Removes unused snapshots from now-removed v0 tests.

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- Introduces the following breaking changes to tracing components:
- Removes deprecated parameters from ``Tracer.configure(...)`` method
and removes the ``Tracer.sampler`` attribute.
- Drops support for multiple tracer instances, ``ddtrace.trace.Tracer``
can not be reinitialized.
   - Removes the deprecated ``Span.sampled`` property
- Drops support for configuring sampling rules using functions and regex
in the
  ``ddtrace.tracer.sampler.rules[].choose_matcher(...)`` method
and removes the ``timestamp_ns`` parameter from
``ddtrace.internal.rate_limiter.RateLimiter.is_allowed()``.
- Drops support for configuring ``DD_TRACE_METHODS`` with the '[]'
notation. Ensure DD_TRACE_METHODS use the ':' notation instead".
- Removes the deprecated ``ddtracer`` parameter from
``ddtrace.opentracer.tracer.Tracer()``.

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… leak (#12081)

This PR adds the environment variable
``DD_AIOHTTP_CLIENT_DISABLE_STREAM_TIMING_FOR_MEM_LEAK`` to address a
potential memory leak in the aiohttp integration. When set to true, this
flag may cause streamed response span timing to be inaccurate. The flag
defaults to false.

When this was merged #7551 we
essentially added support for getting the correct timing of streamed
responses, however it also caused us to sometimes never close spans,
which lead to a memory leak. When set to true, this flag essentially
reverts that behavior.


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…ogging (#12193)

Removes unneeded forksafe unregister hook. The unregister is not needed,
because we never actually registered the hook to begin with.

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This PR removes integration metrics and logs from the OpenAI
integration.

Prompt-completion logs were always experimental, rarely used, and
unofficially deprecated since the release of LLM Observability. For any
customers looking to continue getting visibility into their OpenAI call
prompt/completions, we are now pushing to migrate over to use LLM
Observability instead.

Operational Integration metrics can either be replaced with LLM
Observability or APM trace metrics instead. The only caveat of using LLM
Observability is for customers who may not want prompt/completion
logging, and the only caveat of using APM trace metrics is that token
metrics will not be included, primarily only operation metrics.

[](https://datadoghq.atlassian.net/browse/MLOB-2186)

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This PR removes integration metrics and logs from the langchain
integration.

Prompt-completion logs were always experimental, rarely used, and
unofficially deprecated since the release of LLM Observability. For any
customers looking to continue getting visibility into their langchain
call prompt/completions, we are now pushing to migrate over to use LLM
Observability instead.

Operational Integration metrics can either be replaced with LLM
Observability or APM trace metrics instead. The only caveat of using LLM
Observability is for customers who may not want prompt/completion
logging, and the only caveat of using APM trace metrics is that token
metrics will not be included, primarily only operation metrics.

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xss vulnerability for jinja2 template engine

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IAST taint source Header wouldn't work correctly in `werkzeug>=3.1.0`

We're tainting `EnvironHeaders.__getitem__` due to get method calls to
`__getitem__`

https://github.com/pallets/werkzeug/blob/2.3.8/src/werkzeug/datastructures/headers.py
but now the `__getitem__` and `get` methods of `EnvironHeaders` are
completely differents:

https://github.com/pallets/werkzeug/blob/main/src/werkzeug/datastructures/headers.py

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…rics (#12223)

[applying #12026 to
3.x-staging]

This PR generalizes the helper method used to extract token metrics from
an APM span to be attached to an LLMObs span. Before, Anthropic,
Bedrock, and Open AI had specific methods on each of their integration
classes to accomplish this. Now, there is one get_llmobs_metrics_tags
utils function adapted from the google-specific
get_llmobs_metrics_tags_google function that gets reused across these
integrations as well as Vertex AI and Gemini. The Langchain integration
was excluded from this change since its logic for extracting token
metrics varies significantly compared to the other integrations.

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---------

Co-authored-by: Nicole Cybul <[email protected]>