2.14.6

Bug Fixes

• Profiling

  • Fixes an issue where enabling native exporter via DD_PROFILING_EXPORT_LIBDD_ENABLED, DD_PROFILING_TIMELINE_ENABLED or DD_PROFILING_STACK_V2_ENABLED turned off live heap profiling.
  • Fixes an issue where the profiler was allocating too much memory from ensure_binary_or_empty() function, on Python versions before 3.12, with DD_PROFILING_EXPORT_LIBDD_ENABLED or DD_PROFILING_TIMELINE_ENABLED.
  • When a Python thread finishes, this change frees memory used for mapping its thread id to Span. The mapping is populated and used when DD_PROFILING_ENDPOINT_COLLECTION_ENABLED and DD_PROFILING_STACK_V2_ENABLED were set to enable grouping of profiles for endpoints.
  • Resolves an issue where asyncio task names are not captured by stack v2, when DD_PROFILING_STACK_V2_ENABLED is set.

• Tracing

  • pymongo: Adds type checking to solve an issue where NoneType instead of expected Pin object would throw an error in TracedTopology method.

2.16.0

New Features

• LLM Observability

  • When starting LLM and embedding spans, the model_name argument is now optional and will default to custom. This applies to both inline methods (e.g. LLMObs.llm()) and function decorators (e.g. @llm).
  • Introduces the ability to add metadata for evaluation metrics via the submit_evaluation method. For more information, see submitting evaluations with the SDK.

• Tracing

  • Introduces support for Baggage as defined by the OpenTelemetry specification.
  • botocore: Adds span pointers for successful DynamoDB BatchWriteItem spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the PutRequest items.
  • botocore: Adds span pointers for successful DynamoDB TransactWriteItems spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the Put items.
  • botocore: Adds ddtrace.config.botocore.add_span_pointers option or the DD_BOTOCORE_ADD_SPAN_POINTERS environment variable to control adding span pointers to some successful AWS API requests. This option is enabled by default.

Bug Fixes

• CI Visibility

  • Fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)
  • Fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)

• Code Security

  • Resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError

• Dynamic Instrumentation

  • Fixes an issue that prevented dynamic span tags probes from adding the requested tags to the requested span.

• LLM Observability

  • Resolves two issues with annotation contexts:
    • annotations registered via annotation contexts were being applied globally. Annotations are now only applied to the current trace context and do not pollute to other threads & processes.
    • annotations from nested annotation contexts were applied in a non-deterministic order. Annotations are now applied in the order they were registered.
  • Resolves an issue where input and output values equal to zero were not being annotated on workflow, task, agent and tool spans when using LLMObs.annotate.
  • Resolves errors where the disabled setting was being ignored when forking.

• Profiling

  • Fixes a data race where span information associated with a thread was read and updated concurrently, leading to segfaults.
  • Fixes an issue where enabling native exporter via DD_PROFILING_EXPORT_LIBDD_ENABLED, DD_PROFILING_TIMELINE_ENABLED or DD_PROFILING_STACK_V2_ENABLED turned off live heap profiling.
  • When a Python thread finishes, this change frees memory used for mapping its thread id to Span. The mapping is populated and used when DD_PROFILING_ENDPOINT_COLLECTION_ENABLED and DD_PROFILING_STACK_V2_ENABLED were set to enable grouping of profiles for endpoints.
  • Resolves an issue where asyncio task names are not captured by stack v2, when DD_PROFILING_STACK_V2_ENABLED is set.
  • Resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.

• Tracing

  • Resolves the issue where tracer flares would not be generated if unexpected types were received in the AGENT_CONFIG remote configuration product.
  • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.

Other Changes

• LLM Observability
  • Updates the merging behavior for tags when LLMObs.annotate is called multiple times on the same span so that the latest value for a tag key overrides the previous value.

2.16.0rc2

Bug Fixes

• Code Security
  • Resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError
• Profiling
  • Fixes a data race where span information associated with a thread was read and updated concurrently, leading to segfaults
  • Fixes an issue where enabling native exporter via DD_PROFILING_EXPORT_LIBDD_ENABLED, DD_PROFILING_TIMELINE_ENABLED or DD_PROFILING_STACK_V2_ENABLED turned off live heap profiling.
  • When a Python thread finishes, this change frees memory used for mapping its thread id to Span. The mapping is populated and used when DD_PROFILING_ENDPOINT_COLLECTION_ENABLED and DD_PROFILING_STACK_V2_ENABLED were set to enable grouping of profiles for endpoints.

2.13.3

Bug Fixes

• CI Visibility

  • Fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)
  • Fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)

• Code security

  • Resolves an issue where partial matches on function names we aimed to patch were being patched instead of full matches on them.
  • Resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError

• LLM Observability

  • Resolves an issue where LLM Observability evaluation metrics were not being submitted in forked processes. The evaluation metric writer thread now automatically restarts when a forked process is detected.
  • Resolves an issue where input and output values equal to zero were not being annotated on workflow, task, agent and tool spans when using LLMObs.annotate.

