# PraisonAI

## Docs

- [AI Agents](https://docs.praison.ai/docs/agents/agents.md): Overview of all available PraisonAI agents and their capabilities
- [Data Analyst Agent](https://docs.praison.ai/docs/agents/data-analyst.md): Learn how to create AI agents for data analysis and insights generation.
- [Deep Research Agent](https://docs.praison.ai/docs/agents/deep-research.md): Automated research using OpenAI or Gemini Deep Research APIs with real-time streaming and citations.
- [Finance Agent](https://docs.praison.ai/docs/agents/finance.md): Learn how to create AI agents for financial analysis and investment recommendations.
- [Image Analysis Agent](https://docs.praison.ai/docs/agents/image.md): Learn how to create AI agents for image analysis and visual content understanding.
- [Image to Text Agent](https://docs.praison.ai/docs/agents/image-to-text.md): Learn how to create AI agents for converting images to textual descriptions and extracting text from images.
- [Markdown Agent](https://docs.praison.ai/docs/agents/markdown.md): Learn how to create AI agents for generating and formatting content in Markdown.
- [Planning Agent](https://docs.praison.ai/docs/agents/planning.md): Learn how to create AI agents for trip planning and itinerary generation.
- [Programming Agent](https://docs.praison.ai/docs/agents/programming.md): Learn how to create AI agents for code development, analysis, and execution.
- [Prompt Expander Agent](https://docs.praison.ai/docs/agents/prompt-expander.md): Expand short prompts into detailed, actionable prompts for better task execution.
- [Query Rewriter Agent](https://docs.praison.ai/docs/agents/query-rewriter.md): Transform user queries to improve RAG retrieval quality using multiple rewriting strategies.
- [Recommendation Agent](https://docs.praison.ai/docs/agents/recommendation.md): Learn how to create AI agents for personalized recommendations across various domains.
- [Research Agent](https://docs.praison.ai/docs/agents/research.md): Learn how to create AI agents for conducting comprehensive research and analysis.
- [Shopping Agent](https://docs.praison.ai/docs/agents/shopping.md): Learn how to create AI agents for price comparison and shopping assistance.
- [Single Agent](https://docs.praison.ai/docs/agents/single.md): Learn how to create a basic single-purpose AI agent for simple tasks.
- [Video Agent](https://docs.praison.ai/docs/agents/video.md): Learn how to create AI agents for video analysis and content understanding.
- [Web Search Agent](https://docs.praison.ai/docs/agents/websearch.md): Learn how to create AI agents for intelligent web searching and information gathering.
- [Wikipedia Agent](https://docs.praison.ai/docs/agents/wikipedia.md): Learn how to create AI agents for searching and extracting information from Wikipedia.
- [API Reference](https://docs.praison.ai/docs/api.md): Complete API reference for PraisonAI, including core modules, installation options, and framework-specific features
- [API Reference](https://docs.praison.ai/docs/api-reference/index.md): PraisonAI API documentation with framework-specific details
- [Workflow API](https://docs.praison.ai/docs/api-reference/workflow-manager.md): API reference for Workflow, Task, WorkflowContext, and StepResult classes
- [API Reference](https://docs.praison.ai/docs/api/index.md): HTTP API endpoints for PraisonAI services
- [A2A Architecture](https://docs.praison.ai/docs/api/praisonaiagents/a2a/architecture.md): Architecture and data flow diagrams for the A2A protocol
- [A2A API](https://docs.praison.ai/docs/api/praisonaiagents/a2a/endpoints.md): Agent-to-Agent communication protocol HTTP endpoints
- [GET Agent Card API](https://docs.praison.ai/docs/api/praisonaiagents/a2a/get-agent-card.md): Retrieve the agent card for A2A discovery
- [GET Status API](https://docs.praison.ai/docs/api/praisonaiagents/a2a/get-status.md): Check A2A server status
- [POST A2A API](https://docs.praison.ai/docs/api/praisonaiagents/a2a/post-a2a.md): Send a message to the agent via A2A protocol
- [AG-UI API](https://docs.praison.ai/docs/api/praisonaiagents/agui/endpoints.md): AG-UI protocol HTTP endpoints for frontend integration
- [GET /status](https://docs.praison.ai/docs/api/praisonaiagents/agui/get-status.md): Check AG-UI server status
- [POST /agui API](https://docs.praison.ai/docs/api/praisonaiagents/agui/post-agui.md): Run agent with AG-UI streaming response
- [praisonaiagents API](https://docs.praison.ai/docs/api/praisonaiagents/index.md): HTTP API endpoints for praisonaiagents
- [Agent Launch API](https://docs.praison.ai/docs/api/praisonaiagents/launch/endpoints.md): HTTP API endpoints for deploying agents as RESTful services
- [POST Agent Endpoint API](https://docs.praison.ai/docs/api/praisonaiagents/launch/post-endpoint.md): Send a message to an agent endpoint
- [MCP Server API](https://docs.praison.ai/docs/api/praisonaiagents/mcp/endpoints.md): Model Context Protocol server endpoints for exposing tools to MCP clients
- [GET /sse API](https://docs.praison.ai/docs/api/praisonaiagents/mcp/get-sse.md): Connect to MCP server via Server-Sent Events
- [POST Messages API](https://docs.praison.ai/docs/api/praisonaiagents/mcp/post-messages.md): Send messages to MCP server
- [Azure Audio](https://docs.praison.ai/docs/audio/azure.md): TTS and STT with Azure
- [Deepgram](https://docs.praison.ai/docs/audio/deepgram.md): Real-time transcription with Deepgram
- [ElevenLabs](https://docs.praison.ai/docs/audio/elevenlabs.md): Premium voices with ElevenLabs
- [Fireworks AI Audio](https://docs.praison.ai/docs/audio/fireworks.md): Fast STT with Fireworks AI
- [Google Gemini Audio](https://docs.praison.ai/docs/audio/gemini.md): TTS and STT with Google Gemini
- [Groq Audio](https://docs.praison.ai/docs/audio/groq.md): Ultra-fast Whisper STT
- [MiniMax Audio](https://docs.praison.ai/docs/audio/minimax.md): TTS with MiniMax
- [OpenAI Audio](https://docs.praison.ai/docs/audio/openai.md): TTS and Whisper
- [Audio Overview](https://docs.praison.ai/docs/audio/overview.md): Text-to-Speech and Speech-to-Text
- [OVHcloud STT](https://docs.praison.ai/docs/audio/ovhcloud.md): OVHcloud AI speech-to-text
- [AWS Polly](https://docs.praison.ai/docs/audio/polly.md): Amazon text-to-speech
- [Vertex AI Audio](https://docs.praison.ai/docs/audio/vertex.md): TTS with Google Cloud Vertex AI
- [Agent Retry Strategies](https://docs.praison.ai/docs/best-practices/agent-retry-strategies.md): Comprehensive guide to implementing effective retry strategies in multi-agent systems
- [Debugging Multi-Agent Systems](https://docs.praison.ai/docs/best-practices/debugging.md): Comprehensive guide to debugging complex multi-agent AI applications
- [Error Handling in Multi-Agent Systems](https://docs.praison.ai/docs/best-practices/error-handling.md): Best practices for implementing robust error handling strategies in multi-agent AI systems
- [Graceful Degradation Patterns](https://docs.praison.ai/docs/best-practices/graceful-degradation.md): Design patterns for building resilient multi-agent systems that degrade gracefully under failure
- [Memory Cleanup for Long-Running Apps](https://docs.praison.ai/docs/best-practices/memory-cleanup.md): Best practices for managing memory in long-running multi-agent applications
- [Multi-User Session Handling](https://docs.praison.ai/docs/best-practices/multi-user-sessions.md): Best practices for managing concurrent user sessions in multi-agent AI applications
- [Performance Tuning Guidelines](https://docs.praison.ai/docs/best-practices/performance-tuning.md): Comprehensive guide to optimizing performance in multi-agent AI systems
- [Security Best Practices](https://docs.praison.ai/docs/best-practices/security.md): Built-in agent security — injection defense, audit logging, and protected paths. Zero boilerplate.
- [State Conflict Resolution](https://docs.praison.ai/docs/best-practices/state-conflict-resolution.md): Strategies for managing and resolving state conflicts in distributed multi-agent systems
- [Task Orchestration Best Practices](https://docs.praison.ai/docs/best-practices/task-orchestration.md): Best practices for designing and implementing complex task workflows
- [Token Usage Optimization](https://docs.praison.ai/docs/best-practices/token-optimization.md): Strategies for optimizing token usage and reducing costs in multi-agent AI systems
- [PraisonAI Call](https://docs.praison.ai/docs/call.md): Guide to PraisonAI's voice-based interaction feature enabling AI customer service through phone calls, including setup and tool integration
- [Completions](https://docs.praison.ai/docs/capabilities/completions.md): Chat and text completions using PraisonAI capabilities
- [Completions CLI](https://docs.praison.ai/docs/capabilities/completions-cli.md): CLI commands for chat and text completions
- [Embeddings](https://docs.praison.ai/docs/capabilities/embeddings.md): Generate text embeddings using PraisonAI capabilities
- [Embeddings CLI](https://docs.praison.ai/docs/capabilities/embeddings-cli.md): CLI commands for generating text embeddings
- [Images](https://docs.praison.ai/docs/capabilities/images.md): Image generation using PraisonAI capabilities
- [Images CLI](https://docs.praison.ai/docs/capabilities/images-cli.md): CLI commands for image generation
- [Capabilities Overview](https://docs.praison.ai/docs/capabilities/index.md): LiteLLM endpoint parity capabilities for PraisonAI
- [Messages](https://docs.praison.ai/docs/capabilities/messages.md): Anthropic-style messages API and token counting
- [Messages CLI](https://docs.praison.ai/docs/capabilities/messages-cli.md): CLI commands for messages API and token counting
- [Moderations](https://docs.praison.ai/docs/capabilities/moderations.md): Content moderation using PraisonAI capabilities
- [Moderations CLI](https://docs.praison.ai/docs/capabilities/moderations-cli.md): CLI commands for content moderation
- [Realtime](https://docs.praison.ai/docs/capabilities/realtime.md): Realtime audio/video streaming with PraisonAI
- [Realtime CLI](https://docs.praison.ai/docs/capabilities/realtime-cli.md): CLI commands for realtime sessions
- [ACP CLI](https://docs.praison.ai/docs/cli/acp.md): CLI commands for Agent Client Protocol (ACP) server
- [Agent-Centric Tools Module](https://docs.praison.ai/docs/cli/agent-tools.md): LSP/ACP-powered tools that make the Agent the central orchestrator for file operations and code intelligence
- [Multi-Agent CLI](https://docs.praison.ai/docs/cli/agents.md): Define and run multiple agents with custom roles, tools, and instructions from the command line
- [API Reference Generator](https://docs.praison.ai/docs/cli/api-md.md): Auto-generate comprehensive API documentation
- [Async Jobs](https://docs.praison.ai/docs/cli/async-jobs.md): Submit and manage long-running agent jobs and recipes via HTTP API
- [@ Mentions](https://docs.praison.ai/docs/cli/at-mentions.md): Include files and directories in your prompts with @ mentions
- [Auto Mode](https://docs.praison.ai/docs/cli/auto.md): Automatically generate and execute agents with intelligent tool discovery
- [Auto Memory](https://docs.praison.ai/docs/cli/auto-memory.md): Automatic memory extraction and storage from conversations
- [Autonomy Modes](https://docs.praison.ai/docs/cli/autonomy-modes.md): Control how much autonomy the AI has when making changes
- [Background Tasks](https://docs.praison.ai/docs/cli/background.md): Run agent tasks and recipes asynchronously in the background
- [Batch](https://docs.praison.ai/docs/cli/batch.md): Run multiple PraisonAI scripts at once for quick debugging and testing
- [Benchmark](https://docs.praison.ai/docs/cli/benchmark.md): Comprehensive performance benchmarking for PraisonAI
- [Call](https://docs.praison.ai/docs/cli/call.md): Voice and call interaction mode
- [Chat](https://docs.praison.ai/docs/cli/chat.md): Interactive chat mode with AI agents
- [Checkpoints](https://docs.praison.ai/docs/cli/checkpoint.md): Shadow git checkpointing for file-level undo/restore
- [Claude CLI](https://docs.praison.ai/docs/cli/claude-cli.md): Use Claude Code CLI as an external agent in PraisonAI
- [Claude Memory Tool](https://docs.praison.ai/docs/cli/claude-memory.md): Enable Anthropic's native memory tool for Claude models
- [CLI Reference](https://docs.praison.ai/docs/cli/cli.md): Complete command-line interface reference for PraisonAI
- [CLI Reference](https://docs.praison.ai/docs/cli/cli-reference.md): Complete command tree and flag reference for PraisonAI CLI
- [Code](https://docs.praison.ai/docs/cli/code.md): Code assistant mode for programming tasks
- [Codex CLI](https://docs.praison.ai/docs/cli/codex-cli.md): Use OpenAI's Codex CLI as an external agent in PraisonAI
- [AI Commit](https://docs.praison.ai/docs/cli/commit.md): Generate AI-powered git commit messages with security scanning
- [Context Compaction](https://docs.praison.ai/docs/cli/compaction.md): Automatic context window management
- [CLI Compare](https://docs.praison.ai/docs/cli/compare.md): Compare different CLI modes to find the best approach for your task
- [Completion](https://docs.praison.ai/docs/cli/completion.md): Shell completion scripts for PraisonAI CLI
- [Config](https://docs.praison.ai/docs/cli/config.md): Configuration management for PraisonAI
- [Context](https://docs.praison.ai/docs/cli/context.md): Context management for agent conversations
- [Cost Tracking](https://docs.praison.ai/docs/cli/cost-tracking.md): Real-time token usage and cost monitoring for AI operations
- [Cursor CLI](https://docs.praison.ai/docs/cli/cursor-cli.md): Use Cursor Agent CLI as an external agent in PraisonAI
- [ChromaDB CLI](https://docs.praison.ai/docs/cli/databases/chroma.md): CLI commands for ChromaDB vector store
- [JSON CLI](https://docs.praison.ai/docs/cli/databases/json.md): CLI commands for JSON file conversation store
- [LanceDB CLI](https://docs.praison.ai/docs/cli/databases/lancedb.md): CLI commands for LanceDB vector store
- [Memory CLI](https://docs.praison.ai/docs/cli/databases/memory.md): CLI commands for in-memory state store
- [MongoDB CLI](https://docs.praison.ai/docs/cli/databases/mongodb.md): CLI commands for MongoDB state store
- [PGVector CLI](https://docs.praison.ai/docs/cli/databases/pgvector.md): CLI commands for PGVector vector store
- [Pinecone CLI](https://docs.praison.ai/docs/cli/databases/pinecone.md): CLI commands for Pinecone vector store
- [PostgreSQL CLI](https://docs.praison.ai/docs/cli/databases/postgres.md): CLI commands for PostgreSQL conversation store
- [Qdrant CLI](https://docs.praison.ai/docs/cli/databases/qdrant.md): CLI commands for Qdrant vector store
- [Redis CLI](https://docs.praison.ai/docs/cli/databases/redis.md): CLI commands for Redis state store
- [SQLite CLI](https://docs.praison.ai/docs/cli/databases/sqlite.md): CLI commands for SQLite conversation store
- [Weaviate CLI](https://docs.praison.ai/docs/cli/databases/weaviate.md): CLI commands for Weaviate vector store
- [Debug CLI](https://docs.praison.ai/docs/cli/debug-cli.md): Debug commands for testing LSP, ACP, and interactive mode non-interactively
- [Deep Research](https://docs.praison.ai/docs/cli/deep-research.md): Automated research with real-time streaming and citations
- [Deploy](https://docs.praison.ai/docs/cli/deploy.md): Deployment management for PraisonAI agents
- [Diag](https://docs.praison.ai/docs/cli/diag.md): Diagnostics export for troubleshooting
- [Docs](https://docs.praison.ai/docs/cli/docs.md): Manage project documentation for AI context
- [Doctor](https://docs.praison.ai/docs/cli/doctor.md): Comprehensive health checks and diagnostics for PraisonAI
- [Doctor CLI](https://docs.praison.ai/docs/cli/doctor-cli.md): CLI reference for PraisonAI Doctor health checks
- [Endpoints CLI](https://docs.praison.ai/docs/cli/endpoints.md): Unified client CLI for interacting with all PraisonAI server types
- [Env](https://docs.praison.ai/docs/cli/env.md): Environment and diagnostics information
- [Agent Evaluation](https://docs.praison.ai/docs/cli/eval.md): Comprehensive evaluation framework for testing and benchmarking AI agents
- [Examples Runner](https://docs.praison.ai/docs/cli/examples.md): Run and manage example files with reporting and diagnostics
- [Fast Context](https://docs.praison.ai/docs/cli/fast-context.md): Search codebase for relevant context to enhance agent responses
- [File Input](https://docs.praison.ai/docs/cli/file-input.md): Read input from files and append to prompts
- [Final Agent](https://docs.praison.ai/docs/cli/final-agent.md): Process output with a specialized final agent
- [Flow Display](https://docs.praison.ai/docs/cli/flow-display.md): Visual workflow tracking for agent executions
- [Gemini CLI](https://docs.praison.ai/docs/cli/gemini-cli.md): Use Google's Gemini CLI as an external agent in PraisonAI
- [Git Identity Configuration](https://docs.praison.ai/docs/cli/git-identity.md): Configure custom git commit author identity for PraisonAI
- [Git Integration](https://docs.praison.ai/docs/cli/git-integration.md): Seamless Git operations with AI-generated commit messages
- [Guardrail](https://docs.praison.ai/docs/cli/guardrail.md): Validate agent outputs with LLM-based guardrails
- [Handoff](https://docs.praison.ai/docs/cli/handoff.md): Enable agent-to-agent task delegation for complex workflows
- [Hooks](https://docs.praison.ai/docs/cli/hooks.md): Event-driven actions triggered during agent execution
- [Image Processing](https://docs.praison.ai/docs/cli/image.md): Process images with vision-based AI agents
- [Image Description](https://docs.praison.ai/docs/cli/image-describe.md): Analyze and describe images using vision-capable AI models
- [Image Generation](https://docs.praison.ai/docs/cli/image-generate.md): Generate new images from text descriptions using DALL-E and similar models
- [Init](https://docs.praison.ai/docs/cli/init.md): Initialize agents.yaml with intelligent tool discovery
- [Interactive Runtime Module](https://docs.praison.ai/docs/cli/interactive-runtime.md): Unified core runtime for all interactive modes with session management and approval flows
- [Interactive Tools](https://docs.praison.ai/docs/cli/interactive-tools.md): Default ACP and LSP tools for interactive modes (TUI and prompt)
- [Interactive TUI](https://docs.praison.ai/docs/cli/interactive-tui.md): Rich interactive terminal interface for AI-assisted coding
- [Knowledge CLI](https://docs.praison.ai/docs/cli/knowledge.md): Manage RAG/vector store knowledge bases with advanced retrieval strategies
- [Knowledge CLI](https://docs.praison.ai/docs/cli/knowledge-cli.md): CLI commands for knowledge base management
- [Lazy Imports CLI](https://docs.praison.ai/docs/cli/lazy-imports.md): CLI commands for verifying lazy import behavior
- [Lite Package CLI](https://docs.praison.ai/docs/cli/lite.md): CLI commands for the lightweight agent package
- [LSP](https://docs.praison.ai/docs/cli/lsp.md): Language Server Protocol service lifecycle
- [LSP Code Intelligence Module](https://docs.praison.ai/docs/cli/lsp-code-intelligence.md): Agent-centric LSP-powered code intelligence tools for symbol analysis, definition lookup, and reference finding
- [Max Tokens](https://docs.praison.ai/docs/cli/max-tokens.md): Control maximum output tokens for agent responses
- [MCP (Model Context Protocol)](https://docs.praison.ai/docs/cli/mcp.md): Integrate Model Context Protocol servers as tools for agents
- [MCP Lifecycle CLI](https://docs.praison.ai/docs/cli/mcp-lifecycle.md): CLI commands for MCP connection management
- [MCP Pagination CLI](https://docs.praison.ai/docs/cli/mcp-pagination.md): CLI commands for paginating MCP tools, resources, and prompts
- [MCP Registry Bridge CLI](https://docs.praison.ai/docs/cli/mcp-registry-bridge.md): CLI information for the MCP registry bridge adapter
- [MCP Server CLI](https://docs.praison.ai/docs/cli/mcp-server.md): CLI commands for running PraisonAI as an MCP server
- [MCP Tool Annotations CLI](https://docs.praison.ai/docs/cli/mcp-tool-annotations.md): CLI commands for viewing tool annotations and metadata
- [MCP Tool Search CLI](https://docs.praison.ai/docs/cli/mcp-tool-search.md): CLI commands for searching and filtering MCP tools
- [Memory](https://docs.praison.ai/docs/cli/memory.md): Persistent agent memory that works across sessions
- [@Mentions](https://docs.praison.ai/docs/cli/mentions.md): Include files, docs, and web content in prompts using @mentions
- [Message Queue](https://docs.praison.ai/docs/cli/message-queue.md): Queue messages while the AI agent is processing
- [Metrics](https://docs.praison.ai/docs/cli/metrics.md): Track token usage and cost metrics for agent executions
- [observability](https://docs.praison.ai/docs/cli/monitoring/observability.md): Observability diagnostics and trace verification CLI
- [n8n Integration](https://docs.praison.ai/docs/cli/n8n.md): Export and run PraisonAI workflows in n8n
- [Output Styles](https://docs.praison.ai/docs/cli/output-style.md): Configure agent output formatting
- [Package](https://docs.praison.ai/docs/cli/package.md): Package management for PraisonAI extensions
- [Package Manager CLI](https://docs.praison.ai/docs/cli/package-manager.md): Install, uninstall, and manage Python packages with security defaults
- [Performance CLI](https://docs.praison.ai/docs/cli/performance.md): CLI commands for performance benchmarking and regression testing
- [Persistence CLI](https://docs.praison.ai/docs/cli/persistence.md): CLI commands for database persistence
- [Planning Mode](https://docs.praison.ai/docs/cli/planning.md): Enable step-by-step planning and execution for complex tasks
- [Policy Engine](https://docs.praison.ai/docs/cli/policy.md): Policy-based execution control for agent operations
- [Profile API](https://docs.praison.ai/docs/cli/profile.md): Detailed performance profiling and diagnostics for AI agents
- [CLI Profiling](https://docs.praison.ai/docs/cli/profiling.md): Profile agent execution from the command line
- [Prompt Caching](https://docs.praison.ai/docs/cli/prompt-caching.md): Reduce costs for repeated prompts with prompt caching
- [Prompt Expansion](https://docs.praison.ai/docs/cli/prompt-expansion.md): Expand short prompts into detailed, actionable prompts
- [Query Rewrite](https://docs.praison.ai/docs/cli/query-rewrite.md): Optimize queries for better RAG retrieval using QueryRewriterAgent
- [Queue](https://docs.praison.ai/docs/cli/queue.md): Queue management for async tasks
- [RAG CLI](https://docs.praison.ai/docs/cli/rag.md): Command-line interface for RAG operations
- [Real API Testing CLI](https://docs.praison.ai/docs/cli/real-api-testing.md): CLI commands for running integration tests with real API keys
- [Realtime](https://docs.praison.ai/docs/cli/realtime.md): Realtime interaction mode for live AI conversations
- [AI Code Editor Examples](https://docs.praison.ai/docs/cli/realworld-examples.md): 10 real-world examples of PraisonAI as an AI code editor - editing files, running tests, and fixing bugs
- [Recipe](https://docs.praison.ai/docs/cli/recipe.md): Recipe management for reusable agent configurations
- [Recipe Create](https://docs.praison.ai/docs/cli/recipe-create.md): Create AI agent recipes from natural language goals
- [Recipe Optimize](https://docs.praison.ai/docs/cli/recipe-optimize.md): Improve existing recipes with AI-powered feedback
- [Policy Packs](https://docs.praison.ai/docs/cli/recipe-policy.md): Manage tool permissions, data policies, and execution modes
- [Recipe Registry](https://docs.praison.ai/docs/cli/recipe-registry.md): Publish and pull recipes from local or remote registries
- [Run History](https://docs.praison.ai/docs/cli/recipe-runs.md): Store, query, and export recipe run history
- [Security Features](https://docs.praison.ai/docs/cli/recipe-security.md): SBOM generation, signing, auditing, and PII redaction
- [Recipe Serve](https://docs.praison.ai/docs/cli/recipe-serve.md): HTTP server for recipe endpoints
- [Recipe Serve Advanced CLI](https://docs.praison.ai/docs/cli/recipe-serve-advanced.md): CLI options for rate limiting, metrics, admin, workers, and tracing
- [Recipes CLI](https://docs.praison.ai/docs/cli/recipes.md): Run AI-powered recipes from the command line
- [Recipes Code Usage](https://docs.praison.ai/docs/cli/recipes-code.md): Use AI-powered recipes programmatically in Python
- [Registry](https://docs.praison.ai/docs/cli/registry.md): Registry management for packages and recipes
- [Repository Map](https://docs.praison.ai/docs/cli/repo-map.md): Intelligent codebase mapping for context-aware AI assistance
- [Research](https://docs.praison.ai/docs/cli/research.md): Research and analysis mode for in-depth investigations
- [Retrieval CLI Commands](https://docs.praison.ai/docs/cli/retrieval.md): Command-line interface for knowledge indexing and retrieval
- [Router](https://docs.praison.ai/docs/cli/router.md): Smart model selection based on task complexity
- [Rules](https://docs.praison.ai/docs/cli/rules.md): Auto-discovered instruction files for agent behavior
- [Run](https://docs.praison.ai/docs/cli/run.md): Run agents from files or prompts
- [Sandbox CLI](https://docs.praison.ai/docs/cli/sandbox.md): Secure command execution in sandboxed environments
- [Sandbox Execution](https://docs.praison.ai/docs/cli/sandbox-execution.md): Secure isolated execution environment for AI-generated commands
- [Schedule](https://docs.praison.ai/docs/cli/schedule.md): Scheduler management for automated agent execution
- [Scheduler CLI](https://docs.praison.ai/docs/cli/scheduler.md): Schedule agents to run continuously 24/7 at regular intervals
- [Serve](https://docs.praison.ai/docs/cli/serve.md): Launch PraisonAI servers with unified discovery support
- [Session](https://docs.praison.ai/docs/cli/session.md): Manage conversation sessions for multi-turn interactions
- [Agent Skills](https://docs.praison.ai/docs/cli/skills.md): Manage modular skills for agents using the open Agent Skills standard
- [Slash Commands](https://docs.praison.ai/docs/cli/slash-commands.md): Interactive slash commands for PraisonAI CLI
- [Standardise](https://docs.praison.ai/docs/cli/standardise.md): Documentation and examples standardisation (FDEP) CLI commands
- [Strict Tools Mode](https://docs.praison.ai/docs/cli/strict-tools.md): Fail-fast dependency checking for templates
- [Strict Tools CLI](https://docs.praison.ai/docs/cli/strict-tools-cli.md): CLI commands for strict dependency checking
- [Telemetry](https://docs.praison.ai/docs/cli/telemetry.md): Enable usage monitoring and analytics for agent executions
- [Template Catalog CLI](https://docs.praison.ai/docs/cli/template-catalog.md): CLI commands for browsing, building, and managing the PraisonAI template catalog
- [Template Catalog Module](https://docs.praison.ai/docs/cli/template-catalog-code.md): Python API for interacting with the PraisonAI template catalog
- [Templates](https://docs.praison.ai/docs/cli/templates.md): Manage and run AI agent templates and recipes
- [Add Templates](https://docs.praison.ai/docs/cli/templates-add.md): Add templates from GitHub or local paths to PraisonAI
- [Add Templates CLI](https://docs.praison.ai/docs/cli/templates-add-cli.md): CLI commands for adding templates to PraisonAI
- [Templates CLI](https://docs.praison.ai/docs/cli/templates-cli.md): CLI commands for managing AI agent templates
- [Thinking Budgets](https://docs.praison.ai/docs/cli/thinking.md): Configure extended thinking token budgets
- [Thread Safety CLI](https://docs.praison.ai/docs/cli/thread-safety.md): CLI commands for verifying thread-safe agent operations
- [Todo](https://docs.praison.ai/docs/cli/todo.md): Manage todo lists and generate tasks from agent responses
- [Tool Approval](https://docs.praison.ai/docs/cli/tool-approval.md): Control tool execution approval in PraisonAI CLI
- [Tool Call Tracking](https://docs.praison.ai/docs/cli/tool-tracking.md): Real-time tool call tracking and display in PraisonAI CLI
- [Tools](https://docs.praison.ai/docs/cli/tools.md): Discover and manage available tools for agents
- [Add Tools](https://docs.praison.ai/docs/cli/tools-add.md): Add tools from files or GitHub to PraisonAI
- [Add Tools CLI](https://docs.praison.ai/docs/cli/tools-add-cli.md): CLI commands for adding tools to PraisonAI
- [Tools Discover](https://docs.praison.ai/docs/cli/tools-discover.md): Discover tools from installed packages
- [Tools Discover CLI](https://docs.praison.ai/docs/cli/tools-discover-cli.md): CLI commands for discovering tools from packages
- [Tools Doctor](https://docs.praison.ai/docs/cli/tools-doctor.md): Diagnose tool availability and dependencies
- [Tools Doctor CLI](https://docs.praison.ai/docs/cli/tools-doctor-cli.md): CLI commands for diagnosing tool availability
- [Tools Override](https://docs.praison.ai/docs/cli/tools-override.md): Load custom tools from files and directories
- [Tools Override CLI](https://docs.praison.ai/docs/cli/tools-override-cli.md): CLI commands for loading custom tools
- [Tools Resolve](https://docs.praison.ai/docs/cli/tools-resolve.md): Resolve a tool name to its source location
- [Tools Resolve CLI](https://docs.praison.ai/docs/cli/tools-resolve-cli.md): CLI commands for resolving tool names
- [Tools Show Sources](https://docs.praison.ai/docs/cli/tools-show-sources.md): Show all tool sources for a template
- [Tools Show Sources CLI](https://docs.praison.ai/docs/cli/tools-show-sources-cli.md): CLI commands for showing tool sources
- [Tools Sources](https://docs.praison.ai/docs/cli/tools-sources.md): Configure tool sources for templates
- [Tools Sources CLI](https://docs.praison.ai/docs/cli/tools-sources-cli.md): CLI commands for configuring tool sources
- [Traces](https://docs.praison.ai/docs/cli/traces.md): Trace collection management for debugging and monitoring
- [Tracker](https://docs.praison.ai/docs/cli/tracker.md): Run agents autonomously with step-by-step execution tracking and LLM-based quality judging
- [Train](https://docs.praison.ai/docs/cli/train.md): Model training and fine-tuning
- [TUI](https://docs.praison.ai/docs/cli/tui.md): Interactive TUI and simulation commands
- [TypeScript CLI (praisonai-ts)](https://docs.praison.ai/docs/cli/typescript-cli.md): Complete reference for the PraisonAI TypeScript CLI
- [UI](https://docs.praison.ai/docs/cli/ui.md): Web UI management for PraisonAI
- [Version](https://docs.praison.ai/docs/cli/version.md): Version information and update checking
- [Web Fetch](https://docs.praison.ai/docs/cli/web-fetch.md): Retrieve and analyze URL content (Anthropic only)
- [Web Search](https://docs.praison.ai/docs/cli/web-search.md): Get real-time information using native web search capabilities
- [Workflow](https://docs.praison.ai/docs/cli/workflow.md): Create and execute reusable multi-step workflows
- [Claude Code Integration](https://docs.praison.ai/docs/code/claude-code.md): Integrate Anthropic's Claude Code CLI for AI-powered coding tasks
- [Codex CLI Integration](https://docs.praison.ai/docs/code/codex-cli.md): Integrate OpenAI's Codex CLI for non-interactive code execution
- [Cursor CLI Integration](https://docs.praison.ai/docs/code/cursor-cli.md): Integrate Cursor's CLI for headless code automation
- [Code Editing](https://docs.praison.ai/docs/code/editing.md): AI-powered code editing with SEARCH/REPLACE diff format
- [External Agents](https://docs.praison.ai/docs/code/external-agents.md): Integrate external AI coding CLI tools as PraisonAI agent tools
- [Gemini CLI Integration](https://docs.praison.ai/docs/code/gemini-cli.md): Integrate Google's Gemini CLI for AI-powered code analysis and generation
- [Code Features Overview](https://docs.praison.ai/docs/code/overview.md): AI-powered code editing and external CLI tool integrations for PraisonAI
- [Agent Learn](https://docs.praison.ai/docs/concepts/agent-learn.md): Continuous learning system for capturing patterns, preferences, and insights from agent interactions
- [Agent Train](https://docs.praison.ai/docs/concepts/agent-train.md): Active iterative training with human or LLM feedback to improve agent behavior
- [AgentFlow](https://docs.praison.ai/docs/concepts/agentflow.md): Deterministic workflow orchestration for multi-step pipelines
- [AgentOS](https://docs.praison.ai/docs/concepts/agentos.md): Deploy AI agents as production web services
- [Agents](https://docs.praison.ai/docs/concepts/agents.md): Understanding Agents in PraisonAI
- [AgentTeam](https://docs.praison.ai/docs/concepts/agentteam.md): Multi-agent coordinator for orchestrating teams of AI agents
- [Approval](https://docs.praison.ai/docs/concepts/approval.md): Route tool approvals to Slack, Discord, Telegram, or any channel before agents execute dangerous operations
- [SDK Architecture](https://docs.praison.ai/docs/concepts/architecture.md): Understanding the PraisonAI SDK structure and design methodology
- [Agent Autonomy](https://docs.praison.ai/docs/concepts/autonomy.md): Control how independently agents operate - from suggestions to full automation
- [Autonomy vs Interactive](https://docs.praison.ai/docs/concepts/autonomy-vs-interactive.md): Understand how autonomy and interactive modes differ, their tool systems, and the recommended architecture
- [BotOS](https://docs.praison.ai/docs/concepts/bot-os.md): Turn your AI agent into a messaging bot — step by step
- [Budget Management](https://docs.praison.ai/docs/concepts/budget.md): Set hard dollar limits on agent runs to control LLM costs
- [Agent Caching](https://docs.praison.ai/docs/concepts/caching.md): Optimize performance with response and prompt caching
- [PraisonAI Claw](https://docs.praison.ai/docs/concepts/claw.md): Connect your AI agents to Telegram, Discord, Slack and more — all from a single command
- [AI Agents with Context](https://docs.praison.ai/docs/concepts/context.md): Complete guide to context management - token budgeting, optimization strategies, multi-agent policies, and monitoring.
- [Context vs Knowledge](https://docs.praison.ai/docs/concepts/context-vs-knowledge.md): Understanding the key differences between context management and knowledge systems in PraisonAI agents.
- [Context vs Memory](https://docs.praison.ai/docs/concepts/context-vs-memory.md): Understanding the key differences between context management and memory systems in PraisonAI agents.
- [Core Components](https://docs.praison.ai/docs/concepts/core-components.md): Compare Agent, AgentTeam, AgentFlow, and AgentOS
- [Core Principles](https://docs.praison.ai/docs/concepts/core-principles.md): Engineering principles and design philosophy behind PraisonAI
- [Agent Evaluation](https://docs.praison.ai/docs/concepts/evaluation.md): Evaluate AI agent outputs with LLM-as-Judge and comprehensive metrics
- [Agent Execution](https://docs.praison.ai/docs/concepts/execution.md): Control agent execution limits - iterations, time, rate limiting, and retries
- [Agent Guardrails](https://docs.praison.ai/docs/concepts/guardrails.md): LLM-based output validation and quality assurance for task outputs
- [Agent Handoffs](https://docs.praison.ai/docs/concepts/handoffs.md): Enable seamless task delegation between agents for complex workflows
- [Agent Hooks](https://docs.praison.ai/docs/concepts/hooks.md): Intercept and customize agent behavior at key execution points
- [Hooks vs Callbacks](https://docs.praison.ai/docs/concepts/hooks-vs-callbacks.md): Understanding when to use hooks for control vs callbacks for observation
- [Input Handling](https://docs.praison.ai/docs/concepts/input-handling.md): Handle user input with validation and guardrails in PraisonAI
- [AI Agents with Knowledge](https://docs.praison.ai/docs/concepts/knowledge.md): Learn how to create AI agents with custom knowledge bases
- [Knowledge vs Memory vs Context vs RAG](https://docs.praison.ai/docs/concepts/knowledge-memory-context-rag.md): Understand the four key information systems in PraisonAI and when to use each
- [Learn vs Train](https://docs.praison.ai/docs/concepts/learn-vs-train.md): Understanding the difference between passive learning and active training
- [Managed Agents](https://docs.praison.ai/docs/concepts/managed-agents.md): Run agents on cloud infrastructure with automatic provisioning and management
- [Daytona Workspace Agents](https://docs.praison.ai/docs/concepts/managed-agents-daytona.md): Run managed agents in persistent Daytona development workspaces
- [Docker Compute Agents](https://docs.praison.ai/docs/concepts/managed-agents-docker.md): Run managed agents in isolated Docker containers with custom environments
- [E2B Cloud Agents](https://docs.praison.ai/docs/concepts/managed-agents-e2b.md): Run managed agents in E2B cloud sandboxes with instant provisioning
- [Local Managed Agents](https://docs.praison.ai/docs/concepts/managed-agents-local.md): Run managed agents on local infrastructure with cloud management APIs
- [Modal Compute Agents](https://docs.praison.ai/docs/concepts/managed-agents-modal.md): Run managed agents on Modal's serverless compute platform for scalable workloads
- [Agent MCP Integration](https://docs.praison.ai/docs/concepts/mcp.md): Connect agents to external tools and services via Model Context Protocol
- [AI Agents with Memory](https://docs.praison.ai/docs/concepts/memory.md): Complete guide to memory capabilities - from zero-dependency file storage to multi-agent RAG memory systems.
- [Memory vs Learning](https://docs.praison.ai/docs/concepts/memory-vs-learning.md): Understand the difference between Memory (storage) and Learning (adaptive knowledge extraction)
- [Agent Output](https://docs.praison.ai/docs/concepts/output.md): Control how agents display responses - from silent to verbose with streaming
- [Agent Planning](https://docs.praison.ai/docs/concepts/planning.md): Enable agents to break down complex tasks into executable steps before acting
- [Agent Process Types](https://docs.praison.ai/docs/concepts/process.md): Understanding Process Types in PraisonAI
- [RAG (Retrieval Augmented Generation)](https://docs.praison.ai/docs/concepts/rag.md): Complete guide to RAG - how agents retrieve and use knowledge to generate accurate, grounded responses
- [Ralph Loops](https://docs.praison.ai/docs/concepts/ralph-loops.md): Run agents in autonomous loops with fresh context and file-based persistence
- [Agent Templates](https://docs.praison.ai/docs/concepts/recipes.md): Pre-built AI agent blueprints you can use instantly or customize
- [Agent Reflection](https://docs.praison.ai/docs/concepts/reflection.md): Enable agents to evaluate and improve their own responses through self-reflection
- [Agent Session Management](https://docs.praison.ai/docs/concepts/session-management.md): Build stateful applications with persistent sessions in PraisonAI
- [Agent Skills](https://docs.praison.ai/docs/concepts/skills.md): Extend agent capabilities with modular, reusable skill packages
- [Storage Paths](https://docs.praison.ai/docs/concepts/storage-paths.md): Where PraisonAI stores data — global vs project-local directories and how to customize them
- [Store Types](https://docs.praison.ai/docs/concepts/store-types.md): Choose the right store type: Conversation, Knowledge, or State
- [Agent Tasks](https://docs.praison.ai/docs/concepts/tasks.md): Understanding Tasks in PraisonAI
- [Prompt Templates](https://docs.praison.ai/docs/concepts/templates.md): Customize agent prompts with system, prompt, and response templates
- [AI Agents with Tools](https://docs.praison.ai/docs/concepts/tools.md): Learn how to create AI agents that can use tools to interact with external systems and perform actions.
- [Web](https://docs.praison.ai/docs/concepts/web.md): Enable agents to search the web and fetch page content
- [Agent Configuration](https://docs.praison.ai/docs/configuration/agent-config.md): Complete reference for agent configuration parameters
- [AutonomyConfig](https://docs.praison.ai/docs/configuration/autonomy-config.md): Configure agent autonomy levels, escalation, and approval policies
- [Configuration Best Practices](https://docs.praison.ai/docs/configuration/best-practices.md): Best practices and guidelines for configuring PraisonAI effectively
- [CachingConfig](https://docs.praison.ai/docs/configuration/caching-config.md): Configure caching behavior for agent responses and prompts
- [ExecutionConfig](https://docs.praison.ai/docs/configuration/execution-config.md): Configure agent execution limits including iterations, rate limits, and timeouts
- [Guardrail Configuration](https://docs.praison.ai/docs/configuration/guardrail-config.md): Complete reference for custom validation rules and guardrail settings
- [Handoff Configuration](https://docs.praison.ai/docs/configuration/handoff-config.md): Complete reference for handoff filters and advanced delegation settings
- [HooksConfig](https://docs.praison.ai/docs/configuration/hooks-config.md): Configure callbacks and middleware for agent lifecycle events
- [Configuration Reference](https://docs.praison.ai/docs/configuration/index.md): Complete configuration guide for PraisonAI agents, tasks, memory, and more
- [KnowledgeConfig](https://docs.praison.ai/docs/configuration/knowledge-config.md): Configure RAG and knowledge retrieval for agents
- [LearnConfig](https://docs.praison.ai/docs/configuration/learn-config.md): Configure continuous learning to capture patterns and preferences from agent interactions
- [LLM Configuration](https://docs.praison.ai/docs/configuration/llm-config.md): Complete reference for LLM configuration including retry logic, timeouts, and custom headers
- [Memory Configuration](https://docs.praison.ai/docs/configuration/memory-config.md): Complete reference for memory system configuration including graph stores, quality scores, and embedders
- [OutputConfig](https://docs.praison.ai/docs/configuration/output-config.md): Configure agent output behavior including verbosity, streaming, and formatting
- [PlanningConfig](https://docs.praison.ai/docs/configuration/planning-config.md): Configure planning mode for agents to create and execute structured plans
- [ReflectionConfig](https://docs.praison.ai/docs/configuration/reflection-config.md): Configure self-reflection for agents to evaluate and improve responses
- [SkillsConfig](https://docs.praison.ai/docs/configuration/skills-config.md): Configure agent skills discovery and loading
- [Task Configuration](https://docs.praison.ai/docs/configuration/task-config.md): Complete reference for task configuration parameters and workflow control
- [TemplateConfig](https://docs.praison.ai/docs/configuration/template-config.md): Configure prompt templates for system, user, and response formatting
- [Tool Configuration](https://docs.praison.ai/docs/configuration/tool-config.md): Complete reference for tool timeout settings and performance tuning
- [WebConfig](https://docs.praison.ai/docs/configuration/web-config.md): Configure web search and fetch capabilities for agents
- [Contributing](https://docs.praison.ai/docs/contributing.md): Guide for contributing to PraisonAI through GitHub, including forking, cloning, and submitting pull requests
- [Introduction to AI Agents](https://docs.praison.ai/docs/course/agents/01-introduction.md): Welcome to the beginner's course on AI Agents
- [Types of AI Agents](https://docs.praison.ai/docs/course/agents/02-types-of-agents.md): Understanding the different categories of AI agents
- [Agent Architecture](https://docs.praison.ai/docs/course/agents/03-agent-architecture.md): Understanding how AI agents are structured
- [Creating Effective Agent Instructions](https://docs.praison.ai/docs/course/agents/04-agent-instructions.md): How to write clear instructions for your AI agents
- [Agent Tools](https://docs.praison.ai/docs/course/agents/05-agent-tools.md): Understanding how tools extend agent capabilities
- [Agent Memory](https://docs.praison.ai/docs/course/agents/06-agent-memory.md): Understanding how agents maintain context and learn
- [Multi-Agent Systems](https://docs.praison.ai/docs/course/agents/07-multi-agent-systems.md): How multiple agents can work together
- [Agent Process](https://docs.praison.ai/docs/course/agents/08-agent-process.md): Understanding agent workflows and processes
- [Knowledge Bases](https://docs.praison.ai/docs/course/agents/09-knowledge-bases.md): Enhancing agents with specialized knowledge
- [Agent Tasks](https://docs.praison.ai/docs/course/agents/10-agent-tasks.md): Understanding how agents handle and manage tasks
- [Creating Your First Agent](https://docs.praison.ai/docs/course/agents/11-creating-your-first-agent.md): A step-by-step guide to building your first AI agent
- [Adding Tools to Agents](https://docs.praison.ai/docs/course/agents/12-adding-tools-to-agents.md): Enhancing your agents with specialized capabilities
- [Building a Multi-Agent System](https://docs.praison.ai/docs/course/agents/13-building-multi-agent-system.md): Creating a system with multiple cooperative agents
- [Building Conversational Agents](https://docs.praison.ai/docs/course/agents/14-conversational-agents.md): Creating agents that maintain context in conversations
- [Building Research Agents](https://docs.praison.ai/docs/course/agents/15-research-agents.md): Creating agents that can gather and analyze information
- [Content Creation Agents](https://docs.praison.ai/docs/course/agents/16-content-creation-agents.md): Building agents that generate various types of content
- [Data Analysis Agents](https://docs.praison.ai/docs/course/agents/17-data-analysis-agents.md): Creating agents that analyze and interpret data
- [Customer Support Agents](https://docs.praison.ai/docs/course/agents/18-customer-support-agents.md): Building agents that handle customer inquiries and issues
- [Personal Assistant Agents](https://docs.praison.ai/docs/course/agents/19-personal-assistant-agents.md): Building agents that help with personal tasks and productivity
- [Deploying Agents](https://docs.praison.ai/docs/course/agents/20-deploying-agents.md): How to deploy and share your AI agents with others
- [Cassandra](https://docs.praison.ai/docs/databases/cassandra.md): Apache Cassandra vector store for PraisonAI
- [ChromaDB](https://docs.praison.ai/docs/databases/chroma.md): ChromaDB vector store for PraisonAI
- [ClickHouse](https://docs.praison.ai/docs/databases/clickhouse.md): ClickHouse vector store for PraisonAI
- [Azure Cosmos DB](https://docs.praison.ai/docs/databases/cosmosdb.md): Azure Cosmos DB vector store for PraisonAI
- [Couchbase](https://docs.praison.ai/docs/databases/couchbase.md): Couchbase vector store for PraisonAI
- [DynamoDB](https://docs.praison.ai/docs/databases/dynamodb.md): AWS DynamoDB state store
- [Firestore](https://docs.praison.ai/docs/databases/firestore.md): Google Cloud Firestore state store
- [Google Cloud Storage](https://docs.praison.ai/docs/databases/gcs.md): GCS for file storage
- [JSON](https://docs.praison.ai/docs/databases/json.md): JSON file storage
- [LanceDB](https://docs.praison.ai/docs/databases/lancedb.md): LanceDB embedded vector store for PraisonAI
- [Milvus](https://docs.praison.ai/docs/databases/milvus.md): Milvus vector store for PraisonAI
- [MongoDB](https://docs.praison.ai/docs/databases/mongodb.md): MongoDB state store setup
- [MySQL](https://docs.praison.ai/docs/databases/mysql.md): MySQL conversation store setup
- [Neon](https://docs.praison.ai/docs/databases/neon.md): Neon serverless PostgreSQL
- [Databases Overview](https://docs.praison.ai/docs/databases/overview.md): Supported database backends for PraisonAI
- [PGVector](https://docs.praison.ai/docs/databases/pgvector.md): PostgreSQL with pgvector extension for PraisonAI
- [Pinecone](https://docs.praison.ai/docs/databases/pinecone.md): Pinecone vector store for PraisonAI
- [PostgreSQL](https://docs.praison.ai/docs/databases/postgres.md): PostgreSQL conversation store setup
- [Qdrant](https://docs.praison.ai/docs/databases/qdrant.md): Qdrant vector database for knowledge storage
- [Redis](https://docs.praison.ai/docs/databases/redis.md): Redis for state and caching
- [SingleStore](https://docs.praison.ai/docs/databases/singlestore.md): SingleStore conversation store
- [SQLite](https://docs.praison.ai/docs/databases/sqlite.md): SQLite conversation store setup
- [Supabase](https://docs.praison.ai/docs/databases/supabase.md): Supabase conversation store for PraisonAI
- [SurrealDB](https://docs.praison.ai/docs/databases/surrealdb.md): SurrealDB conversation store
- [Upstash](https://docs.praison.ai/docs/databases/upstash.md): Upstash Redis state store
- [Weaviate](https://docs.praison.ai/docs/databases/weaviate.md): Weaviate vector store for PraisonAI
- [Deploy API: A2A Server](https://docs.praison.ai/docs/deploy/api/a2a-api.md): A2A protocol endpoints for agent-to-agent communication
- [A2U API](https://docs.praison.ai/docs/deploy/api/a2u-api.md): Agent-to-User event streaming API endpoints
- [Deploy API: Agents Server](https://docs.praison.ai/docs/deploy/api/agents-api.md): HTTP API endpoints for agent servers
- [Deploy API: AGUI Server](https://docs.praison.ai/docs/deploy/api/agui-api.md): AG-UI protocol endpoints for CopilotKit integration
- [Cancel Run API](https://docs.praison.ai/docs/deploy/api/async-jobs/cancel-run.md): Cancel a running async job
- [Delete Run API](https://docs.praison.ai/docs/deploy/api/async-jobs/delete-run.md): Delete an async job and its data
- [Get Run Result API](https://docs.praison.ai/docs/deploy/api/async-jobs/get-run-result.md): Get the result of a completed async job
- [Get Run Status API](https://docs.praison.ai/docs/deploy/api/async-jobs/get-run-status.md): Get the current status of an async job
- [Health Check API](https://docs.praison.ai/docs/deploy/api/async-jobs/health.md): Check the health status of the async jobs server
- [Async Jobs API](https://docs.praison.ai/docs/deploy/api/async-jobs/index.md): HTTP API endpoints for submitting and managing long-running agent jobs
- [List Runs API](https://docs.praison.ai/docs/deploy/api/async-jobs/list-runs.md): List all async jobs with optional filtering
- [Stats API](https://docs.praison.ai/docs/deploy/api/async-jobs/stats.md): Get statistics about async jobs
- [Stream Run API](https://docs.praison.ai/docs/deploy/api/async-jobs/stream-run.md): Stream real-time progress updates via Server-Sent Events
- [Submit Run API](https://docs.praison.ai/docs/deploy/api/async-jobs/submit-run.md): Submit a new async job for execution
- [Discovery API](https://docs.praison.ai/docs/deploy/api/discovery-api.md): Unified discovery endpoint for PraisonAI servers
- [Health API](https://docs.praison.ai/docs/deploy/api/health-api.md): Health check endpoint for PraisonAI servers
- [PraisonAI API Overview](https://docs.praison.ai/docs/deploy/api/index.md): Complete API reference for PraisonAI servers with interactive playground
- [Jobs API](https://docs.praison.ai/docs/deploy/api/jobs-api.md): Async job management API for long-running agent tasks
- [Deploy API: MCP Server](https://docs.praison.ai/docs/deploy/api/mcp-api.md): MCP protocol endpoints for agent and tools servers
- [Recipe API](https://docs.praison.ai/docs/deploy/api/recipe-api.md): HTTP API endpoints for recipe runner server
- [Recipe Registry API](https://docs.praison.ai/docs/deploy/api/recipe-registry-api.md): HTTP API endpoints for recipe registry server
- [Voice Call API](https://docs.praison.ai/docs/deploy/api/voice-call/endpoints.md): Twilio voice integration with OpenAI Realtime API
- [Async Jobs Deployment](https://docs.praison.ai/docs/deploy/async-jobs-deploy.md): Deploy the async jobs server for production agent and recipe execution
- [Background Tasks Deployment](https://docs.praison.ai/docs/deploy/background-tasks.md): Deploy and manage background task execution for agents and recipes
- [Deploy: API Server](https://docs.praison.ai/docs/deploy/cli/api.md): Deploy agents as a local API server using praisonai deploy
- [Deploy: AWS](https://docs.praison.ai/docs/deploy/cli/aws.md): Deploy agents to AWS ECS/Fargate using praisonai deploy
- [Deploy CLI: Azure](https://docs.praison.ai/docs/deploy/cli/azure.md): Deploy agents to Azure Container Apps using praisonai deploy
- [Deploy: Docker](https://docs.praison.ai/docs/deploy/cli/docker.md): Deploy agents to Docker containers using praisonai deploy
- [Deploy CLI: Doctor](https://docs.praison.ai/docs/deploy/cli/doctor.md): Check deployment readiness using praisonai deploy doctor
- [Deploy: GCP](https://docs.praison.ai/docs/deploy/cli/gcp.md): Deploy agents to Google Cloud Run using praisonai deploy
- [Deploy CLI](https://docs.praison.ai/docs/deploy/cli/index.md): Deploy agents using praisonai deploy command
- [Deploy CLI: Status & Destroy](https://docs.praison.ai/docs/deploy/cli/status.md): Check deployment status and destroy deployments using praisonai deploy
- [Deploy](https://docs.praison.ai/docs/deploy/index.md): Deploy PraisonAI agents to cloud, Docker, or as local servers
- [Recipe Registry Server](https://docs.praison.ai/docs/deploy/recipe-registry-server.md): Deploy and manage HTTP recipe registry servers
- [Scheduler Deployment](https://docs.praison.ai/docs/deploy/scheduler-deploy.md): Deploy scheduled agent and recipe execution for 24/7 automation
- [Server: A2A](https://docs.praison.ai/docs/deploy/servers/a2a.md): Deploy agents as A2A (Agent-to-Agent) protocol servers
- [Server: A2U](https://docs.praison.ai/docs/deploy/servers/a2u.md): Deploy agents with A2U (Agent-to-User) event streaming
- [Server: Agents HTTP](https://docs.praison.ai/docs/deploy/servers/agents.md): Deploy agents as HTTP API servers using praisonai --serve or Agent.launch()
- [Server: Agents MCP](https://docs.praison.ai/docs/deploy/servers/agents-mcp.md): Deploy agents as MCP servers using Agent.launch(protocol='mcp')
- [Server: AGUI](https://docs.praison.ai/docs/deploy/servers/agui.md): Deploy agents as AG-UI protocol servers for CopilotKit integration
- [Server: PraisonAI MCP](https://docs.praison.ai/docs/deploy/servers/praisonai-mcp.md): Deploy full PraisonAI capabilities as MCP server using praisonai mcp serve
- [Server: Recipes MCP](https://docs.praison.ai/docs/deploy/servers/recipes-mcp.md): Deploy recipes as MCP servers using praisonai mcp serve-recipe
- [Server: Tools MCP](https://docs.praison.ai/docs/deploy/servers/tools-mcp.md): Deploy Python tools as MCP servers for Claude Desktop, Cursor, and other MCP clients
- [Server: Unified](https://docs.praison.ai/docs/deploy/servers/unified.md): Deploy a unified server with all PraisonAI providers
- [Agents Playbook](https://docs.praison.ai/docs/developers/agents-playbook.md): Examples and templates for creating PraisonAI agent playbooks, from simple to detailed configurations with multiple roles and tasks
- [Benchmarks](https://docs.praison.ai/docs/developers/benchmarks.md): Performance benchmarks comparing PraisonAI Agents with other frameworks
- [Development Setup](https://docs.praison.ai/docs/developers/development-setup.md): Set up a PraisonAI development environment with uv
- [Google Colab Integration](https://docs.praison.ai/docs/developers/googlecolab.md): Guide for using PraisonAI in Google Colab environments, with example code and configurations for agent-based tasks
- [Google Colab Tools](https://docs.praison.ai/docs/developers/googlecolab-tools.md): Guide for implementing and using custom tools in PraisonAI with Google Colab, including examples of internet search and data processing tools
- [Local Development](https://docs.praison.ai/docs/developers/local-development.md): Set up local development environment with Docker and live reload
- [Complete Reference](https://docs.praison.ai/docs/developers/reference-home.md): Comprehensive reference documentation for PraisonAI including all features, diagrams, and examples.
