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@PROFeNoM PROFeNoM commented Nov 6, 2025

PR Description

Description

Adds prompt tracking for OpenAI reusable prompts.

The problem: OpenAI returns rendered prompts (with variables filled in), but prompt tracking needs templates with placeholders like {{variable_name}}.

The solution: Reverse templating - reconstruct the template by replacing variable values with placeholders.

How it works:

# Input from OpenAI:
variables: {"question": "What is ML?"}
instructions: [{role: "user", content: "Answer: What is ML?"}]

# We do:
1. Build map: {"What is ML?": "{{question}}"}
2. Extract: "Answer: What is ML?"
3. Replace: "Answer: What is ML?""Answer: {{question}}"

# Output:
chat_template: [{role: "user", content: "Answer: {{question}}"}]

Why longest values first?

Overlapping values need careful handling:

# Problem: overlapping values
variables = {"short": "AI", "long": "AI is cool"}
text = "AI is cool"

# Wrong order breaks:
text.replace("AI", "{{short}}")  # -> "{{short}} is cool"  
# Now can't find "AI is cool" anymore!

# Solution: sort by length (longest first), then replace
sorted_values = ["AI is cool", "AI"]  # Longest first
for value in sorted_values:
    text = text.replace(value, placeholder)
# Result: "{{long}}"

The implementation uses a simple .replace() loop with longest-first sorting. Benchmarks show this is faster than regex for typical prompts with <50 variables.

Testing

  • Added test_response_with_prompt_tracking() verifying prompt metadata, chat_template extraction, and placeholder replacement.
  • Added comprehensive unit tests for _extract_chat_template_from_instructions() covering edge cases (overlaps, special chars, large patterns, etc.)
  • Tested on a personal sandbox with real templates. They can be found on staging here: link

Risks

Making this perfect is likely impossible since we're reverse-engineering the template from rendered output. The approach works well for typical real-world usage where:

  • Variable values are reasonably unique
  • Users follow sensible naming patterns
  • Variables don't create ambiguous overlaps

For instance, when two variables have the same value, only one placeholder will be used:

variables = {"var1": "hello", "var2": "hello"}
text = "Say hello"
# Result: "Say {{var2}}" or "Say {{var1}}"

Additional Notes

OpenAI doesn't expose templates via API, so we reconstruct them. If they add template retrieval later or backend supports template-less prompts, we can remove this logic.

…gration

This update introduces the ability to capture prompt metadata (id, version, variables) for reusable prompts in the OpenAI integration. The changes include enhancements to the `openai_set_meta_tags_from_response` function to validate and store prompt data, as well as new tests to ensure the correct functionality. A new YAML cassette for testing responses with prompt tracking has also been added.
…uctions

This update introduces a new function, `_extract_chat_template_from_instructions`, which extracts chat templates from OpenAI response instructions by replacing variable values with placeholders. Additionally, the `openai_set_meta_tags_from_response` function has been modified to utilize this new functionality, ensuring that chat templates are included in the prompt data. Tests have been added to verify the correct extraction and formatting of chat templates, including variable placeholders.
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github-actions bot commented Nov 6, 2025

CODEOWNERS have been resolved as:

releasenotes/notes/instrument-openai-responses-prompt-d8d0f21a6f21ed4d.yaml  @DataDog/apm-python
tests/contrib/openai/cassettes/v1/response_with_prompt.yaml             @DataDog/ml-observability
tests/llmobs/test_integrations_utils.py                                 @DataDog/ml-observability
ddtrace/llmobs/_integrations/utils.py                                   @DataDog/ml-observability
tests/contrib/openai/test_openai_llmobs.py                              @DataDog/ml-observability

@PROFeNoM PROFeNoM changed the title [MLOB-4411] Instrument OpenAI responses prompts feat(openai): Instrument OpenAI responses prompts Nov 6, 2025
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github-actions bot commented Nov 6, 2025

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 208 ± 3 ms.

The average import time from base is: 215 ± 3 ms.

The import time difference between this PR and base is: -7.1 ± 0.1 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 5.358 ms (2.58%)
ddtrace.bootstrap.sitecustomize 3.248 ms (1.56%)
ddtrace.bootstrap.preload 3.248 ms (1.56%)
ddtrace.internal.settings.dynamic_instrumentation 0.552 ms (0.27%)
ddtrace.internal.remoteconfig.client 0.545 ms (0.26%)
ddtrace.internal.remoteconfig.worker 0.525 ms (0.25%)
ddtrace 2.111 ms (1.02%)
ddtrace.trace 0.562 ms (0.27%)
ddtrace._logger 0.510 ms (0.25%)
ddtrace.internal.telemetry 0.510 ms (0.25%)
ddtrace.internal.telemetry.writer 0.510 ms (0.25%)
ddtrace.internal.utils.version 0.510 ms (0.25%)
ddtrace.internal._unpatched 0.039 ms (0.02%)
json 0.039 ms (0.02%)
json.decoder 0.039 ms (0.02%)
re 0.039 ms (0.02%)
enum 0.039 ms (0.02%)
types 0.039 ms (0.02%)

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pr-commenter bot commented Nov 6, 2025

Performance SLOs

Comparing candidate alex/MLOB-4411_instrument-openai-responses-prompts (9f6d0df) with baseline main (6aa3d1a)

🟡 Near SLO Breach (4 suites)
🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 19.260ms (SLO: <22.300ms 📉 -13.6%) vs baseline: ~same

