Skip to content

feat(langchain): Set gen_ai.operation.name and gen_ai.pipeline.name on LLM spans #5849

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ericapisani merged 4 commits into from
Mar 25, 2026
Merged

feat(langchain): Set gen_ai.operation.name and gen_ai.pipeline.name on LLM spans #5849

Show file tree
Hide file tree
Changes from 3 commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
840eced
test(langchain): Add pipeline name attribute assertions to on_llm_sta…
ericapisani Mar 24, 2026
97e60f3
Merge branch 'master' into ep/sdk-669-add-pipeline-to-span-attributes…
ericapisani Mar 25, 2026
940a455
Address CR comment
ericapisani Mar 25, 2026
16805b3
Merge branch 'master' into ep/sdk-669-add-pipeline-to-span-attributes…
ericapisani Mar 25, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions sentry_sdk/integrations/langchain.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -374,6 +374,12 @@ def on_llm_start(
)
span = watched_span.span

span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "generate_text")

pipeline_name = kwargs.get("name")
if pipeline_name:
span.set_data(SPANDATA.GEN_AI_PIPELINE_NAME, pipeline_name)

if model:
span.set_data(
SPANDATA.GEN_AI_REQUEST_MODEL,
Expand Down
10 changes: 8 additions & 2 deletions tests/integrations/langchain/test_langchain.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ def test_langchain_text_completion(
) as _:
with start_transaction():
input_text = "What is the capital of France?"
model.invoke(input_text)
model.invoke(input_text, config={"run_name": "my-snazzy-pipeline"})

tx = events[0]
assert tx["type"] == "transaction"
Expand All @@ -159,6 +159,8 @@ def test_langchain_text_completion(

llm_span = llm_spans[0]
assert llm_span["description"] == "generate_text gpt-3.5-turbo"
assert llm_span["data"]["gen_ai.system"] == "openai"
assert llm_span["data"]["gen_ai.pipeline.name"] == "my-snazzy-pipeline"
assert llm_span["data"]["gen_ai.request.model"] == "gpt-3.5-turbo"
assert llm_span["data"]["gen_ai.response.text"] == "The capital of France is Paris."
assert llm_span["data"]["gen_ai.usage.total_tokens"] == 25
Expand Down Expand Up @@ -1264,6 +1266,7 @@ def test_langchain_message_truncation(sentry_init, capture_events):
serialized=serialized,
prompts=prompts,
run_id=run_id,
name="my_pipeline",
Comment thread
alexander-alderman-webb marked this conversation as resolved.
invocation_params={
"temperature": 0.7,
"max_tokens": 100,
Expand Down Expand Up @@ -1293,8 +1296,10 @@ def test_langchain_message_truncation(sentry_init, capture_events):
assert len(llm_spans) > 0

llm_span = llm_spans[0]
assert SPANDATA.GEN_AI_REQUEST_MESSAGES in llm_span["data"]
assert llm_span["data"]["gen_ai.operation.name"] == "generate_text"
assert llm_span["data"][SPANDATA.GEN_AI_PIPELINE_NAME] == "my_pipeline"

assert SPANDATA.GEN_AI_REQUEST_MESSAGES in llm_span["data"]
messages_data = llm_span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
assert isinstance(messages_data, str)

Expand Down Expand Up @@ -2007,6 +2012,7 @@ def test_langchain_response_model_extraction(
assert len(llm_spans) > 0

llm_span = llm_spans[0]
assert llm_span["data"]["gen_ai.operation.name"] == "generate_text"

if expected_model is not None:
assert SPANDATA.GEN_AI_RESPONSE_MODEL in llm_span["data"]
Expand Down
Loading