feat(llmobs): allow versioned dataset pulling #14921

gary-huang · 2025-10-16T19:37:55Z

Description

this PR allows users to optionally pull a specific version of a dataset by specifying the version in the pull_dataset call

Testing

with the following script to first pull the latest version, then a specified version, and a non existent version, we get the following output:

import os
import math

from dotenv import load_dotenv
# Load environment variables from the .env file.
load_dotenv(override=True)

from typing import Dict, Any

from ddtrace.llmobs import LLMObs


LLMObs.enable(api_key=os.getenv("DD_API_KEY"), app_key=os.getenv("DD_APPLICATION_KEY"),  project_name="Onboarding", ml_app="Onboarding-ML-App")

import ddtrace
print(ddtrace.get_version())


dataset = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project")
print("LATEST VERSION")
print(dataset.as_dataframe())

print(f"version: {dataset.version}")
print(f"current version: {dataset.current_version}")

print(dataset.url)

print("\nOLDER BELOW")
dataset1 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=5)

print(dataset1.as_dataframe())

print(f"version: {dataset1.version}")
print(f"current version: {dataset1.current_version}")

print(dataset1.url)

dataset2 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=500)
print("\nNON EXISTENT VERSION")
print(dataset2.as_dataframe())

print(f"version: {dataset2.version}")
print(f"current version: {dataset2.current_version}")

print(dataset2.url)

output:

3.17.0.dev70+g6cf1a5a8f
LATEST VERSION
unexpected metadata format <class 'str'>
                                              input_data                                    expected_output

0      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
1      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
2      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
3      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
4      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
...                                                  ...                                                ...
45000  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
45001  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
45002  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
45003  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
45004                                              first                                                  1

[45005 rows x 2 columns]
version: 6
current version: 6
https://app.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e

OLDER BELOW
                                              input_data                                    expected_output

0      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
1      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
2      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
3      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
4      aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
...                                                  ...                                                ...
34999  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
35000  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
35001  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
35002  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...
35003                                              first                                                  1

[35004 rows x 2 columns]
version: 5
current version: 6
https://app.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e
Traceback (most recent call last):
  File "/Users/gary.huang/go/src/github.com/DataDog/llm-observability/preview/experiments/notebooks/test-big-pull.py", line 42, in <module>
    dataset2 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=500)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gary.huang/go/src/github.com/DataDog/dd-trace-py/ddtrace/llmobs/_llmobs.py", line 673, in pull_dataset
    ds = cls._instance._dne_client.dataset_get_with_records(dataset_name, (project_name or cls._project_name), version)
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gary.huang/go/src/github.com/DataDog/dd-trace-py/ddtrace/llmobs/_writer.py", line 493, in dataset_get_with_records
    raise ValueError(
ValueError: Failed to pull dataset records for 1-then-big-gh-09021124, page=0: 400 {'errors': [{'title': 'Generic Error', 'detail': 'invalid version: version is greater than the current version or negative'}]}

the number of entries match the different versions of the dataset: https://dddev.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e

Risks

Additional Notes

github-actions · 2025-10-16T19:38:34Z

CODEOWNERS have been resolved as:

releasenotes/notes/llmobs-dne-allow-versioned-dataset-pull-c7017f982b2c1f5b.yaml  @DataDog/apm-python
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_0bb93ae7-43c4-48ff-91e4-d2817fee85fe_batch_update_post_aa45718c.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_0bb93ae7-43c4-48ff-91e4-d2817fee85fe_records_filter_version__420_get_0060e684.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_batch_update_post_0226e07c.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_batch_update_post_b64aaeeb.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_records_filter_version__1_get_bcd9fab6.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_records_get_eea1d61b.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_delete_post_3f1a88cb.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_delete_post_516a93fa.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_f0a6723e-a7e8-4efd-a94a-b892b7b6fbf9_datasets_filter_name__test-dataset-test_dataset_pull_w_invalid_version_test_dataset_records0__get_12b16625.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_f0a6723e-a7e8-4efd-a94a-b892b7b6fbf9_datasets_filter_name__test-dataset-test_dataset_pull_w_versions_test_dataset_records0__get_5cf2366a.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_f0a6723e-a7e8-4efd-a94a-b892b7b6fbf9_datasets_post_5a9c5f1b.yaml  @DataDog/ml-observability
tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_f0a6723e-a7e8-4efd-a94a-b892b7b6fbf9_datasets_post_f3e0da1c.yaml  @DataDog/ml-observability
ddtrace/llmobs/_experiment.py                                           @DataDog/ml-observability
ddtrace/llmobs/_llmobs.py                                               @DataDog/ml-observability
ddtrace/llmobs/_writer.py                                               @DataDog/ml-observability
tests/llmobs/test_experiments.py                                        @DataDog/ml-observability

github-actions · 2025-10-16T20:03:34Z

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 246 ± 4 ms.

The average import time from base is: 247 ± 3 ms.

The import time difference between this PR and base is: -1.3 ± 0.2 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 1.924 ms (0.78%)

ddtrace.bootstrap.sitecustomize 1.252 ms (0.51%)

ddtrace.bootstrap.preload 1.252 ms (0.51%)

ddtrace.internal.remoteconfig.client 0.623 ms (0.25%)

ddtrace 0.672 ms (0.27%)

ddtrace.internal._unpatched 0.028 ms (0.01%)

json 0.028 ms (0.01%)

json.decoder 0.028 ms (0.01%)

re 0.028 ms (0.01%)

enum 0.028 ms (0.01%)

types 0.028 ms (0.01%)

pr-commenter · 2025-10-16T20:45:43Z

Performance SLOs

Comparing candidate gary/mlob-3837 (1013ec3) with baseline main (0b0f0d3)

❌ Test Failures (1 suite)

❌ otelspan - 20/22

✅ add-event

Time: ✅ 40.299ms (SLO: <47.150ms 📉 -14.5%) vs baseline: +0.2%

Memory: ✅ 43.769MB (SLO: <47.000MB -6.9%) vs baseline: +4.9%

❌ add-metrics

Time: ✅ 317.722ms (SLO: <344.800ms -7.9%) vs baseline: +0.4%

Memory: ❌ 652.050MB (SLO: <630.000MB +3.5%) vs baseline: +4.9%

❌ add-tags

Time: ✅ 288.951ms (SLO: <314.000ms -8.0%) vs baseline: +0.3%

Memory: ❌ 653.484MB (SLO: <630.000MB +3.7%) vs baseline: +5.0%

✅ get-context

Time: ✅ 80.186ms (SLO: <92.350ms 📉 -13.2%) vs baseline: +0.2%

Memory: ✅ 39.663MB (SLO: <46.500MB 📉 -14.7%) vs baseline: +4.9%

✅ is-recording

Time: ✅ 38.436ms (SLO: <44.500ms 📉 -13.6%) vs baseline: +1.2%

Memory: ✅ 43.169MB (SLO: <47.500MB -9.1%) vs baseline: +5.0%

✅ record-exception

Time: ✅ 58.264ms (SLO: <67.650ms 📉 -13.9%) vs baseline: +0.4%

Memory: ✅ 39.832MB (SLO: <47.000MB 📉 -15.3%) vs baseline: +4.7%

✅ set-status

Time: ✅ 43.838ms (SLO: <50.400ms 📉 -13.0%) vs baseline: -0.2%

Memory: ✅ 43.243MB (SLO: <47.000MB -8.0%) vs baseline: +4.9%

✅ start

Time: ✅ 37.256ms (SLO: <43.450ms 📉 -14.3%) vs baseline: ~same

Memory: ✅ 43.211MB (SLO: <47.000MB -8.1%) vs baseline: +5.0%

✅ start-finish

Time: ✅ 82.214ms (SLO: <88.000ms -6.6%) vs baseline: ~same

Memory: ✅ 34.564MB (SLO: <46.500MB 📉 -25.7%) vs baseline: +4.9%

✅ start-finish-telemetry

Time: ✅ 83.935ms (SLO: <89.000ms -5.7%) vs baseline: +0.4%

Memory: ✅ 34.603MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +5.0%

✅ update-name

Time: ✅ 38.799ms (SLO: <45.150ms 📉 -14.1%) vs baseline: +0.5%

Memory: ✅ 43.527MB (SLO: <47.000MB -7.4%) vs baseline: +5.0%

📈 Performance Regressions (2 suites)