Memory: ✅ 66.022MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.7%


✅ exception-replay-enabled

Time: ✅ 1.338ms (SLO: <1.450ms -7.7%) vs baseline: ~same

Memory: ✅ 64.205MB (SLO: <67.000MB -4.2%) vs baseline: +4.9%


✅ iast

Time: ✅ 19.256ms (SLO: <22.250ms 📉 -13.5%) vs baseline: ~same

Memory: ✅ 66.020MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.9%


✅ profiler

Time: ✅ 15.405ms (SLO: <16.550ms -6.9%) vs baseline: +0.2%

Memory: ✅ 53.794MB (SLO: <54.500MB 🟡 -1.3%) vs baseline: +4.5%


✅ resource-renaming

Time: ✅ 19.299ms (SLO: <21.750ms 📉 -11.3%) vs baseline: -0.1%

Memory: ✅ 65.998MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.9%


✅ span-code-origin

Time: ✅ 22.811ms (SLO: <28.200ms 📉 -19.1%) vs baseline: ~same

Memory: ✅ 67.108MB (SLO: <69.500MB -3.4%) vs baseline: +4.4%


✅ tracer

Time: ✅ 19.240ms (SLO: <21.750ms 📉 -11.5%) vs baseline: ~same

Memory: ✅ 66.027MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.8%


✅ tracer-and-profiler

Time: ✅ 21.139ms (SLO: <23.500ms 📉 -10.0%) vs baseline: -0.2%

Memory: ✅ 67.845MB (SLO: <68.000MB 🟡 -0.2%) vs baseline: +5.0%


✅ tracer-dont-create-db-spans

Time: ✅ 19.323ms (SLO: <21.500ms 📉 -10.1%) vs baseline: ~same

Memory: ✅ 66.001MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +5.0%


✅ tracer-minimal

Time: ✅ 16.584ms (SLO: <17.500ms -5.2%) vs baseline: -0.3%

Memory: ✅ 65.978MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.8%


✅ tracer-native

Time: ✅ 19.291ms (SLO: <21.750ms 📉 -11.3%) vs baseline: +0.2%

Memory: ✅ 67.754MB (SLO: <72.500MB -6.5%) vs baseline: +4.9%


✅ tracer-no-caches

Time: ✅ 17.268ms (SLO: <19.650ms 📉 -12.1%) vs baseline: ~same

Memory: ✅ 65.984MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.7%


✅ tracer-no-databases

Time: ✅ 18.782ms (SLO: <20.100ms -6.6%) vs baseline: -0.2%

Memory: ✅ 65.969MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.9%


✅ tracer-no-middleware

Time: ✅ 18.958ms (SLO: <21.500ms 📉 -11.8%) vs baseline: -0.1%

Memory: ✅ 66.051MB (SLO: <67.000MB 🟡 -1.4%) vs baseline: +5.0%


✅ tracer-no-templates

Time: ✅ 19.064ms (SLO: <22.000ms 📉 -13.3%) vs baseline: -0.3%

Memory: ✅ 65.994MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.7%


🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 16.525ms (SLO: <19.850ms 📉 -16.8%) vs baseline: +1.2%

Memory: ✅ 65.707MB (SLO: <66.500MB 🟡 -1.2%) vs baseline: +5.0%


✅ errortracking-enabled-user

Time: ✅ 16.515ms (SLO: <19.400ms 📉 -14.9%) vs baseline: +1.1%

Memory: ✅ 65.706MB (SLO: <66.500MB 🟡 -1.2%) vs baseline: +5.1%


✅ tracer-enabled

Time: ✅ 16.359ms (SLO: <19.450ms 📉 -15.9%) vs baseline: +0.4%

Memory: ✅ 65.702MB (SLO: <66.500MB 🟡 -1.2%) vs baseline: +5.0%


🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 4.591ms (SLO: <4.750ms -3.4%) vs baseline: -0.4%

Memory: ✅ 62.026MB (SLO: <65.000MB -4.6%) vs baseline: +4.7%


✅ appsec-post

Time: ✅ 6.608ms (SLO: <6.750ms -2.1%) vs baseline: ~same

Memory: ✅ 62.142MB (SLO: <65.000MB -4.4%) vs baseline: +4.9%


✅ appsec-telemetry

Time: ✅ 4.584ms (SLO: <4.750ms -3.5%) vs baseline: ~same

Memory: ✅ 62.028MB (SLO: <65.000MB -4.6%) vs baseline: +4.8%


✅ debugger

Time: ✅ 1.857ms (SLO: <2.000ms -7.1%) vs baseline: ~same

Memory: ✅ 45.259MB (SLO: <47.000MB -3.7%) vs baseline: +4.9%


✅ iast-get

Time: ✅ 1.856ms (SLO: <2.000ms -7.2%) vs baseline: -0.5%

Memory: ✅ 41.892MB (SLO: <49.000MB 📉 -14.5%) vs baseline: +4.9%


✅ profiler

Time: ✅ 1.914ms (SLO: <2.100ms -8.9%) vs baseline: -0.2%

Memory: ✅ 46.551MB (SLO: <47.000MB 🟡 -1.0%) vs baseline: +4.8%


✅ resource-renaming

Time: ✅ 3.371ms (SLO: <3.650ms -7.6%) vs baseline: ~same

Memory: ✅ 52.474MB (SLO: <53.500MB 🟡 -1.9%) vs baseline: +4.6%


✅ tracer

Time: ✅ 3.360ms (SLO: <3.650ms -8.0%) vs baseline: -0.3%

Memory: ✅ 52.357MB (SLO: <53.500MB -2.1%) vs baseline: +4.9%


✅ tracer-native

Time: ✅ 3.359ms (SLO: <3.650ms -8.0%) vs baseline: ~same

Memory: ✅ 54.013MB (SLO: <60.000MB -10.0%) vs baseline: +4.8%


🟡 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 2.981µs (SLO: <20.000µs 📉 -85.1%) vs baseline: -0.8%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.7%


✅ 1-count-metrics-100-times

Time: ✅ 201.167µs (SLO: <220.000µs -8.6%) vs baseline: -1.2%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.9%


✅ 1-distribution-metric-1-times

Time: ✅ 3.368µs (SLO: <20.000µs 📉 -83.2%) vs baseline: +0.3%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.6%


✅ 1-distribution-metrics-100-times

Time: ✅ 216.032µs (SLO: <220.000µs 🟡 -1.8%) vs baseline: -0.2%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%


✅ 1-gauge-metric-1-times

Time: ✅ 2.220µs (SLO: <20.000µs 📉 -88.9%) vs baseline: -1.1%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.8%


✅ 1-gauge-metrics-100-times

Time: ✅ 138.313µs (SLO: <150.000µs -7.8%) vs baseline: ~same

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.9%


✅ 1-rate-metric-1-times

Time: ✅ 3.390µs (SLO: <20.000µs 📉 -83.0%) vs baseline: +8.4%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.6%


✅ 1-rate-metrics-100-times

Time: ✅ 217.626µs (SLO: <250.000µs 📉 -12.9%) vs baseline: +0.7%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.5%


