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PyPI

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Overview

Complete API reference documentation for the fiddler-langgraph package, which instruments LangGraph (and the underlying LangChain callback system) and exports OpenTelemetry traces to Fiddler. 
pip install fiddler-langgraph

from fiddler_langgraph import LangGraphInstrumentor

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Components

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Instrumentation

Native LangGraph APIs for tracing, attributes, and LLM context. LangGraphInstrumentor patches the LangChain callback manager so all LangGraph runs emit Fiddler spans. add_span_attributes attaches component-scoped attributes to a specific model, retriever, or tool. set_llm_context and clear_llm_context attach and remove retrieval context (e.g. retrieved documents) on the active model so it appears on its LLM spans. add_session_attributes adds an attribute that appears on every span in the current context, and set_conversation_id (re-exported from fiddler-otel) tags all spans in the current context with a conversation ID.

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Re Exported From Otel

fiddler-langgraph re-exports the core fiddler-otel symbols so you only need to install one package. See the Fiddler OTel SDK reference for full details on each: FiddlerClient (the global client; required to construct LangGraphInstrumentor), trace (decorator that starts a Fiddler span around any function), get_current_span (return the active Fiddler span if any), get_client (return the global FiddlerClient instance), and the manual span wrappers FiddlerChain, FiddlerGeneration, FiddlerSpan, and FiddlerTool.