Skip to content

feat(mlflow): create an auth plugin for MLFlow#16685

Open
yshapiro-57 wants to merge 14 commits intomainfrom
yakov.shapiro/MLOB-5384/auth-plugin
Open

feat(mlflow): create an auth plugin for MLFlow#16685
yshapiro-57 wants to merge 14 commits intomainfrom
yakov.shapiro/MLOB-5384/auth-plugin

Conversation

@yshapiro-57
Copy link
Contributor

@yshapiro-57 yshapiro-57 commented Feb 27, 2026 •
edited
Loading

Description

This PR sounds serious, but the actual thing it does is dead simple.

MLFlow is an open source framework for monitoring ML training jobs. The MLFlow SDK uses HTTP to send telemetry messages to a backend. MLFlow has an open source implementation of a backend service, the MLFlow tracking server, that receives and stores these telemetry messages. We are building our own internal backend service to receive these messages from MLFlow's SDK.

MLFlow allows you to write custom plugins to modify its behavior, as described here. One of the simplest types of plugin is a request header provider: it tells MLFlow to include additional headers in the HTTP requests that it sends. That's what I am adding in this PR. The plugin tells MLFlow to check if the environment variables DD_API_KEY and DD_APP_KEY are set, and if so, to include two additional HTTP headers, DD-API-KEY: and DD-APPLICATION-KEY, in its HTTP requests to the backend.

MLFlow uses Python entry points to detect and register available plugins, so I am adding an entry point for the new plugin to our pyproject.toml.

The changes to the riot requirements files in this PR are generated automatically with this command:

cd ~/dd/dd-trace-py
scripts/compile-and-prune-test-requirements

Local Testing

With Docker Desktop running, I was able to run the unit tests locally with this command:

# skip the -s if this is your first time running this test
scripts/run-tests --venv 48e6e52 -- -s -- -vv tests/contrib/mlflow/test_auth_plugin.py

where the hash comes from this other command:

scripts/run-tests --list tests/contrib/mlflow/test_auth_plugin.py

End-to-end Testing

Install dd-trace-py from the local directory:

cd ~/dd/dd-trace-py/
pip install -e .

Set the environment variables DD_API_KEY and DD_APP_KEY in your terminal to valid Datadog API and application keys:

export DD_API_KEY=foo # I am not including a real key in the test plan for security reasons
export DD_APP_KEY=bar # Same here
export DD_MODEL_LAB_ENABLED=true

Run the attached script. Note how it sets the MLFlow tracking server URL to https://dd.datad0g.com/api/v1/mlflow-tracking-server as opposed to https://dd.datad0g.com/api/unstable/mlflow-tracking-server. The latter does not enforce authentication, but the former does.

python ~/tmp/simulate_run.py

simulate_run.py

Verify that the script does not produce errors from sending MLFlow telemetry to Datadog's backend, and that projects.owner and runs.owner in the new rows in our Postgres database are set to the user that owns the API key (yourself).

Risks

None

Additional Notes

None

@cit-pr-commenter-54b7da
Copy link

cit-pr-commenter-54b7da bot commented Feb 27, 2026 •
edited
Loading

Codeowners resolved as

tests/utils.py                                                          @DataDog/python-guild

@yshapiro-57 yshapiro-57 changed the title Create an auth plugin for MLFlow feat(mlflow): create an auth plugin for MLFlow Feb 27, 2026
@yshapiro-57 yshapiro-57 added the changelog/no-changelog A changelog entry is not required for this PR. label Feb 27, 2026
@pr-commenter
Copy link

pr-commenter bot commented Feb 27, 2026 •
edited
Loading

Performance SLOs

Comparing candidate yakov.shapiro/MLOB-5384/auth-plugin (7e7960f) with baseline main (6749b36)

📈 Performance Regressions (2 suites)
📈 iastaspects - 118/118

✅ add_aspect

Time: ✅ 105.523µs (SLO: <130.000µs 📉 -18.8%) vs baseline: +1.5%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.6%

✅ add_inplace_aspect

Time: ✅ 101.596µs (SLO: <130.000µs 📉 -21.8%) vs baseline: -2.0%

Memory: ✅ 43.568MB (SLO: <46.000MB -5.3%) vs baseline: +5.7%

✅ add_inplace_noaspect

Time: ✅ 28.291µs (SLO: <40.000µs 📉 -29.3%) vs baseline: +0.1%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

✅ add_noaspect

Time: ✅ 48.786µs (SLO: <70.000µs 📉 -30.3%) vs baseline: -0.2%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.4%

✅ bytearray_aspect

Time: ✅ 251.712µs (SLO: <400.000µs 📉 -37.1%) vs baseline: ~same

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.3%

✅ bytearray_extend_aspect

Time: ✅ 637.924µs (SLO: <800.000µs 📉 -20.3%) vs baseline: -3.2%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +4.8%

✅ bytearray_extend_noaspect

Time: ✅ 264.975µs (SLO: <400.000µs 📉 -33.8%) vs baseline: -2.6%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.2%

✅ bytearray_noaspect

Time: ✅ 135.605µs (SLO: <300.000µs 📉 -54.8%) vs baseline: -3.9%

Memory: ✅ 43.509MB (SLO: <46.000MB -5.4%) vs baseline: +5.7%

✅ bytes_aspect

Time: ✅ 217.078µs (SLO: <300.000µs 📉 -27.6%) vs baseline: -1.7%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.7%

✅ bytes_noaspect

Time: ✅ 134.051µs (SLO: <200.000µs 📉 -33.0%) vs baseline: -2.4%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.4%

✅ bytesio_aspect

Time: ✅ 3.767ms (SLO: <5.000ms 📉 -24.7%) vs baseline: -1.9%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +5.7%

✅ bytesio_noaspect

Time: ✅ 315.943µs (SLO: <420.000µs 📉 -24.8%) vs baseline: -1.7%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.5%

✅ capitalize_aspect

Time: ✅ 89.015µs (SLO: <300.000µs 📉 -70.3%) vs baseline: +0.5%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.4%

✅ capitalize_noaspect

Time: ✅ 254.122µs (SLO: <300.000µs 📉 -15.3%) vs baseline: -2.8%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.6%

✅ casefold_aspect

Time: ✅ 89.113µs (SLO: <500.000µs 📉 -82.2%) vs baseline: +0.3%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.8%

✅ casefold_noaspect

Time: ✅ 313.265µs (SLO: <500.000µs 📉 -37.3%) vs baseline: -5.2%

Memory: ✅ 43.509MB (SLO: <46.000MB -5.4%) vs baseline: +5.8%

✅ decode_aspect

Time: ✅ 86.906µs (SLO: <100.000µs 📉 -13.1%) vs baseline: +0.2%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +5.6%

✅ decode_noaspect

Time: ✅ 152.021µs (SLO: <210.000µs 📉 -27.6%) vs baseline: -1.3%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.4%

✅ encode_aspect

Time: ✅ 84.543µs (SLO: <200.000µs 📉 -57.7%) vs baseline: +0.1%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.4%

✅ encode_noaspect

Time: ✅ 140.469µs (SLO: <200.000µs 📉 -29.8%) vs baseline: -2.8%

Memory: ✅ 43.490MB (SLO: <46.000MB -5.5%) vs baseline: +6.1%

✅ format_aspect

Time: ✅ 14.680ms (SLO: <19.200ms 📉 -23.5%) vs baseline: +0.2%

Memory: ✅ 43.560MB (SLO: <46.000MB -5.3%) vs baseline: +5.7%

✅ format_map_aspect

Time: ✅ 16.721ms (SLO: <21.500ms 📉 -22.2%) vs baseline: +1.7%

Memory: ✅ 43.591MB (SLO: <46.000MB -5.2%) vs baseline: +5.7%

✅ format_map_noaspect

Time: ✅ 372.897µs (SLO: <500.000µs 📉 -25.4%) vs baseline: -1.7%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