- [Test](https://docs.praison.ai/docs/developers/test.md): Instructions for running and writing tests for PraisonAI components, including unit tests and test automation
- [PraisonAI Package Integration](https://docs.praison.ai/docs/developers/wrapper.md): Guide for integrating the PraisonAI package into your Python projects, including YAML configuration and different execution modes
- [Integrate with Tools](https://docs.praison.ai/docs/developers/wrapper-tools.md): Guide for integrating external tools and APIs with PraisonAI, including examples of custom tool creation and implementation
- [Embedding Providers](https://docs.praison.ai/docs/embeddings/index.md): Generate text embeddings using 35+ providers through PraisonAI
- [Azure OpenAI Embeddings](https://docs.praison.ai/docs/embeddings/providers/azure.md): Generate embeddings using Azure OpenAI Service
- [Azure AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/azure-ai.md): Generate embeddings using Azure AI Studio models
- [AWS Bedrock Embeddings](https://docs.praison.ai/docs/embeddings/providers/bedrock.md): Generate embeddings using Amazon Bedrock
- [Cohere Embeddings](https://docs.praison.ai/docs/embeddings/providers/cohere.md): Generate embeddings using Cohere's embed models
- [Databricks Embeddings](https://docs.praison.ai/docs/embeddings/providers/databricks.md): Generate embeddings using Databricks Foundation Models
- [Fireworks AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/fireworks-ai.md): Generate embeddings using Fireworks AI's fast inference
- [Google Gemini Embeddings](https://docs.praison.ai/docs/embeddings/providers/gemini.md): Generate embeddings using Google Gemini API
- [HuggingFace Embeddings](https://docs.praison.ai/docs/embeddings/providers/huggingface.md): Generate embeddings using HuggingFace Inference API
- [Infinity Embeddings](https://docs.praison.ai/docs/embeddings/providers/infinity.md): Generate embeddings using self-hosted Infinity server
- [Jina AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/jina-ai.md): Generate embeddings using Jina AI's embedding models
- [LM Studio Embeddings](https://docs.praison.ai/docs/embeddings/providers/lm-studio.md): Generate embeddings using locally-hosted LM Studio
- [Mistral Embeddings](https://docs.praison.ai/docs/embeddings/providers/mistral.md): Generate embeddings using Mistral AI's embedding model
- [Nebius Embeddings](https://docs.praison.ai/docs/embeddings/providers/nebius.md): Generate embeddings using Nebius AI Studio
- [NVIDIA NIM Embeddings](https://docs.praison.ai/docs/embeddings/providers/nvidia-nim.md): Generate embeddings using NVIDIA NIM inference microservices
- [Ollama Embeddings](https://docs.praison.ai/docs/embeddings/providers/ollama.md): Generate embeddings using locally-hosted Ollama models
- [OpenAI Embeddings](https://docs.praison.ai/docs/embeddings/providers/openai.md): Generate embeddings using OpenAI's text-embedding models
- [OVHcloud Embeddings](https://docs.praison.ai/docs/embeddings/providers/ovhcloud.md): Generate embeddings using OVHcloud AI Endpoints
- [SambaNova Embeddings](https://docs.praison.ai/docs/embeddings/providers/sambanova.md): Generate embeddings using SambaNova's fast inference
- [Snowflake Embeddings](https://docs.praison.ai/docs/embeddings/providers/snowflake.md): Generate embeddings using Snowflake Arctic Embed models
- [Together AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/together-ai.md): Generate embeddings using Together AI's hosted models
- [Google Vertex AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/vertex-ai.md): Generate embeddings using Google Cloud Vertex AI
- [vLLM Embeddings](https://docs.praison.ai/docs/embeddings/providers/vllm.md): Generate embeddings using self-hosted vLLM server
- [Volcengine Embeddings](https://docs.praison.ai/docs/embeddings/providers/volcengine.md): Generate embeddings using ByteDance Volcengine
- [Voyage AI Embeddings](https://docs.praison.ai/docs/embeddings/providers/voyage.md): Generate embeddings using Voyage AI's specialized models
- [IBM Watsonx Embeddings](https://docs.praison.ai/docs/embeddings/providers/watsonx.md): Generate embeddings using IBM Watsonx.ai
- [Evaluation Loop](https://docs.praison.ai/docs/eval/evaluation-loop.md): Iterative improvement loop that runs agent → judges → improves until quality threshold met
- [Judge](https://docs.praison.ai/docs/eval/judge.md): Unified LLM-as-judge for evaluating agent outputs
- [Recipe Judge](https://docs.praison.ai/docs/eval/recipe-judge.md): Evaluate recipe and workflow execution traces using LLM-as-judge
- [Adaptive Learning](https://docs.praison.ai/docs/examples/adaptive-learning.md): Personalized education with skill assessment, content generation, and progress tracking
- [Agent Recipes CLI](https://docs.praison.ai/docs/examples/agent-recipes/cli.md): Complete CLI reference for Agent Recipes
- [AI A/B Hook Tester](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-ab-hook-tester.md): Generate A/B test variants for hooks with tracking plan
- [AI Angle Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-angle-generator.md): Generate content angles - controversial, educational, business
- [AI Brief Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-brief-generator.md): Generate daily/weekly AI news briefs and newsletters
- [AI B-roll Builder](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-broll-builder.md): Build B-roll from screenshots with Ken Burns effects
- [AI Comment Miner](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-comment-miner.md): Mine comments for content ideas and audience insights
- [AI Content Calendar](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-content-calendar.md): Generate content calendars with what/when/where scheduling
- [AI Context Enricher](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-context-enricher.md): Enrich articles with background, prior art, and hype detection
- [AI CTA Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-cta-generator.md): Generate platform-specific CTAs and titles
- [AI Daily News Show](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-daily-news-show.md): End-to-end pipeline for daily AI news show production
- [AI Fact Checker](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-fact-checker.md): Fact-check content with citations and claim flags
- [AI Hashtag Optimizer](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-hashtag-optimizer.md): Optimize hashtags and keywords for maximum reach
- [AI Hook Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-hook-generator.md): Generate attention-grabbing hooks with multiple variants
- [AI News Capture Pack](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-news-capture-pack.md): Bundle screenshots and assets per news story
- [AI News Crawler](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-news-crawler.md): Crawl AI news from HackerNews, Reddit, arXiv, and GitHub trending
- [AI News Deduper](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-news-deduper.md): Deduplicate and cluster news articles by topic
- [AI Performance Analyzer](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-performance-analyzer.md): Analyze content performance metrics from platform exports
- [AI Post Copy Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-post-copy-generator.md): Generate platform-specific post copy for social media
- [AI Publisher Pack](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-publisher-pack.md): Generate cross-platform publisher packs with ready-to-upload files
- [AI Screen Recorder](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-screen-recorder.md): Record screen navigation with configurable FPS
- [AI Screenshot Capture](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-screenshot-capture.md): Capture high-resolution screenshots with highlighting
- [AI Script Writer](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-script-writer.md): Multi-format script writer for YouTube, X threads, LinkedIn
- [AI Signal Ranker](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-signal-ranker.md): Rank news by novelty, velocity, and relevance signals
- [AI Video Merger](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-video-merger.md): Merge voice audio with video and sync tracks
- [AI Voiceover Generator](https://docs.praison.ai/docs/examples/agent-recipes/creator-suite/ai-voiceover-generator.md): Generate voice overs using TTS APIs
- [Chart Generator](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-chart-generator.md): Generate charts and visualizations
- [Data Anonymizer](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-data-anonymizer.md): Anonymize PII in datasets
- [Duplicate Finder](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-duplicate-finder.md): Find and deduplicate similar files
- [ETL Pipeline](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-etl-pipeline.md): Transform data between formats
- [Excel Formula Generator](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-excel-formula-generator.md): Generate Excel formulas from descriptions
- [Log Analyzer](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-log-analyzer.md): Analyze logs for anomalies and patterns
- [Report Generator](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-report-generator.md): Generate business reports from data
- [Sentiment Analyzer](https://docs.praison.ai/docs/examples/agent-recipes/data/ai-sentiment-analyzer.md): Analyze sentiment in text data
- [API Doc Generator](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-api-doc-generator.md): Generate OpenAPI/Swagger docs from code
- [API Tester](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-api-tester.md): Auto-generate and run API endpoint tests
- [Code Refactorer](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-code-refactorer.md): Refactor code with AI suggestions
- [Code Reviewer](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-code-reviewer.md): Automated code review with suggestions
- [Commit Message Generator](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-commit-message-generator.md): Generate git commit messages from diffs
- [Regex Generator](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-regex-generator.md): Generate regex patterns from descriptions
- [SQL Generator](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-sql-generator.md): Natural language to SQL queries
- [Test Generator](https://docs.praison.ai/docs/examples/agent-recipes/developer/ai-test-generator.md): Generate unit and integration tests
- [Contract Analyzer](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-contract-analyzer.md): Extract key terms and obligations from contracts
- [Ebook Converter](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-ebook-converter.md): Convert documents to EPUB/MOBI formats
- [FAQ Generator](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-faq-generator.md): Generate FAQ from documentation
- [Form Filler](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-form-filler.md): Auto-fill PDF forms from data sources
- [Invoice Processor](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-invoice-processor.md): Extract data from invoices and receipts
- [Meeting Summarizer](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-meeting-summarizer.md): Summarize meeting transcripts with action items
- [Resume Parser](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-resume-parser.md): Parse CVs/resumes into structured JSON
- [Slide Generator](https://docs.praison.ai/docs/examples/agent-recipes/documents/ai-slide-generator.md): Generate presentation slides from text
- [API Doc Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-api-doc-generator.md): Example usage of ai-api-doc-generator
- [API Tester Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-api-tester.md): Example usage of ai-api-tester
- [Audio Enhancer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-audio-enhancer.md): Example usage of ai-audio-enhancer
- [Background Music Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-background-music-generator.md): Example usage of ai-background-music-generator
- [Background Remover Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-background-remover.md): Example usage of ai-background-remover
- [Barcode Scanner Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-barcode-scanner.md): Example usage of ai-barcode-scanner
- [Blog Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-blog-generator.md): Example usage of ai-blog-generator
- [Calendar Scheduler Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-calendar-scheduler.md): Example usage of ai-calendar-scheduler
- [Chart Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-chart-generator.md): Example usage of ai-chart-generator
- [Code Refactorer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-code-refactorer.md): Example usage of ai-code-refactorer
- [Code Reviewer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-code-reviewer.md): Example usage of ai-code-reviewer
- [Color Palette Extractor Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-color-palette-extractor.md): Example usage of ai-color-palette-extractor
- [Commit Message Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-commit-message-generator.md): Example usage of ai-commit-message-generator
- [Contract Analyzer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-contract-analyzer.md): Example usage of ai-contract-analyzer
- [Data Anonymizer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-data-anonymizer.md): Example usage of ai-data-anonymizer
- [Duplicate Finder Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-duplicate-finder.md): Example usage of ai-duplicate-finder
- [Ebook Converter Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-ebook-converter.md): Example usage of ai-ebook-converter
- [Email Parser Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-email-parser.md): Example usage of ai-email-parser
- [ETL Pipeline Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-etl-pipeline.md): Example usage of ai-etl-pipeline
- [Excel Formula Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-excel-formula-generator.md): Example usage of ai-excel-formula-generator
- [Face Blur Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-face-blur.md): Example usage of ai-face-blur
- [FAQ Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-faq-generator.md): Example usage of ai-faq-generator
- [File Organizer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-file-organizer.md): Example usage of ai-file-organizer
- [Form Filler Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-form-filler.md): Example usage of ai-form-filler
- [Image Captioner Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-image-captioner.md): Example usage of ai-image-captioner
- [Image Tagger Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-image-tagger.md): Example usage of ai-image-tagger
- [Image Upscaler Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-image-upscaler.md): Example usage of ai-image-upscaler
- [Invoice Processor Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-invoice-processor.md): Example usage of ai-invoice-processor
- [Log Analyzer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-log-analyzer.md): Example usage of ai-log-analyzer
- [Meeting Summarizer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-meeting-summarizer.md): Example usage of ai-meeting-summarizer
- [Meta Tag Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-meta-tag-generator.md): Example usage of ai-meta-tag-generator
- [Newsletter Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-newsletter-generator.md): Example usage of ai-newsletter-generator
- [Note Summarizer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-note-summarizer.md): Example usage of ai-note-summarizer
- [Podcast Transcriber Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-podcast-transcriber.md): Example usage of ai-podcast-transcriber
- [Product Description Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-product-description-generator.md): Example usage of ai-product-description-generator
- [QR Code Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-qr-code-generator.md): Example usage of ai-qr-code-generator
- [Regex Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-regex-generator.md): Example usage of ai-regex-generator
- [Report Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-report-generator.md): Example usage of ai-report-generator
- [Resume Parser Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-resume-parser.md): Example usage of ai-resume-parser
- [RSS Aggregator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-rss-aggregator.md): Example usage of ai-rss-aggregator
- [Sentiment Analyzer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-sentiment-analyzer.md): Example usage of ai-sentiment-analyzer
- [SEO Optimizer Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-seo-optimizer.md): Example usage of ai-seo-optimizer
- [Sitemap Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-sitemap-generator.md): Example usage of ai-sitemap-generator
- [Slide Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-slide-generator.md): Example usage of ai-slide-generator
- [Social Media Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-social-media-generator.md): Example usage of ai-social-media-generator
- [SQL Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-sql-generator.md): Example usage of ai-sql-generator
- [Subtitle Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-subtitle-generator.md): Example usage of ai-subtitle-generator
- [Test Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-test-generator.md): Example usage of ai-test-generator
- [Translation Batch Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-translation-batch.md): Example usage of ai-translation-batch
- [Video Chapter Generator Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-video-chapter-generator.md): Example usage of ai-video-chapter-generator
- [Video Compressor Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-video-compressor.md): Example usage of ai-video-compressor
- [Video Highlight Extractor Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-video-highlight-extractor.md): Example usage of ai-video-highlight-extractor
- [Voice Cloner Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-voice-cloner.md): Example usage of ai-voice-cloner
- [Watermark Adder Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-watermark-adder.md): Example usage of ai-watermark-adder
- [Watermark Remover Example](https://docs.praison.ai/docs/examples/agent-recipes/examples/ai-watermark-remover.md): Example usage of ai-watermark-remover
- [Background Remover](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-background-remover.md): Batch remove backgrounds from images
- [Color Palette Extractor](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-color-palette-extractor.md): Extract dominant colors from images
- [Face Blur](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-face-blur.md): Detect and blur faces for privacy
- [Image Captioner](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-image-captioner.md): Generate alt-text and captions for images
- [Image Tagger](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-image-tagger.md): Auto-tag images with keywords and categories
- [Image Upscaler](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-image-upscaler.md): AI upscale images 2x-8x with quality preservation
- [Watermark Adder](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-watermark-adder.md): Batch add watermarks and logos to images
- [Watermark Remover](https://docs.praison.ai/docs/examples/agent-recipes/images/ai-watermark-remover.md): Remove watermarks from images
- [AI Tools](https://docs.praison.ai/docs/examples/agent-recipes/index.md): 55 production-ready AI tools for automation, content processing, and development
- [Agent Recipes Integration](https://docs.praison.ai/docs/examples/agent-recipes/integration.md): Integrate Agent Recipes into your Python applications
- [Barcode Scanner](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-barcode-scanner.md): Extract data from barcodes and QR codes
- [Calendar Scheduler](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-calendar-scheduler.md): Parse and schedule events from text
- [Email Parser](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-email-parser.md): Extract structured data from emails
- [File Organizer](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-file-organizer.md): Auto-organize files into folders
- [Note Summarizer](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-note-summarizer.md): Summarize notes and documents
- [QR Code Generator](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-qr-code-generator.md): Generate QR codes from data
- [Translation Batch](https://docs.praison.ai/docs/examples/agent-recipes/productivity/ai-translation-batch.md): Batch translate documents
- [Agent Recipes Server](https://docs.praison.ai/docs/examples/agent-recipes/server.md): Deploy Agent Recipes as HTTP/API services
- [Agent Recipes Troubleshooting](https://docs.praison.ai/docs/examples/agent-recipes/troubleshooting.md): Diagnose and fix common Agent Recipes issues
- [Audio Enhancer](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-audio-enhancer.md): Noise removal, EQ, loudness normalization
- [Background Music Generator](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-background-music-generator.md): Generate royalty-free background music
- [Podcast Transcriber](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-podcast-transcriber.md): Full podcast transcription with speaker diarization
- [AI Subtitle Generator](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-subtitle-generator.md): Generate SRT/VTT subtitles from audio and video files in 60+ languages
- [Video Chapter Generator](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-video-chapter-generator.md): Generate timestamped chapters for YouTube videos
- [Video Compressor](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-video-compressor.md): AI-optimized video compression maintaining quality
- [Video Highlight Extractor](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-video-highlight-extractor.md): Extract key moments and highlights from videos
- [Voice Cloner](https://docs.praison.ai/docs/examples/agent-recipes/video-audio/ai-voice-cloner.md): Clone voice from sample for TTS narration
- [Blog Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-blog-generator.md): Generate SEO-optimized blog posts
- [Meta Tag Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-meta-tag-generator.md): Generate SEO meta tags for pages
- [Newsletter Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-newsletter-generator.md): Generate email newsletters from content
- [Product Description Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-product-description-generator.md): Generate e-commerce descriptions
- [RSS Aggregator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-rss-aggregator.md): Aggregate and summarize RSS feeds
- [SEO Optimizer](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-seo-optimizer.md): Optimize content for search engines
- [Sitemap Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-sitemap-generator.md): Generate XML sitemaps from URLs
- [Social Media Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-social-media-generator.md): Generate social media posts
- [AI WordPress Post Generator](https://docs.praison.ai/docs/examples/agent-recipes/web-content/ai-wordpress-post-generator.md): Automated AI news research and WordPress publishing pipeline
- [Climate Impact](https://docs.praison.ai/docs/examples/climate-impact.md): Environmental monitoring with impact prediction, adaptation strategies, and sustainability planning
- [Code Analysis Agent](https://docs.praison.ai/docs/examples/code-analysis.md): Automated code review with structured output, persistence, and API deployment
- [Code Review](https://docs.praison.ai/docs/examples/code-review.md): Automated PR review with issue detection, fix suggestions, and persistence
- [Crypto Validator](https://docs.praison.ai/docs/examples/crypto-validator.md): Post-quantum cryptography validation with attack simulation and compliance checking
- [Customer Service](https://docs.praison.ai/docs/examples/customer-service.md): Multi-agent support system with routing, knowledge base, and ticket persistence
- [DeFi Market Maker](https://docs.praison.ai/docs/examples/defi-market-maker.md): Liquidity pool analysis with arbitrage detection, risk assessment, and trade execution
- [Emergency Response](https://docs.praison.ai/docs/examples/emergency-response.md): Incident routing with severity assessment, resource dispatch, and real-time monitoring
- [Examples](https://docs.praison.ai/docs/examples/examples.md): Explore real-world examples and use cases built with PraisonAI Agents.
- [Fraud Detection](https://docs.praison.ai/docs/examples/fraud-detection.md): Real-time transaction monitoring with pattern detection, alerts, and persistence
- [Hackathon Judge](https://docs.praison.ai/docs/examples/hackathon-judge.md): Project evaluation with multi-criteria scoring, feedback generation, and ranking
- [Healthcare Diagnosis](https://docs.praison.ai/docs/examples/healthcare-diagnosis.md): Medical triage with symptom analysis, lab processing, and treatment recommendations
- [Medicine Protocol](https://docs.praison.ai/docs/examples/medicine-protocol.md): Personalized treatment with genetic analysis, drug interactions, and protocol generation
- [Multilingual Content](https://docs.praison.ai/docs/examples/multilingual-content.md): Content translation with cultural adaptation, quality checks, and localization
- [Neural Architecture](https://docs.praison.ai/docs/examples/neural-architecture.md): AutoML with architecture search, hyperparameter tuning, and deployment optimization
- [Predictive Maintenance](https://docs.praison.ai/docs/examples/predictive-maintenance.md): IoT sensor monitoring with anomaly detection, failure prediction, and maintenance scheduling
- [Quantum Optimiser](https://docs.praison.ai/docs/examples/quantum-optimiser.md): Quantum circuit optimization with gate reduction, depth minimization, and fidelity analysis
- [Customer Support Reply Drafter](https://docs.praison.ai/docs/examples/recipe-examples/customer-support-reply-drafter.md): Draft professional support replies with configurable tone and confidence scoring
- [Document Summarizer with Citations](https://docs.praison.ai/docs/examples/recipe-examples/document-summarizer-with-citations.md): Summarize documents with proper citations and key point extraction
- [Recipe Examples](https://docs.praison.ai/docs/examples/recipe-examples/index.md): 10 beginner-friendly, real-world recipe creation examples with step-by-step guides
- [Meeting Minutes Action Items](https://docs.praison.ai/docs/examples/recipe-examples/meeting-minutes-action-items.md): Extract action items and generate structured meeting minutes from transcripts
- [Multilingual Subtitle Translator](https://docs.praison.ai/docs/examples/recipe-examples/multilingual-subtitle-translator.md): Translate subtitle files while preserving timestamps and formatting
- [Podcast Transcription Cleaner](https://docs.praison.ai/docs/examples/recipe-examples/podcast-transcription-cleaner.md): Transcribe audio with speaker labels and intelligent cleanup for podcast content
- [Product Photo Alt Text Writer](https://docs.praison.ai/docs/examples/recipe-examples/product-photo-alt-text-writer.md): Generate accessible alt text and tags for product images
- [Video Highlights Reel Planner](https://docs.praison.ai/docs/examples/recipe-examples/simple-video-highlights-reel-planner.md): Plan video highlight clips from transcripts without heavy video editing
- [Video Caption Generator](https://docs.praison.ai/docs/examples/recipe-examples/video-caption-generator.md): Generate captions from video files with language detection and multiple output formats
- [Voice-to-Voice Translator Lite](https://docs.praison.ai/docs/examples/recipe-examples/voice-to-voice-translator-lite.md): Translate spoken audio to another language with optional TTS output
- [YouTube Chapter Generator](https://docs.praison.ai/docs/examples/recipe-examples/youtube-chapter-generator.md): Generate YouTube chapters from transcripts with timestamps and descriptions
- [Research Assistant](https://docs.praison.ai/docs/examples/research-assistant.md): Multi-agent research workflow with web search, persistence, and API deployment
- [Smart City](https://docs.praison.ai/docs/examples/smart-city.md): IoT monitoring with utility optimization, traffic management, and resource allocation
- [Space Mission](https://docs.praison.ai/docs/examples/space-mission.md): Mission planning with resource optimization, trajectory analysis, and contingency planning
- [Supply Chain](https://docs.praison.ai/docs/examples/supply-chain.md): Global event monitoring with risk analysis, mitigation strategies, and persistence
- [Vulnerability Detection](https://docs.praison.ai/docs/examples/vulnerability-detection.md): Security scanning with pattern detection, CVSS scoring, and remediation recommendations
- [A2A Protocol](https://docs.praison.ai/docs/features/a2a.md): Agent2Agent Protocol for inter-agent communication with JSON-RPC 2.0
- [A2A Client](https://docs.praison.ai/docs/features/a2a-client.md): Async Python client for communicating with A2A-compliant servers
- [A2A Push Notifications & Async Processing](https://docs.praison.ai/docs/features/a2a-push-notifications.md): Enable non-blocking agent interactions and webhook-based task update delivery
- [A2A Security](https://docs.praison.ai/docs/features/a2a-security.md): Secure A2A endpoints with authentication, authorization, and access control
- [A2A Task Management](https://docs.praison.ai/docs/features/a2a-tasks.md): Manage A2A task lifecycle, store, and JSON-RPC methods for listing, getting, and cancelling tasks
- [A2UI Protocol](https://docs.praison.ai/docs/features/a2ui.md): Agent-to-User Interface protocol for agent-generated UIs
- [Activity Log](https://docs.praison.ai/docs/features/activity-log.md): Track and audit all workspace and issue activities with automated logging
- [Advanced Features Module](https://docs.praison.ai/docs/features/advanced-features.md): Production-ready advanced features for PraisonAI including auto-summarization, message queuing, safe execution, and more
- [Agent API Launch](https://docs.praison.ai/docs/features/agent-api-launch.md): Deploy AI agents as HTTP APIs or MCP servers for integration with external applications.
- [Agent Profiles Module](https://docs.praison.ai/docs/features/agent-profiles.md): Built-in agent profiles and mode configurations
- [Agent Server Module](https://docs.praison.ai/docs/features/agent-server.md): HTTP server with SSE event streaming for real-time agent communication
- [Human Approval System](https://docs.praison.ai/docs/features/approval.md): Implement human-in-the-loop approval for dangerous operations
- [Assign Work to AI Agents](https://docs.praison.ai/docs/features/assign-agents.md): Register agents, assign them to issues, and track their work like managing a human team
- [Async Agents](https://docs.praison.ai/docs/features/async.md): Async AI Agents allow you to run AI tasks asynchronously, improving performance and efficiency in your applications.
- [Async Jobs](https://docs.praison.ai/docs/features/async-jobs.md): Submit and manage long-running agent jobs and recipes via HTTP API
- [AutoAgents](https://docs.praison.ai/docs/features/autoagents.md): AutoAgents automatically creates and manages AI agents and tasks based on high-level instructions.
- [Agentic Autonomous Workflow](https://docs.praison.ai/docs/features/autonomous-workflow.md): Learn how to create AI agents that can autonomously monitor, act, and adapt based on environment feedback.
- [Autonomous Loops](https://docs.praison.ai/docs/features/autonomy-loop.md): Run agents in self-referential execution loops with completion signals
- [Background Tasks](https://docs.praison.ai/docs/features/background-tasks.md): Run agent tasks and recipes asynchronously in the background
- [Bot Chat Commands](https://docs.praison.ai/docs/features/bot-commands.md): Built-in and custom chat commands for Telegram, Discord, Slack, and WhatsApp bots.
- [Bot Gateway](https://docs.praison.ai/docs/features/bot-gateway.md): Run multiple bots (Telegram, Discord, Slack) from a single gateway server with multi-agent routing.
- [Bot Message Routing](https://docs.praison.ai/docs/features/bot-routing.md): Route messages from different chat contexts (DMs, groups, channels) to specific AI agents.
- [BotOS](https://docs.praison.ai/docs/features/botos.md): Run AI agents across Telegram, Discord, Slack, WhatsApp — and custom platforms — with a single orchestrator.
- [Browser Agent Module](https://docs.praison.ai/docs/features/browser-agent.md): AI-powered browser automation using Chrome Extension and PraisonAI agents
- [Browser Agent Deep Dive](https://docs.praison.ai/docs/features/browser-agent-deep-dive.md): Comprehensive guide to browser automation modes, APIs, and integration patterns
- [AI Agents with Callbacks](https://docs.praison.ai/docs/features/callbacks.md): Learn how to implement callbacks to monitor and log AI agent interactions, errors, and task completions.
- [Camera Integration](https://docs.praison.ai/docs/features/camera-integration.md): How to integrate camera feeds with PraisonAI multimodal agents for real-time visual analysis
- [PraisonAI Chat](https://docs.praison.ai/docs/features/chat.md): Modern AI Agent Chat Interface for PraisonAI
- [Checkpoints](https://docs.praison.ai/docs/features/checkpoints.md): File-level undo/restore capabilities using shadow git
- [Command Line Interface](https://docs.praison.ai/docs/features/cli.md): Use PraisonAI directly from your terminal with simple commands
- [Cloud-Native Serverless Databases](https://docs.praison.ai/docs/features/cloud-databases.md): Scale-to-zero database persistence with Neon, Supabase, Turso, CockroachDB, and Xata
- [CockroachDB Serverless](https://docs.praison.ai/docs/features/cockroachdb.md): Distributed SQL database with automatic scaling and global consistency
- [AI Code Editing](https://docs.praison.ai/docs/features/code.md): AI-powered code editing tools for agents to read, write, and modify code files with precision using SEARCH/REPLACE diffs
- [Code Execution AI Agent](https://docs.praison.ai/docs/features/codeagent.md): Learn how to create AI agents that can write and execute Python code safely using e2b code interpreter.
- [Conditional Branching](https://docs.praison.ai/docs/features/conditional-branching.md): Dynamic workflow paths with if/then/else patterns
- [Conditional Execution](https://docs.praison.ai/docs/features/conditions.md): Unified condition syntax for controlling task and workflow execution
- [Configurable Model](https://docs.praison.ai/docs/features/configurable-model.md): Runtime model switching without agent recreation
- [Context Management API](https://docs.praison.ai/docs/features/context-api.md): CLI commands, flags, and configuration for context management
- [Context Budgeter](https://docs.praison.ai/docs/features/context-budgeter.md): Model-aware token budget allocation for context management
- [Context Budgeter CLI](https://docs.praison.ai/docs/features/context-budgeter-cli.md): CLI reference for context budget configuration
- [Context Management CLI Reference](https://docs.praison.ai/docs/features/context-cli-reference.md): Complete CLI reference for context management commands and flags
- [Context Compaction](https://docs.praison.ai/docs/features/context-compaction.md): Automatic context window management for long conversations
- [Token Estimation Validation](https://docs.praison.ai/docs/features/context-estimation-validation.md): Validate token estimates and track estimation accuracy
- [Context Ledger](https://docs.praison.ai/docs/features/context-ledger.md): Per-segment token accounting for context management
- [Context Management](https://docs.praison.ai/docs/features/context-management.md): Best-in-class context management with auto-compaction, session tracking, and multi-memory aggregation
- [Context Manager Module](https://docs.praison.ai/docs/features/context-manager-module.md): Unified facade for context management in PraisonAI
- [Context Monitor](https://docs.praison.ai/docs/features/context-monitor.md): Real-time context snapshots for debugging and optimization
- [Context Monitor CLI](https://docs.praison.ai/docs/features/context-monitor-cli.md): CLI reference for context monitoring configuration
- [Multi-Agent Context Policies](https://docs.praison.ai/docs/features/context-multi-agent-policies.md): Context isolation and sharing policies for multi-agent orchestration
- [Context Observability & History](https://docs.praison.ai/docs/features/context-observability.md): Track optimization events and debug context management
- [Context Optimizer](https://docs.praison.ai/docs/features/context-optimizer.md): Strategies for reducing context size when approaching model limits
- [Context Optimizer CLI](https://docs.praison.ai/docs/features/context-optimizer-cli.md): CLI reference for context optimization strategies and configuration
- [Per-Tool Token Budgets](https://docs.praison.ai/docs/features/context-per-tool-budgets.md): Configure token limits per tool for fine-grained output control
- [Security & Redaction](https://docs.praison.ai/docs/features/context-security-redaction.md): Privacy hardening for context snapshots and monitoring
- [Context Snapshot Hooks](https://docs.praison.ai/docs/features/context-snapshot-hooks.md): Capture exact LLM call boundary state for debugging and verification
- [Context Strategies & Defaults](https://docs.praison.ai/docs/features/context-strategies.md): Complete guide to context management strategies, defaults, and customization
- [Token Estimation](https://docs.praison.ai/docs/features/context-token-estimation.md): Fast offline token counting for context management
- [Token Estimation CLI](https://docs.praison.ai/docs/features/context-token-estimation-cli.md): CLI reference for token estimation configuration
- [Context Window Management](https://docs.praison.ai/docs/features/context-window-management.md): Automatic token limit handling, context optimization, and intelligent truncation for efficient LLM usage.
- [Custom Actions](https://docs.praison.ai/docs/features/custom-actions.md): Extend job workflows with reusable YAML-defined, file-based, and built-in actions
- [Database Persistence](https://docs.praison.ai/docs/features/database-persistence.md): Enable automatic conversation persistence in 2 lines of code
- [Display Callbacks](https://docs.praison.ai/docs/features/display-callbacks.md): Comprehensive callback system for UI customization, real-time updates, and interactive agent displays.
- [Display System](https://docs.praison.ai/docs/features/display-system.md): Advanced display callbacks and custom output formatting for PraisonAI Agents
- [Loop Detection](https://docs.praison.ai/docs/features/doom-loop-detection.md): Detect and break stuck tool-call loops automatically
- [Dynamic Context Discovery](https://docs.praison.ai/docs/features/dynamic-context-discovery.md): Artifact-based storage for large tool outputs
- [Dynamic Judge Architecture](https://docs.praison.ai/docs/features/dynamic-judge.md): Domain-agnostic evaluation system for optimizing any workflow
- [Dynamic Variables](https://docs.praison.ai/docs/features/dynamic-variables.md): Use {{today}}, {{now}}, {{uuid}} and other dynamic variables in prompts and workflows
- [Email Bot](https://docs.praison.ai/docs/features/email-bot.md): Deploy AI agents to handle email via IMAP/SMTP or the zero-config AgentMail API with event-driven modes
- [Endpoints (Python)](https://docs.praison.ai/docs/features/endpoints-code.md): Programmatic access to PraisonAI endpoints using Python
- [Agent Autonomy](https://docs.praison.ai/docs/features/escalation-pipeline.md): Agent-centric progressive escalation from direct response to autonomous mode
- [Agentic Evaluator Optimizer](https://docs.praison.ai/docs/features/evaluator-optimiser.md): Learn how to create AI agents that can generate and optimize solutions through iterative feedback.
- [Event Bus Module](https://docs.praison.ai/docs/features/event-bus.md): Typed event system for PraisonAI Agents with sync/async subscribers
- [Execution & Extension Systems](https://docs.praison.ai/docs/features/execution-systems.md): Complete comparison of PraisonAI's 9 systems: Job Workflows, Agent Workflows, Hybrid Workflows, Recipes, Slash Commands, Tools, Skills, Plugins, and Hooks
- [External CLI Integrations](https://docs.praison.ai/docs/features/external-cli-integrations.md): Integrate external AI CLI tools like Claude Code, Gemini CLI, and Codex CLI with PraisonAI agents
- [Fast Context](https://docs.praison.ai/docs/features/fast-context.md): Rapid parallel code search for AI agents - 10-20x faster than traditional methods
- [File Snapshot Module](https://docs.praison.ai/docs/features/file-snapshot.md): Shadow git repository for file change tracking and restoration
- [Gateway](https://docs.praison.ai/docs/features/gateway.md): WebSocket control plane for multi-agent coordination and real-time communication
- [Generate Synthetic Reasoning Data Agents](https://docs.praison.ai/docs/features/generate-reasoning.md): Learn how to generate chain-of-thought reasoning data using PraisonAI Agents.
- [Guardrails](https://docs.praison.ai/docs/features/guardrails.md): Output validation and quality assurance for tasks
- [Agent Handoffs](https://docs.praison.ai/docs/features/handoffs.md): Learn how to implement agent-to-agent task delegation in PraisonAI
- [Heartbeat](https://docs.praison.ai/docs/features/heartbeat.md): Run agents on a schedule and deliver results via callbacks
- [Hook Events](https://docs.praison.ai/docs/features/hook-events.md): Complete reference for all available hook events
- [Hooks](https://docs.praison.ai/docs/features/hooks.md): Intercept and modify agent behavior at various lifecycle points
- [Hybrid Workflows](https://docs.praison.ai/docs/features/hybrid-workflows.md): Combine deterministic steps, AI agent steps, and multi-agent workflows in a single pipeline
- [Image Generation AI Agents](https://docs.praison.ai/docs/features/image-generation.md): Generate high-quality images using PraisonAI Image Agents with both synchronous and asynchronous capabilities.
- [Features Overview](https://docs.praison.ai/docs/features/index.md): Comprehensive guide to all PraisonAI features, from basic agent capabilities to advanced system optimizations.
- [Injected Tool State](https://docs.praison.ai/docs/features/injected-state.md): Inject agent state into tools without exposing in schema
- [Job Workflows](https://docs.praison.ai/docs/features/job-workflows.md): Deterministic workflow execution with optional AI agent steps — shell commands, Python scripts, custom actions, and agent-centric steps in a single YAML file
- [LangChain Agents](https://docs.praison.ai/docs/features/langchain.md): Learn how to use LangChain tools and utilities with PraisonAI agents.
- [Lazy Imports & Fast Startup](https://docs.praison.ai/docs/features/lazy-imports.md): Optimize import time and memory usage with lazy loading
- [Lite Package (BYO-LLM)](https://docs.praison.ai/docs/features/lite-package.md): Lightweight agent framework without heavy dependencies
- [LLM-as-Judge](https://docs.praison.ai/docs/features/llm-as-judge.md): Evaluate agent outputs using LLM-based quality assessment
- [ManagedAgent + Database Persistence](https://docs.praison.ai/docs/features/managed-agent-persistence.md): Run agents on Anthropic's infrastructure while persisting session data to your database
- [Math AI Agent](https://docs.praison.ai/docs/features/mathagent.md): Learn how to create AI agents that can perform complex mathematical calculations, unit conversions, and financial computations.
- [MCP Lifecycle Management](https://docs.praison.ai/docs/features/mcp-lifecycle.md): Context manager and cleanup for MCP connections
- [Messaging Bots](https://docs.praison.ai/docs/features/messaging-bots.md): Deploy AI agents to Telegram, Discord, Slack, and WhatsApp
- [Messaging Channels Strategy](https://docs.praison.ai/docs/features/messaging-channels-strategy.md): PraisonAI messaging channel coverage, roadmap, and competitive positioning
- [Middleware System](https://docs.praison.ai/docs/features/middleware.md): Hook-based middleware for model and tool calls
- [Mini AI Agents](https://docs.praison.ai/docs/features/mini.md): Learn how to create simple yet powerful AI agents in just a few lines of code.
- [Model Capabilities](https://docs.praison.ai/docs/features/model-capabilities.md): Comprehensive model feature detection, comparison, and capability matching for optimal AI model selection.
- [Model Failover](https://docs.praison.ai/docs/features/model-failover.md): Automatic fallback between LLM providers for reliability and cost optimization
- [Model Router System](https://docs.praison.ai/docs/features/model-router.md): Intelligent LLM selection based on task requirements and model capabilities for optimal performance and cost efficiency.
- [Modular Recipes](https://docs.praison.ai/docs/features/modular-recipes.md): Compose recipes from reusable components with the include pattern
- [Multi-Agent Patterns](https://docs.praison.ai/docs/features/multi-agent-patterns.md): Choose the right pattern for agent collaboration - handoffs, workflows, teams, and programmatic control
- [Multi-Agent Media Pipelines](https://docs.praison.ai/docs/features/multi-agent-pipelines.md): Chain specialized agents together for complex media processing workflows
- [Advanced Multi-Provider Patterns](https://docs.praison.ai/docs/features/multi-provider-advanced.md): Advanced patterns for multi-provider LLM switching including fallback, load balancing, and circuit breakers
- [Multimodal Agents](https://docs.praison.ai/docs/features/multimodal.md): Guide for creating and using multimodal AI agents in PraisonAI for processing images, videos, and other media types
- [n8n API Integration](https://docs.praison.ai/docs/features/n8n-api.md): HTTP endpoints for n8n workflows to invoke PraisonAI agents
- [n8n Integration](https://docs.praison.ai/docs/features/n8n-integration.md): Bidirectional workflow automation between PraisonAI and n8n
- [n8n Tools](https://docs.praison.ai/docs/features/n8n-tools.md): Execute n8n workflows from PraisonAI agents
- [n8n Visual Workflow Editor](https://docs.praison.ai/docs/features/n8n-visual-editor.md): Export and edit PraisonAI workflows in n8n's visual interface
- [Neon Serverless PostgreSQL](https://docs.praison.ai/docs/features/neon.md): Scale-to-zero PostgreSQL with automatic branching and instant provisioning
- [Agentic Orchestrator Worker](https://docs.praison.ai/docs/features/orchestrator-worker.md): Learn how to create AI agents that orchestrate and distribute tasks among specialized workers.
- [Output Styles](https://docs.praison.ai/docs/features/output-styles.md): Configurable output formatting for agent responses
- [Agentic Parallelization](https://docs.praison.ai/docs/features/parallelisation.md): Learn how to create AI agents that can execute tasks in parallel for improved performance.
- [Performance Benchmarks](https://docs.praison.ai/docs/features/performance-benchmarks.md): Measure and verify performance of PraisonAI Agents
- [Permission Modes](https://docs.praison.ai/docs/features/permission-modes.md): Control agent permission behavior with predefined modes
- [Permissions Module](https://docs.praison.ai/docs/features/permissions.md): Pattern-based permission rules, persistent approvals, and doom loop detection
- [Database Persistence](https://docs.praison.ai/docs/features/persistence.md): Persist agent conversations and state across sessions with 7 supported backends
- [ClickHouse Persistence](https://docs.praison.ai/docs/features/persistence-clickhouse.md): High-performance analytics database for large-scale data processing and real-time analytics
- [JSON File Persistence](https://docs.praison.ai/docs/features/persistence-json.md): Simple file-based persistence for lightweight applications and development
- [MongoDB State Store](https://docs.praison.ai/docs/features/persistence-mongodb.md): Flexible document database for complex state, metadata, and schema-less storage
- [MySQL Persistence](https://docs.praison.ai/docs/features/persistence-mysql.md): Popular SQL database persistence with excellent tooling and ecosystem support
- [PostgreSQL Persistence](https://docs.praison.ai/docs/features/persistence-postgres.md): Production-grade SQL database persistence with advanced features and scalability
- [Redis State Store](https://docs.praison.ai/docs/features/persistence-redis.md): High-performance in-memory state storage for fast data access and caching
- [SQLite Persistence](https://docs.praison.ai/docs/features/persistence-sqlite.md): Local file database persistence for development and single-instance applications
- [Planning Mode](https://docs.praison.ai/docs/features/planning-mode.md): Research and plan before execution like Cursor, Windsurf, Claude Code, Gemini CLI, and Codex
- [Platform Client SDK Testing](https://docs.praison.ai/docs/features/platform-client-sdk-testing.md): Comprehensive integration tests for the PlatformClient SDK covering all API endpoints
- [Platform Labels](https://docs.praison.ai/docs/features/platform-labels.md): Create workspace-level labels and attach them to issues for categorization
- [Platform Python SDK](https://docs.praison.ai/docs/features/platform-python-sdk.md): Clean public API exports for easy PraisonAI Platform integration
- [Platform SDK Client](https://docs.praison.ai/docs/features/platform-sdk.md): Complete Python SDK for PraisonAI Platform API with connection pooling and full CRUD operations
- [Platform Workspace Context](https://docs.praison.ai/docs/features/platform-workspace-context.md): Provide workspace-level context and agent configuration by querying the database
- [Platform Activity Log](https://docs.praison.ai/docs/features/platform/activity-log.md): Track and audit all workspace activities with comprehensive event logging and history
- [Platform Agent Management](https://docs.praison.ai/docs/features/platform/agents.md): Register, manage, and assign AI agents within workspaces
- [Platform /me Endpoint Bugfix](https://docs.praison.ai/docs/features/platform/auth-me-endpoint-fix.md): Database lookup fix for /auth/me endpoint to return complete user data with created_at
- [Platform Authentication](https://docs.praison.ai/docs/features/platform/authentication.md): JWT-based authentication for PraisonAI Platform with register, login, and Bearer token support
- [Platform Comments & Threaded Replies](https://docs.praison.ai/docs/features/platform/comments.md): Add comments to issues, list comments, and create threaded replies using parent_id
- [Issue Dependencies](https://docs.praison.ai/docs/features/platform/dependencies.md): Create, list, and delete dependency links between issues
- [Platform Custom Exceptions](https://docs.praison.ai/docs/features/platform/exceptions.md): Domain-specific exception hierarchy for platform services
- [Human-Readable Issue IDs](https://docs.praison.ai/docs/features/platform/issue-ids.md): Automatic sequential issue identifiers for workspace organization
- [Platform Issue Tracking](https://docs.praison.ai/docs/features/platform/issues.md): Manage work items with full CRUD, status workflows, priorities, and agent assignment
- [Platform Labels](https://docs.praison.ai/docs/features/platform/labels.md): Organize and categorize issues with color-coded labels for improved project management
- [Team Members & RBAC](https://docs.praison.ai/docs/features/platform/members.md): Manage workspace members and role-based access control
- [Platform Pagination](https://docs.praison.ai/docs/features/platform/pagination.md): Efficiently retrieve large datasets using limit and offset query parameters
- [Platform Project Management](https://docs.praison.ai/docs/features/platform/projects.md): Organize issues within workspaces using projects with leads, status tracking, and statistics
- [API Route RBAC Enforcement](https://docs.praison.ai/docs/features/platform/rbac-enforcement.md): Workspace membership enforcement on all API routes with require_workspace_member dependency
- [Platform Python SDK Client](https://docs.praison.ai/docs/features/platform/sdk-client.md): Async HTTP client for agents and applications to interact with the platform API programmatically
- [Platform Workspace Management](https://docs.praison.ai/docs/features/platform/workspaces.md): Create, manage, and organize projects in multi-tenant workspace containers
- [Plugins](https://docs.praison.ai/docs/features/plugins.md): Extend agent functionality with plugins
- [Policy Engine](https://docs.praison.ai/docs/features/policy-engine.md): Policy-based execution control for agent operations
- [Profiling](https://docs.praison.ai/docs/features/profiling.md): Comprehensive performance profiling for PraisonAI agents
- [Agentic Prompt Chaining](https://docs.praison.ai/docs/features/promptchaining.md): Learn how to create AI agents with sequential prompt chaining for complex workflows.
- [Quality Checking](https://docs.praison.ai/docs/features/quality-checking.md): Automatic quality assessment and improvement for agent task outputs.
- [Rate Limiter](https://docs.praison.ai/docs/features/rate-limiter.md): Token bucket rate limiting for LLM API calls
- [Real API Key Testing](https://docs.praison.ai/docs/features/real-api-testing.md): Gated integration tests with real API keys
- [Reasoning Agents](https://docs.praison.ai/docs/features/reasoning.md): Learn how to create AI agents with advanced reasoning capabilities for complex problem-solving.
- [Reasoning Extract Agents](https://docs.praison.ai/docs/features/reasoning-extract.md): Learn how to create AI agents that can perform step-by-step reasoning and extract information
- [Recipe Registry](https://docs.praison.ai/docs/features/recipe-registry.md): Publish, pull, and manage recipes in local or remote registries
- [Recipe Serve Advanced Features](https://docs.praison.ai/docs/features/recipe-serve-advanced.md): Rate limiting, metrics, admin endpoints, workers, and OpenTelemetry
- [Recipe Serve (Python)](https://docs.praison.ai/docs/features/recipe-serve-code.md): Programmatic server configuration and management using Python
- [Recursive Context](https://docs.praison.ai/docs/features/recursive-context.md): How PraisonAI handles large context without context rot
- [Repetitive Agents](https://docs.praison.ai/docs/features/repetitive.md): Learn how to create AI agents that can efficiently handle repetitive tasks through automated loops.
- [Agentic Routing](https://docs.praison.ai/docs/features/routing.md): Learn how to create AI agents that can dynamically route tasks to specialized handlers.
- [Rules & Instructions](https://docs.praison.ai/docs/features/rules.md): Auto-discover and apply persistent rules like Cursor, Windsurf, Claude, and Codex
- [Sandbox](https://docs.praison.ai/docs/features/sandbox.md): Secure isolated environment for executing untrusted code safely
- [Save Agent Output](https://docs.praison.ai/docs/features/save-output.md): How to save agent responses to files automatically
- [Security Environment Variables](https://docs.praison.ai/docs/features/security-environment-variables.md): Control security-sensitive features with environment variables
- [Self Reflection AI Agents](https://docs.praison.ai/docs/features/selfreflection.md): Self-reflection enables agents to evaluate and improve their own responses before delivering them.
- [Session Hierarchy Module](https://docs.praison.ai/docs/features/session-hierarchy.md): Parent-child sessions, forking, snapshots, and revert capabilities
- [Session Persistence](https://docs.praison.ai/docs/features/session-persistence.md): Automatic session persistence with zero configuration
- [Session Store Protocol](https://docs.praison.ai/docs/features/session-protocol.md): Swap session backends with a unified protocol interface
- [Sessions & Remote Agents](https://docs.praison.ai/docs/features/sessions.md): Stateful conversations and remote agent connectivity
- [Agent Skills](https://docs.praison.ai/docs/features/skills.md): Extend agent capabilities with modular skills following the open Agent Skills standard
- [Specialized Agents](https://docs.praison.ai/docs/features/specialized-agents.md): Use specialized agent types (AudioAgent, VideoAgent, ImageAgent, OCRAgent) in YAML workflows
- [Stateful Agents](https://docs.praison.ai/docs/features/stateful-agents.md): Build persistent, memory-aware agents with session management and complex workflows
- [Streaming](https://docs.praison.ai/docs/features/streaming.md): Real-time token streaming for responsive AI interactions
- [Structured AI Agents](https://docs.praison.ai/docs/features/structured.md): Learn how to create AI agents that return structured, type-safe outputs using Pydantic models and JSON.
- [Subagent Delegation](https://docs.praison.ai/docs/features/subagent-delegation.md): Spawn and manage subagents with scoped permissions
- [Subagent Tool](https://docs.praison.ai/docs/features/subagent-tool.md): Spawn subagents dynamically with model and permission control
- [Supabase Database](https://docs.praison.ai/docs/features/supabase.md): PostgreSQL with REST API and real-time subscriptions for AI agents
- [Task Context Control](https://docs.praison.ai/docs/features/task-context-control.md): Manage context size and information flow in long workflows
- [Task Validation & Feedback](https://docs.praison.ai/docs/features/task-validation-feedback.md): Learn how to implement validation and feedback mechanisms for tasks using guardrails and decision-based workflows.
- [Telemetry & Performance Tracking](https://docs.praison.ai/docs/features/telemetry.md): Comprehensive telemetry system for monitoring agent performance, tracking metrics, and optimizing AI workflows.
- [Terminal-Bench Integration](https://docs.praison.ai/docs/features/terminal-bench.md): Benchmark PraisonAI agents on real-world terminal tasks using Terminal-Bench 2.0 and Harbor framework
- [Thinking Budgets](https://docs.praison.ai/docs/features/thinking-budgets.md): Extended thinking token budgets for complex reasoning
- [Thread-Safe Agent State](https://docs.praison.ai/docs/features/thread-safety.md): Thread-safe chat history and cache management
- [TUI Commands](https://docs.praison.ai/docs/features/tui/commands.md): CLI commands for PraisonAI TUI
- [TUI Overview](https://docs.praison.ai/docs/features/tui/overview.md): Interactive Terminal User Interface for PraisonAI
- [Queue System](https://docs.praison.ai/docs/features/tui/queue.md): Queue management for PraisonAI TUI
- [TUI Simulation](https://docs.praison.ai/docs/features/tui/simulation.md): Headless TUI simulation and testing for PraisonAI
- [Turso Edge Database](https://docs.praison.ai/docs/features/turso.md): SQLite at the edge with embedded replicas for microsecond-latency AI agents
- [WhatsApp Bot](https://docs.praison.ai/docs/features/whatsapp-bot.md): Connect your AI agent to WhatsApp — Cloud API or Web mode
- [Workflow Loop Processing](https://docs.praison.ai/docs/features/workflow-loop.md): Iterate over lists, CSV files, or text files using the loop() helper
- [Workflow Parallel Execution](https://docs.praison.ai/docs/features/workflow-parallel.md): Execute multiple steps concurrently using the parallel() helper
- [Workflow Patterns](https://docs.praison.ai/docs/features/workflow-patterns.md): Overview of all workflow patterns: routing, parallel, loop, and repeat
- [Workflow Repeat (Evaluator-Optimizer)](https://docs.praison.ai/docs/features/workflow-repeat.md): Repeat steps until a condition is met using the repeat() helper
- [Workflow Routing](https://docs.praison.ai/docs/features/workflow-routing.md): Decision-based branching in workflows using the route() helper
- [Workflow Validation Loop](https://docs.praison.ai/docs/features/workflow-validation.md): Implement validation feedback and retry mechanisms in your workflows
- [Workflows](https://docs.praison.ai/docs/features/workflows.md): Create reusable multi-step workflows with context passing and per-step agents
- [Xata Serverless Database](https://docs.praison.ai/docs/features/xata.md): PostgreSQL with built-in search, analytics, and file storage for AI agents
- [YAML Configuration Reference](https://docs.praison.ai/docs/features/yaml-configuration-reference.md): Complete reference for agents.yaml and workflow.yaml configuration options
- [YAML Workflows](https://docs.praison.ai/docs/features/yaml-workflows.md): Define and execute complex workflows using YAML configuration files
- [Firecrawl PraisonAI Integration](https://docs.praison.ai/docs/firecrawl.md): Guide for integrating Firecrawl web scraping capabilities with PraisonAI, including custom tool implementation for web page content extraction
- [AG2 with PraisonAI](https://docs.praison.ai/docs/framework/autogen.md): Use AG2 framework with PraisonAI for multi-agent GroupChat orchestration, tool registration, and AWS Bedrock support
- [CrewAI with PraisonAI](https://docs.praison.ai/docs/framework/crewai.md): Guide for using CrewAI framework with PraisonAI, including installation, setup, and execution of agent-based tasks
- [PraisonAI Agents](https://docs.praison.ai/docs/framework/praisonaiagents.md): Guide for using PraisonAI Agents framework, a lightweight package for creating and managing AI agents with advanced capabilities
- [Docker Deployment](https://docs.praison.ai/docs/guides/deployment/docker.md): Deploy agents with Docker
- [Deployment](https://docs.praison.ai/docs/guides/deployment/index.md): Deploy agents to production
- [Deployment Overview](https://docs.praison.ai/docs/guides/deployment/overview.md): Options for deploying agents to production
- [Guides](https://docs.praison.ai/docs/guides/index.md): Step-by-step guides for building with PraisonAI
- [Building Multi-Agent Systems](https://docs.praison.ai/docs/guides/multi-agent.md): Learn how to orchestrate multiple AI agents working together
- [Database Setup](https://docs.praison.ai/docs/guides/persistence/databases.md): Configure database backends for persistence
- [Persistence](https://docs.praison.ai/docs/guides/persistence/index.md): Save and resume agent sessions
- [Persistence Overview](https://docs.praison.ai/docs/guides/persistence/overview.md): Understanding agent state persistence
- [Session Resume](https://docs.praison.ai/docs/guides/persistence/session-resume.md): Resume interrupted agent sessions
- [Platform Getting Started](https://docs.praison.ai/docs/guides/platform/getting-started.md): Install, run server, and make your first API call to PraisonAI Platform
- [Platform Guides](https://docs.praison.ai/docs/guides/platform/index.md): Learn how to run the PraisonAI Platform — a workspace for managing AI agents, issues, and projects.
- [Organize with Labels & Dependencies](https://docs.praison.ai/docs/guides/platform/organize-issues.md): Learn how to categorize and prioritize work with labels and dependencies
- [Platform Quick Tutorial](https://docs.praison.ai/docs/guides/platform/quick-tutorial.md): Complete platform workflow: register, create workspace, project, issues, and assign AI agents in 10 minutes
- [Chunking Strategies](https://docs.praison.ai/docs/guides/rag/chunking.md): Optimize document chunking for better retrieval
- [RAG & Knowledge](https://docs.praison.ai/docs/guides/rag/index.md): Add knowledge bases and retrieval-augmented generation to your agents
- [Knowledge Base Setup](https://docs.praison.ai/docs/guides/rag/knowledge-base.md): Create and configure knowledge bases for your agents
- [Retrieval Methods](https://docs.praison.ai/docs/guides/rag/retrieval.md): Configure retrieval strategies for knowledge bases
- [Decision Guide](https://docs.praison.ai/docs/guides/recipes/decision-guide.md): When to use which integration model
- [Recipe Integration Guide](https://docs.praison.ai/docs/guides/recipes/index.md): Complete guide to integrating PraisonAI recipes into your applications
- [Integration Models](https://docs.praison.ai/docs/guides/recipes/integration-models.md): 6 ways to integrate PraisonAI recipes into your applications
- [Model 2: CLI Invocation](https://docs.praison.ai/docs/guides/recipes/integration-models/cli-invocation.md): Language-agnostic recipe execution via subprocess
- [Model 1: Embedded SDK](https://docs.praison.ai/docs/guides/recipes/integration-models/embedded-sdk.md): Direct Python integration with zero network overhead
- [Model 5: Event-Driven](https://docs.praison.ai/docs/guides/recipes/integration-models/event-driven.md): Queue-based async processing for high-volume workloads
- [Integration Models Overview](https://docs.praison.ai/docs/guides/recipes/integration-models/index.md): 6 ways to integrate PraisonAI recipes into your applications
- [Model 3: Local HTTP Sidecar](https://docs.praison.ai/docs/guides/recipes/integration-models/local-http-sidecar.md): HTTP API running locally for polyglot microservices
- [Model 6: Plugin Mode](https://docs.praison.ai/docs/guides/recipes/integration-models/plugin-mode.md): Embed recipes into IDEs, CMS platforms, and chat applications
- [Model 4: Remote Managed Runner](https://docs.praison.ai/docs/guides/recipes/integration-models/remote-managed-runner.md): Centralized, authenticated recipe execution for production
- [Personas](https://docs.praison.ai/docs/guides/recipes/personas.md): Who uses PraisonAI recipes and how
- [App Developer Persona](https://docs.praison.ai/docs/guides/recipes/personas/app-developer.md): Build applications that integrate PraisonAI recipes
- [Personas Overview](https://docs.praison.ai/docs/guides/recipes/personas/index.md): Role-specific guidance for integrating PraisonAI recipes
- [Platform/DevOps Persona](https://docs.praison.ai/docs/guides/recipes/personas/platform-devops.md): Deploy and operate PraisonAI recipe infrastructure
- [Recipe Author Persona](https://docs.praison.ai/docs/guides/recipes/personas/recipe-author.md): Create and maintain PraisonAI recipes
- [Use Cases](https://docs.praison.ai/docs/guides/recipes/use-cases.md): 12 real-world implementation patterns for PraisonAI recipes
- [Building a Single Agent](https://docs.praison.ai/docs/guides/single-agent.md): Learn how to create and configure a single AI agent
- [Add Tools to Recipes](https://docs.praison.ai/docs/guides/templates/add-tools-to-templates.md): Step-by-step guide to adding and configuring tools in recipes
- [Create Custom Recipes](https://docs.praison.ai/docs/guides/templates/create-custom-templates.md): Step-by-step guide to creating your own PraisonAI recipes
- [Debug Recipes](https://docs.praison.ai/docs/guides/templates/debug-templates.md): Step-by-step guide to debugging and troubleshooting recipes
- [Different Ways to Create Recipes](https://docs.praison.ai/docs/guides/templates/different-ways-to-create-templates.md): Explore all methods for creating PraisonAI recipes
- [Recipes Guide](https://docs.praison.ai/docs/guides/templates/index.md): Complete guide to working with PraisonAI recipes
- [Manage Recipes](https://docs.praison.ai/docs/guides/templates/manage-templates.md): Step-by-step guide to updating, editing, and deleting recipes
- [Use Existing Recipes](https://docs.praison.ai/docs/guides/templates/use-existing-templates.md): Step-by-step guide to running and using existing PraisonAI recipes
- [Assign Tools to Templates](https://docs.praison.ai/docs/guides/tools/assign-tools-to-templates.md): Step-by-step guide to assigning and configuring tools in templates
- [Create Custom Tools](https://docs.praison.ai/docs/guides/tools/create-custom-tools.md): Step-by-step guide to creating custom tools for PraisonAI agents
- [Debug Tools](https://docs.praison.ai/docs/guides/tools/debug-tools.md): Step-by-step guide to debugging and troubleshooting tools
- [Different Ways to Create Tools](https://docs.praison.ai/docs/guides/tools/different-ways-to-create-tools.md): Explore all methods for creating tools in PraisonAI
- [Tools Guide](https://docs.praison.ai/docs/guides/tools/index.md): Complete guide to working with PraisonAI tools
- [Remote Tools from GitHub](https://docs.praison.ai/docs/guides/tools/remote-tools-github.md): Step-by-step guide to using tools from GitHub and remote URLs
- [Workflows](https://docs.praison.ai/docs/guides/workflows/index.md): Understanding workflow patterns for multi-agent systems
- [Orchestrator Pattern](https://docs.praison.ai/docs/guides/workflows/orchestrator.md): A manager agent that delegates work to specialists
- [Parallel Workflow](https://docs.praison.ai/docs/guides/workflows/parallel.md): Execute multiple agents simultaneously for faster results
- [Routing Workflow](https://docs.praison.ai/docs/guides/workflows/routing.md): Send requests to the right specialist agent
- [Sequential Workflow](https://docs.praison.ai/docs/guides/workflows/sequential.md): Chain agents one after another like an assembly line
- [Praison AI](https://docs.praison.ai/docs/home.md): PraisonAI is a production-ready Multi-AI Agents framework with self-reflection, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasisi…
- [Azure Images](https://docs.praison.ai/docs/image/azure.md): Azure OpenAI DALL-E
- [AWS Bedrock Images](https://docs.praison.ai/docs/image/bedrock.md): Stable Diffusion on Bedrock
- [Google AI Studio Images](https://docs.praison.ai/docs/image/google-ai.md): Gemini image generation
- [OpenAI Images](https://docs.praison.ai/docs/image/openai.md): DALL-E image generation
- [Image Generation](https://docs.praison.ai/docs/image/overview.md): AI image generation, editing, and variations
- [Recraft Images](https://docs.praison.ai/docs/image/recraft.md): AI-powered design and image generation
- [Vertex AI Images](https://docs.praison.ai/docs/image/vertex.md): Imagen image generation
- [Praison AI](https://docs.praison.ai/docs/index.md): Build, run, and manage Multi-Agent AI Systems with self-reflection. Create AI agents, teams, and workflows with 100+ LLM and tool integrations.
