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py: Enable multipart endpoint without feature flag #95

py: Enable multipart endpoint without feature flag

py: Enable multipart endpoint without feature flag #95

Triggered via pull request October 14, 2024 16:07
Status Success
Total duration 21m 41s
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The following actions use a deprecated Node.js version and will be forced to run on node20: actions/cache@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
Benchmark results: python/langsmith/client.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 578 ms +- 49 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.16 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.15 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 768 us +- 14 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.4 ms +- 0.2 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 112 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.8 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (17.8 ms) is 27% of the mean (66.2 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. dumps_pydantic_nested_50x100: Mean +- std dev: 66.2 ms +- 17.8 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (34.6 ms) is 16% of the mean (222 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. dumps_pydanticv1_nested_50x100: Mean +- std dev: 222 ms +- 35 ms
Comparison against main: python/langsmith/client.py#L1
+------------------------------+----------+------------------------+ | Benchmark | main | changes | +==============================+==========+========================+ | create_20_000_run_trees | 1.12 sec | 1.15 sec: 1.03x slower | +------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 61.6 ms | 66.2 ms: 1.08x slower | +------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.01x slower | +------------------------------+----------+------------------------+ Benchmark hidden because not significant (7): create_5_000_run_trees, dumps_class_nested_py_leaf_50x100, dumps_dataclass_nested_50x100, dumps_class_nested_py_branch_and_leaf_200x400, dumps_class_nested_py_leaf_100x200, dumps_pydanticv1_nested_50x100, create_10_000_run_trees