# Chat with an agent
praisonai-ts chat "Your message here"

# Run an agent with a task
praisonai-ts run "Your task" --agent my-agent.yaml

praisonai-ts chat "Hello, how are you?"

praisonai-ts chat "Hello" --model gpt-4o-mini

praisonai-ts chat "Write a poem" --stream

# Simple chat
praisonai-ts chat "What is the capital of France?"

# With custom model
praisonai-ts chat "Explain quantum computing" --model gpt-4o

# With session persistence
praisonai-ts chat "My name is Alice" --session user-123
praisonai-ts chat "What's my name?" --session user-123

# JSON output
praisonai-ts chat "Hello" --json

# Streaming output
praisonai-ts chat "Write a story about a robot" --stream

{
  "success": true,
  "data": {
    "response": "Hello! How can I help you today?",
    "sessionId": "550e8400-e29b-41d4-a716-446655440000"
  },
  "meta": {
    "duration_ms": 1234,
    "model": "gpt-4o-mini"
  }
}

praisonai-ts run "Analyze this data" --agent my-agent.yaml

# Run a task with tools
praisonai-ts run "Search the web for AI news" --tools tavily

# Run with agent config
praisonai-ts run "Summarize the document" --agent researcher.yaml

# JSON output for scripting
praisonai-ts run "Generate 5 random names" --json

# Required - at least one provider key
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=...

# Optional - default model
export PRAISONAI_MODEL=gpt-4o-mini

# Optional - default database for persistence
export PRAISONAI_DB=sqlite:./data.db

# Add memory that persists
praisonai-ts memory add "User prefers dark mode" --db sqlite:./data.db

# List persisted memories
praisonai-ts memory list --db sqlite:./data.db

# Search memories
praisonai-ts memory search "dark" --db sqlite:./data.db

# Create a persistent session
praisonai-ts session create my-session --db sqlite:./data.db

# List all sessions
praisonai-ts session list --db sqlite:./data.db

# Get session details
praisonai-ts session get my-session --db sqlite:./data.db

# Add knowledge from text
praisonai-ts knowledge add "PraisonAI is an AI agent framework" --db sqlite:./data.db

# Add knowledge from file
praisonai-ts knowledge add ./document.txt --db sqlite:./data.db

# Search knowledge base
praisonai-ts knowledge search "agent framework" --db sqlite:./data.db

# List all knowledge entries
praisonai-ts knowledge list --db sqlite:./data.db

export PRAISONAI_DB=sqlite:./data.db

# Now all commands use persistent storage
praisonai-ts memory add "Hello world"
praisonai-ts memory list  # Shows persisted entry

#!/bin/bash

# Run agent and capture output
RESULT=$(praisonai-ts chat "What is 2+2?" --json)
ANSWER=$(echo $RESULT | jq -r '.data.response')
echo "Answer: $ANSWER"

# Chain with other commands
praisonai-ts chat "Generate a topic" | \
  xargs -I {} praisonai-ts chat "Write about: {}"

$ praisonai-ts chat "Hello"
Error: OPENAI_API_KEY environment variable is not set

$ praisonai-ts chat "Hello" --model invalid-model
Error: Model 'invalid-model' is not available