Ddtrace

Bug Fixes

- Code Security (IAST)
- Always report a telemetry log error when an IAST propagation error raises, regardless of whether the `_DD_IAST_DEBUG` environment variable is enabled or not.
- Code Security: Fixes potential memory leak on IAST exception handling.

- Profiling:
- Updates filenames for all files with platform-dependent code to reflect the platform they are for. This fixes issues where the wrong file would be used on a given platform.
- Enables endpoint profiling for stack v2, `DD_PROFILING_STACK_V2_ENABLED` is set.
- Fixes endpoint profiling when using libdatadog exporter, either with `DD_PROFILING_EXPORT_LIBDD_ENABLED` or `DD_PROFILING_TIMELINE_ENABLED`.
- Enables code provenance when using libdatadog exporter, `DD_PROFILING_EXPORT_LIBDD_ENABLED`, `DD_PROFILING_STACK_V2_ENABLED`, or `DD_PROFILING_TIMELINE_ENABLED`.
- Fixes an issue where the flamegraph was upside down for stack v2 when enabling `DD_PROFILING_STACK_V2_ENABLED`.

- Tracing
- Fixes an issue where `celery.apply` spans didn't close if the `after_task_publish` or `task_postrun` signals didn't get sent when using `apply_async`, which can happen if there is an internal exception during the handling of the task. This update also marks the span as an error if an exception occurs.
- Fixes an issue where `celery.apply` spans using task_protocol 1 didn't close by improving the check for the task id in the body.
- Removes a reference cycle that caused unnecessary garbage collection for top-level spans.

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New Features
- Datastreams Monitoring (DSM): Adds support for schema tracking.
- Exception Replay will capture any exceptions that are manually attached to a span with a call to `set_exc_info`.
- LLM Observability: The LangChain integration now submits vectorstore `similarity_search` spans to LLM Observability as retrieval spans.
- langchain: Adds support for tracing tool invocations.
- LLM Observability: Adds support for capturing tool calls returned from LangChain chat completions.
- LLM Observability: Introduces the ability to set `ml_app` and `timestamp_ms` fields in `LLMObs.submit_evaluation`
- openai: Introduces `model` tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value as `openai.request.model`.

Deprecation Notes
- tracing: All public patch modules are deprecated. The non-deprecated methods are included in the `__all__` attribute.
- yaaredis: The yaaredis integration is deprecated and will be removed in a future version. As an alternative to the yaaredis integration, the redis integration should be used.
- tracing: Deprecates the `priority_sampling` argument in `ddtrace.tracer.Tracer.configure(...)`.

Bug Fixes
- library injection: Resolves an issue where the version of `attrs` installed by default on some Ubuntu installations was treated as incompatible with library injection
- anthropic: Resolves an issue where attempting to tag non-JSON serializable request arguments caused a `TypeError`. The Anthropic integration now safely tags non-JSON serializable arguments with a default placeholder text.
- postgres: Fixes circular imports raised when psycopg automatic instrumentation is enabled.
- ASM: Resolves an issue where exploit prevention was not properly blocking requests with custom redirection actions.
- CI Visibility: Resolves an issue where exceptions other than timeouts and connection errors raised while fetching the list of skippable tests for ITR were not being handled correctly and caused the tracer to crash.
- CI Visibility: Fixes a bug where `.git` was incorrectly being stripped from repository URLs when extracting service names, resulting in `g`, `i`, or `t` being removed (eg: `test-environment.git` incorrectly becoming `test-environmen`)
- botocore: Resolves a regression where trace context was not being injected into the input of Stepfunction `start_execution` commands. This re-enables distributed tracing when a Python service invokes a properly instrumented Step Function.
- LLM Observability: Resolves an issue where custom trace filters were being overwritten in forked processes.
- LLM Observability: Resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using `celery` or `gunicorn` workers. The LLM Observability writer thread now automatically restarts when a forked process is detected.
- tracing: Fixes a side-effect issue with module import callbacks that could cause a runtime exception.
- tracing: Fixes an issue with some module imports with native specs that don't support attribute assignments, resulting in a `TypeError` exception at runtime.
- tracing: Improves the accuracy of `X-Datadog-Trace-Count` payload header.
- tracing: Resolves an issue where `ddtrace` package files were published with incorrect file attributes.
- tracing: Resolves an issue where django db instrumentation could fail.
- LLM Observability: Resolves an issue where `session_id` was being defaulted to `trace_id`, which was causing unexpected UI behavior.
- openai: Fixes a bug where `asyncio.TimeoutError`s were not being propagated correctly from canceled OpenAI API requests.
- profiling: Propagates tags in `DD_PROFILING_TAGS` and `DD_TAGS` to the libdatadog exporter, a new exporter codepath which is enabled when either one of the following is set, `DD_PROFILING_STACK_V2_ENABLED`, `DD_PROFILING_EXPORT_LIBDD_ENABLED`, or `DD_PROFILING_TIMELINE_ENABLED` or dd-trace-py is running in an injected environment.
- ASM: Fixes a memory leak on the native slice aspect.

