fix(langchain): trace nested workflows by 1fanwang · Pull Request #617 · open-telemetry/opentelemetry-python-genai

1fanwang · 2026-09-04T03:03:45Z

Description

Named LangGraph subgraphs disappear from traces, so their duration and outcome cannot be inspected separately. They now emit workflow spans while agent graphs keep one agent span and ordinary nested chains remain suppressed.

Graph entry points identify compiled graph roots, so metadata inherited from an enclosing graph does not create extra agent spans. A node that opts out of agent spans no longer hides a nested workflow, since that opt-out only says the node is not an agent. Opting out of tracing still applies.

Fixes #578

Type of change

Bug fix (non-breaking change which fixes an issue)
New feature (non-breaking change which adds functionality) (not applicable)
Breaking change (fix or feature that would cause existing functionality to not work as expected) (not applicable)
This change requires a documentation update

How has this been tested?

The tests do not assert async parent links. #513 tracks why, and those assertions stay xfailed.

E2E

The reproducer uses real compiled graphs and the OpenTelemetry exporter with local message nodes. It requires no model service or credentials. The historical Before runtime was Python 3.12.9, langchain-core 1.6.9 and langgraph 1.2.14. The current After runs use Python 3.10.21/core 0.3.49/graph 0.3.18 and Python 3.14.7/core 1.7.0/graph 1.2.16. Its third case sets otel_agent_span to False on the node that runs the nested graph, and the nested graph inherits it.

Test A: The compiled-graph reproducer shows the missing nested span on upstream main and the emitted spans on this branch.

#	Scenario	Command	Result
1	Before fix	Reproducer below	The nested workflow is missing; exit code 1.
2	This branch	Same reproducer	The nested workflow is present; exit code 0.

Save the sources below beside the repository and run from its root with the indicated environments prepared. The historical Before command used its original py312 environment.

Before, at 7a576ee:

git checkout --detach 7a576ee88621f939ab079044923a44d286a794b0
.tox/py312-test-instrumentation-genai-langchain-latest/bin/python ../nested_workflow_repro.py; echo "exit=$?"

sync workflow: [('invoke_workflow outer', None)] MISSING
sync agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
sync opt_out: [('invoke_workflow outer', None)] MISSING
async workflow: [('invoke_workflow outer', None)] MISSING
async agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async opt_out: [('invoke_workflow outer', None)] MISSING
exit=1

After, at bf40a11:

.tox/py310-test-instrumentation-genai-langchain-oldest/bin/python ../nested_workflow_repro.py

sync workflow: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
sync agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
sync opt_out: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async workflow: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async opt_out: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok

.tox/py314-test-instrumentation-genai-langchain-latest/bin/python ../nested_workflow_repro.py

sync workflow: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
sync agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
sync opt_out: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async workflow: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async agent: [('invoke_agent my_agent', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok
async opt_out: [('invoke_workflow named_subgraph', 'invoke_workflow outer'), ('invoke_workflow outer', None)] ok

Reproducer source: nested_workflow_repro.py

import asyncio
from typing import Any, TypedDict

from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langgraph.graph import END, START, StateGraph
from opentelemetry.instrumentation.genai.langchain import LangChainInstrumentor
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
from opentelemetry.test_util_genai.instrumentor import instrument


class State(TypedDict):
    messages: list[BaseMessage]


def respond(_: State) -> State:
    return {"messages": [AIMessage(content="done")]}


def graph(node: Any, name: str, metadata: dict[str, Any] | None = None) -> Any:
    builder = StateGraph(State)
    builder.add_node(node="step", action=node, metadata=metadata)
    builder.add_edge(start_key=START, end_key="step")
    builder.add_edge(start_key="step", end_key=END)
    return builder.compile(name=name)


