Getting Span ID for Feedback in Django with LangChain Instrumentation

·Mar 20, 2025 03:22 PM

Hi all! I was wondering if somebody might be able to help me with getting the span ID I need to add feedback. I’ve searched here for get_current_span langchain and read related GitHub issues on getting the current span/anscestors with auto-instrumenting a LangChain app and I still can’t get this to work. I’m initializing tracing in a Django app like so:

if INSTRUMENT_PHOENIX:
    PHOENIX_BASE_URL = env.str(
        "PHOENIX_BASE_URL",
        default="",
    )
    from phoenix.otel import register
    from openinference.instrumentation.langchain import LangChainInstrumentor

    TRACER_PROVIDER = register(
        project_name=env.str("PHOENIX_PROJECT_NAME", default="default"),
        endpoint=env.str(
            "PHOENIX_COLLECTOR_ENDPOINT", default=""
        ),
    )
    LangChainInstrumentor().instrument(tracer_provider=TRACER_PROVIDER)

and I can’t seem to get the spans in any context:

    from openinference.instrumentation.langchain import (
        get_ancestor_spans,
        get_current_span,
    )

    log.info(f"Ancestor Spans: {get_ancestor_spans()}")
    log.info(f"Current span: {get_current_span()}")
2025-03-20 15:02:28 2025-03-20T15:02:28.246523Z [info     ] Ancestor Spans: []
2025-03-20 15:02:28 2025-03-20T15:02:28.246834Z [info     ] Current span: None

Here are my dependencies:

arize-phoenix-otel==0.8.0
arize-phoenix-client==1.1.0
openinference-instrumentation-langchain==0.1.37

if INSTRUMENT_PHOENIX: PHOENIX_BASE_URL = env.str( "PHOENIX_BASE_URL", default="", ) from phoenix.otel import register from openinference.instrumentation.langchain import LangChainInstrumentor TRACER_PROVIDER = register( project_name=env.str("PHOENIX_PROJECT_NAME", default="default"), endpoint=env.str( "PHOENIX_COLLECTOR_ENDPOINT", default="" ), ) LangChainInstrumentor().instrument(tracer_provider=TRACER_PROVIDER)

from openinference.instrumentation.langchain import ( get_ancestor_spans, get_current_span, ) log.info(f"Ancestor Spans: {get_ancestor_spans()}") log.info(f"Current span: {get_current_span()}") 2025-03-20 15:02:28 2025-03-20T15:02:28.246523Z [info ] Ancestor Spans: [] 2025-03-20 15:02:28 2025-03-20T15:02:28.246834Z [info ] Current span: None

class LogSpansCallback(BaseCallbackHandler): def on_llm_end( self, response: LLMResult, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any, ) -> Any: log_spans(run_id, "on_llm_end") def on_llm_start( self, serialized: dict[str, Any], prompts: list[str], *, run_id: UUID, parent_run_id: Optional[UUID] = None, tags: Optional[list[str]] = None, metadata: Optional[dict[str, Any]] = None, **kwargs: Any, ) -> Any: log_spans(run_id, "on_llm_start")

with get_openai_callback() as callback: async for chunk in rag_chain.astream( data, { "configurable": {"session_id": chat_session_id}, "callbacks": [LogSpansCallback()], }, ):

Getting Span ID for Feedback in Django with LangChain Instrumentation

11 comments

Getting Span ID for Feedback in Django with LangChain Instrumentation

11 comments