✅ format_noaspect

Time: ✅ 306.226µs (SLO: <500.000µs 📉 -38.8%) vs baseline: ~same

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.6%

✅ index_aspect

Time: ✅ 128.690µs (SLO: <300.000µs 📉 -57.1%) vs baseline: +8.0%

Memory: ✅ 43.470MB (SLO: <46.000MB -5.5%) vs baseline: +5.7%

✅ index_noaspect

Time: ✅ 40.195µs (SLO: <300.000µs 📉 -86.6%) vs baseline: ~same

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ join_aspect

Time: ✅ 212.129µs (SLO: <300.000µs 📉 -29.3%) vs baseline: -1.6%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.2%

✅ join_noaspect

Time: ✅ 142.242µs (SLO: <300.000µs 📉 -52.6%) vs baseline: -0.6%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

✅ ljust_aspect

Time: ✅ 585.774µs (SLO: <700.000µs 📉 -16.3%) vs baseline: 📈 +13.7%

Memory: ✅ 43.482MB (SLO: <46.000MB -5.5%) vs baseline: +5.6%

✅ ljust_noaspect

Time: ✅ 260.427µs (SLO: <300.000µs 📉 -13.2%) vs baseline: -1.1%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.8%

✅ lower_aspect

Time: ✅ 294.283µs (SLO: <500.000µs 📉 -41.1%) vs baseline: -4.4%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.8%

✅ lower_noaspect

Time: ✅ 236.263µs (SLO: <300.000µs 📉 -21.2%) vs baseline: -2.1%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

✅ lstrip_aspect

Time: ✅ 0.269ms (SLO: <3.000ms 📉 -91.0%) vs baseline: -4.1%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.5%

✅ lstrip_noaspect

Time: ✅ 0.178ms (SLO: <3.000ms 📉 -94.1%) vs baseline: -3.1%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.2%

✅ modulo_aspect

Time: ✅ 14.448ms (SLO: <18.750ms 📉 -22.9%) vs baseline: +0.5%

Memory: ✅ 43.638MB (SLO: <46.000MB -5.1%) vs baseline: +6.0%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 14.785ms (SLO: <19.350ms 📉 -23.6%) vs baseline: +0.2%

Memory: ✅ 43.546MB (SLO: <46.000MB -5.3%) vs baseline: +5.5%

✅ modulo_aspect_for_bytes

Time: ✅ 14.438ms (SLO: <18.900ms 📉 -23.6%) vs baseline: +0.6%

Memory: ✅ 43.442MB (SLO: <46.000MB -5.6%) vs baseline: +5.0%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 14.677ms (SLO: <19.150ms 📉 -23.4%) vs baseline: +0.6%

Memory: ✅ 43.639MB (SLO: <46.000MB -5.1%) vs baseline: +5.7%

✅ modulo_noaspect

Time: ✅ 0.363ms (SLO: <3.000ms 📉 -87.9%) vs baseline: -1.1%

Memory: ✅ 43.470MB (SLO: <46.000MB -5.5%) vs baseline: +5.6%

✅ replace_aspect

Time: ✅ 18.509ms (SLO: <24.000ms 📉 -22.9%) vs baseline: ~same

Memory: ✅ 43.509MB (SLO: <46.000MB -5.4%) vs baseline: +5.6%

✅ replace_noaspect

Time: ✅ 280.021µs (SLO: <300.000µs -6.7%) vs baseline: -3.8%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

✅ repr_aspect

Time: ✅ 311.266µs (SLO: <420.000µs 📉 -25.9%) vs baseline: -4.4%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.7%

✅ repr_noaspect

Time: ✅ 46.870µs (SLO: <90.000µs 📉 -47.9%) vs baseline: +1.0%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ rstrip_aspect

Time: ✅ 382.239µs (SLO: <500.000µs 📉 -23.6%) vs baseline: -1.5%

Memory: ✅ 43.394MB (SLO: <46.000MB -5.7%) vs baseline: +5.2%

✅ rstrip_noaspect

Time: ✅ 185.984µs (SLO: <300.000µs 📉 -38.0%) vs baseline: +0.7%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.4%

✅ slice_aspect

Time: ✅ 183.454µs (SLO: <300.000µs 📉 -38.8%) vs baseline: +0.9%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.2%

✅ slice_noaspect

Time: ✅ 54.083µs (SLO: <90.000µs 📉 -39.9%) vs baseline: +0.5%

Memory: ✅ 43.431MB (SLO: <46.000MB -5.6%) vs baseline: +5.7%

✅ stringio_aspect

Time: ✅ 4.405ms (SLO: <5.000ms 📉 -11.9%) vs baseline: 📈 +13.6%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.1%

✅ stringio_noaspect

Time: ✅ 346.010µs (SLO: <500.000µs 📉 -30.8%) vs baseline: -3.0%

Memory: ✅ 43.470MB (SLO: <46.000MB -5.5%) vs baseline: +5.4%

✅ strip_aspect

Time: ✅ 268.063µs (SLO: <350.000µs 📉 -23.4%) vs baseline: -4.3%

Memory: ✅ 43.372MB (SLO: <46.000MB -5.7%) vs baseline: +5.6%

✅ strip_noaspect

Time: ✅ 175.711µs (SLO: <240.000µs 📉 -26.8%) vs baseline: -4.1%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.2%

✅ swapcase_aspect

Time: ✅ 332.703µs (SLO: <500.000µs 📉 -33.5%) vs baseline: -3.6%

Memory: ✅ 43.391MB (SLO: <46.000MB -5.7%) vs baseline: +5.5%

✅ swapcase_noaspect

Time: ✅ 273.059µs (SLO: <400.000µs 📉 -31.7%) vs baseline: -2.6%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.2%

✅ title_aspect

Time: ✅ 322.488µs (SLO: <500.000µs 📉 -35.5%) vs baseline: -5.3%

Memory: ✅ 43.450MB (SLO: <46.000MB -5.5%) vs baseline: +5.7%

✅ title_noaspect

Time: ✅ 258.249µs (SLO: <400.000µs 📉 -35.4%) vs baseline: -2.5%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.6%

✅ translate_aspect

Time: ✅ 489.931µs (SLO: <700.000µs 📉 -30.0%) vs baseline: -3.6%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.0%

✅ translate_noaspect

Time: ✅ 427.882µs (SLO: <500.000µs 📉 -14.4%) vs baseline: -1.5%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ upper_aspect

Time: ✅ 293.333µs (SLO: <500.000µs 📉 -41.3%) vs baseline: -3.9%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.4%

✅ upper_noaspect

Time: ✅ 235.203µs (SLO: <400.000µs 📉 -41.2%) vs baseline: -4.0%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.5%

📈 iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 508.390µs (SLO: <700.000µs 📉 -27.4%) vs baseline: 📈 +15.1%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ ospathbasename_noaspect

Time: ✅ 429.941µs (SLO: <700.000µs 📉 -38.6%) vs baseline: -2.7%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.4%

✅ ospathjoin_aspect

Time: ✅ 624.329µs (SLO: <700.000µs 📉 -10.8%) vs baseline: -0.6%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ ospathjoin_noaspect

Time: ✅ 634.774µs (SLO: <700.000µs -9.3%) vs baseline: +1.2%

Memory: ✅ 43.273MB (SLO: <46.000MB -5.9%) vs baseline: +5.1%

✅ ospathnormcase_aspect

Time: ✅ 347.168µs (SLO: <700.000µs 📉 -50.4%) vs baseline: -1.6%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.8%

✅ ospathnormcase_noaspect

Time: ✅ 357.261µs (SLO: <700.000µs 📉 -49.0%) vs baseline: -2.6%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.6%

✅ ospathsplit_aspect

Time: ✅ 487.009µs (SLO: <700.000µs 📉 -30.4%) vs baseline: -1.3%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.3%

✅ ospathsplit_noaspect

Time: ✅ 495.541µs (SLO: <700.000µs 📉 -29.2%) vs baseline: -1.3%

Memory: ✅ 43.352MB (SLO: <46.000MB -5.8%) vs baseline: +5.4%

✅ ospathsplitdrive_aspect

Time: ✅ 372.801µs (SLO: <700.000µs 📉 -46.7%) vs baseline: -1.8%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.3%

✅ ospathsplitdrive_noaspect

Time: ✅ 73.066µs (SLO: <700.000µs 📉 -89.6%) vs baseline: +0.4%

Memory: ✅ 43.411MB (SLO: <46.000MB -5.6%) vs baseline: +5.4%

✅ ospathsplitext_aspect

Time: ✅ 455.352µs (SLO: <700.000µs 📉 -34.9%) vs baseline: -2.4%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +5.5%

