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fix(llmobs): ensure langchain azure openai spans are not duplicate llm marked #14939
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lgtm, thanks for the quick fix!
Bootstrap import analysisComparison of import times between this PR and base. SummaryThe average import time from this PR is: 243 ± 4 ms. The average import time from base is: 245 ± 3 ms. The import time difference between this PR and base is: -1.5 ± 0.2 ms. Import time breakdownThe following import paths have shrunk:
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Performance SLOsComparing candidate yunkim/langchain-aoai (5cdb9c8) with baseline main (0b0f0d3) ❌ Test Failures (1 suite)❌ otelspan - 20/22✅ add-eventTime: ✅ 40.363ms (SLO: <47.150ms 📉 -14.4%) vs baseline: ~same Memory: ✅ 43.795MB (SLO: <47.000MB -6.8%) vs baseline: +4.7% ❌ add-metricsTime: ✅ 317.673ms (SLO: <344.800ms -7.9%) vs baseline: -0.1% Memory: ❌ 652.468MB (SLO: <630.000MB +3.6%) vs baseline: +4.9% ❌ add-tagsTime: ✅ 288.649ms (SLO: <314.000ms -8.1%) vs baseline: -0.3% Memory: ❌ 653.750MB (SLO: <630.000MB +3.8%) vs baseline: +4.9% ✅ get-contextTime: ✅ 80.011ms (SLO: <92.350ms 📉 -13.4%) vs baseline: ~same Memory: ✅ 39.664MB (SLO: <46.500MB 📉 -14.7%) vs baseline: +5.0% ✅ is-recordingTime: ✅ 37.981ms (SLO: <44.500ms 📉 -14.6%) vs baseline: +0.2% Memory: ✅ 43.242MB (SLO: <47.500MB -9.0%) vs baseline: +5.1% ✅ record-exceptionTime: ✅ 58.023ms (SLO: <67.650ms 📉 -14.2%) vs baseline: +0.2% Memory: ✅ 39.831MB (SLO: <47.000MB 📉 -15.3%) vs baseline: +4.5% ✅ set-statusTime: ✅ 43.804ms (SLO: <50.400ms 📉 -13.1%) vs baseline: +0.1% Memory: ✅ 43.194MB (SLO: <47.000MB -8.1%) vs baseline: +4.8% ✅ startTime: ✅ 37.188ms (SLO: <43.450ms 📉 -14.4%) vs baseline: ~same Memory: ✅ 43.185MB (SLO: <47.000MB -8.1%) vs baseline: +4.8% ✅ start-finishTime: ✅ 82.161ms (SLO: <88.000ms -6.6%) vs baseline: +0.3% Memory: ✅ 34.583MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +5.0% ✅ start-finish-telemetryTime: ✅ 83.575ms (SLO: <89.000ms -6.1%) vs baseline: -0.2% Memory: ✅ 34.603MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +4.8% ✅ update-nameTime: ✅ 38.808ms (SLO: <45.150ms 📉 -14.0%) vs baseline: ~same Memory: ✅ 43.478MB (SLO: <47.000MB -7.5%) vs baseline: +5.1% 📈 Performance Regressions (2 suites)📈 iastaspects - 118/118✅ add_aspectTime: ✅ 0.411µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.3% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ add_inplace_aspectTime: ✅ 0.407µs (SLO: <10.000µs 📉 -95.9%) vs baseline: -0.6% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ add_inplace_noaspectTime: ✅ 0.317µs (SLO: <10.000µs 📉 -96.8%) vs baseline: +0.5% Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ add_noaspectTime: ✅ 0.277µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -1.2% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.1% ✅ bytearray_aspectTime: ✅ 1.329µs (SLO: <10.000µs 📉 -86.7%) vs baseline: +0.4% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.8% ✅ bytearray_extend_aspectTime: ✅ 1.519µs (SLO: <10.000µs 📉 -84.8%) vs baseline: -0.3% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0% ✅ bytearray_extend_noaspectTime: ✅ 0.613µs (SLO: <10.000µs 📉 -93.9%) vs baseline: ~same Memory: ✅ 38.004MB (SLO: <39.000MB -2.6%) vs baseline: +4.7% ✅ bytearray_noaspectTime: ✅ 0.483µs (SLO: <10.000µs 📉 -95.2%) vs baseline: -0.2% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ bytes_aspectTime: ✅ 1.312µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +2.6% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ bytes_noaspectTime: ✅ 0.493µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +0.3% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ bytesio_aspectTime: ✅ 1.315µs (SLO: <10.000µs 📉 -86.9%) vs baseline: -0.4% Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ bytesio_noaspectTime: ✅ 0.501µs (SLO: <10.000µs 📉 -95.0%) vs baseline: ~same Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ capitalize_aspectTime: ✅ 0.737µs (SLO: <10.000µs 📉 -92.6%) vs baseline: +0.4% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ capitalize_noaspectTime: ✅ 0.437µs (SLO: <10.000µs 📉 -95.6%) vs baseline: -0.8% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ casefold_aspectTime: ✅ 0.736µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -0.3% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ casefold_noaspectTime: ✅ 0.367µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.7% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ decode_aspectTime: ✅ 0.731µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +0.3% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ decode_noaspectTime: ✅ 0.419µs (SLO: <10.000µs 📉 -95.8%) vs baseline: -0.7% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ encode_aspectTime: ✅ 0.707µs (SLO: <10.000µs 📉 -92.9%) vs baseline: -1.1% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ encode_noaspectTime: ✅ 0.401µs (SLO: <10.000µs 📉 -96.0%) vs baseline: +0.4% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ format_aspectTime: ✅ 3.322µs (SLO: <10.000µs 📉 -66.8%) vs baseline: -0.8% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ format_map_aspectTime: ✅ 3.570µs (SLO: <10.000µs 📉 -64.3%) vs baseline: +0.6% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0% ✅ format_map_noaspectTime: ✅ 0.779µs (SLO: <10.000µs 📉 -92.2%) vs baseline: +0.9% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.6% ✅ format_noaspectTime: ✅ 0.607µs (SLO: <10.000µs 📉 -93.9%) vs baseline: +1.4% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.8% ✅ index_aspectTime: ✅ 0.357µs (SLO: <10.000µs 📉 -96.4%) vs baseline: -0.2% Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0% ✅ index_noaspectTime: ✅ 0.278µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +0.5% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ join_aspectTime: ✅ 1.325µs (SLO: <10.000µs 📉 -86.8%) vs baseline: +0.2% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ join_noaspectTime: ✅ 0.491µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.7% Memory: ✅ 38.004MB (SLO: <39.000MB -2.6%) vs baseline: +4.7% ✅ ljust_aspectTime: ✅ 2.644µs (SLO: <20.000µs 📉 -86.8%) vs baseline: +1.4% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8% ✅ ljust_noaspectTime: ✅ 0.407µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.4% Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.2% ✅ lower_aspectTime: ✅ 2.215µs (SLO: <10.000µs 📉 -77.8%) vs baseline: -2.0% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ lower_noaspectTime: ✅ 0.370µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +0.3% Memory: ✅ 37.985MB (SLO: <39.000MB -2.6%) vs baseline: +4.5% ✅ lstrip_aspectTime: ✅ 2.428µs (SLO: <20.000µs 📉 -87.9%) vs baseline: 📈 +10.3% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.1% ✅ lstrip_noaspectTime: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -1.3% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.1% ✅ modulo_aspectTime: ✅ 1.005µs (SLO: <10.000µs 📉 -90.0%) vs baseline: -0.4% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.9% ✅ modulo_aspect_for_bytearray_bytearrayTime: ✅ 1.540µs (SLO: <10.000µs 📉 -84.6%) vs baseline: +0.4% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ modulo_aspect_for_bytesTime: ✅ 0.975µs (SLO: <10.000µs 📉 -90.3%) vs baseline: +0.2% Memory: ✅ 38.004MB (SLO: <39.000MB -2.6%) vs baseline: +4.6% ✅ modulo_aspect_for_bytes_bytearrayTime: ✅ 1.196µs (SLO: <10.000µs 📉 -88.0%) vs baseline: -1.3% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.6% ✅ modulo_noaspectTime: ✅ 0.628µs (SLO: <10.000µs 📉 -93.7%) vs baseline: ~same Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8% ✅ replace_aspectTime: ✅ 4.847µs (SLO: <10.000µs 📉 -51.5%) vs baseline: +0.7% Memory: ✅ 37.985MB (SLO: <39.000MB -2.6%) vs baseline: +4.6% ✅ replace_noaspectTime: ✅ 0.465µs (SLO: <10.000µs 📉 -95.4%) vs baseline: +0.3% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.9% ✅ repr_aspectTime: ✅ 0.914µs (SLO: <10.000µs 📉 -90.9%) vs baseline: +0.7% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ repr_noaspectTime: ✅ 0.416µs (SLO: <10.000µs 📉 -95.8%) vs baseline: ~same Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8% ✅ rstrip_aspectTime: ✅ 1.900µs (SLO: <20.000µs 📉 -90.5%) vs baseline: +0.2% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.1% ✅ rstrip_noaspectTime: ✅ 0.378µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -1.2% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +5.0% ✅ slice_aspectTime: ✅ 0.501µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +1.1% Memory: ✅ 38.004MB (SLO: <39.000MB -2.6%) vs baseline: +4.9% ✅ slice_noaspectTime: ✅ 0.448µs (SLO: <10.000µs 📉 -95.5%) vs baseline: +0.2% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0% ✅ stringio_aspectTime: ✅ 1.554µs (SLO: <10.000µs 📉 -84.5%) vs baseline: -0.4% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0% ✅ stringio_noaspectTime: ✅ 0.719µs (SLO: <10.000µs 📉 -92.8%) vs baseline: +0.2% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ strip_aspectTime: ✅ 2.483µs (SLO: <20.000µs 📉 -87.6%) vs baseline: 📈 +12.1% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ strip_noaspectTime: ✅ 0.384µs (SLO: <10.000µs 📉 -96.2%) vs baseline: ~same Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7% ✅ swapcase_aspectTime: ✅ 2.482µs (SLO: <10.000µs 📉 -75.2%) vs baseline: +1.6% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ swapcase_noaspectTime: ✅ 0.540µs (SLO: <10.000µs 📉 -94.6%) vs baseline: +1.0% Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7% ✅ title_aspectTime: ✅ 2.543µs (SLO: <10.000µs 📉 -74.6%) vs baseline: +6.2% Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.6% ✅ title_noaspectTime: ✅ 0.500µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.6% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0% ✅ translate_aspectTime: ✅ 3.298µs (SLO: <10.000µs 📉 -67.0%) vs baseline: +0.5% Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9% ✅ translate_noaspectTime: ✅ 1.047µs (SLO: <10.000µs 📉 -89.5%) vs baseline: +0.7% Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ upper_aspectTime: ✅ 2.270µs (SLO: <10.000µs 📉 -77.3%) vs baseline: -0.2% Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9% ✅ upper_noaspectTime: ✅ 0.369µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.7% Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +5.0% 📈 iastaspectsospath - 24/24✅ ospathbasename_aspectTime: ✅ 4.401µs (SLO: <10.000µs 📉 -56.0%) vs baseline: +2.2% Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.6% ✅ ospathbasename_noaspectTime: ✅ 1.087µs (SLO: <10.000µs 📉 -89.1%) vs baseline: -0.2% Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.8% ✅ ospathjoin_aspectTime: ✅ 7.048µs (SLO: <10.000µs 📉 -29.5%) vs baseline: 📈 +13.7% Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +4.9% ✅ ospathjoin_noaspectTime: ✅ 2.296µs (SLO: <10.000µs 📉 -77.0%) vs baseline: -0.4% Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.1% ✅ ospathnormcase_aspectTime: ✅ 4.007µs (SLO: <10.000µs 📉 -59.9%) vs baseline: 📈 +11.6% Memory: ✅ 37.572MB (SLO: <39.000MB -3.7%) vs baseline: +4.5% ✅ ospathnormcase_noaspectTime: ✅ 0.586µs (SLO: <10.000µs 📉 -94.1%) vs baseline: +1.1% Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0% ✅ ospathsplit_aspectTime: ✅ 4.953µs (SLO: <10.000µs 📉 -50.5%) vs baseline: -0.8% Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.7% ✅ ospathsplit_noaspectTime: ✅ 1.598µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.7% Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +4.9% ✅ ospathsplitdrive_aspectTime: ✅ 4.101µs (SLO: <10.000µs 📉 -59.0%) vs baseline: 📈 +10.1% Memory: ✅ 37.729MB (SLO: <39.000MB -3.3%) vs baseline: +5.0% ✅ ospathsplitdrive_noaspectTime: ✅ 0.702µs (SLO: <10.000µs 📉 -93.0%) vs baseline: +0.7% Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.9% ✅ ospathsplitext_aspectTime: ✅ 4.635µs (SLO: <10.000µs 📉 -53.7%) vs baseline: -0.1% Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +5.0% ✅ ospathsplitext_noaspectTime: ✅ 1.379µs (SLO: <10.000µs 📉 -86.2%) vs baseline: -0.2% Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0% 🟡 Near SLO Breach (3 suites)🟡 djangosimple - 30/30✅ appsecTime: ✅ 20.404ms (SLO: <22.300ms -8.5%) vs baseline: -0.3% Memory: ✅ 65.485MB (SLO: <67.000MB -2.3%) vs baseline: +4.8% ✅ exception-replay-enabledTime: ✅ 1.343ms (SLO: <1.450ms -7.4%) vs baseline: -0.3% Memory: ✅ 64.622MB (SLO: <67.000MB -3.5%) vs baseline: +4.8% ✅ iastTime: ✅ 20.432ms (SLO: <22.250ms -8.2%) vs baseline: ~same Memory: ✅ 65.539MB (SLO: <67.000MB -2.2%) vs baseline: +4.9% ✅ profilerTime: ✅ 15.290ms (SLO: <16.550ms -7.6%) vs baseline: +0.5% Memory: ✅ 54.028MB (SLO: <54.500MB 🟡 -0.9%) vs baseline: +5.3% ✅ resource-renamingTime: ✅ 20.476ms (SLO: <21.750ms -5.9%) vs baseline: -0.6% Memory: ✅ 65.411MB (SLO: <67.000MB -2.4%) vs baseline: +4.8% ✅ span-code-originTime: ✅ 25.299ms (SLO: <28.200ms 📉 -10.3%) vs baseline: ~same Memory: ✅ 67.534MB (SLO: <69.500MB -2.8%) vs baseline: +4.7% ✅ tracerTime: ✅ 20.385ms (SLO: <21.750ms -6.3%) vs baseline: -0.2% Memory: ✅ 65.486MB (SLO: <67.000MB -2.3%) vs baseline: +5.0% ✅ tracer-and-profilerTime: ✅ 21.987ms (SLO: <23.500ms -6.4%) vs baseline: -0.2% Memory: ✅ 66.643MB (SLO: <67.500MB 🟡 -1.3%) vs baseline: +5.0% ✅ tracer-dont-create-db-spansTime: ✅ 19.278ms (SLO: <21.500ms 📉 -10.3%) vs baseline: -0.2% Memory: ✅ 65.447MB (SLO: <66.000MB 🟡 -0.8%) vs baseline: +4.8% ✅ tracer-minimalTime: ✅ 16.558ms (SLO: <17.500ms -5.4%) vs baseline: -0.3% Memory: ✅ 65.420MB (SLO: <66.000MB 🟡 -0.9%) vs baseline: +4.7% ✅ tracer-nativeTime: ✅ 20.443ms (SLO: <21.750ms -6.0%) vs baseline: -0.2% Memory: ✅ 71.428MB (SLO: <72.500MB 🟡 -1.5%) vs baseline: +4.9% ✅ tracer-no-cachesTime: ✅ 18.477ms (SLO: <19.650ms -6.0%) vs baseline: +0.4% Memory: ✅ 65.407MB (SLO: <67.000MB -2.4%) vs baseline: +4.8% ✅ tracer-no-databasesTime: ✅ 18.762ms (SLO: <20.100ms -6.7%) vs baseline: ~same Memory: ✅ 65.197MB (SLO: <67.000MB -2.7%) vs baseline: +4.4% ✅ tracer-no-middlewareTime: ✅ 20.086ms (SLO: <21.500ms -6.6%) vs baseline: -0.1% Memory: ✅ 65.404MB (SLO: <67.000MB -2.4%) vs baseline: +4.7% ✅ tracer-no-templatesTime: ✅ 20.209ms (SLO: <22.000ms -8.1%) vs baseline: -0.1% Memory: ✅ 65.539MB (SLO: <67.000MB -2.2%) vs baseline: +4.9% 🟡 errortrackingdjangosimple - 6/6✅ errortracking-enabled-allTime: ✅ 18.100ms (SLO: <19.850ms -8.8%) vs baseline: +0.3% Memory: ✅ 65.226MB (SLO: <66.500MB 🟡 -1.9%) vs baseline: +4.7% ✅ errortracking-enabled-userTime: ✅ 18.006ms (SLO: <19.400ms -7.2%) vs baseline: -0.1% Memory: ✅ 65.294MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +5.0% ✅ tracer-enabledTime: ✅ 18.071ms (SLO: <19.450ms -7.1%) vs baseline: +0.2% Memory: ✅ 65.294MB (SLO: <66.500MB 🟡 -1.8%) vs baseline: +5.0% 🟡 flasksimple - 18/18✅ appsec-getTime: ✅ 4.590ms (SLO: <4.750ms -3.4%) vs baseline: -0.3% Memory: ✅ 62.010MB (SLO: <65.000MB -4.6%) vs baseline: +4.9% ✅ appsec-postTime: ✅ 6.600ms (SLO: <6.750ms -2.2%) vs baseline: -0.2% Memory: ✅ 62.030MB (SLO: <65.000MB -4.6%) vs baseline: +5.0% ✅ appsec-telemetryTime: ✅ 4.579ms (SLO: <4.750ms -3.6%) vs baseline: -0.2% Memory: ✅ 61.912MB (SLO: <65.000MB -4.8%) vs baseline: +4.8% ✅ debuggerTime: ✅ 1.861ms (SLO: <2.000ms -7.0%) vs baseline: +0.5% Memory: ✅ 45.377MB (SLO: <47.000MB -3.5%) vs baseline: +4.8% ✅ iast-getTime: ✅ 1.857ms (SLO: <2.000ms -7.2%) vs baseline: -0.6% Memory: ✅ 42.369MB (SLO: <49.000MB 📉 -13.5%) vs baseline: +4.8% ✅ profilerTime: ✅ 1.917ms (SLO: <2.100ms -8.7%) vs baseline: +0.6% Memory: ✅ 46.439MB (SLO: <47.000MB 🟡 -1.2%) vs baseline: +4.7% ✅ resource-renamingTime: ✅ 3.372ms (SLO: <3.650ms -7.6%) vs baseline: ~same Memory: ✅ 52.278MB (SLO: <53.500MB -2.3%) vs baseline: +4.9% ✅ tracerTime: ✅ 3.361ms (SLO: <3.650ms -7.9%) vs baseline: -0.3% Memory: ✅ 52.239MB (SLO: <53.500MB -2.4%) vs baseline: +4.9% ✅ tracer-nativeTime: ✅ 3.355ms (SLO: <3.650ms -8.1%) vs baseline: ~same Memory: ✅ 58.339MB (SLO: <60.000MB -2.8%) vs baseline: +5.0%
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MLOB-4230
Description
This PR does 3 things:
VCR_PROVIDER_MAP
value for the testagent configs.VCR_PROVIDER_MAP
env var to allow the testagent vcr proxy to call the azure openai endpoint.We have logic in our langchain integration to mark specific LLM calls as generic workflow spans (instead of the default llm span) if we detect the corresponding integration (for the given provider, i.e.
openai/anthropic
) is also enabled and will result in a downstream LLM span. Our product experience breaks if multiple spans duplicate represent an LLM call, and we were previously missing support for azure openai.Testing
Risks
Additional Notes