• Profiling

  • Improves the error message when the native exporter fails to load and stops profiling from starting if ddtrace is also being injected.
  • Fixes a data race where span information associated with a thread was read and updated concurrently, leading to segfaults
  • Resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.

• Tracing

  • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.

2.15.1

Bug Fixes

• LLM Observability: This fix resolves two issues with annotation contexts:
  - annotations registered via annotation contexts were being applied globally. Annotations are now only applied to the current trace context and do not pollute to other threads & processes.
  - annotations from nested annotation contexts were applied in a non-deterministic order. Annotations are now applied in the order they were registered.

• CI Visibility: fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)

• CI Visibility: fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)

• dynamic instrumentation: Fixes an issue that prevented dynamic span tags probes from adding the requested tags to the requested span.

• Code Security: This fix resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError

• profiling: fix a data race where span information associated with a thread was read and updated concurrently, leading to segfaults

• profiling: resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.

Other Changes

• LLM Observability: Updates the merging behavior for tags when LLMObs.annotate is called multiple times on the same span so that the latest value for a tag key overrides the previous value.

2.14.5

Bug Fixes

• LLM Observability: This fix resolves an issue where LLMObs.enable() did not patch google_generativeai library.
• CI Visibility: fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)
• CI Visibility: fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)
• elasticsearch: this fix resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.
• Code security: This fix resolves an issue where partial matches on function names we aimed to patch were being patched instead of full matches on them.
• Code Security: This fix resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError
• profiling: Improves the error message when the native exporter fails to load and stops profiling from starting if ddtrace is also being injected.
• profiling: fix a data race where span information associated with a thread was read and updated concurrently, leading to segfaults
• profiling: resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.

2.16.0rc1

New Features

• LLM Observability

  • When starting LLM and embedding spans, the model_name argument is now optional and will default to custom. This applies to both inline methods (e.g. LLMObs.llm()) and function decorators (e.g. @llm).
  • Introduces the ability to add metadata for evaluation metrics via the submit_evaluation method. For more information, see submitting evaluations with the SDK.

• Tracing

  • Introduces support for Baggage as defined by the OpenTelemetry specification.
  • botocore: Adds span pointers for successful DynamoDB BatchWriteItem spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the PutRequest items.
  • botocore: Adds span pointers for successful DynamoDB TransactWriteItems spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the Put items.
  • botocore: Adds ddtrace.config.botocore.add_span_pointers option or the DD_BOTOCORE_ADD_SPAN_POINTERS environment variable to control adding span pointers to some successful AWS API requests. This option is enabled by default.
  • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.

Bug Fixes

• CI Visibility

  • Fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)
  • Fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)

• Dynamic Instrumentation

  • Fixes an issue that prevented dynamic span tags probes from adding the requested tags to the requested span.

• LLM Observability

  • Resolves two issues with annotation contexts:
    • annotations registered via annotation contexts were being applied globally. Annotations are now only applied to the current trace context and do not pollute to other threads & processes.
    • annotations from nested annotation contexts were applied in a non-deterministic order. Annotations are now applied in the order they were registered.
  • Resolves an issue where input and output values equal to zero were not being annotated on workflow, task, agent and tool spans when using LLMObs.annotate.
  • Resolves errors where the disabled setting was being ignored when forking.

• Profiling

  • Resolves an issue where asyncio task names are not captured by stack v2, when DD_PROFILING_STACK_V2_ENABLED is set.
  • Resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.

• Tracing

  • Resolves the issue where tracer flares would not be generated if unexpected types were received in the AGENT_CONFIG remote configuration product.

Other Changes

• LLM Observability
  • Updates the merging behavior for tags when LLMObs.annotate is called multiple times on the same span so that the latest value for a tag key overrides the previous value.

2.15.0

New Features

• LLM Observability

  • Introduces prompt and name arguments to LLMObs.annotation_context to support setting an integration generated span's name and prompt field. For more information on annotation contexts, see the docs here.
  • langchain: Adds support for tracing stream calls on LCEL chains, chat completion models, or completion models. Note that due to an upstream issue with the langchain library itself, streamed responses will not be tagged correctly based on the choice index when the underlying model is configured to return n>1 choices. Please refer to this GitHub issue for more details.
  • LangChain streamed calls (llm.stream, chat_model.stream, and chain.stream) submit to LLM Observability.

• CI Visibility

  • Adds the test_session.name tag to test events. The test session name can be set via the DD_TEST_SESSION_NAME environment variable. If DD_TEST_SESSION_NAME is not specified, the test session name is set from the CI job id and the test command.