failed = False
for async_mode in (False, True):
    for case in ("workflow", "agent", "opt_out"):
        exporter = InMemorySpanExporter()
        tracer = TracerProvider()
        tracer.add_span_processor(SimpleSpanProcessor(exporter))
        child = graph(node=respond, name="named_subgraph")
        expected = "invoke_workflow named_subgraph"
        if case == "agent":
            child = child.with_config(metadata={"agent_name": "my_agent"})
            expected = "invoke_agent my_agent"
        # The node that runs the nested graph opts out of agent spans; the
        # nested graph inherits that metadata but never set it itself.
        node_metadata = {"otel_agent_span": False} if case == "opt_out" else None
        outer = graph(node=child, name="outer", metadata=node_metadata)
        with instrument(
            LangChainInstrumentor(), tracer_provider=tracer,
            meter_provider=None, logger_provider=None,
            content_capture="SPAN_ONLY",
        ):
            inputs: State = {"messages": [HumanMessage(content="hello")]}
            if async_mode:
                asyncio.run(outer.ainvoke(input=inputs))
            else:
                outer.invoke(input=inputs)
        spans = exporter.get_finished_spans()
        names = {span.context.span_id: span.name for span in spans}
        seen = [
            (span.name, names[span.parent.span_id] if span.parent else None)
            for span in spans
        ]
        ok = sorted(name for name, _ in seen) == sorted(
            [expected, "invoke_workflow outer"]
        )
        failed = failed or not ok
        print(
            f"{'async' if async_mode else 'sync'} {case}: {seen} "
            f"{'ok' if ok else 'MISSING'}",
            flush=True,
        )
raise SystemExit(1 if failed else 0)

The compatibility observation runs local compiled graphs and prints every emitted span with its conversation ID. Bound IDs fall back to graph metadata, runtime IDs take precedence, bound trace opt-outs hide the child graph, and internal writers emit no agent spans. Both runs use the same current commit above.

.tox/py310-test-instrumentation-genai-langchain-oldest/bin/python ../compatibility_observation.py

sync bound-id: [('invoke_workflow child', 'bound'), ('invoke_workflow outer', None)]
sync runtime-id: [('invoke_workflow child', 'runtime'), ('invoke_workflow outer', None)]
sync runtime-session: [('invoke_workflow child', 'session'), ('invoke_workflow outer', None)]
sync bound-trace: [('invoke_workflow outer', None)]
sync hidden-writer: [('invoke_agent', None)]
async bound-id: [('invoke_workflow child', 'bound'), ('invoke_workflow outer', None)]
async runtime-id: [('invoke_workflow child', 'runtime'), ('invoke_workflow outer', None)]
async runtime-session: [('invoke_workflow child', 'session'), ('invoke_workflow outer', None)]
async bound-trace: [('invoke_workflow outer', None)]
async hidden-writer: [('invoke_agent', None)]

.tox/py314-test-instrumentation-genai-langchain-latest/bin/python ../compatibility_observation.py

sync bound-id: [('invoke_workflow child', 'bound'), ('invoke_workflow outer', None)]
sync runtime-id: [('invoke_workflow child', 'runtime'), ('invoke_workflow outer', None)]
sync runtime-session: [('invoke_workflow child', 'session'), ('invoke_workflow outer', None)]
sync bound-trace: [('invoke_workflow outer', None)]
sync hidden-writer: [('invoke_agent', None)]
async bound-id: [('invoke_workflow child', 'bound'), ('invoke_workflow outer', None)]
async runtime-id: [('invoke_workflow child', 'runtime'), ('invoke_workflow outer', None)]
async runtime-session: [('invoke_workflow child', 'session'), ('invoke_workflow outer', None)]
async bound-trace: [('invoke_workflow outer', None)]
async hidden-writer: [('invoke_agent', None)]

Reproducer source: compatibility_observation.py

from __future__ import annotations

import asyncio
from typing import Any, TypedDict

from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.runnables import RunnableLambda
from langgraph.graph import END, START, StateGraph
from opentelemetry.instrumentation.genai.langchain import LangChainInstrumentor
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
from opentelemetry.semconv._incubating.attributes import gen_ai_attributes as GenAI
from opentelemetry.test_util_genai.instrumentor import instrument


class State(TypedDict):
    messages: list[BaseMessage]


def respond(_: State) -> State:
    return {"messages": [AIMessage(content="done")]}


def graph(node: Any, *, name: str) -> Any:
    builder = StateGraph(State)
    builder.add_node(node="step", action=node)
    builder.add_edge(start_key=START, end_key="step")
    builder.add_edge(start_key="step", end_key=END)
    return builder.compile(name=name)


