respan-instrumentation-langchain 0.1.0

Respan instrumentation plugin for LangChain, LangGraph, and Langflow

respan-instrumentation-langchain

Python instrumentation for LangChain-compatible callback flows. It emits Respan/Traceloop spans through respan-tracing, so LangChain chains, chat models, tools, retrievers, LangGraph runs, and Langflow components that execute LangChain/LangGraph callbacks are exported into the normal Respan trace pipeline.

Configuration

1. Install

pip install respan-instrumentation-langchain

2. Set Environment Variables

Variable	Required	Description
RESPAN_API_KEY	Yes	Your Respan API key.
RESPAN_BASE_URL	No	Defaults to https://api.respan.ai.

Quickstart

3. Run Script

from respan import Respan
from respan_instrumentation_langchain import LangChainInstrumentor

respan = Respan(instrumentations=[LangChainInstrumentor()])

chain.invoke({"question": "hello"})
respan.flush()

For explicit per-run callbacks:

from respan_instrumentation_langchain import add_respan_callback

chain.invoke(
    {"question": "hello"},
    config=add_respan_callback({"tags": ["demo"]}),
)

The same config helper works with LangGraph:

graph.invoke(
    {"messages": [{"role": "user", "content": "hi"}]},
    config=add_respan_callback({"configurable": {"thread_id": "thread-1"}}),
)

Langflow custom components can use get_callback_handler() or add_respan_callback() when invoking LangChain or LangGraph objects.

4. View Dashboard

After running the script, traces appear on your Respan dashboard.

Further Reading

• Example projects