- [Installation](https://docs.praison.ai/docs/installation.md): Set up PraisonAI in your development environment
- [Langflow Integration](https://docs.praison.ai/docs/integrations/langflow.md): Use PraisonAI agents in Langflow visual workflows
- [Introduction](https://docs.praison.ai/docs/introduction.md): Welcome to PraisonAI - The Next Generation AI Agent Framework
- [A2A Protocol](https://docs.praison.ai/docs/js/advanced/a2a.md): Agent-to-Agent communication protocol for multi-agent systems
- [AGUI Protocol](https://docs.praison.ai/docs/js/advanced/agui.md): Agent GUI protocol for building visual agent interfaces
- [AutoRag Agent](https://docs.praison.ai/docs/js/advanced/auto-rag.md): Automatic retrieval-augmented generation with smart query detection
- [Conditions Module](https://docs.praison.ai/docs/js/advanced/conditions.md): Create dynamic routing conditions for agent workflows
- [Configuration Module](https://docs.praison.ai/docs/js/advanced/config.md): Configure agents with type-safe presets, resolvers, and feature configs
- [Display](https://docs.praison.ai/docs/js/advanced/display.md): Customize how your agents display output
- [Embeddings Module](https://docs.praison.ai/docs/js/advanced/embeddings.md): Generate text embeddings for semantic search and similarity
- [Gateway & Bot Module](https://docs.praison.ai/docs/js/advanced/gateway.md): Build chat bots and gateway integrations for messaging platforms
- [Guardrail Policies](https://docs.praison.ai/docs/js/advanced/guardrail-policies.md): Define and resolve guardrail policies for agent safety
- [Plugins Module](https://docs.praison.ai/docs/js/advanced/plugins.md): Extend agents with custom plugins for tools, hooks, and integrations
- [Global Singletons](https://docs.praison.ai/docs/js/advanced/singletons.md): Global config, memory, observability, and workflow singletons
- [Trace Module](https://docs.praison.ai/docs/js/advanced/trace.md): Track agent execution with context events and trace sinks
- [Agent](https://docs.praison.ai/docs/js/agent.md): The core Agent class for building AI agents in TypeScript
- [Agent CLI](https://docs.praison.ai/docs/js/agent-cli.md): Command-line interface for single Agent chat and run operations
- [AgentFlow](https://docs.praison.ai/docs/js/agent-flow.md): Step-based workflow execution with routing and context
- [AgentTeam](https://docs.praison.ai/docs/js/agent-team.md): Multi-agent orchestration with sequential or parallel execution
- [AgentOS](https://docs.praison.ai/docs/js/agentos.md): Deploy AI agents as production web services
- [Agents (Multi-Agent)](https://docs.praison.ai/docs/js/agents.md): Orchestrate multiple agents working together
- [Agents CLI](https://docs.praison.ai/docs/js/agents-cli.md): Command-line interface for multi-agent orchestration
- [Multi-Provider Agents](https://docs.praison.ai/docs/js/ai-sdk.md): Build agents that work with any LLM provider - OpenAI, Anthropic, Google, and more
- [Multi-Provider Agent CLI](https://docs.praison.ai/docs/js/ai-sdk-cli.md): Command-line interface for running agents with any LLM provider
- [Async Jobs](https://docs.praison.ai/docs/js/async-jobs.md): Server-based asynchronous job execution in TypeScript
- [Async Jobs CLI](https://docs.praison.ai/docs/js/async-jobs-cli.md): CLI commands for managing async jobs in TypeScript
- [Attribution & Tracing](https://docs.praison.ai/docs/js/attribution.md): Track agent execution with attribution headers and tracing
- [Attribution CLI](https://docs.praison.ai/docs/js/attribution-cli.md): Track and trace agent execution from the command line
- [AutoAgents](https://docs.praison.ai/docs/js/auto-agents.md): Automatic agent generation from task descriptions
- [AutoAgents CLI](https://docs.praison.ai/docs/js/auto-agents-cli.md): CLI commands for automatic agent generation in PraisonAI TypeScript
- [Background Tasks](https://docs.praison.ai/docs/js/background-tasks.md): Run recipes and agents as background tasks in TypeScript
- [Background Tasks CLI](https://docs.praison.ai/docs/js/background-tasks-cli.md): CLI commands for managing background tasks in TypeScript
- [Benchmarks](https://docs.praison.ai/docs/js/benchmarks.md): Performance benchmarks for AI SDK vs Native backends
- [Benchmarks CLI](https://docs.praison.ai/docs/js/benchmarks-cli.md): Run performance benchmarks from the command line
- [Callbacks](https://docs.praison.ai/docs/js/callbacks.md): Global display and approval callbacks for agents
- [Chunking](https://docs.praison.ai/docs/js/chunking.md): Text chunking utilities for RAG and document processing
- [Chunking CLI](https://docs.praison.ai/docs/js/chunking-cli.md): CLI commands for text chunking in PraisonAI TypeScript
- [CLI Reference](https://docs.praison.ai/docs/js/cli.md): PraisonAI TypeScript CLI - Complete command reference
- [Computer Use](https://docs.praison.ai/docs/js/computer-use.md): Build agents that can control browsers and desktops
- [Computer Use CLI](https://docs.praison.ai/docs/js/computer-use-cli.md): Command-line interface for computer automation
- [Context Manager](https://docs.praison.ai/docs/js/context-manager.md): Manage Agent context windows with intelligent budgeting and optimization
- [Context Manager CLI](https://docs.praison.ai/docs/js/context-manager-cli.md): Manage Agent context via command line
- [Custom Tools for TypeScript AI Agents](https://docs.praison.ai/docs/js/customtools.md): Learn how to create custom tools for TypeScript AI Agents
- [Database & Persistence](https://docs.praison.ai/docs/js/database.md): Give Agents persistent memory across sessions
- [Database CLI](https://docs.praison.ai/docs/js/database-cli.md): CLI commands for database operations in PraisonAI TypeScript
- [Deep Research Agent](https://docs.praison.ai/docs/js/deep-research.md): Comprehensive research with citations and reasoning
- [Deep Research CLI](https://docs.praison.ai/docs/js/deep-research-cli.md): CLI commands for deep research in PraisonAI TypeScript
- [Development Setup](https://docs.praison.ai/docs/js/development.md): Set up your development environment for PraisonAI JavaScript framework
- [Embeddings](https://docs.praison.ai/docs/js/embeddings.md): Generate text embeddings using AI SDK with automatic fallback
- [Embeddings CLI](https://docs.praison.ai/docs/js/embeddings-cli.md): Generate embeddings from the command line
- [Evaluation Results](https://docs.praison.ai/docs/js/eval-results.md): Aggregate and analyze Agent evaluation results
- [Eval Results CLI](https://docs.praison.ai/docs/js/eval-results-cli.md): Analyze evaluation results via command line
- [Evaluation Framework](https://docs.praison.ai/docs/js/evaluation.md): Test and benchmark your Agents for quality and performance
- [Evaluation CLI](https://docs.praison.ai/docs/js/evaluation-cli.md): CLI commands for evaluation in PraisonAI TypeScript
- [Graph RAG](https://docs.praison.ai/docs/js/graph-rag.md): Give Agents relationship-aware knowledge with Graph RAG
- [Guardrails](https://docs.praison.ai/docs/js/guardrails.md): Keep Agents safe with input/output validation
- [Guardrails CLI](https://docs.praison.ai/docs/js/guardrails-cli.md): CLI commands for guardrails in PraisonAI TypeScript
- [Hierarchical Sessions](https://docs.praison.ai/docs/js/hierarchy-session.md): Create parent-child session relationships for complex Agent workflows
- [Hierarchical Sessions CLI](https://docs.praison.ai/docs/js/hierarchy-session-cli.md): Manage session hierarchies via command line
- [Hooks Manager](https://docs.praison.ai/docs/js/hooks-manager.md): Intercept agent operations with pre/post hooks
- [Image Agent](https://docs.praison.ai/docs/js/image-agent.md): Agent for image analysis and generation
- [Image Agent CLI](https://docs.praison.ai/docs/js/image-agent-cli.md): CLI commands for image generation and analysis in PraisonAI TypeScript
- [JavaScript AI Agents Framework](https://docs.praison.ai/docs/js/js.md): A production-ready Multi AI Agents framework for JavaScript
- [Knowledge Base (RAG)](https://docs.praison.ai/docs/js/knowledge-base.md): Give Agents access to your documents and data
- [Knowledge Base CLI](https://docs.praison.ai/docs/js/knowledge-base-cli.md): CLI commands for knowledge base in PraisonAI TypeScript
- [LLM Guardrail](https://docs.praison.ai/docs/js/llm-guardrail.md): LLM-based content validation and safety checks
- [LLM Guardrail CLI](https://docs.praison.ai/docs/js/llm-guardrail-cli.md): CLI commands for LLM-based guardrails in PraisonAI TypeScript
- [MCP Security](https://docs.praison.ai/docs/js/mcp-security.md): Secure your MCP connections with authentication and rate limiting
- [MCP Security CLI](https://docs.praison.ai/docs/js/mcp-security-cli.md): Manage MCP security via command line
- [MCP Tools](https://docs.praison.ai/docs/js/mcp-tools.md): Model Context Protocol integration for AI agents
- [MCP Tools CLI](https://docs.praison.ai/docs/js/mcp-tools-cli.md): Command-line interface for MCP servers
- [Memory System](https://docs.praison.ai/docs/js/memory.md): Give Agents semantic memory to recall relevant information
- [Memory CLI](https://docs.praison.ai/docs/js/memory-cli.md): CLI commands for memory management in PraisonAI TypeScript
- [Memory Hooks](https://docs.praison.ai/docs/js/memory-hooks.md): Intercept and modify memory operations with pre/post hooks
- [Memory Hooks CLI](https://docs.praison.ai/docs/js/memory-hooks-cli.md): Configure memory hooks via command line
- [Multi-Modal Agent](https://docs.praison.ai/docs/js/multimodal-agent.md): Build agents that work with images, PDFs, and files
- [Multi-Modal Agent CLI](https://docs.praison.ai/docs/js/multimodal-agent-cli.md): Command-line interface for multi-modal agents
- [Next.js Integration](https://docs.praison.ai/docs/js/nextjs.md): Build AI-powered Next.js applications
- [Natural Language Postgres](https://docs.praison.ai/docs/js/nl-postgres.md): Query PostgreSQL databases using natural language
- [Natural Language Postgres CLI](https://docs.praison.ai/docs/js/nl-postgres-cli.md): Query PostgreSQL from the command line
- [Node.js AI Agents Framework](https://docs.praison.ai/docs/js/nodejs.md): A production-ready Multi AI Agents framework for Node.js
- [Observability](https://docs.praison.ai/docs/js/observability.md): Monitor, trace, and debug your Agents with 14+ integrations
- [Observability CLI](https://docs.praison.ai/docs/js/observability-cli.md): CLI commands for 14+ observability integrations in PraisonAI TypeScript
- [Arize CLI](https://docs.praison.ai/docs/js/observability/arize-cli.md): CLI commands for Arize observability
- [Arize AX](https://docs.praison.ai/docs/js/observability/arize-code.md): Use Arize AX (Phoenix) with PraisonAI TypeScript
- [Axiom CLI](https://docs.praison.ai/docs/js/observability/axiom-cli.md): CLI commands for Axiom observability
- [Axiom](https://docs.praison.ai/docs/js/observability/axiom-code.md): Use Axiom logging with PraisonAI TypeScript
- [Braintrust CLI](https://docs.praison.ai/docs/js/observability/braintrust-cli.md): CLI commands for Braintrust observability
- [Braintrust](https://docs.praison.ai/docs/js/observability/braintrust-code.md): Use Braintrust AI evaluation with PraisonAI TypeScript
- [Helicone Observability CLI](https://docs.praison.ai/docs/js/observability/helicone-obs-cli.md): CLI commands for Helicone observability
- [Helicone Observability](https://docs.praison.ai/docs/js/observability/helicone-obs-code.md): Use Helicone observability with PraisonAI TypeScript
- [Laminar CLI](https://docs.praison.ai/docs/js/observability/laminar-cli.md): CLI commands for Laminar observability
- [Laminar](https://docs.praison.ai/docs/js/observability/laminar-code.md): Use Laminar AI observability with PraisonAI TypeScript
- [Langfuse CLI](https://docs.praison.ai/docs/js/observability/langfuse-cli.md): CLI commands for Langfuse observability
- [Langfuse](https://docs.praison.ai/docs/js/observability/langfuse-code.md): Use Langfuse observability with PraisonAI TypeScript
- [LangSmith CLI](https://docs.praison.ai/docs/js/observability/langsmith-cli.md): CLI commands for LangSmith observability
- [LangSmith](https://docs.praison.ai/docs/js/observability/langsmith-code.md): Use LangSmith observability with PraisonAI TypeScript
- [LangWatch CLI](https://docs.praison.ai/docs/js/observability/langwatch-cli.md): CLI commands for LangWatch observability
- [LangWatch](https://docs.praison.ai/docs/js/observability/langwatch-code.md): Use LangWatch monitoring with PraisonAI TypeScript
- [Maxim CLI](https://docs.praison.ai/docs/js/observability/maxim-cli.md): CLI commands for Maxim observability
- [Maxim](https://docs.praison.ai/docs/js/observability/maxim-code.md): Use Maxim AI testing with PraisonAI TypeScript
- [Patronus CLI](https://docs.praison.ai/docs/js/observability/patronus-cli.md): CLI commands for Patronus observability
- [Patronus](https://docs.praison.ai/docs/js/observability/patronus-code.md): Use Patronus AI evaluation with PraisonAI TypeScript
- [Scorecard CLI](https://docs.praison.ai/docs/js/observability/scorecard-cli.md): CLI commands for Scorecard observability
- [Scorecard](https://docs.praison.ai/docs/js/observability/scorecard-code.md): Use Scorecard AI testing with PraisonAI TypeScript
- [SigNoz CLI](https://docs.praison.ai/docs/js/observability/signoz-cli.md): CLI commands for SigNoz observability
- [SigNoz](https://docs.praison.ai/docs/js/observability/signoz-code.md): Use SigNoz OpenTelemetry with PraisonAI TypeScript
- [Traceloop CLI](https://docs.praison.ai/docs/js/observability/traceloop-cli.md): CLI commands for Traceloop observability
- [Traceloop](https://docs.praison.ai/docs/js/observability/traceloop-code.md): Use Traceloop OpenLLMetry with PraisonAI TypeScript
- [Weave CLI](https://docs.praison.ai/docs/js/observability/weave-cli.md): CLI commands for Weave observability
- [Weave](https://docs.praison.ai/docs/js/observability/weave-code.md): Use Weights & Biases Weave with PraisonAI TypeScript
- [Performance Monitor](https://docs.praison.ai/docs/js/performance-monitor.md): Monitor and optimize Agent performance with detailed metrics
- [Performance Monitor CLI](https://docs.praison.ai/docs/js/performance-monitor-cli.md): Monitor Agent performance via command line
- [Planning System](https://docs.praison.ai/docs/js/planning.md): Enable Agents to create and execute multi-step plans
- [Planning CLI](https://docs.praison.ai/docs/js/planning-cli.md): CLI commands for planning and todo management in PraisonAI TypeScript
- [Plugin System](https://docs.praison.ai/docs/js/plugins.md): Create custom tools and plugins to extend PraisonAI TypeScript
- [PostgreSQL Integration](https://docs.praison.ai/docs/js/postgres.md): Give Agents persistent memory and conversation history with PostgreSQL
- [Prompt Expander Agent](https://docs.praison.ai/docs/js/prompt-expander.md): Expand and enhance prompts with more detail and context
- [Prompt Expander CLI](https://docs.praison.ai/docs/js/prompt-expander-cli.md): CLI commands for prompt expansion in PraisonAI TypeScript
- [Provider Registry](https://docs.praison.ai/docs/js/provider-registry.md): Register and use custom LLM providers in PraisonAI TypeScript SDK
- [Provider Registry CLI](https://docs.praison.ai/docs/js/provider-registry-cli.md): CLI commands for managing LLM providers in PraisonAI TypeScript
- [LLM Providers](https://docs.praison.ai/docs/js/providers.md): Use 60+ AI providers with your Agents - AI SDK v6 compatible
- [Providers CLI](https://docs.praison.ai/docs/js/providers-cli.md): CLI commands for 60+ LLM providers in PraisonAI TypeScript
- [AI Gateway CLI](https://docs.praison.ai/docs/js/providers/ai-gateway-cli.md): CLI commands for AI Gateway provider
- [AI Gateway Provider](https://docs.praison.ai/docs/js/providers/ai-gateway-code.md): Use AI Gateway with PraisonAI TypeScript
- [Aihubmix CLI](https://docs.praison.ai/docs/js/providers/aihubmix-cli.md): CLI commands for Aihubmix provider
- [Aihubmix Provider](https://docs.praison.ai/docs/js/providers/aihubmix-code.md): Use Aihubmix with PraisonAI TypeScript
- [Amazon Bedrock CLI](https://docs.praison.ai/docs/js/providers/amazon-bedrock-cli.md): CLI commands for Amazon Bedrock provider
- [Amazon Bedrock Provider](https://docs.praison.ai/docs/js/providers/amazon-bedrock-code.md): Use Amazon Bedrock with PraisonAI TypeScript
- [Anthropic CLI](https://docs.praison.ai/docs/js/providers/anthropic-cli.md): CLI commands for Anthropic provider
- [Anthropic Provider](https://docs.praison.ai/docs/js/providers/anthropic-code.md): Use Anthropic Claude models with PraisonAI TypeScript
- [AssemblyAI CLI](https://docs.praison.ai/docs/js/providers/assemblyai-cli.md): CLI commands for AssemblyAI provider
- [AssemblyAI Provider](https://docs.praison.ai/docs/js/providers/assemblyai-code.md): Use AssemblyAI transcription with PraisonAI TypeScript
- [Azure CLI](https://docs.praison.ai/docs/js/providers/azure-cli.md): CLI commands for Azure OpenAI provider
- [Azure OpenAI Provider](https://docs.praison.ai/docs/js/providers/azure-code.md): Use Azure OpenAI Service with PraisonAI TypeScript
- [Black Forest Labs CLI](https://docs.praison.ai/docs/js/providers/black-forest-labs-cli.md): CLI commands for Black Forest Labs provider
- [Black Forest Labs Provider](https://docs.praison.ai/docs/js/providers/black-forest-labs-code.md): Use FLUX image generation with PraisonAI TypeScript
- [Cerebras CLI](https://docs.praison.ai/docs/js/providers/cerebras-cli.md): CLI commands for Cerebras provider
- [Cerebras Provider](https://docs.praison.ai/docs/js/providers/cerebras-code.md): Use Cerebras with PraisonAI TypeScript
- [Clarifai CLI](https://docs.praison.ai/docs/js/providers/clarifai-cli.md): CLI commands for Clarifai provider
- [Clarifai Provider](https://docs.praison.ai/docs/js/providers/clarifai-code.md): Use Clarifai with PraisonAI TypeScript
- [Cloudflare Workers AI CLI](https://docs.praison.ai/docs/js/providers/cloudflare-workers-ai-cli.md): CLI commands for Cloudflare Workers AI provider
- [Cloudflare Workers AI Provider](https://docs.praison.ai/docs/js/providers/cloudflare-workers-ai-code.md): Use Cloudflare Workers AI with PraisonAI TypeScript
- [Cohere CLI](https://docs.praison.ai/docs/js/providers/cohere-cli.md): CLI commands for Cohere provider
- [Cohere Provider](https://docs.praison.ai/docs/js/providers/cohere-code.md): Use Cohere models with PraisonAI TypeScript
- [Crosshatch CLI](https://docs.praison.ai/docs/js/providers/crosshatch-cli.md): CLI commands for Crosshatch provider
- [Crosshatch Provider](https://docs.praison.ai/docs/js/providers/crosshatch-code.md): Use Crosshatch with PraisonAI TypeScript
- [Deepgram CLI](https://docs.praison.ai/docs/js/providers/deepgram-cli.md): CLI commands for Deepgram provider
- [Deepgram Provider](https://docs.praison.ai/docs/js/providers/deepgram-code.md): Use Deepgram speech with PraisonAI TypeScript
- [DeepInfra CLI](https://docs.praison.ai/docs/js/providers/deepinfra-cli.md): CLI commands for DeepInfra provider
- [DeepInfra Provider](https://docs.praison.ai/docs/js/providers/deepinfra-code.md): Use DeepInfra with PraisonAI TypeScript
- [DeepSeek CLI](https://docs.praison.ai/docs/js/providers/deepseek-cli.md): CLI commands for DeepSeek provider
- [DeepSeek Provider](https://docs.praison.ai/docs/js/providers/deepseek-code.md): Use DeepSeek models with PraisonAI TypeScript
- [Dify CLI](https://docs.praison.ai/docs/js/providers/dify-cli.md): CLI commands for Dify provider
- [Dify Provider](https://docs.praison.ai/docs/js/providers/dify-code.md): Use Dify with PraisonAI TypeScript
- [ElevenLabs CLI](https://docs.praison.ai/docs/js/providers/elevenlabs-cli.md): CLI commands for ElevenLabs provider
- [ElevenLabs Provider](https://docs.praison.ai/docs/js/providers/elevenlabs-code.md): Use ElevenLabs TTS with PraisonAI TypeScript
- [Fal CLI](https://docs.praison.ai/docs/js/providers/fal-cli.md): CLI commands for Fal provider
- [Fal Provider](https://docs.praison.ai/docs/js/providers/fal-code.md): Use Fal.ai image generation with PraisonAI TypeScript
- [Fireworks CLI](https://docs.praison.ai/docs/js/providers/fireworks-cli.md): CLI commands for Fireworks provider
- [Fireworks Provider](https://docs.praison.ai/docs/js/providers/fireworks-code.md): Use Fireworks AI with PraisonAI TypeScript
- [FriendliAI CLI](https://docs.praison.ai/docs/js/providers/friendliai-cli.md): CLI commands for FriendliAI provider
- [FriendliAI Provider](https://docs.praison.ai/docs/js/providers/friendliai-code.md): Use FriendliAI with PraisonAI TypeScript
- [Gladia CLI](https://docs.praison.ai/docs/js/providers/gladia-cli.md): CLI commands for Gladia provider
- [Gladia Provider](https://docs.praison.ai/docs/js/providers/gladia-code.md): Use Gladia transcription with PraisonAI TypeScript
- [Google CLI](https://docs.praison.ai/docs/js/providers/google-cli.md): CLI commands for Google Gemini provider
- [Google Provider](https://docs.praison.ai/docs/js/providers/google-code.md): Use Google Gemini models with PraisonAI TypeScript
- [Google Vertex AI CLI](https://docs.praison.ai/docs/js/providers/google-vertex-cli.md): CLI commands for Google Vertex AI provider
- [Google Vertex AI Provider](https://docs.praison.ai/docs/js/providers/google-vertex-code.md): Use Google Vertex AI with PraisonAI TypeScript
- [Groq CLI](https://docs.praison.ai/docs/js/providers/groq-cli.md): CLI commands for Groq provider
- [Groq Provider](https://docs.praison.ai/docs/js/providers/groq-code.md): Use Groq inference with PraisonAI TypeScript
- [Helicone CLI](https://docs.praison.ai/docs/js/providers/helicone-cli.md): CLI commands for Helicone provider
- [Helicone Provider](https://docs.praison.ai/docs/js/providers/helicone-code.md): Use Helicone proxy with PraisonAI TypeScript
- [Heroku CLI](https://docs.praison.ai/docs/js/providers/heroku-cli.md): CLI commands for Heroku provider
- [Heroku Provider](https://docs.praison.ai/docs/js/providers/heroku-code.md): Use Heroku with PraisonAI TypeScript
- [Hugging Face CLI](https://docs.praison.ai/docs/js/providers/huggingface-cli.md): CLI commands for Hugging Face provider
- [Hugging Face Provider](https://docs.praison.ai/docs/js/providers/huggingface-code.md): Use Hugging Face Inference with PraisonAI TypeScript
- [Hume CLI](https://docs.praison.ai/docs/js/providers/hume-cli.md): CLI commands for Hume provider
- [Hume Provider](https://docs.praison.ai/docs/js/providers/hume-code.md): Use Hume AI emotion with PraisonAI TypeScript
- [LangDB CLI](https://docs.praison.ai/docs/js/providers/langdb-cli.md): CLI commands for LangDB provider
- [LangDB Provider](https://docs.praison.ai/docs/js/providers/langdb-code.md): Use LangDB with PraisonAI TypeScript
- [Letta CLI](https://docs.praison.ai/docs/js/providers/letta-cli.md): CLI commands for Letta provider
- [Letta Provider](https://docs.praison.ai/docs/js/providers/letta-code.md): Use Letta with PraisonAI TypeScript
- [LM Studio CLI](https://docs.praison.ai/docs/js/providers/lm-studio-cli.md): CLI commands for LM Studio provider
- [LM Studio Provider](https://docs.praison.ai/docs/js/providers/lm-studio-code.md): Use LM Studio local models with PraisonAI TypeScript
- [LMNT CLI](https://docs.praison.ai/docs/js/providers/lmnt-cli.md): CLI commands for LMNT provider
- [LMNT Provider](https://docs.praison.ai/docs/js/providers/lmnt-code.md): Use LMNT TTS with PraisonAI TypeScript
- [Luma CLI](https://docs.praison.ai/docs/js/providers/luma-cli.md): CLI commands for Luma provider
- [Luma Provider](https://docs.praison.ai/docs/js/providers/luma-code.md): Use Luma AI video generation with PraisonAI TypeScript
- [Mem0 CLI](https://docs.praison.ai/docs/js/providers/mem0-cli.md): CLI commands for Mem0 provider
- [Mem0 Provider](https://docs.praison.ai/docs/js/providers/mem0-code.md): Use Mem0 with PraisonAI TypeScript
- [MiniMax CLI](https://docs.praison.ai/docs/js/providers/minimax-cli.md): CLI commands for MiniMax provider
- [MiniMax Provider](https://docs.praison.ai/docs/js/providers/minimax-code.md): Use MiniMax with PraisonAI TypeScript
- [Mistral CLI](https://docs.praison.ai/docs/js/providers/mistral-cli.md): CLI commands for Mistral provider
- [Mistral Provider](https://docs.praison.ai/docs/js/providers/mistral-code.md): Use Mistral AI models with PraisonAI TypeScript
- [Mixedbread CLI](https://docs.praison.ai/docs/js/providers/mixedbread-cli.md): CLI commands for Mixedbread provider
- [Mixedbread Provider](https://docs.praison.ai/docs/js/providers/mixedbread-code.md): Use Mixedbread embeddings with PraisonAI TypeScript
- [NVIDIA NIM CLI](https://docs.praison.ai/docs/js/providers/nvidia-nim-cli.md): CLI commands for NVIDIA NIM provider
- [NVIDIA NIM Provider](https://docs.praison.ai/docs/js/providers/nvidia-nim-code.md): Use NVIDIA NIM with PraisonAI TypeScript
- [Ollama CLI](https://docs.praison.ai/docs/js/providers/ollama-cli.md): CLI commands for Ollama provider
- [Ollama Provider](https://docs.praison.ai/docs/js/providers/ollama-code.md): Use local Ollama models with PraisonAI TypeScript
- [OpenAI CLI](https://docs.praison.ai/docs/js/providers/openai-cli.md): CLI commands for OpenAI provider
- [OpenAI Provider](https://docs.praison.ai/docs/js/providers/openai-code.md): Use OpenAI GPT models with PraisonAI TypeScript
- [OpenAI Compatible CLI](https://docs.praison.ai/docs/js/providers/openai-compatible-cli.md): CLI commands for OpenAI Compatible provider
- [OpenAI Compatible Provider](https://docs.praison.ai/docs/js/providers/openai-compatible-code.md): Use any OpenAI-compatible API with PraisonAI TypeScript
- [OpenRouter CLI](https://docs.praison.ai/docs/js/providers/openrouter-cli.md): CLI commands for OpenRouter provider
- [OpenRouter Provider](https://docs.praison.ai/docs/js/providers/openrouter-code.md): Use OpenRouter with PraisonAI TypeScript
- [Perplexity CLI](https://docs.praison.ai/docs/js/providers/perplexity-cli.md): CLI commands for Perplexity provider
- [Perplexity Provider](https://docs.praison.ai/docs/js/providers/perplexity-code.md): Use Perplexity AI with PraisonAI TypeScript
- [Portkey CLI](https://docs.praison.ai/docs/js/providers/portkey-cli.md): CLI commands for Portkey provider
- [Portkey Provider](https://docs.praison.ai/docs/js/providers/portkey-code.md): Use Portkey AI Gateway with PraisonAI TypeScript
- [Qwen CLI](https://docs.praison.ai/docs/js/providers/qwen-cli.md): CLI commands for Qwen provider
- [Qwen Provider](https://docs.praison.ai/docs/js/providers/qwen-code.md): Use Alibaba Qwen with PraisonAI TypeScript
- [Replicate CLI](https://docs.praison.ai/docs/js/providers/replicate-cli.md): CLI commands for Replicate provider
- [Replicate Provider](https://docs.praison.ai/docs/js/providers/replicate-code.md): Use Replicate with PraisonAI TypeScript
- [Requesty CLI](https://docs.praison.ai/docs/js/providers/requesty-cli.md): CLI commands for Requesty provider
- [Requesty Provider](https://docs.praison.ai/docs/js/providers/requesty-code.md): Use Requesty with PraisonAI TypeScript
- [Rev.ai CLI](https://docs.praison.ai/docs/js/providers/revai-cli.md): CLI commands for Rev.ai provider
- [Rev.ai Provider](https://docs.praison.ai/docs/js/providers/revai-code.md): Use Rev.ai transcription with PraisonAI TypeScript
- [RunPod CLI](https://docs.praison.ai/docs/js/providers/runpod-cli.md): CLI commands for RunPod provider
- [RunPod Provider](https://docs.praison.ai/docs/js/providers/runpod-code.md): Use RunPod with PraisonAI TypeScript
- [SambaNova CLI](https://docs.praison.ai/docs/js/providers/sambanova-cli.md): CLI commands for SambaNova provider
- [SambaNova Provider](https://docs.praison.ai/docs/js/providers/sambanova-code.md): Use SambaNova with PraisonAI TypeScript
- [Sarvam CLI](https://docs.praison.ai/docs/js/providers/sarvam-cli.md): CLI commands for Sarvam provider
- [Sarvam Provider](https://docs.praison.ai/docs/js/providers/sarvam-code.md): Use Sarvam with PraisonAI TypeScript
- [Spark CLI](https://docs.praison.ai/docs/js/providers/spark-cli.md): CLI commands for Spark provider
- [Spark Provider](https://docs.praison.ai/docs/js/providers/spark-code.md): Use Spark with PraisonAI TypeScript
- [Together.ai CLI](https://docs.praison.ai/docs/js/providers/togetherai-cli.md): CLI commands for Together.ai provider
- [Together.ai Provider](https://docs.praison.ai/docs/js/providers/togetherai-code.md): Use Together.ai with PraisonAI TypeScript
- [Vercel CLI](https://docs.praison.ai/docs/js/providers/vercel-cli.md): CLI commands for Vercel provider
- [Vercel Provider](https://docs.praison.ai/docs/js/providers/vercel-code.md): Use Vercel AI with PraisonAI TypeScript
- [xAI CLI](https://docs.praison.ai/docs/js/providers/xai-cli.md): CLI commands for xAI Grok provider
- [xAI Provider](https://docs.praison.ai/docs/js/providers/xai-code.md): Use xAI Grok models with PraisonAI TypeScript
- [Zhipu AI CLI](https://docs.praison.ai/docs/js/providers/zhipu-ai-cli.md): CLI commands for Zhipu AI provider
- [Zhipu AI Provider](https://docs.praison.ai/docs/js/providers/zhipu-ai-code.md): Use Zhipu AI (GLM) with PraisonAI TypeScript
- [Query Rewriter Agent](https://docs.praison.ai/docs/js/query-rewriter.md): Optimize and rewrite queries for better results
- [Query Rewriter CLI](https://docs.praison.ai/docs/js/query-rewriter-cli.md): CLI commands for query rewriting in PraisonAI TypeScript
- [RAG Agent](https://docs.praison.ai/docs/js/rag-agent.md): Build Retrieval-Augmented Generation agents with knowledge bases
- [RAG Agent CLI](https://docs.praison.ai/docs/js/rag-agent-cli.md): Command-line interface for RAG agents
- [Redis Integration](https://docs.praison.ai/docs/js/redis.md): Give Agents fast caching, sessions, and real-time messaging with Redis
- [Reranking](https://docs.praison.ai/docs/js/reranking.md): Improve Agent retrieval accuracy with reranking
- [Router Agent](https://docs.praison.ai/docs/js/router-agent.md): Route requests to specialized agents
- [Router Agent CLI](https://docs.praison.ai/docs/js/router-agent-cli.md): CLI commands for router agent in PraisonAI TypeScript
- [Scheduler](https://docs.praison.ai/docs/js/scheduler.md): Schedule periodic agent and recipe execution in TypeScript
- [Scheduler CLI](https://docs.praison.ai/docs/js/scheduler-cli.md): CLI commands for scheduling periodic execution in TypeScript
- [Server Adapters](https://docs.praison.ai/docs/js/server-adapters.md): Deploy AI agents as HTTP servers with Express, Hono, Fastify, and more
- [Server Adapters CLI](https://docs.praison.ai/docs/js/server-adapters-cli.md): Command-line interface for running AI servers
- [Session Management](https://docs.praison.ai/docs/js/sessions.md): Give Agents conversation memory across multiple interactions
- [Sessions CLI](https://docs.praison.ai/docs/js/sessions-cli.md): CLI commands for session management in PraisonAI TypeScript
- [Skills System](https://docs.praison.ai/docs/js/skills.md): Extend Agent capabilities with reusable Skills
- [Skills CLI](https://docs.praison.ai/docs/js/skills-cli.md): CLI commands for skills management in PraisonAI TypeScript
- [Slackbot Agent](https://docs.praison.ai/docs/js/slackbot-agent.md): Build AI-powered Slack bots with PraisonAI
- [Slackbot Agent CLI](https://docs.praison.ai/docs/js/slackbot-agent-cli.md): Command-line interface for Slack bot management
- [Streaming](https://docs.praison.ai/docs/js/streaming.md): Real-time streaming responses from agents
- [Streaming CLI](https://docs.praison.ai/docs/js/streaming-cli.md): Command-line streaming options for agents
- [Structured Output](https://docs.praison.ai/docs/js/structured-output.md): Generate type-safe structured JSON output from agents using AI SDK
- [Structured Output CLI](https://docs.praison.ai/docs/js/structured-output-cli.md): Generate structured JSON output from the command line
- [Telemetry](https://docs.praison.ai/docs/js/telemetry.md): Usage tracking and analytics
- [Telemetry CLI](https://docs.praison.ai/docs/js/telemetry-cli.md): CLI commands for telemetry management in PraisonAI TypeScript
- [Template Catalog (TypeScript)](https://docs.praison.ai/docs/js/template-catalog.md): TypeScript/JavaScript API for interacting with the PraisonAI template catalog
- [Template Catalog CLI (JS)](https://docs.praison.ai/docs/js/template-catalog-cli.md): CLI commands for template catalog - reference for JavaScript/TypeScript developers
- [Tool System](https://docs.praison.ai/docs/js/tools.md): Give Agents tools to take actions and access external data
- [Tools CLI](https://docs.praison.ai/docs/js/tools-cli.md): CLI commands for tool management in PraisonAI TypeScript
- [Airweave](https://docs.praison.ai/docs/js/tools/airweave.md): Unified search across 35+ data sources with semantic search
- [Airweave CLI](https://docs.praison.ai/docs/js/tools/airweave-cli.md): Command-line interface for Airweave unified search
- [Bedrock AgentCore](https://docs.praison.ai/docs/js/tools/bedrock-agentcore.md): AWS Bedrock AgentCore tools for code interpretation and browser automation
- [Bedrock AgentCore CLI](https://docs.praison.ai/docs/js/tools/bedrock-agentcore-cli.md): Command-line interface for AWS Bedrock AgentCore tools
- [Code Execution](https://docs.praison.ai/docs/js/tools/code-execution.md): Execute Python code in a sandboxed environment using Vercel Sandbox
- [Code Execution CLI](https://docs.praison.ai/docs/js/tools/code-execution-cli.md): Command-line interface for code execution
- [Code Mode](https://docs.praison.ai/docs/js/tools/code-mode.md): AI-powered code generation and editing tool
- [Code Mode CLI](https://docs.praison.ai/docs/js/tools/code-mode-cli.md): Command-line interface for Code Mode tool
- [Exa Web Search](https://docs.praison.ai/docs/js/tools/exa.md): Semantic web search with Exa AI for intelligent information retrieval
- [Exa CLI](https://docs.praison.ai/docs/js/tools/exa-cli.md): Command-line interface for Exa web search
- [Firecrawl](https://docs.praison.ai/docs/js/tools/firecrawl.md): Web scraping, crawling, and data extraction for AI applications
- [Firecrawl CLI](https://docs.praison.ai/docs/js/tools/firecrawl-cli.md): Command-line interface for Firecrawl web scraping and crawling
- [Parallel Web](https://docs.praison.ai/docs/js/tools/parallel.md): Token-efficient web search and extraction for AI agents
- [Parallel CLI](https://docs.praison.ai/docs/js/tools/parallel-cli.md): Command-line interface for Parallel web search
- [Perplexity Search](https://docs.praison.ai/docs/js/tools/perplexity.md): Real-time web search with advanced filtering powered by Perplexity
- [Perplexity CLI](https://docs.praison.ai/docs/js/tools/perplexity-cli.md): Command-line interface for Perplexity web search
- [Tools Registry](https://docs.praison.ai/docs/js/tools/registry.md): AI SDK Tools Registry - Built-in tools for PraisonAI agents
- [Superagent Security](https://docs.praison.ai/docs/js/tools/superagent.md): AI security guardrails for prompt injection, PII redaction, and claim verification
- [Superagent CLI](https://docs.praison.ai/docs/js/tools/superagent-cli.md): Command-line interface for Superagent security tools
- [Tavily Search](https://docs.praison.ai/docs/js/tools/tavily.md): Web search, content extraction, and crawling with Tavily AI SDK
- [Tavily CLI](https://docs.praison.ai/docs/js/tools/tavily-cli.md): Command-line interface for Tavily search, extract, and crawl operations
- [Valyu Search](https://docs.praison.ai/docs/js/tools/valyu.md): Domain-specific search tools for finance, research, patents, and more
- [Valyu CLI](https://docs.praison.ai/docs/js/tools/valyu-cli.md): Command-line interface for Valyu domain-specific search
- [TypeScript AI Agents Framework](https://docs.praison.ai/docs/js/typescript.md): A production-ready Multi AI Agents framework for TypeScript
- [TypeScript Async AI Agents](https://docs.praison.ai/docs/js/typescript-async.md): A production-ready Multi AI Agents framework for TypeScript Async
- [Vector Stores](https://docs.praison.ai/docs/js/vector-stores.md): Give your Agents long-term memory with vector database integrations
- [Voice & TTS](https://docs.praison.ai/docs/js/voice.md): Build voice-enabled Agents with Text-to-Speech and Speech-to-Text
- [Workflow Hooks](https://docs.praison.ai/docs/js/workflow-hooks.md): Lifecycle hooks for workflow execution
- [Workflows](https://docs.praison.ai/docs/js/workflows.md): Orchestrate multi-Agent pipelines and complex task flows
- [Workflows CLI](https://docs.praison.ai/docs/js/workflows-cli.md): CLI commands for workflows in PraisonAI TypeScript
- [Knowledge Backends](https://docs.praison.ai/docs/knowledge/backends.md): Configure and use different knowledge storage backends in PraisonAI
- [Chat with PDF Agents](https://docs.praison.ai/docs/knowledge/chat-with-pdf.md): Learn how to create AI agents that can intelligently chat with PDF documents using vector databases for efficient information retrieval.
- [Knowledge Base](https://docs.praison.ai/docs/knowledge/features.md): Advanced knowledge management system for AI agents
- [Knowledge Overview](https://docs.praison.ai/docs/knowledge/overview.md): Give your agents access to documents and data
- [Knowledge Quick Start](https://docs.praison.ai/docs/knowledge/quickstart.md): Get started with knowledge-based agents in 5 minutes
- [Knowledge Storage](https://docs.praison.ai/docs/knowledge/storage.md): Vector store backends for knowledge and document retrieval
- [Airbnb MCP Integration](https://docs.praison.ai/docs/mcp/airbnb.md): Guide for integrating Airbnb booking capabilities with PraisonAI agents using MCP
- [Anthropic MCP Integration](https://docs.praison.ai/docs/mcp/anthropic.md): Guide for integrating Anthropic's Claude models with PraisonAI agents using MCP
- [AWS KB Retrieval MCP Integration](https://docs.praison.ai/docs/mcp/aws-kb-retrieval.md): Guide for integrating AWS Knowledge Base retrieval capabilities with PraisonAI agents using MCP
- [Brave Search MCP Integration](https://docs.praison.ai/docs/mcp/bravesearch.md): Guide for integrating Brave Search capabilities with PraisonAI agents using MCP
- [Custom Python MCP Server](https://docs.praison.ai/docs/mcp/custom.md): Guide for creating and using custom Python MCP servers with PraisonAI agents
- [Custom Python MCP Client](https://docs.praison.ai/docs/mcp/custom-python-client.md): Guide for creating a client to interact with a custom Python MCP server
- [Custom Python MCP Server](https://docs.praison.ai/docs/mcp/custom-python-server.md): Guide for creating a custom Python MCP server for stock price retrieval
- [Everart MCP Integration](https://docs.praison.ai/docs/mcp/everart.md): Guide for integrating Everart AI art generation capabilities with PraisonAI agents using MCP
- [Filesystem MCP Integration](https://docs.praison.ai/docs/mcp/filesystem.md): Guide for integrating filesystem operations with PraisonAI agents using MCP
- [Google Drive MCP Integration](https://docs.praison.ai/docs/mcp/gdrive.md): Guide for integrating Google Drive file management with PraisonAI agents using MCP
- [Gemini MCP Integration](https://docs.praison.ai/docs/mcp/gemini.md): Guide for integrating Google's Gemini models with PraisonAI agents using MCP
- [GitHub MCP Integration](https://docs.praison.ai/docs/mcp/github.md): Guide for integrating GitHub repository management with PraisonAI agents using MCP
- [GitLab MCP Integration](https://docs.praison.ai/docs/mcp/gitlab.md): Guide for integrating GitLab repository management with PraisonAI agents using MCP
- [Google Maps MCP Integration](https://docs.praison.ai/docs/mcp/google-maps.md): Guide for integrating Google Maps location services with PraisonAI agents using MCP
- [Groq MCP Integration](https://docs.praison.ai/docs/mcp/groq.md): Guide for integrating Groq models with PraisonAI agents using MCP
- [MCP Authentication](https://docs.praison.ai/docs/mcp/mcp-auth.md): OAuth 2.1, OIDC Discovery, and API Key authentication per MCP 2025-11-25
- [MCP Elicitation](https://docs.praison.ai/docs/mcp/mcp-elicitation.md): Request user input during server operations per MCP 2025-11-25
- [MCP Pagination Module](https://docs.praison.ai/docs/mcp/mcp-pagination.md): Paginate tools, resources, and prompts lists per MCP 2025-11-25 specification
- [MCP Registry Bridge Module](https://docs.praison.ai/docs/mcp/mcp-registry-bridge.md): Bridge praisonaiagents.tools to MCP server registry with lazy loading
- [MCP Sampling](https://docs.praison.ai/docs/mcp/mcp-sampling.md): Request LLM completions from clients per MCP 2025-11-25
- [MCP Servers](https://docs.praison.ai/docs/mcp/mcp-server.md): Learn how to create Model Context Protocol (MCP) servers with PraisonAI agents
- [MCP Tasks API](https://docs.praison.ai/docs/mcp/mcp-tasks-api.md): Durable task management for long-running operations per MCP 2025-11-25
- [MCP Tool Annotations Module](https://docs.praison.ai/docs/mcp/mcp-tool-annotations.md): MCP 2025-11-25 tool annotation hints for behavioral metadata
- [MCP Tool Search Module](https://docs.praison.ai/docs/mcp/mcp-tool-search.md): Search and filter MCP tools by query, category, tags, and annotations
- [MCP Tools Integration](https://docs.praison.ai/docs/mcp/mcp-tools.md): Integrate Model Context Protocol tools with agents
- [MCP Tools Server](https://docs.praison.ai/docs/mcp/mcp-tools-server.md): Expose your Python functions as MCP tools for external clients like Claude Desktop, Cursor, and other MCP clients
- [Memory MCP Integration](https://docs.praison.ai/docs/mcp/memory.md): Guide for integrating memory storage capabilities with PraisonAI agents using MCP
- [Mistral MCP Integration](https://docs.praison.ai/docs/mcp/mistral.md): Guide for integrating Mistral models with PraisonAI agents using MCP
- [Ollama MCP Integration](https://docs.praison.ai/docs/mcp/ollama.md): Guide for integrating Ollama models with PraisonAI agents using MCP
- [Ollama Python MCP Integration](https://docs.praison.ai/docs/mcp/ollama-python.md): Guide for integrating Ollama models with Python MCP servers using PraisonAI agents
- [OpenAI MCP Integration](https://docs.praison.ai/docs/mcp/openai.md): Guide for integrating OpenAI models with PraisonAI agents using MCP
- [OpenRouter MCP Integration](https://docs.praison.ai/docs/mcp/openrouter.md): Guide for integrating OpenRouter models with PraisonAI agents using MCP
- [Perplexity MCP Integration](https://docs.praison.ai/docs/mcp/perplexity.md): Guide for integrating Perplexity search with PraisonAI agents using MCP
- [Playwright](https://docs.praison.ai/docs/mcp/playwright.md): Using Playwright MCP with PraisonAI
- [PostgreSQL MCP Integration](https://docs.praison.ai/docs/mcp/postgres.md): Guide for integrating PostgreSQL database operations with PraisonAI agents using MCP
- [PraisonAI MCP Server](https://docs.praison.ai/docs/mcp/praisonai-mcp-server.md): Run PraisonAI as an MCP server for Claude Desktop, Cursor, and other MCP clients
- [Puppeteer MCP Integration](https://docs.praison.ai/docs/mcp/puppeteer.md): Guide for integrating web automation capabilities with PraisonAI agents using Puppeteer MCP
- [Redis MCP Integration](https://docs.praison.ai/docs/mcp/redis.md): Guide for integrating Redis database operations with PraisonAI agents using MCP
- [Sequential Thinking MCP Integration](https://docs.praison.ai/docs/mcp/sequential-thinking.md): Guide for integrating sequential thinking capabilities with PraisonAI agents using MCP
- [Slack MCP Integration](https://docs.praison.ai/docs/mcp/slack.md): Guide for integrating Slack messaging capabilities with PraisonAI agents using MCP
- [MCP SSE Integration](https://docs.praison.ai/docs/mcp/sse.md): Guide for integrating Server-Sent Events (SSE) with PraisonAI agents using MCP
- [SSE Transport](https://docs.praison.ai/docs/mcp/sse-transport.md): Real-time Model Context Protocol integration via Server-Sent Events
- [MCP STDIO Integration](https://docs.praison.ai/docs/mcp/stdio.md): Guide for integrating Standard Input/Output (STDIO) with PraisonAI agents using MCP
- [Stock Price MCP Integration](https://docs.praison.ai/docs/mcp/stockprice.md): Guide for integrating stock price retrieval capabilities with PraisonAI agents using MCP
- [MCP Transports](https://docs.praison.ai/docs/mcp/transports.md): Complete guide to MCP transport mechanisms - stdio, Streamable HTTP, WebSocket, and SSE
- [WhatsApp MCP Integration](https://docs.praison.ai/docs/mcp/whatsapp.md): Guide for integrating WhatsApp messaging with PraisonAI agents using MCP
- [xAI MCP Integration](https://docs.praison.ai/docs/mcp/xai.md): Guide for integrating XAI's Grok model with PraisonAI agents using MCP
- [Advanced Memory System](https://docs.praison.ai/docs/memory/advanced.md): Multi-tiered memory with quality scoring and graph support
- [Memory Advanced Search](https://docs.praison.ai/docs/memory/advanced-search.md): Learn how to use advanced search parameters for memory retrieval including reranking and relevance filtering.
- [Graph Memory](https://docs.praison.ai/docs/memory/graph.md): Advanced graph-based memory using Neo4j and Memgraph for complex relationship modeling
- [Memory Overview](https://docs.praison.ai/docs/memory/overview.md): Persistent memory and state management for AI agents
- [Quickstart](https://docs.praison.ai/docs/memory/quickstart.md): Get started with database persistence in 5 minutes
- [Session Resume](https://docs.praison.ai/docs/memory/session-resume.md): Continue conversations across sessions
- [Memory Storage](https://docs.praison.ai/docs/memory/storage.md): Database backends for agent memory and state persistence
- [Models in PraisonAI](https://docs.praison.ai/docs/models.md): Overview of supported language models in PraisonAI, including OpenAI, Groq, Google Gemini, Anthropic Claude, and configuration examples
- [Anthropic Claude](https://docs.praison.ai/docs/models/anthropic.md): Use Anthropic Claude models with PraisonAI Agents
- [AWS Bedrock](https://docs.praison.ai/docs/models/aws.md): Use AWS Bedrock models with PraisonAI Agents
- [Cohere](https://docs.praison.ai/docs/models/cohere.md): Use Cohere models with PraisonAI Agents
- [Custom Provider Registry](https://docs.praison.ai/docs/models/custom-provider.md): Register and use custom LLM providers in PraisonAI Python SDK
- [DeepSeek](https://docs.praison.ai/docs/models/deepseek.md): Use DeepSeek models with PraisonAI Agents
- [Google Gemini](https://docs.praison.ai/docs/models/google.md): Use Google Gemini models with PraisonAI Agents
- [Groq](https://docs.praison.ai/docs/models/groq.md): Use Groq's ultra-fast inference with PraisonAI Agents
- [Mistral](https://docs.praison.ai/docs/models/mistral.md): Use Mistral AI models with PraisonAI Agents
- [Ollama](https://docs.praison.ai/docs/models/ollama.md): Use local Ollama models with PraisonAI Agents
- [OpenAI ChatGPT](https://docs.praison.ai/docs/models/openai.md): Use OpenAI GPT models with PraisonAI Agents
- [OpenRouter](https://docs.praison.ai/docs/models/openrouter.md): Use OpenRouter to access multiple AI providers with PraisonAI
- [Other Models](https://docs.praison.ai/docs/models/other.md): Use any LiteLLM-supported model with PraisonAI Agents
- [Together AI](https://docs.praison.ai/docs/models/together.md): Use Together AI's fast inference with PraisonAI Agents
- [AgentOps PraisonAI Monitoring](https://docs.praison.ai/docs/monitoring/agentops.md): Guide for setting up and using AgentOps monitoring with PraisonAI, including installation and dashboard configuration
- [Latency Tracking](https://docs.praison.ai/docs/monitoring/latency-tracking.md): Monitor and optimise performance with comprehensive latency tracking in PraisonAI
- [Auto Generation Mode](https://docs.praison.ai/docs/nocode/auto.md): Automatically generate and run agents from a topic
- [Initialise](https://docs.praison.ai/docs/nocode/initialise.md): Create agents.yaml configuration file
- [Installation](https://docs.praison.ai/docs/nocode/installation.md): Install PraisonAI for no-code agent workflows
- [Introduction](https://docs.praison.ai/docs/nocode/introduction.md): Get started with PraisonAI using CLI and YAML configuration
- [Run](https://docs.praison.ai/docs/nocode/run.md): Execute PraisonAI agents from the command line
- [TL;DR](https://docs.praison.ai/docs/nocode/tldr.md): Quick command reference for PraisonAI
- [AgentOps](https://docs.praison.ai/docs/observability/agentops.md): Integrate AgentOps observability with PraisonAI agents
- [Arize Phoenix](https://docs.praison.ai/docs/observability/arize-phoenix.md): Integrate Arize Phoenix observability with PraisonAI agents
- [Atla](https://docs.praison.ai/docs/observability/atla.md): Integrate Atla observability with PraisonAI agents
- [Braintrust](https://docs.praison.ai/docs/observability/braintrust.md): Integrate Braintrust observability with PraisonAI agents
- [Datadog](https://docs.praison.ai/docs/observability/datadog.md): Integrate Datadog LLM Observability with PraisonAI agents
- [LangDB](https://docs.praison.ai/docs/observability/langdb.md): Integrate LangDB observability with PraisonAI agents
- [Langfuse](https://docs.praison.ai/docs/observability/langfuse.md): Track and analyze agent conversations with Langfuse v4 observability platform
- [LangSmith](https://docs.praison.ai/docs/observability/langsmith.md): Monitor and debug your AI agents with LangSmith traces
- [Langtrace](https://docs.praison.ai/docs/observability/langtrace.md): Integrate Langtrace observability with PraisonAI agents
- [LangWatch](https://docs.praison.ai/docs/observability/langwatch.md): Integrate LangWatch observability with PraisonAI agents
- [Maxim](https://docs.praison.ai/docs/observability/maxim.md): Integrate Maxim observability with PraisonAI agents
- [MLflow](https://docs.praison.ai/docs/observability/mlflow.md): Integrate MLflow observability with PraisonAI agents
- [Neatlogs](https://docs.praison.ai/docs/observability/neatlogs.md): Integrate Neatlogs observability with PraisonAI agents
- [OpenLIT](https://docs.praison.ai/docs/observability/openlit.md): Integrate OpenLIT observability with PraisonAI agents
- [Opik](https://docs.praison.ai/docs/observability/opik.md): Integrate Comet Opik observability with PraisonAI agents
- [Observability Overview](https://docs.praison.ai/docs/observability/overview.md): Comprehensive observability and tracing for PraisonAI agents with 20+ provider integrations
- [Patronus](https://docs.praison.ai/docs/observability/patronus.md): Integrate Patronus AI evaluation with PraisonAI agents
- [Portkey](https://docs.praison.ai/docs/observability/portkey.md): Integrate Portkey gateway and observability with PraisonAI agents
- [Traceloop](https://docs.praison.ai/docs/observability/traceloop.md): Integrate Traceloop observability with PraisonAI agents
- [TrueFoundry](https://docs.praison.ai/docs/observability/truefoundry.md): Integrate TrueFoundry observability with PraisonAI agents
- [Weave](https://docs.praison.ai/docs/observability/weave.md): Integrate W&B Weave observability with PraisonAI agents
- [Mistral OCR](https://docs.praison.ai/docs/ocr/mistral.md): Document and image OCR
- [OCR Overview](https://docs.praison.ai/docs/ocr/overview.md): Extract text from documents and images
- [Persistence Overview](https://docs.praison.ai/docs/persistence/overview.md): Database persistence for PraisonAI Agents
- [Quickstart](https://docs.praison.ai/docs/persistence/quickstart.md): Get started with database persistence in 5 minutes
- [Session Resume](https://docs.praison.ai/docs/persistence/session-resume.md): Continue conversations across sessions
- [Praison AI Agents Playground](https://docs.praison.ai/docs/playground.md): Interactive environment to test and run your AI Agents
- [Quick Start](https://docs.praison.ai/docs/quickstart.md): Create AI Agents and make them work for you in just a few lines of code.
- [Citations](https://docs.praison.ai/docs/rag/citations.md): Working with source attribution in RAG
- [RAG CLI](https://docs.praison.ai/docs/rag/cli.md): Command-line interface for RAG operations
- [RAG Quick Start](https://docs.praison.ai/docs/rag/features.md): Learn how to configure retrieval behavior for AI agents with knowledge bases.
- [RAG Module](https://docs.praison.ai/docs/rag/module.md): RAG pipeline API reference
- [RAG Overview](https://docs.praison.ai/docs/rag/overview.md): Retrieval Augmented Generation with PraisonAI
- [Quality-Based RAG Patterns](https://docs.praison.ai/docs/rag/quality.md): Advanced retrieval patterns with quality scoring, reranking, and confidence-based filtering
- [RAG Quickstart](https://docs.praison.ai/docs/rag/quickstart.md): Get started with RAG in 5 minutes
- [Retrieval Configuration](https://docs.praison.ai/docs/rag/retrieval.md): Configure retrieval behavior for AI agents with knowledge bases
- [Late Chunking](https://docs.praison.ai/docs/rag/strategies/late.md): Embed first, then split for better chunk embeddings
- [Chunking Strategies Overview](https://docs.praison.ai/docs/rag/strategies/overview.md): Understanding document chunking strategies for optimal RAG performance
- [Recursive Chunking](https://docs.praison.ai/docs/rag/strategies/recursive.md): Hierarchical document splitting using customizable rules
- [SDPM Chunking](https://docs.praison.ai/docs/rag/strategies/sdpm.md): Sentence-level chunking with semantic double-pass merging
- [Semantic Chunking](https://docs.praison.ai/docs/rag/strategies/semantic.md): Split documents based on meaning and topic coherence
- [Sentence Chunking](https://docs.praison.ai/docs/rag/strategies/sentence.md): Split documents at natural sentence boundaries
- [Token Chunking](https://docs.praison.ai/docs/rag/strategies/token.md): Fixed-size token-based document chunking
- [Image to Blog Generator](https://docs.praison.ai/docs/recipes/image-to-blog.md): Transform educational images into interactive WordPress blog posts
- [URL to Blog Generator](https://docs.praison.ai/docs/recipes/url-to-blog.md): Transform web content into interactive WordPress blog posts
- [Simplified API Reference](https://docs.praison.ai/docs/reference/simplified-api.md): Quick reference for all simplified helper functions in PraisonAI Agents
- [A2A Protocol](https://docs.praison.ai/docs/rust/a2a.md): Agent-to-Agent communication protocol
- [Agent](https://docs.praison.ai/docs/rust/agent.md): Core agent API for the PraisonAI Rust SDK
- [Agent Flow](https://docs.praison.ai/docs/rust/agent-flow.md): Visual workflow builder for agents
- [Agent Teams](https://docs.praison.ai/docs/rust/agent-team.md): Multiple agents working together on complex tasks
- [AGUI](https://docs.praison.ai/docs/rust/agui.md): Agent Graphical User Interface
- [Approval](https://docs.praison.ai/docs/rust/approval.md): Require human approval before sensitive actions
- [Audio](https://docs.praison.ai/docs/rust/audio.md): Voice input and output for agents
- [Auto Generation](https://docs.praison.ai/docs/rust/auto-generation.md): Automatically generate agent configurations
- [Autonomy](https://docs.praison.ai/docs/rust/autonomy.md): Control how independently your agent operates
- [Bots](https://docs.praison.ai/docs/rust/bots.md): Deploy agents as chat bots
- [Budget](https://docs.praison.ai/docs/rust/budget.md): Control agent costs with budget limits
- [Callbacks](https://docs.praison.ai/docs/rust/callbacks.md): React to streaming events for logging, UI updates, and integrations
- [Chunking](https://docs.praison.ai/docs/rust/chunking.md): Split documents into optimal chunks for RAG
- [Citations](https://docs.praison.ai/docs/rust/citations.md): Track sources in agent responses
- [CLI](https://docs.praison.ai/docs/rust/cli.md): Run agents from the command line
- [Code Execution](https://docs.praison.ai/docs/rust/code-execution.md): Let agents write and run code
- [Conditions](https://docs.praison.ai/docs/rust/conditions.md): Add conditional logic to agent workflows
- [Configuration](https://docs.praison.ai/docs/rust/configuration.md): Configure all aspects of your agent
- [Context Management](https://docs.praison.ai/docs/rust/context-management.md): Manage conversation context size
- [Criteria](https://docs.praison.ai/docs/rust/criteria.md): Evaluate agents against custom criteria
- [Database](https://docs.praison.ai/docs/rust/database.md): Storage backends for agent data in PraisonAI Rust SDK
- [Display](https://docs.praison.ai/docs/rust/display.md): Rich output formatting for agents
- [Documents](https://docs.praison.ai/docs/rust/documents.md): Process and analyze documents
- [Embedding](https://docs.praison.ai/docs/rust/embedding.md): Embed agents in your applications
- [Error Handling](https://docs.praison.ai/docs/rust/error-handling.md): Handle errors gracefully in your agents
- [Evaluation](https://docs.praison.ai/docs/rust/evaluation.md): Measure and improve agent performance
- [Events](https://docs.praison.ai/docs/rust/events.md): React to agent lifecycle events via streaming
- [Execution](https://docs.praison.ai/docs/rust/execution.md): Control how agents run - iterations, timeouts, and limits
- [Failover](https://docs.praison.ai/docs/rust/failover.md): Automatic fallback to backup LLM providers
- [Files](https://docs.praison.ai/docs/rust/files.md): File handling and session persistence in PraisonAI Rust SDK
- [Workflows](https://docs.praison.ai/docs/rust/flow.md): Build complex multi-step agent workflows
- [Gateway](https://docs.praison.ai/docs/rust/gateway.md): Unified API gateway for multiple LLM providers
- [Guardrails](https://docs.praison.ai/docs/rust/guardrails.md): Validation and safety checks for agent outputs in PraisonAI Rust SDK
- [Handoffs](https://docs.praison.ai/docs/rust/handoffs.md): Agent-to-agent task delegation in PraisonAI Rust SDK
- [Hooks](https://docs.praison.ai/docs/rust/hooks.md): Lifecycle hooks for intercepting agent behavior in PraisonAI Rust SDK
- [Image Generation](https://docs.praison.ai/docs/rust/image.md): Generate images with AI agents
- [Installation](https://docs.praison.ai/docs/rust/installation.md): Install the PraisonAI Rust SDK in your project
- [Knowledge](https://docs.praison.ai/docs/rust/knowledge.md): Give agents access to your documents and data
- [LLM Providers](https://docs.praison.ai/docs/rust/llm.md): Configure which AI model powers your agent
- [Loops](https://docs.praison.ai/docs/rust/loops.md): Repeat agent actions until a condition is met
- [MCP](https://docs.praison.ai/docs/rust/mcp.md): Connect agents to external tools via Model Context Protocol
- [Memory](https://docs.praison.ai/docs/rust/memory.md): Conversation memory and history management in PraisonAI Rust SDK
- [OCR](https://docs.praison.ai/docs/rust/ocr.md): Extract text from images
- [Optimizer](https://docs.praison.ai/docs/rust/optimizer.md): Optimization through evaluation and iteration in PraisonAI Rust SDK
- [Output](https://docs.praison.ai/docs/rust/output.md): Control how agent responses are displayed
- [Parallel Execution](https://docs.praison.ai/docs/rust/parallel-execution.md): Run multiple agents simultaneously
- [Planning](https://docs.praison.ai/docs/rust/planning.md): Let agents think and plan before acting
- [Plugins](https://docs.praison.ai/docs/rust/plugins.md): Extend agents with plugins
- [Policy](https://docs.praison.ai/docs/rust/policy.md): Define behavior policies for agents
- [Process](https://docs.praison.ai/docs/rust/process.md): Execution strategies for multi-agent workflows in PraisonAI Rust SDK
- [Prompts](https://docs.praison.ai/docs/rust/prompts.md): Manage and optimize agent prompts
- [Providers](https://docs.praison.ai/docs/rust/providers.md): LLM provider integrations
- [Query](https://docs.praison.ai/docs/rust/query.md): Query agents for information
- [Quick Start](https://docs.praison.ai/docs/rust/quickstart.md): Create your first AI agent in 5 minutes
- [RAG](https://docs.praison.ai/docs/rust/rag.md): Retrieval-Augmented Generation
- [Realtime](https://docs.praison.ai/docs/rust/realtime.md): Real-time agent interactions
- [Reflection](https://docs.praison.ai/docs/rust/reflection.md): Enable agents to review and improve their own work
- [Retrieval](https://docs.praison.ai/docs/rust/retrieval.md): Information retrieval strategies
- [Routing](https://docs.praison.ai/docs/rust/routing.md): Route requests between agents
- [Rust AI Agents Framework](https://docs.praison.ai/docs/rust/rust.md): PraisonAI Rust AI Agents Framework overview
- [Security](https://docs.praison.ai/docs/rust/security.md): Security best practices for agents
- [Sessions](https://docs.praison.ai/docs/rust/sessions.md): Persist conversation history across application restarts
- [Skills](https://docs.praison.ai/docs/rust/skills.md): Pre-built agent capabilities
- [Streaming](https://docs.praison.ai/docs/rust/streaming.md): Stream LLM responses in real-time for better user experience
- [Tasks](https://docs.praison.ai/docs/rust/tasks.md): Define structured tasks for agents
- [Telemetry](https://docs.praison.ai/docs/rust/telemetry.md): Monitor agent performance and usage
- [Templates](https://docs.praison.ai/docs/rust/templates.md): Reusable agent templates
- [Thinking](https://docs.praison.ai/docs/rust/thinking.md): Enable agent thinking and reasoning
- [Token Management](https://docs.praison.ai/docs/rust/token-management.md): Manage token usage and costs
- [Tools](https://docs.praison.ai/docs/rust/tools.md): Tool system for extending agent capabilities in PraisonAI Rust SDK
- [Tracing](https://docs.praison.ai/docs/rust/tracing.md): Observability and distributed tracing in PraisonAI Rust SDK
- [Vector Store](https://docs.praison.ai/docs/rust/vector-store.md): Store and search embeddings
- [Video](https://docs.praison.ai/docs/rust/video.md): Process and generate video content
- [Vision](https://docs.praison.ai/docs/rust/vision.md): Image understanding capabilities
- [Web](https://docs.praison.ai/docs/rust/web.md): Web browsing and interaction
- [Workflows](https://docs.praison.ai/docs/rust/workflows.md): Define multi-step agent workflows
- [SDK Reference](https://docs.praison.ai/docs/sdk/index.md): PraisonAI SDK documentation - Classes, modules, and functions
- [Adapters Module](https://docs.praison.ai/docs/sdk/praisonai/adapters.md): Knowledge base adapters for readers, vector stores, retrievers, and rerankers
- [AgentsGenerator Module](https://docs.praison.ai/docs/sdk/praisonai/agents_generator.md): Generate and run agents from YAML configuration
- [Async Jobs](https://docs.praison.ai/docs/sdk/praisonai/async-jobs.md): Server-based asynchronous job execution with persistence and webhooks
- [Auto Module](https://docs.praison.ai/docs/sdk/praisonai/auto.md): Automated agent generation from natural language prompts
- [Background Tasks](https://docs.praison.ai/docs/sdk/praisonai/background-tasks.md): Run recipes and agents as background tasks with progress tracking
- [ChainlitUI Module](https://docs.praison.ai/docs/sdk/praisonai/chainlit_ui.md): Chainlit-based user interface for PraisonAI
- [CLI Module](https://docs.praison.ai/docs/sdk/praisonai/cli.md): PraisonAI command-line interface and programmatic access
- [Async Jobs CLI](https://docs.praison.ai/docs/sdk/praisonai/cli/async-jobs-cli.md): CLI commands for managing async jobs
- [Background Tasks CLI](https://docs.praison.ai/docs/sdk/praisonai/cli/background-tasks-cli.md): CLI commands for managing background tasks
- [Scheduler CLI](https://docs.praison.ai/docs/sdk/praisonai/cli/scheduler-cli.md): CLI commands for scheduling periodic agent and recipe execution
- [Deploy Module](https://docs.praison.ai/docs/sdk/praisonai/deploy.md): Deployment utilities for PraisonAI agents
- [Embedding](https://docs.praison.ai/docs/sdk/praisonai/embedding.md): Generate text embeddings for semantic search and similarity
- [praisonai SDK](https://docs.praison.ai/docs/sdk/praisonai/index.md): PraisonAI wrapper package - CLI, auto-generation, and deployment
- [Index types](https://docs.praison.ai/docs/sdk/praisonai/index_types.md)
- [Knowledge Module](https://docs.praison.ai/docs/sdk/praisonai/knowledge.md): Knowledge base management with document loading, storage, and retrieval
- [Package Manager Module](https://docs.praison.ai/docs/sdk/praisonai/package-manager-module.md): Python API for pip-like package management with security defaults
- [Persistence Module](https://docs.praison.ai/docs/sdk/praisonai/persistence.md): Database persistence and session management for PraisonAI
- [Profiler Module](https://docs.praison.ai/docs/sdk/praisonai/profiler.md): Standardized profiling for performance monitoring
- [Query engine](https://docs.praison.ai/docs/sdk/praisonai/query_engine.md)
- [Readers Module](https://docs.praison.ai/docs/sdk/praisonai/readers.md): Document readers for loading files, directories, and URLs into the knowledge base
- [Recipe Registry Module](https://docs.praison.ai/docs/sdk/praisonai/recipe-registry-module.md): Python API for local and HTTP recipe registries
- [Reranker Module](https://docs.praison.ai/docs/sdk/praisonai/reranker.md): Document reranking implementations for improved search relevance
- [Retrieval Module](https://docs.praison.ai/docs/sdk/praisonai/retrieval.md): Document retrieval strategies with vector similarity and fusion
- [Scheduler Module](https://docs.praison.ai/docs/sdk/praisonai/scheduler.md): Deployment scheduling with provider-agnostic design
- [Templates Module](https://docs.praison.ai/docs/sdk/praisonai/templates.md): Programmatic access to PraisonAI templates
- [Train Module](https://docs.praison.ai/docs/sdk/praisonai/train.md): Training and fine-tuning capabilities for PraisonAI
- [Vector Store Module](https://docs.praison.ai/docs/sdk/praisonai/vector_store.md): Vector storage adapters for semantic search and document retrieval
- [Video Module](https://docs.praison.ai/docs/sdk/praisonai/video.md): AI-powered video editing with automatic filler removal, repetition detection, and smart editing
- [Agent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/agent.md): Documentation for the praisonaiagents.agent.agent module
- [ContextAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/context_agent.md): Advanced Context Engineering for AI coding assistants with PRP generation
- [DeepResearchAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/deep_research_agent.md): Automated deep research workflows using OpenAI and Gemini Deep Research APIs
- [Handoff Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/handoff.md): API reference for the agent handoff system
- [ImageAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/image_agent.md): Specialized agent for AI image generation with support for multiple image generation models
- [PromptExpanderAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/prompt_expander_agent.md): Expand short prompts into detailed, comprehensive prompts for better task execution
- [QueryRewriterAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/query_rewriter_agent.md): Transform user queries to improve retrieval quality in RAG applications
- [RouterAgent Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agent/router_agent.md): Intelligent agent that dynamically selects the optimal model based on task requirements
- [Agents Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agents/agents.md): Documentation for the praisonaiagents.agents.agents module
- [AutoRagAgent](https://docs.praison.ai/docs/sdk/praisonaiagents/agents/auto_rag_agent.md): Agent wrapper with automatic RAG retrieval decision
- [AutoAgents Module](https://docs.praison.ai/docs/sdk/praisonaiagents/agents/autoagents.md): Documentation for the praisonaiagents.agents.autoagents module
- [Approval Module](https://docs.praison.ai/docs/sdk/praisonaiagents/approval.md): Human-in-the-loop approval system for dangerous tool operations
- [Architecture Patterns](https://docs.praison.ai/docs/sdk/praisonaiagents/architecture.md): How to add new features using Protocols and ABCs
- [Background Module](https://docs.praison.ai/docs/sdk/praisonaiagents/background/background.md): Run agents in the background for long-running tasks
- [Checkpoints Module](https://docs.praison.ai/docs/sdk/praisonaiagents/checkpoints/checkpoints.md): File-level checkpointing for tracking and restoring agent changes
- [Compaction Module](https://docs.praison.ai/docs/sdk/praisonaiagents/compaction/compaction.md): Auto context compaction for long conversations
- [Config Module](https://docs.praison.ai/docs/sdk/praisonaiagents/config/index.md): Feature configuration classes for agent-centric API
- [Context Module](https://docs.praison.ai/docs/sdk/praisonaiagents/context/context.md): Fast context retrieval for codebase understanding
- [Display Module](https://docs.praison.ai/docs/sdk/praisonaiagents/display.md): Display and formatting utilities for agent interactions
- [Eval Module](https://docs.praison.ai/docs/sdk/praisonaiagents/eval/eval.md): Evaluation framework for testing agent performance
- [FlowDisplay Module](https://docs.praison.ai/docs/sdk/praisonaiagents/flow_display.md): Visual display of agent workflows with agents centered and tools on sides
- [Guardrails Module](https://docs.praison.ai/docs/sdk/praisonaiagents/guardrails/guardrails.md): Input/output validation and safety mechanisms for task outputs
- [Handoff Module](https://docs.praison.ai/docs/sdk/praisonaiagents/handoff/handoff.md): Documentation for the praisonaiagents.handoff module - Enable agent-to-agent task delegation
- [Hooks Module](https://docs.praison.ai/docs/sdk/praisonaiagents/hooks/hooks.md): Event hooks for intercepting and modifying agent behavior
- [praisonaiagents SDK](https://docs.praison.ai/docs/sdk/praisonaiagents/index.md): Documentation for the praisonaiagents package - Core agent framework
- [Index Types Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/index-module.md): Index types including vector, keyword (BM25), and hybrid indices
- [Knowledge Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/knowledge.md): Documentation for the praisonaiagents.knowledge module - Advanced knowledge management and retrieval
- [Knowledge Stack Protocols Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/protocols.md): Core protocols for the PraisonAI knowledge stack - readers, vector stores, retrievers, rerankers, indices, and query engines
- [Query Engine Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/query-engine-module.md): Query engines including default, sub-question decomposition, and summarization
- [Data Readers Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/readers-module.md): Document readers for ingesting files, URLs, and directories into the knowledge base
- [Rerankers Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/rerankers-module.md): Document reranking with LLM, cross-encoder, and keyword-based methods
- [Retrieval Strategies Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/retrieval-module.md): Advanced retrieval strategies including fusion, recursive, and auto-merge patterns
- [Vector Store Module](https://docs.praison.ai/docs/sdk/praisonaiagents/knowledge/vector-store-module.md): Vector storage backends for semantic search and retrieval
- [LLM Module](https://docs.praison.ai/docs/sdk/praisonaiagents/llm/llm.md): LLM client and model utilities for agent interactions
- [LSP Module](https://docs.praison.ai/docs/sdk/praisonaiagents/lsp/lsp.md): Language Server Protocol client for code intelligence
- [MCP Module](https://docs.praison.ai/docs/sdk/praisonaiagents/mcp/mcp.md): Documentation for the praisonaiagents.mcp module - Model Context Protocol integration
- [Memory Module](https://docs.praison.ai/docs/sdk/praisonaiagents/memory/memory.md): Documentation for the praisonaiagents.memory module - Multi-tiered memory system with quality scoring
- [Outputs Module](https://docs.praison.ai/docs/sdk/praisonaiagents/outputs.md): Data classes for task outputs and reflections
- [Planning Module](https://docs.praison.ai/docs/sdk/praisonaiagents/planning/planning.md): Planning mode for creating implementation plans before execution
- [Policy Module](https://docs.praison.ai/docs/sdk/praisonaiagents/policy/policy.md): Policy-based execution control for agents
- [Process Module](https://docs.praison.ai/docs/sdk/praisonaiagents/process/process.md): Advanced task orchestration and workflow management for multi-agent systems
- [Protocols](https://docs.praison.ai/docs/sdk/praisonaiagents/protocols.md): Lightweight interfaces for mocking, testing, and custom implementations
- [Session Module](https://docs.praison.ai/docs/sdk/praisonaiagents/session.md): Documentation for the praisonaiagents.session module - Stateful applications and remote agents
- [Skills Module](https://docs.praison.ai/docs/sdk/praisonaiagents/skills/skills.md): Agent skills system for reusable capabilities
- [Task Module](https://docs.praison.ai/docs/sdk/praisonaiagents/task/task.md): Advanced task management with guardrails, validation, and intelligent retry mechanisms
- [Telemetry Module](https://docs.praison.ai/docs/sdk/praisonaiagents/telemetry.md): Telemetry and observability functions for monitoring agent performance
- [Thinking Module](https://docs.praison.ai/docs/sdk/praisonaiagents/thinking/thinking.md): Extended thinking budgets for LLM reasoning
- [Tools Module](https://docs.praison.ai/docs/sdk/praisonaiagents/tools/tools.md): Tool system, decorators, and built-in tools for agents
- [UI Module](https://docs.praison.ai/docs/sdk/praisonaiagents/ui/ui.md): UI components for agent interfaces
- [WorkflowManager Module](https://docs.praison.ai/docs/sdk/praisonaiagents/workflows/workflow-manager.md): API reference for Workflow, Task, WorkflowContext, and StepResult classes
- [Workflows Module](https://docs.praison.ai/docs/sdk/praisonaiagents/workflows/workflows.md): Workflow and pipeline patterns for orchestrating agents and functions
- [API Call Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/APICallRecord.md): APICallRecord: Record of an API/HTTP call.