async def observe(*, async_mode: bool, case: str) -> None:
    exporter = InMemorySpanExporter()
    tracer = TracerProvider()
    tracer.add_span_processor(SimpleSpanProcessor(span_exporter=exporter))
    expected_id: str | None = None
    if case in {"bound-id", "runtime-id", "runtime-session"}:
        child = graph(respond, name="child").with_config(
            metadata={"thread_id": "bound"}
        )
        runtime_metadata: dict[str, str | None] = (
            {"thread_id": "runtime"} if case == "runtime-id"
            else {"thread_id": None, "session_id": "session"}
            if case == "runtime-session" else {}
        )

        def run_child(state: State) -> State:
            return child.invoke(input=state, config={"metadata": runtime_metadata})

        async def arun_child(state: State) -> State:
            return await child.ainvoke(
                input=state, config={"metadata": runtime_metadata}
            )

        outer = graph(RunnableLambda(run_child, afunc=arun_child), name="outer")
        expected_id = {
            "bound-id": "bound", "runtime-id": "runtime",
            "runtime-session": "session",
        }[case]
        expected_names = ["invoke_workflow child", "invoke_workflow outer"]
    elif case == "bound-trace":
        child = graph(respond, name="child").with_config(
            metadata={"otel_trace": False}
        )
        outer = graph(child, name="outer")
        expected_names = ["invoke_workflow outer"]
    else:
        outer = graph(respond, name="agent")
        expected_names = ["invoke_agent"]
    with instrument(
        LangChainInstrumentor(), tracer_provider=tracer,
        meter_provider=None, logger_provider=None, content_capture="SPAN_ONLY",
    ):
        inputs: State = {"messages": [HumanMessage(content="hello")]}
        config = {"metadata": {"agent_type": "worker"}} if case == "hidden-writer" else None
        if async_mode:
            await outer.ainvoke(input=inputs, config=config)
        else:
            outer.invoke(input=inputs, config=config)
    spans = exporter.get_finished_spans()
    observed = sorted(
        (span.name, span.attributes.get(GenAI.GEN_AI_CONVERSATION_ID))
        for span in spans
    )
    print(f"{'async' if async_mode else 'sync'} {case}: {observed}", flush=True)
    assert sorted(span.name for span in spans) == expected_names
    if expected_id is not None:
        child_span = next(span for span in spans if span.name == "invoke_workflow child")
        assert child_span.attributes.get(GenAI.GEN_AI_CONVERSATION_ID) == expected_id


for async_mode in (False, True):
    for case in ("bound-id", "runtime-id", "runtime-session", "bound-trace", "hidden-writer"):
        asyncio.run(observe(async_mode=async_mode, case=case))

The local conformance run could not execute because Weaver is not installed. CI runs this target.

Checklist

See CONTRIBUTING.md
for the style guide, changelog guidance, and more.

Followed the style guidelines of this project
Changelog updated if the change requires an entry
Unit tests added
Documentation updated

Signed-off-by: 1fanwang <1fannnw@gmail.com>

Copilot

🟢 Approval recommended

The changes are well-scoped to LangGraph nested workflow span classification and are backed by targeted regression tests (sync and async) covering the reported failure mode.

Pull request overview

This PR fixes LangChain/LangGraph workflow tracing so that named nested subgraphs emit their own invoke_workflow spans, instead of disappearing into the outer workflow span. It extends the “graph announcement” mechanism (introduced for nested agents) to all compiled graphs, while keeping agent graphs classified as invoke_agent and continuing to suppress ordinary nested RunnableSequence chains.

Changes:

Extend graph announcements to cover non-agent compiled graphs, enabling nested subgraph workflow spans.
Adjust chain-run classification precedence to honor explicit overrides and prefer announced nested workflows over inherited agent metadata.
Add regression tests validating that a named nested subgraph produces an additional workflow span (sync + async).