✅ 100-count-metrics-100-times

Time: ✅ 20.627ms (SLO: <22.000ms -6.2%) vs baseline: +1.8%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.6%


✅ 100-distribution-metrics-100-times

Time: ✅ 2.262ms (SLO: <2.300ms 🟡 -1.7%) vs baseline: +0.2%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.8%


✅ 100-gauge-metrics-100-times

Time: ✅ 1.432ms (SLO: <1.550ms -7.6%) vs baseline: +1.6%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +4.5%


✅ 100-rate-metrics-100-times

Time: ✅ 2.265ms (SLO: <2.550ms 📉 -11.2%) vs baseline: +2.2%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


✅ flush-1-metric

Time: ✅ 4.591µs (SLO: <20.000µs 📉 -77.0%) vs baseline: +1.3%

Memory: ✅ 31.909MB (SLO: <34.000MB -6.1%) vs baseline: +4.7%


✅ flush-100-metrics

Time: ✅ 176.777µs (SLO: <250.000µs 📉 -29.3%) vs baseline: +0.8%

Memory: ✅ 31.949MB (SLO: <34.000MB -6.0%) vs baseline: +4.9%


✅ flush-1000-metrics

Time: ✅ 2.147ms (SLO: <2.500ms 📉 -14.1%) vs baseline: +0.7%

Memory: ✅ 32.775MB (SLO: <34.500MB -5.0%) vs baseline: +5.2%

⚠️ Unstable Tests (1 suite)
⚠️ coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.292µs (SLO: <20.000µs 📉 -33.5%) vs baseline: ~same

Memory: ✅ 31.497MB (SLO: <33.500MB -6.0%) vs baseline: +4.7%


✅ context_with_data_no_listeners

Time: ✅ 3.325µs (SLO: <10.000µs 📉 -66.7%) vs baseline: +0.4%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.9%


✅ get_item_exists

Time: ✅ 0.577µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.2%

Memory: ✅ 31.477MB (SLO: <33.500MB -6.0%) vs baseline: +4.7%


✅ get_item_missing

Time: ✅ 0.638µs (SLO: <10.000µs 📉 -93.6%) vs baseline: ~same

Memory: ✅ 31.477MB (SLO: <33.500MB -6.0%) vs baseline: +4.9%


✅ set_item

Time: ✅ 24.258µs (SLO: <30.000µs 📉 -19.1%) vs baseline: +0.8%

Memory: ✅ 31.477MB (SLO: <33.500MB -6.0%) vs baseline: +4.9%

✅ All Tests Passing (17 suites)
errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.082ms (SLO: <2.300ms -9.5%) vs baseline: +0.7%

Memory: ✅ 52.396MB (SLO: <53.500MB -2.1%) vs baseline: +4.5%


✅ errortracking-enabled-user

Time: ✅ 2.081ms (SLO: <2.250ms -7.5%) vs baseline: +0.8%

Memory: ✅ 52.416MB (SLO: <53.500MB -2.0%) vs baseline: +4.7%


✅ tracer-enabled

Time: ✅ 2.083ms (SLO: <2.300ms -9.4%) vs baseline: +1.0%

Memory: ✅ 52.357MB (SLO: <53.500MB -2.1%) vs baseline: +4.6%


flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 3.943ms (SLO: <4.200ms -6.1%) vs baseline: ~same

Memory: ✅ 62.305MB (SLO: <66.000MB -5.6%) vs baseline: +4.8%


✅ iast-enabled

Time: ✅ 2.439ms (SLO: <2.800ms 📉 -12.9%) vs baseline: +0.1%

Memory: ✅ 58.432MB (SLO: <60.000MB -2.6%) vs baseline: +4.7%


✅ tracer-enabled

Time: ✅ 2.052ms (SLO: <2.250ms -8.8%) vs baseline: -0.3%

Memory: ✅ 52.632MB (SLO: <54.500MB -3.4%) vs baseline: +4.8%


httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 81.764µs (SLO: <100.000µs 📉 -18.2%) vs baseline: +1.6%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.6%


✅ b3_headers

Time: ✅ 14.309µs (SLO: <20.000µs 📉 -28.5%) vs baseline: +0.7%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +5.3%


✅ b3_single_headers

Time: ✅ 13.480µs (SLO: <20.000µs 📉 -32.6%) vs baseline: +1.8%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%


✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 65.636µs (SLO: <80.000µs 📉 -18.0%) vs baseline: +3.2%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.7%


✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 66.699µs (SLO: <80.000µs 📉 -16.6%) vs baseline: +1.3%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ empty_headers

Time: ✅ 1.598µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.5%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


✅ full_t_id_datadog_headers

Time: ✅ 22.699µs (SLO: <30.000µs 📉 -24.3%) vs baseline: +0.7%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +5.2%


✅ invalid_priority_header

Time: ✅ 6.538µs (SLO: <10.000µs 📉 -34.6%) vs baseline: +0.6%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


✅ invalid_span_id_header

Time: ✅ 6.543µs (SLO: <10.000µs 📉 -34.6%) vs baseline: +0.2%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ invalid_tags_header

Time: ✅ 6.600µs (SLO: <10.000µs 📉 -34.0%) vs baseline: +0.9%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ invalid_trace_id_header

Time: ✅ 6.510µs (SLO: <10.000µs 📉 -34.9%) vs baseline: -0.1%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


✅ large_header_no_matches

Time: ✅ 27.559µs (SLO: <30.000µs -8.1%) vs baseline: -0.2%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ large_valid_headers_all

Time: ✅ 28.658µs (SLO: <40.000µs 📉 -28.4%) vs baseline: +0.4%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +4.6%


✅ medium_header_no_matches

Time: ✅ 9.825µs (SLO: <20.000µs 📉 -50.9%) vs baseline: -0.1%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.0%


✅ medium_valid_headers_all

Time: ✅ 11.212µs (SLO: <20.000µs 📉 -43.9%) vs baseline: -0.4%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.0%


✅ none_propagation_style

Time: ✅ 1.709µs (SLO: <10.000µs 📉 -82.9%) vs baseline: +0.9%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ tracecontext_headers

Time: ✅ 35.491µs (SLO: <40.000µs 📉 -11.3%) vs baseline: +2.4%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


✅ valid_headers_all

Time: ✅ 6.509µs (SLO: <10.000µs 📉 -34.9%) vs baseline: +0.3%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%