- [Agent Executor Interface • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/AgentExecutorInterface.md): AgentExecutorInterface: Abstract interface for agent execution.
- [Agent Scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/AgentScheduler.md): AgentScheduler: Scheduler for running PraisonAI agents periodically.
- [Agents Generator • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/AgentsGenerator.md): AgentsGenerator: Class reference for AgentsGenerator
- [Auto Generator • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/AutoGenerator.md): AutoGenerator: Auto-generates agents.yaml files from a topic description.
- [Base Auto Generator • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/BaseAutoGenerator.md): BaseAutoGenerator: Base class for auto-generators with shared functionality.
- [Chat Config • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/ChatConfig.md): ChatConfig: Configuration for the PraisonAI Chat server.
- [Cloud Deployer • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/CloudDeployer.md): CloudDeployer: A class for deploying a cloud-based application.
- [Cloud Deployer Adapter • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/CloudDeployerAdapter.md): CloudDeployerAdapter: Adapter for existing CloudDeployer to match interface.
- [Deployer Interface • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/DeployerInterface.md): DeployerInterface: Abstract interface for deployers to ensure provider compatibility.
- [Deployment Scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/DeploymentScheduler.md): DeploymentScheduler: Minimal deployment scheduler with provider-agnostic design.
- [Flow Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/FlowRecord.md): FlowRecord: Record of execution flow.
- [Import Profiler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/ImportProfiler.md): ImportProfiler: Context manager to profile imports.
- [Import Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/ImportRecord.md): ImportRecord: Record of a module import.
- [Memory Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/MemoryRecord.md): MemoryRecord: Record of memory usage.
- [Pattern Recommendation • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/PatternRecommendation.md): PatternRecommendation: LLM-based pattern recommendation with reasoning.
- [Praison Agent Executor • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/PraisonAgentExecutor.md): PraisonAgentExecutor: Executor for PraisonAI agents.
- [Profiler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/Profiler.md): Profiler: Centralized profiler for performance monitoring.
- [Role Details • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/RoleDetails.md): RoleDetails: Details for a single role/agent.
- [Schedule Parser • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/ScheduleParser.md): ScheduleParser: Parse schedule expressions into intervals.
- [Single Agent Structure • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/SingleAgentStructure.md): SingleAgentStructure: Structure for single-agent generation (Anthropic's 'start simple' principle).
- [Streaming Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/StreamingRecord.md): StreamingRecord: Record of streaming operation (LLM responses).
- [Streaming Tracker • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/StreamingTracker.md): StreamingTracker: Track streaming operations (LLM responses).
- [Task Details • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/TaskDetails.md): TaskDetails: Details for a workflow step.
- [Team Structure • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/TeamStructure.md): TeamStructure: Structure for multi-agent team.
- [Timing Record • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/TimingRecord.md): TimingRecord: Record of a single timing measurement.
- [Train Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/TrainModel.md): TrainModel: Class reference for TrainModel
- [Train Vision Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/TrainVisionModel.md): TrainVisionModel: Class reference for TrainVisionModel
- [Upload Vision Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/UploadVisionModel.md): UploadVisionModel: Class reference for UploadVisionModel
- [Validation Gate • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/ValidationGate.md): ValidationGate: Validation gate for prompt chaining workflows.
- [Workflow Agent Details • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/WorkflowAgentDetails.md): WorkflowAgentDetails: Details for a workflow agent.
- [Workflow Auto Generator • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/WorkflowAutoGenerator.md): WorkflowAutoGenerator: Auto-generates workflow.yaml files from a topic description.
- [Workflow Parallel Details • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/WorkflowParallelDetails.md): WorkflowParallelDetails: Details for a parallel step.
- [Workflow Route Details • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/WorkflowRouteDetails.md): WorkflowRouteDetails: Details for a route step.
- [Workflow Structure • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/classes/WorkflowStructure.md): WorkflowStructure: Structure for auto-generated workflow.
- [execute • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentExecutorInterface-execute.md): execute: Execute the agent with given task.
- [Execute Once • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentScheduler-execute_once.md): execute_once: Execute agent immediately (one-time execution).
- [Get Stats • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentScheduler-get_stats.md): get_stats: Get execution statistics.
- [start • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentScheduler-start.md): start: Start scheduled agent execution.
- [stop • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentScheduler-stop.md): stop: Stop the scheduler gracefully.
- [Generate Crew And Kickoff • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-generate_crew_and_kickoff.md): generate_crew_and_kickoff: Generates a crew of agents and initiates tasks based on the provided configuration.
- [Is Function Or Decorated • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-is_function_or_decorated.md): is_function_or_decorated: Checks if the given object is a function or has a __call__ method.
- [Load Tools From Module • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-load_tools_from_module.md): load_tools_from_module: Loads tools from a specified module path.
- [Load Tools From Module Class • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-load_tools_from_module_class.md): load_tools_from_module_class: Loads tools from a specified module path containing classes that inherit from BaseTool
- [Load Tools From Package • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-load_tools_from_package.md): load_tools_from_package: Loads tools from a specified package path containing modules with functions or classes.
- [Load Tools From Tools Py • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AgentsGenerator-load_tools_from_tools_py.md): load_tools_from_tools_py: Imports and returns all contents from tools.py file.
- [Convert And Save • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-convert_and_save.md): convert_and_save: Converts the provided JSON data into the desired YAML format and saves it to a file.
- [Discover Tools For Topic • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-discover_tools_for_topic.md): discover_tools_for_topic: Discover appropriate tools for the topic using intelligent matching.
- [generate • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-generate.md): generate: Generates a team structure for the specified topic.
- [Get User Content • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-get_user_content.md): get_user_content: Generates a prompt for the OpenAI API to generate a team structure.
- [Merge With Existing Agents • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-merge_with_existing_agents.md): merge_with_existing_agents: Merge existing agents.yaml with new auto-generated agents.
- [Recommend Pattern • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/AutoGenerator-recommend_pattern.md): recommend_pattern: Recommend the best workflow pattern based on task characteristics.
- [Analyze Complexity • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/BaseAutoGenerator-analyze_complexity.md): analyze_complexity: Analyze task complexity based on keywords.
- [Get Available Tools • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/BaseAutoGenerator-get_available_tools.md): get_available_tools: Return list of available tools for agent assignment.
- [Create API File • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/CloudDeployer-create_api_file.md): create_api_file: Creates an API file for the application.
- [Create Dockerfile • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/CloudDeployer-create_dockerfile.md): create_dockerfile: Creates a Dockerfile for the application.
- [Run Commands • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/CloudDeployer-run_commands.md): run_commands: Sets environment variables with fallback to .env values or defaults.
- [Set Environment Variables • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/CloudDeployer-set_environment_variables.md): set_environment_variables: Sets environment variables with fallback to .env values or defaults.
- [deploy • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/CloudDeployerAdapter-deploy.md): deploy: Execute deployment using CloudDeployer.
- [deploy • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/DeployerInterface-deploy.md): deploy: Execute deployment. Returns True on success, False on failure.
- [Deploy Once • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/DeploymentScheduler-deploy_once.md): deploy_once: Execute a single deployment immediately.
- [Set Deployer • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/DeploymentScheduler-set_deployer.md): set_deployer: Set custom deployer implementation.
- [start • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/DeploymentScheduler-start.md): start: Start scheduled deployment.
- [stop • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/DeploymentScheduler-stop.md): stop: Stop the scheduler.
- [Get Imports • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/ImportProfiler-get_imports.md): get_imports: Get recorded imports.
- [Get Slowest • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/ImportProfiler-get_slowest.md): get_slowest: Get N slowest imports.
- [execute • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/PraisonAgentExecutor-execute.md): execute: Execute the agent with given task.
- [API Call • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-api_call.md): api_call: Context manager for profiling API calls.
- [block • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-block.md): block: Context manager for profiling a block of code.
- [clear • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-clear.md): clear: Clear all profiling data.
- [cprofile • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-cprofile.md): cprofile: Context manager for cProfile profiling.
- [disable • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-disable.md): disable: Disable profiling.
- [enable • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-enable.md): enable: Enable profiling.
- [Export Flamegraph • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-export_flamegraph.md): export_flamegraph: Export flamegraph to SVG file.
- [Export Html • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-export_html.md): export_html: Export profiling data as HTML report.
- [Export Json • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-export_json.md): export_json: Export profiling data as JSON.
- [Export To File • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-export_to_file.md): export_to_file: Export profiling data to file.
- [Get API Calls • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_api_calls.md): get_api_calls: Get API call records.
- [Get Cprofile Stats • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_cprofile_stats.md): get_cprofile_stats: Get cProfile statistics.
- [Get Files Accessed • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_files_accessed.md): get_files_accessed: Get files accessed with counts.
- [Get Flamegraph Data • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_flamegraph_data.md): get_flamegraph_data: Generate flamegraph-compatible data from flow records.
- [Get Flow • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_flow.md): get_flow: Get flow records.
- [Get Imports • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_imports.md): get_imports: Get import records, optionally filtered by minimum duration.
- [Get Line Profile Data • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_line_profile_data.md): get_line_profile_data: Get line-level profiling data.
- [Get Memory Records • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_memory_records.md): get_memory_records: Get memory records.
- [Get Statistics • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_statistics.md): get_statistics: Get statistical analysis of timing data.
- [Get Streaming Records • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_streaming_records.md): get_streaming_records: Get streaming records.
- [Get Summary • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_summary.md): get_summary: Get profiling summary.
- [Get Timings • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-get_timings.md): get_timings: Get timing records, optionally filtered by category.
- [Is Enabled • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-is_enabled.md): is_enabled: Check if profiling is enabled.
- [memory • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-memory.md): memory: Context manager for profiling memory usage.
- [Memory Snapshot • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-memory_snapshot.md): memory_snapshot: Take a memory snapshot.
- [Record API Call • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_api_call.md): record_api_call: Record an API/HTTP call timing.
- [Record Flow • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_flow.md): record_flow: Record a flow step.
- [Record Import • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_import.md): record_import: Record an import timing.
- [Record Memory • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_memory.md): record_memory: Record memory usage.
- [Record Streaming • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_streaming.md): record_streaming: Record streaming metrics.
- [Record Timing • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-record_timing.md): record_timing: Record a timing measurement.
- [report • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-report.md): report: Generate and output profiling report.
- [Set Line Profile Data • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-set_line_profile_data.md): set_line_profile_data: Store line-level profiling data.
- [streaming • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-streaming.md): streaming: Context manager for profiling streaming operations.
- [Streaming Async • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/Profiler-streaming_async.md): streaming_async: Async context manager for profiling streaming operations.
- [parse • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/ScheduleParser-parse.md): parse: Parse schedule expression and return interval in seconds.
- [chunk • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-chunk.md): chunk: Record a chunk received.
- [Elapsed Ms • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-elapsed_ms.md): elapsed_ms: Get elapsed time in ms.
- [end • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-end.md): end: End tracking and record to Profiler.
- [First Token • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-first_token.md): first_token: Mark time to first token.
- [start • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-start.md): start: Start tracking.
- [Ttft Ms • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/StreamingTracker-ttft_ms.md): ttft_ms: Get time to first token in ms.
- [Check Gpu • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-check_gpu.md): check_gpu: API reference for TrainModel.check_gpu
- [Check Ram • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-check_ram.md): check_ram: API reference for TrainModel.check_ram
- [Create And Push Ollama Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-create_and_push_ollama_model.md): create_and_push_ollama_model: API reference for TrainModel.create_and_push_ollama_model
- [inference • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-inference.md): inference: API reference for TrainModel.inference
- [Load Config • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-load_config.md): load_config: API reference for TrainModel.load_config
- [Load Datasets • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-load_datasets.md): load_datasets: API reference for TrainModel.load_datasets
- [Load Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-load_model.md): load_model: API reference for TrainModel.load_model
- [Prepare Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-prepare_model.md): prepare_model: API reference for TrainModel.prepare_model
- [Prepare Modelfile Content • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-prepare_modelfile_content.md): prepare_modelfile_content: API reference for TrainModel.prepare_modelfile_content
- [Print System Info • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-print_system_info.md): print_system_info: API reference for TrainModel.print_system_info
- [Process Dataset • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-process_dataset.md): process_dataset: API reference for TrainModel.process_dataset
- [Push Model Gguf • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-push_model_gguf.md): push_model_gguf: API reference for TrainModel.push_model_gguf
- [run • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-run.md): run: API reference for TrainModel.run
- [Save Model Gguf • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-save_model_gguf.md): save_model_gguf: API reference for TrainModel.save_model_gguf
- [Save Model Merged • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-save_model_merged.md): save_model_merged: API reference for TrainModel.save_model_merged
- [Tokenize Dataset • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-tokenize_dataset.md): tokenize_dataset: API reference for TrainModel.tokenize_dataset
- [Train Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainModel-train_model.md): train_model: API reference for TrainModel.train_model
- [Check Gpu • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-check_gpu.md): check_gpu: API reference for TrainVisionModel.check_gpu
- [Check Ram • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-check_ram.md): check_ram: API reference for TrainVisionModel.check_ram
- [Convert Sample • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-convert_sample.md): convert_sample: API reference for TrainVisionModel.convert_sample
- [Create And Push Ollama Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-create_and_push_ollama_model.md): create_and_push_ollama_model: API reference for TrainVisionModel.create_and_push_ollama_model
- [Load Config • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-load_config.md): load_config: API reference for TrainVisionModel.load_config
- [Load Datasets • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-load_datasets.md): load_datasets: API reference for TrainVisionModel.load_datasets
- [Prepare Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-prepare_model.md): prepare_model: API reference for TrainVisionModel.prepare_model
- [Prepare Modelfile Content • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-prepare_modelfile_content.md): prepare_modelfile_content: API reference for TrainVisionModel.prepare_modelfile_content
- [Print System Info • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-print_system_info.md): print_system_info: API reference for TrainVisionModel.print_system_info
- [Push Model Gguf • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-push_model_gguf.md): push_model_gguf: API reference for TrainVisionModel.push_model_gguf
- [run • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-run.md): run: API reference for TrainVisionModel.run
- [Save Model Gguf • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-save_model_gguf.md): save_model_gguf: API reference for TrainVisionModel.save_model_gguf
- [Save Model Merged • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-save_model_merged.md): save_model_merged: API reference for TrainVisionModel.save_model_merged
- [Train Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-train_model.md): train_model: API reference for TrainVisionModel.train_model
- [Vision Inference • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/TrainVisionModel-vision_inference.md): vision_inference: API reference for TrainVisionModel.vision_inference
- [Create And Push Ollama Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-create_and_push_ollama_model.md): create_and_push_ollama_model: Create and push model to Ollama.
- [Load Config • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-load_config.md): load_config: Load configuration from yaml file.
- [Prepare Model • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-prepare_model.md): prepare_model: Load the trained model for uploading.
- [Prepare Modelfile Content • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-prepare_modelfile_content.md): prepare_modelfile_content: Prepare Ollama modelfile content using Llama 3.2 vision template.
- [Push Model Gguf • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-push_model_gguf.md): push_model_gguf: Push model in GGUF format to Hugging Face Hub.
- [Save Model Merged • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-save_model_merged.md): save_model_merged: Save merged model to Hugging Face Hub.
- [upload • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/UploadVisionModel-upload.md): upload: Upload the model to specified targets.
- [generate • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/WorkflowAutoGenerator-generate.md): generate: Generate a workflow YAML file.
- [Merge With Existing Workflow • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/WorkflowAutoGenerator-merge_with_existing_workflow.md): merge_with_existing_workflow: Merge new workflow data with existing workflow file.
- [Recommend Pattern • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/WorkflowAutoGenerator-recommend_pattern.md): recommend_pattern: Recommend the best workflow pattern based on task characteristics.
- [Recommend Pattern LLM • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/WorkflowAutoGenerator-recommend_pattern_llm.md): recommend_pattern_llm: Use LLM to recommend the best workflow pattern with reasoning.
- [agent • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/agent.md): agent: API reference for agent
- [Auth Callback • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/auth_callback.md): auth_callback: API reference for auth_callback
- [Check Module Available • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/check_module_available.md): check_module_available: Check if a module is available without importing it.
- [Create Agent Scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/create_agent_scheduler.md): create_agent_scheduler: Factory function to create agent scheduler.
- [Create Scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/create_scheduler.md): create_scheduler: Factory function to create scheduler for different providers.
- [Disable Crewai Telemetry • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/disable_crewai_telemetry.md): disable_crewai_telemetry: API reference for disable_crewai_telemetry
- [embedding • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/embedding.md): embedding: Get embedding vector for text.
- [Formatting Prompts Func • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/formatting_prompts_func.md): formatting_prompts_func: Converts each example's conversation into a single plain-text prompt.
- [Get All Available Tools • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/get_all_available_tools.md): get_all_available_tools: Get all available tools organized by category.
- [Get Registered Agents • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/get_registered_agents.md): get_registered_agents: Get all registered agents.
- [Get Tools For Task • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/get_tools_for_task.md): get_tools_for_task: Analyze a task description and return appropriate tools.
- [main • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/main.md): main: API reference for main
- [noop • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/noop.md): noop: API reference for noop
- [On Chat Resume • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/on_chat_resume.md): on_chat_resume: API reference for on_chat_resume
- [On Modify • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/on_modify.md): on_modify: API reference for on_modify
- [On Run • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/on_run.md): on_run: API reference for on_run
- [On Settings Update • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/on_settings_update.md): on_settings_update: Handle updates to the ChatSettings form.
- [output • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/output.md): output: API reference for output
- [profile • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile.md): profile: Decorator to profile a function.
- [Profile API • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_api.md): profile_api: Decorator to profile a function as an API call.
- [Profile API Async • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_api_async.md): profile_api_async: Decorator to profile an async function as an API call.
- [Profile Async • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_async.md): profile_async: Decorator to profile an async function.
- [Profile Detailed • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_detailed.md): profile_detailed: Decorator for detailed cProfile profiling.
- [Profile Imports • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_imports.md): profile_imports: Create an import profiler context manager.
- [Profile Lines • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/profile_lines.md): profile_lines: Decorator for line-level profiling.
- [Recommend Agent Count • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/recommend_agent_count.md): recommend_agent_count: Recommend the optimal number of agents based on task complexity.
- [Run Agents • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/run_agents.md): run_agents: Runs the agents and returns the result.
- [Safe Format • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/safe_format.md): safe_format: Safely format a string template, preserving JSON-like curly braces.
- [Sanitize Agent Name For Autogen V4 • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/sanitize_agent_name_for_autogen_v4.md): sanitize_agent_name_for_autogen_v4: Sanitize agent name to be a valid Python identifier for AutoGen v0.4.
- [Set Profiles • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/set_profiles.md): set_profiles: API reference for set_profiles
- [Start Chat • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/start_chat.md): start_chat: API reference for start_chat
- [Start Chat Server • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/start_chat_server.md): start_chat_server: Start the PraisonAI Chat server.
- [task • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/task.md): task: API reference for task
- [Time Import • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/time_import.md): time_import: Time how long it takes to import a module.
- [Tokenize Function • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/functions/tokenize_function.md): tokenize_function: Tokenizes a batch of text prompts with padding and truncation enabled.
- [acp • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/acp.md): Agent Client Protocol (ACP) support for PraisonAI.
- [adapters • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/adapters.md): PraisonAI Adapters - Implementations for core protocols.
- [Agent Scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/agent_scheduler.md): Agent Scheduler for PraisonAI - Run agents periodically 24/7.
- [Agents Generator • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/agents_generator.md): Module reference for agents_generator
- [app • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/app.md): AgentOS module for production deployment of AI agents.
- [auto • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/auto.md): Auto-generation module for PraisonAI agents and workflows.
- [bots • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/bots.md): Bot implementations for PraisonAI.
- [browser • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/browser.md): Browser automation package for PraisonAI.
- [capabilities • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/capabilities.md): PraisonAI Capabilities Module
- [Chainlit Ui • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/chainlit_ui.md): Module reference for chainlit_ui
- [chat • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/chat.md): PraisonAI Chat Module
- [CLI • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/cli.md): PraisonAI CLI Package
- [code • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/code.md): PraisonAI Code - AI-powered code editing tools.
- [context • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/context.md): Dynamic Context Discovery for PraisonAI.
- [DB • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/db.md): PraisonAI Database - Ultra-simple persistence for agents.
- [deploy • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/deploy.md): Module reference for deploy
- [Docs Runner • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/docs_runner.md): Docs Code Execution System for PraisonAI.
- [endpoints • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/endpoints.md): Unified Endpoints Module
- [gateway • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/gateway.md): Gateway implementations for PraisonAI.
- [inc • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/inc.md): Module reference for inc
- [integrations • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/integrations.md): PraisonAI Integrations - External CLI tool integrations.
- [jobs • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/jobs.md): Async Jobs API for PraisonAI.
- [LLM • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/llm.md): LLM Module for PraisonAI CLI Wrapper.
- [MCP Server • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/mcp_server.md): PraisonAI MCP Server Module
- [persistence • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/persistence.md): PraisonAI Persistence Layer
- [profiler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/profiler.md): PraisonAI Profiler Module
- [recipe • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/recipe.md): PraisonAI Recipe Module
- [replay • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/replay.md): Replay Module for PraisonAI.
- [sandbox • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/sandbox.md): Sandbox implementations for PraisonAI.
- [scheduler • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/scheduler.md): DEPRECATED: This module is deprecated. Use praisonai.scheduler instead.
- [standardise • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/standardise.md): PraisonAI Standardise Module
- [Suite Runner • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/suite_runner.md): Suite Runner - Unified execution engine for examples and docs.
- [templates • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/templates.md): PraisonAI Templates Module
- [tools • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/tools.md): PraisonAI CLI Tools.
- [train • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/train.md): This script finetunes a model using Unsloth's fast training framework.
- [Train Vision • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/train_vision.md): This script finetunes a vision language model using Unsloth's fast training framework.
- [Upload Vision • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/upload_vision.md): This script handles uploading trained vision models to Hugging Face and Ollama.
- [version • AI Agents Framework](https://docs.praison.ai/docs/sdk/reference/praisonai/modules/version.md): Module reference for version
- [After Agent Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AfterAgentInput.md): AfterAgentInput: Input for AfterAgent hooks.
- [After LLM Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AfterLLMInput.md): AfterLLMInput: Input for AfterLLM hooks.
- [After Tool Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AfterToolInput.md): AfterToolInput: Input for AfterTool hooks.
- [Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Agent.md): Agent: Class reference for Agent
- [Agent App Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AgentAppConfig.md): AgentAppConfig: Configuration for AgentApp.
- [Agent Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AgentConfig.md): AgentConfig: Class reference for AgentConfig
- [Agent OS Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AgentOSProtocol.md): AgentOSProtocol: Protocol for AgentOS implementations.
- [Agent Team • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AgentTeam.md): AgentTeam: Multi-agent coordinator that manages and delegates work to multiple agents.
- [Approval Decision • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ApprovalDecision.md): ApprovalDecision: Result of an approval request
- [Array Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ArrayMode.md): ArrayMode: Array parsing modes.
- [Async Middleware Chain • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AsyncMiddlewareChain.md): AsyncMiddlewareChain: Asynchronous middleware chain executor.
- [Audio Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AudioAgent.md): AudioAgent: A specialized agent for audio processing using AI models.
- [Audio Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AudioConfig.md): AudioConfig: Configuration for audio processing settings.
- [Auth Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AuthProfile.md): AuthProfile: Authentication profile for an LLM provider.
- [Auto Agents • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AutoAgents.md): AutoAgents: Class reference for AutoAgents
- [Auto Agents Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AutoAgentsConfig.md): AutoAgentsConfig: Class reference for AutoAgentsConfig
- [Auto RAG Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AutoRagAgent.md): AutoRagAgent: Agent wrapper with automatic RAG retrieval decision.
- [Auto RAG Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AutoRagConfig.md): AutoRagConfig: Configuration for AutoRagAgent.
- [Autonomy Level • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/AutonomyLevel.md): AutonomyLevel: Autonomy levels for agent behavior.
- [Base Verification Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BaseVerificationHook.md): BaseVerificationHook: Base class for verification hooks.
- [Before Agent Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BeforeAgentInput.md): BeforeAgentInput: Input for BeforeAgent hooks.
- [Before LLM Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BeforeLLMInput.md): BeforeLLMInput: Input for BeforeLLM hooks.
- [Before Tool Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BeforeToolInput.md): BeforeToolInput: Input for BeforeTool hooks.
- [Bot Channel • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotChannel.md): BotChannel: Represents a channel/chat in a messaging platform.
- [Bot Channel Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotChannelProtocol.md): BotChannelProtocol: Protocol for bot channel representation.
- [Bot Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotConfig.md): BotConfig: Configuration for messaging bots.
- [Bot Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotMessage.md): BotMessage: Represents a message in a messaging platform.
- [Bot Message Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotMessageProtocol.md): BotMessageProtocol: Protocol for bot message handling.
- [Bot Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotProtocol.md): BotProtocol: Protocol for messaging bot implementations.
- [Bot User • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotUser.md): BotUser: Represents a user in a messaging platform.
- [Bot User Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BotUserProtocol.md): BotUserProtocol: Protocol for bot user representation.
- [Budget Allocation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/BudgetAllocation.md): BudgetAllocation: Token budget allocation across segments.
- [Caching Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CachingConfig.md): CachingConfig: Configuration for caching behavior.
- [Chunking • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Chunking.md): Chunking: A unified class for text chunking with various chunking strategies.
- [Chunking Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ChunkingStrategy.md): ChunkingStrategy: Knowledge chunking strategies.
- [Citation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Citation.md): Citation: Source citation for RAG answers.
- [Citations Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CitationsMode.md): CitationsMode: How to include citations in responses.
- [Code Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CodeAgent.md): CodeAgent: Agent for code generation, execution, review, and refactoring.
- [Code Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CodeConfig.md): CodeConfig: Configuration for CodeAgent.
- [Code Execution Step • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CodeExecutionStep.md): CodeExecutionStep: Represents a code execution step during research.
- [Command Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CommandHook.md): CommandHook: Hook that executes a shell command.
- [Command Verification Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CommandVerificationHook.md): CommandVerificationHook: Verification hook that runs a shell command.
- [Condition Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ConditionProtocol.md): ConditionProtocol: Minimal Protocol for condition implementations.
- [Config Validation Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ConfigValidationError.md): ConfigValidationError: Raised when config file has validation errors.
- [Context Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextAgent.md): ContextAgent: Advanced Context Engineering Agent - Comprehensive context generation for AI coding assistants.
- [Context Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextConfig.md): ContextConfig: Complete context management configuration.
- [Context Ledger • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextLedger.md): ContextLedger: Tracks token usage across context segments.
- [Context Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextManager.md): ContextManager: Unified facade for context management.
- [Context Optimizer • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextOptimizer.md): ContextOptimizer: Protocol for context optimization strategies.
- [Context Pack • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextPack.md): ContextPack: Context pack for orchestrator pattern - retrieval without generation.
- [Context Policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextPolicy.md): ContextPolicy: Policy for context sharing during agent handoffs.
- [Context Segment • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextSegment.md): ContextSegment: Segments that contribute to context.
- [Context Share Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextShareMode.md): ContextShareMode: How context is shared between agents.
- [Context Snapshot • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ContextSnapshot.md): ContextSnapshot: A snapshot of the current context state.
- [Custom Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/CustomMemory.md): CustomMemory: Class reference for CustomMemory
- [Deep Research Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/DeepResearchAgent.md): DeepResearchAgent: Agent for performing deep research using multiple provider APIs.
- [Deep Research Response • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/DeepResearchResponse.md): DeepResearchResponse: Complete response from a Deep Research query.
- [Defaults Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/DefaultsConfig.md): DefaultsConfig: Default configuration for Agent parameters.
- [Dict Condition • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/DictCondition.md): DictCondition: Dict-based condition evaluator for routing decisions.
- [Embedding Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EmbeddingAgent.md): EmbeddingAgent: A specialized agent for generating text embeddings.
- [Embedding Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EmbeddingConfig.md): EmbeddingConfig: Configuration for embedding settings.
- [Embedding Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EmbeddingResult.md): EmbeddingResult: Result from embedding generation.
- [Estimation Metrics • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EstimationMetrics.md): EstimationMetrics: Metrics for token estimation accuracy.
- [Estimation Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EstimationMode.md): EstimationMode: Token estimation modes.
- [Event Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/EventType.md): EventType: Standard gateway event types.
- [Execution Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ExecutionConfig.md): ExecutionConfig: Configuration for agent execution limits.
- [Execution Preset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ExecutionPreset.md): ExecutionPreset: Execution mode presets.
- [Expand Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ExpandResult.md): ExpandResult: Result of a prompt expansion operation.
- [Expand Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ExpandStrategy.md): ExpandStrategy: Enumeration of available prompt expansion strategies.
- [Expression Condition • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ExpressionCondition.md): ExpressionCondition: String-based condition evaluator for expressions like 'score  80'.
- [Failover Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FailoverConfig.md): FailoverConfig: Configuration for failover behavior.
- [Failover Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FailoverManager.md): FailoverManager: Manages failover between multiple LLM auth profiles.
- [Failover Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FailoverProtocol.md): FailoverProtocol: Protocol for failover management.
- [File Search Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FileSearchCall.md): FileSearchCall: Represents a file search call (Gemini-specific).
- [Flow Display • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FlowDisplay.md): FlowDisplay: Displays agent workflow with agents centered and tools on sides.
- [Function Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/FunctionHook.md): FunctionHook: Hook that executes a Python function.
- [Gateway Client Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewayClientProtocol.md): GatewayClientProtocol: Protocol for gateway client connections.
- [Gateway Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewayConfig.md): GatewayConfig: Configuration for the gateway server.
- [Gateway Event • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewayEvent.md): GatewayEvent: A gateway event with metadata.
- [Gateway Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewayMessage.md): GatewayMessage: A message sent through the gateway.
- [Gateway Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewayProtocol.md): GatewayProtocol: Protocol for gateway/control plane implementations.
- [Gateway Session Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GatewaySessionProtocol.md): GatewaySessionProtocol: Protocol for gateway session management.
- [Guardrail Action • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GuardrailAction.md): GuardrailAction: Action to take when guardrail fails.
- [Guardrail Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/GuardrailConfig.md): GuardrailConfig: Configuration for guardrails and safety validation.
- [Handoff • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Handoff.md): Handoff: Represents a handoff configuration for delegating tasks to another agent.
- [Handoff Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffConfig.md): HandoffConfig: Unified configuration for handoff behavior.
- [Handoff Cycle Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffCycleError.md): HandoffCycleError: Raised when a cycle is detected in handoff chain.
- [Handoff Depth Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffDepthError.md): HandoffDepthError: Raised when max handoff depth is exceeded.
- [Handoff Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffError.md): HandoffError: Base exception for handoff errors.
- [Handoff Input Data • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffInputData.md): HandoffInputData: Data passed to a handoff target agent.
- [Handoff Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffResult.md): HandoffResult: Result of a handoff operation.
- [Handoff Timeout Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HandoffTimeoutError.md): HandoffTimeoutError: Raised when handoff times out.
- [Hook Definition • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookDefinition.md): HookDefinition: Hook definition with matcher and configuration.
- [Hook Event • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookEvent.md): HookEvent: Event names for the hook system.
- [Hook Execution Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookExecutionResult.md): HookExecutionResult: Result of executing a single hook.
- [Hook Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookInput.md): HookInput: Base hook input - common fields for all events.
- [Hook Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookOutput.md): HookOutput: Base hook output - common fields for all events.
- [Hook Registry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookRegistry.md): HookRegistry: Registry for managing hooks.
- [Hook Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookResult.md): HookResult: Result from a hook execution.
- [Hook Runner • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HookRunner.md): HookRunner: Executes hooks from a registry.
- [Hooks Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/HooksConfig.md): HooksConfig: Configuration for agent hooks/callbacks.
- [Image Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ImageAgent.md): ImageAgent: A specialized agent for generating images using AI models.
- [Image Generation Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ImageGenerationConfig.md): ImageGenerationConfig: Configuration for image generation settings.
- [Invocation Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/InvocationContext.md): InvocationContext: Context passed through middleware chain.
- [Knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Knowledge.md): Knowledge: Class reference for Knowledge
- [Knowledge Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/KnowledgeConfig.md): KnowledgeConfig: Configuration for RAG and knowledge retrieval.
- [Learn Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/LearnConfig.md): LearnConfig: Configuration for continuous learning within memory system.
- [Learn Scope • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/LearnScope.md): LearnScope: Scope for learning data visibility.
- [MCP • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MCP.md): MCP: Model Context Protocol (MCP) integration for PraisonAI Agents.
- [MCP Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MCPCall.md): MCPCall: Represents an MCP tool call during research.
- [MCP Tool Runner • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MCPToolRunner.md): MCPToolRunner: A dedicated thread for running MCP operations.
- [Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Memory.md): Memory: A single-file memory manager covering:
- [Memory Backend • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MemoryBackend.md): MemoryBackend: Memory storage backends.
- [Memory Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MemoryConfig.md): MemoryConfig: Configuration for agent memory and session management.
- [Message Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MessageType.md): MessageType: Types of bot messages.
- [Middleware Chain • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MiddlewareChain.md): MiddlewareChain: Synchronous middleware chain executor.
- [Middleware Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MiddlewareManager.md): MiddlewareManager: Manages middleware for an agent.
- [Model Request • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ModelRequest.md): ModelRequest: Request data for model calls.
- [Model Response • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ModelResponse.md): ModelResponse: Response data from model calls.
- [Mongo DB Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MongoDBMemory.md): MongoDBMemory: MongoDB-based memory store for knowledge management.
- [Monitor Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MonitorConfig.md): MonitorConfig: Configuration for context monitoring.
- [Multi Agent Context Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentContextManager.md): MultiAgentContextManager: Context manager for multi-agent orchestration.
- [Multi Agent Execution Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentExecutionConfig.md): MultiAgentExecutionConfig: Configuration for multi-agent execution limits.
- [Multi Agent Hooks Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentHooksConfig.md): MultiAgentHooksConfig: Configuration for multi-agent orchestration hooks/callbacks.
- [Multi Agent Memory Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentMemoryConfig.md): MultiAgentMemoryConfig: Configuration for multi-agent shared memory.
- [Multi Agent Output Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentOutputConfig.md): MultiAgentOutputConfig: Configuration for multi-agent output behavior.
- [Multi Agent Planning Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/MultiAgentPlanningConfig.md): MultiAgentPlanningConfig: Configuration for multi-agent planning mode.
- [O C R Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OCRAgent.md): OCRAgent: A specialized agent for OCR (Optical Character Recognition).
- [O C R Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OCRConfig.md): OCRConfig: Configuration for OCR settings.
- [Observability Adapter • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ObservabilityAdapter.md): ObservabilityAdapter: Protocol for observability adapters.
- [On Error Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OnErrorInput.md): OnErrorInput: Input for OnError hooks.
- [On Retry Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OnRetryInput.md): OnRetryInput: Input for OnRetry hooks.
- [Optimization Event • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OptimizationEvent.md): OptimizationEvent: Record of an optimization event.
- [Optimization Event Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OptimizationEventType.md): OptimizationEventType: Types of optimization events.
- [Optimization Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OptimizationResult.md): OptimizationResult: Result of context optimization.
- [Optimizer Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OptimizerStrategy.md): OptimizerStrategy: Context optimization strategies.
- [Output Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OutputConfig.md): OutputConfig: Configuration for agent output behavior.
- [Output Preset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/OutputPreset.md): OutputPreset: Output style presets.
- [Per Tool Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PerToolBudget.md): PerToolBudget: Per-tool token budget configuration.
- [Permission Allowlist • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PermissionAllowlist.md): PermissionAllowlist: Persistent permission allowlist for tools.
- [Planning Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PlanningConfig.md): PlanningConfig: Configuration for planning mode.
- [Plugins Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PluginsConfig.md): PluginsConfig: Configuration for the plugin system.
- [Praison Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PraisonConfig.md): PraisonConfig: Root configuration for PraisonAI Agents.
- [Prompt Expander Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/PromptExpanderAgent.md): PromptExpanderAgent: Agent for expanding short prompts into detailed, comprehensive prompts.
- [Provider • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Provider.md): Provider: Supported Deep Research providers.
- [Provider Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ProviderStatus.md): ProviderStatus: Status of an LLM provider.
- [Query Rewriter Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/QueryRewriterAgent.md): QueryRewriterAgent: Agent for rewriting queries to improve retrieval quality in RAG applications.
- [RAG Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RAGConfig.md): RAGConfig: Configuration for RAG pipeline.
- [RAG Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RAGResult.md): RAGResult: Result from a RAG query.
- [Realtime Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RealtimeAgent.md): RealtimeAgent: Agent for real-time voice conversations using OpenAI Realtime API.
- [Realtime Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RealtimeConfig.md): RealtimeConfig: Configuration for RealtimeAgent.
- [Reasoning Step • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ReasoningStep.md): ReasoningStep: Represents a reasoning step in the research process.
- [Reflection Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ReflectionConfig.md): ReflectionConfig: Configuration for self-reflection.
- [Reflection Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ReflectionOutput.md): ReflectionOutput: Class reference for ReflectionOutput
- [Resource Limits • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ResourceLimits.md): ResourceLimits: Resource limits for sandbox execution.
- [Retrieval Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RetrievalConfig.md): RetrievalConfig: Unified configuration for Agent retrieval behavior.
- [Retrieval Policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RetrievalPolicy.md): RetrievalPolicy: Policy for when to perform retrieval.
- [Retrieval Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RetrievalStrategy.md): RetrievalStrategy: Available retrieval strategies for RAG.
- [Rewrite Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RewriteResult.md): RewriteResult: Result of a query rewriting operation.
- [Rewrite Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RewriteStrategy.md): RewriteStrategy: Enumeration of available query rewriting strategies.
- [Routing Condition Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/RoutingConditionProtocol.md): RoutingConditionProtocol: Extended Protocol for conditions that support routing to targets.
- [Sandbox Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SandboxConfig.md): SandboxConfig: Configuration for sandbox execution.
- [Sandbox Protocol • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SandboxProtocol.md): SandboxProtocol: Protocol for sandbox implementations.
- [Sandbox Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SandboxResult.md): SandboxResult: Result of a sandbox execution.
- [Sandbox Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SandboxStatus.md): SandboxStatus: Status of a sandbox execution.
- [Security Policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SecurityPolicy.md): SecurityPolicy: Security policy for sandbox execution.
- [Session • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Session.md): Session: A simple wrapper around PraisonAI's existing stateful capabilities.
- [Session Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SessionConfig.md): SessionConfig: Configuration for gateway sessions.
- [Session Deduplication Cache • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SessionDeduplicationCache.md): SessionDeduplicationCache: Thread-safe session-level content deduplication cache.
- [Session End Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SessionEndInput.md): SessionEndInput: Input for SessionEnd hooks.
- [Session Start Input • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SessionStartInput.md): SessionStartInput: Input for SessionStart hooks.
- [Skills Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SkillsConfig.md): SkillsConfig: Configuration for agent skills.
- [Snapshot Hook Data • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/SnapshotHookData.md): SnapshotHookData: Data captured at LLM call boundary for exact snapshot.
- [Span • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Span.md): Span: Represents a span in a trace.
- [Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Task.md): Task: A unit of work that can be executed by an Agent or a custom handler function.
- [Task Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/TaskConfig.md): TaskConfig: Class reference for TaskConfig
- [Task Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/TaskOutput.md): TaskOutput: Class reference for TaskOutput
- [Task Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/TaskStatus.md): TaskStatus: Enumeration for task status values to ensure consistency
- [Template Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/TemplateConfig.md): TemplateConfig: Configuration for prompt templates.
- [Token Estimator • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/TokenEstimator.md): TokenEstimator: Protocol for token estimation.
- [Tool Permission • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ToolPermission.md): ToolPermission: Permission entry for a tool.
- [Tool Request • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ToolRequest.md): ToolRequest: Request data for tool calls.
- [Tool Response • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ToolResponse.md): ToolResponse: Response data from tool calls.
- [Tool Share Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/ToolShareMode.md): ToolShareMode: How tools are shared between agents.
- [Trace • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/Trace.md): Trace: Represents a complete trace.
- [Verification Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VerificationHook.md): VerificationHook: Protocol for verification hooks.
- [Verification Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VerificationResult.md): VerificationResult: Result of a verification hook execution.
- [Video Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VideoAgent.md): VideoAgent: A specialized agent for generating videos using AI models.
- [Video Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VideoConfig.md): VideoConfig: Configuration for video generation settings.
- [Vision Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VisionAgent.md): VisionAgent: A specialized agent for image analysis and understanding.
- [Vision Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/VisionConfig.md): VisionConfig: Configuration for vision processing settings.
- [Web Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/WebConfig.md): WebConfig: Configuration for web search and fetch capabilities.
- [Web Search Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/WebSearchCall.md): WebSearchCall: Represents a web search call made during research.
- [Web Search Provider • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/WebSearchProvider.md): WebSearchProvider: Web search providers.
- [Handoff Filters • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/classes/handoff_filters.md): handoff_filters: Common handoff input filters.
- [achat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-achat.md): achat: Async version of chat method with self-reflection support.
- [aexecute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-aexecute.md): aexecute: Execute a task asynchronously - backward compatibility method
- [Agent ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-agent_id.md): agent_id: Lazily generate agent ID when first accessed.
- [Analyze Prompt • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-analyze_prompt.md): analyze_prompt: Analyze prompt for autonomy signals.
- [arun • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-arun.md): arun: Async version of run() - silent, non-streaming, returns structured result.
- [astart • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-astart.md): astart: Async version of start() - interactive, streaming-aware.
- [Auto Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-auto_memory.md): auto_memory: API reference for Agent.auto_memory
- [background • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-background.md): background: API reference for Agent.background
- [chat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-chat.md): chat: Chat with the agent.
- [Chat With Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-chat_with_context.md): chat_with_context: Chat with pre-retrieved context.
- [checkpoints • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-checkpoints.md): checkpoints: API reference for Agent.checkpoints
- [Clean Json Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-clean_json_output.md): clean_json_output: Clean and extract JSON from response text.
- [Clear History • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-clear_history.md): clear_history: API reference for Agent.clear_history
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-console.md): console: Lazily initialize Rich Console only when needed AND verbose is True.
- [Context Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-context_manager.md): context_manager: Set context manager directly.
- [Delete History • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-delete_history.md): delete_history: Delete a specific message from chat history by index.
- [Delete History Matching • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-delete_history_matching.md): delete_history_matching: Delete all messages matching a pattern.
- [Display Name • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-display_name.md): display_name: Safe display name that never returns None.
- [ephemeral • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-ephemeral.md): ephemeral: Context manager for ephemeral conversations.
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-execute.md): execute: Execute a task synchronously - backward compatibility method
- [Execute Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-execute_tool.md): execute_tool: Execute a tool dynamically based on the function name and arguments.
- [Execute Tool Async • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-execute_tool_async.md): execute_tool_async: Async version of execute_tool
- [From Template • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-from_template.md): from_template: Create an Agent from a template.
- [Generate Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-generate_task.md): generate_task: Generate a Task object from the agent's instructions
- [Get Available Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_available_tools.md): get_available_tools: Get tools available to this agent, filtered by plan_mode if enabled.
- [Get History Size • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_history_size.md): get_history_size: Get the current number of messages in chat history.
- [Get Learn Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_learn_context.md): get_learn_context: Get learning context for injection into system prompt.
- [Get Memory Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_memory_context.md): get_memory_context: Get memory context for the current conversation.
- [Get Recommended Stage • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_recommended_stage.md): get_recommended_stage: Get recommended execution stage for prompt.
- [Get Rules Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_rules_context.md): get_rules_context: Get rules context for the current conversation.
- [Get Skills Prompt • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-get_skills_prompt.md): get_skills_prompt: Get the XML prompt for available skills.
- [Handoff To • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-handoff_to.md): handoff_to: Programmatically hand off a task to another agent.
- [Handoff To Async • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-handoff_to_async.md): handoff_to_async: Asynchronously hand off a task to another agent.
- [Iter Stream • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-iter_stream.md): iter_stream: Stream agent response as an iterator of chunks.
- [launch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-launch.md): launch: Launch the agent as an HTTP API endpoint or an MCP server.
- [LLM Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-llm_model.md): llm_model: Unified property to get the LLM model regardless of configuration type.
- [Output Style • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-output_style.md): output_style: API reference for Agent.output_style
- [policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-policy.md): policy: API reference for Agent.policy
- [Prune History • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-prune_history.md): prune_history: Prune chat history to keep only the last N messages.
- [query • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-query.md): query: Query knowledge and get a structured answer with citations.
- [RAG • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-rag.md): rag: Lazy-loaded RAG instance for advanced retrieval with citations.
- [RAG Query • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-rag_query.md): rag_query: Query knowledge using RAG pipeline with citations.
- [Retrieval Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-retrieval_config.md): retrieval_config: Get the unified retrieval configuration.
- [retrieve • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-retrieve.md): retrieve: Retrieve context from knowledge without LLM generation.
- [Rules Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-rules_manager.md): rules_manager: Lazy-initialized RulesManager for persistent rules/instructions.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-run.md): run: Execute agent silently and return structured result.
- [Run Autonomous • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-run_autonomous.md): run_autonomous: Run an autonomous task execution loop.
- [Run Autonomous Async • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-run_autonomous_async.md): run_autonomous_async: Async variant of run_autonomous() for concurrent agent execution.
- [Run Until • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-run_until.md): run_until: Run agent iteratively until output meets quality criteria.
- [Run Until Async • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-run_until_async.md): run_until_async: Async version of run_until().
- [Session ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-session_id.md): session_id: Get the current session ID.
- [Skill Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-skill_manager.md): skill_manager: Lazily initialize SkillManager only when skills are accessed.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-start.md): start: Start the agent interactively with verbose output.
- [Store Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-store_memory.md): store_memory: Store content in memory.
- [Stream Emitter • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-stream_emitter.md): stream_emitter: Allow setting stream_emitter directly.
- [Switch Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-switch_model.md): switch_model: Switch the agent's LLM model while preserving conversation history.
- [Thinking Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Agent-thinking_budget.md): thinking_budget: API reference for Agent.thinking_budget
- [Get App • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentOSProtocol-get_app.md): get_app: Get the underlying web application instance.
- [serve • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentOSProtocol-serve.md): serve: Start the AgentApp server.
- [Add Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-add_task.md): add_task: API reference for AgentTeam.add_task
- [Aexecute Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-aexecute_task.md): aexecute_task: Async version of execute_task method
- [Append To State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-append_to_state.md): append_to_state: Append a value to a list state. Creates the list if it doesn't exist.
- [Arun All Tasks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-arun_all_tasks.md): arun_all_tasks: Async version of run_all_tasks method
- [Arun Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-arun_task.md): arun_task: Async version of run_task method
- [astart • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-astart.md): astart: Async version of start method.
- [Clean Json Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-clean_json_output.md): clean_json_output: API reference for AgentTeam.clean_json_output
- [Clear State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-clear_state.md): clear_state: Clear all state values
- [Context Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-context_manager.md): context_manager: ContextManager instance for unified context management across all agents.
- [Current Plan • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-current_plan.md): current_plan: Get the current plan.
- [Default Completion Checker • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-default_completion_checker.md): default_completion_checker: API reference for AgentTeam.default_completion_checker
- [Delete State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-delete_state.md): delete_state: Delete a state key if it exists. Returns True if deleted, False if key didn't exist.
- [Display Token Usage • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-display_token_usage.md): display_token_usage: Display token usage in a formatted table.
- [Execute Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-execute_task.md): execute_task: Synchronous version of execute_task method
- [Get Agent Details • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_agent_details.md): get_agent_details: API reference for AgentTeam.get_agent_details
- [Get All State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_all_state.md): get_all_state: Get a copy of the entire state dictionary
- [Get All Tasks Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_all_tasks_status.md): get_all_tasks_status: API reference for AgentTeam.get_all_tasks_status
- [Get Detailed Token Report • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_detailed_token_report.md): get_detailed_token_report: Get a detailed token usage report.
- [Get Plan Markdown • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_plan_markdown.md): get_plan_markdown: Get the current plan as markdown.
- [Get State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_state.md): get_state: Get a state value
- [Get Task Details • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_task_details.md): get_task_details: API reference for AgentTeam.get_task_details
- [Get Task Result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_task_result.md): get_task_result: API reference for AgentTeam.get_task_result
- [Get Task Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_task_status.md): get_task_status: API reference for AgentTeam.get_task_status
- [Get Todo Markdown • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_todo_markdown.md): get_todo_markdown: Get the current todo list as markdown.
- [Get Token Usage Summary • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-get_token_usage_summary.md): get_token_usage_summary: Get a summary of token usage across all agents and tasks.
- [Has State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-has_state.md): has_state: Check if a state key exists
- [Increment State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-increment_state.md): increment_state: Increment a numeric state value. Creates the key with default if it doesn't exist.
- [launch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-launch.md): launch: Launch all agents as a single API endpoint (HTTP) or an MCP server.
- [Restore Session State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-restore_session_state.md): restore_session_state: Restore state from memory for session persistence. Returns True if restored.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-run.md): run: Run agents silently (production use).
- [Run All Tasks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-run_all_tasks.md): run_all_tasks: Synchronous version of run_all_tasks method
- [Run Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-run_task.md): run_task: Synchronous version of run_task method
- [Save Output To File • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-save_output_to_file.md): save_output_to_file: API reference for AgentTeam.save_output_to_file
- [Save Session State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-save_session_state.md): save_session_state: Save current state to memory for session persistence
- [Set State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-set_state.md): set_state: Set a state value
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-start.md): start: Start agent execution with verbose output (beginner-friendly).
- [Todo List • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-todo_list.md): todo_list: Get the current todo list.
- [Update Plan Step Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-update_plan_step_status.md): update_plan_step_status: Update the status of a plan step.
- [Update State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AgentTeam-update_state.md): update_state: Update multiple state values
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AsyncMiddlewareChain-execute.md): execute: Execute the async middleware chain.
- [alisten • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-alisten.md): alisten: Async version of listen().
- [asay • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-asay.md): asay: Async version of say().
- [aspeech • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-aspeech.md): aspeech: Async version of speech().
- [atranscribe • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-atranscribe.md): atranscribe: Async version of transcribe().
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-console.md): console: Lazily initialize Rich Console.
- [listen • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-listen.md): listen: Quick STT - transcribe audio file.
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-litellm.md): litellm: Lazy load litellm module when needed.
- [say • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-say.md): say: Quick TTS - convert text and save to file.
- [speech • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-speech.md): speech: Convert text to speech.
- [transcribe • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AudioAgent-transcribe.md): transcribe: Transcribe audio to text.
- [Is Available • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AuthProfile-is_available.md): is_available: Check if this profile is currently available.
- [Mark Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AuthProfile-mark_error.md): mark_error: Mark this profile as having an error.
- [Mark Rate Limited • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AuthProfile-mark_rate_limited.md): mark_rate_limited: Mark this profile as rate limited.
- [reset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AuthProfile-reset.md): reset: Reset this profile to available status.
- [astart • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoAgents-astart.md): astart: Async version of start() method.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoAgents-start.md): start: Creates tasks based on the instructions, then starts execution.
- [achat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoRagAgent-achat.md): achat: Async version of chat.
- [chat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoRagAgent-chat.md): chat: Chat with automatic RAG retrieval decision.
- [name • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoRagAgent-name.md): name: Delegate name to wrapped agent.
- [RAG • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/AutoRagAgent-rag.md): rag: Lazy load RAG from agent if not provided.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BaseVerificationHook-run.md): run: Run the verification hook.
- [Channel ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotChannelProtocol-channel_id.md): channel_id: Unique channel identifier.
- [Channel Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotChannelProtocol-channel_type.md): channel_type: Type of channel (dm, group, channel, thread).
- [Is Channel Allowed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotConfig-is_channel_allowed.md): is_channel_allowed: Check if a channel is allowed for bot interaction.
- [Is User Allowed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotConfig-is_user_allowed.md): is_user_allowed: Check if a user is allowed to interact with the bot.
- [Is Webhook Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotConfig-is_webhook_mode.md): is_webhook_mode: Whether bot is configured for webhook mode.
- [command • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessage-command.md): command: Extract command name if this is a command message.
- [Command Args • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessage-command_args.md): command_args: Extract command arguments if this is a command message.
- [Is Command • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessage-is_command.md): is_command: Check if message is a command.
- [text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessage-text.md): text: Get message text content.
- [channel • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessageProtocol-channel.md): channel: Message channel.
- [content • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessageProtocol-content.md): content: Message content.
- [Message ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessageProtocol-message_id.md): message_id: Unique message identifier.
- [sender • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotMessageProtocol-sender.md): sender: Message sender.
- [Bot User • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-bot_user.md): bot_user: The bot's user information.
- [Delete Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-delete_message.md): delete_message: Delete a message.
- [Edit Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-edit_message.md): edit_message: Edit an existing message.
- [Get Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-get_agent.md): get_agent: Get the current agent.
- [Get Channel • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-get_channel.md): get_channel: Get channel information.
- [Get User • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-get_user.md): get_user: Get user information.
- [Is Running • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-is_running.md): is_running: Whether the bot is currently running.
- [On Command • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-on_command.md): on_command: Decorator to register a command handler.
- [On Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-on_message.md): on_message: Register a message handler.
- [platform • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-platform.md): platform: Platform name (telegram, discord, slack, etc.).
- [Send Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-send_message.md): send_message: Send a message to a channel.
- [Send Typing • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-send_typing.md): send_typing: Send typing indicator to a channel.
- [Set Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-set_agent.md): set_agent: Set the agent that handles messages.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-start.md): start: Start the bot (begin receiving messages).
- [stop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotProtocol-stop.md): stop: Stop the bot.
- [Is Bot • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotUserProtocol-is_bot.md): is_bot: Whether this user is a bot.
- [User ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotUserProtocol-user_id.md): user_id: Unique user identifier.
- [username • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BotUserProtocol-username.md): username: User's username.
- [Fixed Total • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BudgetAllocation-fixed_total.md): fixed_total: Total of fixed segment budgets.
- [Get Segment Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BudgetAllocation-get_segment_budget.md): get_segment_budget: Get budget for a segment.
- [History Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BudgetAllocation-history_budget.md): history_budget: Computed history budget (remainder after fixed segments).
- [usable • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/BudgetAllocation-usable.md): usable: Usable tokens after output reserve.
- [Supported Chunkers • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Chunking-SUPPORTED_CHUNKERS.md): SUPPORTED_CHUNKERS: Lazy load chunker classes.
- [chunk • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Chunking-chunk.md): chunk: Chunk text using the configured chunking strategy.
- [chunker • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Chunking-chunker.md): chunker: Lazy load the chunker instance.
- [Embedding Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Chunking-embedding_model.md): embedding_model: Lazy load the embedding model.
- [aexecute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-aexecute.md): aexecute: Execute code asynchronously.
- [agenerate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-agenerate.md): agenerate: Generate code asynchronously.
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-console.md): console: Lazy load Rich console.
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-execute.md): execute: Execute code in sandboxed environment.
- [Execute Code • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-execute_code.md): execute_code: Alias for execute() method.
- [explain • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-explain.md): explain: Explain what code does in plain language.
- [fix • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-fix.md): fix: Fix bugs in code.
- [generate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-generate.md): generate: Generate code from natural language description.
- [Generate Code • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-generate_code.md): generate_code: Alias for generate() method.
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-litellm.md): litellm: Lazy load litellm.
- [refactor • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-refactor.md): refactor: Refactor code to improve quality.
- [review • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CodeAgent-review.md): review: Review code for issues, bugs, and improvements.
- [evaluate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ConditionProtocol-evaluate.md): evaluate: Evaluate the condition against the given context.
- [Aanalyze Codebase • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-aanalyze_codebase.md): aanalyze_codebase: Async version of analyze_codebase.
- [Acreate Implementation Blueprint • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-acreate_implementation_blueprint.md): acreate_implementation_blueprint: Async version of create_implementation_blueprint.
- [Agenerate Prp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-agenerate_prp.md): agenerate_prp: Async version of generate_prp.
- [Analyze Codebase • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-analyze_codebase.md): analyze_codebase: Protocol-compatible alias for analyze_codebase_with_gitingest.
- [Analyze Codebase With Gitingest • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-analyze_codebase_with_gitingest.md): analyze_codebase_with_gitingest: Analyze codebase using gitingest for comprehensive understanding.
- [Analyze Integration Points • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-analyze_integration_points.md): analyze_integration_points: Analyze integration points and external dependencies following PRD methodology.
- [Analyze Test Patterns • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-analyze_test_patterns.md): analyze_test_patterns: Analyze testing patterns for validation framework creation.
- [Build Implementation Blueprint • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-build_implementation_blueprint.md): build_implementation_blueprint: Build detailed implementation blueprint following PRD template.
- [Compile Context Documentation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-compile_context_documentation.md): compile_context_documentation: Compile all context documentation following PRD methodology.
- [Create Implementation Blueprint • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-create_implementation_blueprint.md): create_implementation_blueprint: Protocol-compatible alias for build_implementation_blueprint.
- [Create Quality Gates • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-create_quality_gates.md): create_quality_gates: Create quality gates for validation following PRD methodology.
- [Create Validation Framework • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-create_validation_framework.md): create_validation_framework: Create comprehensive validation framework following PRD methodology.
- [Execute Prp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-execute_prp.md): execute_prp: Execute a PRP following PRD methodology (placeholder for future implementation).
- [Extract Implementation Patterns • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-extract_implementation_patterns.md): extract_implementation_patterns: Extract reusable implementation patterns following PRD methodology.
- [Generate Comprehensive Prp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-generate_comprehensive_prp.md): generate_comprehensive_prp: Generate comprehensive Product Requirements Prompt following PRD template exactly.
- [Generate Feature Prp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-generate_feature_prp.md): generate_feature_prp: Generate a comprehensive PRP for a specific feature request following PRD methodology.
- [Generate Prp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-generate_prp.md): generate_prp: Protocol-compatible alias for generate_comprehensive_prp.
- [Get Agent Interaction Summary • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-get_agent_interaction_summary.md): get_agent_interaction_summary: Get summary of all agent interactions.
- [Log Debug • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-log_debug.md): log_debug: Enhanced debug logging with optional data.
- [Perform Ast Analysis • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-perform_ast_analysis.md): perform_ast_analysis: Perform AST (Abstract Syntax Tree) analysis for code patterns.
- [Save Comprehensive Session Report • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-save_comprehensive_session_report.md): save_comprehensive_session_report: Save a comprehensive markdown report of the entire session (debug mode only).
- [Save Markdown Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-save_markdown_output.md): save_markdown_output: Save content as markdown file with proper formatting.
- [Setup Logging • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-setup_logging.md): setup_logging: Setup comprehensive logging based on debug mode.
- [Setup Output Directories • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-setup_output_directories.md): setup_output_directories: Setup all output directories for comprehensive saving.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextAgent-start.md): start: Start Context Engineering analysis with structured input parsing.
- [For Recipe • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextConfig-for_recipe.md): for_recipe: Preset for recipe/workflow use cases with many tool calls.
- [From Env • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextConfig-from_env.md): from_env: Load config from environment variables.
- [merge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextConfig-merge.md): merge: Create new config with overrides applied.
- [Add Segment • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextLedger-add_segment.md): add_segment: Add tokens to a segment.
- [Get Segment • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextLedger-get_segment.md): get_segment: Get token count for a segment.
- [Set Segment • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextLedger-set_segment.md): set_segment: Set token count for a segment.
- [total • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextLedger-total.md): total: Total tokens across all segments.
- [Capture LLM Boundary • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-capture_llm_boundary.md): capture_llm_boundary: Capture exact state at LLM call boundary.
- [Emergency Truncate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-emergency_truncate.md): emergency_truncate: Emergency truncation when optimization isn't enough.
- [Estimate Tokens • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-estimate_tokens.md): estimate_tokens: Estimate tokens with optional validation.
- [Get History • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-get_history.md): get_history: Get optimization history.
- [Get Last Snapshot Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-get_last_snapshot_hook.md): get_last_snapshot_hook: Get the last LLM boundary snapshot.
- [Get Resolved Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-get_resolved_config.md): get_resolved_config: Get the fully resolved configuration with source info.
- [Get Stats • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-get_stats.md): get_stats: Get current context statistics.
- [Get Tool Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-get_tool_budget.md): get_tool_budget: Get token budget for a specific tool.
- [process • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-process.md): process: Process messages through the context pipeline.
- [Register Snapshot Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-register_snapshot_callback.md): register_snapshot_callback: Register a callback for LLM boundary snapshots.
- [reset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-reset.md): reset: Reset manager state.
- [Set Tool Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-set_tool_budget.md): set_tool_budget: Set token budget for a specific tool.
- [Truncate Tool Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextManager-truncate_tool_output.md): truncate_tool_output: Truncate tool output according to its budget.
- [optimize • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextOptimizer-optimize.md): optimize: Optimize messages to fit within target tokens.
- [Format For Prompt • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextPack-format_for_prompt.md): format_for_prompt: Format context for injection into a prompt.
- [Has Citations • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ContextPack-has_citations.md): has_citations: Check if context pack has citations.
- [From Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/CustomMemory-from_config.md): from_config: API reference for CustomMemory.from_config
- [aresearch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-aresearch.md): aresearch: Async version of research().
- [Async Openai Client • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-async_openai_client.md): async_openai_client: Get the asynchronous OpenAI client (lazy initialization).
- [clarify • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-clarify.md): clarify: Generate clarifying questions for a research query.
- [Follow Up • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-follow_up.md): follow_up: Ask a follow-up question based on a previous research interaction.
- [Gemini Client • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-gemini_client.md): gemini_client: Get the Gemini client (lazy initialization).
- [Openai Client • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-openai_client.md): openai_client: Get the synchronous OpenAI client (lazy initialization).
- [research • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-research.md): research: Perform a deep research query.
- [Rewrite Query • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchAgent-rewrite_query.md): rewrite_query: Rewrite a research query to be more specific and detailed.
- [Get All Sources • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchResponse-get_all_sources.md): get_all_sources: Get a list of all unique sources cited.
- [Get Citation Text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DeepResearchResponse-get_citation_text.md): get_citation_text: Extract the text that a citation refers to.
- [evaluate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DictCondition-evaluate.md): evaluate: Check if the context contains a valid routing decision.
