Comments (1)
Thank you for the report, @Diaoul. Even though you're using a pretty old version of the library, it seems to me that this behavior will persist in the current latest version. We'll look into it.
cc @mabdinur (let me know if there's someone else I should route integration issues to)
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Related Issues (20)
- The gRPC AIO server integration fails to set the gRPC status code for the span HOT 1
- Langchain patch assumes that you have langchain_community installed HOT 3
- Errors parsing DSNs when using both psycopg2 and psycopg
- Feature Request: [LLMObs] Support Automatic spans for `langchain_community`'s tools and retriever. HOT 3
- High CPU utilization causing kubernetes pod scaling with ddtrace > 2.3.0 HOT 2
- Boto3 Bedrock Client - Propogate Http x-datadog headers HOT 2
- Langchain v0.2+: ModuleNotFoundError: No module named 'langchain_community' HOT 2
- How to handle deprecation of `ddtrace.context.Context` when it is still present in public API? HOT 1
- Using ddtrace-run together with `gUnicorn` causes all `Spyne` SOAP endpoints to break. HOT 3
- Python 3.12 / ddtrace-run combined with psycopg3 AsyncConnectionPool leads to `TypeError: 'async for' requires an object with __aiter__ method, got Psycopg3TracedAsyncCursor` when consuming iterator HOT 1
- Add handled exceptions to error tracking HOT 4
- TypeError: unhashable type: 'dict' thrown from cache HOT 1
- TypeError: expected str, bytes or os.PathLike object, not Path HOT 1
- UnboundLocalError: cannot access local variable 'result' where it is not associated with a value HOT 1
- Add support for faststream HOT 1
- Type-checking rough-edges in LLM Observability HOT 3
- Add admission controller to documentation
- Connexion v3, Flask v3 integration with dd-trace fails: datadog context not present in ASGI request scope, trace middleware may be missing
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