Skip to main content
PraisonAI Documentation home page
Search...
⌘K
Guide
SDK Reference
praisonaiagents
praisonai
typescript
Reference
praisonaiagents
Modules
a2a
agent
agents
agui
approval
audio_agent
auto_rag_agent
autoagents
background
bots
bus
checkpoints
chunking
code_agent
compaction
config
context
context_agent
db
deep_research_agent
dimensions
embed
embedding
embedding_agent
escalation
eval
events
failover
fast
feature_configs
flow_display
gateway
guardrails
handoff
hooks
image_agent
knowledge
llm
lsp
main
manager
mcp
memory
middleware
models
obs
ocr_agent
output
param_resolver
parse_utils
permissions
planning
plugins
policy
presets
process
prompt_expander_agent
protocols
query_rewriter_agent
rag
realtime_agent
registry
result
retrieval_config
runner
sandbox
server
session
skills
snapshot
storage
streaming
task
telemetry
thinking
tools
trace
types
ui
verification
video_agent
vision_agent
workflows
Classes
Functions
praisonai
typescript
Submit Issues
MervinPraison/PraisonAI
PraisonAI Documentation home page
Search...
⌘K
Submit Issues
MervinPraison/PraisonAI
MervinPraison/PraisonAI
Search...
Navigation
Modules
obs
Home
Documentation
CLI
Agents
Code
UI
Tools
MCP
Deploy
Examples
SDK
JS
Course
Home
Documentation
CLI
Agents
Code
UI
Tools
MCP
Deploy
Examples
SDK
JS
Course
Modules
obs
Copy page
Observability interface for PraisonAI Agents.
Copy page
praisonaiagents.obs
Core SDK
Observability interface for PraisonAI Agents.
This module provides the protocol and types for observability/tracing. Implementations are provided by the wrapper layer (praisonai_tools.observability).
Usage (simplest - recommended): from praisonaiagents import Agent, obs
agent = Agent( name=“Assistant”, observability=obs.auto(), # Auto-detect from env vars ) agent.chat(“Hello!”) # Auto-traces to configured provider
Alternative (explicit provider): observability=obs.langfuse() # Langfuse observability=obs.langsmith() # LangSmith observability=obs.agentops() # AgentOps observability=obs.arize() # Arize Phoenix observability=obs.datadog() # Datadog
Overview
This module provides components for obs.
Classes
Span
Represents a span in a trace.
Trace
Represents a complete trace.
ObservabilityAdapter
Protocol for observability adapters.
Previous
ocr_agent
OCRAgent - A specialized agent class for OCR (Optical Character Recognition).
Next
⌘I
On this page
praisonaiagents.obs
Overview
Classes