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@dependabot dependabot bot commented on behalf of github Sep 29, 2025

Bumps ddtrace from 3.14.4 to 3.15.0.

Release notes

Sourced from ddtrace's releases.

3.15.0

Estimated end-of-life date, accurate to within three months: 08-2026 See the support level definitions for more information.

New Features

  • google-adk: Adds APM tracing and LLM Observability support for the Google ADK library (google-adk). Support includes APM tracing and LLM Observability for agent runs, tool calls, and code execution.
  • django: This introduces the DD_DJANGO_TRACING_MINIMAL environment variable for performance-sensitive applications. When enabled, this disables Django ORM, cache, and template instrumentation while keeping middleware instrumentation enabled. This significantly reduces overhead by removing Django-specific spans while preserving visibility into the underlying database drivers, cache clients, and other integrations. For example, with this enabled, Django ORM query spans are disabled but database driver spans (e.g., psycopg, MySQLdb) will still be created. To enable minimal tracing, set DD_DJANGO_TRACING_MINIMAL=true.
  • AWS: adds aws.partition tag onto AWS traces based on the region for the boto, botocore, and aiobotocore integrations.
  • AAP: This extends downstream request analysis (API10) to the requests package. Previously, downstream request analysis was only supported in the standard cpython api (urllib).
  • dynamic instrumentation/exception replay/code origin for spans: added support for the latest Datadog agent intake for snapshots. This requires a minimum agent version of 7.49.0.
  • CI Visibility: This introduces the env var DD_CIVISIBILITY_ENABLED (with default value True) so it can be disabled to avoid sending traces to the Test Visibility product from the test runners.
  • azure_servicebus: Add distributed tracing support for sending batches with Azure Service Bus producers.
  • azure_functions: Use span links to connect Service Bus trigger consumers to the producers that send the messages.
  • tracing: Added support for resource renaming, an experimental feature that lets the Datadog platform adjust the resource field on web request spans when the endpoint cannot be correctly deduced. Enable the feature by setting DD_TRACE_RESOURCE_RENAMING_ENABLED="true"
  • Code Security (IAST)
    • Untrusted Serialization detection, which will be displayed on your DataDog Vulnerability Explorer dashboard. See the Application Vulnerability Management documentation for more information about this feature.
    • Reduce false positives if md5 or sha1 functions have the parameter usedforsecurity=False.
  • LLM Observability: Extends the prompt structure to add tags and chat_template, and a new Prompt TypedDict class that would be used in annotation and annotation_context.

Bug Fixes

  • CI Visibility: This fix solves an issue where the ITR skip count metric was aggregating skipped tests even when skipping level was set to suite. It will now count appropriately (skipped suites or skipped tests) depending on ITR skip level.
  • sampling: This change prevents the DatadogSampler from getting recreated whenever the SpanAggregator is reset, and instead updates the rate limiter that the sampler uses.
  • dynamic instrumentation: fix an issue that prevented multiple probes on the same location from being instrumented.
  • exception replay
    • prevent Celery from crashing when a task raises a custom exception with mandatory arguments.
    • ensure that value capture starts from the leaf frame of the innermost exception.
  • tracing: Fixes encoding bytes objects as span attributes by truncating byte string, rather than throwing PyErr_Format.
  • AAP
    • This fix resolves an issue where the endpoint discovery feature could generate a crash for flask at startup.
    • This fix disables grpc threat monitoring, as it could generate false positives.
  • libinjection: allow python module executed with -m entries in the denylist.
  • profiling
    • Upgrades echion to resolve segmentation faults that can happen on services with a lot of asyncio.Tasks.
    • Fix crash in memory profiling when garbage collection is triggered while sampling a PyObject_Realloc call, which can lead to accessing freed memory.
    • Profiling won't load if --skip-atexit is not set when --lazy or --lazy-apps is set on uWSGI<2.0.30. This is to prevent crashes from profiling native extension modules. See unbit/uwsgi#2726 for details.
  • RemoteConfig: Fixes an issue introduced in Python 3.13 where creating a shared array with the c_char type raised a TypeError, this now uses the 'c' typecode for better compatibility across versions.
  • source code integration: check that DD_GIT_COMMIT_SHA and DD_GIT_REPOSITORY_URL are defined before using the git command.

3.15.0rc1

Estimated end-of-life date, accurate to within three months: 08-2026 See the support level definitions for more information.

New Features

  • google-adk: Adds APM tracing and LLM Observability support for the Google ADK library (google-adk). Support includes APM tracing and LLM Observability for agent runs, tool calls, and code execution.
  • django: This introduces the DD_DJANGO_TRACING_MINIMAL environment variable for performance-sensitive applications. When enabled, this disables Django ORM, cache, and template instrumentation while keeping middleware instrumentation enabled. This significantly reduces overhead by removing Django-specific spans while preserving visibility into the underlying database drivers, cache clients, and other integrations. For example, with this enabled, Django ORM query spans are disabled but database driver spans (e.g., psycopg, MySQLdb) will still be created. To enable minimal tracing, set DD_DJANGO_TRACING_MINIMAL=true.
  • AWS: adds aws.partition tag onto AWS traces based on the region for the boto, botocore, and aiobotocore integrations.
  • AAP: This extends downstream request analysis (API10) to the requests package. Previously, downstream request analysis was only supported in the standard cpython api (urllib).

... (truncated)

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 29, 2025
@dependabot dependabot bot requested a review from a team as a code owner September 29, 2025 10:06
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 29, 2025
Bumps [ddtrace](https://github.com/DataDog/dd-trace-py) from 3.14.4 to 3.15.0.
- [Release notes](https://github.com/DataDog/dd-trace-py/releases)
- [Changelog](https://github.com/DataDog/dd-trace-py/blob/main/CHANGELOG.md)
- [Commits](DataDog/dd-trace-py@v3.14.4...v3.15.0)

---
updated-dependencies:
- dependency-name: ddtrace
  dependency-version: 3.15.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/ddtrace-3.15.0 branch from 5afb8e6 to 650a61b Compare September 30, 2025 09:04
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