ddtrace 2.9.0

on Python PyPI

New Features

• LLM Observability: This introduces the LLM Observability SDK, which enhances the observability of Python-based LLM applications. See the LLM Observability Overview or the SDK documentation for more information about this feature.

• ASM: Application Security Management (ASM) introduces its new "Exploit Prevention" feature in public beta, a new type of in-app security monitoring that detects and blocks vulnerability exploits. This introduces full support for exploit prevention in the python tracer.

  • LFI (via standard API open)
  • SSRF (via standard API urllib or third party requests)

  with monitoring and blocking features, telemetry, and span metrics reports.

• opentelemetry: Adds support for span events.

• tracing: Ensures the following OpenTelemetry environment variables are mapped to an equivalent Datadog configuration (datadog environment variables taking precedence in cases where both are configured):

  OTEL_SERVICE_NAME -> DD_SERVICE
  OTEL_LOG_LEVEL -> DD_TRACE_DEBUG
  OTEL_PROPAGATORS -> DD_TRACE_PROPAGATION_STYLE
  OTEL_TRACES_SAMPLER -> DD_TRACE_SAMPLE_RATE
  OTEL_TRACES_EXPORTER -> DD_TRACE_ENABLED
  OTEL_METRICS_EXPORTER -> DD_RUNTIME_METRICS_ENABLED
  OTEL_RESOURCE_ATTRIBUTES -> DD_TAGS
  OTEL_SDK_DISABLED -> DD_TRACE_OTEL_ENABLED
  

• otel: Adds support for generating Datadog trace metrics using OpenTelemetry instrumentations

• aiomysql, asyncpg, mysql, mysqldb, pymysql: Adds Database Monitoring (DBM) for remaining mysql and postgres integrations lacking support.

• (aiomysql, aiopg): Implements span service naming determination to be consistent with other database integrations.

• ASM: This introduces the capability to enable or disable SCA using the environment variable DD_APPSEC_SCA_ENABLED. By default this env var is unset and in that case it doesn't affect the product.

• Code Security: Taints strings from gRPC messages.

• botocore: This introduces tracing support for bedrock-runtime embedding operations.

• Vulnerability Management for Code-level (IAST): Enables IAST in the application. Needed to start application with ddtrace-run [your-application-run-command] prior to this release. Now, you can also activate IAST with the patch_all function.

• langchain: This adds tracing support for LCEL (LangChain Expression Language) chaining syntax. This change specifically adds synchronous and asynchronous tracing support for the invoke and batch methods.

Known Issues

• Code Security: Security tracing for the builtins.open function is experimental and may not be stable. This aspect is not replaced by default.
• grpc: Tracing for the grpc.aio clients and servers is experimental and may not be stable. This integration is now disabled by default.

Upgrade Notes

• aiopg: Upgrades supported versions to >=1.2. Drops support for 0.x versions.

Deprecation Notes

• LLM Observability: DD_LLMOBS_APP_NAME is deprecated and will be removed in the next major version of ddtrace. As an alternative to DD_LLMOBS_APP_NAME, you can use DD_LLMOBS_ML_APP instead. See the SDK setup documentation for more details on how to configure the LLM Observability SDK.

Bug Fixes

• opentelemetry: Records exceptions on spans in a manner that is consistent with the otel specification
• ASM: Resolves an issue where an org could not customize actions through remote config.
• Resolves an issue where importing asyncio after a trace has already been started will reset the currently active span.
• grpc: Fixes a bug in the grpc.aio integration specific to streaming responses.
• openai: Resolves an issue where specifying n=None for streamed chat completions resulted in a TypeError.
• openai: Removes patching for the edits and fine tunes endpoints, which have been removed from the OpenAI API.
• openai: Resolves an issue where streamed OpenAI responses raised errors when being used as context managers.
• tracing: Fixes an issue where DD_TRACE_SPAN_TRACEBACK_MAX_SIZE was not applied to exception tracebacks.
• Code Security: Ensures IAST propagation does not raise side effects related to Magic methods.
• Code Security: Fixes a potential memory corruption when the context was reset.
• langchain: Resolves an issue where specifying inputs as a keyword argument for batching on chains caused a crash.
• Code Security: Avoids calling terminate on the extend and join aspect when an exception is raised.
• botocore: Adds additional key name checking and appropriate defaults for responses from Cohere and Amazon models.
• telemetry: Resolves an issue when using pytest + gevent where the telemetry writer was eager initialized by pytest entry points loading of our plugin causing a potential dead lock.
• Code Security: Fixes a bug in the AST patching process where ImportError exceptions were being caught, interfering with the proper application cycle if an ImportError was expected."
• RemoteConfig: Resolves an issue where remote config did not work for the tracer when using an agent that would add a flare item to the remote config payload. With this fix, the tracer will now correctly pull out the lib_config we need from the payload in order to implement remote config changes properly.
• Code Security: Fixes setting the wrong source on map elements tainted from taint_structure.
• Code Security: Fixes an issue where the AST patching process fails when the origin of a module is reported as None, raising a FileNotFoundError.
• CI Visibility: Fixes an issue where tests were less likely to be skipped due to ITR skippable tests requests timing out earlier than they should
• Code Security: Solves an issue with fstrings where formatting was not applied to int parameters
• tracing: Resolves an issue where sampling rules were not matching correctly on float values that had a 0 decimal value. Sampling rules now evaluate such values as integers.
• langchain: Resolves an issue where the LangChain integration always attempted to patch LangChain partner
  libraries, even if they were not available.
• langchain: Resolves an issue where tracing Chain.invoke() instead of Chain.__call__() resulted in the an ArgumentError due to an argument name change for inputs between the two methods.
• langchain: Adds error handling for checking if a traced LLM or chat model is an OpenAI instance, as the langchain_community package does not allow automatic submodule importing.
• internal: Resolves an error regarding the remote config module with payloads missing a lib_config entry
• profiling: Fixes a bug that caused the HTTP exporter to crash when attempting to serialize tags.
• grpc: Resolves segfaults raised when grpc.aio interceptors are registered
• Code Security (IAST): Fixes an issue with AES functions from the pycryptodome package that caused the application to crash and stop.
• Code Security: Ensures that when tainting the headers of a Flask application, iterating over the headers (i.e., with headers.items()) does not duplicate them.
• Vulnerability Management for Code-level (IAST): Some native exceptions were not being caught correctly by the python tracer. This fix removes those exceptions to avoid fatal error executions.
• kafka: Resolves an issue where an empty message list returned from consume calls could cause crashes in the Kafka integration. Empty lists from consume can occur when the call times out.
• logging: Resolves an issue where tracer.get_log_correlation_context() incorrectly returned a 128-bit trace_id even with DD_TRACE_128_BIT_TRACEID_LOGGING_ENABLED set to False (the default), breaking log correlation. It now returns a 64-bit trace_id.
• profiling: Fixes a defect where the deprecated path to the Datadog span type was used by the profiler.
• Profiling: Resolves an issue where the profiler was forcing protobuf to load in injected environments,
  causing crashes in configurations which relied on older protobuf versions. The profiler will now detect when injection is used and try loading with the native exporter. If that fails, it will self-disable rather than loading protobuf.
• pymongo: Resolves an issue where the library raised an error in pymongo.pool.validate_session
• ASM: Resolves an issue where lfi attack on request path was not always detected with flask and uwsgi.
• ASM: Removes non-required API security metrics.
• instrumentation: Fixes crashes that could occur in certain integrations with packages that use non-integer components in their version specifiers