File summaries

File	Description
instrumentation/opentelemetry-instrumentation-genai-langchain/tests/test_workflow.py	New regression tests for nested LangGraph subgraph workflow spans and suppression behavior for non-graph nested chains.
instrumentation/opentelemetry-instrumentation-genai-langchain/tests/test_operation_mapping.py	Adds unit tests covering workflow override behavior when nested and precedence rules with announcements vs metadata.
instrumentation/opentelemetry-instrumentation-genai-langchain/src/opentelemetry/instrumentation/genai/langchain/operation_mapping.py	Updates workflow/agent classification logic to allow nested workflow spans when a compiled-graph announcement is present.
instrumentation/opentelemetry-instrumentation-genai-langchain/src/opentelemetry/instrumentation/genai/langchain/callback_handler.py	Uses the generalized graph announcement (`claim_graph`) and threads `announced_workflow` into classification; supports workflow naming from announcements.
instrumentation/opentelemetry-instrumentation-genai-langchain/src/opentelemetry/instrumentation/genai/langchain/agent_context.py	Generalizes pending context from “agent” to “graph” announcements and announces non-agent graphs during Pregel stream entry.

Review details

Files reviewed: 5/5 changed files
Comments generated: 0
Review effort level: Lite

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opentelemetry-pr-dashboard · 2026-09-04T03:09:36Z

Pull request dashboard status

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Signed-off-by: 1fanwang <1fannnw@gmail.com>

Assisted-by: GitHub Copilot CLI (GPT-5.6 Sol) Signed-off-by: 1fanwang <1fannnw@gmail.com>

Keep graph-owned metadata while using the current local-agent invocation contract. Signed-off-by: 1fanwang <1fannnw@gmail.com>

Signed-off-by: 1fanwang <1fannnw@gmail.com>

Copilot

🟡 Changes recommended

Moderate issues affect stream API compatibility and can suppress announced workflow spans under inherited metadata.

1 open finding

Use effective metadata for workflow classification · New

🧠 Review effort: Lite

-            agent_announcement is not None,
-            ancestor_agent_names,
+            serialized=serialized,
+            metadata=metadata,


The only conflict was in on_tool_start in callback_handler.py. Main replaced the manual tool argument parsing with tool_arguments_to_any_value, and this branch changed _find_agent_context to return three values. The merged code keeps both changes. Assisted-by: GitHub Copilot CLI (claude-sonnet-5.5) Signed-off-by: 1fanwang <1fannnw@gmail.com>

An enclosing task that sets otel_agent_span to False passes it to every nested callback, so a nested graph announced as a workflow was dropped although its own metadata did not set it. Announced workflows now read that opt-out from their own graph metadata. The otel_trace opt-out and announced agents are unchanged. Assisted-by: GitHub Copilot CLI (claude-sonnet-5.5) Signed-off-by: 1fanwang <1fannnw@gmail.com>

lmolkova · 2026-10-16T04:14:50Z


-    # 3. Workflow / orchestration detection.
-    if _looks_like_workflow(serialized, metadata, parent_run_id):
+    if metadata and metadata.get(_META_WORKFLOW_SPAN):


Callback metadata is inherited by every child run, so without the top-level guard every chain under a run marked otel_workflow_span becomes an invoke_workflow span. E.g. graph.invoke(x, config={"metadata": {"otel_workflow_span": True}}) now reports each node as a workflow too. Chains and nodes will get their own span type (open-telemetry/semantic-conventions-genai#188), which is not workflow.

Could the override apply only on the top-level run (no parent_run_id) as before? Nested graphs don't need it: every Pregel.stream/astream is announced, and classify_chain_run returns invoke_workflow for an announced graph before it looks at the override - test_nested_subgraph_emits_workflow_spans already gets both spans without it. The workflow-override case in test_graph_child_with_local_operation_metadata would go. Test that showcases the problem:

def test_inherited_workflow_override_marks_only_top_level_run( instrument_langchain: Any, span_exporter: InMemorySpanExporter, ) -> None: graph = _graph(_respond, name="outer_graph") with instrument_langchain(): graph.invoke( {"messages": [HumanMessage(content="hello")]}, config={"metadata": {"otel_workflow_span": True}}, ) assert [s.name for s in _workflow_spans(span_exporter)] == [ "invoke_workflow outer_graph" ]

lmolkova · 2026-10-16T04:14:50Z

+        or (
+            not has_parent_agent
+            and (
+                metadata.get(_META_AGENT_TYPE)
+                or metadata.get(_META_AGENT_SPAN)
+            )
+        )