📈 iastaspects - 118/118

✅ add_aspect

Time: ✅ 0.407µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.8%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ add_inplace_aspect

Time: ✅ 0.414µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +1.2%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ add_inplace_noaspect

Time: ✅ 0.319µs (SLO: <10.000µs 📉 -96.8%) vs baseline: -0.6%

Memory: ✅ 37.886MB (SLO: <39.000MB -2.9%) vs baseline: +4.4%

✅ add_noaspect

Time: ✅ 0.279µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -1.4%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.9%

✅ bytearray_aspect

Time: ✅ 1.332µs (SLO: <10.000µs 📉 -86.7%) vs baseline: ~same

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.6%

✅ bytearray_extend_aspect

Time: ✅ 1.548µs (SLO: <10.000µs 📉 -84.5%) vs baseline: +1.5%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ bytearray_extend_noaspect

Time: ✅ 0.615µs (SLO: <10.000µs 📉 -93.9%) vs baseline: +0.8%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.6%

✅ bytearray_noaspect

Time: ✅ 0.481µs (SLO: <10.000µs 📉 -95.2%) vs baseline: -0.2%

Memory: ✅ 37.985MB (SLO: <39.000MB -2.6%) vs baseline: +4.6%

✅ bytes_aspect

Time: ✅ 1.279µs (SLO: <10.000µs 📉 -87.2%) vs baseline: -1.0%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ bytes_noaspect

Time: ✅ 0.493µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +0.2%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.9%

✅ bytesio_aspect

Time: ✅ 1.317µs (SLO: <10.000µs 📉 -86.8%) vs baseline: +0.8%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.0%

✅ bytesio_noaspect

Time: ✅ 0.503µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +2.1%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ capitalize_aspect

Time: ✅ 0.736µs (SLO: <10.000µs 📉 -92.6%) vs baseline: +0.6%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ capitalize_noaspect

Time: ✅ 0.432µs (SLO: <10.000µs 📉 -95.7%) vs baseline: -1.2%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ casefold_aspect

Time: ✅ 0.738µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -0.5%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ casefold_noaspect

Time: ✅ 0.368µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.6%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.1%

✅ decode_aspect

Time: ✅ 0.729µs (SLO: <10.000µs 📉 -92.7%) vs baseline: ~same

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ decode_noaspect

Time: ✅ 0.427µs (SLO: <10.000µs 📉 -95.7%) vs baseline: +1.4%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.8%

✅ encode_aspect

Time: ✅ 0.711µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +0.5%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.1%

✅ encode_noaspect

Time: ✅ 0.397µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -1.6%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ format_aspect

Time: ✅ 3.352µs (SLO: <10.000µs 📉 -66.5%) vs baseline: -0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ format_map_aspect

Time: ✅ 3.590µs (SLO: <10.000µs 📉 -64.1%) vs baseline: +0.6%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ format_map_noaspect

Time: ✅ 0.774µs (SLO: <10.000µs 📉 -92.3%) vs baseline: ~same

Memory: ✅ 37.808MB (SLO: <39.000MB -3.1%) vs baseline: +4.1%

✅ format_noaspect

Time: ✅ 0.593µs (SLO: <10.000µs 📉 -94.1%) vs baseline: -0.6%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ index_aspect

Time: ✅ 0.358µs (SLO: <10.000µs 📉 -96.4%) vs baseline: +0.3%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ index_noaspect

Time: ✅ 0.277µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ join_aspect

Time: ✅ 1.314µs (SLO: <10.000µs 📉 -86.9%) vs baseline: -1.0%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ join_noaspect

Time: ✅ 0.489µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.2%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ ljust_aspect

Time: ✅ 2.795µs (SLO: <20.000µs 📉 -86.0%) vs baseline: +6.2%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ ljust_noaspect

Time: ✅ 0.404µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -0.4%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ lower_aspect

Time: ✅ 2.276µs (SLO: <10.000µs 📉 -77.2%) vs baseline: +2.0%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ lower_noaspect

Time: ✅ 0.363µs (SLO: <10.000µs 📉 -96.4%) vs baseline: -2.0%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ lstrip_aspect

Time: ✅ 2.462µs (SLO: <20.000µs 📉 -87.7%) vs baseline: 📈 +12.0%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.9%

✅ lstrip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -1.2%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ modulo_aspect

Time: ✅ 1.008µs (SLO: <10.000µs 📉 -89.9%) vs baseline: +1.4%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.544µs (SLO: <10.000µs 📉 -84.6%) vs baseline: -0.4%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ modulo_aspect_for_bytes

Time: ✅ 0.986µs (SLO: <10.000µs 📉 -90.1%) vs baseline: +1.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.212µs (SLO: <10.000µs 📉 -87.9%) vs baseline: +0.6%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ modulo_noaspect

Time: ✅ 0.621µs (SLO: <10.000µs 📉 -93.8%) vs baseline: -0.2%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ replace_aspect

Time: ✅ 4.829µs (SLO: <10.000µs 📉 -51.7%) vs baseline: -0.7%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.6%

✅ replace_noaspect

Time: ✅ 0.458µs (SLO: <10.000µs 📉 -95.4%) vs baseline: -0.5%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ repr_aspect

Time: ✅ 0.913µs (SLO: <10.000µs 📉 -90.9%) vs baseline: +0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ repr_noaspect

Time: ✅ 0.423µs (SLO: <10.000µs 📉 -95.8%) vs baseline: +0.4%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ rstrip_aspect

Time: ✅ 1.916µs (SLO: <20.000µs 📉 -90.4%) vs baseline: -0.5%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ rstrip_noaspect

Time: ✅ 0.379µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.6%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ slice_aspect

Time: ✅ 0.498µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.3%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ slice_noaspect

Time: ✅ 0.445µs (SLO: <10.000µs 📉 -95.5%) vs baseline: +0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ stringio_aspect

Time: ✅ 1.754µs (SLO: <10.000µs 📉 -82.5%) vs baseline: 📈 +12.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ stringio_noaspect

Time: ✅ 0.714µs (SLO: <10.000µs 📉 -92.9%) vs baseline: -0.7%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ strip_aspect

Time: ✅ 2.212µs (SLO: <20.000µs 📉 -88.9%) vs baseline: +0.2%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ strip_noaspect

Time: ✅ 0.387µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +0.7%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ swapcase_aspect

Time: ✅ 2.559µs (SLO: <10.000µs 📉 -74.4%) vs baseline: +4.2%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.9%

✅ swapcase_noaspect

Time: ✅ 0.537µs (SLO: <10.000µs 📉 -94.6%) vs baseline: -1.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ title_aspect