✅ valid_headers_basic

Time: ✅ 6.112µs (SLO: <10.000µs 📉 -38.9%) vs baseline: ~same

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +5.2%


✅ wsgi_empty_headers

Time: ✅ 1.600µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.3%

Memory: ✅ 31.674MB (SLO: <33.500MB -5.5%) vs baseline: +5.2%


✅ wsgi_invalid_priority_header

Time: ✅ 6.569µs (SLO: <10.000µs 📉 -34.3%) vs baseline: -0.4%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%


✅ wsgi_invalid_span_id_header

Time: ✅ 1.606µs (SLO: <10.000µs 📉 -83.9%) vs baseline: +0.9%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%


✅ wsgi_invalid_tags_header

Time: ✅ 6.539µs (SLO: <10.000µs 📉 -34.6%) vs baseline: ~same

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%


✅ wsgi_invalid_trace_id_header

Time: ✅ 6.602µs (SLO: <10.000µs 📉 -34.0%) vs baseline: +0.5%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%


✅ wsgi_large_header_no_matches

Time: ✅ 28.726µs (SLO: <40.000µs 📉 -28.2%) vs baseline: ~same

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +5.0%


✅ wsgi_large_valid_headers_all

Time: ✅ 29.729µs (SLO: <40.000µs 📉 -25.7%) vs baseline: -0.2%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +5.3%


✅ wsgi_medium_header_no_matches

Time: ✅ 10.297µs (SLO: <20.000µs 📉 -48.5%) vs baseline: -0.1%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.8%


✅ wsgi_medium_valid_headers_all

Time: ✅ 11.604µs (SLO: <20.000µs 📉 -42.0%) vs baseline: -0.4%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%


✅ wsgi_valid_headers_all

Time: ✅ 6.582µs (SLO: <10.000µs 📉 -34.2%) vs baseline: +0.4%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +4.3%


✅ wsgi_valid_headers_basic

Time: ✅ 6.123µs (SLO: <10.000µs 📉 -38.8%) vs baseline: +0.6%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


httppropagationinject - 16/16

✅ ids_only

Time: ✅ 21.017µs (SLO: <30.000µs 📉 -29.9%) vs baseline: +1.7%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +4.5%


✅ with_all

Time: ✅ 27.355µs (SLO: <40.000µs 📉 -31.6%) vs baseline: -0.4%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ with_dd_origin

Time: ✅ 24.965µs (SLO: <30.000µs 📉 -16.8%) vs baseline: +2.4%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.8%


✅ with_priority_and_origin

Time: ✅ 23.838µs (SLO: <40.000µs 📉 -40.4%) vs baseline: +0.2%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%


✅ with_sampling_priority

Time: ✅ 20.801µs (SLO: <30.000µs 📉 -30.7%) vs baseline: +1.1%

Memory: ✅ 31.674MB (SLO: <33.500MB -5.5%) vs baseline: +5.1%


✅ with_tags

Time: ✅ 25.902µs (SLO: <40.000µs 📉 -35.2%) vs baseline: +0.7%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.0%


✅ with_tags_invalid

Time: ✅ 27.043µs (SLO: <40.000µs 📉 -32.4%) vs baseline: -0.4%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%


✅ with_tags_max_size

Time: ✅ 26.982µs (SLO: <40.000µs 📉 -32.5%) vs baseline: +3.7%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.8%


iastaspects - 118/118

✅ add_aspect

Time: ✅ 0.406µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.7%

Memory: ✅ 37.159MB (SLO: <39.000MB -4.7%) vs baseline: +4.7%


✅ add_inplace_aspect

Time: ✅ 0.405µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -0.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.8%


✅ add_inplace_noaspect

Time: ✅ 0.319µs (SLO: <10.000µs 📉 -96.8%) vs baseline: -0.7%

Memory: ✅ 37.179MB (SLO: <39.000MB -4.7%) vs baseline: +4.7%


✅ add_noaspect

Time: ✅ 0.280µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +2.0%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ bytearray_aspect

Time: ✅ 1.321µs (SLO: <10.000µs 📉 -86.8%) vs baseline: -0.9%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


✅ bytearray_extend_aspect

Time: ✅ 1.482µs (SLO: <10.000µs 📉 -85.2%) vs baseline: +0.7%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ bytearray_extend_noaspect

Time: ✅ 0.615µs (SLO: <10.000µs 📉 -93.8%) vs baseline: ~same

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%


✅ bytearray_noaspect

Time: ✅ 0.482µs (SLO: <10.000µs 📉 -95.2%) vs baseline: +0.7%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%


✅ bytes_aspect

Time: ✅ 1.301µs (SLO: <10.000µs 📉 -87.0%) vs baseline: +0.3%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ bytes_noaspect

Time: ✅ 0.492µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


✅ bytesio_aspect

Time: ✅ 1.340µs (SLO: <10.000µs 📉 -86.6%) vs baseline: +0.3%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +5.1%


✅ bytesio_noaspect

Time: ✅ 0.497µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.8%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%


✅ capitalize_aspect

Time: ✅ 0.735µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +0.2%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.1%


✅ capitalize_noaspect

Time: ✅ 0.436µs (SLO: <10.000µs 📉 -95.6%) vs baseline: +0.9%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ casefold_aspect

Time: ✅ 0.737µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -0.5%

Memory: ✅ 37.375MB (SLO: <39.000MB -4.2%) vs baseline: +5.2%


✅ casefold_noaspect

Time: ✅ 0.370µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.5%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ decode_aspect

Time: ✅ 0.724µs (SLO: <10.000µs 📉 -92.8%) vs baseline: -0.1%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ decode_noaspect

Time: ✅ 0.421µs (SLO: <10.000µs 📉 -95.8%) vs baseline: +0.6%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ encode_aspect

Time: ✅ 0.709µs (SLO: <10.000µs 📉 -92.9%) vs baseline: ~same

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


✅ encode_noaspect

Time: ✅ 0.401µs (SLO: <10.000µs 📉 -96.0%) vs baseline: +0.5%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


✅ format_aspect

Time: ✅ 3.358µs (SLO: <10.000µs 📉 -66.4%) vs baseline: -0.1%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%