Other Changes
- tracing: Removes the `DD_PRIORITY_SAMPLING` configuration option. This option is not used in any `ddtrace>=2.0` releases.

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Bug Fixes
- Profiling
- Fixes an issue where stack v2 couldn't be enabled as pthread was not properly linked on some debian based images for aarch64 architecture.
- Tracing
- Resolves the issue where tracer flares would not be generated if unexpected types were received in the `AGENT_CONFIG` remote configuration product.

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Bug Fixes

- Code Security
- This fix resolves an issue where exploit prevention was not properly blocking requests with custom redirection actions.
- Ensure the `Initializer` object is always reset and freed before the Python runtime.

- LLM Observability
- Fixes an issue where the OpenAI and LangChain integrations would still submit integration metrics even in agentless mode. Integration metrics are now disabled if using agentless mode via `LLMObs.enable(agentless_enabled=True)` or setting `DD_LLMOBS_AGENTLESS_ENABLED=1`.
- Resolves an issue in the `LLMObs.annotate()` method where non-JSON serializable arguments were discarded entirely. Now, the `LLMObs.annotate()` method safely handles non-JSON-serializable arguments by defaulting to a placeholder text.
- Resolves an issue where attempting to tag non-JSON serializable request/response parameters resulted in a `TypeError` in the OpenAI, LangChain, Bedrock, and Anthropic integrations.
- Resolves an issue where attempting to tag non-JSON serializable request arguments caused a `TypeError`. The Anthropic integration now safely tags non-JSON serializable arguments with a default placeholder text.
- Resolves an issue where attempting to tag non-JSON serializable tool config arguments resulted in a `TypeError`. The LangChain integration now safely tags non-JSON serializable arguments with a default placeholder text.

- Profiling
- All files with platform-dependent code have had their filenames updated to reflect the platform they are for. This fixes issues where the wrong file would be used on a given platform.
- Improves the error message when the native exporter fails to load and stops profiling from starting if ddtrace is also being injected.
- Enables endpoint profiling for stack v2, `DD_PROFILING_STACK_V2_ENABLED` is set.
- Fixes endpoint profiling when using libdatadog exporter, either with `DD_PROFILING_EXPORT_LIBDD_ENABLED` or `DD_PROFILING_TIMELINE_ENABLED`.
- Enables code provenance when using libdatadog exporter, `DD_PROFILING_EXPORT_LIBDD_ENABLED`, `DD_PROFILING_STACK_V2_ENABLED`, or `DD_PROFILING_TIMELINE_ENABLED`.
- Fixes an issue where flamegraph was upside down for stack v2, `DD_PROFILING_STACK_V2_ENABLED`.

- Tracing
- Fixes an issue where `celery.apply` spans didn't close if the `after_task_publish` or `task_postrun` signals didn't get sent when using `apply_async`, which can happen if there is an internal exception during the handling of the task. This update also marks the span as an error if an exception occurs.
- Fixes an issue where `celery.apply` spans using task_protocol 1 didn't close by improving the check for the task id in the body.
- Fixes circular imports raised when psycopg automatic instrumentation is enabled.
- Removes a reference cycle that caused unnecessary garbage collection for top-level spans.
- Fixed an issue where a `TypeError` exception would be raised if the first message's `topic()` returned `None` during consumption.
- Kinesis: Resolves an issue where unparsable data in a Kinesis record would cause a NoneType error.

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Bug Fixes

- library injection: Resolves an issue where the version of `attrs` installed by default on some Ubuntu installations was treated as incompatible with library injection
- Code Security: This fixes a bug in the IAST patching process where `AttributeError` exceptions were being caught, interfering with the proper application cycle.


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Bug Fixes

- SSI: This fix ensures injection denylist is included in published OCI package.


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