This drops explicitly marked agents nested under an agent, not just inherited signals. A runnable with agent_type called from an agent graph used to get invoke_agent researcher; now it gets no span. Fails on this PR, passes on main:

def test_explicit_agent_nested_under_agent( instrument_langchain: Any, span_exporter: InMemorySpanExporter, ) -> None: researcher = RunnableLambda(_respond).with_config( run_name="researcher", metadata={"agent_type": "worker"} ) supervisor = _graph(researcher, name="supervisor").with_config( {"metadata": {"agent_name": "supervisor"}} ) with instrument_langchain(): supervisor.invoke({"messages": [HumanMessage(content="hello")]}) assert {s.name for s in _agent_spans(span_exporter)} == { "invoke_agent supervisor", "invoke_agent researcher", }

lmolkova · 2026-10-16T04:14:50Z


-_pending: ContextVar[tuple[_PendingAgent, ...]] = ContextVar(
-    "otel_genai_pending_agents", default=()
+_PendingAgent = _PendingGraph


nit: the alias only exists for test_conversation_id.py; consider switching that test to _PendingGraph and dropping it.

Suggested change

_pending: ContextVar[tuple[_PendingAgent, ...]] = ContextVar(

"otel_genai_pending_agents", default=()

_PendingAgent = _PendingGraph

lmolkova · 2026-10-16T04:14:50Z

                    _attach_to_context=self._attach_to_context,
                )
-                agent.input_messages = make_input_message(inputs)
+                agent.conversation_id = conversation_id


nit: conversation_id is already passed to invoke_local_agent above.

Suggested change

agent.conversation_id = conversation_id

Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

opentelemetry-pr-dashboard · 2026-10-23T04:36:40Z

Hi @1fanwang — just a friendly reminder that this pull request is waiting on you. The dashboard status comment has the open items and is kept current.

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Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

fix(langchain): trace nested workflows

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Signed-off-by: 1fanwang <1fannnw@gmail.com>

Copilot AI lite review requested due to automatic review settings September 4, 2026 03:03

1fanwang requested a review from a team as a code owner September 4, 2026 03:03

github-project-automation Bot added this to GenAI Semantic Conventions and Instrumentation libraries Sep 4, 2026

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Pull Request Dashboard #171

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docs(langchain): add changelog for open-telemetry#617

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Signed-off-by: 1fanwang <1fannnw@gmail.com>

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1fanwang added 3 commits September 5, 2026 11:16

fix(langchain): preserve nested graph classification

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Assisted-by: GitHub Copilot CLI (GPT-5.6 Sol) Signed-off-by: 1fanwang <1fannnw@gmail.com>

Merge main into the nested LangGraph workflow fix

16e6267

Keep graph-owned metadata while using the current local-agent invocation contract. Signed-off-by: 1fanwang <1fannnw@gmail.com>

Merge upstream workflow dependency compatibility fix

ba688bd

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lmolkova and others added 4 commits September 23, 2026 18:37

test(langchain): add test coverage for nested workflows and naming

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Signed-off-by: 1fanwang <1fannnw@gmail.com>

test(langchain): cover graph config and fallback names

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Merge main into the nested workflow fix

7cf3314

Signed-off-by: 1fanwang <1fannnw@gmail.com>

fix(langchain): preserve graph names and local metadata

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Merge upstream/main into 1fannnw/langchain-nested-workflow-578

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1fanwang requested review from lmolkova and a lite review from Copilot October 7, 2026 18:43

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Comment thread ...tation-genai-langchain/src/opentelemetry/instrumentation/genai/langchain/callback_handler.py

agent_announcement is not None,

ancestor_agent_names,

serialized=serialized,

metadata=metadata,

1fanwang added 2 commits October 12, 2026 00:32

lmolkova requested changes Oct 16, 2026

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1fanwang added 2 commits October 21, 2026 14:15

fix(langchain): scope inherited workflow and agent signals

6b54011

Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

Merge main and preserve nested graph metadata across supported runtimes

c88a457

Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

1fanwang added 3 commits October 22, 2026 21:53

Merge current main into nested workflow fix

bf40a11

Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

docs: refresh generated instrumentation versions

613a2f4

Assisted-by: GitHub Copilot CLI (Auto) Signed-off-by: 1fanwang <1fannnw@gmail.com>

Merge current main into nested workflow fix

6a2dc14

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