✅ ospathsplitext_noaspect

Time: ✅ 464.057µs (SLO: <700.000µs 📉 -33.7%) vs baseline: -1.3%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.3%

🟡 Near SLO Breach (1 suite)
🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 3.407ms (SLO: <4.750ms 📉 -28.3%) vs baseline: -0.5%

Memory: ✅ 55.502MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +5.0%

✅ appsec-post

Time: ✅ 2.897ms (SLO: <6.750ms 📉 -57.1%) vs baseline: ~same

Memory: ✅ 55.483MB (SLO: <66.500MB 📉 -16.6%) vs baseline: +5.0%

✅ appsec-telemetry

Time: ✅ 3.460ms (SLO: <4.750ms 📉 -27.1%) vs baseline: +1.2%

Memory: ✅ 55.542MB (SLO: <66.500MB 📉 -16.5%) vs baseline: +5.1%

✅ debugger

Time: ✅ 1.869ms (SLO: <2.000ms -6.5%) vs baseline: ~same

Memory: ✅ 48.975MB (SLO: <51.500MB -4.9%) vs baseline: +5.1%

✅ iast-get

Time: ✅ 1.856ms (SLO: <2.000ms -7.2%) vs baseline: -0.3%

Memory: ✅ 45.711MB (SLO: <49.000MB -6.7%) vs baseline: +5.3%

✅ profiler

Time: ✅ 1.902ms (SLO: <2.100ms -9.4%) vs baseline: -0.2%

Memory: ✅ 51.511MB (SLO: <52.500MB 🟡 -1.9%) vs baseline: +4.9%

✅ resource-renaming

Time: ✅ 3.404ms (SLO: <3.650ms -6.8%) vs baseline: -0.3%

Memory: ✅ 55.463MB (SLO: <60.000MB -7.6%) vs baseline: +4.9%

✅ tracer

Time: ✅ 3.419ms (SLO: <3.650ms -6.3%) vs baseline: ~same

Memory: ✅ 55.483MB (SLO: <60.000MB -7.5%) vs baseline: +4.9%

✅ tracer-native

Time: ✅ 3.410ms (SLO: <3.650ms -6.6%) vs baseline: +0.3%

Memory: ✅ 55.522MB (SLO: <60.000MB -7.5%) vs baseline: +5.2%

⚠️ Unstable Tests (2 suites)
⚠️ coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.322µs (SLO: <20.000µs 📉 -33.4%) vs baseline: +0.2%

Memory: ✅ 35.940MB (SLO: <38.000MB -5.4%) vs baseline: +5.0%

✅ context_with_data_no_listeners

Time: ✅ 3.305µs (SLO: <10.000µs 📉 -66.9%) vs baseline: -1.7%

Memory: ✅ 35.960MB (SLO: <38.000MB -5.4%) vs baseline: +5.6%

✅ get_item_exists

Time: ✅ 0.581µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +1.0%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.7%

✅ get_item_missing

Time: ✅ 0.639µs (SLO: <10.000µs 📉 -93.6%) vs baseline: +0.7%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.8%

✅ set_item

Time: ✅ 24.112µs (SLO: <30.000µs 📉 -19.6%) vs baseline: -0.6%

Memory: ✅ 36.058MB (SLO: <38.000MB -5.1%) vs baseline: +5.7%

⚠️ packagesupdateimporteddependencies - 24/24 (1 unstable)