- [Get Target • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/DictCondition-get_target.md): get_target: Get target tasks based on the decision value.
- [aembed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-aembed.md): aembed: Async version of embed().
- [Aembed Batch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-aembed_batch.md): aembed_batch: Async version of embed_batch().
- [asimilarity • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-asimilarity.md): asimilarity: Async version of similarity().
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-console.md): console: Lazily initialize Rich Console.
- [embed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-embed.md): embed: Generate embedding for a single text.
- [Embed Batch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-embed_batch.md): embed_batch: Generate embeddings for multiple texts.
- [Find Most Similar • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-find_most_similar.md): find_most_similar: Find the most similar texts to a query.
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-litellm.md): litellm: Lazy load litellm module when needed.
- [similarity • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/EmbeddingAgent-similarity.md): similarity: Calculate cosine similarity between two texts.
- [evaluate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ExpressionCondition-evaluate.md): evaluate: Evaluate the condition against the given context.
- [Add Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-add_profile.md): add_profile: Add an auth profile.
- [Get Next Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-get_next_profile.md): get_next_profile: Get the next available profile.
- [Get Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-get_profile.md): get_profile: Get a profile by name.
- [Get Retry Delay • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-get_retry_delay.md): get_retry_delay: Calculate retry delay for an attempt.
- [List Profiles • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-list_profiles.md): list_profiles: List all profiles.
- [Mark Failure • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-mark_failure.md): mark_failure: Mark a profile as failed.
- [Mark Success • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-mark_success.md): mark_success: Mark a profile as successful.
- [On Failover • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-on_failover.md): on_failover: Register a callback for failover events.
- [Remove Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-remove_profile.md): remove_profile: Remove a profile by name.
- [Reset All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-reset_all.md): reset_all: Reset all profiles to available status.
- [status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverManager-status.md): status: Get failover manager status.
- [Get Next Profile • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverProtocol-get_next_profile.md): get_next_profile: Get the next available profile.
- [Mark Failure • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverProtocol-mark_failure.md): mark_failure: Mark a profile as failed.
- [Mark Success • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FailoverProtocol-mark_success.md): mark_success: Mark a profile as successful.
- [display • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FlowDisplay-display.md): display: Display the flow chart with agents in center and tools on sides.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FlowDisplay-start.md): start: Start tracking workflow.
- [stop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/FlowDisplay-stop.md): stop: Stop tracking and display the flow.
- [Client ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-client_id.md): client_id: Unique client identifier.
- [close • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-close.md): close: Close the client connection.
- [Connected At • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-connected_at.md): connected_at: Connection timestamp.
- [Is Connected • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-is_connected.md): is_connected: Whether the client is currently connected.
- [receive • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-receive.md): receive: Receive an event from the client.
- [send • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayClientProtocol-send.md): send: Send an event to the client.
- [HTTP URL • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayConfig-http_url.md): http_url: HTTP URL for this gateway.
- [Is Secure • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayConfig-is_secure.md): is_secure: Whether SSL/TLS is enabled.
- [Ws URL • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayConfig-ws_url.md): ws_url: WebSocket URL for this gateway.
- [broadcast • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-broadcast.md): broadcast: Broadcast an event to all connected clients.
- [Close Session • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-close_session.md): close_session: Close a session.
- [Create Session • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-create_session.md): create_session: Create a new session.
- [emit • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-emit.md): emit: Emit an event to registered handlers.
- [Get Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-get_agent.md): get_agent: Get a registered agent by ID.
- [Get Session • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-get_session.md): get_session: Get a session by ID.
- [health • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-health.md): health: Get gateway health status.
- [host • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-host.md): host: Host the gateway is bound to.
- [Is Running • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-is_running.md): is_running: Whether the gateway is currently running.
- [List Agents • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-list_agents.md): list_agents: List all registered agent IDs.
- [List Sessions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-list_sessions.md): list_sessions: List session IDs, optionally filtered by agent.
- [On Event • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-on_event.md): on_event: Decorator to register an event handler.
- [port • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-port.md): port: Port the gateway is listening on.
- [Register Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-register_agent.md): register_agent: Register an agent with the gateway.
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-start.md): start: Start the gateway server.
- [stop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-stop.md): stop: Stop the gateway server.
- [Unregister Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewayProtocol-unregister_agent.md): unregister_agent: Unregister an agent from the gateway.
- [Add Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-add_message.md): add_message: Add a message to the session history.
- [Agent ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-agent_id.md): agent_id: ID of the agent handling this session.
- [Client ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-client_id.md): client_id: ID of the client in this session.
- [close • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-close.md): close: Close the session.
- [Created At • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-created_at.md): created_at: Session creation timestamp.
- [Get Messages • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-get_messages.md): get_messages: Get session message history.
- [Get State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-get_state.md): get_state: Get session state.
- [Is Active • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-is_active.md): is_active: Whether the session is currently active.
- [Last Activity • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-last_activity.md): last_activity: Last activity timestamp.
- [Session ID • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-session_id.md): session_id: Unique session identifier.
- [Set State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/GatewaySessionProtocol-set_state.md): set_state: Set a session state value.
- [Default Tool Description • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-default_tool_description.md): default_tool_description: Generate default tool description based on agent role and goal.
- [Default Tool Name • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-default_tool_name.md): default_tool_name: Generate default tool name based on agent name.
- [Execute Async • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-execute_async.md): execute_async: Execute handoff asynchronously with concurrency control.
- [Execute Programmatic • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-execute_programmatic.md): execute_programmatic: Execute handoff programmatically (not via LLM tool call).
- [To Tool Function • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-to_tool_function.md): to_tool_function: Convert this handoff to a tool function that can be called by the LLM.
- [Tool Description • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-tool_description.md): tool_description: Get the tool description for this handoff.
- [Tool Name • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Handoff-tool_name.md): tool_name: Get the tool name for this handoff.
- [matches • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookDefinition-matches.md): matches: Check if this hook matches the target (tool name, etc.).
- [Get Reason • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookOutput-get_reason.md): get_reason: Get the effective reason for blocking or stopping.
- [Is Blocking • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookOutput-is_blocking.md): is_blocking: Check if this output represents a blocking decision.
- [Should Stop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookOutput-should_stop.md): should_stop: Check if execution should stop.
- [clear • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-clear.md): clear: Clear all hooks or hooks for a specific event.
- [Disable Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-disable_hook.md): disable_hook: Disable a specific hook.
- [Enable Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-enable_hook.md): enable_hook: Enable a specific hook.
- [enabled • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-enabled.md): enabled: Enable or disable hooks.
- [Get Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-get_hooks.md): get_hooks: Get all hooks for an event, optionally filtered by target.
- [Has Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-has_hooks.md): has_hooks: Check if there are any hooks registered for an event.
- [List Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-list_hooks.md): list_hooks: List all registered hooks.
- [on • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-on.md): on: Decorator to register a function as a hook.
- [register • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-register.md): register: Register a hook definition.
- [Register Command • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-register_command.md): register_command: Register a shell command as a hook.
- [Register Function • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-register_function.md): register_function: Register a Python function as a hook.
- [Set Global Timeout • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-set_global_timeout.md): set_global_timeout: Set the global timeout for all hooks.
- [unregister • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRegistry-unregister.md): unregister: Unregister a hook by ID.
- [allow • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-allow.md): allow: Create an allow result.
- [ask • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-ask.md): ask: Create an ask result (requires user confirmation).
- [block • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-block.md): block: Create a block result.
- [deny • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-deny.md): deny: Create a deny result.
- [Is Allowed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-is_allowed.md): is_allowed: Check if the result allows execution.
- [Is Denied • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookResult-is_denied.md): is_denied: Check if the result denies execution.
- [Aggregate Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-aggregate_context.md): aggregate_context: Aggregate additional context from all results.
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-execute.md): execute: Execute all hooks for an event.
- [Execute Sync • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-execute_sync.md): execute_sync: Synchronous version of execute.
- [Get Blocking Reason • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-get_blocking_reason.md): get_blocking_reason: Get the reason for blocking from results.
- [Is Blocked • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-is_blocked.md): is_blocked: Check if any hook blocked execution.
- [registry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/HookRunner-registry.md): registry: Get the hook registry.
- [achat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-achat.md): achat: Async chat method for image generation.
- [aedit • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-aedit.md): aedit: Async version of edit().
- [agenerate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-agenerate.md): agenerate: Async alias for generate_image().
- [Agenerate Image • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-agenerate_image.md): agenerate_image: Async wrapper for generate_image.
- [avariation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-avariation.md): avariation: Async version of variation().
- [chat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-chat.md): chat: Generate an image from the prompt.
- [edit • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-edit.md): edit: Edit an existing image with a prompt.
- [generate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-generate.md): generate: Alias for generate_image() - for consistency with VideoAgent/AudioAgent.
- [Generate Image • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-generate_image.md): generate_image: Generate an image based on the provided prompt.
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-litellm.md): litellm: Lazy load litellm module when needed.
- [variation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ImageAgent-variation.md): variation: Generate variations of an existing image.
- [add • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-add.md): add: Read file content and store it in memory.
- [chunker • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-chunker.md): chunker: API reference for Knowledge.chunker
- [config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-config.md): config: API reference for Knowledge.config
- [delete • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-delete.md): delete: Delete a memory.
- [Delete All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-delete_all.md): delete_all: Delete all memories.
- [get • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-get.md): get: Retrieve a specific memory by ID.
- [Get All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-get_all.md): get_all: Retrieve all memories.
- [Get Corpus Stats • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-get_corpus_stats.md): get_corpus_stats: Get statistics about the indexed corpus.
- [history • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-history.md): history: Get the history of changes for a memory.
- [index • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-index.md): index: Index a directory or file for knowledge retrieval.
- [markdown • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-markdown.md): markdown: API reference for Knowledge.markdown
- [memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-memory.md): memory: API reference for Knowledge.memory
- [Normalize Content • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-normalize_content.md): normalize_content: Normalize content for consistent storage.
- [reset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-reset.md): reset: Reset all memories.
- [search • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-search.md): search: Search for memories related to a query.
- [store • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-store.md): store: Store a memory.
- [update • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Knowledge-update.md): update: Update a memory.
- [Get Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCP-get_tools.md): get_tools: Get the list of tool functions from this MCP instance.
- [shutdown • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCP-shutdown.md): shutdown: Explicitly shut down MCP resources.
- [To Openai Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCP-to_openai_tool.md): to_openai_tool: Convert the MCP tool to an OpenAI-compatible tool definition.
- [Call Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCPToolRunner-call_tool.md): call_tool: Call an MCP tool and wait for the result.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCPToolRunner-run.md): run: Main thread function that processes MCP requests.
- [shutdown • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MCPToolRunner-shutdown.md): shutdown: Signal the thread to shut down.
- [Build Context For Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-build_context_for_task.md): build_context_for_task: Merges relevant short-term, long-term, entity, user memories
- [Calculate Quality Metrics • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-calculate_quality_metrics.md): calculate_quality_metrics: Calculate quality metrics using LLM
- [Compute Quality Score • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-compute_quality_score.md): compute_quality_score: Combine multiple sub-metrics into one final score, as an example.
- [Delete Long Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-delete_long_term.md): delete_long_term: Delete a specific long-term memory by ID.
- [Delete Memories • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-delete_memories.md): delete_memories: Delete multiple memories by their IDs.
- [Delete Memories Matching • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-delete_memories_matching.md): delete_memories_matching: Delete memories matching a search query.
- [Delete Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-delete_memory.md): delete_memory: Delete a specific memory by ID.
- [Delete Short Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-delete_short_term.md): delete_short_term: Delete a specific short-term memory by ID.
- [Finalize Task Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-finalize_task_output.md): finalize_task_output: Store task output in memory with appropriate metadata
- [Get All Memories • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-get_all_memories.md): get_all_memories: Get all memories from both short-term and long-term storage
- [Get Learn Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-get_learn_context.md): get_learn_context: Get learning context suitable for injection into system prompt.
- [learn • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-learn.md): learn: Get the LearnManager for continuous learning capabilities.
- [Reset All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-reset_all.md): reset_all: Fully wipes short-term, long-term, and any memory in mem0 or rag.
- [Reset Entity Only • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-reset_entity_only.md): reset_entity_only: If you only want to drop entity items from LTM, you'd do a custom
- [Reset Long Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-reset_long_term.md): reset_long_term: Clear local LTM DB, plus Chroma, MongoDB, or mem0 if in use.
- [Reset Short Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-reset_short_term.md): reset_short_term: Completely clears short-term memory.
- [Reset User Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-reset_user_memory.md): reset_user_memory: Clear all user-based info. For simplicity, we do a full LTM reset.
- [search • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search.md): search: Generic search method that delegates to appropriate specific search methods.
- [Search Entity • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search_entity.md): search_entity: Filter to items that have metadata 'category=entity'.
- [Search Long Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search_long_term.md): search_long_term: Search long-term memory with optional quality filter
- [Search Short Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search_short_term.md): search_short_term: Search short-term memory with optional quality filter
- [Search User Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search_user_memory.md): search_user_memory: If mem0 is used, pass user_id in. Otherwise fallback to local filter on user in metadata.
- [Search With Quality • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-search_with_quality.md): search_with_quality: Search with quality filter
- [Store Entity • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-store_entity.md): store_entity: Save entity info in LTM (or mem0/rag).
- [Store Long Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-store_long_term.md): store_long_term: Store in long-term memory with optional quality metrics
- [Store Quality • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-store_quality.md): store_quality: Store quality metrics in memory
- [Store Short Term • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-store_short_term.md): store_short_term: Store in short-term memory with optional quality metrics
- [Store User Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Memory-store_user_memory.md): store_user_memory: If mem0 is used, do user-based addition. Otherwise store in LTM with user in metadata.
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareChain-execute.md): execute: Execute the middleware chain with a final handler.
- [Execute Model Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-execute_model_call.md): execute_model_call: Execute a model call with all hooks and middleware.
- [Execute Tool Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-execute_tool_call.md): execute_tool_call: Execute a tool call with all hooks and middleware.
- [Has Model Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-has_model_hooks.md): has_model_hooks: Check if any model hooks are registered.
- [Has Tool Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-has_tool_hooks.md): has_tool_hooks: Check if any tool hooks are registered.
- [Run After Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-run_after_model.md): run_after_model: Run all after_model hooks (in reverse order).
- [Run After Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-run_after_tool.md): run_after_tool: Run all after_tool hooks (in reverse order).
- [Run Before Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-run_before_model.md): run_before_model: Run all before_model hooks.
- [Run Before Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MiddlewareManager-run_before_tool.md): run_before_tool: Run all before_tool hooks.
- [add • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-add.md): add: Add memory to MongoDB.
- [delete • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-delete.md): delete: Delete a memory.
- [Delete All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-delete_all.md): delete_all: Delete all memories.
- [get • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-get.md): get: Get a specific memory by ID.
- [Get All • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-get_all.md): get_all: Get all memories from MongoDB.
- [reset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-reset.md): reset: Reset all memories.
- [search • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-search.md): search: Search memories in MongoDB.
- [update • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MongoDBMemory-update.md): update: Update a memory.
- [Get Agent Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-get_agent_manager.md): get_agent_manager: Get or create context manager for an agent.
- [Get Agent Policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-get_agent_policy.md): get_agent_policy: Get context policy for an agent.
- [Get Combined Stats • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-get_combined_stats.md): get_combined_stats: Get combined statistics across all agents.
- [Get Session Cache • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-get_session_cache.md): get_session_cache: Get the session deduplication cache.
- [Prepare Handoff • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-prepare_handoff.md): prepare_handoff: Prepare context for handoff between agents.
- [Set Agent Policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/MultiAgentContextManager-set_agent_policy.md): set_agent_policy: Set context policy for an agent.
- [aextract • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-aextract.md): aextract: Async version of extract().
- [aread • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-aread.md): aread: Async version of read().
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-console.md): console: Lazily initialize Rich Console.
- [extract • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-extract.md): extract: Extract text from a document or image.
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-litellm.md): litellm: Lazy load litellm module when needed.
- [read • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OCRAgent-read.md): read: Quick OCR - extract and return markdown text.
- [close • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-close.md): close: Close the adapter and release resources.
- [flush • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-flush.md): flush: Flush any pending data.
- [On LLM Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_llm_call.md): on_llm_call: Called when an LLM call is made.
- [On Span End • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_span_end.md): on_span_end: Called when a span ends.
- [On Span Start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_span_start.md): on_span_start: Called when a span starts.
- [On Tool Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_tool_call.md): on_tool_call: Called when a tool is invoked.
- [On Trace End • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_trace_end.md): on_trace_end: Called when a trace ends.
- [On Trace Start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ObservabilityAdapter-on_trace_start.md): on_trace_start: Called when a trace starts.
- [Reduction Percent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/OptimizationResult-reduction_percent.md): reduction_percent: Percentage of tokens reduced.
- [Add Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-add_tool.md): add_tool: Add a tool to the allowlist.
- [Clear Session Permissions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-clear_session_permissions.md): clear_session_permissions: Clear session-only permissions.
- [Is Allowed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-is_allowed.md): is_allowed: Check if a tool is allowed.
- [Is Empty • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-is_empty.md): is_empty: Check if allowlist is empty.
- [List Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-list_tools.md): list_tools: List all allowed tools.
- [load • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-load.md): load: Load allowlist from JSON file.
- [Remove Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-remove_tool.md): remove_tool: Remove a tool from the allowlist.
- [save • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PermissionAllowlist-save.md): save: Save allowlist to JSON file.
- [agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-agent.md): agent: Lazy initialization of internal Agent.
- [expand • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-expand.md): expand: Expand a prompt using the specified strategy.
- [Expand Basic • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-expand_basic.md): expand_basic: Convenience method for basic expansion.
- [Expand Creative • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-expand_creative.md): expand_creative: Convenience method for creative expansion.
- [Expand Detailed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-expand_detailed.md): expand_detailed: Convenience method for detailed expansion.
- [Expand Structured • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/PromptExpanderAgent-expand_structured.md): expand_structured: Convenience method for structured expansion.
- [Add Abbreviation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-add_abbreviation.md): add_abbreviation: Add a custom abbreviation expansion.
- [Add Abbreviations • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-add_abbreviations.md): add_abbreviations: Add multiple custom abbreviation expansions.
- [agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-agent.md): agent: Lazy initialization of internal Agent.
- [rewrite • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite.md): rewrite: Rewrite a query using the specified strategy.
- [Rewrite Basic • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_basic.md): rewrite_basic: Convenience method for basic rewriting.
- [Rewrite Contextual • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_contextual.md): rewrite_contextual: Convenience method for contextual rewriting.
- [Rewrite Hyde • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_hyde.md): rewrite_hyde: Convenience method for HyDE rewriting.
- [Rewrite Multi Query • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_multi_query.md): rewrite_multi_query: Convenience method for multi-query generation.
- [Rewrite Step Back • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_step_back.md): rewrite_step_back: Convenience method for step-back rewriting.
- [Rewrite Sub Queries • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/QueryRewriterAgent-rewrite_sub_queries.md): rewrite_sub_queries: Convenience method for sub-query decomposition.
- [Format Answer With Citations • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RAGResult-format_answer_with_citations.md): format_answer_with_citations: Format answer with inline citation references.
- [Has Citations • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RAGResult-has_citations.md): has_citations: Check if result has citations.
- [aconnect • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-aconnect.md): aconnect: Connect to the Realtime API asynchronously.
- [adisconnect • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-adisconnect.md): adisconnect: Disconnect from the Realtime API asynchronously.
- [Asend Audio • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-asend_audio.md): asend_audio: Send audio data asynchronously.
- [Asend Text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-asend_text.md): asend_text: Send text message asynchronously.
- [connect • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-connect.md): connect: Connect to the Realtime API (sync wrapper).
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-console.md): console: Lazy load Rich console.
- [disconnect • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-disconnect.md): disconnect: Disconnect from the Realtime API (sync wrapper).
- [On Audio • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-on_audio.md): on_audio: Register callback for audio data.
- [On Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-on_error.md): on_error: Register callback for errors.
- [On Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-on_message.md): on_message: Register callback for text messages.
- [Receive Loop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-receive_loop.md): receive_loop: Main receive loop for processing incoming events.
- [Send Audio • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-send_audio.md): send_audio: Send audio data (sync wrapper).
- [Send Text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RealtimeAgent-send_text.md): send_text: Send text message (sync wrapper).
- [generous • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ResourceLimits-generous.md): generous: Create generous resource limits for trusted code.
- [minimal • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ResourceLimits-minimal.md): minimal: Create minimal resource limits for untrusted code.
- [standard • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ResourceLimits-standard.md): standard: Create standard resource limits.
- [Get Strategy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RetrievalConfig-get_strategy.md): get_strategy: Get retrieval strategy based on config and corpus stats.
- [Get Token Budget • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RetrievalConfig-get_token_budget.md): get_token_budget: Get TokenBudget instance for this config.
- [Should Retrieve • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RetrievalConfig-should_retrieve.md): should_retrieve: Determine if retrieval should be performed for a query.
- [To Knowledge Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RetrievalConfig-to_knowledge_config.md): to_knowledge_config: Convert to Knowledge-compatible config.
- [To RAG Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RetrievalConfig-to_rag_config.md): to_rag_config: Convert to RAG pipeline config.
- [All Queries • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RewriteResult-all_queries.md): all_queries: Returns all queries including original and rewritten.
- [Primary Query • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RewriteResult-primary_query.md): primary_query: Returns the primary rewritten query.
- [Get Target • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/RoutingConditionProtocol-get_target.md): get_target: Get the target tasks/steps based on condition evaluation.
- [docker • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxConfig-docker.md): docker: Create a Docker sandbox configuration.
- [e2b • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxConfig-e2b.md): e2b: Create an E2B sandbox configuration.
- [subprocess • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxConfig-subprocess.md): subprocess: Create a subprocess sandbox configuration.
- [cleanup • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-cleanup.md): cleanup: Clean up sandbox resources (files, processes, etc.).
- [execute • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-execute.md): execute: Execute code in the sandbox.
- [Execute File • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-execute_file.md): execute_file: Execute a file in the sandbox.
- [Get Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-get_status.md): get_status: Get sandbox status information.
- [Is Available • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-is_available.md): is_available: Whether the sandbox backend is available.
- [List Files • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-list_files.md): list_files: List files in a sandbox directory.
- [Read File • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-read_file.md): read_file: Read a file from the sandbox.
- [reset • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-reset.md): reset: Reset sandbox to initial state.
- [Run Command • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-run_command.md): run_command: Run a shell command in the sandbox.
- [Sandbox Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-sandbox_type.md): sandbox_type: Type of sandbox (docker, subprocess, etc.).
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-start.md): start: Start/initialize the sandbox environment.
- [stop • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-stop.md): stop: Stop/cleanup the sandbox environment.
- [Write File • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxProtocol-write_file.md): write_file: Write a file to the sandbox.
- [output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxResult-output.md): output: Get combined output (stdout + stderr).
- [success • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SandboxResult-success.md): success: Check if execution was successful.
- [permissive • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SecurityPolicy-permissive.md): permissive: Create a permissive security policy for trusted code.
- [standard • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SecurityPolicy-standard.md): standard: Create a standard security policy.
- [strict • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SecurityPolicy-strict.md): strict: Create a strict security policy for untrusted code.
- [Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-Agent.md): Agent: Create an agent with session context.
- [Add Knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-add_knowledge.md): add_knowledge: Add knowledge source to session.
- [Add Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-add_memory.md): add_memory: Add information to session memory.
- [chat • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-chat.md): chat: Send a message to the remote agent or handle local session.
- [Clear Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-clear_memory.md): clear_memory: Clear session memory.
- [Create Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-create_agent.md): create_agent: Backward compatibility wrapper for Agent method
- [Get Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-get_context.md): get_context: Build context from session memory and knowledge.
- [Get State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-get_state.md): get_state: Get a specific state value
- [Increment State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-increment_state.md): increment_state: Increment a numeric state value
- [knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-knowledge.md): knowledge: Lazy-loaded knowledge instance
- [memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-memory.md): memory: Lazy-loaded memory instance
- [Restore State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-restore_state.md): restore_state: Restore session state from memory.
- [Save State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-save_state.md): save_state: Save session state data to memory.
- [Search Knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-search_knowledge.md): search_knowledge: Search session knowledge base.
- [Search Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-search_memory.md): search_memory: Search session memory.
- [Send Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-send_message.md): send_message: Alias for chat() method to match Google ADK pattern.
- [Set State • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Session-set_state.md): set_state: Set a specific state value
- [Check And Add • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SessionDeduplicationCache-check_and_add.md): check_and_add: Check if content hash exists and add if new.
- [clear • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SessionDeduplicationCache-clear.md): clear: Clear the cache.
- [Get Stats • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/SessionDeduplicationCache-get_stats.md): get_stats: Get deduplication statistics.
- [Depends On • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-depends_on.md): depends_on: Alias for context - sets the list of dependent tasks.
- [Evaluate When • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-evaluate_when.md): evaluate_when: Evaluate the 'when' condition against the given context.
- [Execute Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-execute_callback.md): execute_callback: Execute callback and store quality metrics if enabled
- [Execute Callback Sync • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-execute_callback_sync.md): execute_callback_sync: Synchronous wrapper to ensure that execute_callback is awaited,
- [Get Next Task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-get_next_task.md): get_next_task: Get the next task name based on the 'when' condition evaluation.
- [Initialize Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-initialize_memory.md): initialize_memory: Initialize memory if config exists but memory doesn't
- [Store In Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/Task-store_in_memory.md): store_in_memory: Store content in memory with metadata
- [estimate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/TokenEstimator-estimate.md): estimate: Estimate tokens for text.
- [Estimate Messages • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/TokenEstimator-estimate_messages.md): estimate_messages: Estimate tokens for a list of messages.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VerificationHook-run.md): run: Run the verification hook.
- [acontent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-acontent.md): acontent: Async version of content().
- [adownload • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-adownload.md): adownload: Async version of download().
- [agenerate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-agenerate.md): agenerate: Async version of generate().
- [alist • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-alist.md): alist: Async version of list().
- [aremix • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-aremix.md): aremix: Async version of remix().
- [arun • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-arun.md): arun: Async version of run().
- [astart • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-astart.md): astart: Async version of start().
- [astatus • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-astatus.md): astatus: Async version of status().
- [Await Completion • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-await_completion.md): await_completion: Async version of wait_for_completion().
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-console.md): console: Lazily initialize Rich Console.
- [content • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-content.md): content: Download the video content.
- [download • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-download.md): download: Download a video to a file.
- [generate • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-generate.md): generate: Generate a video from a text prompt.
- [list • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-list.md): list: List all videos for the current account.
- [remix • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-remix.md): remix: Remix/edit an existing video.
- [run • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-run.md): run: Generate video silently (production use).
- [start • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-start.md): start: Generate video with optional wait and file output.
- [status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-status.md): status: Check the status of a video generation.
- [Video Module • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-video_module.md): video_module: Lazy load litellm.videos module when needed.
- [Wait For Completion • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VideoAgent-wait_for_completion.md): wait_for_completion: Wait for video generation to complete.
- [aanalyze • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-aanalyze.md): aanalyze: Async version of analyze().
- [acompare • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-acompare.md): acompare: Async version of compare().
- [adescribe • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-adescribe.md): adescribe: Async version of describe().
- [Aextract Text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-aextract_text.md): aextract_text: Async version of extract_text().
- [analyze • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-analyze.md): analyze: Analyze an image and return analysis.
- [compare • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-compare.md): compare: Compare multiple images.
- [console • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-console.md): console: Lazily initialize Rich Console.
- [describe • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-describe.md): describe: Generate a detailed description of an image.
- [Extract Text • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-extract_text.md): extract_text: Extract text from an image (OCR-like functionality).
- [litellm • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/VisionAgent-litellm.md): litellm: Lazy load litellm module when needed.
- [Add Approval Requirement • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/add_approval_requirement.md): add_approval_requirement: Dynamically add approval requirement for a tool.
- [Add Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/add_hook.md): add_hook: Register a hook callback. Simplified API.
- [Adisplay Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_error.md): adisplay_error: Async version of display_error.
- [Adisplay Generating • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_generating.md): adisplay_generating: Async version of display_generating.
- [Adisplay Instruction • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_instruction.md): adisplay_instruction: Async version of display_instruction.
- [Adisplay Interaction • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_interaction.md): adisplay_interaction: Async version of display_interaction.
- [Adisplay Self Reflection • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_self_reflection.md): adisplay_self_reflection: Async version of display_self_reflection.
- [Adisplay Tool Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/adisplay_tool_call.md): adisplay_tool_call: Async version of display_tool_call.
- [aembedding • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/aembedding.md): aembedding: Async: Generate embeddings for text using LiteLLM.
- [After Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/after_model.md): after_model: Decorator to mark a function as an after_model hook.
- [After Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/after_tool.md): after_tool: Decorator to mark a function as an after_tool hook.
- [Apply Config Defaults • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/apply_config_defaults.md): apply_config_defaults: Apply config defaults to a parameter if not explicitly set.
- [Before Model • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/before_model.md): before_model: Decorator to mark a function as a before_model hook.
- [Before Tool • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/before_tool.md): before_tool: Decorator to mark a function as a before_tool hook.
- [Categorize Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/categorize_hooks.md): categorize_hooks: Categorize hooks by their type.
- [Clean Triple Backticks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/clean_triple_backticks.md): clean_triple_backticks: Remove triple backticks and surrounding json fences from a string.
- [Cleanup Telemetry Resources • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/cleanup_telemetry_resources.md): cleanup_telemetry_resources: Clean up telemetry resources including thread pools and queues.
- [Clear Approval Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/clear_approval_context.md): clear_approval_context: Clear the approval context.
- [Clear Config Cache • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/clear_config_cache.md): clear_config_cache: Clear the config cache (for testing).
- [Configure Default Approvals • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/configure_default_approvals.md): configure_default_approvals: Configure default dangerous tools to require approval.
- [Console Approval Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/console_approval_callback.md): console_approval_callback: Default console-based approval callback.
- [Create Context Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/create_context_agent.md): create_context_agent: Factory function to create a ContextAgent following Context Engineering and PRD methodology.
- [Create Context Manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/create_context_manager.md): create_context_manager: Create a context manager with proper config precedence.
- [Create Retrieval Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/create_retrieval_config.md): create_retrieval_config: Create RetrievalConfig from various input formats.
- [Deduplicate Topics • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/deduplicate_topics.md): deduplicate_topics: Programmatic deduplication of topics/items before agent processing.
- [Detect URL Scheme • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/detect_url_scheme.md): detect_url_scheme: Detect URL scheme from a string. O(1) operation.
- [disable • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/disable.md): disable: Disable plugins.
- [Disable Performance Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/disable_performance_mode.md): disable_performance_mode: Disable performance mode to resume full telemetry tracking.
- [Disable Telemetry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/disable_telemetry.md): disable_telemetry: Disable telemetry.
- [Display Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_error.md): display_error: API reference for display_error
- [Display Generating • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_generating.md): display_generating: API reference for display_generating
- [Display Instruction • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_instruction.md): display_instruction: API reference for display_instruction
- [Display Interaction • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_interaction.md): display_interaction: Synchronous version of display_interaction.
- [Display Reasoning Steps • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_reasoning_steps.md): display_reasoning_steps: Display reasoning steps with unique numbered circles.
- [Display Self Reflection • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_self_reflection.md): display_self_reflection: API reference for display_self_reflection
- [Display Tool Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_tool_call.md): display_tool_call: Display tool call information in PraisonAI's unique timeline format.
- [Display Working Status • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/display_working_status.md): display_working_status: Display animated working status with pulsing dots.
- [embedding • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/embedding.md): embedding: Generate embeddings for text using LiteLLM.
- [enable • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/enable.md): enable: Enable the plugin system.
- [Enable Performance Mode • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/enable_performance_mode.md): enable_performance_mode: Enable performance mode for minimal telemetry overhead.
- [Enable Telemetry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/enable_telemetry.md): enable_telemetry: Enable telemetry (if not disabled by environment).
- [Encode File To Base64 • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/encode_file_to_base64.md): encode_file_to_base64: Base64-encode a file.
- [Ensure Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/ensure_dir.md): ensure_dir: Ensure a directory exists, creating it if necessary.
- [Evaluate Condition • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/evaluate_condition.md): evaluate_condition: Evaluate a condition expression with variable substitution.
- [Execute Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/execute_callback.md): execute_callback: Execute both sync and async callbacks for a given display type.
- [Execute Sync Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/execute_sync_callback.md): execute_sync_callback: Execute synchronous callback for a given display type without displaying anything.
- [Force Shutdown Telemetry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/force_shutdown_telemetry.md): force_shutdown_telemetry: Force shutdown of telemetry system with comprehensive cleanup.
- [Format Percent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/format_percent.md): format_percent: Smart percentage formatting for context utilization display.
- [Get All Paths • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_all_paths.md): get_all_paths: Get all PraisonAI data paths.
- [Get Approval Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_approval_callback.md): get_approval_callback: Get the current approval callback function.
- [Get Cache Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_cache_dir.md): get_cache_dir: Get cache directory (disposable data).
- [Get Checkpoints Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_checkpoints_dir.md): get_checkpoints_dir: Get checkpoints directory.
- [Get Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_config.md): get_config: Get the global configuration.
- [Get Config Path • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_config_path.md): get_config_path: Get the path to the config file if it exists.
- [Get Data Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_data_dir.md): get_data_dir: Get PraisonAI data directory.
- [Get Default • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_default.md): get_default: Get a specific default value.
- [Get Default Registry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_default_registry.md): get_default_registry: Get the default global hook registry.
- [Get Defaults Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_defaults_config.md): get_defaults_config: Get defaults configuration.
- [Get Dimensions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_dimensions.md): get_dimensions: Get embedding dimensions based on model name.
- [Get Docs Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_docs_dir.md): get_docs_dir: Get docs directory.
- [Get Enabled Plugins • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_enabled_plugins.md): get_enabled_plugins: Get list of enabled plugins (if specific list provided).
- [Get Hook Type • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_hook_type.md): get_hook_type: Get the hook type of a decorated function.
- [Get Learn Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_learn_dir.md): get_learn_dir: Get learn directory for learning stores.
- [Get MCP Auth Path • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_mcp_auth_path.md): get_mcp_auth_path: Get path to MCP auth storage file.
- [Get MCP Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_mcp_dir.md): get_mcp_dir: Get MCP config directory.
- [Get Memory Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_memory_dir.md): get_memory_dir: Get memory directory for short/long term databases.
- [Get Multimodal Message • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_multimodal_message.md): get_multimodal_message: Build multimodal message content for LLM with text and images.
- [Get Permission Allowlist • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_permission_allowlist.md): get_permission_allowlist: Get the global permission allowlist.
- [Get Permissions Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_permissions_dir.md): get_permissions_dir: Get permissions directory.
- [Get Plugins Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_plugins_config.md): get_plugins_config: Get plugins configuration.
- [Get Plugins Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_plugins_dir.md): get_plugins_dir: Get user plugins directory.
- [Get Project Data Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_project_data_dir.md): get_project_data_dir: Get project-level data directory.
- [Get Prp Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_prp_dir.md): get_prp_dir: Get PRP (Prompt Response Pair) output directory.
- [Get Risk Level • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_risk_level.md): get_risk_level: Get the risk level of a tool.
- [Get Rules Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_rules_dir.md): get_rules_dir: Get rules directory.
- [Get Runs Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_runs_dir.md): get_runs_dir: Get runs directory for artifacts.
- [Get Sessions Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_sessions_dir.md): get_sessions_dir: Get sessions directory.
- [Get Skills Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_skills_dir.md): get_skills_dir: Get user skills directory.
- [Get Snapshots Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_snapshots_dir.md): get_snapshots_dir: Get snapshots directory.
- [Get Storage Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_storage_dir.md): get_storage_dir: Get generic storage directory.
- [Get Summaries Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_summaries_dir.md): get_summaries_dir: Get summaries directory for RAG.
- [Get Telemetry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_telemetry.md): get_telemetry: Get the global telemetry instance.
- [Get Workflows Dir • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/get_workflows_dir.md): get_workflows_dir: Get workflows directory.
- [handoff • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/handoff.md): handoff: Create a handoff configuration for delegating tasks to another agent.
- [Keep Last N Messages • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/handoff_filters-keep_last_n_messages.md): keep_last_n_messages: Keep only the last n messages in the history.
- [Remove All Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/handoff_filters-remove_all_tools.md): remove_all_tools: Remove all tool calls from the message history.
- [Remove System Messages • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/handoff_filters-remove_system_messages.md): remove_system_messages: Remove all system messages from the history.
- [Has Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/has_hook.md): has_hook: Check if any hooks are registered for an event. Simplified API.
- [Is Already Approved • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_already_approved.md): is_already_approved: Check if a tool is already approved in the current context.
- [Is Approval Required • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_approval_required.md): is_approval_required: Check if a tool requires approval.
- [Is Enabled • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_enabled.md): is_enabled: Check if plugins are enabled.
- [Is Env Auto Approve • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_env_auto_approve.md): is_env_auto_approve: Check if PRAISONAI_AUTO_APPROVE environment variable is set.
- [Is Middleware • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_middleware.md): is_middleware: Check if a function is a middleware (wrap_* type).
- [Is Numeric String • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_numeric_string.md): is_numeric_string: Check if a string is numeric. O(1) operation.
- [Is Path Like • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_path_like.md): is_path_like: Check if a string looks like a file path. O(1) operation.
- [Is Plugins Enabled • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_plugins_enabled.md): is_plugins_enabled: Check if plugins are enabled via config or env var.
- [Is Policy String • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_policy_string.md): is_policy_string: Check if a string is a policy specification. O(1) operation.
- [Is Yaml Approved • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/is_yaml_approved.md): is_yaml_approved: Check if a tool is auto-approved via YAML approve field.
- [List Plugins • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/list_plugins.md): list_plugins: List all discovered plugins.
- [Make Array Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/make_array_error.md): make_array_error: Create a helpful error message for invalid array format.
- [Make Preset Error • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/make_preset_error.md): make_preset_error: Create a helpful error message for invalid preset.
- [Mark Approved • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/mark_approved.md): mark_approved: Mark a tool as approved in the current context.
- [Merge Config With Overrides • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/merge_config_with_overrides.md): merge_config_with_overrides: Merge a base config with override dict.
- [Parse Policy String • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/parse_policy_string.md): parse_policy_string: Parse a policy string into type and action. O(1) operation.
- [Parse URL To Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/parse_url_to_config.md): parse_url_to_config: Parse a URL string into a config object.
- [Process Task Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/process_task_context.md): process_task_context: Process a single context item for task execution.
- [Process Video • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/process_video.md): process_video: Split video into frames (base64-encoded).
- [Prompt With Handoff Instructions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/prompt_with_handoff_instructions.md): prompt_with_handoff_instructions: Add handoff instructions to an agent's prompt.
- [Register Approval Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/register_approval_callback.md): register_approval_callback: Register a global approval callback function for dangerous tool operations.
- [Register Display Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/register_display_callback.md): register_display_callback: Register a synchronous or asynchronous callback function for a specific display type.
- [Remove Approval Requirement • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/remove_approval_requirement.md): remove_approval_requirement: Remove approval requirement for a tool.
- [Remove Hook • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/remove_hook.md): remove_hook: Remove a hook by ID. Simplified API.
- [Request Approval • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/request_approval.md): request_approval: Request approval for a tool execution.
- [Require Approval • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/require_approval.md): require_approval: Decorator to mark a tool as requiring human approval.
- [Reset Yaml Approved Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/reset_yaml_approved_tools.md): reset_yaml_approved_tools: Reset YAML-approved tools to previous state.
- [resolve • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve.md): resolve: Resolve a consolidated parameter following precedence rules:
- [Resolve Autonomy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_autonomy.md): resolve_autonomy: Resolve autonomy parameter.
- [Resolve Batch • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_batch.md): resolve_batch: Resolve multiple parameters in a single batch call for performance.
- [Resolve Caching • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_caching.md): resolve_caching: Resolve caching parameter.
- [Resolve Context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_context.md): resolve_context: Resolve context parameter.
- [Resolve Execution • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_execution.md): resolve_execution: Resolve execution parameter.
- [Resolve Guardrail Policies • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_guardrail_policies.md): resolve_guardrail_policies: Resolve a list of policy strings into a guardrail config.
- [Resolve Guardrails • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_guardrails.md): resolve_guardrails: Resolve guardrails parameter.
- [Resolve Hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_hooks.md): resolve_hooks: Resolve hooks parameter.
- [Resolve Knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_knowledge.md): resolve_knowledge: Resolve knowledge parameter.
- [Resolve Memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_memory.md): resolve_memory: Resolve memory parameter.
- [Resolve Output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_output.md): resolve_output: Resolve output parameter.
- [Resolve Planning • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_planning.md): resolve_planning: Resolve planning parameter.
- [Resolve Reflection • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_reflection.md): resolve_reflection: Resolve reflection parameter.
- [Resolve Routing • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_routing.md): resolve_routing: Resolve routing parameter (workflow steps).
- [Resolve Skills • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_skills.md): resolve_skills: Resolve skills parameter.
- [Resolve Web • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/resolve_web.md): resolve_web: Resolve web parameter.
- [Set Approval Callback • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/set_approval_callback.md): set_approval_callback: Set a custom approval callback function.
- [Set Default Registry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/set_default_registry.md): set_default_registry: Set the default global hook registry.
- [Set Permission Allowlist • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/set_permission_allowlist.md): set_permission_allowlist: Set the global permission allowlist.
- [Set Yaml Approved Tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/set_yaml_approved_tools.md): set_yaml_approved_tools: Set the list of YAML-approved tools for the current context.
- [Suggest Similar • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/suggest_similar.md): suggest_similar: Find the most similar string from candidates using Levenshtein distance.
- [trace • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/trace.md): trace: API reference for trace
- [Track Workflow • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/track_workflow.md): track_workflow: Create a flow display tracker.
- [Validate Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/validate_config.md): validate_config: Validate config file structure and types.
- [Wrap Model Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/wrap_model_call.md): wrap_model_call: Decorator to mark a function as a wrap_model_call middleware.
- [Wrap Tool Call • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/functions/wrap_tool_call.md): wrap_tool_call: Decorator to mark a function as a wrap_tool_call middleware.
- [A2A • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/a2a.md): A2A Protocol Integration for PraisonAI Agents
- [agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/agent.md): Module reference for agent
- [agents • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/agents.md): Module reference for agents
- [agui • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/agui.md): AG-UI Protocol Integration for PraisonAI Agents
- [app • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/app.md): App module for production deployment of AI agents.
- [approval • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/approval.md): Human Approval Framework for PraisonAI Agents
- [Audio Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/audio_agent.md): AudioAgent - A specialized agent class for audio processing using AI models.
- [Auto RAG Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/auto_rag_agent.md): AutoRagAgent - Agent with automatic RAG retrieval decision.
- [autoagents • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/autoagents.md): AutoAgents - A class for automatically creating and managing AI agents and tasks.
- [background • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/background.md): Background Agents Module for PraisonAI Agents.
- [bots • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/bots.md): Bot Protocols for PraisonAI Agents.
- [bus • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/bus.md): Event Bus Module for PraisonAI Agents.
- [checkpoints • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/checkpoints.md): Checkpoints Module for PraisonAI Agents.
- [chunking • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/chunking.md): Module reference for chunking
- [Code Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/code_agent.md): CodeAgent - Code generation, execution, review, and refactoring with sandboxing.
- [compaction • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/compaction.md): Auto Context Compaction Module for PraisonAI Agents.
- [conditions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/conditions.md): Conditions Module - Unified condition evaluation for workflows.
- [config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/config.md): Sandbox Configuration for PraisonAI Agents.
- [context • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/context.md): Context Management Module for PraisonAI Agents.
- [Context Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/context_agent.md): ContextAgent - Advanced Context Engineering for AI Coding Assistants
- [DB • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/db.md): Database adapter interface for PraisonAI Agents.
- [Deep Research Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/deep_research_agent.md): Deep Research Agent Module
- [dimensions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/dimensions.md): Embedding dimension utilities.
- [embed • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/embed.md): Core embedding functions.
- [embedding • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/embedding.md): Embedding module for PraisonAI Agents.
- [Embedding Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/embedding_agent.md): EmbeddingAgent - A specialized agent for generating text embeddings.
- [escalation • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/escalation.md): Escalation Module for PraisonAI Agents.
- [eval • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/eval.md): PraisonAI Agents Evaluation Framework.
- [evaluator • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/evaluator.md): Condition Evaluator - Shared condition evaluation logic.
- [events • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/events.md): Event-specific input types for the hook system.
- [failover • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/failover.md): Model Failover for PraisonAI Agents.
- [fast • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/fast.md): Fast Context module for rapid parallel code search.
- [Feature Configs • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/feature_configs.md): Feature Configuration Classes for PraisonAI Agents.
- [Flow Display • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/flow_display.md): Flow Display for PraisonAI Agents
- [gateway • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/gateway.md): Gateway module for PraisonAI Agents.
- [guardrails • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/guardrails.md): Guardrails module for PraisonAI Agents.
- [handoff • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/handoff.md): Handoff functionality for agent-to-agent delegation.
- [hooks • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/hooks.md): Hooks Module for PraisonAI Agents.
- [Image Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/image_agent.md): ImageAgent - A specialized agent class for generating images using AI models.
- [knowledge • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/knowledge.md): Module reference for knowledge
- [LLM • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/llm.md): LLM Module for PraisonAI Agents.
- [loader • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/loader.md): Configuration Loader for PraisonAI Agents.
- [lsp • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/lsp.md): LSP Integration Module for PraisonAI Agents.
- [main • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/main.md): Module reference for main
- [manager • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/manager.md): Context Manager Facade for PraisonAI Agents.
- [MCP • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/mcp.md): Module reference for mcp
- [memory • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/memory.md): Module reference for memory
- [middleware • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/middleware.md): Middleware System for PraisonAI Agents.
- [models • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/models.md): RAG Data Models for PraisonAI Agents.
- [obs • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/obs.md): Observability interface for PraisonAI Agents.
- [Ocr Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/ocr_agent.md): OCRAgent - A specialized agent class for OCR (Optical Character Recognition).
- [output • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/output.md): Output Styles Module for PraisonAI Agents.
- [Param Resolver • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/param_resolver.md): Unified Parameter Resolver for Consolidated Parameters.
- [Parse Utils • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/parse_utils.md): Parse Utilities for Consolidated Parameter Resolution.
- [paths • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/paths.md): Centralized Path Utilities for PraisonAI Agents.
- [permissions • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/permissions.md): Permissions Module for PraisonAI Agents.
- [planning • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/planning.md): Planning Module for PraisonAI Agents.
- [plugins • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/plugins.md): Plugin Module for PraisonAI Agents.
- [policy • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/policy.md): Exec Policy Engine for PraisonAI Agents.
- [presets • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/presets.md): Preset Registries for Consolidated Parameters.
- [process • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/process.md): Module reference for process
- [Prompt Expander Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/prompt_expander_agent.md): Prompt Expander Agent Module
- [protocols • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/protocols.md): Sandbox Protocols for PraisonAI Agents.
- [Query Rewriter Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/query_rewriter_agent.md): Query Rewriter Agent Module
- [RAG • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/rag.md): PraisonAI RAG - Retrieval Augmented Generation Module.
- [Realtime Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/realtime_agent.md): RealtimeAgent - Real-time voice conversations using OpenAI Realtime API.
- [registry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/registry.md): Hook Registry for PraisonAI Agents.
- [result • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/result.md): EmbeddingResult dataclass for embedding responses.
- [Retrieval Config • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/retrieval_config.md): RetrievalConfig - Unified configuration for Agent retrieval behavior.
- [runner • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/runner.md): Hook Runner for PraisonAI Agents.
- [sandbox • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/sandbox.md): Sandbox Protocols for PraisonAI Agents.
- [server • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/server.md): Server Module for PraisonAI Agents.
- [session • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/session.md): Session Management for PraisonAI Agents
- [skills • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/skills.md): Agent Skills module for PraisonAI Agents.
- [snapshot • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/snapshot.md): Snapshot Module for PraisonAI Agents.
- [storage • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/storage.md): PraisonAI Agents Storage Framework.
- [streaming • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/streaming.md): PraisonAI Streaming Module.
- [task • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/task.md): Module reference for task
- [telemetry • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/telemetry.md): PraisonAI Agents Telemetry & Performance Monitoring Module
- [thinking • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/thinking.md): Extended Thinking Budgets Module for PraisonAI Agents.
- [tools • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/tools.md): Tools package for PraisonAI Agents - uses lazy loading for performance
- [trace • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/trace.md): Trace Module for PraisonAI Agents.
- [types • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/types.md): Hook Types for PraisonAI Agents.
- [ui • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/ui.md): UI Integrations for PraisonAI Agents
- [verification • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/verification.md): Verification Hooks Protocol for PraisonAI Agents.
- [Video Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/video_agent.md): VideoAgent - A specialized agent class for generating videos using AI models.
- [Vision Agent • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/vision_agent.md): VisionAgent - A specialized agent for image analysis and understanding.
- [workflows • AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/praisonaiagents/modules/workflows.md): Workflows module for PraisonAI Agents.
- [A2 A • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2A.md): A2A: A2A Interface for PraisonAI Agents Exposes a PraisonAI Agent via the A2A (Agent2Agent) protocol, enabling agent-to-agent communication with other...
- [A2 A Agent Capabilities • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2AAgentCapabilities.md): A2AAgentCapabilities: A2A Agent Capabilities
- [A2 A Agent Card • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2AAgentCard.md): A2AAgentCard: A2A Agent Card - Discovery information for an agent
- [A2 A Agent Skill • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2AAgentSkill.md): A2AAgentSkill: A2A Agent Skill definition
- [A2 A Task • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2ATask.md): A2ATask: A2A Task definition
- [A2 A Task State • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/A2ATaskState.md): A2ATaskState: A2A Task State enum
- [A GUI • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUI.md): AGUI: AG-UI Interface for PraisonAI Agents Exposes a PraisonAI Agent via the AG-UI protocol, enabling integration with CopilotKit and other AG-UI...
- [A GUI Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUIEvent.md): AGUIEvent: AGUI Base Event
- [A GUI Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUIEventType.md): AGUIEventType: AGUI Event Type
- [A GUI Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUIMessage.md): AGUIMessage: AGUI Message
- [A GUI Role • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUIRole.md): AGUIRole: AGUI Message Role
- [A GUI Run Input • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AGUIRunInput.md): AGUIRunInput: AGUI Run Input
- [Accuracy Evaluator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AccuracyEvaluator.md): AccuracyEvaluator: Evaluator for accuracy (comparing output to expected).
- [Accuracy Evaluator Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AccuracyEvaluatorBuilder.md): AccuracyEvaluatorBuilder: Builder for AccuracyEvaluator.
- [Accuracy Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AccuracyResult.md): AccuracyResult: Result from an accuracy evaluation.
- [Add Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AddResult.md): AddResult: Result of adding content to knowledge store.
- [Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Agent.md): Agent: The core Agent struct Agents are the primary execution unit in PraisonAI. They combine: - LLM provider for generating responses - Tools for...
- [Agent App Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentAppConfig.md): AgentAppConfig: Agent application configuration
- [Agent App Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentAppProtocol.md): AgentAppProtocol: Agent application protocol
- [Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentBuilder.md): AgentBuilder: Builder for creating agents
- [Agent Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentConfig.md): AgentConfig: Configuration for an agent
- [Agent Flow • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentFlow.md): AgentFlow: AgentFlow - Workflow definition with patterns Defines complex workflow patterns like Route, Parallel, Loop.
- [Agent Metrics • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentMetrics.md): AgentMetrics: Agent metrics for reporting.
- [Agent OS Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentOSConfig.md): AgentOSConfig: Agent OS configuration.
- [Agent OS Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentOSProtocol.md): AgentOSProtocol: Protocol for Agent OS integration.
- [Agent Plugin Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentPluginProtocol.md): AgentPluginProtocol: Agent lifecycle plugin protocol
- [Agent Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentProtocol.md): AgentProtocol: Minimal Protocol for agent implementations. This defines the essential interface that any agent must provide. It enables proper mocking and testing...
- [Agent Team • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentTeam.md): AgentTeam: Agent team for multi-agent workflows Coordinates multiple agents to work together on tasks.
- [Agent Team Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AgentTeamBuilder.md): AgentTeamBuilder: Builder for AgentTeam
- [API Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ApiStats.md): ApiStats: Statistics for API calls.
- [Approval Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ApprovalCallback.md): ApprovalCallback: Approval callback trait
- [Approval Decision • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ApprovalDecision.md): ApprovalDecision: Approval decision
- [Array Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ArrayMode.md): ArrayMode: Array parsing modes for parameter resolution
- [Async Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AsyncDisplayCallback.md): AsyncDisplayCallback: Display callback trait for asynchronous callbacks
- [Async Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AsyncGuardrail.md): AsyncGuardrail: Trait for asynchronous guardrail validation.
- [Async Stream Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AsyncStreamCallback.md): AsyncStreamCallback: Trait for asynchronous stream event callbacks.
- [Audio Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AudioAgent.md): AudioAgent: A specialized agent for audio processing using AI models. Provides Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities.
- [Audio Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AudioAgentBuilder.md): AudioAgentBuilder: Builder for AudioAgent
- [Audio Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AudioConfig.md): AudioConfig: Configuration for audio processing settings.
- [Auth Profile • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AuthProfile.md): AuthProfile: Authentication profile for an LLM provider.
- [Auto Agent Spec • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutoAgentSpec.md): AutoAgentSpec: Auto-generated agent specification
- [Auto Agents • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutoAgents.md): AutoAgents: Auto agents for automatic agent generation
- [Auto Agents Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutoAgentsConfig.md): AutoAgentsConfig: Auto agents configuration
- [Auto RAG Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutoRagAgent.md): AutoRagAgent: Auto RAG agent for automatic RAG setup
- [Auto RAG Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutoRagConfig.md): AutoRagConfig: Auto RAG configuration
- [Autonomy Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutonomyConfig.md): AutonomyConfig: Configuration for agent autonomy
- [Autonomy Level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutonomyLevel.md): AutonomyLevel: Autonomy levels for agent behavior
- [Autonomy Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/AutonomyPreset.md): AutonomyPreset: Autonomy preset configuration
- [Blocklist Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BlocklistGuardrail.md): BlocklistGuardrail: Keyword blocklist guardrail.
- [Bot Action • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotAction.md): BotAction: A bot action/button.
- [Bot Attachment • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotAttachment.md): BotAttachment: A bot attachment.
- [Bot Channel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotChannel.md): BotChannel: Represents a channel/chat in a messaging platform.
- [Bot Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotConfig.md): BotConfig: Configuration for a bot.
- [Bot Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotMessage.md): BotMessage: A bot message.
- [Bot Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotProtocol.md): BotProtocol: Bot protocol for chat integrations.
- [Bot Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotResponse.md): BotResponse: A bot response.
- [Bot User • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BotUser.md): BotUser: Represents a user in a messaging platform.
- [Budget Allocation • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BudgetAllocation.md): BudgetAllocation: Budget allocation for different context components.
- [Budget Level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/BudgetLevel.md): BudgetLevel: Predefined budget levels for thinking.
- [Caching Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CachingConfig.md): CachingConfig: Configuration for caching behavior
- [Caching Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CachingPreset.md): CachingPreset: Caching preset configuration
- [Chunking • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Chunking.md): Chunking: Chunking utility.
- [Chunking Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ChunkingConfig.md): ChunkingConfig: Chunking configuration.
- [Chunking Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ChunkingStrategy.md): ChunkingStrategy: Chunking strategy.
- [Citation • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Citation.md): Citation: A citation referencing a source document.
- [Citations Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CitationsMode.md): CitationsMode: Citations mode for RAG.
- [Code Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CodeAgent.md): CodeAgent: A specialized agent for code generation and execution.
- [Code Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CodeAgentBuilder.md): CodeAgentBuilder: Builder for CodeAgent
- [Code Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CodeConfig.md): CodeConfig: Configuration for code execution settings.
- [Code Execution Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CodeExecutionResult.md): CodeExecutionResult: Result of code execution
- [Code Execution Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CodeExecutionStep.md): CodeExecutionStep: Represents a code execution step during research
- [Color Palette • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ColorPalette.md): ColorPalette: PraisonAI color palette for consistent UI
- [Condition Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ConditionProtocol.md): ConditionProtocol: Protocol trait for condition implementations. This defines the essential interface that any condition must provide. It enables unified condition...
- [Config Validation Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ConfigValidationError.md): ConfigValidationError: Configuration validation error
- [Connection Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ConnectionStatus.md): ConnectionStatus: Connection status for MCP.
- [Console Exporter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ConsoleExporter.md): ConsoleExporter: Console exporter (prints to stdout).
- [Context Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextAgent.md): ContextAgent: Context agent for managing conversation context
- [Context Agent Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextAgentConfig.md): ContextAgentConfig: Context agent configuration
- [Context Budgeter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextBudgeter.md): ContextBudgeter: Manages context budget allocation.
- [Context Chunk • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextChunk.md): ContextChunk: A single context chunk.
- [Context Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextConfig.md): ContextConfig: Configuration for context management.
- [Context Entry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextEntry.md): ContextEntry: Context entry
- [Context Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextEvent.md): ContextEvent: A context event for replay/debugging.
- [Context Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextEventType.md): ContextEventType: Type of context event.
- [Context Ledger • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextLedger.md): ContextLedger: Tracks token usage across different context segments.
- [Context List Sink • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextListSink.md): ContextListSink: List sink (stores events in memory).
- [Context Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextManager.md): ContextManager: High-level context manager facade.
- [Context No Op Sink • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextNoOpSink.md): ContextNoOpSink: No-op sink (does nothing, zero overhead).
- [Context Pack • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextPack.md): ContextPack: A pack of context chunks for RAG.
- [Context Policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextPolicy.md): ContextPolicy: Policy for context sharing during handoff.
- [Context Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextPreset.md): ContextPreset: Context preset configuration
- [Context Segment • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextSegment.md): ContextSegment: A segment of context with token count.
- [Context Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextStrategy.md): ContextStrategy: Context strategy
- [Context Trace Emitter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextTraceEmitter.md): ContextTraceEmitter: Context trace emitter.
- [Context Trace Sink • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextTraceSink.md): ContextTraceSink: Context trace sink for collecting traces
- [Context Trace Sink Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ContextTraceSinkProtocol.md): ContextTraceSinkProtocol: Protocol trait for context trace sinks.
- [Conversation History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ConversationHistory.md): ConversationHistory: Conversation history storage
- [Criteria Evaluator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CriteriaEvaluator.md): CriteriaEvaluator: Evaluator for custom criteria.
- [Criteria Evaluator Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CriteriaEvaluatorBuilder.md): CriteriaEvaluatorBuilder: Builder for CriteriaEvaluator.
- [Criteria Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CriteriaResult.md): CriteriaResult: Result from a criteria evaluation.
- [Criteria Score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/CriteriaScore.md): CriteriaScore: Score for a specific criterion.
- [DB Adapter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DbAdapter.md): DbAdapter: Database adapter trait
- [Deep Research Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DeepResearchAgent.md): DeepResearchAgent: Agent for deep research using specialized APIs.
- [Deep Research Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DeepResearchAgentBuilder.md): DeepResearchAgentBuilder: Builder for DeepResearchAgent.
- [Deep Research Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DeepResearchConfig.md): DeepResearchConfig: Configuration for deep research settings.
- [Deep Research Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DeepResearchResponse.md): DeepResearchResponse: Complete response from a Deep Research query
- [Deep Research Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DeepResearchResult.md): DeepResearchResult: Result of deep research.
- [Defaults Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DefaultsConfig.md): DefaultsConfig: Defaults configuration for Agent parameters
- [Dict Condition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DictCondition.md): DictCondition: Dictionary-based condition for routing. Maps values to target tasks/steps.
- [Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DisplayCallback.md): DisplayCallback: Display callback trait for synchronous callbacks
- [Display Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DisplayEvent.md): DisplayEvent: Display event
- [Display Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DisplayEventType.md): DisplayEventType: Display event types
- [Display Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/DisplayType.md): DisplayType: Types of display events
- [Document • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Document.md): Document: A document in the knowledge base.
- [Embedding Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EmbeddingAgent.md): EmbeddingAgent: Agent for generating text embeddings. Provides embedding capabilities for text using AI embedding models, with support for batch processing and...
- [Embedding Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EmbeddingAgentBuilder.md): EmbeddingAgentBuilder: Builder for EmbeddingAgent.
- [Embedding Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EmbeddingConfig.md): EmbeddingConfig: Configuration for embedding generation.
- [Embedding Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EmbeddingResult.md): EmbeddingResult: Embedding result
- [Embedding Usage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EmbeddingUsage.md): EmbeddingUsage: Embedding usage statistics
- [Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Error.md): Error: Main error type for PraisonAI Core
- [Error Log • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ErrorLog.md): ErrorLog: Error log entry
- [Evaluation Score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EvaluationScore.md): EvaluationScore: Score from an evaluation.
- [Evaluator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Evaluator.md): Evaluator: Base trait for evaluators.
- [Evaluator Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EvaluatorConfig.md): EvaluatorConfig: Configuration for evaluators.
- [Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Event.md): Event: An event in the event bus.
- [Event Bus • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EventBus.md): EventBus: Event bus for publish-subscribe messaging.
- [Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/EventType.md): EventType: Standard gateway event types.
- [Execution Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExecutionConfig.md): ExecutionConfig: Execution configuration
- [Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExecutionPreset.md): ExecutionPreset: Execution preset configuration
- [Expand Prompts • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExpandPrompts.md): ExpandPrompts: Prompt expansion prompts for each strategy
- [Expand Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExpandResult.md): ExpandResult: Result of prompt expansion
- [Expand Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExpandStrategy.md): ExpandStrategy: Expansion strategy for prompts
- [Expression Condition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ExpressionCondition.md): ExpressionCondition: Simple expression-based condition. Evaluates simple expressions like 'score  80' or 'status == 'approved''.
- [Failover Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FailoverConfig.md): FailoverConfig: Configuration for failover behavior.
- [Failover Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FailoverManager.md): FailoverManager: Manages failover between multiple LLM auth profiles. Provides automatic failover when rate limits or errors occur, with configurable retry behavior...
- [Failover Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FailoverStatus.md): FailoverStatus: Status information for the failover manager.
- [Fast Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FastContext.md): FastContext: Fast context for efficient context management
- [Fast Context Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FastContextConfig.md): FastContextConfig: Configuration for FastContext.
- [Fast Context Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FastContextResult.md): FastContextResult: Result of a fast context search.
- [File Match • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FileMatch.md): FileMatch: A file match from a search.
- [File Search Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FileSearchCall.md): FileSearchCall: Represents a file search call (Gemini-specific)
- [File Session Store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FileSessionStore.md): FileSessionStore: File-based session store (default)
- [Flow Display • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FlowDisplay.md): FlowDisplay: Flow display for workflow visualization
- [Flow Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FlowStep.md): FlowStep: A step in a workflow
- [Function Plugin • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FunctionPlugin.md): FunctionPlugin: A simple function-based plugin.
- [Function Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/FunctionStats.md): FunctionStats: Statistics for a tracked function.
- [Gateway Client Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayClientProtocol.md): GatewayClientProtocol: Protocol for gateway client connections. Clients are external connections (WebSocket, HTTP, etc.) that communicate with agents through the gateway.
- [Gateway Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayConfig.md): GatewayConfig: Configuration for a gateway.
- [Gateway Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayEvent.md): GatewayEvent: A gateway event with metadata.
- [Gateway Health • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayHealth.md): GatewayHealth: Gateway health status.
- [Gateway Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayMessage.md): GatewayMessage: A message sent through the gateway.
- [Gateway Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewayProtocol.md): GatewayProtocol: Protocol for gateway/control plane implementations. The gateway coordinates communication between clients and agents, manages sessions, and provides...
- [Gateway Session Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GatewaySessionProtocol.md): GatewaySessionProtocol: Protocol for gateway session management. Sessions track conversations between clients and agents, maintaining state and message history.
- [Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Guardrail.md): Guardrail: Trait for synchronous guardrail validation.
- [Guardrail Action • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GuardrailAction.md): GuardrailAction: Action to take when guardrail fails.
- [Guardrail Chain • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GuardrailChain.md): GuardrailChain: Chain of guardrails to run in sequence.
- [Guardrail Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GuardrailConfig.md): GuardrailConfig: Configuration for guardrails.
- [Guardrail Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GuardrailPreset.md): GuardrailPreset: Guardrail preset configuration
- [Guardrail Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/GuardrailResult.md): GuardrailResult: Result of a guardrail validation.
