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[python] support uploading examples with attachments and running evals on examples with attachments #298

[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 #298

Triggered via pull request November 13, 2024 20:48
Status Success
Total duration 19m 3s
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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 +- 42 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.18 sec +- 0.05 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.18 sec +- 0.05 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 715 us +- 7 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.3 ms +- 0.6 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.6 ms +- 0.2 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (15.0 ms) is 23% of the mean (64.7 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: 64.7 ms +- 15.0 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (29.4 ms) is 14% of the mean (215 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: 215 ms +- 29 ms
Comparison against main: python/langsmith/client.py#L1
+-----------------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===============================================+=========+=======================+ | dumps_dataclass_nested_50x100 | 25.4 ms | 25.6 ms: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_50x100 | 25.1 ms | 25.3 ms: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 715 us: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.00x faster | +-----------------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (6): dumps_pydantic_nested_50x100, dumps_pydanticv1_nested_50x100, create_10_000_run_trees, dumps_class_nested_py_leaf_100x200, create_20_000_run_trees, create_5_000_run_trees