✅ import_many

Time: ✅ 155.759µs (SLO: <170.000µs -8.4%) vs baseline: +0.1%

Memory: ✅ 40.884MB (SLO: <46.000MB 📉 -11.1%) vs baseline: +5.3%

✅ import_many_cached

Time: ✅ 121.860µs (SLO: <130.000µs -6.3%) vs baseline: +0.7%

Memory: ✅ 40.811MB (SLO: <46.000MB 📉 -11.3%) vs baseline: +5.3%

✅ import_many_stdlib

Time: ✅ 0.771ms (SLO: <1.750ms 📉 -55.9%) vs baseline: -0.5%

Memory: ✅ 40.976MB (SLO: <46.000MB 📉 -10.9%) vs baseline: +5.7%

⚠️ import_many_stdlib_cached

Time: ⚠️ 0.175ms (SLO: <1.100ms 📉 -84.1%) vs baseline: +0.2%

Memory: ✅ 40.715MB (SLO: <46.000MB 📉 -11.5%) vs baseline: +5.3%

✅ import_many_unknown

Time: ✅ 833.147µs (SLO: <890.000µs -6.4%) vs baseline: +0.4%

Memory: ✅ 40.862MB (SLO: <46.000MB 📉 -11.2%) vs baseline: +5.2%

✅ import_many_unknown_cached

Time: ✅ 797.113µs (SLO: <870.000µs -8.4%) vs baseline: +1.5%

Memory: ✅ 40.996MB (SLO: <46.000MB 📉 -10.9%) vs baseline: +5.4%

✅ import_one

Time: ✅ 19.747µs (SLO: <30.000µs 📉 -34.2%) vs baseline: -0.1%

Memory: ✅ 40.784MB (SLO: <46.000MB 📉 -11.3%) vs baseline: +5.1%

✅ import_one_cache

Time: ✅ 6.302µs (SLO: <10.000µs 📉 -37.0%) vs baseline: +0.7%

Memory: ✅ 40.958MB (SLO: <46.000MB 📉 -11.0%) vs baseline: +6.1%

✅ import_one_stdlib

Time: ✅ 18.762µs (SLO: <20.000µs -6.2%) vs baseline: +0.3%

Memory: ✅ 40.887MB (SLO: <46.000MB 📉 -11.1%) vs baseline: +5.8%

✅ import_one_stdlib_cache

Time: ✅ 6.274µs (SLO: <10.000µs 📉 -37.3%) vs baseline: ~same

Memory: ✅ 40.934MB (SLO: <46.000MB 📉 -11.0%) vs baseline: +5.8%

✅ import_one_unknown

Time: ✅ 45.368µs (SLO: <50.000µs -9.3%) vs baseline: +0.7%

Memory: ✅ 41.063MB (SLO: <46.000MB 📉 -10.7%) vs baseline: +6.4%

✅ import_one_unknown_cache

Time: ✅ 6.276µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.3%

Memory: ✅ 40.851MB (SLO: <43.000MB -5.0%) vs baseline: +5.6%

✅ All Tests Passing (21 suites)
✅ codeprovenancefork - 2/2

✅ fork-10

Time: ✅ 2.129s (SLO: <2.300s -7.4%) vs baseline: +2.3%

Memory: ✅ 17.400MB (SLO: <20.000MB 📉 -13.0%) vs baseline: +4.9%

✅ djangosimple - 30/30

✅ appsec

Time: ✅ 19.673ms (SLO: <22.300ms 📉 -11.8%) vs baseline: +0.7%

Memory: ✅ 67.869MB (SLO: <73.500MB -7.7%) vs baseline: +4.9%

✅ exception-replay-enabled

Time: ✅ 1.384ms (SLO: <1.450ms -4.6%) vs baseline: -0.3%

Memory: ✅ 66.212MB (SLO: <71.500MB -7.4%) vs baseline: +5.1%

✅ iast

Time: ✅ 19.693ms (SLO: <22.250ms 📉 -11.5%) vs baseline: +0.3%

Memory: ✅ 67.908MB (SLO: <75.000MB -9.5%) vs baseline: +4.9%

✅ profiler

Time: ✅ 15.217ms (SLO: <16.550ms -8.1%) vs baseline: -0.1%

Memory: ✅ 59.198MB (SLO: <61.000MB -3.0%) vs baseline: +4.8%

✅ resource-renaming

Time: ✅ 19.562ms (SLO: <21.750ms 📉 -10.1%) vs baseline: +0.3%

Memory: ✅ 68.105MB (SLO: <73.500MB -7.3%) vs baseline: +5.3%

✅ span-code-origin

Time: ✅ 20.037ms (SLO: <28.200ms 📉 -28.9%) vs baseline: +1.3%

Memory: ✅ 67.865MB (SLO: <75.000MB -9.5%) vs baseline: +5.0%

✅ tracer

Time: ✅ 19.641ms (SLO: <21.750ms -9.7%) vs baseline: +0.4%

Memory: ✅ 67.830MB (SLO: <75.000MB -9.6%) vs baseline: +4.8%

✅ tracer-and-profiler

Time: ✅ 21.111ms (SLO: <23.500ms 📉 -10.2%) vs baseline: +0.1%

Memory: ✅ 69.678MB (SLO: <75.000MB -7.1%) vs baseline: +5.1%

✅ tracer-dont-create-db-spans

Time: ✅ 19.667ms (SLO: <21.500ms -8.5%) vs baseline: ~same

Memory: ✅ 67.908MB (SLO: <75.000MB -9.5%) vs baseline: +4.9%

✅ tracer-minimal

Time: ✅ 16.809ms (SLO: <17.500ms -3.9%) vs baseline: +0.2%

Memory: ✅ 67.830MB (SLO: <75.000MB -9.6%) vs baseline: +4.8%

✅ tracer-native

Time: ✅ 19.549ms (SLO: <21.750ms 📉 -10.1%) vs baseline: +0.3%

Memory: ✅ 67.771MB (SLO: <72.500MB -6.5%) vs baseline: +4.8%

✅ tracer-no-caches

Time: ✅ 17.616ms (SLO: <19.650ms 📉 -10.4%) vs baseline: +0.4%

Memory: ✅ 67.771MB (SLO: <75.000MB -9.6%) vs baseline: +4.7%

✅ tracer-no-databases

Time: ✅ 19.236ms (SLO: <20.100ms -4.3%) vs baseline: -0.2%

Memory: ✅ 67.771MB (SLO: <75.000MB -9.6%) vs baseline: +4.7%

✅ tracer-no-middleware

Time: ✅ 19.359ms (SLO: <21.500ms -10.0%) vs baseline: +0.4%

Memory: ✅ 67.790MB (SLO: <75.000MB -9.6%) vs baseline: +4.8%

✅ tracer-no-templates

Time: ✅ 19.544ms (SLO: <22.000ms 📉 -11.2%) vs baseline: +1.1%

Memory: ✅ 67.886MB (SLO: <73.500MB -7.6%) vs baseline: +4.8%

✅ errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 16.360ms (SLO: <19.850ms 📉 -17.6%) vs baseline: +0.2%

Memory: ✅ 67.987MB (SLO: <75.000MB -9.4%) vs baseline: +5.2%

✅ errortracking-enabled-user

Time: ✅ 16.345ms (SLO: <19.400ms 📉 -15.7%) vs baseline: +0.2%

Memory: ✅ 67.987MB (SLO: <75.000MB -9.4%) vs baseline: +5.1%

✅ tracer-enabled

Time: ✅ 16.393ms (SLO: <19.450ms 📉 -15.7%) vs baseline: +0.4%

Memory: ✅ 67.889MB (SLO: <75.000MB -9.5%) vs baseline: +5.2%

✅ errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.113ms (SLO: <2.300ms -8.1%) vs baseline: +0.3%

Memory: ✅ 55.325MB (SLO: <60.000MB -7.8%) vs baseline: +5.0%

✅ errortracking-enabled-user

Time: ✅ 2.122ms (SLO: <2.250ms -5.7%) vs baseline: +0.4%

Memory: ✅ 55.306MB (SLO: <60.000MB -7.8%) vs baseline: +5.1%

✅ tracer-enabled

Time: ✅ 2.116ms (SLO: <2.300ms -8.0%) vs baseline: +0.3%

Memory: ✅ 55.424MB (SLO: <60.000MB -7.6%) vs baseline: +5.1%

✅ flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 2.103ms (SLO: <4.200ms 📉 -49.9%) vs baseline: +0.2%

Memory: ✅ 55.384MB (SLO: <66.000MB 📉 -16.1%) vs baseline: +5.0%

✅ iast-enabled

Time: ✅ 2.115ms (SLO: <2.800ms 📉 -24.5%) vs baseline: +0.4%

Memory: ✅ 55.384MB (SLO: <62.500MB 📉 -11.4%) vs baseline: +5.0%

✅ tracer-enabled

Time: ✅ 2.106ms (SLO: <2.250ms -6.4%) vs baseline: +0.3%

Memory: ✅ 55.286MB (SLO: <60.000MB -7.9%) vs baseline: +4.9%

✅ forktime - 4/4

✅ baseline

Time: ✅ 1.947ms (SLO: <3.000ms 📉 -35.1%) vs baseline: +5.0%

Memory: ✅ 29.314MB (SLO: <33.000MB 📉 -11.2%) vs baseline: +4.9%

✅ configured

Time: ✅ 8.581ms (SLO: <13.000ms 📉 -34.0%) vs baseline: +0.2%

Memory: ✅ 55.442MB (SLO: <60.000MB -7.6%) vs baseline: +5.0%

✅ httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 80.040µs (SLO: <100.000µs 📉 -20.0%) vs baseline: +4.4%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.7%

✅ b3_headers

Time: ✅ 12.722µs (SLO: <20.000µs 📉 -36.4%) vs baseline: -1.7%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.3%

✅ b3_single_headers

Time: ✅ 11.857µs (SLO: <20.000µs 📉 -40.7%) vs baseline: -0.4%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.5%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 61.272µs (SLO: <80.000µs 📉 -23.4%) vs baseline: -1.0%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 63.050µs (SLO: <80.000µs 📉 -21.2%) vs baseline: -0.7%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ empty_headers

Time: ✅ 1.304µs (SLO: <10.000µs 📉 -87.0%) vs baseline: +0.9%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ full_t_id_datadog_headers

Time: ✅ 21.222µs (SLO: <30.000µs 📉 -29.3%) vs baseline: -0.2%

Memory: ✅ 36.038MB (SLO: <38.000MB -5.2%) vs baseline: +5.1%

✅ invalid_priority_header

Time: ✅ 5.929µs (SLO: <10.000µs 📉 -40.7%) vs baseline: +0.5%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.3%

✅ invalid_span_id_header

Time: ✅ 5.929µs (SLO: <10.000µs 📉 -40.7%) vs baseline: +0.5%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.4%

✅ invalid_tags_header

Time: ✅ 5.926µs (SLO: <10.000µs 📉 -40.7%) vs baseline: +0.8%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ invalid_trace_id_header

Time: ✅ 5.902µs (SLO: <10.000µs 📉 -41.0%) vs baseline: ~same

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ large_header_no_matches

Time: ✅ 26.956µs (SLO: <30.000µs 📉 -10.1%) vs baseline: ~same

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.8%

✅ large_valid_headers_all

Time: ✅ 28.093µs (SLO: <40.000µs 📉 -29.8%) vs baseline: -0.2%

Memory: ✅ 36.176MB (SLO: <38.000MB -4.8%) vs baseline: +5.8%

✅ medium_header_no_matches

Time: ✅ 9.244µs (SLO: <20.000µs 📉 -53.8%) vs baseline: +0.3%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ medium_valid_headers_all

Time: ✅ 10.683µs (SLO: <20.000µs 📉 -46.6%) vs baseline: ~same

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ none_propagation_style

Time: ✅ 1.393µs (SLO: <10.000µs 📉 -86.1%) vs baseline: -0.1%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.8%

✅ tracecontext_headers

Time: ✅ 32.577µs (SLO: <40.000µs 📉 -18.6%) vs baseline: -1.1%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.6%

✅ valid_headers_all

Time: ✅ 5.901µs (SLO: <10.000µs 📉 -41.0%) vs baseline: +0.5%

Memory: ✅ 36.215MB (SLO: <38.000MB -4.7%) vs baseline: +5.8%

✅ valid_headers_basic

Time: ✅ 5.502µs (SLO: <10.000µs 📉 -45.0%) vs baseline: ~same

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.7%

✅ wsgi_empty_headers

Time: ✅ 1.303µs (SLO: <10.000µs 📉 -87.0%) vs baseline: +0.4%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ wsgi_invalid_priority_header

Time: ✅ 5.935µs (SLO: <10.000µs 📉 -40.7%) vs baseline: +0.3%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.308µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +1.5%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.8%