• Tracing

  • Introduces Code Origin for Span, a new feature that allows collecting information about where entry and exit spans have been created in the user code . This feature is disabled by default and can be enabled by setting the DD_CODE_ORIGIN_FOR_SPANS_ENABLED environment variable to true.
  • botocore: Adds span pointers for successful DynamoDB DeleteItem spans.
  • botocore: Adds span pointers for successful DynamoDB PutItem spans. Table Primary Keys need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable.
  • botocore: Adds span pointers for successful DynamoDB UpdateItem spans.
  • botocore: Adds span pointers for successful S3 CompleteMultipartUpload spans.
  • botocore: Adds span pointers for successful S3 CopyObject spans.
  • Adds DD_TRACE_HTTP_CLIENT_ERROR_STATUSES environment variable to configure the list of HTTP status codes that should be considered errors when instrumenting HTTP servers.

Deprecation Notes

• Tracing
  • The following attributes are now private and should not be accessed directly. The corresponding environment variables should be used instead.
    • Use DD_TRACE_HTTP_CLIENT_TAG_QUERY_STRING instead of ddtrace.config.http_tag_query_string
    • Use DD_TRACE_HEADER_TAGS instead of ddtrace.config.trace_http_header_tags
    • Use DD_TRACE_REPORT_HOSTNAME instead of ddtrace.config.report_hostname
    • Use DD_TRACE_HEALTH_METRICS_ENABLED instead of ddtrace.config.health_metrics_enabled
    • Use DD_TRACE_ANALYTICS_ENABLED instead of ddtrace.config.analytics_enabled
    • Use DD_TRACE_CLIENT_IP_HEADER instead of ddtrace.config.client_ip_header
    • Use DD_TRACE_CLIENT_IP_ENABLED instead of ddtrace.config.retrieve_client_ip
    • Use DD_TRACE_PROPAGATION_HTTP_BAGGAGE_ENABLED instead of ddtrace.config.propagation_http_baggage_enabled
    • Set DD_TRACE_OBFUSCATION_QUERY_STRING_REGEXP to an empty string instead of setting ddtrace.config.global_query_string_obfuscation_disabled to True (default value is False)
    • Use DD_TRACE_METHODS instead of ddtrace.config.trace_methods
    • Use DD_CIVISIBILITY_LOG_LEVEL instead of ddtrace.config.ci_visibility_log_level
  • Deprecates the DD_TRACE_SAMPLE_RATE environment variable. It will be removed in 3.0.0. Use DD_TRACE_SAMPLING_RULES to configure sampling rates instead.
  • DD_TRACE_API_VERSION=v0.3 is deprecated. Use v0.4 or v0.5 instead.

Bug Fixes

• Code security

  • Resolves an issue where partial matches on function names we aimed to patch were being patched instead of full matches on them.
  • 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.
  • Ensures that only the IAST propagation context is cleared instead of all contexts, which could otherwise cause propagation loss in multithreaded applications. Additionally, it improves validations in both the Processor and Vulnerability Reporter, depending on whether IAST is active or not.
  • Ensures IAST propagation does not raise side effects related to re.finditer.

• LLM Observability

  • Resolves an issue where LLMObs.enable() did not patch google_generativeai library.
  • botocore: Fixes the bedrock model and model provider interpretation from modelId when using cross-region inference.
  • Resolves an issue where LLM Observability evaluation metrics were not being submitted in forked processes. The evaluation metric writer thread now automatically restarts when a forked process is detected.
  • The OpenAI, LangChain, Anthropic, Bedrock, and Gemini integrations now will handle and log errors during LLM Observability span processing to avoid disrupting user applications.

• Profiling

  • Improves the error message when the native exporter fails to load and stops profiling from starting if ddtrace is also being injected.
  • 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.
  • Fixes endpoint profiling for stack v2, when 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 with DD_PROFILING_EXPORT_LIBDD_ENABLED, DD_PROFILING_STACK_V2_ENABLED, or DD_PROFILING_TIMELINE_ENABLED.
  • Fixes an issue where stack v2 couldn't be enabled as pthread was not properly linked on some debian based images for aarch64 architecture.
  • Fixes an issue where the flame graph was upside down for stack v2 with DD_PROFILING_STACK_V2_ENABLED.

• Tracing

  • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.
  • Resolves the issue where tracer flares would not be generated if unexpected types were received in the AGENT_CONFIG remote configuration product.
  • celery: 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.
  • celery: 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.
  • Ensures that http.url span tag contains the full query string when DD_TRACE_OBFUSCATION_QUERY_STRING_REGEXP is set to an empty string.
  • Ensures DD_TRACE_RATE_LIMIT environment variable is only applied to spans for which tracer sampling is configured. For spans not matching sampling rules default rate limits should be applied by the Datadog Agent.

• Other

  • Updates import path in FastAPI module to use the new ASGI module location.

Other Changes

• Code Security
  • Update default security rules to 1.13.1. This enable Exploit Prevention powered by RASP for LFI and Command Injection by default when ASM is enabled.

2.15.0rc3

Bug Fixes

• Tracing
  • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.

2.15.0rc2

Bug Fixes

• Tracing
  • Resolves the issue where tracer flares would not be generated if unexpected types were received in the AGENT_CONFIG remote configuration product.