Time: ✅ 2.401µs (SLO: <10.000µs 📉 -76.0%) vs baseline: ~same

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ title_noaspect

Time: ✅ 0.502µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +0.1%

Memory: ✅ 37.985MB (SLO: <39.000MB -2.6%) vs baseline: +4.7%

✅ translate_aspect

Time: ✅ 3.321µs (SLO: <10.000µs 📉 -66.8%) vs baseline: +1.2%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.8%

✅ translate_noaspect

Time: ✅ 1.037µs (SLO: <10.000µs 📉 -89.6%) vs baseline: ~same

Memory: ✅ 37.867MB (SLO: <39.000MB -2.9%) vs baseline: +4.3%

✅ upper_aspect

Time: ✅ 2.277µs (SLO: <10.000µs 📉 -77.2%) vs baseline: +1.4%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.8%

✅ upper_noaspect

Time: ✅ 0.372µs (SLO: <10.000µs 📉 -96.3%) vs baseline: ~same

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

📈 iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 5.073µs (SLO: <10.000µs 📉 -49.3%) vs baseline: 📈 +17.3%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.6%

✅ ospathbasename_noaspect

Time: ✅ 1.096µs (SLO: <10.000µs 📉 -89.0%) vs baseline: -0.4%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ ospathjoin_aspect

Time: ✅ 6.198µs (SLO: <10.000µs 📉 -38.0%) vs baseline: -0.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.1%

✅ ospathjoin_noaspect

Time: ✅ 2.324µs (SLO: <10.000µs 📉 -76.8%) vs baseline: +0.8%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ ospathnormcase_aspect

Time: ✅ 3.976µs (SLO: <10.000µs 📉 -60.2%) vs baseline: 📈 +12.1%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ ospathnormcase_noaspect

Time: ✅ 0.580µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.3%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ ospathsplit_aspect

Time: ✅ 4.934µs (SLO: <10.000µs 📉 -50.7%) vs baseline: -0.5%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ ospathsplit_noaspect

Time: ✅ 1.595µs (SLO: <10.000µs 📉 -84.0%) vs baseline: -0.7%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ ospathsplitdrive_aspect

Time: ✅ 3.786µs (SLO: <10.000µs 📉 -62.1%) vs baseline: +0.8%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ ospathsplitdrive_noaspect

Time: ✅ 0.705µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +0.5%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.1%

✅ ospathsplitext_aspect

Time: ✅ 5.305µs (SLO: <10.000µs 📉 -46.9%) vs baseline: 📈 +14.8%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ ospathsplitext_noaspect

Time: ✅ 1.380µs (SLO: <10.000µs 📉 -86.2%) vs baseline: -1.0%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

🟡 Near SLO Breach (4 suites)

🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 20.403ms (SLO: <22.300ms -8.5%) vs baseline: -0.3%

Memory: ✅ 65.512MB (SLO: <67.000MB -2.2%) vs baseline: +4.8%

✅ exception-replay-enabled

Time: ✅ 1.341ms (SLO: <1.450ms -7.5%) vs baseline: ~same

Memory: ✅ 64.555MB (SLO: <67.000MB -3.6%) vs baseline: +4.9%

✅ iast

Time: ✅ 20.371ms (SLO: <22.250ms -8.4%) vs baseline: -0.3%

Memory: ✅ 65.393MB (SLO: <67.000MB -2.4%) vs baseline: +4.7%

✅ profiler

Time: ✅ 15.246ms (SLO: <16.550ms -7.9%) vs baseline: +0.2%

Memory: ✅ 53.930MB (SLO: <54.500MB 🟡 -1.0%) vs baseline: +5.1%

✅ resource-renaming

Time: ✅ 20.467ms (SLO: <21.750ms -5.9%) vs baseline: -0.6%

Memory: ✅ 65.440MB (SLO: <67.000MB -2.3%) vs baseline: +4.8%

✅ span-code-origin

Time: ✅ 25.347ms (SLO: <28.200ms 📉 -10.1%) vs baseline: -0.2%

Memory: ✅ 67.553MB (SLO: <69.500MB -2.8%) vs baseline: +4.6%

✅ tracer

Time: ✅ 20.418ms (SLO: <21.750ms -6.1%) vs baseline: -0.2%

Memory: ✅ 65.514MB (SLO: <67.000MB -2.2%) vs baseline: +5.1%

✅ tracer-and-profiler

Time: ✅ 21.955ms (SLO: <23.500ms -6.6%) vs baseline: -0.4%

Memory: ✅ 66.681MB (SLO: <67.500MB 🟡 -1.2%) vs baseline: +4.8%

✅ tracer-dont-create-db-spans

Time: ✅ 19.252ms (SLO: <21.500ms 📉 -10.5%) vs baseline: -0.3%

Memory: ✅ 65.450MB (SLO: <66.000MB 🟡 -0.8%) vs baseline: +4.8%

✅ tracer-minimal

Time: ✅ 16.630ms (SLO: <17.500ms -5.0%) vs baseline: +0.1%

Memory: ✅ 65.413MB (SLO: <66.000MB 🟡 -0.9%) vs baseline: +4.7%

✅ tracer-native

Time: ✅ 20.473ms (SLO: <21.750ms -5.9%) vs baseline: +0.2%

Memory: ✅ 71.261MB (SLO: <72.500MB 🟡 -1.7%) vs baseline: +4.7%

✅ tracer-no-caches

Time: ✅ 18.426ms (SLO: <19.650ms -6.2%) vs baseline: ~same

Memory: ✅ 65.422MB (SLO: <67.000MB -2.4%) vs baseline: +4.7%

✅ tracer-no-databases

Time: ✅ 18.721ms (SLO: <20.100ms -6.9%) vs baseline: -0.2%

Memory: ✅ 65.429MB (SLO: <67.000MB -2.3%) vs baseline: +4.8%

✅ tracer-no-middleware

Time: ✅ 20.143ms (SLO: <21.500ms -6.3%) vs baseline: +0.2%

Memory: ✅ 65.412MB (SLO: <67.000MB -2.4%) vs baseline: +4.8%

✅ tracer-no-templates

Time: ✅ 20.219ms (SLO: <22.000ms -8.1%) vs baseline: -0.4%

Memory: ✅ 65.462MB (SLO: <67.000MB -2.3%) vs baseline: +4.8%

🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 18.151ms (SLO: <19.850ms -8.6%) vs baseline: +0.6%

Memory: ✅ 65.333MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +5.0%

✅ errortracking-enabled-user

Time: ✅ 18.040ms (SLO: <19.400ms -7.0%) vs baseline: ~same

Memory: ✅ 65.174MB (SLO: <66.500MB 🟡 -2.0%) vs baseline: +4.7%

✅ tracer-enabled

Time: ✅ 18.163ms (SLO: <19.450ms -6.6%) vs baseline: +0.3%

Memory: ✅ 65.274MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +4.9%

🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 4.586ms (SLO: <4.750ms -3.4%) vs baseline: +0.2%