✅ wsgi_invalid_tags_header

Time: ✅ 5.949µs (SLO: <10.000µs 📉 -40.5%) vs baseline: ~same

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.8%

✅ wsgi_invalid_trace_id_header

Time: ✅ 5.936µs (SLO: <10.000µs 📉 -40.6%) vs baseline: +0.4%

Memory: ✅ 36.215MB (SLO: <38.000MB -4.7%) vs baseline: +5.7%

✅ wsgi_large_header_no_matches

Time: ✅ 28.089µs (SLO: <40.000µs 📉 -29.8%) vs baseline: +0.2%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.6%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.331µs (SLO: <40.000µs 📉 -26.7%) vs baseline: +0.5%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ wsgi_medium_header_no_matches

Time: ✅ 9.489µs (SLO: <20.000µs 📉 -52.6%) vs baseline: +0.8%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.014µs (SLO: <20.000µs 📉 -44.9%) vs baseline: +1.6%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.6%

✅ wsgi_valid_headers_all

Time: ✅ 5.977µs (SLO: <10.000µs 📉 -40.2%) vs baseline: +1.0%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.3%

✅ wsgi_valid_headers_basic

Time: ✅ 5.516µs (SLO: <10.000µs 📉 -44.8%) vs baseline: -0.2%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.4%

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 20.339µs (SLO: <30.000µs 📉 -32.2%) vs baseline: +2.4%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.7%

✅ with_all

Time: ✅ 26.378µs (SLO: <40.000µs 📉 -34.1%) vs baseline: -1.1%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.7%

✅ with_dd_origin

Time: ✅ 23.338µs (SLO: <30.000µs 📉 -22.2%) vs baseline: +0.2%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.6%

✅ with_priority_and_origin

Time: ✅ 22.800µs (SLO: <40.000µs 📉 -43.0%) vs baseline: -0.9%

Memory: ✅ 36.176MB (SLO: <38.000MB -4.8%) vs baseline: +5.8%

✅ with_sampling_priority

Time: ✅ 19.568µs (SLO: <30.000µs 📉 -34.8%) vs baseline: -1.3%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.4%

✅ with_tags

Time: ✅ 24.385µs (SLO: <40.000µs 📉 -39.0%) vs baseline: -1.7%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ with_tags_invalid

Time: ✅ 25.733µs (SLO: <40.000µs 📉 -35.7%) vs baseline: -1.3%

Memory: ✅ 36.196MB (SLO: <38.000MB -4.7%) vs baseline: +5.7%

✅ with_tags_max_size

Time: ✅ 24.830µs (SLO: <40.000µs 📉 -37.9%) vs baseline: -1.3%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 154.519µs (SLO: <250.000µs 📉 -38.2%) vs baseline: -0.2%

Memory: ✅ 43.293MB (SLO: <46.000MB -5.9%) vs baseline: +5.0%

✅ rsplit_noaspect

Time: ✅ 155.779µs (SLO: <250.000µs 📉 -37.7%) vs baseline: -4.8%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.2%

✅ split_aspect

Time: ✅ 148.257µs (SLO: <250.000µs 📉 -40.7%) vs baseline: -7.1%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.5%

✅ split_noaspect

Time: ✅ 155.879µs (SLO: <250.000µs 📉 -37.6%) vs baseline: -5.6%

Memory: ✅ 43.313MB (SLO: <46.000MB -5.8%) vs baseline: +5.2%

✅ splitlines_aspect

Time: ✅ 144.141µs (SLO: <250.000µs 📉 -42.3%) vs baseline: -7.9%

Memory: ✅ 43.273MB (SLO: <46.000MB -5.9%) vs baseline: +5.2%

✅ splitlines_noaspect

Time: ✅ 149.741µs (SLO: <250.000µs 📉 -40.1%) vs baseline: -9.2%

Memory: ✅ 43.332MB (SLO: <46.000MB -5.8%) vs baseline: +5.2%

✅ iastpropagation - 8/8

✅ no-propagation

Time: ✅ 48.757µs (SLO: <60.000µs 📉 -18.7%) vs baseline: +0.9%

Memory: ✅ 39.381MB (SLO: <42.000MB -6.2%) vs baseline: +5.4%

✅ propagation_enabled

Time: ✅ 136.325µs (SLO: <190.000µs 📉 -28.3%) vs baseline: +1.1%

Memory: ✅ 39.381MB (SLO: <42.000MB -6.2%) vs baseline: +5.1%

✅ propagation_enabled_100

Time: ✅ 1.564ms (SLO: <2.300ms 📉 -32.0%) vs baseline: +0.3%

Memory: ✅ 39.479MB (SLO: <42.000MB -6.0%) vs baseline: +6.1%

✅ propagation_enabled_1000

Time: ✅ 29.010ms (SLO: <34.550ms 📉 -16.0%) vs baseline: ~same

Memory: ✅ 39.734MB (SLO: <42.000MB -5.4%) vs baseline: +6.3%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.405ms (SLO: <42.000ms -3.8%) vs baseline: -0.2%