✅ format_map_aspect

Time: ✅ 3.620µs (SLO: <10.000µs 📉 -63.8%) vs baseline: +0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ format_map_noaspect

Time: ✅ 0.770µs (SLO: <10.000µs 📉 -92.3%) vs baseline: -0.4%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.1%


✅ format_noaspect

Time: ✅ 0.594µs (SLO: <10.000µs 📉 -94.1%) vs baseline: -1.0%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ index_aspect

Time: ✅ 0.355µs (SLO: <10.000µs 📉 -96.5%) vs baseline: ~same

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.6%


✅ index_noaspect

Time: ✅ 0.277µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -1.8%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.6%


✅ join_aspect

Time: ✅ 1.351µs (SLO: <10.000µs 📉 -86.5%) vs baseline: +0.7%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.4%


✅ join_noaspect

Time: ✅ 0.490µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.5%

Memory: ✅ 37.159MB (SLO: <39.000MB -4.7%) vs baseline: +4.5%


✅ ljust_aspect

Time: ✅ 2.589µs (SLO: <20.000µs 📉 -87.1%) vs baseline: ~same

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.9%


✅ ljust_noaspect

Time: ✅ 0.409µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +1.8%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%


✅ lower_aspect

Time: ✅ 2.227µs (SLO: <10.000µs 📉 -77.7%) vs baseline: +0.6%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ lower_noaspect

Time: ✅ 0.366µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +0.3%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ lstrip_aspect

Time: ✅ 2.195µs (SLO: <20.000µs 📉 -89.0%) vs baseline: -1.0%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ lstrip_noaspect

Time: ✅ 0.382µs (SLO: <10.000µs 📉 -96.2%) vs baseline: ~same

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ modulo_aspect

Time: ✅ 0.996µs (SLO: <10.000µs 📉 -90.0%) vs baseline: -1.9%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%


✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.539µs (SLO: <10.000µs 📉 -84.6%) vs baseline: +0.3%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +5.0%


✅ modulo_aspect_for_bytes

Time: ✅ 0.987µs (SLO: <10.000µs 📉 -90.1%) vs baseline: +1.5%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.211µs (SLO: <10.000µs 📉 -87.9%) vs baseline: +1.5%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


✅ modulo_noaspect

Time: ✅ 0.626µs (SLO: <10.000µs 📉 -93.7%) vs baseline: -0.8%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%


✅ replace_aspect

Time: ✅ 4.916µs (SLO: <10.000µs 📉 -50.8%) vs baseline: +0.7%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +5.0%


✅ replace_noaspect

Time: ✅ 0.459µs (SLO: <10.000µs 📉 -95.4%) vs baseline: +0.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%


✅ repr_aspect

Time: ✅ 0.909µs (SLO: <10.000µs 📉 -90.9%) vs baseline: +0.3%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.6%


✅ repr_noaspect

Time: ✅ 0.416µs (SLO: <10.000µs 📉 -95.8%) vs baseline: -0.2%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%


✅ rstrip_aspect

Time: ✅ 1.913µs (SLO: <20.000µs 📉 -90.4%) vs baseline: +1.0%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ rstrip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +1.5%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%


✅ slice_aspect

Time: ✅ 0.492µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.2%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ slice_noaspect

Time: ✅ 0.448µs (SLO: <10.000µs 📉 -95.5%) vs baseline: +1.1%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ stringio_aspect

Time: ✅ 1.569µs (SLO: <10.000µs 📉 -84.3%) vs baseline: -0.8%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ stringio_noaspect

Time: ✅ 0.716µs (SLO: <10.000µs 📉 -92.8%) vs baseline: +1.1%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ strip_aspect

Time: ✅ 2.185µs (SLO: <20.000µs 📉 -89.1%) vs baseline: -0.4%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%


✅ strip_noaspect

Time: ✅ 0.382µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.4%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.1%


✅ swapcase_aspect

Time: ✅ 2.405µs (SLO: <10.000µs 📉 -75.9%) vs baseline: +1.0%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.1%


✅ swapcase_noaspect

Time: ✅ 0.534µs (SLO: <10.000µs 📉 -94.7%) vs baseline: ~same

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%


✅ title_aspect

Time: ✅ 2.339µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.5%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.8%


✅ title_noaspect

Time: ✅ 0.496µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.8%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%


✅ translate_aspect

Time: ✅ 3.239µs (SLO: <10.000µs 📉 -67.6%) vs baseline: +0.3%

Memory: ✅ 37.139MB (SLO: <39.000MB -4.8%) vs baseline: +4.5%


✅ translate_noaspect

Time: ✅ 1.039µs (SLO: <10.000µs 📉 -89.6%) vs baseline: -0.8%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ upper_aspect

Time: ✅ 2.200µs (SLO: <10.000µs 📉 -78.0%) vs baseline: -0.8%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.2%


✅ upper_noaspect

Time: ✅ 0.370µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +0.6%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 4.198µs (SLO: <10.000µs 📉 -58.0%) vs baseline: +0.3%

Memory: ✅ 37.159MB (SLO: <39.000MB -4.7%) vs baseline: +4.9%


✅ ospathbasename_noaspect

Time: ✅ 1.083µs (SLO: <10.000µs 📉 -89.2%) vs baseline: -0.6%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%


✅ ospathjoin_aspect

Time: ✅ 6.145µs (SLO: <10.000µs 📉 -38.6%) vs baseline: -0.4%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%


✅ ospathjoin_noaspect

Time: ✅ 2.295µs (SLO: <10.000µs 📉 -77.0%) vs baseline: +0.3%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%


✅ ospathnormcase_aspect

Time: ✅ 3.449µs (SLO: <10.000µs 📉 -65.5%) vs baseline: +0.1%

Memory: ✅ 37.179MB (SLO: <39.000MB -4.7%) vs baseline: +4.6%


✅ ospathnormcase_noaspect

Time: ✅ 0.577µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.4%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%


✅ ospathsplit_aspect

Time: ✅ 4.744µs (SLO: <10.000µs 📉 -52.6%) vs baseline: -0.5%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%


✅ ospathsplit_noaspect

Time: ✅ 1.604µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +1.2%

Memory: ✅ 37.080MB (SLO: <39.000MB -4.9%) vs baseline: +4.2%


✅ ospathsplitdrive_aspect

Time: ✅ 3.794µs (SLO: <10.000µs 📉 -62.1%) vs baseline: +4.6%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%