- [Handoff • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Handoff.md): Handoff: Represents a handoff configuration for delegating tasks to another agent. Handoffs are represented as tools to the LLM, allowing agents to transfer...
- [Handoff Chain • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffChain.md): HandoffChain: Thread-safe handoff chain tracker.
- [Handoff Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffConfig.md): HandoffConfig: Handoff configuration for agent-to-agent transfers
- [Handoff Cycle Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffCycleError.md): HandoffCycleError: Error when a cycle is detected in handoff chain.
- [Handoff Depth Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffDepthError.md): HandoffDepthError: Error when max handoff depth is exceeded.
- [Handoff Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffError.md): HandoffError: Base error type for handoff operations
- [Handoff Filter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffFilter.md): HandoffFilter: Handoff filter types
- [Handoff Filters • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffFilters.md): HandoffFilters: Handoff filter configuration
- [Handoff Input Data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffInputData.md): HandoffInputData: Data passed to a handoff target agent.
- [Handoff Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffResult.md): HandoffResult: Result of a handoff operation.
- [Handoff Timeout Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HandoffTimeoutError.md): HandoffTimeoutError: Error when handoff times out.
- [Hook Decision • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookDecision.md): HookDecision: Decision types for hook outputs
- [Hook Definition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookDefinition.md): HookDefinition: Hook definition
- [Hook Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookEvent.md): HookEvent: Event names for the hook system
- [Hook Input • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookInput.md): HookInput: Input data for hooks
- [Hook Plugin Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookPluginProtocol.md): HookPluginProtocol: Lifecycle hook plugin protocol
- [Hook Registry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookRegistry.md): HookRegistry: Hook registry for managing hooks
- [Hook Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookResult.md): HookResult: Result from a hook execution
- [Hook Runner • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HookRunner.md): HookRunner: Hook runner for executing hooks in a workflow
- [Hooks Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/HooksConfig.md): HooksConfig: Hooks configuration for before/after tool execution
- [If • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/If.md): If: Builder for creating conditions.
- [Image Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ImageAgent.md): ImageAgent: A specialized agent for generating images using AI models.
- [Image Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ImageAgentBuilder.md): ImageAgentBuilder: Builder for ImageAgent
- [Image Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ImageConfig.md): ImageConfig: Configuration for image generation settings.
- [Image Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ImageResult.md): ImageResult: Result of image generation
- [In Memory Adapter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/InMemoryAdapter.md): InMemoryAdapter: In-memory adapter (default)
- [In Memory Session Store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/InMemorySessionStore.md): InMemorySessionStore: In-memory session store (for testing)
- [In Memory Vector Store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/InMemoryVectorStore.md): InMemoryVectorStore: In-memory vector store implementation.
- [Index Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/IndexStats.md): IndexStats: Index statistics.
- [Index Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/IndexType.md): IndexType: Index type enum.
- [Json File Exporter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/JsonFileExporter.md): JsonFileExporter: JSON file exporter.
- [Judge • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Judge.md): Judge: A judge for evaluating outputs.
- [Judge Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/JudgeConfig.md): JudgeConfig: Configuration for a judge.
- [Judge Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/JudgeResult.md): JudgeResult: Result from a judge.
- [Knowledge • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Knowledge.md): Knowledge: Main knowledge manager.
- [Knowledge Backend Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/KnowledgeBackendError.md): KnowledgeBackendError: Knowledge backend error.
- [Knowledge Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/KnowledgeBuilder.md): KnowledgeBuilder: Builder for Knowledge
- [Knowledge Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/KnowledgeConfig.md): KnowledgeConfig: Knowledge configuration.
- [Knowledge Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/KnowledgePreset.md): KnowledgePreset: Knowledge preset configuration
- [Knowledge Store Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/KnowledgeStoreProtocol.md): KnowledgeStoreProtocol: Protocol for knowledge store backends.
- [LLM Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LLMGuardrail.md): LLMGuardrail: LLM-based guardrail for content validation
- [LLM Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LLMMessage.md): LlmMessage: An LLM message.
- [LLM Plugin Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LLMPluginProtocol.md): LLMPluginProtocol: LLM call hook plugin protocol
- [Length Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LengthGuardrail.md): LengthGuardrail: Content length guardrail.
- [Line Range • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LineRange.md): LineRange: A line range within a file.
- [LLM Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LlmConfig.md): LlmConfig: LLM configuration
- [LLM Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LlmProtocol.md): LlmProtocol: Protocol for LLM provider implementations.
- [LLM Provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LlmProvider.md): LlmProvider: Trait for LLM providers
- [LLM Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/LlmResponse.md): LlmResponse: An LLM response.
- [Loop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Loop.md): Loop: Loop pattern - iterate over items
- [MCP • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCP.md): MCP: Main MCP client.
- [MCP Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPBuilder.md): MCPBuilder: Builder for MCP
- [MCP Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPCall.md): MCPCall: An MCP tool call request.
- [MCP Call Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPCallResult.md): MCPCallResult: Result of an MCP tool call.
- [MCP Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPConfig.md): MCPConfig: Configuration for MCP client.
- [MCP Content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPContent.md): MCPContent: MCP content types.
- [MCP Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPPrompt.md): MCPPrompt: An MCP prompt template.
- [MCP Prompt Argument • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPPromptArgument.md): MCPPromptArgument: An MCP prompt argument.
- [MCP Resource • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPResource.md): MCPResource: An MCP resource.
- [MCP Server • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPServer.md): MCPServer: MCP server for exposing tools.
- [MCP Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MCPTool.md): MCPTool: An MCP tool definition.
- [Manager Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ManagerConfig.md): ManagerConfig: Manager configuration for multi-agent workflows
- [Memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Memory.md): Memory: Memory manager for agents
- [Memory Adapter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryAdapter.md): MemoryAdapter: Trait for memory adapters
- [Memory Backend • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryBackend.md): MemoryBackend: Memory backend types
- [Memory Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryConfig.md): MemoryConfig: Memory configuration
- [Memory Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryMessage.md): MemoryMessage: A message stored in memory.
- [Memory Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryPreset.md): MemoryPreset: Memory preset configuration
- [Memory Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MemoryProtocol.md): MemoryProtocol: Protocol for memory implementations.
- [Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Message.md): Message: A message in a conversation
- [Message Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MessageType.md): MessageType: Types of bot messages.
- [Minimal Telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MinimalTelemetry.md): MinimalTelemetry: Minimal telemetry implementation Provides basic telemetry functionality with minimal overhead. When performance mode is enabled, telemetry operations...
- [Mock LLM Provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MockLlmProvider.md): MockLlmProvider: Mock LLM provider for testing (no API calls)
- [Multi Agent Context Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentContextManager.md): MultiAgentContextManager: Context manager for multi-agent scenarios.
- [Multi Agent Execution Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentExecutionConfig.md): MultiAgentExecutionConfig: Configuration for multi-agent execution
- [Multi Agent Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentExecutionPreset.md): MultiAgentExecutionPreset: Multi-agent execution preset configuration
- [Multi Agent Hooks Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentHooksConfig.md): MultiAgentHooksConfig: Configuration for multi-agent hooks
- [Multi Agent Memory Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentMemoryConfig.md): MultiAgentMemoryConfig: Configuration for multi-agent memory
- [Multi Agent Output Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentOutputConfig.md): MultiAgentOutputConfig: Configuration for multi-agent output
- [Multi Agent Output Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentOutputPreset.md): MultiAgentOutputPreset: Multi-agent output preset configuration
- [Multi Agent Planning Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/MultiAgentPlanningConfig.md): MultiAgentPlanningConfig: Configuration for multi-agent planning
- [O C R Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OCRAgent.md): OCRAgent: A specialized agent for OCR (Optical Character Recognition).
- [O C R Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OCRAgentBuilder.md): OCRAgentBuilder: Builder for OCRAgent
- [O C R Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OCRConfig.md): OCRConfig: Configuration for OCR settings.
- [O C R Page • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OCRPage.md): OCRPage: A page of OCR results
- [O C R Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OCRResult.md): OCRResult: Result of OCR extraction
- [Obs Collector • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ObsCollector.md): ObsCollector: Observability collector trait
- [On Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OnError.md): OnError: Error handling behavior
- [Open AI Provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OpenAiProvider.md): OpenAiProvider: OpenAI-compatible LLM provider
- [Optimizer Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OptimizerStrategy.md): OptimizerStrategy: Strategy for optimizing context when it exceeds limits.
- [Output Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OutputConfig.md): OutputConfig: Output configuration
- [Output Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/OutputPreset.md): OutputPreset: Output preset configuration
- [Parallel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Parallel.md): Parallel: Parallel pattern - concurrent execution
- [Parse Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ParseError.md): ParseError: Error during skill parsing.
- [Pattern Guardrail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PatternGuardrail.md): PatternGuardrail: Regex pattern guardrail.
- [Performance Evaluator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceEvaluator.md): PerformanceEvaluator: Evaluator for performance metrics.
- [Performance Evaluator Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceEvaluatorBuilder.md): PerformanceEvaluatorBuilder: Builder for PerformanceEvaluator.
- [Performance Metrics • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceMetrics.md): PerformanceMetrics: Performance metrics from an evaluation.
- [Performance Monitor • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceMonitor.md): PerformanceMonitor: Performance monitor for tracking function and API performance.
- [Performance Report • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceReport.md): PerformanceReport: Performance report.
- [Performance Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PerformanceResult.md): PerformanceResult: Result from a performance evaluation.
- [Plan • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Plan.md): Plan: A plan consisting of multiple steps.
- [Plan Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanStep.md): PlanStep: A single step in a plan.
- [Plan Storage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanStorage.md): PlanStorage: Storage for plans.
- [Planning Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningAgent.md): PlanningAgent: Planning agent for multi-step task planning
- [Planning Agent Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningAgentConfig.md): PlanningAgentConfig: Planning agent configuration
- [Planning Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningConfig.md): PlanningConfig: Configuration for planning mode
- [Planning Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningPreset.md): PlanningPreset: Planning preset configuration
- [Planning Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningStep.md): PlanningStep: Planning step
- [Planning Step Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PlanningStepStatus.md): PlanningStepStatus: Planning step status
- [Plugin • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Plugin.md): Plugin: Trait for implementing plugins.
- [Plugin Hook • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginHook.md): PluginHook: Hook points for plugin execution.
- [Plugin Info • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginInfo.md): PluginInfo: Information about a plugin.
- [Plugin Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginManager.md): PluginManager: Manages plugin registration and execution.
- [Plugin Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginMetadata.md): PluginMetadata: Plugin metadata extracted from plugin header
- [Plugin Parse Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginParseError.md): PluginParseError: Plugin parse error
- [Plugin Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginProtocol.md): PluginProtocol: Base plugin protocol trait
- [Plugin Registry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginRegistry.md): PluginRegistry: Plugin registry for managing loaded plugins
- [Plugin Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginType.md): PluginType: Type of plugin.
- [Plugins Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginsConfig.md): PluginsConfig: Plugins configuration
- [Plugins Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PluginsEnabled.md): PluginsEnabled: Plugins enabled state
- [Policy Action • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PolicyAction.md): PolicyAction: Action to take when a policy is triggered.
- [Policy Engine • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PolicyEngine.md): PolicyEngine: Engine for evaluating policies.
- [Policy Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PolicyResult.md): PolicyResult: Result of a policy check.
- [Policy Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PolicyRule.md): PolicyRule: A policy rule.
- [Praison Colors • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PraisonColors.md): PraisonColors: PraisonAI color palette
- [Praison Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PraisonConfig.md): PraisonConfig: Root configuration for PraisonAI
- [Process • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Process.md): Process: Process type for workflow execution
- [Prompt Expander Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PromptExpanderAgent.md): PromptExpanderAgent: Agent for expanding prompts
- [Prompt Expander Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PromptExpanderAgentBuilder.md): PromptExpanderAgentBuilder: Builder for PromptExpanderAgent
- [Prompt Expander Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/PromptExpanderConfig.md): PromptExpanderConfig: Configuration for PromptExpanderAgent
- [Provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Provider.md): Provider: Supported Deep Research providers
- [Provider Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ProviderStatus.md): ProviderStatus: Status of an LLM provider.
- [Query Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/QueryMode.md): QueryMode: Query mode enum.
- [Query Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/QueryResult.md): QueryResult: Query result.
- [Query Rewriter Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/QueryRewriterAgent.md): QueryRewriterAgent: Agent for rewriting queries
- [Query Rewriter Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/QueryRewriterAgentBuilder.md): QueryRewriterAgentBuilder: Builder for QueryRewriterAgent
- [Query Rewriter Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/QueryRewriterConfig.md): QueryRewriterConfig: Configuration for QueryRewriterAgent
- [RAG • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RAG.md): RAG: Main RAG pipeline.
- [RAG Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RAGBuilder.md): RAGBuilder: Builder for RAG
- [RAG Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RAGConfig.md): RAGConfig: Configuration for RAG pipeline.
- [RAG Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RAGResult.md): RAGResult: Result of a RAG query.
- [Realtime Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RealtimeAgent.md): RealtimeAgent: Agent for real-time voice conversations.
- [Realtime Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RealtimeAgentBuilder.md): RealtimeAgentBuilder: Builder for RealtimeAgent.
- [Realtime Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RealtimeConfig.md): RealtimeConfig: Configuration for realtime voice settings.
- [Reasoning Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReasoningStep.md): ReasoningStep: Represents a reasoning step in the research process
- [Reflection Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReflectionConfig.md): ReflectionConfig: Configuration for self-reflection
- [Reflection Output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReflectionOutput.md): ReflectionOutput: Output from a reflection step
- [Reflection Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReflectionPreset.md): ReflectionPreset: Reflection preset configuration
- [Reliability Evaluator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReliabilityEvaluator.md): ReliabilityEvaluator: Evaluator for reliability (tool call verification).
- [Reliability Evaluator Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReliabilityEvaluatorBuilder.md): ReliabilityEvaluatorBuilder: Builder for ReliabilityEvaluator.
- [Reliability Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ReliabilityResult.md): ReliabilityResult: Result from a reliability evaluation.
- [Repeat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Repeat.md): Repeat: Repeat pattern - repeat execution
- [Rerank Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RerankResult.md): RerankResult: Rerank result.
- [Reranker Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RerankerProtocol.md): RerankerProtocol: Protocol for reranker implementations.
- [Research Citation • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResearchCitation.md): ResearchCitation: Citation in a research result.
- [Resolve Options • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResolveOptions.md): ResolveOptions: Options for parameter resolution
- [Resolved Value • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResolvedValue.md): ResolvedValue: Result of parameter resolution
- [Resource Limits • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResourceLimits.md): ResourceLimits: Resource limits for sandbox execution.
- [Resource Usage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResourceUsage.md): ResourceUsage: Current resource usage.
- [Result Ext • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ResultExt.md): ResultExt: Extension trait for adding context to Results
- [Retrieval Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RetrievalConfig.md): RetrievalConfig: Unified retrieval configuration (Agent-first).
- [Retrieval Policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RetrievalPolicy.md): RetrievalPolicy: Retrieval policy for RAG
- [Retrieval Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RetrievalResult.md): RetrievalResult: Result of a retrieval operation.
- [Retrieval Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RetrievalStrategy.md): RetrievalStrategy: Retrieval strategy for RAG.
- [Retriever Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RetrieverProtocol.md): RetrieverProtocol: Protocol for retriever implementations.
- [Rewrite Prompts • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RewritePrompts.md): RewritePrompts: Query rewriting prompts for each strategy
- [Rewrite Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RewriteResult.md): RewriteResult: Result of query rewriting
- [Rewrite Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RewriteStrategy.md): RewriteStrategy: Rewriting strategy for queries
- [Risk Level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RiskLevel.md): RiskLevel: Risk level for approval
- [Role • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Role.md): Role: Message role in a conversation
- [Route • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Route.md): Route: Route pattern - conditional branching
- [Routing Condition Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RoutingConditionProtocol.md): RoutingConditionProtocol: Extended protocol for conditions that support routing to targets. This extends ConditionProtocol with the ability to return target tasks/steps based...
- [Runnable Agent Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/RunnableAgentProtocol.md): RunnableAgentProtocol: Extended Protocol for agents that support run/start methods.
- [Sandbox Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SandboxConfig.md): SandboxConfig: Configuration for a sandbox.
- [Sandbox Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SandboxProtocol.md): SandboxProtocol: Protocol for sandbox implementations. Sandboxes provide isolated environments for safe code execution. Implementations can use Docker, subprocess...
- [Sandbox Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SandboxResult.md): SandboxResult: Result of a sandbox execution.
- [Sandbox Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SandboxStatus.md): SandboxStatus: Status of a sandbox execution.
- [Sandbox Status Info • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SandboxStatusInfo.md): SandboxStatusInfo: Sandbox status information.
- [Scope Required Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ScopeRequiredError.md): ScopeRequiredError: Scope required error.
- [Search Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SearchResult.md): SearchResult: Container for search results.
- [Search Result Item • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SearchResultItem.md): SearchResultItem: A single search result item.
- [Security Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SecurityConfig.md): SecurityConfig: Security configuration for MCP.
- [Security Policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SecurityPolicy.md): SecurityPolicy: Security policy for sandbox execution
- [Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Session.md): Session: Session manager - main API for session persistence
- [Session Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SessionConfig.md): SessionConfig: Session configuration
- [Session Data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SessionData.md): SessionData: Complete session data structure
- [Session Info • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SessionInfo.md): SessionInfo: Brief session info for listing
- [Session Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SessionMessage.md): SessionMessage: A single message in a session
- [Session Store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SessionStore.md): SessionStore: Session store trait for different storage backends
- [Similarity Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SimilarityResult.md): SimilarityResult: Similarity search result.
- [Simple Reranker • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SimpleReranker.md): SimpleReranker: Simple reranker that uses score-based sorting.
- [Skill Loader • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SkillLoader.md): SkillLoader: Loader for progressive skill loading.
- [Skill Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SkillManager.md): SkillManager: Manager for discovering and using skills.
- [Skill Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SkillMetadata.md): SkillMetadata: Metadata about a skill for lightweight loading.
- [Skill Properties • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SkillProperties.md): SkillProperties: Properties of a skill parsed from SKILL.md frontmatter.
- [Skills Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SkillsConfig.md): SkillsConfig: Configuration for agent skills
- [Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Span.md): Span: A span representing a unit of work.
- [Span Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SpanEvent.md): SpanEvent: An event within a span.
- [Span Kind • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SpanKind.md): SpanKind: Kind of span.
- [Span Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/SpanStatus.md): SpanStatus: Status of a span.
- [Step Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StepResult.md): StepResult: Step result from workflow execution
- [Step Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StepStatus.md): StepStatus: Status of a plan step.
- [Stream Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamCallback.md): StreamCallback: Trait for synchronous stream event callbacks.
- [Stream Collector • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamCollector.md): StreamCollector: Collects stream events and accumulated content.
- [Stream Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamEvent.md): StreamEvent: A single streaming event emitted during LLM response streaming.
- [Stream Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamEventType.md): StreamEventType: Types of streaming events emitted during LLM response streaming.
- [Stream Handler • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamHandler.md): StreamHandler: Handler for managing stream callbacks.
- [Stream Metrics • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StreamMetrics.md): StreamMetrics: Timing metrics for a streaming response.
- [String Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/StringMode.md): StringMode: String handling modes
- [Task • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Task.md): Task: A unit of work that can be executed by an Agent
- [Task Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TaskBuilder.md): TaskBuilder: Builder for Task
- [Task Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TaskConfig.md): TaskConfig: Task configuration
- [Task Output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TaskOutput.md): TaskOutput: Task output containing the result of task execution
- [Task Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TaskStatus.md): TaskStatus: Task status
- [Task Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TaskType.md): TaskType: Task type
- [Telemetry Collector • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TelemetryCollector.md): TelemetryCollector: Telemetry collector.
- [Telemetry Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TelemetryContext.md): TelemetryContext: Telemetry context for scoped tracking
- [Telemetry Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TelemetryEvent.md): TelemetryEvent: A telemetry event.
- [Telemetry Event Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TelemetryEventType.md): TelemetryEventType: Event types for telemetry.
- [Template Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TemplateConfig.md): TemplateConfig: Configuration for prompt templates
- [Thinking Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ThinkingBudget.md): ThinkingBudget: Budget constraints for extended thinking. Controls how much thinking/reasoning the LLM can do before producing a response.
- [Thinking Budget Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ThinkingBudgetBuilder.md): ThinkingBudgetBuilder: Builder for ThinkingBudget.
- [Thinking Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ThinkingConfig.md): ThinkingConfig: Configuration for thinking behavior.
- [Thinking Tracker • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ThinkingTracker.md): ThinkingTracker: Tracks thinking usage across multiple sessions. Provides aggregate statistics and reporting.
- [Thinking Usage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ThinkingUsage.md): ThinkingUsage: Usage statistics for a single thinking session.
- [Todo Item • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TodoItem.md): TodoItem: A todo item.
- [Todo List • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TodoList.md): TodoList: A todo list.
- [Todo Priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TodoPriority.md): TodoPriority: Priority of a todo item.
- [Token Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TokenBudget.md): TokenBudget: Token budget for context management.
- [Token Usage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TokenUsage.md): TokenUsage: Token usage statistics.
- [Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Tool.md): Tool: Trait for tools that can be used by agents This trait defines the interface for tools. Tools can be created using the `#[tool]` macro or by...
- [Tool Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolCall.md): ToolCall: A tool call from the LLM.
- [Tool Call Data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolCallData.md): ToolCallData: Tool call data for streaming events.
- [Tool Call Function • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolCallFunction.md): ToolCallFunction: Function details within a tool call
- [Tool Call Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolCallResult.md): ToolCallResult: Result of a tool call during evaluation.
- [Tool Definition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolDefinition.md): ToolDefinition: Tool definition for LLM function calling
- [Tool Plugin Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolPluginProtocol.md): ToolPluginProtocol: Tool-providing plugin protocol
- [Tool Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolProtocol.md): ToolProtocol: Protocol for tool implementations.
- [Tool Registry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolRegistry.md): ToolRegistry: Registry for managing tools
- [Tool Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolResult.md): ToolResult: Result of a tool execution
- [Tool Schema • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ToolSchema.md): ToolSchema: Tool schema for LLM.
- [Trace Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TraceContext.md): TraceContext: Context for a trace.
- [Trace Context Data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TraceContextData.md): TraceContextData: Trace context for tracking operations
- [Trace Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TraceEvent.md): TraceEvent: Trace event
- [Trace Exporter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TraceExporter.md): TraceExporter: Trait for trace exporters.
- [Trace Sink Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TraceSinkProtocol.md): TraceSinkProtocol: Trace sink protocol trait
- [Tracer • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Tracer.md): Tracer: Global tracer for convenience.
- [Transport Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TransportConfig.md): TransportConfig: Transport configuration for MCP.
- [Transport Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/TransportType.md): TransportType: Transport type for MCP connections.
- [Usage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/Usage.md): Usage: Token usage statistics
- [Validation Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/ValidationError.md): ValidationError: Error during skill validation.
- [Vector Record • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VectorRecord.md): VectorRecord: A vector record in the store.
- [Vector Store Protocol • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VectorStoreProtocol.md): VectorStoreProtocol: Protocol for vector store implementations.
- [Video Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VideoAgent.md): VideoAgent: A specialized agent for generating videos using AI models.
- [Video Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VideoAgentBuilder.md): VideoAgentBuilder: Builder for VideoAgent
- [Video Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VideoConfig.md): VideoConfig: Configuration for video generation settings.
- [Video Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VideoResult.md): VideoResult: Result of video generation
- [Video Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VideoStatus.md): VideoStatus: Status of video generation
- [Vision Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VisionAgent.md): VisionAgent: A specialized agent for image analysis and understanding.
- [Vision Agent Builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VisionAgentBuilder.md): VisionAgentBuilder: Builder for VisionAgent
- [Vision Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/VisionConfig.md): VisionConfig: Configuration for vision processing settings.
- [Web Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WebConfig.md): WebConfig: Configuration for web search and fetch capabilities
- [Web Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WebPreset.md): WebPreset: Web preset configuration
- [Web Search Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WebSearchCall.md): WebSearchCall: Represents a web search call made during research
- [Web Search Provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WebSearchProvider.md): WebSearchProvider: Web search providers
- [Workflow Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WorkflowContext.md): WorkflowContext: Workflow context passed between agents
- [Workflow Step Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/classes/WorkflowStepExecutionPreset.md): WorkflowStepExecutionPreset: Workflow step execution preset configuration
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-description.md): description: Set description
- [Get Agent Card • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-get_agent_card.md): get_agent_card: Get the Agent Card for this A2A instance
- [Get Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-get_status.md): get_status: Get status
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-new.md): new: Create a new A2A interface
- [prefix • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-prefix.md): prefix: Set URL prefix
- [version • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2A-version.md): version: Set version
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2AAgentCard-new.md): new: Create a new A2A Agent Card
- [skill • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2AAgentCard-skill.md): skill: Add a skill
- [version • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2AAgentCard-version.md): version: Set version
- [With Streaming • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/A2AAgentCard-with_streaming.md): with_streaming: Enable streaming
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUI-description.md): description: Set description
- [Get Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUI-get_status.md): get_status: Get status
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUI-new.md): new: Create a new AGUI interface
- [prefix • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUI-prefix.md): prefix: Set URL prefix
- [Run Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUIEvent-run_error.md): run_error: Create a run error event
- [Run Finished • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUIEvent-run_finished.md): run_finished: Create a run finished event
- [Run Started • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUIEvent-run_started.md): run_started: Create a run started event
- [Text Delta • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AGUIEvent-text_delta.md): text_delta: Create a text delta event
- [Evaluate Simple • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluator-evaluate_simple.md): evaluate_simple: Evaluate accuracy using simple string comparison.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluator-new.md): new: Create a new builder.
- [actual • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluatorBuilder-actual.md): actual: Set actual output.
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluatorBuilder-build.md): build: Build the evaluator.
- [expected • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluatorBuilder-expected.md): expected: Set expected output.
- [input • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluatorBuilder-input.md): input: Set input text.
- [threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AccuracyEvaluatorBuilder-threshold.md): threshold: Set threshold.
- [failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AddResult-failure.md): failure: Create a failed add result
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AddResult-success.md): success: Create a successful add result
- [Add Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-add_tool.md): add_tool: Add a tool to the agent
- [chat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-chat.md): chat: Chat with the agent (main entry point) This is the primary method for interacting with an agent. It handles the full conversation loop including tool...
- [Clear Memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-clear_memory.md): clear_memory: Clear conversation memory
- [history • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-history.md): history: Get conversation history
- [ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-id.md): id: Get the agent ID
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-instructions.md): instructions: Get the instructions
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-model.md): model: Get the LLM model name
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-name.md): name: Get the agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-new.md): new: Create a new agent builder
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-run.md): run: Run a task (alias for chat)
- [simple • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-simple.md): simple: Create an agent with minimal config
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-start.md): start: Start a conversation (alias for chat)
- [Tool Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Agent-tool_count.md): tool_count: Get the number of tools
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentAppConfig-new.md): new: Create a new app config
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentAppProtocol-name.md): name: Get the app name
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentAppProtocol-start.md): start: Start the application
- [stop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentAppProtocol-stop.md): stop: Stop the application
- [version • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentAppProtocol-version.md): version: Get the app version
- [API Key • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-api_key.md): api_key: Set the API key
- [Base URL • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-base_url.md): base_url: Set the base URL for the LLM API
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-build.md): build: Build the agent
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-instructions.md): instructions: Set the system instructions
- [LLM • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-llm.md): llm: Alias for model() - matches Python SDK
- [Max Iterations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-max_iterations.md): max_iterations: Set max iterations for tool calling
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-max_tokens.md): max_tokens: Set max tokens
- [memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-memory.md): memory: Enable memory
- [Memory Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-memory_config.md): memory_config: Set memory configuration
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-model.md): model: Set the LLM model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-name.md): name: Set the agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-new.md): new: Create a new agent builder
- [stream • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-stream.md): stream: Enable/disable streaming
- [temperature • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-temperature.md): temperature: Set the temperature
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-tool.md): tool: Add a tool
- [tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-tools.md): tools: Add multiple tools
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentBuilder-verbose.md): verbose: Enable verbose output
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentFlow-agent.md): agent: Add an agent step
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentFlow-new.md): new: Create a new workflow
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentFlow-run.md): run: Execute the workflow
- [step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentFlow-step.md): step: Add a step
- [custom • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentMetrics-custom.md): custom: Add a custom metric
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentMetrics-new.md): new: Create new metrics
- [Agent ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSConfig-agent_id.md): agent_id: Set agent ID
- [API Key • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSConfig-api_key.md): api_key: Set API key
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSConfig-new.md): new: Create a new config
- [No Telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSConfig-no_telemetry.md): no_telemetry: Disable telemetry
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSProtocol-config.md): config: Get configuration
- [Get Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSProtocol-get_config.md): get_config: Get remote configuration
- [heartbeat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSProtocol-heartbeat.md): heartbeat: Send heartbeat
- [register • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSProtocol-register.md): register: Register agent with Agent OS
- [Report Metrics • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentOSProtocol-report_metrics.md): report_metrics: Report metrics
- [On Agent Created • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentPluginProtocol-on_agent_created.md): on_agent_created: Called when agent is created
- [achat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentProtocol-achat.md): achat: Asynchronous chat with the agent
- [chat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentProtocol-chat.md): chat: Synchronous chat with the agent
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentProtocol-name.md): name: Get the agent's name
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-is_empty.md): is_empty: Check if empty
- [Is Verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-is_verbose.md): is_verbose: Check if verbose mode is enabled
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-len.md): len: Get the number of agents
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-new.md): new: Create a new agent team builder
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-run.md): run: Alias for start
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeam-start.md): start: Run the team with a task
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-agent.md): agent: Add an agent
- [Agent Arc • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-agent_arc.md): agent_arc: Add an agent (Arc version)
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-build.md): build: Build the team
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-new.md): new: Create a new builder
- [process • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-process.md): process: Set the process type
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AgentTeamBuilder-verbose.md): verbose: Enable verbose output
- [Average Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApiStats-average_duration.md): average_duration: Get average duration.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApiStats-new.md): new: Create new API stats.
- [Record Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApiStats-record_error.md): record_error: Record a failed call.
- [Record Success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApiStats-record_success.md): record_success: Record a successful call.
- [Success Rate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApiStats-success_rate.md): success_rate: Get success rate.
- [Request Approval • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ApprovalCallback-request_approval.md): request_approval: Request approval for an action
- [On Display • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AsyncDisplayCallback-on_display.md): on_display: Handle display event asynchronously
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AsyncGuardrail-name.md): name: Get guardrail name
- [validate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AsyncGuardrail-validate.md): validate: Validate the output asynchronously
- [On Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AsyncStreamCallback-on_event.md): on_event: Called when a stream event is emitted (async)
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgent-model.md): model: Get model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgent-new.md): new: Create a new AudioAgent builder
- [speech • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgent-speech.md): speech: Generate speech from text (placeholder - requires LLM integration)
- [transcribe • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgent-transcribe.md): transcribe: Transcribe audio to text (placeholder - requires LLM integration)
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-build.md): build: Build the AudioAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-config.md): config: Set the config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-name.md): name: Set the agent name
- [speed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-speed.md): speed: Set the speed
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-verbose.md): verbose: Set verbose mode
- [voice • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioAgentBuilder-voice.md): voice: Set the voice
- [language • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-language.md): language: Set the language
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-new.md): new: Create a new AudioConfig with default values
- [Response Format • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-response_format.md): response_format: Set the response format
- [speed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-speed.md): speed: Set the speed
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-timeout.md): timeout: Set the timeout
- [voice • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AudioConfig-voice.md): voice: Set the voice
- [Base URL • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-base_url.md): base_url: Set base URL
- [Is Available • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-is_available.md): is_available: Check if this profile is currently available.
- [Mark Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-mark_error.md): mark_error: Mark this profile as having an error.
- [Mark Rate Limited • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-mark_rate_limited.md): mark_rate_limited: Mark this profile as rate limited.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-metadata.md): metadata: Add metadata
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-model.md): model: Set default model
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-new.md): new: Create a new auth profile.
- [priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-priority.md): priority: Set priority (lower = higher priority)
- [Rate Limit Rpm • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-rate_limit_rpm.md): rate_limit_rpm: Set rate limit (requests per minute)
- [Rate Limit Tpm • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-rate_limit_tpm.md): rate_limit_tpm: Set rate limit (tokens per minute)
- [reset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AuthProfile-reset.md): reset: Reset this profile to available status.
- [agents • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoAgents-agents.md): agents: Get generated agents
- [generate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoAgents-generate.md): generate: Generate agents for a task
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoAgents-new.md): new: Create new auto agents
- [Add Source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-add_source.md): add_source: Add a document source
- [Add Sources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-add_sources.md): add_sources: Add multiple sources
- [index • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-index.md): index: Index documents
- [Is Indexed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-is_indexed.md): is_indexed: Check if indexed
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-new.md): new: Create a new AutoRAG agent
- [query • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-query.md): query: Query the RAG system
- [sources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutoRagAgent-sources.md): sources: Get sources
- [Allow Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-allow_tool.md): allow_tool: Add allowed tool
- [Block Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-block_tool.md): block_tool: Add blocked tool
- [Full Auto • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-full_auto.md): full_auto: Set to full auto mode
- [level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-level.md): level: Set autonomy level
- [Max Actions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-max_actions.md): max_actions: Set max actions
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-new.md): new: Create a new autonomy config
- [No Approval • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/AutonomyConfig-no_approval.md): no_approval: Disable approval requirement
- [Add Keyword • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BlocklistGuardrail-add_keyword.md): add_keyword: Add a keyword
- [Case Sensitive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BlocklistGuardrail-case_sensitive.md): case_sensitive: Set case sensitivity
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BlocklistGuardrail-new.md): new: Create a new blocklist guardrail
- [Channel Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotChannel-channel_type.md): channel_type: Set channel type.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotChannel-metadata.md): metadata: Add metadata.
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotChannel-name.md): name: Set channel name.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotChannel-new.md): new: Create a new bot channel.
- [Command Prefix • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotConfig-command_prefix.md): command_prefix: Set command prefix.
- [extra • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotConfig-extra.md): extra: Add extra configuration.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotConfig-new.md): new: Create a new bot config.
- [Polling Interval • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotConfig-polling_interval.md): polling_interval: Set polling interval.
- [webhooks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotConfig-webhooks.md): webhooks: Enable webhooks.
- [attachment • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-attachment.md): attachment: Add attachment.
- [channel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-channel.md): channel: Set channel.
- [command • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-command.md): command: Extract command name if this is a command message.
- [Command Args • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-command_args.md): command_args: Extract command arguments if this is a command message.
- [Is Command • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-is_command.md): is_command: Check if message is a command.
- [Message Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-message_type.md): message_type: Set message type.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-metadata.md): metadata: Add metadata.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-new.md): new: Create a new bot message
- [Reply To • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-reply_to.md): reply_to: Set reply_to.
- [sender • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-sender.md): sender: Set sender.
- [text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-text.md): text: Create a text message.
- [Text Content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-text_content.md): text_content: Get text content if available.
- [Thread ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotMessage-thread_id.md): thread_id: Set thread_id.
- [Bot User • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-bot_user.md): bot_user: The bot's user information.
- [Delete Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-delete_message.md): delete_message: Delete a message.
- [Edit Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-edit_message.md): edit_message: Edit an existing message.
- [Get Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-get_agent.md): get_agent: Get the current agent.
- [Get Channel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-get_channel.md): get_channel: Get channel information.
- [Get User • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-get_user.md): get_user: Get user information.
- [Is Running • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-is_running.md): is_running: Whether the bot is currently running.
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-name.md): name: Get bot name
- [On Command • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-on_command.md): on_command: Handle command
- [On Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-on_message.md): on_message: Handle incoming message
- [platform • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-platform.md): platform: Platform name (telegram, discord, slack, etc.).
- [Send Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-send_message.md): send_message: Send a message to a channel.
- [Send Typing • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-send_typing.md): send_typing: Send typing indicator to a channel.
- [Set Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-set_agent.md): set_agent: Set the agent that handles messages.
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-start.md): start: Start the bot
- [stop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotProtocol-stop.md): stop: Stop the bot
- [action • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotResponse-action.md): action: Add an action
- [attachment • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotResponse-attachment.md): attachment: Add an attachment
- [Reply To • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotResponse-reply_to.md): reply_to: Set reply to
- [text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotResponse-text.md): text: Create a simple text response
- [Display Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotUser-display_name.md): display_name: Set display name.
- [Is Bot • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotUser-is_bot.md): is_bot: Set is_bot flag.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotUser-metadata.md): metadata: Add metadata.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotUser-new.md): new: Create a new bot user.
- [username • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BotUser-username.md): username: Set username.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BudgetAllocation-new.md): new: Create a new budget allocation
- [With Ratios • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BudgetAllocation-with_ratios.md): with_ratios: Create with custom ratios
- [tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/BudgetLevel-tokens.md): tokens: Get the token allocation for this level.
- [disabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CachingConfig-disabled.md): disabled: Disable caching
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CachingConfig-new.md): new: Create a new caching config
- [ttl • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CachingConfig-ttl.md): ttl: Set TTL
- [With Prompt Caching • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CachingConfig-with_prompt_caching.md): with_prompt_caching: Enable prompt caching
- [chunk • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Chunking-chunk.md): chunk: Chunk text into smaller pieces
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Chunking-new.md): new: Create a new chunking utility
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Citation-metadata.md): metadata: Add metadata
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Citation-new.md): new: Create a new citation
- [page • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Citation-page.md): page: Set the page number
- [score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Citation-score.md): score: Set the relevance score
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgent-execute.md): execute: Execute code (placeholder - would require sandbox)
- [generate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgent-generate.md): generate: Generate code from a description (placeholder)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgent-new.md): new: Create a new CodeAgent builder
- [review • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgent-review.md): review: Review code (placeholder)
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgentBuilder-build.md): build: Build the CodeAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgentBuilder-config.md): config: Set the config
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgentBuilder-instructions.md): instructions: Set instructions
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeAgentBuilder-name.md): name: Set the agent name
- [Allowed Languages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeConfig-allowed_languages.md): allowed_languages: Set allowed languages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeConfig-new.md): new: Create a new CodeConfig
- [sandbox • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeConfig-sandbox.md): sandbox: Set sandbox mode
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeConfig-timeout.md): timeout: Set timeout
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeExecutionStep-new.md): new: Create a new code execution step
- [With Output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CodeExecutionStep-with_output.md): with_output: Create with output
- [evaluate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConditionProtocol-evaluate.md): evaluate: Evaluate the condition against the given context. # Arguments * `context` - Dictionary containing variables for evaluation. May include workflow...
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-add.md): add: Add an entry to context
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-clear.md): clear: Clear context
- [Get Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-get_context.md): get_context: Get context as messages
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-is_empty.md): is_empty: Check if context is empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-len.md): len: Get context length
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextAgent-new.md): new: Create a new context agent
- [allocate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextBudgeter-allocate.md): allocate: Allocate budget
- [Allocate Custom • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextBudgeter-allocate_custom.md): allocate_custom: Allocate with custom ratios
- [available • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextBudgeter-available.md): available: Get available tokens (total - output reserve)
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextBudgeter-new.md): new: Create a new budgeter for a model
- [With Limits • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextBudgeter-with_limits.md): with_limits: Create with custom limits
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextChunk-new.md): new: Create a new context chunk
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-max_tokens.md): max_tokens: Set max tokens
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-model.md): model: Set model
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-new.md): new: Create a new context config
- [Output Reserve Pct • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-output_reserve_pct.md): output_reserve_pct: Set output reserve percentage
- [strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-strategy.md): strategy: Set optimization strategy
- [With Monitoring • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextConfig-with_monitoring.md): with_monitoring: Enable monitoring
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-agent.md): agent: Set agent info.
- [Duration Ms • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-duration_ms.md): duration_ms: Set duration.
- [error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-error.md): error: Set error.
- [input • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-input.md): input: Set input.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-metadata.md): metadata: Add metadata.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-new.md): new: Create a new context event.
- [output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-output.md): output: Set output.
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextEvent-tool.md): tool: Set tool name.
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextLedger-add.md): add: Add a segment to the ledger
- [Is Over Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextLedger-is_over_budget.md): is_over_budget: Check if over budget
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextLedger-new.md): new: Create a new ledger with max tokens
- [remaining • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextLedger-remaining.md): remaining: Get remaining tokens
- [utilization • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextLedger-utilization.md): utilization: Get utilization percentage
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextListSink-new.md): new: Create a new list sink.
- [Add Segment • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-add_segment.md): add_segment: Add a segment to the ledger
- [Allocate Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-allocate_budget.md): allocate_budget: Get budget allocation
- [Default For Model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-default_for_model.md): default_for_model: Create with default config
- [Is Over Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-is_over_budget.md): is_over_budget: Check if over budget
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-new.md): new: Create a new context manager
- [remaining • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-remaining.md): remaining: Get remaining tokens
- [reset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-reset.md): reset: Reset the ledger
- [Track Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-track_messages.md): track_messages: Estimate and track messages
- [Track System • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-track_system.md): track_system: Estimate and track system prompt
- [Track Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-track_tools.md): track_tools: Estimate and track tools
- [utilization • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextManager-utilization.md): utilization: Get utilization
- [content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextSegment-content.md): content: Set content
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextSegment-new.md): new: Create a new context segment
- [priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextSegment-priority.md): priority: Set priority
- [Agent End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-agent_end.md): agent_end: Emit agent end event.
- [Agent Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-agent_start.md): agent_start: Emit agent start event.
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-clear.md): clear: Clear events.
- [emit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-emit.md): emit: Emit an event.
- [events • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-events.md): events: Get events.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-new.md): new: Create with a specific sink.
- [noop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-noop.md): noop: Create with no-op sink (zero overhead).
- [Tool End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-tool_end.md): tool_end: Emit tool end event.
- [Tool Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-tool_start.md): tool_start: Emit tool start event.
- [With List Sink • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceEmitter-with_list_sink.md): with_list_sink: Create with list sink.
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSink-clear.md): clear: Clear events
- [events • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSink-events.md): events: Get all events
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSink-new.md): new: Create a new context trace sink
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSinkProtocol-clear.md): clear: Clear all events.
- [events • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSinkProtocol-events.md): events: Get all recorded events.
- [record • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ContextTraceSinkProtocol-record.md): record: Record a context event.
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-add.md): add: Add a message to the history
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-clear.md): clear: Clear the history
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-len.md): len: Get the number of messages
- [messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-messages.md): messages: Get all messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ConversationHistory-new.md): new: Create a new conversation history
- [evaluate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaEvaluator-evaluate.md): evaluate: Evaluate with provided scores.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaEvaluator-new.md): new: Create a new builder.
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaEvaluatorBuilder-build.md): build: Build the evaluator.
- [criterion • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaEvaluatorBuilder-criterion.md): criterion: Add a criterion.
- [threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaEvaluatorBuilder-threshold.md): threshold: Set threshold.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaScore-new.md): new: Create a new criteria score.
- [Weighted Score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaScore-weighted_score.md): weighted_score: Get weighted score.
- [With Feedback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaScore-with_feedback.md): with_feedback: Set feedback.
- [With Weight • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/CriteriaScore-with_weight.md): with_weight: Set weight.
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DbAdapter-delete.md): delete: Delete a value
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DbAdapter-get.md): get: Retrieve a value
- [store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DbAdapter-store.md): store: Store a value
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgent-new.md): new: Create a new builder
- [research • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgent-research.md): research: Perform deep research
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgentBuilder-build.md): build: Build the agent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgentBuilder-config.md): config: Set config
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgentBuilder-instructions.md): instructions: Set instructions
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchAgentBuilder-name.md): name: Set the agent name
- [Include Citations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchConfig-include_citations.md): include_citations: Set include citations
- [Max Depth • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchConfig-max_depth.md): max_depth: Set max depth
- [Max Sources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchConfig-max_sources.md): max_sources: Set max sources
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchConfig-new.md): new: Create a new config
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchConfig-timeout.md): timeout: Set timeout
- [Get All Sources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchResponse-get_all_sources.md): get_all_sources: Get a list of all unique sources cited
- [Get Citation Text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchResponse-get_citation_text.md): get_citation_text: Extract the text that a citation refers to
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DeepResearchResponse-new.md): new: Create a new deep research response
- [Default Targets • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DictCondition-default_targets.md): default_targets: Set default targets.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DictCondition-new.md): new: Create a new dict condition.
- [when • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DictCondition-when.md): when: Add a route for a value.
- [On Display • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayCallback-on_display.md): on_display: Handle display event
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-agent.md): agent: Set agent name
- [args • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-args.md): args: Set tool arguments
- [content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-content.md): content: Set content
- [data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-data.md): data: Add data
- [error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-error.md): error: Set error message
- [meta • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-meta.md): meta: Add metadata
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-new.md): new: Create a new display event
- [result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-result.md): result: Set tool result
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/DisplayEvent-tool.md): tool: Set tool name
- [filename • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Document-filename.md): filename: Set filename
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Document-metadata.md): metadata: Set metadata
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Document-new.md): new: Create a new document
- [source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Document-source.md): source: Set source
- [embed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-embed.md): embed: Generate embedding for a single text. # Arguments * `text` - Text to embed # Returns Vector of floats representing the embedding
- [Embed Batch • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-embed_batch.md): embed_batch: Generate embeddings for multiple texts. # Arguments * `texts` - Slice of texts to embed # Returns EmbeddingResult containing all embeddings
- [Find Most Similar • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-find_most_similar.md): find_most_similar: Find the most similar texts to a query. # Arguments * `query` - Query text * `candidates` - List of candidate texts to compare * `top_k` - Number of...
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-new.md): new: Create a new builder
- [similarity • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-similarity.md): similarity: Calculate cosine similarity between two texts. # Arguments * `text1` - First text * `text2` - Second text # Returns Cosine similarity score (0.0 to...
- [simple • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgent-simple.md): simple: Create a simple embedding agent with default settings
- [API Base • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-api_base.md): api_base: Set API base URL
- [API Key • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-api_key.md): api_key: Set API key
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-build.md): build: Build the EmbeddingAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-config.md): config: Set embedding config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-model.md): model: Set model name
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-name.md): name: Set agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-new.md): new: Create a new builder
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingAgentBuilder-verbose.md): verbose: Set verbose mode
- [API Base • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-api_base.md): api_base: Set API base URL
- [API Key • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-api_key.md): api_key: Set API key
- [dimensions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-dimensions.md): dimensions: Set dimensions
- [Encoding Format • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-encoding_format.md): encoding_format: Set encoding format
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-new.md): new: Create a new EmbeddingConfig with defaults
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingConfig-timeout.md): timeout: Set timeout
- [dimension • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingResult-dimension.md): dimension: Get embedding dimension
- [first • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingResult-first.md): first: Get the first embedding vector
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingResult-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EmbeddingResult-len.md): len: Get the number of embeddings
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-agent.md): agent: Create an agent error
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-config.md): config: Create a config error
- [handoff • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-handoff.md): handoff: Create a handoff error
- [IO • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-io.md): io: Create an IO error from a string message
- [LLM • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-llm.md): llm: Create an LLM error
- [memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-memory.md): memory: Create a memory error
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-tool.md): tool: Create a tool error
- [With Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-with_context.md): with_context: Add context to an error
- [workflow • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Error-workflow.md): workflow: Create a workflow error
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ErrorLog-new.md): new: Create a new error log
- [With Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ErrorLog-with_context.md): with_context: Add context
- [As Percentage • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EvaluationScore-as_percentage.md): as_percentage: Convert to percentage.
- [Is Passing • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EvaluationScore-is_passing.md): is_passing: Check if passing (= threshold).
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EvaluationScore-new.md): new: Create a new score.
- [With Confidence • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EvaluationScore-with_confidence.md): with_confidence: Set confidence.
- [With Reasoning • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EvaluationScore-with_reasoning.md): with_reasoning: Set reasoning.
- [evaluate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Evaluator-evaluate.md): evaluate: Run the evaluation.
- [Agent End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-agent_end.md): agent_end: Create agent end event
- [Agent Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-agent_error.md): agent_error: Create agent error event
- [Agent Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-agent_start.md): agent_start: Create agent start event
- [Correlation ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-correlation_id.md): correlation_id: Set correlation ID
- [custom • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-custom.md): custom: Create custom event
- [data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-data.md): data: Set event data
- [Handoff End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-handoff_end.md): handoff_end: Create handoff end event
- [Handoff Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-handoff_start.md): handoff_start: Create handoff start event
- [LLM Request • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-llm_request.md): llm_request: Create LLM request event
- [LLM Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-llm_response.md): llm_response: Create LLM response event
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-new.md): new: Create a new event
- [Tool End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-tool_end.md): tool_end: Create tool end event
- [Tool Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-tool_error.md): tool_error: Create tool error event
- [Tool Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-tool_start.md): tool_start: Create tool start event
- [Workflow End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-workflow_end.md): workflow_end: Create workflow end event
- [Workflow Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Event-workflow_start.md): workflow_start: Create workflow start event
- [Clear History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-clear_history.md): clear_history: Clear history
- [Events By Source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-events_by_source.md): events_by_source: Get events by source
- [Events By Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-events_by_type.md): events_by_type: Get events by type
- [history • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-history.md): history: Get event history
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-new.md): new: Create a new event bus
- [publish • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-publish.md): publish: Publish an event
- [Subscription Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-subscription_count.md): subscription_count: Get subscription count for an event type
- [Total Subscriptions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-total_subscriptions.md): total_subscriptions: Get total subscription count
- [unsubscribe • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-unsubscribe.md): unsubscribe: Unsubscribe by ID
- [With History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/EventBus-with_history.md): with_history: Create with custom history size
- [Max Iterations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExecutionConfig-max_iterations.md): max_iterations: Set max iterations
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExecutionConfig-new.md): new: Create a new execution config
- [No Stream • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExecutionConfig-no_stream.md): no_stream: Disable streaming
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExecutionConfig-timeout.md): timeout: Set timeout
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandPrompts-get.md): get: Get prompt for strategy
- [Expansion Ratio • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandResult-expansion_ratio.md): expansion_ratio: Get expansion ratio (expanded length / original length)
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandResult-new.md): new: Create a new expand result
- [With Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandResult-with_metadata.md): with_metadata: Add metadata
- [all • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandStrategy-all.md): all: Get all available strategies
- [From Str • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpandStrategy-from_str.md): from_str: Parse from string
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ExpressionCondition-new.md): new: Create a new expression condition.
- [Cooldown On Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-cooldown_on_error.md): cooldown_on_error: Set cooldown on error
- [Cooldown On Rate Limit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-cooldown_on_rate_limit.md): cooldown_on_rate_limit: Set cooldown on rate limit
- [Exponential Backoff • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-exponential_backoff.md): exponential_backoff: Set exponential backoff
- [Max Retries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-max_retries.md): max_retries: Set max retries
- [Max Retry Delay • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-max_retry_delay.md): max_retry_delay: Set max retry delay
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-new.md): new: Create a new config with defaults
- [Retry Delay • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverConfig-retry_delay.md): retry_delay: Set retry delay
- [Add Profile • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-add_profile.md): add_profile: Add an auth profile.
- [Default Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-default_config.md): default_config: Create with default config.
- [Get Next Profile • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-get_next_profile.md): get_next_profile: Get the next available profile. Returns profiles in priority order, skipping those that are rate limited or in cooldown.
- [Get Profile • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-get_profile.md): get_profile: Get a profile by name.
- [Get Profile Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-get_profile_mut.md): get_profile_mut: Get a mutable profile by name.
- [Get Retry Delay • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-get_retry_delay.md): get_retry_delay: Calculate retry delay for an attempt.
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-is_empty.md): is_empty: Check if empty.
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-len.md): len: Get the number of profiles.
- [List Profiles • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-list_profiles.md): list_profiles: List all profiles.
- [Mark Failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-mark_failure.md): mark_failure: Mark a profile as failed.
- [Mark Success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-mark_success.md): mark_success: Mark a profile as successful.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-new.md): new: Create a new failover manager.
- [On Failover • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-on_failover.md): on_failover: Register a callback for failover events.
- [Remove Profile • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-remove_profile.md): remove_profile: Remove a profile by name.
- [Reset All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-reset_all.md): reset_all: Reset all profiles to available status.
- [status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FailoverManager-status.md): status: Get failover manager status.
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-add.md): add: Add content to context
- [As String • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-as_string.md): as_string: Get context as single string
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-clear.md): clear: Clear context
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-get.md): get: Get all context
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-is_empty.md): is_empty: Check if empty
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-new.md): new: Create a new fast context
- [size • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContext-size.md): size: Get current size
- [Cache Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-cache_enabled.md): cache_enabled: Enable/disable caching.
- [Cache Ttl • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-cache_ttl.md): cache_ttl: Set cache TTL.
- [Max Parallel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-max_parallel.md): max_parallel: Set max parallel.
- [Max Turns • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-max_turns.md): max_turns: Set max turns.
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-model.md): model: Set model.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-new.md): new: Create a new config.
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-timeout.md): timeout: Set timeout.
- [Workspace Path • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextConfig-workspace_path.md): workspace_path: Set workspace path.
- [Add File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextResult-add_file.md): add_file: Add a file match.
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextResult-is_empty.md): is_empty: Check if empty.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextResult-new.md): new: Create a new result.
- [To Context String • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextResult-to_context_string.md): to_context_string: Convert to context string for agent injection.
- [Total Files • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FastContextResult-total_files.md): total_files: Get total number of files.
- [Line Range • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileMatch-line_range.md): line_range: Add a line range.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileMatch-new.md): new: Create a new file match.
- [Relevance Score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileMatch-relevance_score.md): relevance_score: Set relevance score.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileSearchCall-new.md): new: Create a new file search call
- [Max Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileSessionStore-max_messages.md): max_messages: Set max messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileSessionStore-new.md): new: Create a new file session store
- [With Dir • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FileSessionStore-with_dir.md): with_dir: Create with custom directory
- [Complete Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FlowDisplay-complete_step.md): complete_step: Mark current step as complete and move to next
- [Is Complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FlowDisplay-is_complete.md): is_complete: Check if all steps are complete
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FlowDisplay-new.md): new: Create a new flow display
- [progress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FlowDisplay-progress.md): progress: Get progress percentage
- [Set Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FlowDisplay-set_status.md): set_status: Set status message
- [Average Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FunctionStats-average_duration.md): average_duration: Get average duration.
- [Calls Per Second • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FunctionStats-calls_per_second.md): calls_per_second: Get calls per second.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FunctionStats-new.md): new: Create new stats for a function.
- [record • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/FunctionStats-record.md): record: Record a call.
- [Client ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-client_id.md): client_id: Unique client identifier.
- [close • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-close.md): close: Close the client connection.
- [Connected At • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-connected_at.md): connected_at: Connection timestamp.
- [Is Connected • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-is_connected.md): is_connected: Whether the client is currently connected.
- [receive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-receive.md): receive: Receive an event from the client.
- [send • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayClientProtocol-send.md): send: Send an event to the client.
- [auth • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-auth.md): auth: Enable authentication with token.
- [host • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-host.md): host: Set host.
- [Max Connections • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-max_connections.md): max_connections: Set max connections.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-new.md): new: Create a new config with defaults.
- [port • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-port.md): port: Set port.
- [Session Timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-session_timeout.md): session_timeout: Set session timeout.
- [tls • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayConfig-tls.md): tls: Enable TLS.
- [data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayEvent-data.md): data: Set event data.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayEvent-new.md): new: Create a new gateway event.
- [source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayEvent-source.md): source: Set source identifier.
- [target • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayEvent-target.md): target: Set target identifier.
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayMessage-metadata.md): metadata: Add metadata.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayMessage-new.md): new: Create a new gateway message.
- [Reply To • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayMessage-reply_to.md): reply_to: Set reply_to message ID.
- [text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayMessage-text.md): text: Create a text message.
- [Text Content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayMessage-text_content.md): text_content: Get text content if available.
- [broadcast • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-broadcast.md): broadcast: Broadcast an event to all connected clients.
- [Close Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-close_session.md): close_session: Close a session.
- [Create Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-create_session.md): create_session: Create a new session.
- [emit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-emit.md): emit: Emit an event to registered handlers.
- [Get Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-get_agent.md): get_agent: Get a registered agent by ID.
- [Get Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-get_session.md): get_session: Get a session by ID.
- [health • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-health.md): health: Get gateway health status.
- [host • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-host.md): host: Host the gateway is bound to.
- [Is Running • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-is_running.md): is_running: Whether the gateway is currently running.
- [List Agents • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-list_agents.md): list_agents: List all registered agent IDs.
- [List Sessions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-list_sessions.md): list_sessions: List session IDs, optionally filtered by agent.
- [port • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-port.md): port: Port the gateway is listening on.
- [Register Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-register_agent.md): register_agent: Register an agent with the gateway.
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-start.md): start: Start the gateway server.
- [stop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-stop.md): stop: Stop the gateway server.
- [Unregister Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewayProtocol-unregister_agent.md): unregister_agent: Unregister an agent from the gateway.
- [Add Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-add_message.md): add_message: Add a message to the session history.
- [Agent ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-agent_id.md): agent_id: ID of the agent handling this session.
- [Client ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-client_id.md): client_id: ID of the client in this session.
- [close • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-close.md): close: Close the session.
- [Created At • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-created_at.md): created_at: Session creation timestamp.
- [Get Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-get_messages.md): get_messages: Get session message history.
- [Get State • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-get_state.md): get_state: Get session state.
- [Is Active • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-is_active.md): is_active: Whether the session is currently active.
- [Last Activity • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-last_activity.md): last_activity: Last activity timestamp.
- [Session ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-session_id.md): session_id: Unique session identifier.
- [Set State • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GatewaySessionProtocol-set_state.md): set_state: Set a session state value.
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Guardrail-name.md): name: Get guardrail name
- [validate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Guardrail-validate.md): validate: Validate the output
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-add.md): add: Add a guardrail to the chain
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-config.md): config: Set config
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-len.md): len: Get guardrail count
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-new.md): new: Create a new guardrail chain
- [validate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailChain-validate.md): validate: Validate output through all guardrails
- [enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-enabled.md): enabled: Enable guardrails
- [Error Template • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-error_template.md): error_template: Set error template
- [Fallback Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-fallback_response.md): fallback_response: Set fallback response
- [LLM Validator • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-llm_validator.md): llm_validator: Set LLM validator prompt
- [Log Results • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-log_results.md): log_results: Set log results
- [Max Retries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-max_retries.md): max_retries: Set max retries
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-new.md): new: Create new config
- [On Fail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-on_fail.md): on_fail: Set action on failure
- [On Failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-on_failure.md): on_failure: Set failure action
- [policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailConfig-policy.md): policy: Add a policy
- [fail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-fail.md): fail: Create a failing result with a message
- [failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-failure.md): failure: Create a failed result
- [From Tuple • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-from_tuple.md): from_tuple: Create from a tuple (success, result_or_error)
- [Get Result Or • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-get_result_or.md): get_result_or: Get the result or original content
- [Is Failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-is_failure.md): is_failure: Check if failed
- [Is Success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-is_success.md): is_success: Check if passed
- [pass • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-pass.md): pass: Create a successful result without modification
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-success.md): success: Create a successful result
- [With Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-with_metadata.md): with_metadata: Add metadata
- [With Modification • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/GuardrailResult-with_modification.md): with_modification: Create a result with modified output
- [Check Safety • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-check_safety.md): check_safety: Check safety constraints before handoff
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-config.md): config: Set handoff configuration
- [Get Tool Description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-get_tool_description.md): get_tool_description: Get the tool description for this handoff
- [Get Tool Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-get_tool_name.md): get_tool_name: Get the tool name for this handoff
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-new.md): new: Create a new handoff to a target agent
- [Prepare Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-prepare_context.md): prepare_context: Prepare context data for handoff based on context policy
- [Tool Description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-tool_description.md): tool_description: Set custom tool description
- [Tool Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Handoff-tool_name.md): tool_name: Set custom tool name
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-clear.md): clear: Clear the chain
- [contains • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-contains.md): contains: Check if agent is in chain (cycle detection)
- [depth • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-depth.md): depth: Get current depth
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-get.md): get: Get current chain
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-new.md): new: Create a new handoff chain
- [pop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-pop.md): pop: Pop agent from chain
- [push • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffChain-push.md): push: Push agent to chain
- [Async Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-async_mode.md): async_mode: Enable async mode
- [Context Policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-context_policy.md): context_policy: Set context policy
- [Detect Cycles • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-detect_cycles.md): detect_cycles: Enable/disable cycle detection
- [Include History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-include_history.md): include_history: Set whether to include history
- [Max Concurrent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-max_concurrent.md): max_concurrent: Set max concurrent handoffs
- [Max Context Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-max_context_messages.md): max_context_messages: Set max context messages
- [Max Context Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-max_context_tokens.md): max_context_tokens: Set max context tokens
- [Max Depth • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-max_depth.md): max_depth: Set max handoff depth
- [message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-message.md): message: Set handoff message
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-metadata.md): metadata: Add metadata
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-new.md): new: Create a new handoff configuration
- [Preserve System • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-preserve_system.md): preserve_system: Set preserve system messages
- [Timeout Seconds • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-timeout_seconds.md): timeout_seconds: Set timeout in seconds
- [To Map • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffConfig-to_map.md): to_map: Convert to dictionary/map
- [Allow All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-allow_all.md): allow_all: Allow all handoffs
- [Allow Only • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-allow_only.md): allow_only: Allow only specific agents
- [deny • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-deny.md): deny: Deny specific agents
- [Deny All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-deny_all.md): deny_all: Deny all handoffs
- [Is Allowed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-is_allowed.md): is_allowed: Check if handoff to target is allowed
- [Keep Last N • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-keep_last_n.md): keep_last_n: Keep only the last n messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-new.md): new: Create a new handoff filter
- [Remove All Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-remove_all_tools.md): remove_all_tools: Remove all tool calls from the message history
- [Remove System Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffFilters-remove_system_messages.md): remove_system_messages: Remove all system messages
- [context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffInputData-context.md): context: Add context
- [messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffInputData-messages.md): messages: Set messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffInputData-new.md): new: Create new handoff input data
- [Source Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffInputData-source_agent.md): source_agent: Set source agent
- [failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-failure.md): failure: Create a failed result
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-success.md): success: Create a successful result
- [With Depth • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-with_depth.md): with_depth: Set handoff depth
- [With Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-with_duration.md): with_duration: Set duration
- [With Source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-with_source.md): with_source: Set source agent
- [With Target • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HandoffResult-with_target.md): with_target: Set target agent
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookDefinition-execute.md): execute: Execute the hook
- [matches • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookDefinition-matches.md): matches: Check if this hook matches the target
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookDefinition-new.md): new: Create a new hook definition
- [With Matcher • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookDefinition-with_matcher.md): with_matcher: Set matcher pattern
- [With Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookDefinition-with_name.md): with_name: Set name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-new.md): new: Create a new hook input
- [With Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-with_agent.md): with_agent: Set agent name
- [With Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-with_error.md): with_error: Set error
- [With Extra • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-with_extra.md): with_extra: Add extra data
- [With Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-with_message.md): with_message: Set message
- [With Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookInput-with_tool.md): with_tool: Set tool info
- [Before Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookPluginProtocol-before_agent.md): before_agent: Called before agent execution
- [Add Definition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-add_definition.md): add_definition: Add a hook definition
- [Add Hook • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-add_hook.md): add_hook: Add a hook
- [Add Hook With Matcher • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-add_hook_with_matcher.md): add_hook_with_matcher: Add a hook with matcher
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-execute.md): execute: Execute all hooks for an event
- [Execute Async • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-execute_async.md): execute_async: Execute hooks asynchronously (for future async hooks)
- [Has Hooks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-has_hooks.md): has_hooks: Check if any hooks exist for an event
- [Hook Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-hook_count.md): hook_count: Get hook count for an event
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-new.md): new: Create a new hook registry
- [Remove Hook • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRegistry-remove_hook.md): remove_hook: Remove a hook by ID
- [allow • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-allow.md): allow: Create an allow result
- [Allow With Reason • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-allow_with_reason.md): allow_with_reason: Create an allow result with reason
- [ask • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-ask.md): ask: Create an ask result
- [block • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-block.md): block: Create a block result
- [deny • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-deny.md): deny: Create a deny result
- [Is Allowed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-is_allowed.md): is_allowed: Check if the result allows execution
- [Is Denied • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-is_denied.md): is_denied: Check if the result denies execution
- [suppress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-suppress.md): suppress: Suppress output
- [With Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-with_context.md): with_context: Add additional context
- [With Modified Input • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookResult-with_modified_input.md): with_modified_input: Add modified input
- [After Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-after_agent.md): after_agent: Run after-agent hooks
- [After Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-after_tool.md): after_tool: Run after-tool hooks
- [Before Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-before_agent.md): before_agent: Run before-agent hooks
- [Before Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-before_tool.md): before_tool: Run before-tool hooks
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-new.md): new: Create a new hook runner
- [On Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HookRunner-on_error.md): on_error: Run on-error hooks
- [enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HooksConfig-enabled.md): enabled: Enable hooks
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/HooksConfig-new.md): new: Create a new hooks config
- [expr • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/If-expr.md): expr: Create an expression condition.