Memory: ✅ 38.810MB (SLO: <40.750MB -4.8%) vs baseline: +6.3%

✅ add-link

Time: ✅ 36.203ms (SLO: <38.550ms -6.1%) vs baseline: -0.3%

Memory: ✅ 38.928MB (SLO: <40.750MB -4.5%) vs baseline: +6.6%

✅ add-metrics

Time: ✅ 218.520ms (SLO: <232.000ms -5.8%) vs baseline: ~same

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +6.6%

✅ add-tags

Time: ✅ 212.522ms (SLO: <221.600ms -4.1%) vs baseline: +0.7%

Memory: ✅ 38.889MB (SLO: <40.750MB -4.6%) vs baseline: +6.8%

✅ get-context

Time: ✅ 29.183ms (SLO: <31.300ms -6.8%) vs baseline: +0.3%

Memory: ✅ 38.751MB (SLO: <40.750MB -4.9%) vs baseline: +6.2%

✅ is-recording

Time: ✅ 29.127ms (SLO: <31.000ms -6.0%) vs baseline: -0.8%

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +6.1%

✅ record-exception

Time: ✅ 63.138ms (SLO: <65.850ms -4.1%) vs baseline: ~same

Memory: ✅ 38.771MB (SLO: <40.750MB -4.9%) vs baseline: +5.7%

✅ set-status

Time: ✅ 31.979ms (SLO: <34.150ms -6.4%) vs baseline: +1.2%

Memory: ✅ 38.555MB (SLO: <40.750MB -5.4%) vs baseline: +5.3%

✅ start

Time: ✅ 29.309ms (SLO: <30.150ms -2.8%) vs baseline: +1.7%

Memory: ✅ 38.633MB (SLO: <40.750MB -5.2%) vs baseline: +5.9%

✅ start-finish

Time: ✅ 33.579ms (SLO: <35.350ms -5.0%) vs baseline: -1.1%

Memory: ✅ 38.673MB (SLO: <40.750MB -5.1%) vs baseline: +6.1%

✅ start-finish-telemetry

Time: ✅ 33.822ms (SLO: <35.450ms -4.6%) vs baseline: ~same

Memory: ✅ 38.987MB (SLO: <40.750MB -4.3%) vs baseline: +6.9%

✅ update-name

Time: ✅ 30.916ms (SLO: <33.400ms -7.4%) vs baseline: ~same

Memory: ✅ 38.850MB (SLO: <40.750MB -4.7%) vs baseline: +6.0%

✅ otelspan - 22/22

✅ add-event

Time: ✅ 40.128ms (SLO: <47.150ms 📉 -14.9%) vs baseline: -0.2%

Memory: ✅ 41.050MB (SLO: <47.000MB 📉 -12.7%) vs baseline: +5.6%

✅ add-metrics

Time: ✅ 250.031ms (SLO: <344.800ms 📉 -27.5%) vs baseline: -0.6%

Memory: ✅ 45.360MB (SLO: <47.500MB -4.5%) vs baseline: +5.4%

✅ add-tags

Time: ✅ 306.129ms (SLO: <330.000ms -7.2%) vs baseline: +0.3%

Memory: ✅ 45.478MB (SLO: <47.500MB -4.3%) vs baseline: +5.4%

✅ get-context

Time: ✅ 80.704ms (SLO: <92.350ms 📉 -12.6%) vs baseline: +0.5%

Memory: ✅ 41.327MB (SLO: <46.500MB 📉 -11.1%) vs baseline: +5.8%

✅ is-recording

Time: ✅ 36.687ms (SLO: <44.500ms 📉 -17.6%) vs baseline: +0.2%

Memory: ✅ 41.011MB (SLO: <47.500MB 📉 -13.7%) vs baseline: +5.8%

✅ record-exception

Time: ✅ 58.888ms (SLO: <67.650ms 📉 -13.0%) vs baseline: -0.5%

Memory: ✅ 41.441MB (SLO: <47.000MB 📉 -11.8%) vs baseline: +5.4%

✅ set-status

Time: ✅ 43.118ms (SLO: <50.400ms 📉 -14.4%) vs baseline: -0.6%

Memory: ✅ 40.900MB (SLO: <47.000MB 📉 -13.0%) vs baseline: +5.9%

✅ start

Time: ✅ 37.563ms (SLO: <43.450ms 📉 -13.5%) vs baseline: +4.2%

Memory: ✅ 40.977MB (SLO: <47.000MB 📉 -12.8%) vs baseline: +5.3%

✅ start-finish

Time: ✅ 85.161ms (SLO: <90.000ms -5.4%) vs baseline: +0.2%

Memory: ✅ 38.594MB (SLO: <46.500MB 📉 -17.0%) vs baseline: +5.8%

✅ start-finish-telemetry

Time: ✅ 86.567ms (SLO: <91.000ms -4.9%) vs baseline: -0.5%

Memory: ✅ 38.574MB (SLO: <46.500MB 📉 -17.0%) vs baseline: +5.7%

✅ update-name

Time: ✅ 37.790ms (SLO: <45.150ms 📉 -16.3%) vs baseline: -0.4%

Memory: ✅ 40.952MB (SLO: <47.000MB 📉 -12.9%) vs baseline: +5.5%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 345.997ms (SLO: <354.300ms -2.3%) vs baseline: -1.4%

Memory: ✅ 41.931MB (SLO: <46.000MB -8.8%) vs baseline: +5.5%

✅ cache_on

Time: ✅ 0.386µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +0.8%

Memory: ✅ 40.941MB (SLO: <46.000MB 📉 -11.0%) vs baseline: +5.5%

✅ rand - 2/2

✅ rand128bits

Time: ✅ 0.180µs (SLO: <21.000µs 📉 -99.1%) vs baseline: ~same

✅ rand64bits

Time: ✅ 0.123µs (SLO: <15.000µs 📉 -99.2%) vs baseline: +8.8%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.343µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.7%

Memory: ✅ 36.156MB (SLO: <38.000MB -4.9%) vs baseline: +6.2%

✅ high_rate_limit

Time: ✅ 2.426µs (SLO: <10.000µs 📉 -75.7%) vs baseline: ~same

Memory: ✅ 36.078MB (SLO: <38.000MB -5.1%) vs baseline: +5.5%

✅ long_window

Time: ✅ 2.349µs (SLO: <10.000µs 📉 -76.5%) vs baseline: -0.6%

Memory: ✅ 36.137MB (SLO: <38.000MB -4.9%) vs baseline: +5.7%

✅ low_rate_limit

Time: ✅ 2.378µs (SLO: <10.000µs 📉 -76.2%) vs baseline: +0.8%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.5%

✅ no_rate_limit

Time: ✅ 0.831µs (SLO: <10.000µs 📉 -91.7%) vs baseline: -1.0%

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +6.0%

✅ short_window

Time: ✅ 2.490µs (SLO: <10.000µs 📉 -75.1%) vs baseline: ~same

Memory: ✅ 36.117MB (SLO: <38.000MB -5.0%) vs baseline: +6.0%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 310.300ms (SLO: <320.950ms -3.3%) vs baseline: ~same

Memory: ✅ 37.159MB (SLO: <38.750MB -4.1%) vs baseline: +6.8%

✅ deep-profiled

Time: ✅ 325.899ms (SLO: <359.150ms -9.3%) vs baseline: -0.3%

Memory: ✅ 42.644MB (SLO: <46.000MB -7.3%) vs baseline: +5.4%

✅ medium

Time: ✅ 7.139ms (SLO: <7.400ms -3.5%) vs baseline: +0.2%

Memory: ✅ 35.999MB (SLO: <38.000MB -5.3%) vs baseline: +5.4%

✅ shallow

Time: ✅ 0.985ms (SLO: <1.050ms -6.2%) vs baseline: +1.5%

Memory: ✅ 35.999MB (SLO: <38.000MB -5.3%) vs baseline: +5.4%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 150.826µs (SLO: <290.000µs 📉 -48.0%) vs baseline: ~same

Memory: ✅ 35.920MB (SLO: <38.000MB -5.5%) vs baseline: +5.4%

✅ high_match

Time: ✅ 202.941µs (SLO: <480.000µs 📉 -57.7%) vs baseline: +2.1%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.6%

✅ low_match

Time: ✅ 100.304µs (SLO: <120.000µs 📉 -16.4%) vs baseline: ~same

Memory: ✅ 701.485MB (SLO: <780.000MB 📉 -10.1%) vs baseline: +4.9%

✅ very_low_match

Time: ✅ 2.952ms (SLO: <8.500ms 📉 -65.3%) vs baseline: +0.7%

Memory: ✅ 78.452MB (SLO: <85.000MB -7.7%) vs baseline: +5.0%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.552µs (SLO: <20.000µs 📉 -47.2%) vs baseline: -0.1%

Memory: ✅ 36.471MB (SLO: <38.750MB -5.9%) vs baseline: +5.3%

✅ all-enabled

Time: ✅ 40.874µs (SLO: <50.000µs 📉 -18.3%) vs baseline: +2.1%

Memory: ✅ 36.667MB (SLO: <38.750MB -5.4%) vs baseline: +6.1%

✅ collectipvariant_exists

Time: ✅ 40.906µs (SLO: <50.000µs 📉 -18.2%) vs baseline: -0.8%

Memory: ✅ 36.530MB (SLO: <38.750MB -5.7%) vs baseline: +5.5%

✅ no-collectipvariant

Time: ✅ 40.118µs (SLO: <50.000µs 📉 -19.8%) vs baseline: -0.3%

Memory: ✅ 36.510MB (SLO: <38.750MB -5.8%) vs baseline: +5.6%

✅ no-useragentvariant

Time: ✅ 38.806µs (SLO: <50.000µs 📉 -22.4%) vs baseline: -0.4%

Memory: ✅ 36.589MB (SLO: <38.750MB -5.6%) vs baseline: +5.4%

✅ obfuscation-no-query

Time: ✅ 40.651µs (SLO: <50.000µs 📉 -18.7%) vs baseline: -0.7%

Memory: ✅ 36.549MB (SLO: <38.750MB -5.7%) vs baseline: +5.4%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 76.308µs (SLO: <90.000µs 📉 -15.2%) vs baseline: ~same

Memory: ✅ 36.864MB (SLO: <38.750MB -4.9%) vs baseline: +5.4%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.889µs (SLO: <90.000µs 📉 -14.6%) vs baseline: -0.2%

Memory: ✅ 36.825MB (SLO: <38.750MB -5.0%) vs baseline: +5.4%

✅ obfuscation-send-querystring-disabled

Time: ✅ 155.556µs (SLO: <170.000µs -8.5%) vs baseline: ~same

Memory: ✅ 36.844MB (SLO: <38.750MB -4.9%) vs baseline: +5.5%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 149.749µs (SLO: <160.000µs -6.4%) vs baseline: ~same

Memory: ✅ 36.903MB (SLO: <38.750MB -4.8%) vs baseline: +5.6%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 156.296µs (SLO: <170.000µs -8.1%) vs baseline: ~same

