ddtrace 4.8.0rc5

on Python PyPI

Estimated end-of-life date, accurate to within three months: 05-2027
See the support level definitions for more information.

Upgrade Notes

• claude_agent_sdk: Tool span resource names have changed from the tool name (e.g. Read, Bash) to claude_agent_sdk.tool. The specific tool name is still available in the span name (e.g. claude_agent_sdk.tool.Read). Users relying on tool resource names should update them accordingly.

• ray: Adds DD_TRACE_RAY_SUBMISSION_SPANS_ENABLED (default: False) configuration to control Ray submission tracing. Set DD_TRACE_RAY_SUBMISSION_SPANS_ENABLED=true to trace task.submit and actor_method.submit spans. Leave it unset to trace only execution spans. See Ray integration documentation for more details.

New Features

• AI Guard: Add DD_AI_GUARD_BLOCK environment variable. Defaults to True, which means the blocking behavior configured in the Datadog AI Guard UI (in-app) will be honored. Set to False to force monitor-only mode locally: evaluations are still performed but AIGuardAbortError is never raised, regardless of the in-app blocking setting.

• AI Guard response objects now include a dict field tag_probs with the probabilities for each tag.

• CI Visibility: Adds Bazel offline execution support with two modes: manifest mode (DD_TEST_OPTIMIZATION_MANIFEST_FILE), which reads settings and test data from pre-fetched cache files without network access; and payload-files mode (DD_TEST_OPTIMIZATION_PAYLOADS_IN_FILES), which writes test event, coverage, and telemetry payloads as JSON files instead of sending HTTP requests. Both modes can be used independently or together.

• LLM Observability: Captures individual LLM spans for each Claude model turn within a Claude Agent SDK session. Each LLM span captures the input messages, output messages, model name, and token usage metrics (for claude_agent_sdk >= 0.1.49).

• AAP: This adds Application Security support for FastAPI and Starlette applications using mounted sub-applications (via app.mount()). WAF evaluation, path parameter extraction, API endpoint discovery, and http.route reporting now correctly account for mount prefixes in sub-application routing.

• google_cloud_pubsub: This adds tracing for Google Cloud Pub/Sub admin operations on topic, subscription, snapshot, and schema management methods.

• google_cloud_pubsub: Adds support for Google Cloud Pub/Sub push subscriptions. When a push subscription delivers a message via HTTP, the integration now creates an inferred gcp.pubsub.receive span that captures subscription and message metadata. Use DD_GOOGLE_CLOUD_PUBSUB_PROPAGATION_AS_SPAN_LINKS to control whether the inferred span becomes a child of the producer trace or starts a new trace with the producer context attached as a span link (default: False).

• LLM Observability: Add ExperimentRun.as_dataframe() to convert experiment run results into a pandas.DataFrame with a two-level MultiIndex on columns. Each top-level group (input, output, expected_output, evaluations, metadata, error, span_id, trace_id) maps to the first index level. Dict-valued fields are flattened one level deep; scalar fields use an empty string as the sub-column name. Each evaluator gets its own column containing the full evaluation result dict. Requires pandas to be installed (pip install pandas).

• LLM Observability: Adds an eval_scope parameter to LLMObs.submit_evaluation() (one of "span" (default) or "trace"). Use eval_scope="trace" to associate an evaluation with an entire trace by passing the root span context.

• LLM Observability: Adds LLMObs.get_spans() to retrieve span events from the Datadog platform API (GET /api/v2/llm-obs/v1/spans/events). Supports filtering by trace ID, span ID, span kind, span name, ML app, tags, and time range. Results are auto-paginated. Requires DD_API_KEY and DD_APP_KEY.

• profiling: Profiles generated from fork-based servers now include a process_type tag with the value main or worker.

• tracing: Support for making the default span name for @tracer.wrap include the class name has been added. For now, this is opt-in and can be enabled by setting DD_TRACE_WRAP_SPAN_NAME_INCLUDE_CLASS=true. The new naming will become the default in the next major release.

Bug Fixes

• CI visibility: This fix resolves issues where CI provider metadata could omit pull request base branch and head commit details or report incorrect pull request values for some providers.

• AAP: This fix resolves an issue where Application and API Protection (AAP) was incorrectly reported as an enabled product in internal telemetry for all services by default. Previously, registering remote configuration listeners caused AAP to be reported as activated even when it was not actually enabled. This had no impact on customers as it only affected internal telemetry data. AAP is now only reported as activated when it is explicitly enabled or enabled through remote configuration.

• asgi: Fixed an issue caused network.client.ip and http.client_ip span tags being missing for FastAPI.

• iast: A crash has been fixed.

• lambda: Fixes a spurious Unable to create shared memory warning on every AWS Lambda cold start.

• LLM Observability: Fixes an issue where an APM_TRACING remote configuration payload that did not include an llmobs section would disable LLM Observability on services where it had been enabled programmatically via LLMObs.enable(). Services that enabled LLM Observability via the DD_LLMOBS_ENABLED environment variable were unaffected. The handler now only changes LLM Observability state when the remote configuration payload explicitly carries an llmobs.enabled directive.

• LLM Observability: Fixes a circular import in ddtrace.llmobs._writer when anthropic, openai, and botocore is installed.

• Prevent potential crashes when the client library fails to restart a worker thread due to hitting a system resource limit.

• internal: This fix resolves an issue where reading unknown attributes from ddtrace.internal.process_tags caused a KeyError instead of raising an AttributeError.

• rq: Fixes compatibility with RQ 2.0. Replaces the removed Job.get_id() with the job.id property, and handles Job.get_status() now raising InvalidJobOperation for expired jobs (e.g. result_ttl=0) instead of returning None. #16682

• tornado: Fixes an issue where routes inside a nested Tornado application were matched in reverse declaration order, causing a catch-all pattern to win over a more-specific route defined before it. This resulted in incorrect http.route tags on spans.

• tornado: The http.route tag is now populated for routes whose regex cannot be reversed by Tornado (e.g. patterns containing non-capturing groups such as (?:a|b)). Capturing groups are still rendered as %s, consistent with Tornado's own route format, while non-capturing constructs are kept verbatim.

• telemetry: This fix resolves an issue where unhandled exceptions raised by importlib.metadata during interpreter shutdown (for example, when Gunicorn workers exit uncleanly after a failed startup) caused update_imported_dependencies to surface errors through sys.excepthook. Failures while discovering dependencies for the app-dependencies-loaded telemetry payload are now logged at debug level and swallowed so they no longer propagate out of the dependency-reporting path.

• profiling: Fixes noise caused by the profiler attempting to load its native module even when profiling was disabled,

• profiling: A race condition which could make asyncio code raise exceptions at exit has been fixed.

• remote_config: This fix resolves an issue where brief Datadog Agent connection errors could drop Remote Configuration polls, causing products such as Dynamic Instrumentation to temporarily appear disabled.

• LLM Observability: Change the default model_provider and model_name to "unknown" from "custom" when a model did not match any known provider prefix in the Google GenAI, VertexAI, and Google ADK integrations.

• LLM Observability: This fix resolves tracing issues for pydantic-ai >= 1.63.0 where tool spans and agent instructions were not being properly captured. This fix adds tracing to the ToolManager.execute_tool_call method for newer versions of the library to resolve this issue.

Other Changes

• remote config: Removes noisy warning log that was being emitted when an unsupported agent config payload was received.

• ASM: Update default security rules to 1.18.0. Notably, this adds business logic event coverage for Stripe auto-instrumentation and expands WAF rule coverage (ZipSlip detection, file upload with double extension, broader header scanning, and expanded XXE detection).