- [generate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgent-generate.md): generate: Generate an image from a prompt (placeholder)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgent-new.md): new: Create a new ImageAgent builder
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgentBuilder-build.md): build: Build the ImageAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgentBuilder-config.md): config: Set the config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgentBuilder-name.md): name: Set the agent name
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageAgentBuilder-verbose.md): verbose: Set verbose mode
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageConfig-new.md): new: Create a new ImageConfig
- [quality • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageConfig-quality.md): quality: Set the quality
- [size • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageConfig-size.md): size: Set the size
- [style • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ImageConfig-style.md): style: Set the style
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/InMemoryAdapter-new.md): new: Create a new in-memory adapter
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/InMemorySessionStore-new.md): new: API reference for InMemorySessionStore.new
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/InMemoryVectorStore-new.md): new: Create a new in-memory vector store
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/JsonFileExporter-new.md): new: Create a new JSON file exporter.
- [judge • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Judge-judge.md): judge: Judge an output (placeholder - would use LLM in real implementation).
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Judge-new.md): new: Create a new judge.
- [With Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Judge-with_config.md): with_config: Set configuration.
- [With Threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Judge-with_threshold.md): with_threshold: Set threshold.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/JudgeResult-new.md): new: Create a new result.
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-add.md): add: Add content to knowledge base
- [Add Document • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-add_document.md): add_document: Add a document
- [chunk • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-chunk.md): chunk: Chunk text using configured strategy
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-clear.md): clear: Clear all documents
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-delete.md): delete: Delete document by ID
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-get.md): get: Get document by ID
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-len.md): len: Get document count
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-new.md): new: Create a new knowledge builder
- [search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Knowledge-search.md): search: Search knowledge base (placeholder - would use embeddings in real impl)
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeBuilder-build.md): build: Build the Knowledge instance
- [chunking • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeBuilder-chunking.md): chunking: Set chunking config
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeBuilder-config.md): config: Set config
- [Retrieval Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeBuilder-retrieval_strategy.md): retrieval_strategy: Set retrieval strategy
- [Agent ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-agent_id.md): agent_id: Set agent ID
- [Chunk Size • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-chunk_size.md): chunk_size: Set chunk size
- [chunking • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-chunking.md): chunking: Set chunking config
- [Default Limit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-default_limit.md): default_limit: Set default limit
- [embedder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-embedder.md): embedder: Set embedder
- [Enable Reranking • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-enable_reranking.md): enable_reranking: Enable reranking
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-new.md): new: Create a new config
- [Rerank Model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-rerank_model.md): rerank_model: Set rerank model
- [Retrieval K • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-retrieval_k.md): retrieval_k: Set retrieval k
- [Retrieval Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-retrieval_strategy.md): retrieval_strategy: Set retrieval strategy
- [source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-source.md): source: Add a source
- [sources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-sources.md): sources: Set sources
- [User ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-user_id.md): user_id: Set user ID
- [With Rerank • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeConfig-with_rerank.md): with_rerank: Enable reranking
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-add.md): add: Add content to the store
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-delete.md): delete: Delete an item
- [Delete All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-delete_all.md): delete_all: Delete all items
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-get.md): get: Get item by ID
- [Get All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-get_all.md): get_all: Get all items
- [search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-search.md): search: Search for relevant content
- [update • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/KnowledgeStoreProtocol-update.md): update: Update an item
- [Block On Failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LLMGuardrail-block_on_failure.md): block_on_failure: Set whether to block on failure
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LLMGuardrail-new.md): new: Create a new LLM guardrail
- [With Model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LLMGuardrail-with_model.md): with_model: Set the model
- [With Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LLMGuardrail-with_prompt.md): with_prompt: Set the prompt template
- [Before LLM Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LLMPluginProtocol-before_llm_call.md): before_llm_call: Called before LLM call
- [max • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LengthGuardrail-max.md): max: Set maximum length
- [min • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LengthGuardrail-min.md): min: Set minimum length
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LengthGuardrail-new.md): new: Create a new length guardrail
- [content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LineRange-content.md): content: Set content.
- [Line Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LineRange-line_count.md): line_count: Get line count.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LineRange-new.md): new: Create a new line range.
- [Relevance Score • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LineRange-relevance_score.md): relevance_score: Set relevance score.
- [API Key • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmConfig-api_key.md): api_key: Set the API key
- [Base URL • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmConfig-base_url.md): base_url: Set the base URL
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmConfig-max_tokens.md): max_tokens: Set max tokens
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmConfig-new.md): new: Create a new LLM config with the given model
- [temperature • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmConfig-temperature.md): temperature: Set the temperature
- [assistant • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmMessage-assistant.md): assistant: Create an assistant message
- [system • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmMessage-system.md): system: Create a system message
- [user • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmMessage-user.md): user: Create a user message
- [chat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProtocol-chat.md): chat: Chat with the LLM
- [Chat With Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProtocol-chat_with_tools.md): chat_with_tools: Chat with tools
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProtocol-model.md): model: Get the model name
- [chat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProvider-chat.md): chat: Send a chat completion request
- [Chat Stream • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProvider-chat_stream.md): chat_stream: Stream a chat completion (returns chunks)
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/LlmProvider-model.md): model: Get the model name
- [Call Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-call_tool.md): call_tool: Call a tool (placeholder)
- [connect • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-connect.md): connect: Connect to the MCP server (placeholder)
- [disconnect • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-disconnect.md): disconnect: Disconnect from the MCP server
- [Get Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-get_prompt.md): get_prompt: Get a prompt (placeholder)
- [Is Connected • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-is_connected.md): is_connected: Check if connected
- [List Prompts • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-list_prompts.md): list_prompts: List available prompts (placeholder)
- [List Resources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-list_resources.md): list_resources: List available resources (placeholder)
- [List Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-list_tools.md): list_tools: List available tools (placeholder)
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-new.md): new: Create a new MCP builder
- [Read Resource • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-read_resource.md): read_resource: Read a resource (placeholder)
- [status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCP-status.md): status: Get connection status
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-build.md): build: Build the MCP client
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-config.md): config: Set config
- [HTTP • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-http.md): http: Set HTTP server
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-name.md): name: Set server name
- [security • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-security.md): security: Set security
- [server • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-server.md): server: Set stdio server
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-tool.md): tool: Add a tool (for testing)
- [websocket • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPBuilder-websocket.md): websocket: Set WebSocket server
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPCall-new.md): new: Create a new MCP call
- [debug • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPConfig-debug.md): debug: Enable debug mode
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPConfig-new.md): new: Create a new MCPConfig
- [security • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPConfig-security.md): security: Set security
- [transport • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPConfig-transport.md): transport: Set transport
- [image • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPContent-image.md): image: Create image content
- [text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPContent-text.md): text: Create text content
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPResource-new.md): new: Create a new resource
- [Is Running • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-is_running.md): is_running: Check if running
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-new.md): new: Create a new MCP server
- [Register Resource • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-register_resource.md): register_resource: Register a resource
- [Register Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-register_tool.md): register_tool: Register a tool
- [resources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-resources.md): resources: Get registered resources
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-start.md): start: Start the server (placeholder)
- [stop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-stop.md): stop: Stop the server
- [tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPServer-tools.md): tools: Get registered tools
- [Input Schema • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPTool-input_schema.md): input_schema: Set input schema
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MCPTool-new.md): new: Create a new MCP tool
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-clear.md): clear: Clear memory
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-config.md): config: Get the config
- [Default Memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-default_memory.md): default_memory: Create with default config
- [history • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-history.md): history: Get conversation history
- [In Memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-in_memory.md): in_memory: Create a new in-memory memory
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-new.md): new: Create a new memory with the given adapter
- [search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-search.md): search: Search memory
- [store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Memory-store.md): store: Store a message
- [Clear Short Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryAdapter-clear_short_term.md): clear_short_term: Clear short-term memory
- [Get Short Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryAdapter-get_short_term.md): get_short_term: Get all short-term messages
- [Search Short Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryAdapter-search_short_term.md): search_short_term: Search short-term memory
- [Store Long Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryAdapter-store_long_term.md): store_long_term: Store in long-term memory (optional)
- [Store Short Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryAdapter-store_short_term.md): store_short_term: Store a message in short-term memory
- [Max Messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryConfig-max_messages.md): max_messages: Set max messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryConfig-new.md): new: Create a new memory config with defaults
- [provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryConfig-provider.md): provider: Set the memory provider
- [With Long Term • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryConfig-with_long_term.md): with_long_term: Enable long-term memory
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryMessage-new.md): new: Create a new memory message
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryPreset-new.md): new: Create a new memory preset
- [option • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryPreset-option.md): option: Add an option
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryProtocol-clear.md): clear: Clear memory
- [history • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryProtocol-history.md): history: Get conversation history
- [search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryProtocol-search.md): search: Search memory
- [store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MemoryProtocol-store.md): store: Store a message in memory
- [assistant • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Message-assistant.md): assistant: Create an assistant message
- [system • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Message-system.md): system: Create a system message
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Message-tool.md): tool: Create a tool response message
- [user • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Message-user.md): user: Create a user message
- [cleanup • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-cleanup.md): cleanup: Cleanup resources
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-disable.md): disable: Disable telemetry
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-enable.md): enable: Enable telemetry
- [flush • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-flush.md): flush: Flush any pending events
- [Get Property • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-get_property.md): get_property: Get a property
- [Is Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-is_enabled.md): is_enabled: Check if telemetry is enabled
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-new.md): new: Create a new minimal telemetry instance
- [Session ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-session_id.md): session_id: Get session ID
- [Set Property • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-set_property.md): set_property: Set a property
- [Set User ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-set_user_id.md): set_user_id: Set user ID
- [Track Agent Complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_agent_complete.md): track_agent_complete: Track agent completion
- [Track Agent Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_agent_start.md): track_agent_start: Track agent start
- [Track Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_error.md): track_error: Track error
- [Track Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_event.md): track_event: Track an event (no-op if disabled or in performance mode)
- [Track LLM Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_llm_call.md): track_llm_call: Track LLM call
- [Track Tool Execution • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-track_tool_execution.md): track_tool_execution: Track tool execution
- [User ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-user_id.md): user_id: Get user ID
- [With Session ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MinimalTelemetry-with_session_id.md): with_session_id: Create with specific session ID
- [Add Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MockLlmProvider-add_response.md): add_response: Add a response to return (FIFO queue)
- [Add Tool Calls • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MockLlmProvider-add_tool_calls.md): add_tool_calls: Add tool calls to return with next response
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MockLlmProvider-new.md): new: Create a new mock provider
- [With Response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MockLlmProvider-with_response.md): with_response: Create with a single response
- [Add Shared • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-add_shared.md): add_shared: Add shared segment
- [Agent Ids • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-agent_ids.md): agent_ids: Get all agent IDs
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-get.md): get: Get manager for an agent
- [Get Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-get_mut.md): get_mut: Get mutable manager for an agent
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-new.md): new: Create a new multi-agent context manager
- [Register Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/MultiAgentContextManager-register_agent.md): register_agent: Register an agent
- [extract • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgent-extract.md): extract: Extract text from a document or image (placeholder)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgent-new.md): new: Create a new OCRAgent builder
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgentBuilder-build.md): build: Build the OCRAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgentBuilder-config.md): config: Set the config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRAgentBuilder-name.md): name: Set the agent name
- [Image Limit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRConfig-image_limit.md): image_limit: Set image limit
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRConfig-new.md): new: Create a new OCRConfig
- [pages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OCRConfig-pages.md): pages: Set pages to process
- [flush • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ObsCollector-flush.md): flush: Flush pending events
- [record • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ObsCollector-record.md): record: Record an event
- [Default Model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OpenAiProvider-default_model.md): default_model: Create with default config
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OpenAiProvider-new.md): new: Create a new OpenAI provider
- [file • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OutputConfig-file.md): file: Set output file
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OutputConfig-new.md): new: Create a new output config
- [silent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OutputConfig-silent.md): silent: Set silent mode
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/OutputConfig-verbose.md): verbose: Set verbose mode
- [Must Match • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PatternGuardrail-must_match.md): must_match: Set must match pattern
- [Must Not Match • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PatternGuardrail-must_not_match.md): must_not_match: Set must not match pattern
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PatternGuardrail-new.md): new: Create a new pattern guardrail
- [evaluate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluator-evaluate.md): evaluate: Evaluate performance metrics.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluator-new.md): new: Create a new builder.
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluatorBuilder-build.md): build: Build the evaluator.
- [Max Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluatorBuilder-max_duration.md): max_duration: Set maximum duration.
- [Max Ttft • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluatorBuilder-max_ttft.md): max_ttft: Set maximum TTFT.
- [threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceEvaluatorBuilder-threshold.md): threshold: Set threshold.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMetrics-new.md): new: Create new metrics with duration.
- [With Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMetrics-with_tokens.md): with_tokens: Set token counts.
- [With Tokens Per Second • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMetrics-with_tokens_per_second.md): with_tokens_per_second: Set tokens per second.
- [With Ttft • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMetrics-with_ttft.md): with_ttft: Set TTFT.
- [All API Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-all_api_stats.md): all_api_stats: Get all API stats.
- [All Function Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-all_function_stats.md): all_function_stats: Get all function stats.
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-clear.md): clear: Clear all data.
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-disable.md): disable: Disable monitoring.
- [elapsed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-elapsed.md): elapsed: Get elapsed time since start.
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-enable.md): enable: Enable monitoring.
- [Get API Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-get_api_stats.md): get_api_stats: Get API stats.
- [Get Function Stats • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-get_function_stats.md): get_function_stats: Get function stats.
- [Get Report • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-get_report.md): get_report: Get performance report.
- [Is Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-is_enabled.md): is_enabled: Check if enabled.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-new.md): new: Create a new monitor.
- [Slowest Apis • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-slowest_apis.md): slowest_apis: Get slowest APIs.
- [Slowest Functions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-slowest_functions.md): slowest_functions: Get slowest functions.
- [Track API • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-track_api.md): track_api: Track an API call.
- [Track Function • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PerformanceMonitor-track_function.md): track_function: Track a function call.
- [Add Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-add_step.md): add_step: Add a step.
- [Completed Steps • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-completed_steps.md): completed_steps: Get completed step IDs.
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-description.md): description: Set description.
- [Get Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-get_step.md): get_step: Get step by ID.
- [Get Step Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-get_step_mut.md): get_step_mut: Get mutable step by ID.
- [Has Failed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-has_failed.md): has_failed: Check if plan has failed.
- [Is Complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-is_complete.md): is_complete: Check if plan is complete.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-new.md): new: Create a new plan.
- [Next Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-next_step.md): next_step: Get next ready step.
- [progress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-progress.md): progress: Get progress percentage.
- [Step Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plan-step_count.md): step_count: Get step count.
- [complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-complete.md): complete: Mark as completed.
- [Depends On • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-depends_on.md): depends_on: Add a dependency.
- [estimated • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-estimated.md): estimated: Set estimated duration.
- [fail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-fail.md): fail: Mark as failed.
- [Is Ready • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-is_ready.md): is_ready: Check if step is ready to execute.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-new.md): new: Create a new plan step.
- [skip • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-skip.md): skip: Mark as skipped.
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStep-start.md): start: Mark as in progress.
- [count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-count.md): count: Get plan count.
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-delete.md): delete: Delete a plan.
- [list • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-list.md): list: List all plans.
- [load • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-load.md): load: Load a plan by ID.
- [Load Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-load_mut.md): load_mut: Load mutable plan by ID.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-new.md): new: Create a new storage.
- [persist • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-persist.md): persist: Save to file.
- [restore • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-restore.md): restore: Load from file.
- [save • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-save.md): save: Save a plan.
- [With Path • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanStorage-with_path.md): with_path: Create with file path.
- [Add Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-add_step.md): add_step: Add a step to the plan
- [Complete Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-complete_step.md): complete_step: Mark current step as complete
- [Create Plan • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-create_plan.md): create_plan: Create a plan from a task
- [current • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-current.md): current: Get current step
- [Fail Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-fail_step.md): fail_step: Mark current step as failed
- [Is Complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-is_complete.md): is_complete: Check if plan is complete
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-new.md): new: Create a new planning agent
- [progress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-progress.md): progress: Get progress percentage
- [steps • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningAgent-steps.md): steps: Get all steps
- [Auto Approve • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-auto_approve.md): auto_approve: Enable auto-approve
- [enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-enabled.md): enabled: Enable planning
- [LLM • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-llm.md): llm: Set planning LLM
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-new.md): new: Create a new planning config
- [Read Only • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-read_only.md): read_only: Enable read-only mode
- [With Reasoning • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PlanningConfig-with_reasoning.md): with_reasoning: Enable reasoning
- [info • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plugin-info.md): info: Get plugin info
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Plugin-name.md): name: Get plugin name
- [all • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginHook-all.md): all: Get all hook types
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-description.md): description: Set description
- [hook • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-hook.md): hook: Add hook
- [hooks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-hooks.md): hooks: Add multiple hooks
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-new.md): new: Create new plugin info
- [Plugin Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-plugin_type.md): plugin_type: Set plugin type
- [version • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginInfo-version.md): version: Set version
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-disable.md): disable: Disable a plugin
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-enable.md): enable: Enable a plugin
- [Enabled Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-enabled_count.md): enabled_count: Count enabled plugins
- [Execute Hook • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-execute_hook.md): execute_hook: Execute hooks for a specific hook type
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-get.md): get: Get plugin by name
- [Get Hook Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-get_hook_plugins.md): get_hook_plugins: Get plugins that handle a specific hook
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-is_empty.md): is_empty: Check if empty
- [Is Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-is_enabled.md): is_enabled: Check if a plugin is enabled
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-len.md): len: Count registered plugins
- [List Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-list_plugins.md): list_plugins: List all plugins
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-new.md): new: Create a new plugin manager
- [register • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginManager-register.md): register: Register a plugin
- [initialize • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginProtocol-initialize.md): initialize: Initialize the plugin
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginProtocol-metadata.md): metadata: Get plugin metadata
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-disable.md): disable: Disable a plugin
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-enable.md): enable: Enable a plugin
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-get.md): get: Get plugin metadata by name
- [has • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-has.md): has: Check if plugin is registered
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-is_empty.md): is_empty: Check if registry is empty
- [Is Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-is_enabled.md): is_enabled: Check if plugin is enabled
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-len.md): len: Get plugin count
- [list • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-list.md): list: List all registered plugins
- [List Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-list_enabled.md): list_enabled: List enabled plugins
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-new.md): new: Create a new plugin registry
- [register • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginRegistry-register.md): register: Register a plugin
- [Get List • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginsEnabled-get_list.md): get_list: Get list of enabled plugins (None if all enabled)
- [Is Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PluginsEnabled-is_enabled.md): is_enabled: Check if plugins are enabled
- [Add Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-add_rule.md): add_rule: Add a rule.
- [check • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-check.md): check: Check content against all rules.
- [Check And Redact • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-check_and_redact.md): check_and_redact: Check and redact content.
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-clear.md): clear: Clear all rules.
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-disable.md): disable: Disable the engine.
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-enable.md): enable: Enable the engine.
- [Get Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-get_rule.md): get_rule: Get a rule by name.
- [Get Rule Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-get_rule_mut.md): get_rule_mut: Get mutable rule by name.
- [List Rules • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-list_rules.md): list_rules: List all rules.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-new.md): new: Create a new engine.
- [Remove Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-remove_rule.md): remove_rule: Remove a rule by name.
- [Rule Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyEngine-rule_count.md): rule_count: Get rule count.
- [block • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyResult-block.md): block: Create a blocking result.
- [pass • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyResult-pass.md): pass: Create a passing result.
- [redact • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyResult-redact.md): redact: Create a redact result.
- [warn • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyResult-warn.md): warn: Create a warning result.
- [action • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-action.md): action: Set action.
- [apply • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-apply.md): apply: Apply the rule to content.
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-description.md): description: Set description.
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-disable.md): disable: Disable the rule.
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-enable.md): enable: Enable the rule.
- [keyword • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-keyword.md): keyword: Add keyword.
- [matches • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-matches.md): matches: Check if content matches this rule.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-new.md): new: Create a new rule.
- [pattern • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-pattern.md): pattern: Set pattern.
- [priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-priority.md): priority: Set priority.
- [replacement • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PolicyRule-replacement.md): replacement: Set replacement.
- [Detect Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgent-detect_strategy.md): detect_strategy: Detect the best expansion strategy for a prompt
- [Expand Sync • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgent-expand_sync.md): expand_sync: Expand a prompt (sync placeholder - actual implementation would use LLM)
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgent-model.md): model: Get model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgent-new.md): new: Create a new builder
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-build.md): build: Build the agent
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-instructions.md): instructions: Set custom instructions
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-max_tokens.md): max_tokens: Set max tokens
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-model.md): model: Set LLM model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-name.md): name: Set agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-new.md): new: Create a new builder
- [temperature • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-temperature.md): temperature: Set temperature
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/PromptExpanderAgentBuilder-verbose.md): verbose: Enable verbose output
- [Detect Strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-detect_strategy.md): detect_strategy: Detect the best rewriting strategy for a query
- [Expand Abbreviations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-expand_abbreviations.md): expand_abbreviations: Expand abbreviations in query
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-model.md): model: Get model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-new.md): new: Create a new builder
- [Rewrite Sync • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgent-rewrite_sync.md): rewrite_sync: Rewrite a query (sync placeholder - actual implementation would use LLM)
- [abbreviation • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-abbreviation.md): abbreviation: Add abbreviation expansion
- [abbreviations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-abbreviations.md): abbreviations: Set abbreviations map
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-build.md): build: Build the agent
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-instructions.md): instructions: Set custom instructions
- [Max Queries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-max_queries.md): max_queries: Set max queries
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-max_tokens.md): max_tokens: Set max tokens
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-model.md): model: Set LLM model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-name.md): name: Set agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-new.md): new: Create a new builder
- [temperature • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-temperature.md): temperature: Set temperature
- [verbose • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/QueryRewriterAgentBuilder-verbose.md): verbose: Enable verbose output
- [Add Source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAG-add_source.md): add_source: Add a knowledge source
- [Build Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAG-build_context.md): build_context: Build context from chunks
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAG-new.md): new: Create a new RAG builder
- [query • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAG-query.md): query: Query the RAG pipeline (placeholder)
- [Truncate Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAG-truncate_context.md): truncate_context: Truncate context to fit token budget
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGBuilder-build.md): build: Build the RAG pipeline
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGBuilder-config.md): config: Set the configuration
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGBuilder-model.md): model: Set the model
- [source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGBuilder-source.md): source: Add a source
- [Citations Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-citations_mode.md): citations_mode: Set citations mode
- [compress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-compress.md): compress: Enable compression
- [Max Context Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-max_context_tokens.md): max_context_tokens: Set max context tokens
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-new.md): new: Create a new RAGConfig
- [rerank • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-rerank.md): rerank: Enable reranking
- [Score Threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-score_threshold.md): score_threshold: Set score threshold
- [strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-strategy.md): strategy: Set retrieval strategy
- [Top K • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGConfig-top_k.md): top_k: Set top_k
- [Add Citation • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGResult-add_citation.md): add_citation: Add a citation
- [Citation Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGResult-citation_count.md): citation_count: Get the number of citations
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RAGResult-new.md): new: Create a new RAG result
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgent-new.md): new: Create a new builder
- [Send Text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgent-send_text.md): send_text: Send text message (placeholder)
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgentBuilder-build.md): build: Build the agent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgentBuilder-config.md): config: Set config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgentBuilder-name.md): name: Set the agent name
- [voice • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeAgentBuilder-voice.md): voice: Set voice
- [instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-instructions.md): instructions: Set instructions
- [Max Response Output Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-max_response_output_tokens.md): max_response_output_tokens: Set max tokens
- [modalities • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-modalities.md): modalities: Set modalities
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-new.md): new: Create a new config
- [temperature • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-temperature.md): temperature: Set temperature
- [Turn Detection • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-turn_detection.md): turn_detection: Set turn detection
- [voice • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RealtimeConfig-voice.md): voice: Set voice
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReasoningStep-new.md): new: Create a new reasoning step
- [enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-enabled.md): enabled: Enable reflection
- [LLM • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-llm.md): llm: Set reflection LLM
- [Max Iterations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-max_iterations.md): max_iterations: Set max iterations
- [Min Iterations • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-min_iterations.md): min_iterations: Set min iterations
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-new.md): new: Create a new reflection config
- [prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionConfig-prompt.md): prompt: Set custom prompt
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionOutput-new.md): new: Create a new reflection output
- [With Improvement • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReflectionOutput-with_improvement.md): with_improvement: Create with improved output
- [evaluate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReliabilityEvaluator-evaluate.md): evaluate: Evaluate tool calls.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReliabilityEvaluator-new.md): new: Create a new builder.
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReliabilityEvaluatorBuilder-build.md): build: Build the evaluator.
- [Expect Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReliabilityEvaluatorBuilder-expect_tool.md): expect_tool: Add expected tool.
- [threshold • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ReliabilityEvaluatorBuilder-threshold.md): threshold: Set threshold.
- [rerank • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RerankerProtocol-rerank.md): rerank: Rerank search results
- [As Bool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResolvedValue-as_bool.md): as_bool: Get as bool
- [As List • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResolvedValue-as_list.md): as_list: Get as list
- [As Str • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResolvedValue-as_str.md): as_str: Get as string
- [Is None • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResolvedValue-is_none.md): is_none: Check if value is none/disabled
- [Is Some • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResolvedValue-is_some.md): is_some: Check if value is enabled (not none)
- [Cpu Percent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-cpu_percent.md): cpu_percent: Set CPU limit.
- [Disk Write Mb • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-disk_write_mb.md): disk_write_mb: Set disk write limit.
- [generous • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-generous.md): generous: Create generous resource limits for trusted code.
- [Max Open Files • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-max_open_files.md): max_open_files: Set max open files.
- [Max Processes • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-max_processes.md): max_processes: Set max processes.
- [Memory Mb • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-memory_mb.md): memory_mb: Set memory limit.
- [minimal • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-minimal.md): minimal: Create minimal resource limits for untrusted code.
- [Network Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-network_enabled.md): network_enabled: Enable/disable network access.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-new.md): new: Create default resource limits.
- [standard • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-standard.md): standard: Create standard resource limits.
- [Timeout Seconds • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResourceLimits-timeout_seconds.md): timeout_seconds: Set timeout.
- [context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ResultExt-context.md): context: Add context to an error
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalConfig-enable.md): enable: Enable retrieval
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalConfig-new.md): new: Create a new RetrievalConfig
- [RAG • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalConfig-rag.md): rag: Set RAG config
- [source • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalConfig-source.md): source: Add a source
- [Add Chunk • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalResult-add_chunk.md): add_chunk: Add a chunk
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalResult-new.md): new: Create a new retrieval result
- [Top Chunks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrievalResult-top_chunks.md): top_chunks: Get top chunks by score
- [retrieve • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrieverProtocol-retrieve.md): retrieve: Retrieve relevant documents
- [strategy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RetrieverProtocol-strategy.md): strategy: Get retrieval strategy
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewritePrompts-get.md): get: Get prompt for strategy
- [All Queries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-all_queries.md): all_queries: Get all queries for retrieval
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-new.md): new: Create a new rewrite result
- [Primary Query • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-primary_query.md): primary_query: Get the primary rewritten query
- [With Hypothetical Document • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-with_hypothetical_document.md): with_hypothetical_document: Set hypothetical document
- [With Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-with_metadata.md): with_metadata: Add metadata
- [With Step Back Question • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-with_step_back_question.md): with_step_back_question: Set step-back question
- [With Sub Queries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteResult-with_sub_queries.md): with_sub_queries: Set sub-queries
- [all • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteStrategy-all.md): all: Get all available strategies
- [From Str • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RewriteStrategy-from_str.md): from_str: Parse from string
- [Get Target • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RoutingConditionProtocol-get_target.md): get_target: Get the target tasks/steps based on condition evaluation. # Arguments * `context` - Dictionary containing variables for evaluation. # Returns List of...
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/RunnableAgentProtocol-run.md): run: Run the agent with a prompt (alias for chat in most cases)
- [Auto Cleanup • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-auto_cleanup.md): auto_cleanup: Set auto-cleanup.
- [docker • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-docker.md): docker: Create a Docker sandbox config.
- [env • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-env.md): env: Add environment variable.
- [limits • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-limits.md): limits: Set resource limits.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-new.md): new: Create a new config with defaults.
- [subprocess • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-subprocess.md): subprocess: Create a subprocess sandbox config.
- [Working Dir • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxConfig-working_dir.md): working_dir: Set working directory.
- [cleanup • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-cleanup.md): cleanup: Clean up sandbox resources.
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-execute.md): execute: Execute code in the sandbox.
- [Execute File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-execute_file.md): execute_file: Execute a file in the sandbox.
- [Get Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-get_status.md): get_status: Get sandbox status information.
- [Is Available • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-is_available.md): is_available: Whether the sandbox backend is available.
- [List Files • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-list_files.md): list_files: List files in a sandbox directory.
- [Read File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-read_file.md): read_file: Read a file from the sandbox.
- [reset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-reset.md): reset: Reset sandbox to initial state.
- [Run Command • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-run_command.md): run_command: Run a shell command in the sandbox.
- [Sandbox Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-sandbox_type.md): sandbox_type: Type of sandbox (docker, subprocess, etc.).
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-start.md): start: Start/initialize the sandbox environment.
- [stop • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-stop.md): stop: Stop/cleanup the sandbox environment.
- [Write File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxProtocol-write_file.md): write_file: Write a file to the sandbox.
- [complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-complete.md): complete: Mark as completed.
- [fail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-fail.md): fail: Mark as failed.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-new.md): new: Create a new sandbox result.
- [output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-output.md): output: Get combined output (stdout + stderr).
- [start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-start.md): start: Mark as started.
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-success.md): success: Check if execution was successful.
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SandboxResult-timeout.md): timeout: Mark as timed out.
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SearchResult-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SearchResult-len.md): len: Get result count
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SearchResult-new.md): new: Create a new search result
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SearchResultItem-new.md): new: Create a new search result item
- [Allow Fs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-allow_fs.md): allow_fs: Allow file system access
- [Allow Network • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-allow_network.md): allow_network: Allow network access
- [Allowed Host • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-allowed_host.md): allowed_host: Add allowed host
- [Allowed Path • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-allowed_path.md): allowed_path: Add allowed path
- [permissive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-permissive.md): permissive: Create a permissive security config
- [restrictive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityConfig-restrictive.md): restrictive: Create a restrictive security config
- [permissive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityPolicy-permissive.md): permissive: Create a permissive security policy
- [restrictive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SecurityPolicy-restrictive.md): restrictive: Create a restrictive security policy
- [Add Assistant Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-add_assistant_message.md): add_assistant_message: Add an assistant message
- [Add Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-add_message.md): add_message: Add a message with role
- [Add User Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-add_user_message.md): add_user_message: Add a user message
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-clear.md): clear: Clear all messages
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-delete.md): delete: Delete the session
- [exists • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-exists.md): exists: Check if session exists on disk
- [Get History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-get_history.md): get_history: Get chat history as LLM messages
- [ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-id.md): id: Get session ID
- [load • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-load.md): load: Load an existing session
- [Message Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-message_count.md): message_count: Get message count
- [messages • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-messages.md): messages: Get all messages
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-new.md): new: Create a new session with default file store
- [save • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-save.md): save: Save current state
- [Set Agent Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-set_agent_name.md): set_agent_name: Set agent name
- [Set User ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-set_user_id.md): set_user_id: Set user ID
- [With Store • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Session-with_store.md): with_store: Create with custom store
- [Add Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionData-add_message.md): add_message: Add a message
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionData-clear.md): clear: Clear all messages
- [Get Chat History • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionData-get_chat_history.md): get_chat_history: Get chat history in LLM-compatible format
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionData-new.md): new: Create new session data
- [assistant • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-assistant.md): assistant: Create an assistant message
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-new.md): new: Create a new session message
- [system • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-system.md): system: Create a system message
- [To Message • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-to_message.md): to_message: Convert to LLM Message
- [user • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-user.md): user: Create a user message
- [With Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionMessage-with_metadata.md): with_metadata: Add metadata
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionStore-delete.md): delete: Delete a session
- [exists • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionStore-exists.md): exists: Check if session exists
- [list • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionStore-list.md): list: List all sessions
- [load • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionStore-load.md): load: Load session data
- [save • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SessionStore-save.md): save: Save session data
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SimpleReranker-new.md): new: Create a new simple reranker
- [Load Full • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillLoader-load_full.md): load_full: Load full skill (Level 2 - instructions).
- [Load Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillLoader-load_metadata.md): load_metadata: Load skill metadata (Level 1 - lightweight).
- [Metadata Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillLoader-metadata_count.md): metadata_count: Get metadata count.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillLoader-new.md): new: Create a new loader.
- [Skill Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillLoader-skill_count.md): skill_count: Get loaded skill count.
- [discover • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-discover.md): discover: Discover skills in the given directories.
- [Get Default Dirs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-get_default_dirs.md): get_default_dirs: Get default skill directories.
- [List Skills • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-list_skills.md): list_skills: List all discovered skill names.
- [load • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-load.md): load: Load a skill by name.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-new.md): new: Create a new manager.
- [Skill Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-skill_count.md): skill_count: Get skill count.
- [To Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillManager-to_prompt.md): to_prompt: Generate XML prompt for all discovered skills.
- [From Properties • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillMetadata-from_properties.md): from_properties: Create from SkillProperties.
- [Get Allowed Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillProperties-get_allowed_tools.md): get_allowed_tools: Get allowed tools as a vector.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillProperties-new.md): new: Create a new SkillProperties with name and description.
- [validate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillProperties-validate.md): validate: Validate the skill properties.
- [Auto Discover • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillsConfig-auto_discover.md): auto_discover: Enable auto-discovery
- [dir • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillsConfig-dir.md): dir: Add a skills directory
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillsConfig-new.md): new: Create a new skills config
- [path • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SkillsConfig-path.md): path: Add a skill path
- [Add Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-add_event.md): add_event: Add an event.
- [end • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-end.md): end: End the span.
- [Is Ended • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-is_ended.md): is_ended: Check if span is ended.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-new.md): new: Create a new span.
- [Set Attribute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-set_attribute.md): set_attribute: Add an attribute.
- [Set Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-set_error.md): set_error: Mark as error.
- [With Parent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Span-with_parent.md): with_parent: Set parent span.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SpanEvent-new.md): new: Create a new event.
- [With Attribute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/SpanEvent-with_attribute.md): with_attribute: Add an attribute.
- [failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StepResult-failure.md): failure: Create a failed step result
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StepResult-success.md): success: Create a successful step result
- [On Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCallback-on_event.md): on_event: Called when a stream event is emitted
- [Event Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-event_count.md): event_count: Get event count
- [Get Content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-get_content.md): get_content: Get final content
- [Get Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-get_error.md): get_error: Get error message if any
- [Has Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-has_error.md): has_error: Check if there was an error
- [Is Complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-is_complete.md): is_complete: Check if streaming completed successfully
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-new.md): new: Create a new collector
- [process • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamCollector-process.md): process: Process an event
- [Agent ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-agent_id.md): agent_id: Set agent ID
- [content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-content.md): content: Set content
- [Delta Text • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-delta_text.md): delta_text: Create a delta text event
- [error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-error.md): error: Set error
- [Error Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-error_event.md): error_event: Create an error event
- [First Token • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-first_token.md): first_token: Create a first token event
- [metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-metadata.md): metadata: Add metadata
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-new.md): new: Create a new stream event
- [reasoning • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-reasoning.md): reasoning: Set as reasoning content
- [Request Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-request_start.md): request_start: Create a request start event
- [Run ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-run_id.md): run_id: Set run ID
- [Session ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-session_id.md): session_id: Set session ID
- [Stream End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-stream_end.md): stream_end: Create a stream end event
- [Tool Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamEvent-tool_call.md): tool_call: Set tool call
- [Add Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamHandler-add_callback.md): add_callback: Add a callback
- [Callback Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamHandler-callback_count.md): callback_count: Get callback count
- [emit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamHandler-emit.md): emit: Emit an event to all callbacks
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamHandler-new.md): new: Create a new stream handler
- [Increment Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-increment_tokens.md): increment_tokens: Increment token count
- [Mark First Token • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-mark_first_token.md): mark_first_token: Mark first token
- [Mark Last Token • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-mark_last_token.md): mark_last_token: Mark last token
- [Mark Request Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-mark_request_start.md): mark_request_start: Mark request start
- [Mark Stream End • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-mark_stream_end.md): mark_stream_end: Mark stream end
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-new.md): new: Create new metrics
- [Stream Duration Ms • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-stream_duration_ms.md): stream_duration_ms: Stream duration in milliseconds
- [Tokens Per Second • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-tokens_per_second.md): tokens_per_second: Tokens per second
- [Total Time Ms • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-total_time_ms.md): total_time_ms: Total time in milliseconds
- [Ttft Ms • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-ttft_ms.md): ttft_ms: Time To First Token in milliseconds
- [Update From Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/StreamMetrics-update_from_event.md): update_from_event: Update metrics from a stream event
- [Can Retry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-can_retry.md): can_retry: Check if task can be retried
- [Display Name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-display_name.md): display_name: Get task name or description
- [ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-id.md): id: Get task ID
- [Increment Retry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-increment_retry.md): increment_retry: Increment retry count
- [Is Completed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-is_completed.md): is_completed: Check if task is completed
- [Is Failed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-is_failed.md): is_failed: Check if task failed
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-new.md): new: Create a new task with description
- [Result Str • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-result_str.md): result_str: Get result as string
- [Set Failed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-set_failed.md): set_failed: Set task as failed
- [Set Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-set_result.md): set_result: Set task result
- [Substitute Variables • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Task-substitute_variables.md): substitute_variables: Substitute variables in description
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-build.md): build: Build the task
- [decision • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-decision.md): decision: Set as decision task
- [Depends On • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-depends_on.md): depends_on: Add dependency
- [Expected Output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-expected_output.md): expected_output: Set expected output
- [Is Start • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-is_start.md): is_start: Set as start task
- [Loop Task • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-loop_task.md): loop_task: Set as loop task
- [Max Retries • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-max_retries.md): max_retries: Set max retries
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-name.md): name: Set task name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-new.md): new: Create a new task builder
- [Next Task • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-next_task.md): next_task: Add next task
- [On Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-on_error.md): on_error: Set error handling
- [Output File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-output_file.md): output_file: Set output file
- [Output Variable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-output_variable.md): output_variable: Set output variable
- [Task Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-task_type.md): task_type: Set task type
- [variable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskBuilder-variable.md): variable: Add variable
- [As Str • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-as_str.md): as_str: Get raw output as string
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-new.md): new: Create a new task output
- [Parse Json • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-parse_json.md): parse_json: Try to parse raw output as JSON
- [With Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-with_agent.md): with_agent: Set agent name
- [With Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-with_duration.md): with_duration: Set duration
- [With Json • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-with_json.md): with_json: Set JSON output
- [With Metadata • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-with_metadata.md): with_metadata: Add metadata
- [With Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TaskOutput-with_tokens.md): with_tokens: Set token usage
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-clear.md): clear: Clear all events.
- [disable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-disable.md): disable: Disable collection.
- [enable • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-enable.md): enable: Enable collection.
- [Event Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-event_count.md): event_count: Get event count.
- [events • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-events.md): events: Get all events.
- [Events By Type • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-events_by_type.md): events_by_type: Get events by type.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-new.md): new: Create a new collector.
- [record • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-record.md): record: Record an event.
- [With Max Events • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryCollector-with_max_events.md): with_max_events: Set max events.
- [complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryContext-complete.md): complete: Complete the context and track event
- [Elapsed Ms • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryContext-elapsed_ms.md): elapsed_ms: Get elapsed time in milliseconds
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryContext-new.md): new: Create a new telemetry context
- [property • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryContext-property.md): property: Add a property
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryEvent-new.md): new: Create a new event.
- [With Data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryEvent-with_data.md): with_data: Add data.
- [With Duration • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TelemetryEvent-with_duration.md): with_duration: Set duration.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TemplateConfig-new.md): new: Create a new template config
- [No System Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TemplateConfig-no_system_prompt.md): no_system_prompt: Disable system prompt
- [prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TemplateConfig-prompt.md): prompt: Set prompt template
- [response • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TemplateConfig-response.md): response: Set response template
- [system • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TemplateConfig-system.md): system: Set system template
- [From Level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-from_level.md): from_level: Create a budget from a predefined level.
- [Get Tokens For Complexity • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-get_tokens_for_complexity.md): get_tokens_for_complexity: Get token budget based on task complexity. # Arguments * `complexity` - Complexity score (0.0 to 1.0) # Returns Adjusted token budget
- [high • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-high.md): high: Create a high budget.
- [low • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-low.md): low: Create a low budget.
- [maximum • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-maximum.md): maximum: Create a maximum budget.
- [medium • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-medium.md): medium: Create a medium budget.
- [minimal • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-minimal.md): minimal: Create a minimal budget.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-new.md): new: Create a new ThinkingBudget with default values.
- [To Map • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudget-to_map.md): to_map: Convert to HashMap for serialization.
- [adaptive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-adaptive.md): adaptive: Set adaptive mode.
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-build.md): build: Build the ThinkingBudget.
- [Complexity Multiplier • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-complexity_multiplier.md): complexity_multiplier: Set complexity multiplier.
- [level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-level.md): level: Set budget level.
- [Max Time Seconds • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-max_time_seconds.md): max_time_seconds: Set maximum time in seconds.
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-max_tokens.md): max_tokens: Set maximum tokens.
- [Min Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingBudgetBuilder-min_tokens.md): min_tokens: Set minimum tokens for adaptive budgeting.
- [enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingConfig-enabled.md): enabled: Create a new config with thinking enabled.
- [With Level • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingConfig-with_level.md): with_level: Create a new config with a specific budget level.
- [Average Time Per Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-average_time_per_session.md): average_time_per_session: Get average time per session.
- [Average Tokens Per Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-average_tokens_per_session.md): average_tokens_per_session: Get average tokens per session.
- [Average Utilization • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-average_utilization.md): average_utilization: Get average budget utilization.
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-clear.md): clear: Clear all tracking data.
- [End Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-end_session.md): end_session: End a thinking session. # Arguments * `session_idx` - Index of the session to end * `tokens_used` - Actual tokens used * `time_seconds` - Actual time...
- [Get Summary • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-get_summary.md): get_summary: Get summary statistics.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-new.md): new: Create a new tracker.
- [Over Budget Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-over_budget_count.md): over_budget_count: Get number of sessions that went over budget.
- [Session Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-session_count.md): session_count: Get the number of sessions.
- [Start Session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingTracker-start_session.md): start_session: Start a new thinking session. # Arguments * `budget_tokens` - Token budget for this session * `budget_time` - Optional time budget * `complexity` -...
- [Is Over Budget • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-is_over_budget.md): is_over_budget: Check if over token budget.
- [Is Over Time • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-is_over_time.md): is_over_time: Check if over time budget.
- [Time Remaining • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-time_remaining.md): time_remaining: Get remaining time budget.
- [To Map • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-to_map.md): to_map: Convert to HashMap for serialization.
- [Token Utilization • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-token_utilization.md): token_utilization: Get token utilization percentage.
- [Tokens Remaining • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ThinkingUsage-tokens_remaining.md): tokens_remaining: Get remaining token budget.
- [complete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-complete.md): complete: Mark as completed.
- [due • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-due.md): due: Set due date.
- [Is Overdue • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-is_overdue.md): is_overdue: Check if overdue.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-new.md): new: Create a new todo item.
- [priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-priority.md): priority: Set priority.
- [tag • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoItem-tag.md): tag: Add a tag.
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-add.md): add: Add an item.
- [By Priority • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-by_priority.md): by_priority: Get items by priority.
- [By Tag • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-by_tag.md): by_tag: Get items by tag.
- [completed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-completed.md): completed: Get completed items.
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-get.md): get: Get item by ID.
- [Get Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-get_mut.md): get_mut: Get mutable item by ID.
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-is_empty.md): is_empty: Check if empty.
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-len.md): len: Get item count.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-new.md): new: Create a new todo list.
- [overdue • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-overdue.md): overdue: Get overdue items.
- [pending • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-pending.md): pending: Get pending items.
- [progress • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-progress.md): progress: Get progress percentage.
- [remove • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TodoList-remove.md): remove: Remove item by ID.
- [Available Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TokenBudget-available_context.md): available_context: Get available context tokens
- [Can Add Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TokenBudget-can_add_context.md): can_add_context: Check if budget allows more context
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TokenBudget-new.md): new: Create a new token budget
- [definition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tool-definition.md): definition: Get the tool definition for LLM function calling
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tool-description.md): description: Get the tool description
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tool-execute.md): execute: Execute the tool with the given arguments
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tool-name.md): name: Get the tool name
- [Parameters Schema • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tool-parameters_schema.md): parameters_schema: Get the parameter schema as JSON Schema
- [arguments • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCall-arguments.md): arguments: Get the function arguments (convenience method)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCall-name.md): name: Get the function name (convenience method)
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCall-new.md): new: Create a new tool call
- [arguments • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCallData-arguments.md): arguments: Set arguments
- [ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCallData-id.md): id: Set ID
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCallData-new.md): new: Create new tool call data
- [Is Correct • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCallResult-is_correct.md): is_correct: Check if correct (expected == called).
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolCallResult-new.md): new: Create a new tool call result.
- [Execute Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolPluginProtocol-execute_tool.md): execute_tool: Execute a tool by name
- [Get Tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolPluginProtocol-get_tools.md): get_tools: Get tool definitions provided by this plugin
- [description • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolProtocol-description.md): description: Get the tool's description
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolProtocol-execute.md): execute: Execute the tool with arguments
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolProtocol-name.md): name: Get the tool's name
- [Parameters Schema • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolProtocol-parameters_schema.md): parameters_schema: Get the tool's parameter schema
- [definitions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-definitions.md): definitions: Get all tool definitions
- [execute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-execute.md): execute: Execute a tool by name
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-get.md): get: Get a tool by name
- [has • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-has.md): has: Check if a tool exists
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-is_empty.md): is_empty: Check if the registry is empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-len.md): len: Get the number of registered tools
- [list • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-list.md): list: List all tool names
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-new.md): new: Create a new empty registry
- [register • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolRegistry-register.md): register: Register a tool
- [failure • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolResult-failure.md): failure: Create a failed result
- [success • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ToolResult-success.md): success: Create a successful result
- [Add Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-add_event.md): add_event: Add event to current span.
- [Current Span ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-current_span_id.md): current_span_id: Get current span ID.
- [elapsed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-elapsed.md): elapsed: Get elapsed time since trace start.
- [End Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-end_span.md): end_span: End a span.
- [Get Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-get_span.md): get_span: Get a span by ID.
- [Get Span Mut • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-get_span_mut.md): get_span_mut: Get mutable span by ID.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-new.md): new: Create a new trace context.
- [Set Attribute • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-set_attribute.md): set_attribute: Set attribute on current span.
- [Span Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-span_count.md): span_count: Get span count.
- [spans • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-spans.md): spans: Get all spans.
- [Start Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContext-start_span.md): start_span: Start a new span.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceContextData-new.md): new: Create a new trace context
- [data • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceEvent-data.md): data: Add data
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceEvent-new.md): new: Create a new trace event
- [Span ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceEvent-span_id.md): span_id: Set span ID
- [Trace ID • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceEvent-trace_id.md): trace_id: Set trace ID
- [export • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceExporter-export.md): export: Export a trace.
- [close • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceSinkProtocol-close.md): close: Close the sink
- [flush • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceSinkProtocol-flush.md): flush: Flush pending events
- [write • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TraceSinkProtocol-write.md): write: Write a trace event
- [Add Exporter • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-add_exporter.md): add_exporter: Add an exporter.
- [End Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-end_span.md): end_span: End a span in a trace.
- [End Trace • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-end_trace.md): end_trace: End a trace and export.
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-new.md): new: Create a new tracer.
- [Start Span • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-start_span.md): start_span: Start a span in a trace.
- [Start Trace • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-start_trace.md): start_trace: Start a new trace.
- [Trace Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/Tracer-trace_count.md): trace_count: Get trace count.
- [env • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-env.md): env: Add an environment variable
- [header • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-header.md): header: Add a header
- [HTTP • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-http.md): http: Create a new HTTP transport config
- [stdio • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-stdio.md): stdio: Create a new stdio transport config
- [timeout • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-timeout.md): timeout: Set timeout
- [websocket • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/TransportConfig-websocket.md): websocket: Create a new WebSocket transport config
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorRecord-new.md): new: Create a new vector record
- [add • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-add.md): add: Add a record to the store
- [clear • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-clear.md): clear: Clear all records
- [delete • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-delete.md): delete: Delete a record by ID
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-get.md): get: Get a record by ID
- [Get All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-get_all.md): get_all: Get all records
- [Is Empty • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-is_empty.md): is_empty: Check if empty
- [len • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-len.md): len: Get record count
- [search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VectorStoreProtocol-search.md): search: Search for similar records
- [generate • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgent-generate.md): generate: Generate a video from a prompt (placeholder)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgent-new.md): new: Create a new VideoAgent builder
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgentBuilder-build.md): build: Build the VideoAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgentBuilder-config.md): config: Set the config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoAgentBuilder-name.md): name: Set the agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoConfig-new.md): new: Create a new VideoConfig
- [seconds • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoConfig-seconds.md): seconds: Set the duration
- [size • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VideoConfig-size.md): size: Set the size
- [analyze • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgent-analyze.md): analyze: Analyze an image with a custom prompt (placeholder)
- [compare • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgent-compare.md): compare: Compare multiple images (placeholder)
- [describe • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgent-describe.md): describe: Describe an image (placeholder)
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgent-name.md): name: Get agent name
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgent-new.md): new: Create a new VisionAgent builder
- [build • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgentBuilder-build.md): build: Build the VisionAgent
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgentBuilder-config.md): config: Set the config
- [model • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgentBuilder-model.md): model: Set the model
- [name • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionAgentBuilder-name.md): name: Set the agent name
- [detail • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionConfig-detail.md): detail: Set detail level
- [Max Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionConfig-max_tokens.md): max_tokens: Set max tokens
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/VisionConfig-new.md): new: Create a new VisionConfig
- [Max Results • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebConfig-max_results.md): max_results: Set max results
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebConfig-new.md): new: Create a new web config
- [No Fetch • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebConfig-no_fetch.md): no_fetch: Disable fetch
- [No Search • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebConfig-no_search.md): no_search: Disable search
- [provider • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebConfig-provider.md): provider: Set search provider
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WebSearchCall-new.md): new: Create a new web search call
- [Add Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WorkflowContext-add_result.md): add_result: Add a step result
- [get • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WorkflowContext-get.md): get: Get a variable
- [Last Result • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WorkflowContext-last_result.md): last_result: Get the last result
- [new • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WorkflowContext-new.md): new: Create a new empty context
- [set • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/WorkflowContext-set.md): set: Set a variable
- [Add Approval Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/add_approval_callback.md): add_approval_callback: Alias for register_approval_callback
- [Add Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/add_display_callback.md): add_display_callback: Alias for register_display_callback
- [Add Error Log • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/add_error_log.md): add_error_log: Add an error log
- [aembed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/aembed.md): aembed: Async embedding function
- [aembedding • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/aembedding.md): aembedding: Async embedding function (alias)
- [aembeddings • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/aembeddings.md): aembeddings: Async embeddings function (batch)
- [Apply Config Defaults • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/apply_config_defaults.md): apply_config_defaults: Apply config defaults to a parameter if not explicitly set
- [Async Display Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/async_display_callbacks.md): async_display_callbacks: Get async display callbacks
- [Build Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/build_context.md): build_context: Build context string from chunks.
- [Callback Count • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/callback_count.md): callback_count: Get the number of registered callbacks for a display type
- [Clean Display Content • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clean_display_content.md): clean_display_content: Clean content for display (truncate if too long)
- [Clean Triple Backticks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clean_triple_backticks.md): clean_triple_backticks: Clean triple backticks from a string (common in LLM outputs) Removes markdown code block markers like  or
- [Clean Whitespace • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clean_whitespace.md): clean_whitespace: Clean and normalize whitespace in a string
- [Cleanup Telemetry Resources • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/cleanup_telemetry_resources.md): cleanup_telemetry_resources: Cleanup telemetry resources
- [Clear All Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clear_all_callbacks.md): clear_all_callbacks: Clear all callbacks
- [Clear Display Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clear_display_callbacks.md): clear_display_callbacks: Clear all callbacks for a display type
- [Clear Error Logs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/clear_error_logs.md): clear_error_logs: Clear error logs
- [Cosine Similarity • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/cosine_similarity.md): cosine_similarity: Calculate cosine similarity between two vectors.
- [Create Context Agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/create_context_agent.md): create_context_agent: Create a context agent with default configuration
- [Create Context Agent With Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/create_context_agent_with_config.md): create_context_agent_with_config: Create a context agent with custom configuration
- [Credit Card Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/credit_card_rule.md): credit_card_rule: Create a rule to block credit card numbers.
- [Deduplicate Chunks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/deduplicate_chunks.md): deduplicate_chunks: Deduplicate chunks by content similarity.
- [Detect Memory Backend • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/detect_memory_backend.md): detect_memory_backend: Detect memory backend from URL
- [Detect URL Scheme • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/detect_url_scheme.md): detect_url_scheme: Detect URL scheme from a string. O(1) operation.
- [Disable Performance Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/disable_performance_mode.md): disable_performance_mode: Disable performance mode
- [Disable Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/disable_plugins.md): disable_plugins: Disable plugins globally
- [Disable Telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/disable_telemetry.md): disable_telemetry: Disable telemetry globally
- [Discover And Load Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/discover_and_load_plugins.md): discover_and_load_plugins: Discover and load plugins from default directories
- [Discover Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/discover_plugins.md): discover_plugins: Discover plugins in a directory
- [Display Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_error.md): display_error: Display an error
- [Display Generating • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_generating.md): display_generating: Display generating/working status
- [Display Instruction • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_instruction.md): display_instruction: Display an instruction
- [Display Interaction • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_interaction.md): display_interaction: Display an agent interaction
- [Display Reasoning Steps • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_reasoning_steps.md): display_reasoning_steps: Display reasoning steps
- [Display Self Reflection • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_self_reflection.md): display_self_reflection: Display self-reflection output
- [Display Tool Call • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_tool_call.md): display_tool_call: Display a tool call
- [Display Working Status • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/display_working_status.md): display_working_status: Display working status with animation frame
- [Email Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/email_rule.md): email_rule: Create a rule to block email addresses.
- [embed • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/embed.md): embed: Synchronous embedding function
- [embedding • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/embedding.md): embedding: Synchronous embedding function (alias)
- [embeddings • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/embeddings.md): embeddings: Synchronous embeddings function (batch)
- [Enable Performance Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/enable_performance_mode.md): enable_performance_mode: Enable performance mode (disables telemetry overhead)
- [Enable Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/enable_plugins.md): enable_plugins: Enable plugins globally
- [Enable Telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/enable_telemetry.md): enable_telemetry: Enable telemetry globally
- [Ensure Plugin Dir • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ensure_plugin_dir.md): ensure_plugin_dir: Ensure plugin directory exists
- [Error Logs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/error_logs.md): error_logs: Get error logs
- [Estimate Messages Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/estimate_messages_tokens.md): estimate_messages_tokens: Estimate tokens for messages.
- [Estimate Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/estimate_tokens.md): estimate_tokens: Estimate token count for text.
- [Estimate Tokens Heuristic • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/estimate_tokens_heuristic.md): estimate_tokens_heuristic: Estimate tokens for a string using heuristic (4 chars ≈ 1 token).
- [Estimate Tool Schema Tokens • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/estimate_tool_schema_tokens.md): estimate_tool_schema_tokens: Estimate tokens for tool schemas.
- [Evaluate Condition • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/evaluate_condition.md): evaluate_condition: Evaluate a condition expression against a context. Convenience function for simple condition evaluation.
- [Execute Async Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/execute_async_callback.md): execute_async_callback: Execute async callback for a display type
- [Execute Async Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/execute_async_callbacks.md): execute_async_callbacks: Execute asynchronous callbacks for a display event
- [Execute Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/execute_callback.md): execute_callback: Execute sync callback for a display type
- [Execute Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/execute_callbacks.md): execute_callbacks: Execute all callbacks (sync and async) for a display event
- [Execute Sync Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/execute_sync_callbacks.md): execute_sync_callbacks: Execute synchronous callbacks for a display event
- [Extract Json • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/extract_json.md): extract_json: Extract JSON from a string that may contain markdown code blocks
- [Format Skill For Prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/format_skill_for_prompt.md): format_skill_for_prompt: Format a single skill for prompt.
- [Generate Skills Xml • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/generate_skills_xml.md): generate_skills_xml: Generate skills XML for prompt.
- [Get Collector • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_collector.md): get_collector: Get the global telemetry collector.
- [Get Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_config.md): get_config: Get the global configuration Loads config lazily on first access and caches it.
- [Get Config Path • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_config_path.md): get_config_path: Get config path if it exists
- [Get Default • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_default.md): get_default: Get a specific default value Supports nested keys like 'memory.backend'
- [Get Default Plugin Dirs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_default_plugin_dirs.md): get_default_plugin_dirs: Get default plugin directories
- [Get Defaults Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_defaults_config.md): get_defaults_config: Get defaults configuration
- [Get Dimensions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_dimensions.md): get_dimensions: Get embedding dimensions for a model.
- [Get Enabled Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_enabled_plugins.md): get_enabled_plugins: Get list of enabled plugins (if specific list provided)
- [Get Error Logs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_error_logs.md): get_error_logs: Get all error logs
- [Get Event Bus • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_event_bus.md): get_event_bus: Get the global event bus
- [Get Model Context Window • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_model_context_window.md): get_model_context_window: Get model context window size.
- [Get Model Limit • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_model_limit.md): get_model_limit: Get context limit for a model.
- [Get Monitor • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_monitor.md): get_monitor: Get the global performance monitor.
- [Get Output Reserve • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_output_reserve.md): get_output_reserve: Get recommended output reserve for a model.
- [Get Performance Report • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_performance_report.md): get_performance_report: Get the global performance report.
- [Get Plugin Manager • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_plugin_manager.md): get_plugin_manager: Get the global plugin manager
- [Get Plugin Template • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_plugin_template.md): get_plugin_template: Get plugin template content
- [Get Plugins Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_plugins_config.md): get_plugins_config: Get plugins configuration
- [Get Telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/get_telemetry.md): get_telemetry: Get the global telemetry instance
- [handoff • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/handoff.md): handoff: Create a handoff to another agent # Arguments * `target` - Name of the target agent * `message` - Optional handoff message
- [Handoff Filters • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/handoff_filters.md): handoff_filters: Create handoff filters
- [Has Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/has_callbacks.md): has_callbacks: Check if callbacks are registered for a display type
- [Is Numeric String • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_numeric_string.md): is_numeric_string: Check if a string is numeric. O(1) operation.
- [Is Path Like • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_path_like.md): is_path_like: Check if a string looks like a file path. O(1) operation.
- [Is Performance Mode • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_performance_mode.md): is_performance_mode: Check if performance mode is enabled
- [Is Plugin Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_plugin_enabled.md): is_plugin_enabled: Check if a plugin is enabled
- [Is Plugins Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_plugins_enabled.md): is_plugins_enabled: Check if plugins are enabled via config or env var
- [Is Policy String • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_policy_string.md): is_policy_string: Check if a string is a policy specification. O(1) operation. Policy strings have format: type:action (e.g., 'policy:strict', 'pii:redact')
- [Is Read Only Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_read_only_tool.md): is_read_only_tool: Check if a tool is read-only.
- [Is Research Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_research_tool.md): is_research_tool: Check if a tool is a research tool.
- [Is Restricted Tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_restricted_tool.md): is_restricted_tool: Check if a tool is restricted.
- [Is Telemetry Enabled • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/is_telemetry_enabled.md): is_telemetry_enabled: Check if telemetry is enabled globally
- [List Plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/list_plugins.md): list_plugins: List all plugins
- [Load Plugin • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/load_plugin.md): load_plugin: Load a plugin from a path
- [Log Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/log_error.md): log_error: Log an error (convenience function)
- [Loop Step • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/loop_step.md): loop_step: Create a loop workflow step Creates a loop step with an agent and items to iterate over. # Arguments * `agent` - The agent to execute for each item *...
- [Make Array Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/make_array_error.md): make_array_error: Create a helpful error message for invalid array format
- [Make Preset Error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/make_preset_error.md): make_preset_error: Create a helpful error message for invalid preset
- [parallel • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/parallel.md): parallel: Create a parallel workflow step Executes multiple agents concurrently. # Arguments * `agents` - List of agents to execute in parallel
- [Parse Plugin Header • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/parse_plugin_header.md): parse_plugin_header: Parse plugin header from string content Extracts metadata from a plugin file's header comments.
- [Parse Plugin Header From File • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/parse_plugin_header_from_file.md): parse_plugin_header_from_file: Parse plugin header from file
- [Parse Policy String • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/parse_policy_string.md): parse_policy_string: Parse a policy string into type and action. O(1) operation.
- [Phone Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/phone_rule.md): phone_rule: Create a rule to block phone numbers.
- [Profanity Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/profanity_rule.md): profanity_rule: Create a rule to block profanity.
- [Prompt With Handoff Instructions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/prompt_with_handoff_instructions.md): prompt_with_handoff_instructions: Generate a prompt with handoff instructions Creates a system prompt that includes instructions for handing off to other agents when appropriate. #...
- [publish • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/publish.md): publish: Publish an event to the global bus
- [Record Event • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/record_event.md): record_event: Record a telemetry event.
- [Register Approval Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/register_approval_callback.md): register_approval_callback: Register the global approval callback
- [Register Async Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/register_async_display_callback.md): register_async_display_callback: Register an asynchronous display callback
- [Register Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/register_display_callback.md): register_display_callback: Register a synchronous display callback
- [Remove Approval Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/remove_approval_callback.md): remove_approval_callback: Remove the approval callback
- [Remove Display Callback • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/remove_display_callback.md): remove_display_callback: Remove a display callback
- [repeat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/repeat.md): repeat: Create a repeat workflow step Executes the agent a fixed number of times. # Arguments * `agent` - The agent to execute * `times` - Number of times to...