✅ ospathsplitdrive_noaspect

Time: ✅ 0.704µs (SLO: <10.000µs 📉 -93.0%) vs baseline: -0.3%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


✅ ospathsplitext_aspect

Time: ✅ 4.457µs (SLO: <10.000µs 📉 -55.4%) vs baseline: -0.5%

Memory: ✅ 37.179MB (SLO: <39.000MB -4.7%) vs baseline: +4.6%


✅ ospathsplitext_noaspect

Time: ✅ 1.386µs (SLO: <10.000µs 📉 -86.1%) vs baseline: ~same

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%


iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.410µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -0.7%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%


✅ rsplit_noaspect

Time: ✅ 0.576µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.2%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.1%


✅ split_aspect

Time: ✅ 1.406µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -0.3%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.2%


✅ split_noaspect

Time: ✅ 0.579µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +1.4%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.3%


✅ splitlines_aspect

Time: ✅ 1.400µs (SLO: <10.000µs 📉 -86.0%) vs baseline: +0.4%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.8%


✅ splitlines_noaspect

Time: ✅ 0.581µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -1.1%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%


iastpropagation - 2/2

✅ no-propagation

Time: ✅ 48.881µs (SLO: <60.000µs 📉 -18.5%) vs baseline: ~same

Memory: ✅ 36.766MB (SLO: <39.000MB -5.7%) vs baseline: +4.5%


otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.449ms (SLO: <42.000ms -3.7%) vs baseline: +0.6%

Memory: ✅ 34.387MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.0%


✅ add-link

Time: ✅ 36.293ms (SLO: <38.550ms -5.9%) vs baseline: ~same

Memory: ✅ 34.387MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.0%


✅ add-metrics

Time: ✅ 220.373ms (SLO: <232.000ms -5.0%) vs baseline: +1.5%

Memory: ✅ 34.367MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +4.9%


✅ add-tags

Time: ✅ 211.339ms (SLO: <221.600ms -4.6%) vs baseline: +0.3%

Memory: ✅ 34.465MB (SLO: <39.000MB 📉 -11.6%) vs baseline: +5.0%


✅ get-context

Time: ✅ 28.855ms (SLO: <31.300ms -7.8%) vs baseline: -0.3%

Memory: ✅ 34.426MB (SLO: <39.000MB 📉 -11.7%) vs baseline: +5.0%


✅ is-recording

Time: ✅ 29.092ms (SLO: <31.000ms -6.2%) vs baseline: -0.1%

Memory: ✅ 34.465MB (SLO: <39.000MB 📉 -11.6%) vs baseline: +5.0%


✅ record-exception

Time: ✅ 63.034ms (SLO: <65.850ms -4.3%) vs baseline: +0.1%

Memory: ✅ 34.367MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +4.6%


✅ set-status

Time: ✅ 32.022ms (SLO: <34.150ms -6.2%) vs baseline: ~same

Memory: ✅ 34.406MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.1%


✅ start

Time: ✅ 28.897ms (SLO: <30.150ms -4.2%) vs baseline: +0.5%

Memory: ✅ 34.387MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +4.9%


✅ start-finish

Time: ✅ 33.686ms (SLO: <35.350ms -4.7%) vs baseline: -0.6%

Memory: ✅ 34.387MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +4.9%


✅ start-finish-telemetry

Time: ✅ 33.894ms (SLO: <35.450ms -4.4%) vs baseline: +0.5%

Memory: ✅ 34.426MB (SLO: <39.000MB 📉 -11.7%) vs baseline: +5.0%


✅ update-name

Time: ✅ 31.027ms (SLO: <33.400ms -7.1%) vs baseline: +0.9%

Memory: ✅ 34.387MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +4.8%


packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 339.909ms (SLO: <354.300ms -4.1%) vs baseline: -0.4%

Memory: ✅ 37.929MB (SLO: <40.000MB -5.2%) vs baseline: +5.0%


✅ cache_on

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +0.2%

Memory: ✅ 37.520MB (SLO: <39.000MB -3.8%) vs baseline: +4.3%


packagesupdateimporteddependencies - 24/24

✅ import_many

Time: ✅ 156.267µs (SLO: <170.000µs -8.1%) vs baseline: +0.6%

Memory: ✅ 36.880MB (SLO: <38.500MB -4.2%) vs baseline: +6.0%


✅ import_many_cached

Time: ✅ 121.150µs (SLO: <130.000µs -6.8%) vs baseline: -0.2%

Memory: ✅ 36.479MB (SLO: <38.500MB -5.2%) vs baseline: +5.5%


✅ import_many_stdlib

Time: ✅ 1.632ms (SLO: <1.750ms -6.7%) vs baseline: -0.3%

Memory: ✅ 36.729MB (SLO: <38.500MB -4.6%) vs baseline: +5.8%


✅ import_many_stdlib_cached

Time: ✅ 0.985ms (SLO: <1.100ms 📉 -10.5%) vs baseline: +0.4%

Memory: ✅ 36.594MB (SLO: <38.500MB -5.0%) vs baseline: +5.2%


✅ import_many_unknown

Time: ✅ 839.763µs (SLO: <890.000µs -5.6%) vs baseline: +1.4%

Memory: ✅ 36.628MB (SLO: <38.500MB -4.9%) vs baseline: +5.2%


✅ import_many_unknown_cached

Time: ✅ 791.290µs (SLO: <870.000µs -9.0%) vs baseline: +0.4%

Memory: ✅ 36.784MB (SLO: <38.500MB -4.5%) vs baseline: +5.9%


✅ import_one

Time: ✅ 19.917µs (SLO: <30.000µs 📉 -33.6%) vs baseline: +0.6%

Memory: ✅ 36.816MB (SLO: <39.000MB -5.6%) vs baseline: +6.2%


✅ import_one_cache

Time: ✅ 6.320µs (SLO: <10.000µs 📉 -36.8%) vs baseline: +0.7%

Memory: ✅ 36.520MB (SLO: <38.500MB -5.1%) vs baseline: +5.2%


✅ import_one_stdlib

Time: ✅ 18.691µs (SLO: <20.000µs -6.5%) vs baseline: +0.5%

Memory: ✅ 36.518MB (SLO: <38.500MB -5.1%) vs baseline: +5.1%


✅ import_one_stdlib_cache

Time: ✅ 6.273µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -0.2%

Memory: ✅ 36.468MB (SLO: <38.500MB -5.3%) vs baseline: +5.3%


✅ import_one_unknown

Time: ✅ 45.440µs (SLO: <50.000µs -9.1%) vs baseline: +0.1%

Memory: ✅ 36.488MB (SLO: <38.500MB -5.2%) vs baseline: +5.2%


✅ import_one_unknown_cache

Time: ✅ 6.255µs (SLO: <10.000µs 📉 -37.5%) vs baseline: -0.3%

Memory: ✅ 36.528MB (SLO: <38.500MB -5.1%) vs baseline: +5.8%


ratelimiter - 12/12

✅ defaults

Time: ✅ 2.370µs (SLO: <10.000µs 📉 -76.3%) vs baseline: +0.7%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.9%


