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* Add LiteLLM Managed file support for `retrieve`, `list` and `cancel` finetuning jobs (#11033) * feat: initial commit adding managed file support to fine tuning endpoints * feat(fine_tuning/endpoints.py): working call to openai finetuning route Uses litellm managed files for finetuning api support * feat(fine-tuning/main.py): refactor to use LiteLLMFineTuningJob pydantic object includes 'hidden_params' * fix: initial commit adding unified finetuning id support return a unified finetuning id we can use to understand which deployment to route the ft request to * test: fix test * feat(managed_files.py): return unified finetuning job id on create finetuning job enables retrieve, delete to work with litellm managed files * feat(managed_files.py): support managed files for cancel ft job endpoint * feat(managed_files.py): support managed files for cancel ft job endpoint * feat(fine_tuning_endpoints/endpoints.py): add managed files support to list finetuning jobs * feat(finetuning_endpoints/main): add managed files support for retrieving ft job Makes it easier to control permissions for ft endpoint * LiteLLM Managed Files - Enforce validation check if user can access finetuning job (#11034) * feat: initial commit adding managed file support to fine tuning endpoints * feat(fine_tuning/endpoints.py): working call to openai finetuning route Uses litellm managed files for finetuning api support * feat(fine-tuning/main.py): refactor to use LiteLLMFineTuningJob pydantic object includes 'hidden_params' * fix: initial commit adding unified finetuning id support return a unified finetuning id we can use to understand which deployment to route the ft request to * test: fix test * feat(managed_files.py): return unified finetuning job id on create finetuning job enables retrieve, delete to work with litellm managed files * feat(managed_files.py): support managed files for cancel ft job endpoint * feat(managed_files.py): support managed files for cancel ft job endpoint * feat(fine_tuning_endpoints/endpoints.py): add managed files support to list finetuning jobs * feat(finetuning_endpoints/main): add managed files support for retrieving ft job Makes it easier to control permissions for ft endpoint * feat(managed_files.py): store create fine-tune / batch response object in db storing this allows us to filter files returned on list based on what user created * feat(managed_files.py): Ensures users can't retrieve / modify each others jobs * fix: fix check * fix: fix ruff check errors * test: update to handle testing * fix: suppress linting warning - openai 'seed' is none on azure * test: update tests * test: update test |
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| .. | ||
| batch_job_results_furniture.jsonl | ||
| openai_batch_completions.jsonl | ||
| pathrise-convert-1606954137718.json | ||
| test_batches_logging_unit_tests.py | ||
| test_fine_tuning_api.py | ||
| test_openai_batches_and_files.py | ||
| vertex_batch_completions.jsonl | ||