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[python] support uploading examples with attachments and running evals on examples with attachments #288

[python] support uploading examples with attachments and running evals on examples with attachments

[python] support uploading examples with attachments and running evals on examples with attachments #288

Triggered via pull request November 13, 2024 02:39
Status Success
Total duration 21m 38s
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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: 617 ms +- 46 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.18 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.19 sec +- 0.05 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 704 us +- 15 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 24.9 ms +- 0.2 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.3 ms +- 0.2 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (16.4 ms) is 25% of the mean (66.4 ms) * the maximum (101 ms) is 52% greater than the mean (66.4 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: 66.4 ms +- 16.4 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (32.3 ms) is 15% of the mean (221 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: 221 ms +- 32 ms
Comparison against main: python/langsmith/client.py#L1
+------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +====================================+=========+=======================+ | dumps_dataclass_nested_50x100 | 25.7 ms | 25.3 ms: 1.02x faster | +------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_50x100 | 25.2 ms | 24.9 ms: 1.01x faster | +------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_100x200 | 105 ms | 104 ms: 1.01x faster | +------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.00x faster | +------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (6): dumps_pydantic_nested_50x100, create_10_000_run_trees, dumps_class_nested_py_branch_and_leaf_200x400, dumps_pydanticv1_nested_50x100, create_20_000_run_trees, create_5_000_run_trees