✅ high_rate_limit

Time: ✅ 2.438µs (SLO: <10.000µs 📉 -75.6%) vs baseline: +0.8%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.8%


✅ long_window

Time: ✅ 2.346µs (SLO: <10.000µs 📉 -76.5%) vs baseline: -1.1%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


✅ low_rate_limit

Time: ✅ 2.371µs (SLO: <10.000µs 📉 -76.3%) vs baseline: +0.7%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.5%


✅ no_rate_limit

Time: ✅ 0.837µs (SLO: <10.000µs 📉 -91.6%) vs baseline: +1.3%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


✅ short_window

Time: ✅ 2.499µs (SLO: <10.000µs 📉 -75.0%) vs baseline: +0.3%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


recursivecomputation - 8/8

✅ deep

Time: ✅ 308.655ms (SLO: <320.950ms -3.8%) vs baseline: +0.2%

Memory: ✅ 32.716MB (SLO: <34.500MB -5.2%) vs baseline: +4.9%


✅ deep-profiled

Time: ✅ 328.077ms (SLO: <359.150ms -8.7%) vs baseline: -0.3%

Memory: ✅ 37.788MB (SLO: <39.000MB -3.1%) vs baseline: +4.6%


✅ medium

Time: ✅ 7.003ms (SLO: <7.400ms -5.4%) vs baseline: ~same

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


✅ shallow

Time: ✅ 0.941ms (SLO: <1.050ms 📉 -10.4%) vs baseline: +0.4%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%


samplingrules - 8/8

✅ average_match

Time: ✅ 136.823µs (SLO: <290.000µs 📉 -52.8%) vs baseline: -1.0%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +5.1%


✅ high_match

Time: ✅ 172.443µs (SLO: <480.000µs 📉 -64.1%) vs baseline: -1.7%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +5.1%


✅ low_match

Time: ✅ 97.838µs (SLO: <120.000µs 📉 -18.5%) vs baseline: -0.6%

Memory: ✅ 600.440MB (SLO: <700.000MB 📉 -14.2%) vs baseline: +4.9%


✅ very_low_match

Time: ✅ 2.661ms (SLO: <8.500ms 📉 -68.7%) vs baseline: -0.8%

Memory: ✅ 67.890MB (SLO: <75.000MB -9.5%) vs baseline: +4.9%


sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.456µs (SLO: <20.000µs 📉 -47.7%) vs baseline: -0.6%

