chore(supported_versions): new format

[dubloom]

Description

Testing

Risks

Additional Notes

[cit-pr-commenter-54b7da]

Circular import analysis

⚠️ Existing circular imports

There are 3 circular imports that already exist on the base branch and have not been changed by this PR.

ddtrace.errortracking._handled_exceptions.bytecode_injector -> ddtrace.errortracking._handled_exceptions.callbacks -> ddtrace.errortracking._handled_exceptions.collector -> ddtrace.errortracking._handled_exceptions.bytecode_reporting -> ddtrace.errortracking._handled_exceptions.bytecode_injector
ddtrace.llmobs -> ddtrace.llmobs._evaluators -> ddtrace.llmobs._evaluators.format -> ddtrace.llmobs._experiment -> ddtrace.llmobs
ddtrace.appsec._asm_request_context -> ddtrace.appsec._iast._iast_request_context_base -> ddtrace.appsec._iast._iast_env -> ddtrace.appsec._iast.reporter -> ddtrace.appsec._exploit_prevention.stack_traces -> ddtrace.appsec._asm_request_context

[datadog-datadog-prod-us1-2]

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🔄 Datadog auto-retried 3 jobs - 3 passed on retry

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 622c571 | Docs | View more details | Give us feedback!}

[pr-commenter]

Benchmarks

Benchmark execution time: 2026-08-21 15:52:25

Comparing candidate commit 622c571 in PR branch dubloom/supported-version-new-format with baseline commit b1d9e9b in branch main.

📊 Benchmarking dashboard

Found 0 performance improvements and 10 performance regressions! Performance is the same for 612 metrics, 10 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

• 🟩 = significantly better candidate vs. baseline
• 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:httppropagationextract-wsgi_valid_headers_all

• 🟥 execution_time [+412.401ns; +467.838ns] or [+7.490%; +8.497%]

scenario:httppropagationinject-ids_only

• 🟥 execution_time [+1.791µs; +1.954µs] or [+9.200%; +10.034%]

scenario:iastaspects-casefold_noaspect

• 🟥 execution_time [+33.778µs; +41.966µs] or [+13.803%; +17.149%]

scenario:iastaspects-join_aspect

• 🟥 execution_time [+30.950µs; +37.965µs] or [+15.096%; +18.517%]

scenario:iastaspects-ljust_noaspect

• 🟥 execution_time [+41.441µs; +46.778µs] or [+14.177%; +16.003%]

scenario:iastaspects-title_aspect

• 🟥 execution_time [+25.862µs; +38.329µs] or [+9.348%; +13.855%]

scenario:iastaspectsospath-ospathbasename_aspect

• 🟥 execution_time [+117.414µs; +125.407µs] or [+28.478%; +30.416%]

scenario:span-start

• 🟥 execution_time [+1.569ms; +1.738ms] or [+10.932%; +12.105%]

scenario:telemetryaddmetric-1-count-metric-1-times

• 🟥 execution_time [+340.238ns; +381.459ns] or [+12.693%; +14.231%]

scenario:tracer-small

• 🟥 execution_time [+27.184µs; +29.415µs] or [+8.469%; +9.164%]

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:coreapiscenario-context_with_data_listeners

• unstable execution_time [-777.336ns; +703.426ns] or [-7.014%; +6.347%]

scenario:coreapiscenario-core_dispatch_1_listener

• unstable execution_time [-36.836ns; +30.098ns] or [-6.001%; +4.904%]

scenario:coreapiscenario-core_dispatch_50_listeners

• unstable execution_time [-1687.690ns; +1654.087ns] or [-9.854%; +9.658%]

scenario:coreapiscenario-core_dispatch_exception_listeners

• unstable execution_time [-1271.525ns; +1190.705ns] or [-9.871%; +9.243%]

scenario:coreapiscenario-core_dispatch_listeners

• unstable execution_time [-332.899ns; +321.559ns] or [-9.032%; +8.725%]

scenario:coreapiscenario-core_dispatch_no_args_listeners

• unstable execution_time [-255.705ns; +255.931ns] or [-8.719%; +8.726%]

scenario:coreapiscenario-core_dispatch_with_results_1_listener

• unstable execution_time [-75.056ns; +73.243ns] or [-6.483%; +6.326%]

scenario:coreapiscenario-core_dispatch_with_results_50_listeners

• unstable execution_time [-4020.334ns; +3894.158ns] or [-9.949%; +9.637%]

scenario:coreapiscenario-core_dispatch_with_results_listeners

• unstable execution_time [-713.903ns; +833.146ns] or [-8.749%; +10.210%]

scenario:packagesupdateimporteddependencies-import_many_stdlib_cached

• unstable execution_time [-57.633µs; +62.974µs] or [-8.990%; +9.823%]

[cit-pr-commenter-54b7da]

Codeowners resolved as

Resolved from the full PR diff against main using the target branch CODEOWNERS file.
CODEOWNERS team requests not listed below are not required by the current file set.

.riot/requirements/15798b5.txt                                          @DataDog/apm-python
.riot/requirements/1689461.txt                                          @DataDog/apm-python
.riot/requirements/2043c14.txt                                          @DataDog/apm-python
.riot/requirements/30620e3.txt                                          @DataDog/apm-python
.riot/requirements/39c87f2.txt                                          @DataDog/apm-python
.riot/requirements/460aab7.txt                                          @DataDog/apm-python
.riot/requirements/494e77a.txt                                          @DataDog/apm-python
.riot/requirements/c31c6df.txt                                          @DataDog/apm-python
ddtrace/contrib/internal/aiobotocore/patch.py                           @DataDog/apm-core-python @DataDog/apm-idm-python
ddtrace/contrib/internal/ray_serve/patch.py                             @DataDog/apm-core-python @DataDog/apm-idm-python
ddtrace/contrib/internal/vllm/patch.py                                  @DataDog/ml-observability
riotfile.py                                                             @DataDog/apm-python
scripts/integration_registry/_update_integration_registry_versions.py   @DataDog/apm-idm-python
scripts/integration_registry/generate_supported_versions.py             @DataDog/apm-idm-python
scripts/integration_registry/registry.yaml                              @DataDog/apm-idm-python
supported_versions.json                                                 @DataDog/apm-core-python @DataDog/apm-idm-python

[cit-pr-commenter-54b7da]

Dependency direction analysis

⚠️ Existing dependency direction violations

There are 250 dependency direction violations that already exist on the base branch and have not been changed by this PR.

Show existing violations (showing 5 of 250 highest severity)

ddtrace.internal.tracemethods -×-> ddtrace.trace  (internal-core -> product:tracing, score=135)
ddtrace.llmobs._utils -×-> ddtrace.trace  (product:llmobs -> product:tracing, score=133)
ddtrace.profiling.collector.pytorch -×-> ddtrace.trace  (product:profiling -> product:tracing, score=133)
ddtrace.llmobs._integrations.mcp -×-> ddtrace.trace  (product:llmobs -> product:tracing, score=133)
ddtrace.internal.ci_visibility.recorder -×-> ddtrace.trace  (product:ci_visibility -> product:tracing, score=133)

To see all violations, download the layers-base.json and layers-pr.json artifacts from this CI job and run:

uv run --script scripts/import-analysis/layers.py compare layers-base.json layers-pr.json