- [Request Approval • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/request_approval.md): request_approval: Request approval using the global callback
- [resolve • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve.md): resolve: Resolve a parameter value following precedence rules Precedence: Instance  Config  Array  Dict  String  Bool  Default
- [Resolve Autonomy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_autonomy.md): resolve_autonomy: Resolve autonomy parameter
- [Resolve Autonomy Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_autonomy_preset.md): resolve_autonomy_preset: Resolve an autonomy preset by name
- [Resolve Caching • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_caching.md): resolve_caching: Resolve caching parameter
- [Resolve Caching Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_caching_preset.md): resolve_caching_preset: Resolve a caching preset by name
- [Resolve Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_context.md): resolve_context: Resolve context parameter
- [Resolve Context Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_context_preset.md): resolve_context_preset: Resolve a context preset by name
- [Resolve Execution • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_execution.md): resolve_execution: Resolve execution parameter
- [Resolve Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_execution_preset.md): resolve_execution_preset: Resolve an execution preset by name
- [Resolve Guardrail Policies • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_guardrail_policies.md): resolve_guardrail_policies: Resolve guardrail policies
- [Resolve Guardrail Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_guardrail_preset.md): resolve_guardrail_preset: Resolve a guardrail preset by name
- [Resolve Guardrails • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_guardrails.md): resolve_guardrails: Resolve guardrails parameter
- [Resolve Hooks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_hooks.md): resolve_hooks: Resolve hooks parameter
- [Resolve Knowledge • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_knowledge.md): resolve_knowledge: Resolve knowledge parameter
- [Resolve Knowledge Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_knowledge_preset.md): resolve_knowledge_preset: Resolve a knowledge preset by name
- [Resolve Memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_memory.md): resolve_memory: Resolve memory parameter
- [Resolve Memory Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_memory_preset.md): resolve_memory_preset: Resolve a memory preset by name
- [Resolve Multi Agent Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_multi_agent_execution_preset.md): resolve_multi_agent_execution_preset: Resolve a multi-agent execution preset by name
- [Resolve Multi Agent Output Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_multi_agent_output_preset.md): resolve_multi_agent_output_preset: Resolve a multi-agent output preset by name
- [Resolve Output • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_output.md): resolve_output: Resolve output parameter
- [Resolve Output Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_output_preset.md): resolve_output_preset: Resolve an output preset by name
- [Resolve Planning • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_planning.md): resolve_planning: Resolve planning parameter
- [Resolve Planning Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_planning_preset.md): resolve_planning_preset: Resolve a planning preset by name
- [Resolve Reflection • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_reflection.md): resolve_reflection: Resolve reflection parameter
- [Resolve Reflection Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_reflection_preset.md): resolve_reflection_preset: Resolve a reflection preset by name
- [Resolve Routing • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_routing.md): resolve_routing: Resolve routing parameter
- [Resolve Skills • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_skills.md): resolve_skills: Resolve skills parameter
- [Resolve Web • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_web.md): resolve_web: Resolve web parameter
- [Resolve Web Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_web_preset.md): resolve_web_preset: Resolve a web preset by name
- [Resolve Workflow Step Execution Preset • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/resolve_workflow_step_execution_preset.md): resolve_workflow_step_execution_preset: Resolve a workflow step execution preset by name
- [route • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/route.md): route: Create a route workflow step Conditionally routes to different agents based on a condition. # Arguments * `condition` - Function that returns...
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/run.md): run: Run a workflow from a YAML file
- [Ssn Rule • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/ssn_rule.md): ssn_rule: Create a rule to block PII (Social Security Numbers).
- [subscribe • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/subscribe.md): subscribe: Subscribe to events on the global bus
- [Subscribe All • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/subscribe_all.md): subscribe_all: Subscribe to all events on the global bus
- [Suggest Similar • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/suggest_similar.md): suggest_similar: Find the most similar string from candidates using Levenshtein distance. This function is ONLY called on error paths, never on happy paths.
- [Sync Display Callbacks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/sync_display_callbacks.md): sync_display_callbacks: Get sync display callbacks
- [tool • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/tool.md): tool: The `#[tool]` attribute macro for defining tools. This macro transforms a function into a tool that can be used by agents. # Attributes -...
- [Trace Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/trace_context.md): trace_context: Get or create trace context
- [Track API • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/track_api.md): track_api: Track an API call on the global monitor.
- [Track Function • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/track_function.md): track_function: Track a function call on the global monitor.
- [Track Workflow • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/track_workflow.md): track_workflow: Track workflow execution
- [Truncate Context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/truncate_context.md): truncate_context: Truncate context to fit token limit.
- [Validate Config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/validate_config.md): validate_config: Validate config structure and types
- [Validate Keys • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/validate_keys.md): validate_keys: Validate that all keys in a set are valid
- [when • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/functions/when.md): when: Alias for route (matches Python SDK naming) Creates a conditional routing step.
- [agent • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/agent.md): Agent module for PraisonAI
- [agents • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/agents.md): Specialized Agents Module
- [bots • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/bots.md): Bots Module for PraisonAI Rust SDK
- [builder • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/builder.md): Agent builder pattern implementation
- [bus • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/bus.md): Event Bus Module for PraisonAI Agents.
- [chat • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/chat.md): Interactive chat command
- [commands • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/commands.md): CLI command implementations
- [conditions • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/conditions.md): Conditions Module for PraisonAI Rust SDK
- [config • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/config.md): Configuration types for PraisonAI
- [Config Loader • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/config_loader.md): Configuration Loader
- [context • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/context.md): Context Management Module for PraisonAI Agents.
- [display • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/display.md): Display and callback system for PraisonAI
- [Display Types • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/display_types.md): Display and Callback Types
- [embedding • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/embedding.md): Embedding Module for PraisonAI Rust SDK
- [error • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/error.md): Error types for PraisonAI Core
- [eval • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/eval.md): Evaluation Module for PraisonAI Rust SDK.
- [extras • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/extras.md): Extra parity types and functions
- [failover • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/failover.md): Model Failover Module for PraisonAI Rust SDK
- [gateway • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/gateway.md): Gateway Module for PraisonAI Rust SDK
- [guardrails • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/guardrails.md): Guardrails Module
- [handoff • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/handoff.md): Handoff functionality for agent-to-agent delegation.
- [hooks • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/hooks.md): Hooks Module for PraisonAI Rust SDK.
- [knowledge • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/knowledge.md): Knowledge System Module
- [LLM • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/llm.md): LLM Provider abstraction for PraisonAI
- [main • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/main.md): PraisonAI CLI - Command-line interface for PraisonAI
- [MCP • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/mcp.md): MCP (Model Context Protocol) Integration Module
- [memory • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/memory.md): Memory system for PraisonAI
- [Param Resolver • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/param_resolver.md): Parameter Resolver
- [parity • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/parity.md): Parity Module - Implements all missing Python SDK features
- [Parse Utils • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/parse_utils.md): Parse Utilities
- [planning • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/planning.md): Planning Module for PraisonAI Rust SDK.
- [plugins • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/plugins.md): Plugin Module for PraisonAI Agents.
- [policy • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/policy.md): Policy Module for PraisonAI Rust SDK.
- [praisonai • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/praisonai.md): PraisonAI Core - High-performance, agentic AI framework for Rust
- [Praisonai Derive • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/praisonai_derive.md): Procedural macros for PraisonAI
- [presets • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/presets.md): Preset configurations for PraisonAI
- [prompt • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/prompt.md): Single-shot prompt command
- [protocols • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/protocols.md): Protocol System Module
- [RAG • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/rag.md): RAG (Retrieval Augmented Generation) Module
- [run • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/run.md): Run workflow from YAML file
- [sandbox • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/sandbox.md): Sandbox Module for PraisonAI Rust SDK
- [session • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/session.md): Session persistence module for PraisonAI Rust SDK.
- [skills • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/skills.md): Skills Module for PraisonAI Rust SDK.
- [specialized • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/specialized.md): Specialized Agent Types
- [Specialized Agents • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/specialized_agents.md): Specialized agents for PraisonAI
- [streaming • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/streaming.md): Streaming Module
- [task • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/task.md): Task module for PraisonAI Rust SDK.
- [telemetry • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/telemetry.md): Telemetry Module for PraisonAI Rust SDK.
- [Telemetry Funcs • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/telemetry_funcs.md): Telemetry Functions
- [thinking • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/thinking.md): Thinking Budget Module for PraisonAI Rust SDK.
- [tools • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/tools.md): Tool system for PraisonAI
- [trace • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/trace.md): Trace Module for PraisonAI Rust SDK.
- [ui • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/ui.md): UI Protocols - A2A and AGUI implementations
- [Workflow Aliases • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/workflow_aliases.md): Workflow Pattern Aliases
- [workflows • Rust AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/rust/modules/workflows.md): Workflow system for PraisonAI
- [A2 A • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2A.md): A2A: TypeScript A2A class
- [A2 A Agent Capabilities • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AAgentCapabilities.md): A2AAgentCapabilities: TypeScript A2AAgentCapabilities class
- [A2 A Agent Card • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AAgentCard.md): A2AAgentCard: TypeScript A2AAgentCard class
- [A2 A Agent Skill • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AAgentSkill.md): A2AAgentSkill: TypeScript A2AAgentSkill class
- [A2 A Artifact • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AArtifact.md): A2AArtifact: TypeScript A2AArtifact class
- [A2 A Data Part • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2ADataPart.md): A2ADataPart: TypeScript A2ADataPart class
- [A2 A File Part • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AFilePart.md): A2AFilePart: TypeScript A2AFilePart class
- [A2 A Message • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2AMessage.md): A2AMessage: TypeScript A2AMessage class
- [A2 A Send Message Request • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2ASendMessageRequest.md): A2ASendMessageRequest: TypeScript A2ASendMessageRequest class
- [A2 A Task • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2ATask.md): A2ATask: TypeScript A2ATask class
- [A2 A Task Status • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2ATaskStatus.md): A2ATaskStatus: TypeScript A2ATaskStatus class
- [A2 A Text Part • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/A2ATextPart.md): A2ATextPart: TypeScript A2ATextPart class
- [A GUI • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AGUI.md): AGUI: TypeScript AGUI class
- [Accuracy Eval Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AccuracyEvalConfig.md): AccuracyEvalConfig: TypeScript AccuracyEvalConfig class
- [Agent Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentConfig.md): AgentConfig: TypeScript AgentConfig class
- [Agent Event Bus • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentEventBus.md): AgentEventBus: TypeScript AgentEventBus class
- [Agent Flow • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentFlow.md): AgentFlow: TypeScript AgentFlow class
- [Agent Plugin Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentPluginProtocol.md): AgentPluginProtocol: TypeScript AgentPluginProtocol class
- [Agent Stats • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentStats.md): AgentStats: TypeScript AgentStats class
- [Agent Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AgentTelemetry.md): AgentTelemetry: TypeScript AgentTelemetry class
- [Approval Callback • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ApprovalCallback.md): ApprovalCallback: TypeScript ApprovalCallback class
- [Approval Callback Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ApprovalCallbackConfig.md): ApprovalCallbackConfig: TypeScript ApprovalCallbackConfig class
- [Audio Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AudioConfig.md): AudioConfig: TypeScript AudioConfig class
- [Auth Profile • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AuthProfile.md): AuthProfile: TypeScript AuthProfile class
- [Auto Agents • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AutoAgents.md): AutoAgents: TypeScript AutoAgents class
- [Auto Agents Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AutoAgentsConfig.md): AutoAgentsConfig: TypeScript AutoAgentsConfig class
- [Auto RAG Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AutoRagAgent.md): AutoRagAgent: TypeScript AutoRagAgent class
- [Auto RAG Agent Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AutoRagAgentConfig.md): AutoRagAgentConfig: TypeScript AutoRagAgentConfig class
- [Auto RAG Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/AutoRagConfig.md): AutoRagConfig: TypeScript AutoRagConfig class
- [Base Knowledge Base • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BaseKnowledgeBase.md): BaseKnowledgeBase: TypeScript BaseKnowledgeBase class
- [Base LLM • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BaseLLM.md): BaseLLM: TypeScript BaseLLM class
- [Base Memory Store • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BaseMemoryStore.md): BaseMemoryStore: TypeScript BaseMemoryStore class
- [Base Process • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BaseProcess.md): BaseProcess: TypeScript BaseProcess class
- [Base Task • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BaseTask.md): BaseTask: TypeScript BaseTask class
- [Batch Embedding Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BatchEmbeddingResult.md): BatchEmbeddingResult: TypeScript BatchEmbeddingResult class
- [Bot Channel • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BotChannel.md): BotChannel: TypeScript BotChannel class
- [Bot Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BotConfig.md): BotConfig: TypeScript BotConfig class
- [Bot Message • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BotMessage.md): BotMessage: TypeScript BotMessage class
- [Bot Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BotProtocol.md): BotProtocol: TypeScript BotProtocol class
- [Bot User • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/BotUser.md): BotUser: TypeScript BotUser class
- [Cache Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CacheConfig.md): CacheConfig: TypeScript CacheConfig class
- [Cache Entry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CacheEntry.md): CacheEntry: TypeScript CacheEntry class
- [Caching Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CachingConfig.md): CachingConfig: TypeScript CachingConfig class
- [Chunking • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Chunking.md): Chunking: TypeScript Chunking class
- [Code Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CodeAgent.md): CodeAgent: TypeScript CodeAgent class
- [Code Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CodeConfig.md): CodeConfig: TypeScript CodeConfig class
- [Code Execution Step • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/CodeExecutionStep.md): CodeExecutionStep: TypeScript CodeExecutionStep class
- [Condition Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ConditionProtocol.md): ConditionProtocol: TypeScript ConditionProtocol class
- [Config Validation Error • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ConfigValidationError.md): ConfigValidationError: TypeScript ConfigValidationError class
- [Context Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextConfig.md): ContextConfig: TypeScript ContextConfig class
- [Context Event • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextEvent.md): ContextEvent: TypeScript ContextEvent class
- [Context List Sink • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextListSink.md): ContextListSink: TypeScript ContextListSink class
- [Context Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextManager.md): ContextManager: TypeScript ContextManager class
- [Context No Op Sink • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextNoOpSink.md): ContextNoOpSink: TypeScript ContextNoOpSink class
- [Context Pack • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextPack.md): ContextPack: TypeScript ContextPack class
- [Context Trace Emitter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextTraceEmitter.md): ContextTraceEmitter: TypeScript ContextTraceEmitter class
- [Context Trace Sink • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextTraceSink.md): ContextTraceSink: TypeScript ContextTraceSink class
- [Context Trace Sink Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ContextTraceSinkProtocol.md): ContextTraceSinkProtocol: TypeScript ContextTraceSinkProtocol class
- [Deep Research Response • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/DeepResearchResponse.md): DeepResearchResponse: TypeScript DeepResearchResponse class
- [Defaults Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/DefaultsConfig.md): DefaultsConfig: TypeScript DefaultsConfig class
- [Dict Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/DictCondition.md): DictCondition: TypeScript DictCondition class
- [Display Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/DisplayContext.md): DisplayContext: TypeScript DisplayContext class
- [Embedding Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EmbeddingAgent.md): EmbeddingAgent: TypeScript EmbeddingAgent class
- [Embedding Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EmbeddingConfig.md): EmbeddingConfig: TypeScript EmbeddingConfig class
- [Embedding Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EmbeddingResult.md): EmbeddingResult: TypeScript EmbeddingResult class
- [Eval Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EvalResult.md): EvalResult: TypeScript EvalResult class
- [Eval Suite • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EvalSuite.md): EvalSuite: TypeScript EvalSuite class
- [Event • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Event.md): Event: TypeScript Event class
- [Event Emitter Pub Sub • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/EventEmitterPubSub.md): EventEmitterPubSub: TypeScript EventEmitterPubSub class
- [Execution Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ExecutionConfig.md): ExecutionConfig: TypeScript ExecutionConfig class
- [Expression Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ExpressionCondition.md): ExpressionCondition: TypeScript ExpressionCondition class
- [Failover Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FailoverConfig.md): FailoverConfig: TypeScript FailoverConfig class
- [Failover Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FailoverManager.md): FailoverManager: TypeScript FailoverManager class
- [Fast Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FastContext.md): FastContext: TypeScript FastContext class
- [File Cache • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FileCache.md): FileCache: TypeScript FileCache class
- [File Search Call • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FileSearchCall.md): FileSearchCall: TypeScript FileSearchCall class
- [Flow Display • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FlowDisplay.md): FlowDisplay: TypeScript FlowDisplay class
- [Flow Display Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FlowDisplayConfig.md): FlowDisplayConfig: TypeScript FlowDisplayConfig class
- [Function Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FunctionCondition.md): FunctionCondition: TypeScript FunctionCondition class
- [Function Plugin • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/FunctionPlugin.md): FunctionPlugin: TypeScript FunctionPlugin class
- [Gateway Client Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewayClientProtocol.md): GatewayClientProtocol: TypeScript GatewayClientProtocol class
- [Gateway Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewayConfig.md): GatewayConfig: TypeScript GatewayConfig class
- [Gateway Event • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewayEvent.md): GatewayEvent: TypeScript GatewayEvent class
- [Gateway Message • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewayMessage.md): GatewayMessage: TypeScript GatewayMessage class
- [Gateway Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewayProtocol.md): GatewayProtocol: TypeScript GatewayProtocol class
- [Gateway Session Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GatewaySessionProtocol.md): GatewaySessionProtocol: TypeScript GatewaySessionProtocol class
- [Guardrail • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Guardrail.md): Guardrail: TypeScript Guardrail class
- [Guardrail Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailConfig.md): GuardrailConfig: TypeScript GuardrailConfig class
- [Guardrail Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailContext.md): GuardrailContext: TypeScript GuardrailContext class
- [Guardrail Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailManager.md): GuardrailManager: TypeScript GuardrailManager class
- [Guardrail Policy • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailPolicy.md): GuardrailPolicy: TypeScript GuardrailPolicy class
- [Guardrail Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailResult.md): GuardrailResult: TypeScript GuardrailResult class
- [Guardrail Validation Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/GuardrailValidationResult.md): GuardrailValidationResult: TypeScript GuardrailValidationResult class
- [Hook Plugin Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/HookPluginProtocol.md): HookPluginProtocol: TypeScript HookPluginProtocol class
- [Hooks Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/HooksConfig.md): HooksConfig: TypeScript HooksConfig class
- [If • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/If.md): If: TypeScript If class
- [If Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/IfConfig.md): IfConfig: TypeScript IfConfig class
- [Knowledge • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Knowledge.md): Knowledge: TypeScript Knowledge class
- [Knowledge Base • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/KnowledgeBase.md): KnowledgeBase: TypeScript KnowledgeBase class
- [Knowledge Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/KnowledgeConfig.md): KnowledgeConfig: TypeScript KnowledgeConfig class
- [LLM • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LLM.md): LLM: TypeScript LLM class
- [LLM Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LLMConfig.md): LLMConfig: TypeScript LLMConfig class
- [LLM Plugin Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LLMPluginProtocol.md): LLMPluginProtocol: TypeScript LLMPluginProtocol class
- [LLM Response • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LLMResponse.md): LLMResponse: TypeScript LLMResponse class
- [Learn Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LearnConfig.md): LearnConfig: TypeScript LearnConfig class
- [Line Range • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/LineRange.md): LineRange: TypeScript LineRange class
- [Loop • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Loop.md): Loop: TypeScript Loop class
- [MCP • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCP.md): MCP: TypeScript MCP class
- [MCP Call • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPCall.md): MCPCall: TypeScript MCPCall class
- [MCP Client • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPClient.md): MCPClient: TypeScript MCPClient class
- [MCP Client Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPClientConfig.md): MCPClientConfig: TypeScript MCPClientConfig class
- [MCP Prompt • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPPrompt.md): MCPPrompt: TypeScript MCPPrompt class
- [MCP Resource • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPResource.md): MCPResource: TypeScript MCPResource class
- [MCP Session • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPSession.md): MCPSession: TypeScript MCPSession class
- [MCP Tool • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPTool.md): MCPTool: TypeScript MCPTool class
- [MCP Tool Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MCPToolResult.md): MCPToolResult: TypeScript MCPToolResult class
- [Manager Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ManagerConfig.md): ManagerConfig: TypeScript ManagerConfig class
- [Memory • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Memory.md): Memory: TypeScript Memory class
- [Memory Cache • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MemoryCache.md): MemoryCache: TypeScript MemoryCache class
- [Memory Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MemoryConfig.md): MemoryConfig: TypeScript MemoryConfig class
- [Memory Store • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MemoryStore.md): MemoryStore: TypeScript MemoryStore class
- [Message • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Message.md): Message: TypeScript Message class
- [Minimal Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MinimalTelemetry.md): MinimalTelemetry: TypeScript MinimalTelemetry class
- [Multi Agent Execution Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MultiAgentExecutionConfig.md): MultiAgentExecutionConfig: TypeScript MultiAgentExecutionConfig class
- [Multi Agent Hooks Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MultiAgentHooksConfig.md): MultiAgentHooksConfig: TypeScript MultiAgentHooksConfig class
- [Multi Agent Memory Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MultiAgentMemoryConfig.md): MultiAgentMemoryConfig: TypeScript MultiAgentMemoryConfig class
- [Multi Agent Output Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MultiAgentOutputConfig.md): MultiAgentOutputConfig: TypeScript MultiAgentOutputConfig class
- [Multi Agent Planning Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/MultiAgentPlanningConfig.md): MultiAgentPlanningConfig: TypeScript MultiAgentPlanningConfig class
- [O C R Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/OCRAgent.md): OCRAgent: TypeScript OCRAgent class
- [O C R Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/OCRConfig.md): OCRConfig: TypeScript OCRConfig class
- [Output Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/OutputConfig.md): OutputConfig: TypeScript OutputConfig class
- [Parallel • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Parallel.md): Parallel: TypeScript Parallel class
- [Parsed Args • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ParsedArgs.md): ParsedArgs: TypeScript ParsedArgs class
- [Performance Eval Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PerformanceEvalConfig.md): PerformanceEvalConfig: TypeScript PerformanceEvalConfig class
- [Performance Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PerformanceResult.md): PerformanceResult: TypeScript PerformanceResult class
- [Plan • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Plan.md): Plan: TypeScript Plan class
- [Plan Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanConfig.md): PlanConfig: TypeScript PlanConfig class
- [Plan Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanResult.md): PlanResult: TypeScript PlanResult class
- [Plan Step • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanStep.md): PlanStep: TypeScript PlanStep class
- [Plan Step Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanStepConfig.md): PlanStepConfig: TypeScript PlanStepConfig class
- [Plan Storage • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanStorage.md): PlanStorage: TypeScript PlanStorage class
- [Planning Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanningAgent.md): PlanningAgent: TypeScript PlanningAgent class
- [Planning Agent Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanningAgentConfig.md): PlanningAgentConfig: TypeScript PlanningAgentConfig class
- [Planning Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PlanningConfig.md): PlanningConfig: TypeScript PlanningConfig class
- [Plugin • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Plugin.md): Plugin: TypeScript Plugin class
- [Plugin Hook • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginHook.md): PluginHook: TypeScript PluginHook class
- [Plugin Info • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginInfo.md): PluginInfo: TypeScript PluginInfo class
- [Plugin Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginManager.md): PluginManager: TypeScript PluginManager class
- [Plugin Metadata • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginMetadata.md): PluginMetadata: TypeScript PluginMetadata class
- [Plugin Parse Error • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginParseError.md): PluginParseError: TypeScript PluginParseError class
- [Plugin Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginProtocol.md): PluginProtocol: TypeScript PluginProtocol class
- [Plugins Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PluginsConfig.md): PluginsConfig: TypeScript PluginsConfig class
- [Praison Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/PraisonConfig.md): PraisonConfig: TypeScript PraisonConfig class
- [Process • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Process.md): Process: TypeScript Process class
- [Process Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ProcessConfig.md): ProcessConfig: TypeScript ProcessConfig class
- [Provider Status • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ProviderStatus.md): ProviderStatus: TypeScript ProviderStatus class
- [RAG • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/RAG.md): RAG: TypeScript RAG class
- [Realtime Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/RealtimeAgent.md): RealtimeAgent: TypeScript RealtimeAgent class
- [Realtime Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/RealtimeConfig.md): RealtimeConfig: TypeScript RealtimeConfig class
- [Reflection Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ReflectionConfig.md): ReflectionConfig: TypeScript ReflectionConfig class
- [Reflection Output • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ReflectionOutput.md): ReflectionOutput: TypeScript ReflectionOutput class
- [Reliability Eval Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ReliabilityEvalConfig.md): ReliabilityEvalConfig: TypeScript ReliabilityEvalConfig class
- [Resource Limits • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ResourceLimits.md): ResourceLimits: TypeScript ResourceLimits class
- [Route • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Route.md): Route: TypeScript Route class
- [Routing Condition Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/RoutingConditionProtocol.md): RoutingConditionProtocol: TypeScript RoutingConditionProtocol class
- [Run • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Run.md): Run: TypeScript Run class
- [Run Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/RunConfig.md): RunConfig: TypeScript RunConfig class
- [Sandbox Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SandboxProtocol.md): SandboxProtocol: TypeScript SandboxProtocol class
- [Sandbox Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SandboxResult.md): SandboxResult: TypeScript SandboxResult class
- [Session • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Session.md): Session: TypeScript Session class
- [Session Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SessionConfig.md): SessionConfig: TypeScript SessionConfig class
- [Session Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SessionManager.md): SessionManager: TypeScript SessionManager class
- [Skill • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Skill.md): Skill: TypeScript Skill class
- [Skill Discovery Options • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillDiscoveryOptions.md): SkillDiscoveryOptions: TypeScript SkillDiscoveryOptions class
- [Skill Loader • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillLoader.md): SkillLoader: TypeScript SkillLoader class
- [Skill Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillManager.md): SkillManager: TypeScript SkillManager class
- [Skill Metadata • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillMetadata.md): SkillMetadata: TypeScript SkillMetadata class
- [Skill Properties • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillProperties.md): SkillProperties: TypeScript SkillProperties class
- [Skills Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/SkillsConfig.md): SkillsConfig: TypeScript SkillsConfig class
- [Step Context Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/StepContextConfig.md): StepContextConfig: TypeScript StepContextConfig class
- [Step Execution Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/StepExecutionConfig.md): StepExecutionConfig: TypeScript StepExecutionConfig class
- [Step Output Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/StepOutputConfig.md): StepOutputConfig: TypeScript StepOutputConfig class
- [Step Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/StepResult.md): StepResult: TypeScript StepResult class
- [Step Routing Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/StepRoutingConfig.md): StepRoutingConfig: TypeScript StepRoutingConfig class
- [Task • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Task.md): Task: TypeScript Task class
- [Task Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TaskAgent.md): TaskAgent: TypeScript TaskAgent class
- [Task Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TaskConfig.md): TaskConfig: TypeScript TaskConfig class
- [Task Output • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TaskOutput.md): TaskOutput: TypeScript TaskOutput class
- [Team Structure • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TeamStructure.md): TeamStructure: TypeScript TeamStructure class
- [Telemetry Collector • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TelemetryCollector.md): TelemetryCollector: TypeScript TelemetryCollector class
- [Telemetry Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TelemetryConfig.md): TelemetryConfig: TypeScript TelemetryConfig class
- [Telemetry Event • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TelemetryEvent.md): TelemetryEvent: TypeScript TelemetryEvent class
- [Template Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TemplateConfig.md): TemplateConfig: TypeScript TemplateConfig class
- [Todo Item • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TodoItem.md): TodoItem: TypeScript TodoItem class
- [Todo Item Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TodoItemConfig.md): TodoItemConfig: TypeScript TodoItemConfig class
- [Todo List • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TodoList.md): TodoList: TypeScript TodoList class
- [Tool Definition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ToolDefinition.md): ToolDefinition: TypeScript ToolDefinition class
- [Tool Plugin Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/ToolPluginProtocol.md): ToolPluginProtocol: TypeScript ToolPluginProtocol class
- [Tools • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Tools.md): Tools: TypeScript Tools class
- [Trace • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/Trace.md): Trace: TypeScript Trace class
- [Trace Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TraceConfig.md): TraceConfig: TypeScript TraceConfig class
- [Trace Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TraceContext.md): TraceContext: TypeScript TraceContext class
- [Trace Sink • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TraceSink.md): TraceSink: TypeScript TraceSink class
- [Trace Sink Protocol • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/TraceSinkProtocol.md): TraceSinkProtocol: TypeScript TraceSinkProtocol class
- [Video Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/VideoAgent.md): VideoAgent: TypeScript VideoAgent class
- [Video Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/VideoConfig.md): VideoConfig: TypeScript VideoConfig class
- [Vision Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/VisionAgent.md): VisionAgent: TypeScript VisionAgent class
- [Vision Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/VisionConfig.md): VisionConfig: TypeScript VisionConfig class
- [Web Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/WebConfig.md): WebConfig: TypeScript WebConfig class
- [Web Search Call • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/WebSearchCall.md): WebSearchCall: TypeScript WebSearchCall class
- [When Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/WhenConfig.md): WhenConfig: TypeScript WhenConfig class
- [Workflow Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/classes/WorkflowContext.md): WorkflowContext: TypeScript WorkflowContext class
- [accuracy Eval • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/accuracyEval.md): accuracyEval: API reference for accuracyEval
- [aembed • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/aembed.md): aembed: API reference for aembed
- [aembedding • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/aembedding.md): aembedding: API reference for aembedding
- [aembeddings • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/aembeddings.md): aembeddings: API reference for aembeddings
- [and Conditions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/andConditions.md): andConditions: API reference for andConditions
- [async Display Callbacks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/asyncDisplayCallbacks.md): asyncDisplayCallbacks: API reference for asyncDisplayCallbacks
- [Async Display Callbacks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/async_display_callbacks.md): async_display_callbacks: API reference for async_display_callbacks
- [Clean Triple Backticks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/clean_triple_backticks.md): clean_triple_backticks: API reference for clean_triple_backticks
- [cleanup Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/cleanupTelemetry.md): cleanupTelemetry: API reference for cleanupTelemetry
- [cleanup Telemetry Resources • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/cleanupTelemetryResources.md): cleanupTelemetryResources: API reference for cleanupTelemetryResources
- [clear Display Callbacks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/clearDisplayCallbacks.md): clearDisplayCallbacks: API reference for clearDisplayCallbacks
- [clear Error Logs • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/clearErrorLogs.md): clearErrorLogs: API reference for clearErrorLogs
- [cosine Similarity • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/cosineSimilarity.md): cosineSimilarity: API reference for cosineSimilarity
- [create Agent Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createAgentTelemetry.md): createAgentTelemetry: API reference for createAgentTelemetry
- [create Approval Callback • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createApprovalCallback.md): createApprovalCallback: API reference for createApprovalCallback
- [create Auto Agents • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createAutoAgents.md): createAutoAgents: API reference for createAutoAgents
- [create Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createCondition.md): createCondition: API reference for createCondition
- [create Context Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createContextAgent.md): createContextAgent: API reference for createContextAgent
- [create Context Event • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createContextEvent.md): createContextEvent: API reference for createContextEvent
- [create DB Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createDbAdapter.md): createDbAdapter: API reference for createDbAdapter
- [create Event Bus • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createEventBus.md): createEventBus: API reference for createEventBus
- [create File Cache • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createFileCache.md): createFileCache: API reference for createFileCache
- [create Guardrail Validation Result • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createGuardrailValidationResult.md): createGuardrailValidationResult: API reference for createGuardrailValidationResult
- [create MCP Client • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createMCPClient.md): createMCPClient: API reference for createMCPClient
- [create Memory Cache • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createMemoryCache.md): createMemoryCache: API reference for createMemoryCache
- [create Plan • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createPlan.md): createPlan: API reference for createPlan
- [create Plan Storage • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createPlanStorage.md): createPlanStorage: API reference for createPlanStorage
- [create Planning Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createPlanningAgent.md): createPlanningAgent: API reference for createPlanningAgent
- [create Pub Sub • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createPubSub.md): createPubSub: API reference for createPubSub
- [create RAG • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createRAG.md): createRAG: API reference for createRAG
- [create Skill Loader • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createSkillLoader.md): createSkillLoader: API reference for createSkillLoader
- [create Skill Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createSkillManager.md): createSkillManager: API reference for createSkillManager
- [create Skill Properties • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createSkillProperties.md): createSkillProperties: API reference for createSkillProperties
- [create Task Agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createTaskAgent.md): createTaskAgent: API reference for createTaskAgent
- [create Task Output • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createTaskOutput.md): createTaskOutput: API reference for createTaskOutput
- [create Todo List • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/createTodoList.md): createTodoList: API reference for createTodoList
- [DB • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/db.md): db: API reference for db
- [detect URL Scheme • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/detectUrlScheme.md): detectUrlScheme: API reference for detectUrlScheme
- [Detect URL Scheme • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/detect_url_scheme.md): detect_url_scheme: API reference for detect_url_scheme
- [disable • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/disable.md): disable: API reference for disable
- [disable Performance Mode • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/disablePerformanceMode.md): disablePerformanceMode: API reference for disablePerformanceMode
- [disable Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/disableTelemetry.md): disableTelemetry: API reference for disableTelemetry
- [discover And Load Plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/discoverAndLoadPlugins.md): discoverAndLoadPlugins: API reference for discoverAndLoadPlugins
- [discover Plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/discoverPlugins.md): discoverPlugins: API reference for discoverPlugins
- [Discover And Load Plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/discover_and_load_plugins.md): discover_and_load_plugins: API reference for discover_and_load_plugins
- [Discover Plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/discover_plugins.md): discover_plugins: API reference for discover_plugins
- [display Error • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displayError.md): displayError: API reference for displayError
- [display Generating • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displayGenerating.md): displayGenerating: API reference for displayGenerating
- [display Instruction • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displayInstruction.md): displayInstruction: API reference for displayInstruction
- [display Interaction • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displayInteraction.md): displayInteraction: API reference for displayInteraction
- [display Self Reflection • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displaySelfReflection.md): displaySelfReflection: API reference for displaySelfReflection
- [display Tool Call • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/displayToolCall.md): displayToolCall: API reference for displayToolCall
- [Display Error • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_error.md): display_error: API reference for display_error
- [Display Generating • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_generating.md): display_generating: API reference for display_generating
- [Display Instruction • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_instruction.md): display_instruction: API reference for display_instruction
- [Display Interaction • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_interaction.md): display_interaction: API reference for display_interaction
- [Display Self Reflection • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_self_reflection.md): display_self_reflection: API reference for display_self_reflection
- [Display Tool Call • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/display_tool_call.md): display_tool_call: API reference for display_tool_call
- [embed • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/embed.md): embed: API reference for embed
- [embedding • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/embedding.md): embedding: API reference for embedding
- [embeddings • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/embeddings.md): embeddings: API reference for embeddings
- [enable • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/enable.md): enable: API reference for enable
- [enable Performance Mode • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/enablePerformanceMode.md): enablePerformanceMode: API reference for enablePerformanceMode
- [enable Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/enableTelemetry.md): enableTelemetry: API reference for enableTelemetry
- [ensure Plugin Dir • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/ensurePluginDir.md): ensurePluginDir: API reference for ensurePluginDir
- [Ensure Plugin Dir • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/ensure_plugin_dir.md): ensure_plugin_dir: API reference for ensure_plugin_dir
- [error Logs • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/errorLogs.md): errorLogs: API reference for errorLogs
- [Error Logs • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/error_logs.md): error_logs: API reference for error_logs
- [euclidean Distance • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/euclideanDistance.md): euclideanDistance: API reference for euclideanDistance
- [evaluate Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/evaluateCondition.md): evaluateCondition: API reference for evaluateCondition
- [Evaluate Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/evaluate_condition.md): evaluate_condition: API reference for evaluate_condition
- [get Default DB Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getDefaultDbAdapter.md): getDefaultDbAdapter: API reference for getDefaultDbAdapter
- [get Default Plugin Dirs • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getDefaultPluginDirs.md): getDefaultPluginDirs: API reference for getDefaultPluginDirs
- [get Dimensions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getDimensions.md): getDimensions: API reference for getDimensions
- [get MCP Tools • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getMCPTools.md): getMCPTools: API reference for getMCPTools
- [get Minimal Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getMinimalTelemetry.md): getMinimalTelemetry: API reference for getMinimalTelemetry
- [get Observability Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getObservabilityAdapter.md): getObservabilityAdapter: API reference for getObservabilityAdapter
- [get Plugin Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getPluginManager.md): getPluginManager: API reference for getPluginManager
- [get Plugin Template • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getPluginTemplate.md): getPluginTemplate: API reference for getPluginTemplate
- [get Session Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getSessionManager.md): getSessionManager: API reference for getSessionManager
- [get Telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/getTelemetry.md): getTelemetry: API reference for getTelemetry
- [Get Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_config.md): get_config: API reference for get_config
- [Get Config Path • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_config_path.md): get_config_path: API reference for get_config_path
- [Get Default • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_default.md): get_default: API reference for get_default
- [Get Default Plugin Dirs • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_default_plugin_dirs.md): get_default_plugin_dirs: API reference for get_default_plugin_dirs
- [Get Defaults Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_defaults_config.md): get_defaults_config: API reference for get_defaults_config
- [Get Dimensions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_dimensions.md): get_dimensions: API reference for get_dimensions
- [Get Plugin Manager • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_plugin_manager.md): get_plugin_manager: API reference for get_plugin_manager
- [Get Plugin Template • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_plugin_template.md): get_plugin_template: API reference for get_plugin_template
- [Get Plugins Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/get_plugins_config.md): get_plugins_config: API reference for get_plugins_config
- [guardrail • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/guardrail.md): guardrail: API reference for guardrail
- [guardrail Result From Tuple • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/guardrailResultFromTuple.md): guardrailResultFromTuple: API reference for guardrailResultFromTuple
- [is Enabled • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/isEnabled.md): isEnabled: API reference for isEnabled
- [Is Path Like • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/is_path_like.md): is_path_like: API reference for is_path_like
- [Is Policy String • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/is_policy_string.md): is_policy_string: API reference for is_policy_string
- [list Plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/listPlugins.md): listPlugins: API reference for listPlugins
- [load Plugin • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/loadPlugin.md): loadPlugin: API reference for loadPlugin
- [Load Plugin • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/load_plugin.md): load_plugin: API reference for load_plugin
- [log Error • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/logError.md): logError: API reference for logError
- [normalize Embedding • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/normalizeEmbedding.md): normalizeEmbedding: API reference for normalizeEmbedding
- [not Condition • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/notCondition.md): notCondition: API reference for notCondition
- [or Conditions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/orConditions.md): orConditions: API reference for orConditions
- [parse Plugin Header • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parsePluginHeader.md): parsePluginHeader: API reference for parsePluginHeader
- [parse Plugin Header From File • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parsePluginHeaderFromFile.md): parsePluginHeaderFromFile: API reference for parsePluginHeaderFromFile
- [parse Skill File • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parseSkillFile.md): parseSkillFile: API reference for parseSkillFile
- [Parse Plugin Header • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parse_plugin_header.md): parse_plugin_header: API reference for parse_plugin_header
- [Parse Plugin Header From File • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parse_plugin_header_from_file.md): parse_plugin_header_from_file: API reference for parse_plugin_header_from_file
- [Parse Policy String • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/parse_policy_string.md): parse_policy_string: API reference for parse_policy_string
- [performance Eval • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/performanceEval.md): performanceEval: API reference for performanceEval
- [prompt With Handoff Instructions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/promptWithHandoffInstructions.md): promptWithHandoffInstructions: API reference for promptWithHandoffInstructions
- [register Display Callback • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/registerDisplayCallback.md): registerDisplayCallback: API reference for registerDisplayCallback
- [Register Display Callback • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/register_display_callback.md): register_display_callback: API reference for register_display_callback
- [reliability Eval • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/reliabilityEval.md): reliabilityEval: API reference for reliabilityEval
- [reset Observability Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resetObservabilityAdapter.md): resetObservabilityAdapter: API reference for resetObservabilityAdapter
- [resolve Guardrail Policies • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolveGuardrailPolicies.md): resolveGuardrailPolicies: API reference for resolveGuardrailPolicies
- [Resolve Autonomy • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_autonomy.md): resolve_autonomy: API reference for resolve_autonomy
- [Resolve Caching • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_caching.md): resolve_caching: API reference for resolve_caching
- [Resolve Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_context.md): resolve_context: API reference for resolve_context
- [Resolve Execution • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_execution.md): resolve_execution: API reference for resolve_execution
- [Resolve Guardrail Policies • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_guardrail_policies.md): resolve_guardrail_policies: API reference for resolve_guardrail_policies
- [Resolve Guardrails • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_guardrails.md): resolve_guardrails: API reference for resolve_guardrails
- [Resolve Hooks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_hooks.md): resolve_hooks: API reference for resolve_hooks
- [Resolve Knowledge • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_knowledge.md): resolve_knowledge: API reference for resolve_knowledge
- [Resolve Memory • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_memory.md): resolve_memory: API reference for resolve_memory
- [Resolve Output • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_output.md): resolve_output: API reference for resolve_output
- [Resolve Planning • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_planning.md): resolve_planning: API reference for resolve_planning
- [Resolve Reflection • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_reflection.md): resolve_reflection: API reference for resolve_reflection
- [Resolve Routing • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_routing.md): resolve_routing: API reference for resolve_routing
- [Resolve Skills • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_skills.md): resolve_skills: API reference for resolve_skills
- [Resolve Web • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/resolve_web.md): resolve_web: API reference for resolve_web
- [set Default DB Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/setDefaultDbAdapter.md): setDefaultDbAdapter: API reference for setDefaultDbAdapter
- [set Embedding Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/setEmbeddingConfig.md): setEmbeddingConfig: API reference for setEmbeddingConfig
- [set Observability Adapter • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/setObservabilityAdapter.md): setObservabilityAdapter: API reference for setObservabilityAdapter
- [set Task Mode • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/setTaskMode.md): setTaskMode: API reference for setTaskMode
- [Suggest Similar • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/suggest_similar.md): suggest_similar: API reference for suggest_similar
- [sync Display Callbacks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/syncDisplayCallbacks.md): syncDisplayCallbacks: API reference for syncDisplayCallbacks
- [Sync Display Callbacks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/sync_display_callbacks.md): sync_display_callbacks: API reference for sync_display_callbacks
- [trace • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/trace.md): trace: API reference for trace
- [trace Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/traceContext.md): traceContext: API reference for traceContext
- [Trace Context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/trace_context.md): trace_context: API reference for trace_context
- [track Workflow • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/trackWorkflow.md): trackWorkflow: API reference for trackWorkflow
- [Track Workflow • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/track_workflow.md): track_workflow: API reference for track_workflow
- [Validate Config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/validate_config.md): validate_config: API reference for validate_config
- [when • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/functions/when.md): when: API reference for when
- [agent • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/agent.md): * Agent Module - Core agent classes for PraisonAI
- [AI • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/ai.md): * AI SDK Wrapper Module
- [auto • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/auto.md): * AutoAgents - Automatic agent generation from task descriptions
- [cache • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/cache.md): * Cache System - In-memory and persistent caching for agents
- [CLI • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/cli.md): Module reference for cli
- [conditions • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/conditions.md): * Conditions Module for PraisonAI TypeScript SDK
- [config • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/config.md): * Configuration Module for PraisonAI TypeScript SDK
- [context • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/context.md): * Context Module Index - Export all context management utilities
- [DB • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/db.md): * Database Module - Exports for persistence layer
- [display • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/display.md): * Display Module for PraisonAI TypeScript SDK
- [embeddings • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/embeddings.md): * Embeddings Module for PraisonAI TypeScript SDK
- [eval • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/eval.md): * Evaluation Framework - Accuracy, Performance, and Reliability evaluation
- [events • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/events.md): * Event System - PubSub and Event Emitter for agent communication
- [gateway • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/gateway.md): * Gateway/Bot Module for PraisonAI TypeScript SDK
- [guardrails • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/guardrails.md): * Guardrails - Input/output validation and safety checks
- [hooks • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/hooks.md): * Hooks Module - Complete hooks and callbacks system
- [integrations • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/integrations.md): * PraisonAI Integrations
- [knowledge • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/knowledge.md): Module reference for knowledge
- [LLM • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/llm.md): Module reference for llm
- [MCP • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/mcp.md): * MCP (Model Context Protocol) Integration
- [memory • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/memory.md): Module reference for memory
- [observability • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/observability.md): * Observability Module - Unified tracing, logging, and metrics
- [OS • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/os.md): * App Module for Production Deployment of AI Agents
- [parity • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/parity.md): * Parity Module for PraisonAI TypeScript SDK
- [planning • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/planning.md): * Planning System - Plans, Steps, and TodoLists
- [plugins • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/plugins.md): * Plugin Module for PraisonAI TypeScript SDK
- [process • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/process.md): Module reference for process
- [protocols • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/protocols.md): * Protocols Module for PraisonAI TypeScript SDK
- [RAG • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/rag.md): * RAG Module Index - Export all RAG utilities
- [session • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/session.md): * Session Management - Session, Run, and Trace tracking
- [skills • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/skills.md): * Skills System - Agent Skills standard implementation
- [task • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/task.md): * Task Module for PraisonAI TypeScript SDK
- [telemetry • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/telemetry.md): * Telemetry - Usage tracking and analytics
- [tools • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/tools.md): Module reference for tools
- [trace • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/trace.md): * Trace Module for PraisonAI TypeScript SDK
- [workflows • TypeScript AI Agent SDK](https://docs.praison.ai/docs/sdk/reference/typescript/modules/workflows.md): * Workflows - Pipeline and orchestration patterns
- [AutoAgents](https://docs.praison.ai/docs/sdk/typescript/auto-agents.md): Auto-generate agents from topics
- [Cache](https://docs.praison.ai/docs/sdk/typescript/cache.md): Response caching for LLM calls
- [ContextAgent](https://docs.praison.ai/docs/sdk/typescript/context-agent.md): Agent with enhanced context management
- [Database Adapters](https://docs.praison.ai/docs/sdk/typescript/db-adapters.md): Persistence and session storage
- [Graph RAG](https://docs.praison.ai/docs/sdk/typescript/graph-rag.md): Graph-based retrieval augmented generation
- [Guardrails](https://docs.praison.ai/docs/sdk/typescript/guardrails.md): Content validation and safety
- [Handoff](https://docs.praison.ai/docs/sdk/typescript/handoff.md): Agent-to-agent handoff
- [ImageAgent](https://docs.praison.ai/docs/sdk/typescript/image-agent.md): Image generation and analysis
- [TypeScript SDK](https://docs.praison.ai/docs/sdk/typescript/index.md): PraisonAI TypeScript SDK - Complete AI Agent Framework
- [Observability](https://docs.praison.ai/docs/sdk/typescript/observability.md): Monitoring and tracing
- [Planning](https://docs.praison.ai/docs/sdk/typescript/planning.md): Task planning and todo management
- [PromptExpanderAgent](https://docs.praison.ai/docs/sdk/typescript/prompt-expander.md): Expand and enhance prompts
- [QueryRewriterAgent](https://docs.praison.ai/docs/sdk/typescript/query-rewriter.md): Rewrite and optimize queries
- [Reranker](https://docs.praison.ai/docs/sdk/typescript/reranker.md): Document reranking for improved relevance
- [DeepResearchAgent](https://docs.praison.ai/docs/sdk/typescript/research-agent.md): Comprehensive research with citations
- [RouterAgent](https://docs.praison.ai/docs/sdk/typescript/router-agent.md): Route requests to specialized agents
- [Telemetry](https://docs.praison.ai/docs/sdk/typescript/telemetry.md): Usage monitoring and analytics
- [Vector Stores](https://docs.praison.ai/docs/sdk/typescript/vector-stores.md): Vector database integrations
- [Voice](https://docs.praison.ai/docs/sdk/typescript/voice.md): Text-to-speech and speech-to-text
- [Tools](https://docs.praison.ai/docs/tools.md): Overview of PraisonAI's built-in tools for data search, analysis, and web scraping capabilities
- [API Keys Catalog](https://docs.praison.ai/docs/tools/api-keys.md): Complete reference for all API keys and environment variables used by PraisonAI
- [arXiv Agent](https://docs.praison.ai/docs/tools/arxiv_tools.md): arXiv research paper search and analysis tools for AI agents.
- [AST-Grep Agent](https://docs.praison.ai/docs/tools/ast-grep-tools.md): AST-based structural code search and rewrite tools for AI agents.
- [Calculator Agent](https://docs.praison.ai/docs/tools/calculator_tools.md): Mathematical calculation tools for AI agents.
- [Chain-of-Thought Tools](https://docs.praison.ai/docs/tools/chain-of-thought.md): Generate step-by-step reasoning paths and synthetic training data for AI models
- [Composio PraisonAI Integration](https://docs.praison.ai/docs/tools/composio.md): Guide for integrating Composio's extensive tool ecosystem with PraisonAI agents, enabling access to GitHub, Gmail, and other external services
- [Crawl4AI](https://docs.praison.ai/docs/tools/crawl4ai.md): Built-in Crawl4AI tools for async web crawling, JavaScript rendering, and structured data extraction
- [CSV Agent](https://docs.praison.ai/docs/tools/csv_tools.md): CSV file processing tools for AI agents.
- [Low Code Custom Tools](https://docs.praison.ai/docs/tools/custom.md): Step-by-step guide for creating and implementing custom tools in PraisonAI, including examples and configuration instructions
- [DuckDB Agent](https://docs.praison.ai/docs/tools/duckdb_tools.md): DuckDB database tools for AI agents.
- [DuckDuckGo PraisonAI Integration](https://docs.praison.ai/docs/tools/duckduckgo.md): Guide for integrating DuckDuckGo search capabilities with PraisonAI agents for web search functionality
- [DuckDuckGo Agent](https://docs.praison.ai/docs/tools/duckduckgo_tools.md): Internet search tools using DuckDuckGo for AI agents.
- [Exa Search](https://docs.praison.ai/docs/tools/exa.md): Built-in Exa search tools for AI agents - neural search, content retrieval, similar pages, and AI answers
- [Excel Agent](https://docs.praison.ai/docs/tools/excel_tools.md): Excel file processing tools for AI agents.
- [AgentQL structured data extraction Tool](https://docs.praison.ai/docs/tools/external/agentql-toolkit.md): Guide for using the AgentQL structured data extraction with PraisonAI agents.
- [ArXiv](https://docs.praison.ai/docs/tools/external/arxiv.md): Search and retrieve academic papers from ArXiv
- [Azure Container Apps dynamic sessions Code runtime Tool](https://docs.praison.ai/docs/tools/external/azure-code-interpreter.md): Guide for using the Azure Container Apps dynamic sessions based code Interpreter tool with PraisonAI agents.
- [Bearly Code Interpreter Tool](https://docs.praison.ai/docs/tools/external/bearly-code-interpreter.md): Guide for using the Bearly Code Interpreter tool with PraisonAI agents.
- [BraveSearch Tool](https://docs.praison.ai/docs/tools/external/brave-search.md): Guide for using the BraveSearch tool with PraisonAI agents.
- [Calculator](https://docs.praison.ai/docs/tools/external/calculator.md): Perform mathematical calculations
- [Crawl4AI](https://docs.praison.ai/docs/tools/external/crawl4ai.md): Open-source web crawler for AI applications
- [CSV](https://docs.praison.ai/docs/tools/external/csv.md): Read and manipulate CSV files
- [Discord](https://docs.praison.ai/docs/tools/external/discord.md): Send messages and interact with Discord servers
- [DuckDuckGo Search](https://docs.praison.ai/docs/tools/external/duckduckgo.md): Privacy-focused web search using DuckDuckGo
- [DuckDuckGo Search Tool](https://docs.praison.ai/docs/tools/external/duckduckgo-search.md): Guide for using the DuckDuckGo Search tool with PraisonAI agents.
- [Email](https://docs.praison.ai/docs/tools/external/email.md): Send, read, search, reply, archive, and draft emails — auto-detects AgentMail or SMTP/IMAP backend
- [Exa Search](https://docs.praison.ai/docs/tools/external/exa.md): Neural search engine for finding similar content
- [Exa Search Tool](https://docs.praison.ai/docs/tools/external/exa-search.md): Guide for using the Exa Search tool with PraisonAI agents.
- [File](https://docs.praison.ai/docs/tools/external/file.md): Read and write files
- [Firecrawl](https://docs.praison.ai/docs/tools/external/firecrawl.md): Web scraping and crawling with Firecrawl API
- [GitHub](https://docs.praison.ai/docs/tools/external/github.md): Interact with GitHub repositories, issues, and pull requests
- [GoogleSearch Tool](https://docs.praison.ai/docs/tools/external/google-search.md): Guide for using the GoogleSearch tool with PraisonAI agents.
- [Google Serper Search Tool](https://docs.praison.ai/docs/tools/external/google-serper-search.md): Guide for using the Google Serper Search tool with PraisonAI agents.
- [Google Trends Tool](https://docs.praison.ai/docs/tools/external/google-trends.md): Guide for using the Google Trends tool with PraisonAI agents.
- [Hacker News](https://docs.praison.ai/docs/tools/external/hackernews.md): Access Hacker News stories, comments, and discussions
- [Jina Reader](https://docs.praison.ai/docs/tools/external/jina.md): Convert URLs to LLM-friendly content with Jina Reader API
- [Jina Code Interpreter Tool](https://docs.praison.ai/docs/tools/external/jina-code-interpreter.md): Guide for using the Jina Code Interpreter tool with PraisonAI agents.
- [JinaSearch Tool](https://docs.praison.ai/docs/tools/external/jina-search.md): Guide for using the JinaSearch tool with PraisonAI agents.
- [JSON](https://docs.praison.ai/docs/tools/external/json.md): Read and manipulate JSON files
- [MongoDB](https://docs.praison.ai/docs/tools/external/mongodb.md): Query and manage MongoDB databases
- [MySQL](https://docs.praison.ai/docs/tools/external/mysql.md): Query and manage MySQL databases
- [Notion](https://docs.praison.ai/docs/tools/external/notion.md): Interact with Notion databases and pages
- [PostgreSQL](https://docs.praison.ai/docs/tools/external/postgres.md): Query and manage PostgreSQL databases
- [Python](https://docs.praison.ai/docs/tools/external/python.md): Execute Python code
- [Qdrant](https://docs.praison.ai/docs/tools/external/qdrant.md): Vector database for similarity search
- [Redis](https://docs.praison.ai/docs/tools/external/redis.md): Key-value store and caching with Redis
- [SearchApi Tool](https://docs.praison.ai/docs/tools/external/searchapi-search.md): Guide for using the SearchApi tool with PraisonAI agents.
- [SerpAPI Tool](https://docs.praison.ai/docs/tools/external/serp-api.md): Guide for using the SerpAPI tool with PraisonAI agents.
- [SerpSearch Tool](https://docs.praison.ai/docs/tools/external/serp-search.md): Guide for using the SerpSearch tool with PraisonAI agents.
- [Serper](https://docs.praison.ai/docs/tools/external/serper.md): Google Search API via Serper
- [Shell](https://docs.praison.ai/docs/tools/external/shell.md): Execute shell commands
- [Slack](https://docs.praison.ai/docs/tools/external/slack.md): Send messages and interact with Slack workspaces
- [SQLite](https://docs.praison.ai/docs/tools/external/sqlite.md): Query and manage SQLite databases
- [SurrealDB](https://docs.praison.ai/docs/tools/external/surrealdb.md): Multi-model database tool for document, graph, and relational data
- [Tavily Search](https://docs.praison.ai/docs/tools/external/tavily.md): AI-powered web search using Tavily API
- [TavilySearch Tool](https://docs.praison.ai/docs/tools/external/tavily-search.md): Guide for using the TavilySearch tool with PraisonAI agents.
- [Telegram](https://docs.praison.ai/docs/tools/external/telegram.md): Send messages via Telegram Bot API
- [Weather](https://docs.praison.ai/docs/tools/external/weather.md): Get weather data and forecasts
- [Wikipedia](https://docs.praison.ai/docs/tools/external/wikipedia.md): Search and retrieve Wikipedia articles
- [Wikipedia Search Tool](https://docs.praison.ai/docs/tools/external/wikipedia-search.md): Guide for using the Wikipedia Search tool with PraisonAI agents.
- [YouSearchAPI Tool](https://docs.praison.ai/docs/tools/external/you-search.md): Guide for using the YouSearchAPI tool with PraisonAI agents.
- [YouTube](https://docs.praison.ai/docs/tools/external/youtube.md): Search YouTube and get video transcripts
- [File Agent](https://docs.praison.ai/docs/tools/file_tools.md): File system operation tools for AI agents.
- [Gemini Internal Tools](https://docs.praison.ai/docs/tools/gemini-internal-tools.md): Use Google Gemini's built-in internal tools (Google Search, URL Context, Code Execution) with PraisonAI agents.
- [Google Calendar Tools](https://docs.praison.ai/docs/tools/googlecalendar.md): Comprehensive guide for integrating Google Calendar functionality with PraisonAI agents, including event management and scheduling features
- [PraisonAI Tools Creator GPT](https://docs.praison.ai/docs/tools/gpt.md): Guide for using the PraisonAI Tools Creator GPT to quickly develop and implement custom tools for PraisonAI
- [Jira Agent](https://docs.praison.ai/docs/tools/jira.md): Manage Jira issues and Kanban boards with AI agents
- [JSON Agent](https://docs.praison.ai/docs/tools/json_tools.md): JSON data processing tools for AI agents.
- [Langchain Tools](https://docs.praison.ai/docs/tools/langchain.md): Guide for integrating Langchain tools and utilities with PraisonAI, including direct tool integration and wrapper implementations
- [LangChain Agent](https://docs.praison.ai/docs/tools/langchain_tools.md): Learn how to use LangChain tools and utilities with PraisonAI agents.
- [Mem0 and PraisonAI Integration](https://docs.praison.ai/docs/tools/mem0.md): Guide for integrating Mem0 (formerly EmbedChain) memory management system with PraisonAI, including tools for storing, retrieving, and managing memories
- [Newspaper Agent](https://docs.praison.ai/docs/tools/newspaper_tools.md): News article extraction tools for AI agents.
- [Pandas Agent](https://docs.praison.ai/docs/tools/pandas_tools.md): Pandas data manipulation tools for AI agents.
- [Python Agent](https://docs.praison.ai/docs/tools/python_tools.md): Python code execution tools for AI agents.
- [Reddit PraisonAI Integration](https://docs.praison.ai/docs/tools/reddit.md): Guide for integrating Reddit search capabilities with PraisonAI agents, including API setup and configuration
- [SearxNG Search](https://docs.praison.ai/docs/tools/searxng.md): Search the web using your local SearxNG instance for privacy-focused web searches
- [Shell Agent](https://docs.praison.ai/docs/tools/shell_tools.md): Shell command execution tools for AI agents.
- [Single-File Plugins](https://docs.praison.ai/docs/tools/single-file-plugins.md): Create simple, WordPress-style plugins with just a Python file
- [Spider Agent](https://docs.praison.ai/docs/tools/spider_tools.md): Web scraping tools for AI agents.
- [Tavily Search](https://docs.praison.ai/docs/tools/tavily.md): Built-in Tavily search tools for AI agents - web search, content extraction, crawling, and site mapping
- [AI Agents with Tools](https://docs.praison.ai/docs/tools/tools.md): Learn how to create AI agents that can use tools to interact with external systems and perform actions.
- [Tools as Class](https://docs.praison.ai/docs/tools/tools_class.md): Learn how to create and use class-based tools with AI agents for enhanced functionality.
- [Trafilatura Web Extraction](https://docs.praison.ai/docs/tools/trafilatura.md): Extract clean, structured content from web pages with advanced text extraction capabilities
- [Unified Web Search](https://docs.praison.ai/docs/tools/web-search.md): Built-in unified web search tool with automatic fallback across multiple providers
- [Wikipedia PraisonAI Integration](https://docs.praison.ai/docs/tools/wikipedia.md): Guide for integrating Wikipedia search capabilities with PraisonAI agents using the Wikipedia API wrapper
- [Wikipedia Agent](https://docs.praison.ai/docs/tools/wikipedia_tools.md): Wikipedia data retrieval tools for AI agents.
- [XML Agent](https://docs.praison.ai/docs/tools/xml_tools.md): XML data processing tools for AI agents.
- [YAML Agent](https://docs.praison.ai/docs/tools/yaml_tools.md): YAML data processing tools for AI agents.
- [YFinance Agent](https://docs.praison.ai/docs/tools/yfinance_tools.md): Yahoo Finance data retrieval tools for AI agents.
- [You.com Search](https://docs.praison.ai/docs/tools/you.com.md): Built-in You.com search tools for AI agents - web search, news, content extraction, and images
- [YouTube Search PraisonAI Integration](https://docs.praison.ai/docs/tools/youtube.md): Guide for integrating YouTube search capabilities with PraisonAI agents using the YouTube Search API
- [PraisonAI Train](https://docs.praison.ai/docs/train.md): Guide for training and deploying models with PraisonAI, including Hugging Face and Ollama integration with detailed configuration options
- [Advanced Tool Development](https://docs.praison.ai/docs/tutorials/advanced-tool-development.md): Master guide for creating sophisticated tools and integrations for PraisonAI agents
- [Production Deployment Guide](https://docs.praison.ai/docs/tutorials/production-deployment.md): Comprehensive guide for deploying PraisonAI agents in production environments
- [Testing Agents Guide](https://docs.praison.ai/docs/tutorials/testing-agents.md): Complete guide for testing PraisonAI agents including unit tests, integration tests, and performance testing
- [PraisonAI Chat](https://docs.praison.ai/docs/ui/chat.md): Guide to PraisonAI's chat interface with support for 100+ LLMs, internet search, vision models, and custom database configurations
- [PraisonAI Claw](https://docs.praison.ai/docs/ui/claw.md): Connect your AI agents to Telegram, Discord, Slack and more — all from a single command
- [PraisonAI Code UI](https://docs.praison.ai/docs/ui/code-ui.md): Guide to PraisonAI's code interface for interacting with your codebase using AI, including file management, model configuration, and advanced features
- [Visual Workflow Builder](https://docs.praison.ai/docs/ui/flow.md): Build complex AI workflows visually using a drag-and-drop interface powered by Langflow.
- [Gradio Agent](https://docs.praison.ai/docs/ui/gradio.md): Learn how to create web interfaces for your AI agents using Gradio
- [User Interfaces](https://docs.praison.ai/docs/ui/overview.md): Overview of available user interfaces for PraisonAI agents
- [Realtime Voice Interface](https://docs.praison.ai/docs/ui/realtime.md): Guide to PraisonAI's real-time voice interaction feature with text-to-speech, voice input processing, and financial data integration
- [Streamlit Agent](https://docs.praison.ai/docs/ui/streamlit.md): Learn how to create web interfaces for your AI agents using Streamlit
- [Code Analysis Agent UI](https://docs.praison.ai/docs/ui/streamlit/code-analysis-streamlit.md): Build an interactive web interface for analyzing code quality and providing detailed recommendations using Streamlit and AI agents.
- [Deepseek Streamlit UI](https://docs.praison.ai/docs/ui/streamlit/deepseek-streamlit.md): Create interactive chat interfaces with Deepseek models using Streamlit
- [Gemini Streamlit UI](https://docs.praison.ai/docs/ui/streamlit/gemini-streamlit.md): Create interactive chat interfaces with Google's Gemini models using Streamlit
- [Hackathon Judge Agent UI](https://docs.praison.ai/docs/ui/streamlit/hackathon-judge-streamlit.md): Build an interactive web interface for evaluating hackathon projects using Streamlit and AI agents.
- [MCP with Streamlit](https://docs.praison.ai/docs/ui/streamlit/mcp-streamlit.md): How to properly integrate MCP (Model Context Protocol) tools with PraisonAI Agents in Streamlit applications
- [Ollama Streamlit UI](https://docs.praison.ai/docs/ui/streamlit/ollama-streamlit.md): Create interactive chat interfaces with Ollama models using Streamlit
- [PraisonAI UI](https://docs.praison.ai/docs/ui/ui.md): Launch a clean, distraction-free chat interface for your PraisonAI agents.
- [Azure OpenAI Sora](https://docs.praison.ai/docs/video/azure.md): Generate videos with Azure-hosted Sora
- [Google Gemini Veo](https://docs.praison.ai/docs/video/gemini.md): Generate videos with Google's Veo models
- [OpenAI Sora](https://docs.praison.ai/docs/video/openai.md): Video generation
- [Video Overview](https://docs.praison.ai/docs/video/overview.md): AI video generation
- [RunwayML Gen-4](https://docs.praison.ai/docs/video/runwayml.md): Image-to-video generation with RunwayML
- [Vertex AI Veo](https://docs.praison.ai/docs/video/vertex.md): Generate videos with Google Cloud Vertex AI
- [Video Tutorials](https://docs.praison.ai/docs/videos.md): Learn PraisonAI through our comprehensive video tutorial series
- [Browser Extension Architecture](https://docs.praison.ai/features/browser/extension-architecture.md): How the Chrome Extension communicates with the Python CLI for browser automation
- [LLM as Judge](https://docs.praison.ai/features/llm-judge.md): Evaluate agent performance with AI-powered analysis for context, memory, and knowledge utilization
- [Recipe Workflow](https://docs.praison.ai/features/recipe-workflow.md): Run, judge, and improve agent recipes with automated evaluation and fixes
- [Context Replay](https://docs.praison.ai/features/replay.md): Debug and replay agent execution traces with token tracking, cost analysis, and duplicate detection

## OpenAPI Specs

- [openapi](https://docs.praison.ai/api-reference/openapi.json)