Memory: ✅ 61.971MB (SLO: <65.000MB -4.7%) vs baseline: +5.0%

✅ appsec-post

Time: ✅ 6.615ms (SLO: <6.750ms 🟡 -2.0%) vs baseline: ~same

Memory: ✅ 61.951MB (SLO: <65.000MB -4.7%) vs baseline: +4.8%

✅ appsec-telemetry

Time: ✅ 4.587ms (SLO: <4.750ms -3.4%) vs baseline: +0.3%

Memory: ✅ 61.951MB (SLO: <65.000MB -4.7%) vs baseline: +4.7%

✅ debugger

Time: ✅ 1.859ms (SLO: <2.000ms -7.1%) vs baseline: +0.1%

Memory: ✅ 45.475MB (SLO: <47.000MB -3.2%) vs baseline: +4.9%

✅ iast-get

Time: ✅ 1.861ms (SLO: <2.000ms -6.9%) vs baseline: ~same

Memory: ✅ 42.330MB (SLO: <49.000MB 📉 -13.6%) vs baseline: +5.0%

✅ profiler

Time: ✅ 1.912ms (SLO: <2.100ms -9.0%) vs baseline: -0.1%

Memory: ✅ 46.478MB (SLO: <47.000MB 🟡 -1.1%) vs baseline: +4.9%

✅ resource-renaming

Time: ✅ 3.377ms (SLO: <3.650ms -7.5%) vs baseline: +0.4%

Memory: ✅ 52.199MB (SLO: <53.500MB -2.4%) vs baseline: +4.7%

✅ tracer

Time: ✅ 3.362ms (SLO: <3.650ms -7.9%) vs baseline: +0.2%

Memory: ✅ 52.298MB (SLO: <53.500MB -2.2%) vs baseline: +4.8%

✅ tracer-native

Time: ✅ 3.361ms (SLO: <3.650ms -7.9%) vs baseline: ~same

Memory: ✅ 58.227MB (SLO: <60.000MB -3.0%) vs baseline: +4.9%

🟡 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 3.204µs (SLO: <20.000µs 📉 -84.0%) vs baseline: +9.5%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.9%

✅ 1-count-metrics-100-times

Time: ✅ 201.541µs (SLO: <220.000µs -8.4%) vs baseline: +0.6%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 1-distribution-metric-1-times

Time: ✅ 3.288µs (SLO: <20.000µs 📉 -83.6%) vs baseline: +0.1%

Memory: ✅ 32.106MB (SLO: <34.000MB -5.6%) vs baseline: +4.8%

✅ 1-distribution-metrics-100-times

Time: ✅ 218.245µs (SLO: <220.000µs 🟡 -0.8%) vs baseline: +2.0%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.9%

✅ 1-gauge-metric-1-times

Time: ✅ 2.386µs (SLO: <20.000µs 📉 -88.1%) vs baseline: +9.8%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.9%

✅ 1-gauge-metrics-100-times

Time: ✅ 136.610µs (SLO: <150.000µs -8.9%) vs baseline: ~same

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.6%

✅ 1-rate-metric-1-times

Time: ✅ 3.037µs (SLO: <20.000µs 📉 -84.8%) vs baseline: -1.0%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.7%

✅ 1-rate-metrics-100-times

Time: ✅ 214.389µs (SLO: <250.000µs 📉 -14.2%) vs baseline: -0.6%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) vs baseline: +4.8%

✅ 100-count-metrics-100-times

Time: ✅ 20.464ms (SLO: <22.000ms -7.0%) vs baseline: +0.6%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +4.9%

✅ 100-distribution-metrics-100-times

Time: ✅ 2.238ms (SLO: <2.300ms -2.7%) vs baseline: +0.2%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.2%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.415ms (SLO: <1.550ms -8.7%) vs baseline: +0.3%

Memory: ✅ 32.067MB (SLO: <34.000MB -5.7%) vs baseline: +4.7%

✅ 100-rate-metrics-100-times

Time: ✅ 2.228ms (SLO: <2.550ms 📉 -12.6%) vs baseline: +1.0%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +5.0%

✅ flush-1-metric

Time: ✅ 4.904µs (SLO: <20.000µs 📉 -75.5%) vs baseline: +9.8%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.6%

✅ flush-100-metrics

Time: ✅ 174.109µs (SLO: <250.000µs 📉 -30.4%) vs baseline: -0.4%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +5.0%

✅ flush-1000-metrics

Time: ✅ 2.107ms (SLO: <2.500ms 📉 -15.7%) vs baseline: -1.3%

Memory: ✅ 32.971MB (SLO: <34.500MB -4.4%) vs baseline: +5.0%

⚠️ Unstable Tests (1 suite)

⚠️

coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.297µs (SLO: <20.000µs 📉 -33.5%) vs baseline: +0.2%

Memory: ✅ 32.126MB (SLO: <33.500MB -4.1%) vs baseline: +4.7%

✅ context_with_data_no_listeners

Time: ✅ 3.297µs (SLO: <10.000µs 📉 -67.0%) vs baseline: -0.9%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ get_item_exists

Time: ✅ 0.588µs (SLO: <10.000µs 📉 -94.1%) vs baseline: -0.3%

Memory: ✅ 32.126MB (SLO: <33.500MB -4.1%) vs baseline: +5.1%

✅ get_item_missing

Time: ✅ 0.640µs (SLO: <10.000µs 📉 -93.6%) vs baseline: +0.4%

Memory: ✅ 32.106MB (SLO: <33.500MB -4.2%) vs baseline: +4.9%

✅ set_item

Time: ✅ 24.060µs (SLO: <30.000µs 📉 -19.8%) vs baseline: -0.7%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.9%

✅ All Tests Passing (16 suites)

✅ errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.066ms (SLO: <2.300ms 📉 -10.2%) vs baseline: ~same

Memory: ✅ 51.963MB (SLO: <53.500MB -2.9%) vs baseline: +4.5%

✅ errortracking-enabled-user

Time: ✅ 2.092ms (SLO: <2.250ms -7.0%) vs baseline: +1.0%

Memory: ✅ 51.944MB (SLO: <53.500MB -2.9%) vs baseline: +4.5%

✅ tracer-enabled

Time: ✅ 2.079ms (SLO: <2.300ms -9.6%) vs baseline: +0.4%

Memory: ✅ 52.042MB (SLO: <53.500MB -2.7%) vs baseline: +4.6%

✅ flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 3.949ms (SLO: <4.200ms -6.0%) vs baseline: -0.2%

Memory: ✅ 62.226MB (SLO: <66.000MB -5.7%) vs baseline: +4.7%

✅ iast-enabled

Time: ✅ 2.445ms (SLO: <2.800ms 📉 -12.7%) vs baseline: +0.4%

Memory: ✅ 58.629MB (SLO: <60.000MB -2.3%) vs baseline: +4.7%

✅ tracer-enabled

Time: ✅ 2.067ms (SLO: <2.250ms -8.1%) vs baseline: +0.5%

Memory: ✅ 52.219MB (SLO: <54.500MB -4.2%) vs baseline: +5.0%

✅ httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 81.902µs (SLO: <100.000µs 📉 -18.1%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ b3_headers

Time: ✅ 14.185µs (SLO: <20.000µs 📉 -29.1%) vs baseline: ~same

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.2%

✅ b3_single_headers

Time: ✅ 13.292µs (SLO: <20.000µs 📉 -33.5%) vs baseline: +0.6%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 64.091µs (SLO: <80.000µs 📉 -19.9%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 66.725µs (SLO: <80.000µs 📉 -16.6%) vs baseline: +0.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ empty_headers

Time: ✅ 1.598µs (SLO: <10.000µs 📉 -84.0%) vs baseline: -0.1%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.6%

✅ full_t_id_datadog_headers

Time: ✅ 23.151µs (SLO: <30.000µs 📉 -22.8%) vs baseline: +1.4%

Memory: ✅ 32.126MB (SLO: <33.500MB -4.1%) vs baseline: +4.5%

✅ invalid_priority_header

Time: ✅ 6.518µs (SLO: <10.000µs 📉 -34.8%) vs baseline: ~same

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ invalid_span_id_header

Time: ✅ 6.506µs (SLO: <10.000µs 📉 -34.9%) vs baseline: -0.6%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ invalid_tags_header

