* 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 * test: update test * fix: fix linting error * fix: fix ruff linting error * test: fix check |
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| anthropic/chat | ||
| azure | ||
| azure_ai/chat | ||
| bedrock | ||
| chat | ||
| cohere/chat | ||
| custom_httpx | ||
| databricks | ||
| deepgram/audio_transcription | ||
| featherless_ai/chat | ||
| fireworks_ai/chat | ||
| gemini/realtime | ||
| hosted_vllm/chat | ||
| llamafile/chat | ||
| lm_studio | ||
| meta_llama | ||
| mistral | ||
| novita/chat | ||
| nscale/chat | ||
| ollama | ||
| openai | ||
| openrouter/chat | ||
| sagemaker | ||
| vertex_ai | ||