Memory: ✅ 36.923MB (SLO: <38.750MB -4.7%) vs baseline: +5.3%

✅ useragentvariant_exists_1

Time: ✅ 39.467µs (SLO: <50.000µs 📉 -21.1%) vs baseline: -0.3%

Memory: ✅ 36.451MB (SLO: <38.750MB -5.9%) vs baseline: +5.3%

✅ useragentvariant_exists_2

Time: ✅ 40.827µs (SLO: <50.000µs 📉 -18.3%) vs baseline: -0.4%

Memory: ✅ 36.648MB (SLO: <38.750MB -5.4%) vs baseline: +5.3%

✅ useragentvariant_exists_3

Time: ✅ 39.979µs (SLO: <50.000µs 📉 -20.0%) vs baseline: -0.6%

Memory: ✅ 36.628MB (SLO: <38.750MB -5.5%) vs baseline: +5.4%

✅ useragentvariant_not_exists_1

Time: ✅ 39.545µs (SLO: <50.000µs 📉 -20.9%) vs baseline: -0.2%

Memory: ✅ 36.530MB (SLO: <38.750MB -5.7%) vs baseline: +5.0%

✅ useragentvariant_not_exists_2

Time: ✅ 39.554µs (SLO: <50.000µs 📉 -20.9%) vs baseline: -0.4%

Memory: ✅ 36.451MB (SLO: <38.750MB -5.9%) vs baseline: +5.4%

✅ span - 26/26

✅ add-event

Time: ✅ 18.426ms (SLO: <22.500ms 📉 -18.1%) vs baseline: ~same

Memory: ✅ 38.336MB (SLO: <53.000MB 📉 -27.7%) vs baseline: +5.7%

✅ add-metrics

Time: ✅ 87.539ms (SLO: <93.500ms -6.4%) vs baseline: -1.2%

Memory: ✅ 42.566MB (SLO: <53.000MB 📉 -19.7%) vs baseline: +5.1%

✅ add-tags

Time: ✅ 144.316ms (SLO: <155.000ms -6.9%) vs baseline: ~same

Memory: ✅ 42.750MB (SLO: <53.000MB 📉 -19.3%) vs baseline: +5.4%

✅ get-context

Time: ✅ 16.691ms (SLO: <20.500ms 📉 -18.6%) vs baseline: -0.6%

Memory: ✅ 38.398MB (SLO: <53.000MB 📉 -27.6%) vs baseline: +6.5%

✅ is-recording

Time: ✅ 16.752ms (SLO: <20.500ms 📉 -18.3%) vs baseline: -1.0%

Memory: ✅ 38.237MB (SLO: <53.000MB 📉 -27.9%) vs baseline: +6.1%

✅ record-exception

Time: ✅ 37.554ms (SLO: <41.000ms -8.4%) vs baseline: +0.2%

Memory: ✅ 38.791MB (SLO: <53.000MB 📉 -26.8%) vs baseline: +5.6%

✅ set-status

Time: ✅ 18.495ms (SLO: <22.000ms 📉 -15.9%) vs baseline: -0.5%

Memory: ✅ 38.339MB (SLO: <53.000MB 📉 -27.7%) vs baseline: +6.4%

✅ start

Time: ✅ 17.612ms (SLO: <20.500ms 📉 -14.1%) vs baseline: +4.5%

Memory: ✅ 38.339MB (SLO: <53.000MB 📉 -27.7%) vs baseline: +6.3%

✅ start-finish

Time: ✅ 53.108ms (SLO: <56.000ms -5.2%) vs baseline: -0.2%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +5.3%

✅ start-finish-telemetry

Time: ✅ 54.582ms (SLO: <58.000ms -5.9%) vs baseline: ~same

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.7%

✅ start-finish-traceid128

Time: ✅ 55.814ms (SLO: <60.000ms -7.0%) vs baseline: -0.2%

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.5%

✅ start-traceid128

Time: ✅ 16.663ms (SLO: <22.500ms 📉 -25.9%) vs baseline: -0.7%

Memory: ✅ 38.358MB (SLO: <53.000MB 📉 -27.6%) vs baseline: +6.7%

✅ update-name

Time: ✅ 17.235ms (SLO: <22.000ms 📉 -21.7%) vs baseline: -0.5%

Memory: ✅ 38.024MB (SLO: <53.000MB 📉 -28.3%) vs baseline: +5.2%

✅ telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 2.266µs (SLO: <20.000µs 📉 -88.7%) vs baseline: +9.4%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +5.3%

✅ 1-count-metrics-100-times

Time: ✅ 150.033µs (SLO: <220.000µs 📉 -31.8%) vs baseline: -0.3%

Memory: ✅ 35.999MB (SLO: <38.000MB -5.3%) vs baseline: +5.5%

✅ 1-distribution-metric-1-times

Time: ✅ 2.509µs (SLO: <20.000µs 📉 -87.5%) vs baseline: +5.4%

Memory: ✅ 35.960MB (SLO: <38.000MB -5.4%) vs baseline: +5.1%

✅ 1-distribution-metrics-100-times

Time: ✅ 163.497µs (SLO: <230.000µs 📉 -28.9%) vs baseline: -0.2%

Memory: ✅ 35.960MB (SLO: <38.000MB -5.4%) vs baseline: +5.3%

✅ 1-gauge-metric-1-times

Time: ✅ 1.983µs (SLO: <20.000µs 📉 -90.1%) vs baseline: ~same

Memory: ✅ 36.097MB (SLO: <38.000MB -5.0%) vs baseline: +5.6%

✅ 1-gauge-metrics-100-times

Time: ✅ 136.631µs (SLO: <150.000µs -8.9%) vs baseline: ~same

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +5.4%

✅ 1-rate-metric-1-times

Time: ✅ 2.236µs (SLO: <20.000µs 📉 -88.8%) vs baseline: +0.4%

Memory: ✅ 35.920MB (SLO: <38.000MB -5.5%) vs baseline: +5.3%

✅ 1-rate-metrics-100-times

Time: ✅ 162.254µs (SLO: <250.000µs 📉 -35.1%) vs baseline: -1.9%

Memory: ✅ 35.999MB (SLO: <38.000MB -5.3%) vs baseline: +5.5%

✅ 100-count-metrics-100-times

Time: ✅ 15.118ms (SLO: <22.000ms 📉 -31.3%) vs baseline: +0.5%

Memory: ✅ 35.901MB (SLO: <38.000MB -5.5%) vs baseline: +5.3%

✅ 100-distribution-metrics-100-times

Time: ✅ 1.727ms (SLO: <2.550ms 📉 -32.3%) vs baseline: +1.0%

Memory: ✅ 35.920MB (SLO: <38.000MB -5.5%) vs baseline: +5.2%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.413ms (SLO: <1.550ms -8.9%) vs baseline: +0.2%

Memory: ✅ 35.979MB (SLO: <38.000MB -5.3%) vs baseline: +5.2%

✅ 100-rate-metrics-100-times

Time: ✅ 1.693ms (SLO: <2.550ms 📉 -33.6%) vs baseline: +0.7%

Memory: ✅ 36.019MB (SLO: <38.000MB -5.2%) vs baseline: +5.6%

✅ flush-1-metric

Time: ✅ 3.539µs (SLO: <20.000µs 📉 -82.3%) vs baseline: -2.7%

Memory: ✅ 36.038MB (SLO: <38.000MB -5.2%) vs baseline: +5.8%

✅ flush-100-metrics

Time: ✅ 174.391µs (SLO: <250.000µs 📉 -30.2%) vs baseline: +0.7%

Memory: ✅ 36.294MB (SLO: <38.000MB -4.5%) vs baseline: +6.3%

✅ flush-1000-metrics

Time: ✅ 2.184ms (SLO: <2.500ms 📉 -12.6%) vs baseline: +0.6%

Memory: ✅ 36.805MB (SLO: <38.750MB -5.0%) vs baseline: +5.5%

✅ tracer - 6/6

✅ large

Time: ✅ 31.152ms (SLO: <32.950ms -5.5%) vs baseline: -0.5%

Memory: ✅ 37.179MB (SLO: <39.250MB -5.3%) vs baseline: +5.4%

✅ medium

Time: ✅ 3.081ms (SLO: <3.200ms -3.7%) vs baseline: -0.2%

Memory: ✅ 36.038MB (SLO: <38.750MB -7.0%) vs baseline: +5.4%

✅ small

Time: ✅ 359.320µs (SLO: <370.000µs -2.9%) vs baseline: +3.0%

Memory: ✅ 35.979MB (SLO: <38.750MB -7.2%) vs baseline: +5.3%

ℹ️ Scenarios Missing SLO Configuration (46 scenarios)