Time: ✅ 6.500µs (SLO: <10.000µs 📉 -35.0%) vs baseline: ~same

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ invalid_trace_id_header

Time: ✅ 6.533µs (SLO: <10.000µs 📉 -34.7%) vs baseline: +0.5%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ large_header_no_matches

Time: ✅ 27.587µs (SLO: <30.000µs -8.0%) vs baseline: +0.3%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.9%

✅ large_valid_headers_all

Time: ✅ 28.630µs (SLO: <40.000µs 📉 -28.4%) vs baseline: -0.3%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ medium_header_no_matches

Time: ✅ 9.859µs (SLO: <20.000µs 📉 -50.7%) vs baseline: +0.8%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ medium_valid_headers_all

Time: ✅ 11.245µs (SLO: <20.000µs 📉 -43.8%) vs baseline: +0.2%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ none_propagation_style

Time: ✅ 1.714µs (SLO: <10.000µs 📉 -82.9%) vs baseline: +0.1%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ tracecontext_headers

Time: ✅ 34.478µs (SLO: <40.000µs 📉 -13.8%) vs baseline: +0.3%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ valid_headers_all

Time: ✅ 6.482µs (SLO: <10.000µs 📉 -35.2%) vs baseline: -0.2%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ valid_headers_basic

Time: ✅ 6.100µs (SLO: <10.000µs 📉 -39.0%) vs baseline: -0.3%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.9%

✅ wsgi_empty_headers

Time: ✅ 1.597µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.6%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.8%

✅ wsgi_invalid_priority_header

Time: ✅ 6.563µs (SLO: <10.000µs 📉 -34.4%) vs baseline: +0.8%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.598µs (SLO: <10.000µs 📉 -84.0%) vs baseline: -0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_invalid_tags_header

Time: ✅ 6.586µs (SLO: <10.000µs 📉 -34.1%) vs baseline: +0.6%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_invalid_trace_id_header

Time: ✅ 6.555µs (SLO: <10.000µs 📉 -34.5%) vs baseline: -0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_large_header_no_matches

Time: ✅ 28.880µs (SLO: <40.000µs 📉 -27.8%) vs baseline: +0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.926µs (SLO: <40.000µs 📉 -25.2%) vs baseline: -0.3%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.9%

✅ wsgi_medium_header_no_matches

Time: ✅ 10.192µs (SLO: <20.000µs 📉 -49.0%) vs baseline: -0.2%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.627µs (SLO: <20.000µs 📉 -41.9%) vs baseline: +0.9%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +5.1%

✅ wsgi_valid_headers_all

Time: ✅ 6.573µs (SLO: <10.000µs 📉 -34.3%) vs baseline: +0.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_valid_headers_basic

Time: ✅ 6.145µs (SLO: <10.000µs 📉 -38.6%) vs baseline: +1.1%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 22.266µs (SLO: <30.000µs 📉 -25.8%) vs baseline: +3.4%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ with_all

Time: ✅ 29.859µs (SLO: <40.000µs 📉 -25.4%) vs baseline: +3.8%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ with_dd_origin

Time: ✅ 26.180µs (SLO: <30.000µs 📉 -12.7%) vs baseline: +3.9%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ with_priority_and_origin

Time: ✅ 24.732µs (SLO: <40.000µs 📉 -38.2%) vs baseline: +0.3%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_sampling_priority

Time: ✅ 22.376µs (SLO: <30.000µs 📉 -25.4%) vs baseline: +3.6%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ with_tags

Time: ✅ 28.155µs (SLO: <40.000µs 📉 -29.6%) vs baseline: +4.3%

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ with_tags_invalid

Time: ✅ 28.371µs (SLO: <40.000µs 📉 -29.1%) vs baseline: -0.5%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +5.1%

✅ with_tags_max_size

Time: ✅ 28.169µs (SLO: <40.000µs 📉 -29.6%) vs baseline: +2.8%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 32.586µs (SLO: <40.000µs 📉 -18.5%) vs baseline: +2.6%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ re_expand_noaspect

Time: ✅ 28.809µs (SLO: <40.000µs 📉 -28.0%) vs baseline: +0.6%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ re_findall_aspect

Time: ✅ 2.878µs (SLO: <10.000µs 📉 -71.2%) vs baseline: -1.0%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ re_findall_noaspect

Time: ✅ 1.437µs (SLO: <10.000µs 📉 -85.6%) vs baseline: +1.1%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ re_finditer_aspect

Time: ✅ 4.453µs (SLO: <10.000µs 📉 -55.5%) vs baseline: -0.5%

Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ re_finditer_noaspect

Time: ✅ 1.416µs (SLO: <10.000µs 📉 -85.8%) vs baseline: +0.8%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +5.0%

✅ re_fullmatch_aspect

Time: ✅ 2.659µs (SLO: <10.000µs 📉 -73.4%) vs baseline: ~same

Memory: ✅ 37.749MB (SLO: <39.000MB -3.2%) vs baseline: +5.0%

✅ re_fullmatch_noaspect

Time: ✅ 1.287µs (SLO: <10.000µs 📉 -87.1%) vs baseline: -0.7%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ re_group_aspect

Time: ✅ 2.995µs (SLO: <10.000µs 📉 -70.1%) vs baseline: +3.1%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ re_group_noaspect

Time: ✅ 1.612µs (SLO: <10.000µs 📉 -83.9%) vs baseline: +0.7%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.9%

✅ re_groups_aspect

Time: ✅ 3.066µs (SLO: <10.000µs 📉 -69.3%) vs baseline: +0.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ re_groups_noaspect

Time: ✅ 1.698µs (SLO: <10.000µs 📉 -83.0%) vs baseline: +0.4%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.7%

✅ re_match_aspect

Time: ✅ 2.674µs (SLO: <10.000µs 📉 -73.3%) vs baseline: -0.3%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.6%

✅ re_match_noaspect

Time: ✅ 1.299µs (SLO: <10.000µs 📉 -87.0%) vs baseline: -0.7%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ re_search_aspect

Time: ✅ 2.543µs (SLO: <10.000µs 📉 -74.6%) vs baseline: +0.2%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ re_search_noaspect

Time: ✅ 1.210µs (SLO: <10.000µs 📉 -87.9%) vs baseline: +0.9%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ re_sub_aspect

Time: ✅ 3.461µs (SLO: <10.000µs 📉 -65.4%) vs baseline: +0.6%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +5.0%

✅ re_sub_noaspect

Time: ✅ 1.560µs (SLO: <10.000µs 📉 -84.4%) vs baseline: +2.0%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ re_subn_aspect

Time: ✅ 3.644µs (SLO: <10.000µs 📉 -63.6%) vs baseline: -0.8%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ re_subn_noaspect

Time: ✅ 1.643µs (SLO: <10.000µs 📉 -83.6%) vs baseline: +2.2%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.1%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.408µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -0.3%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9%

✅ rsplit_noaspect

Time: ✅ 0.578µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.3%

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.8%

✅ split_aspect

Time: ✅ 1.379µs (SLO: <10.000µs 📉 -86.2%) vs baseline: -1.0%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ split_noaspect

Time: ✅ 0.575µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.4%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%

✅ splitlines_aspect

Time: ✅ 1.373µs (SLO: <10.000µs 📉 -86.3%) vs baseline: -0.8%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ splitlines_noaspect

