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py: For multipart endpoint don't split into batches of 20mb #33

py: For multipart endpoint don't split into batches of 20mb

py: For multipart endpoint don't split into batches of 20mb #33

Triggered via pull request October 6, 2024 00:23
Status Success
Total duration 20m 52s
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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: 575 ms +- 37 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.14 sec +- 0.05 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.14 sec +- 0.05 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 771 us +- 9 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.0 ms +- 0.4 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 111 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.3 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (6.19 ms) is 11% of the mean (57.1 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: 57.1 ms +- 6.2 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (27.6 ms) is 13% of the mean (208 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: 208 ms +- 28 ms
Comparison against main: python/langsmith/client.py#L1
+------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +====================================+=========+=======================+ | dumps_pydantic_nested_50x100 | 61.9 ms | 57.1 ms: 1.08x faster | +------------------------------------+---------+-----------------------+ | dumps_dataclass_nested_50x100 | 28.0 ms | 27.3 ms: 1.02x faster | +------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_100x200 | 114 ms | 111 ms: 1.02x faster | +------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_50x100 | 27.6 ms | 27.0 ms: 1.02x faster | +------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.02x faster | +------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (5): dumps_pydanticv1_nested_50x100, create_20_000_run_trees, create_10_000_run_trees, create_5_000_run_trees, dumps_class_nested_py_branch_and_leaf_200x400