The following scenarios exist in candidate data but have no SLO thresholds configured:

  • coreapiscenario-core_dispatch_listeners
  • coreapiscenario-core_dispatch_no_listeners
  • coreapiscenario-core_dispatch_with_results_listeners
  • coreapiscenario-core_dispatch_with_results_no_listeners
  • djangosimple-baseline
  • errortrackingdjangosimple-baseline
  • errortrackingflasksqli-baseline
  • flasksimple-baseline
  • flasksqli-baseline
  • iast_aspects-re_expand_aspect
  • iast_aspects-re_expand_noaspect
  • iast_aspects-re_findall_aspect
  • iast_aspects-re_findall_noaspect
  • iast_aspects-re_finditer_aspect
  • iast_aspects-re_finditer_noaspect
  • iast_aspects-re_fullmatch_aspect
  • iast_aspects-re_fullmatch_noaspect
  • iast_aspects-re_group_aspect
  • iast_aspects-re_group_noaspect
  • iast_aspects-re_groups_aspect
  • iast_aspects-re_groups_noaspect
  • iast_aspects-re_match_aspect
  • iast_aspects-re_match_noaspect
  • iast_aspects-re_search_aspect
  • iast_aspects-re_search_noaspect
  • iast_aspects-re_sub_aspect
  • iast_aspects-re_sub_noaspect
  • iast_aspects-re_subn_aspect
  • iast_aspects-re_subn_noaspect
  • sethttpmeta-obfuscation-disabled
  • startup-baseline
  • startup-baseline_django
  • startup-baseline_flask
  • startup-ddtrace_run
  • startup-ddtrace_run_appsec
  • startup-ddtrace_run_profiling
  • startup-ddtrace_run_runtime_metrics
  • startup-ddtrace_run_send_span
  • startup-ddtrace_run_telemetry_disabled
  • startup-ddtrace_run_telemetry_enabled
  • startup-import_ddtrace
  • startup-import_ddtrace_auto
  • startup-import_ddtrace_auto_django
  • startup-import_ddtrace_auto_flask
  • startup-import_ddtrace_django
  • startup-import_ddtrace_flask

@datadog-datadog-prod-us1-2
Copy link

datadog-datadog-prod-us1-2 bot commented Mar 3, 2026 •
edited by datadog-datadog-prod-us1 bot
Loading

⚠️ Tests

✨ Fix all issues with BitsAI or with Cursor

⚠️ Warnings

🧪 5 Tests failed

❄️ Known flaky: test_send_on_exit[py3.10] from test_llmobs_span_agentless_writer.py (Datadog) (Fix with Cursor) 
assert (b'"status":"403"' in b'failed to send 1 LLMObs span events to https://llmobs-intake.datad0g.com/api/v2/llmobs, got response code 403, status: b\'{"errors":["Forbidden","API key is missing or invalid"]}\'\n')
❄️ Known flaky: test_send_on_exit[py3.11] from test_llmobs_span_agentless_writer.py (Datadog) (Fix with Cursor) 
assert (b'"status":"403"' in b'failed to send 1 LLMObs span events to https://llmobs-intake.datad0g.com/api/v2/llmobs, got response code 403, status: b\'{"errors":["Forbidden","API key is missing or invalid"]}\'\n')
❄️ Known flaky: test_send_on_exit[py3.12] from test_llmobs_span_agentless_writer.py (Datadog) (Fix with Cursor) 
assert (b'"status":"403"' in b'failed to send 1 LLMObs span events to https://llmobs-intake.datad0g.com/api/v2/llmobs, got response code 403, status: b\'{"errors":["Forbidden","API key is missing or invalid"]}\'\n')
View all

ℹ️ Info

❄️ No new flaky tests detected

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 7e7960f | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

@yshapiro-57 yshapiro-57 removed the changelog/no-changelog A changelog entry is not required for this PR. label Mar 3, 2026
@yshapiro-57 yshapiro-57 marked this pull request as ready for review March 3, 2026 23:10
@yshapiro-57 yshapiro-57 requested review from a team as code owners March 3, 2026 23:10
chatgpt-codex-connector[bot]
chatgpt-codex-connector bot reviewed Mar 3, 2026
View reviewed changes
Copy link

@chatgpt-codex-connector chatgpt-codex-connector bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 797a790a26

ℹ️ About Codex in GitHub

Codex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you

  • Open a pull request for review
  • Mark a draft as ready
  • Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "@codex address that feedback".

ddtrace/contrib/internal/mlflow/auth_plugin.py Outdated
Returns:
bool: True if DD_API_KEY and DD_APP_KEY environment variables are set, False otherwise.
"""
return "DD_API_KEY" in os.environ and "DD_APP_KEY" in os.environ
Copy link

@chatgpt-codex-connector chatgpt-codex-connector bot Mar 3, 2026

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

P1 Badge Restrict Datadog key injection to Datadog tracking hosts

The provider is enabled solely by environment variables (DD_API_KEY/DD_APP_KEY) and does not check the MLflow tracking destination, so request_headers() will attach Datadog credentials to any MLflow server URL when those vars are set. This means users running MLflow against self-hosted or third-party tracking servers while also exporting Datadog keys can leak both secrets over outbound requests; please gate this provider to Datadog tracking URIs (or an explicit opt-in) before injecting headers.

Useful? React with 👍 / 👎.

emmettbutler
emmettbutler requested changes Mar 4, 2026
View reviewed changes
jboolean
jboolean reviewed Mar 5, 2026
View reviewed changes
Copy link
Contributor

@jboolean jboolean left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Seems like it should likely be gated to datadog servers. codex had the same comment.

ddtrace/contrib/internal/mlflow/auth_plugin.py
pass


class DatadogHeaderProvider(RequestHeaderProvider):
Copy link
Contributor

@jboolean jboolean Mar 5, 2026

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Is there any opt-in or does it send these keys to any server when the tracer is enabled?

If users have their own tracking server and are using dd-trace-py for general instrumentation might we start sending keys to other servers? An unlikely but slightly concerning scenario.

Copy link
Contributor Author

@yshapiro-57 yshapiro-57 Mar 5, 2026

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Yes, I've addressed Codex's comment by requiring the user to set the DD_MODEL_LAB_ENABLED environment variable to a truthy value. If they do not set it, we will not inject headers in requests even if the DD_API_KEY and DD_APP_KEY environment variables are set.

@yshapiro-57 yshapiro-57 requested a review from a team as a code owner March 5, 2026 21:20
@yshapiro-57 yshapiro-57 requested a review from mabdinur March 5, 2026 21:20
@yshapiro-57 yshapiro-57 requested a review from emmettbutler March 5, 2026 21:40
@yshapiro-57
Copy link
Contributor Author

yshapiro-57 commented Mar 5, 2026

@emmettbutler thank you for the review! I have addressed both of your comments, this is ready for another look!

@yshapiro-57
Copy link
Contributor Author

yshapiro-57 commented Mar 5, 2026

I have created https://github.com/DataDog/dd-go/pull/225728 to make the system tests pass, I will reflect it in the system tests repo once I merge it into dd-go

@dubloom dubloom mentioned this pull request Mar 6, 2026
Open
@yshapiro-57 yshapiro-57 mentioned this pull request Mar 6, 2026
Open
5 tasks
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@jboolean jboolean jboolean left review comments

@chatgpt-codex-connector chatgpt-codex-connector[bot] chatgpt-codex-connector[bot] left review comments

@emmettbutler emmettbutler emmettbutler approved these changes

@P403n1x87 P403n1x87 Awaiting requested review from P403n1x87 P403n1x87 is a code owner automatically assigned from DataDog/python-guild

@ncybul ncybul Awaiting requested review from ncybul ncybul is a code owner automatically assigned from DataDog/apm-python

@quinna-h quinna-h Awaiting requested review from quinna-h quinna-h is a code owner automatically assigned from DataDog/apm-idm-python

@mabdinur mabdinur Awaiting requested review from mabdinur mabdinur is a code owner automatically assigned from DataDog/apm-sdk-capabilities-python

At least 1 approving review is required to merge this pull request.

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

3 participants

@yshapiro-57 @jboolean @emmettbutler