Time: ✅ 0.581µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.6%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%

✅ iastpropagation - 2/2

✅ no-propagation

Time: ✅ 49.571µs (SLO: <60.000µs 📉 -17.4%) vs baseline: +0.4%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 41.067ms (SLO: <42.000ms -2.2%) vs baseline: +1.4%

Memory: ✅ 34.918MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +4.7%

✅ add-link

Time: ✅ 36.472ms (SLO: <38.550ms -5.4%) vs baseline: +0.8%

Memory: ✅ 34.603MB (SLO: <39.000MB 📉 -11.3%) vs baseline: +3.8%

✅ add-metrics

Time: ✅ 220.327ms (SLO: <232.000ms -5.0%) vs baseline: ~same

Memory: ✅ 34.898MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +4.8%

✅ add-tags

Time: ✅ 210.617ms (SLO: <221.600ms -5.0%) vs baseline: -0.4%

Memory: ✅ 34.977MB (SLO: <39.000MB 📉 -10.3%) vs baseline: +5.0%

✅ get-context

Time: ✅ 29.083ms (SLO: <31.300ms -7.1%) vs baseline: +0.2%

Memory: ✅ 34.859MB (SLO: <39.000MB 📉 -10.6%) vs baseline: +4.8%

✅ is-recording

Time: ✅ 29.191ms (SLO: <31.000ms -5.8%) vs baseline: +0.5%

Memory: ✅ 34.878MB (SLO: <39.000MB 📉 -10.6%) vs baseline: +5.2%

✅ record-exception

Time: ✅ 63.363ms (SLO: <65.850ms -3.8%) vs baseline: +0.5%

Memory: ✅ 34.859MB (SLO: <39.000MB 📉 -10.6%) vs baseline: +4.6%

✅ set-status

Time: ✅ 32.017ms (SLO: <34.150ms -6.2%) vs baseline: +0.2%

Memory: ✅ 34.878MB (SLO: <39.000MB 📉 -10.6%) vs baseline: +5.0%

✅ start

Time: ✅ 28.888ms (SLO: <30.150ms -4.2%) vs baseline: +0.3%

Memory: ✅ 34.701MB (SLO: <39.000MB 📉 -11.0%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 33.930ms (SLO: <35.350ms -4.0%) vs baseline: -0.4%

Memory: ✅ 34.898MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +5.3%

✅ start-finish-telemetry

Time: ✅ 34.086ms (SLO: <35.450ms -3.8%) vs baseline: +0.9%

Memory: ✅ 34.977MB (SLO: <39.000MB 📉 -10.3%) vs baseline: +4.9%

✅ update-name

Time: ✅ 31.110ms (SLO: <33.400ms -6.9%) vs baseline: +0.6%

Memory: ✅ 34.898MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +5.9%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 340.457ms (SLO: <354.300ms -3.9%) vs baseline: -0.8%

Memory: ✅ 37.907MB (SLO: <40.000MB -5.2%) vs baseline: +4.9%

✅ cache_on

Time: ✅ 0.389µs (SLO: <10.000µs 📉 -96.1%) vs baseline: -0.4%

Memory: ✅ 37.051MB (SLO: <39.000MB -5.0%) vs baseline: +6.8%

✅ packagesupdateimporteddependencies - 24/24

✅ import_many

Time: ✅ 155.963µs (SLO: <170.000µs -8.3%) vs baseline: +0.3%

Memory: ✅ 36.796MB (SLO: <38.500MB -4.4%) vs baseline: +4.7%

✅ import_many_cached

Time: ✅ 120.709µs (SLO: <130.000µs -7.1%) vs baseline: -1.1%

Memory: ✅ 36.692MB (SLO: <38.500MB -4.7%) vs baseline: +3.9%

✅ import_many_stdlib

Time: ✅ 1.630ms (SLO: <1.750ms -6.9%) vs baseline: ~same

Memory: ✅ 36.958MB (SLO: <38.500MB -4.0%) vs baseline: +4.2%

✅ import_many_stdlib_cached

Time: ✅ 0.978ms (SLO: <1.100ms 📉 -11.1%) vs baseline: -0.2%

Memory: ✅ 36.861MB (SLO: <38.500MB -4.3%) vs baseline: +5.1%

✅ import_many_unknown

Time: ✅ 823.050µs (SLO: <890.000µs -7.5%) vs baseline: -2.0%

Memory: ✅ 36.891MB (SLO: <38.500MB -4.2%) vs baseline: +4.7%

✅ import_many_unknown_cached

Time: ✅ 798.953µs (SLO: <870.000µs -8.2%) vs baseline: +1.7%

Memory: ✅ 37.000MB (SLO: <38.500MB -3.9%) vs baseline: +5.1%

✅ import_one

Time: ✅ 19.719µs (SLO: <30.000µs 📉 -34.3%) vs baseline: -0.3%

Memory: ✅ 36.743MB (SLO: <39.000MB -5.8%) vs baseline: +4.0%

✅ import_one_cache

Time: ✅ 6.309µs (SLO: <10.000µs 📉 -36.9%) vs baseline: +0.3%

Memory: ✅ 36.848MB (SLO: <38.500MB -4.3%) vs baseline: +4.5%

✅ import_one_stdlib

Time: ✅ 18.662µs (SLO: <20.000µs -6.7%) vs baseline: -0.4%

Memory: ✅ 36.826MB (SLO: <38.500MB -4.3%) vs baseline: +4.5%

✅ import_one_stdlib_cache

Time: ✅ 6.327µs (SLO: <10.000µs 📉 -36.7%) vs baseline: +0.3%

Memory: ✅ 36.724MB (SLO: <38.500MB -4.6%) vs baseline: +4.0%

✅ import_one_unknown

Time: ✅ 45.548µs (SLO: <50.000µs -8.9%) vs baseline: +0.5%

Memory: ✅ 36.782MB (SLO: <38.500MB -4.5%) vs baseline: +4.4%

✅ import_one_unknown_cache

Time: ✅ 6.292µs (SLO: <10.000µs 📉 -37.1%) vs baseline: -0.1%

Memory: ✅ 36.768MB (SLO: <38.500MB -4.5%) vs baseline: +4.1%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.341µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.3%

Memory: ✅ 31.831MB (SLO: <34.000MB -6.4%) vs baseline: +5.0%

✅ high_rate_limit

Time: ✅ 2.405µs (SLO: <10.000µs 📉 -76.0%) vs baseline: +0.6%

Memory: ✅ 31.811MB (SLO: <34.000MB -6.4%) vs baseline: +4.9%

✅ long_window

Time: ✅ 2.334µs (SLO: <10.000µs 📉 -76.7%) vs baseline: -0.8%

Memory: ✅ 31.733MB (SLO: <34.000MB -6.7%) vs baseline: +4.7%

✅ low_rate_limit

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

Memory: ✅ 31.752MB (SLO: <34.000MB -6.6%) vs baseline: +4.9%

✅ no_rate_limit

Time: ✅ 0.828µs (SLO: <10.000µs 📉 -91.7%) vs baseline: -0.5%

Memory: ✅ 31.811MB (SLO: <34.000MB -6.4%) vs baseline: +4.9%

✅ short_window

Time: ✅ 2.481µs (SLO: <10.000µs 📉 -75.2%) vs baseline: -0.3%

Memory: ✅ 31.792MB (SLO: <34.000MB -6.5%) vs baseline: +5.1%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 308.967ms (SLO: <320.950ms -3.7%) vs baseline: -0.2%