Memory: ✅ 32.499MB (SLO: <34.000MB -4.4%) vs baseline: +5.2%


✅ all-enabled

Time: ✅ 40.618µs (SLO: <50.000µs 📉 -18.8%) vs baseline: +1.1%

Memory: ✅ 32.460MB (SLO: <34.000MB -4.5%) vs baseline: +5.0%


✅ collectipvariant_exists

Time: ✅ 40.744µs (SLO: <50.000µs 📉 -18.5%) vs baseline: -0.3%

Memory: ✅ 32.401MB (SLO: <34.000MB -4.7%) vs baseline: +4.7%


✅ no-collectipvariant

Time: ✅ 40.629µs (SLO: <50.000µs 📉 -18.7%) vs baseline: +1.5%

Memory: ✅ 32.440MB (SLO: <34.000MB -4.6%) vs baseline: +5.1%


✅ no-useragentvariant

Time: ✅ 39.130µs (SLO: <50.000µs 📉 -21.7%) vs baseline: +1.0%

Memory: ✅ 32.421MB (SLO: <34.000MB -4.6%) vs baseline: +5.2%


✅ obfuscation-no-query

Time: ✅ 40.592µs (SLO: <50.000µs 📉 -18.8%) vs baseline: +0.2%

Memory: ✅ 32.401MB (SLO: <34.000MB -4.7%) vs baseline: +4.9%


✅ obfuscation-regular-case-explicit-query

Time: ✅ 75.929µs (SLO: <90.000µs 📉 -15.6%) vs baseline: +0.2%

Memory: ✅ 32.381MB (SLO: <34.000MB -4.8%) vs baseline: +5.0%


✅ obfuscation-regular-case-implicit-query

Time: ✅ 77.590µs (SLO: <90.000µs 📉 -13.8%) vs baseline: +1.6%

Memory: ✅ 32.401MB (SLO: <34.000MB -4.7%) vs baseline: +4.9%


✅ obfuscation-send-querystring-disabled

Time: ✅ 154.504µs (SLO: <170.000µs -9.1%) vs baseline: +0.4%

Memory: ✅ 32.381MB (SLO: <34.500MB -6.1%) vs baseline: +4.9%


✅ obfuscation-worst-case-explicit-query

Time: ✅ 149.603µs (SLO: <160.000µs -6.5%) vs baseline: +0.9%

Memory: ✅ 32.421MB (SLO: <34.500MB -6.0%) vs baseline: +4.9%


✅ obfuscation-worst-case-implicit-query

Time: ✅ 154.854µs (SLO: <170.000µs -8.9%) vs baseline: +0.1%

Memory: ✅ 32.421MB (SLO: <34.500MB -6.0%) vs baseline: +5.0%


✅ useragentvariant_exists_1

Time: ✅ 39.327µs (SLO: <50.000µs 📉 -21.3%) vs baseline: -0.2%

Memory: ✅ 32.381MB (SLO: <34.000MB -4.8%) vs baseline: +5.0%


✅ useragentvariant_exists_2

Time: ✅ 40.546µs (SLO: <50.000µs 📉 -18.9%) vs baseline: +0.2%

Memory: ✅ 32.381MB (SLO: <34.000MB -4.8%) vs baseline: +4.7%


✅ useragentvariant_exists_3

Time: ✅ 40.473µs (SLO: <50.000µs 📉 -19.1%) vs baseline: +1.0%

Memory: ✅ 32.381MB (SLO: <34.000MB -4.8%) vs baseline: +4.9%


✅ useragentvariant_not_exists_1

Time: ✅ 39.293µs (SLO: <50.000µs 📉 -21.4%) vs baseline: -0.5%

Memory: ✅ 32.283MB (SLO: <34.000MB -5.0%) vs baseline: +4.6%


✅ useragentvariant_not_exists_2

Time: ✅ 39.327µs (SLO: <50.000µs 📉 -21.3%) vs baseline: ~same

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.3%


span - 26/26

✅ add-event

Time: ✅ 17.532ms (SLO: <22.500ms 📉 -22.1%) vs baseline: +1.7%

Memory: ✅ 33.703MB (SLO: <53.000MB 📉 -36.4%) vs baseline: +4.9%


✅ add-metrics

Time: ✅ 88.553ms (SLO: <93.500ms -5.3%) vs baseline: -0.2%

Memory: ✅ 38.119MB (SLO: <53.000MB 📉 -28.1%) vs baseline: +5.1%


✅ add-tags

Time: ✅ 141.627ms (SLO: <155.000ms -8.6%) vs baseline: -0.5%

Memory: ✅ 37.908MB (SLO: <53.000MB 📉 -28.5%) vs baseline: +5.0%


✅ get-context

Time: ✅ 16.088ms (SLO: <20.500ms 📉 -21.5%) vs baseline: +0.3%

Memory: ✅ 33.522MB (SLO: <53.000MB 📉 -36.8%) vs baseline: +5.0%


✅ is-recording

Time: ✅ 16.543ms (SLO: <20.500ms 📉 -19.3%) vs baseline: +1.7%

Memory: ✅ 33.482MB (SLO: <53.000MB 📉 -36.8%) vs baseline: +4.9%


✅ record-exception

Time: ✅ 35.946ms (SLO: <40.000ms 📉 -10.1%) vs baseline: +1.6%

Memory: ✅ 34.037MB (SLO: <53.000MB 📉 -35.8%) vs baseline: +4.8%


✅ set-status

Time: ✅ 17.952ms (SLO: <22.000ms 📉 -18.4%) vs baseline: +1.5%

Memory: ✅ 33.463MB (SLO: <53.000MB 📉 -36.9%) vs baseline: +4.7%


✅ start

Time: ✅ 16.423ms (SLO: <20.500ms 📉 -19.9%) vs baseline: +2.6%

Memory: ✅ 33.502MB (SLO: <53.000MB 📉 -36.8%) vs baseline: +4.9%


✅ start-finish

Time: ✅ 50.747ms (SLO: <52.500ms -3.3%) vs baseline: +0.5%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.9%


✅ start-finish-telemetry

Time: ✅ 52.251ms (SLO: <54.500ms -4.1%) vs baseline: +0.7%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +5.1%


✅ start-finish-traceid128

Time: ✅ 54.328ms (SLO: <57.000ms -4.7%) vs baseline: +1.1%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%


✅ start-traceid128

Time: ✅ 16.448ms (SLO: <22.500ms 📉 -26.9%) vs baseline: +0.9%

Memory: ✅ 33.522MB (SLO: <53.000MB 📉 -36.8%) vs baseline: +5.0%


✅ update-name

Time: ✅ 16.357ms (SLO: <22.000ms 📉 -25.6%) vs baseline: -0.4%

Memory: ✅ 33.675MB (SLO: <53.000MB 📉 -36.5%) vs baseline: +5.1%


tracer - 6/6

✅ large

Time: ✅ 29.080ms (SLO: <32.950ms 📉 -11.7%) vs baseline: +0.1%

Memory: ✅ 32.735MB (SLO: <34.500MB -5.1%) vs baseline: +4.9%


✅ medium

Time: ✅ 2.910ms (SLO: <3.200ms -9.1%) vs baseline: +0.7%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.5%


✅ small

Time: ✅ 327.082µs (SLO: <370.000µs 📉 -11.6%) vs baseline: +0.4%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%

ℹ️ Scenarios Missing SLO Configuration (20 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
  • otelspan-add-event
  • otelspan-add-metrics
  • otelspan-add-tags
  • otelspan-get-context
  • otelspan-is-recording
  • otelspan-record-exception
  • otelspan-set-status
  • otelspan-start
  • otelspan-start-finish
  • otelspan-start-finish-telemetry
  • otelspan-update-name

@PROFeNoM PROFeNoM changed the title feat(openai): Instrument OpenAI responses prompts feat(openai): instrument OpenAI responses prompts Nov 7, 2025
@PROFeNoM PROFeNoM changed the title feat(openai): instrument OpenAI responses prompts feat(openai): instrument openai responses prompts Nov 7, 2025
@PROFeNoM PROFeNoM marked this pull request as ready for review November 10, 2025 13:51
@PROFeNoM PROFeNoM requested review from a team as code owners November 10, 2025 13:51
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@brettlangdon brettlangdon left a comment

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release note lgtm

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@Kyle-Verhoog Kyle-Verhoog left a comment

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excellent work @PROFeNoM! 👏

Implementation is simple, good test coverage and manual validation. One thing I noticed in your staging link is that we're not getting the prompt section rendering in the Overview page altho I do see the prompt tags coming in 🤔.

Image

@PROFeNoM
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Hey @Kyle-Verhoog

I get the following when clicking the staging link:
image

Is the feature flag enabled on your end? The FF thingy is pretty new to me, so perhaps there is a way I'm unaware of to automatically make it available from the link 🤔

@PROFeNoM PROFeNoM enabled auto-merge (squash) November 14, 2025 08:20
@PROFeNoM PROFeNoM merged commit acd8a7d into main Nov 14, 2025
492 of 495 checks passed
@PROFeNoM PROFeNoM deleted the alex/MLOB-4411_instrument-openai-responses-prompts branch November 14, 2025 10:08
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4 participants