Memory: ✅ 32.893MB (SLO: <34.500MB -4.7%) vs baseline: +4.7%

✅ deep-profiled

Time: ✅ 327.770ms (SLO: <359.150ms -8.7%) vs baseline: +0.1%

Memory: ✅ 37.388MB (SLO: <39.000MB -4.1%) vs baseline: +5.3%

✅ medium

Time: ✅ 7.038ms (SLO: <7.400ms -4.9%) vs baseline: -0.4%

Memory: ✅ 32.086MB (SLO: <34.000MB -5.6%) vs baseline: +4.6%

✅ shallow

Time: ✅ 0.948ms (SLO: <1.050ms -9.7%) vs baseline: +0.2%

Memory: ✅ 32.126MB (SLO: <34.000MB -5.5%) vs baseline: +4.9%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 136.933µs (SLO: <290.000µs 📉 -52.8%) vs baseline: -0.6%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +4.9%

✅ high_match

Time: ✅ 173.895µs (SLO: <480.000µs 📉 -63.8%) vs baseline: -0.8%

Memory: ✅ 32.067MB (SLO: <34.000MB -5.7%) vs baseline: +4.5%

✅ low_match

Time: ✅ 98.221µs (SLO: <120.000µs 📉 -18.1%) vs baseline: +0.3%

Memory: ✅ 600.800MB (SLO: <700.000MB 📉 -14.2%) vs baseline: +4.8%

✅ very_low_match

Time: ✅ 2.662ms (SLO: <8.500ms 📉 -68.7%) vs baseline: -0.5%

Memory: ✅ 68.263MB (SLO: <75.000MB -9.0%) vs baseline: +4.9%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.484µs (SLO: <20.000µs 📉 -47.6%) vs baseline: -0.3%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ all-enabled

Time: ✅ 39.884µs (SLO: <50.000µs 📉 -20.2%) vs baseline: ~same

Memory: ✅ 32.598MB (SLO: <34.000MB -4.1%) vs baseline: +5.0%

✅ collectipvariant_exists

Time: ✅ 40.528µs (SLO: <50.000µs 📉 -18.9%) vs baseline: -0.7%

Memory: ✅ 32.637MB (SLO: <34.000MB -4.0%) vs baseline: +5.0%

✅ no-collectipvariant

Time: ✅ 40.658µs (SLO: <50.000µs 📉 -18.7%) vs baseline: +2.1%

Memory: ✅ 32.637MB (SLO: <34.000MB -4.0%) vs baseline: +5.0%

✅ no-useragentvariant

Time: ✅ 39.646µs (SLO: <50.000µs 📉 -20.7%) vs baseline: +2.0%

Memory: ✅ 32.558MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ obfuscation-no-query

Time: ✅ 40.752µs (SLO: <50.000µs 📉 -18.5%) vs baseline: +0.6%

Memory: ✅ 32.519MB (SLO: <34.000MB -4.4%) vs baseline: +4.5%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 75.412µs (SLO: <90.000µs 📉 -16.2%) vs baseline: -0.2%

Memory: ✅ 33.010MB (SLO: <34.000MB -2.9%) vs baseline: +5.0%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.358µs (SLO: <90.000µs 📉 -15.2%) vs baseline: -0.1%

Memory: ✅ 32.932MB (SLO: <34.000MB -3.1%) vs baseline: +4.8%

✅ obfuscation-send-querystring-disabled

Time: ✅ 154.341µs (SLO: <170.000µs -9.2%) vs baseline: +0.2%

Memory: ✅ 32.991MB (SLO: <34.500MB -4.4%) vs baseline: +5.0%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 148.214µs (SLO: <160.000µs -7.4%) vs baseline: ~same

Memory: ✅ 32.991MB (SLO: <34.500MB -4.4%) vs baseline: +5.0%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 155.969µs (SLO: <170.000µs -8.3%) vs baseline: +0.9%

Memory: ✅ 32.971MB (SLO: <34.500MB -4.4%) vs baseline: +4.9%

✅ useragentvariant_exists_1

Time: ✅ 39.389µs (SLO: <50.000µs 📉 -21.2%) vs baseline: +0.1%

Memory: ✅ 32.519MB (SLO: <34.000MB -4.4%) vs baseline: +4.9%

✅ useragentvariant_exists_2

Time: ✅ 40.592µs (SLO: <50.000µs 📉 -18.8%) vs baseline: -0.3%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.8%

✅ useragentvariant_exists_3

Time: ✅ 40.827µs (SLO: <50.000µs 📉 -18.3%) vs baseline: +2.2%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +5.0%

✅ useragentvariant_not_exists_1

Time: ✅ 39.438µs (SLO: <50.000µs 📉 -21.1%) vs baseline: -0.2%

Memory: ✅ 32.519MB (SLO: <34.000MB -4.4%) vs baseline: +4.9%

✅ useragentvariant_not_exists_2

Time: ✅ 39.348µs (SLO: <50.000µs 📉 -21.3%) vs baseline: -0.3%

Memory: ✅ 32.519MB (SLO: <34.000MB -4.4%) vs baseline: +4.7%

✅ span - 26/26

✅ add-event

Time: ✅ 19.846ms (SLO: <22.500ms 📉 -11.8%) vs baseline: -0.1%

Memory: ✅ 48.766MB (SLO: <53.000MB -8.0%) vs baseline: +4.7%

✅ add-metrics

Time: ✅ 89.515ms (SLO: <93.500ms -4.3%) vs baseline: -1.3%

Memory: ✅ 736.068MB (SLO: <961.000MB 📉 -23.4%) vs baseline: +5.0%

✅ add-tags

Time: ✅ 146.353ms (SLO: <155.000ms -5.6%) vs baseline: -0.3%

Memory: ✅ 736.063MB (SLO: <962.500MB 📉 -23.5%) vs baseline: +4.9%

✅ get-context

Time: ✅ 18.131ms (SLO: <20.500ms 📉 -11.6%) vs baseline: -0.2%

Memory: ✅ 47.463MB (SLO: <53.000MB 📉 -10.4%) vs baseline: +4.7%

✅ is-recording

Time: ✅ 18.561ms (SLO: <20.500ms -9.5%) vs baseline: ~same

Memory: ✅ 47.579MB (SLO: <53.000MB 📉 -10.2%) vs baseline: +4.8%

✅ record-exception

Time: ✅ 37.480ms (SLO: <40.000ms -6.3%) vs baseline: +0.2%

Memory: ✅ 42.065MB (SLO: <53.000MB 📉 -20.6%) vs baseline: +5.0%

✅ set-status

Time: ✅ 20.189ms (SLO: <22.000ms -8.2%) vs baseline: ~same

Memory: ✅ 47.522MB (SLO: <53.000MB 📉 -10.3%) vs baseline: +4.8%

✅ start

Time: ✅ 18.223ms (SLO: <20.500ms 📉 -11.1%) vs baseline: ~same

Memory: ✅ 47.549MB (SLO: <53.000MB 📉 -10.3%) vs baseline: +4.7%

✅ start-finish

Time: ✅ 50.405ms (SLO: <52.500ms -4.0%) vs baseline: -0.5%

Memory: ✅ 32.067MB (SLO: <34.000MB -5.7%) vs baseline: +4.6%

✅ start-finish-telemetry

Time: ✅ 51.705ms (SLO: <54.500ms -5.1%) vs baseline: -0.2%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +5.0%

✅ start-finish-traceid128

Time: ✅ 53.647ms (SLO: <57.000ms -5.9%) vs baseline: -0.7%

Memory: ✅ 32.106MB (SLO: <34.000MB -5.6%) vs baseline: +4.7%

✅ start-traceid128

Time: ✅ 18.657ms (SLO: <22.500ms 📉 -17.1%) vs baseline: +0.2%

Memory: ✅ 47.568MB (SLO: <53.000MB 📉 -10.2%) vs baseline: +4.8%

✅ update-name

Time: ✅ 18.731ms (SLO: <22.000ms 📉 -14.9%) vs baseline: -0.1%

Memory: ✅ 48.225MB (SLO: <53.000MB -9.0%) vs baseline: +4.8%

✅ tracer - 6/6

✅ large

Time: ✅ 29.535ms (SLO: <32.950ms 📉 -10.4%) vs baseline: -0.4%

Memory: ✅ 32.912MB (SLO: <34.500MB -4.6%) vs baseline: +3.6%

✅ medium

Time: ✅ 2.969ms (SLO: <3.200ms -7.2%) vs baseline: +1.1%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ small

Time: ✅ 330.927µs (SLO: <370.000µs 📉 -10.6%) vs baseline: -0.3%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.8%

ℹ️ Scenarios Missing SLO Configuration (9 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

…d pulls

sabrenner

lgtm as-is (aside from updating the release note), just a clarification and a couple suggestions!

sabrenner · 2025-10-21T19:18:58Z

ddtrace/llmobs/_writer.py

            if next_cursor:
                has_next_page = True
-                list_path = f"{list_base_path}?page[cursor]={next_cursor}"
+                list_path = f"{list_base_path}{'&' if version else '?'}page[cursor]={next_cursor}"


i think instead of doing this, we could do something with urllib.parse.urlencode to make this a bit cleaner

import urllib.parse url_options = {} if version: url_options["filter[version]"] = version ... if next_cursor: has_next_page = True url_options["page[cursor]"] = next_cursor ... list_path = "{}?{}".format(list_base_path, urllib.parse.urlencode(url_options, safe="[]")

i think that works, but nw if it doesn't work.

ah yea, i thought about it but reading the docs it seems that it would convert [ to url encoded, which normally is good but IIRC there was something with the backend that we have to use the actual characters and not url encode...any way i'll give it a shot

yeah, i ran into that but safe="[]" seems to resolve that

>>> url_base = "/foo/123" >>> url_options = {"a[b]": 1, "b[c]": "bar"} >>> import urllib.parse >>> "{}?{}".format(url_base, urllib.parse.urlencode(url_options, safe="[]")) '/foo/123?a[b]=1&b[c]=bar'

but yeah lmk if this works!

releasenotes/notes/llmobs-dne-allow-versioned-dataset-pull-c7017f982b2c1f5b.yaml

sabrenner · 2025-10-21T19:34:24Z

ddtrace/llmobs/_experiment.py

+    @property
+    def current_version(self) -> int:
+        return self._current_version
+
+    @property
+    def version(self) -> int:
+        return self._version
+


i was initially confused by these two versions, just to clarify:

version: the pulled/created dataset version

current_version: the global/most recent version of the dataset wrt what is available in the backend

if so, maybe some docstrings here could help clarify for users as well. or, maybe only exposing version instead of current_version/rename it to global_version (idk haha) - just before we put something in here that we gotta wait for a major update to walk back from!

hmmm yea thats a good point, i will add some docstrings, the API returns current_version so i matched it. Although i guess we could technically rename it in the SDK...

what do you think about latest_version instead of current_version?

ooh yeah i think latest_version is better!

sabrenner · 2025-10-21T19:37:48Z

ddtrace/llmobs/_writer.py

            raise ValueError(f"unexpected dataset state, invalid ID (is None: {dataset_id is None})")
        curr_version = response_data["data"]["attributes"]["current_version"]
-        return Dataset(dataset_name, project, dataset_id, [], description, curr_version, _dne_client=self)
+        return Dataset(dataset_name, project, dataset_id, [], description, curr_version, curr_version, _dne_client=self)


very small nit but for readability it might help to use these as kwargs (as to differentiate the two curr_version variables, it tripped me up for a sec 😅)

very true! will change that

sabrenner · 2025-10-21T19:38:20Z

ddtrace/llmobs/_writer.py

+            dataset_name,
+            project,
+            dataset_id,
+            class_records,
+            dataset_description,
+            curr_version,
+            version or curr_version,
+            _dne_client=self,


similar small nit for maybe using kwargs to give each of these a name for slightly easier readability - up to you!

…17f982b2c1f5b.yaml Co-authored-by: Sam Brenner <[email protected]>

gary-huang force-pushed the gary/mlob-3837 branch from ee5feda to 6cf1a5a Compare October 17, 2025 20:45

gary-huang changed the title ~~wip allow versioned dataset pull~~ feat(llmobs): allow versioned dataset pulling Oct 21, 2025

gary-huang added 3 commits October 21, 2025 14:38

allow versioned dataset pull

9304466

add current version and version as properties

d43f862

update tests to use new version properties and add tests for versione…

bfb9164

…d pulls

gary-huang force-pushed the gary/mlob-3837 branch from e0457da to bfb9164 Compare October 21, 2025 18:39

reno

707f649

gary-huang added the MLObs ML Observability (LLMObs) label Oct 21, 2025

gary-huang marked this pull request as ready for review October 21, 2025 18:49

gary-huang requested review from a team as code owners October 21, 2025 18:49

gary-huang requested review from christophe-papazian and sabrenner October 21, 2025 18:49

sabrenner approved these changes Oct 21, 2025

View reviewed changes

Update releasenotes/notes/llmobs-dne-allow-versioned-dataset-pull-c70…

1013ec3

…17f982b2c1f5b.yaml Co-authored-by: Sam Brenner <[email protected]>

feat(llmobs): allow versioned dataset pulling #14921

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feat(llmobs): allow versioned dataset pulling #14921

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Testing

Risks

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Import time breakdown

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Performance SLOs

✅ add-event

❌ add-metrics

❌ add-tags

✅ get-context

✅ is-recording

✅ record-exception

✅ set-status

✅ start

✅ start-finish

✅ start-finish-telemetry

✅ update-name

✅ add_aspect

✅ add_inplace_aspect

✅ add_inplace_noaspect

✅ add_noaspect

✅ bytearray_aspect

✅ bytearray_extend_aspect

✅ bytearray_extend_noaspect

✅ bytearray_noaspect

✅ bytes_aspect

✅ bytes_noaspect

✅ bytesio_aspect

✅ bytesio_noaspect

✅ capitalize_aspect

✅ capitalize_noaspect

✅ casefold_aspect

✅ casefold_noaspect

✅ decode_aspect

✅ decode_noaspect

✅ encode_aspect

✅ encode_noaspect

✅ format_aspect

✅ format_map_aspect

✅ format_map_noaspect

✅ format_noaspect

✅ index_aspect

✅ index_noaspect

✅ join_aspect

✅ join_noaspect

✅ ljust_aspect

✅ ljust_noaspect

✅ lower_aspect

✅ lower_noaspect

✅ lstrip_aspect

✅ lstrip_noaspect

✅ modulo_aspect

✅ modulo_aspect_for_bytearray_bytearray

✅ modulo_aspect_for_bytes

✅ modulo_aspect_for_bytes_bytearray

✅ modulo_noaspect

✅ replace_aspect

✅ replace_noaspect

✅ repr_aspect

✅ repr_noaspect

✅ rstrip_aspect

✅ rstrip_noaspect

✅ slice_aspect

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