mirror of
https://github.com/BerriAI/litellm.git
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232 lines
6.8 KiB
Python
232 lines
6.8 KiB
Python
"""Client for the batches e2e suite: file upload/download and the batch
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operations (create / retrieve / cancel / list) over the shared ProxyClient.
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Batch deployments are registered at runtime via /model/new (see conftest.py),
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not baked into the proxy config. `create_batch` returns the raw HTTP outcome
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(StreamingResponse) so a 403 model access denial and a provider-native batch
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body both surface; the test parses BatchObject from the body. A `provider` arg
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routes a call to /{provider}/v1/..., which the provider-fallback scenario needs
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(its ids are raw, not model-encoded). The request/response models are
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co-located here because only this suite uses them.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from pydantic import BaseModel
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from proxy_client import ProxyClient
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from e2e_http import (
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FileUploadForm,
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NoBody,
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Result,
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StreamingResponse,
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UnknownApiError,
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)
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from models import LiteLLMParamsBody
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UPLOAD_FILENAME = "batch_input.jsonl"
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class FileObject(BaseModel):
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id: str
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object: str | None = None
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purpose: str | None = None
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filename: str | None = None
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bytes: int | None = None
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status: str | None = None
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created_at: int | None = None
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class FileList(BaseModel):
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"""GET /v1/files page. The cursors are modelled because they are part of the
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page's isolation contract: they must address rows in `data`, never rows the
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caller was not allowed to see."""
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object: str | None = None
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data: list[FileObject] = []
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first_id: str | None = None
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last_id: str | None = None
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has_more: bool | None = None
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class BatchErrorItem(BaseModel):
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code: str | None = None
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line: int | None = None
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message: str | None = None
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class BatchErrorList(BaseModel):
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object: str | None = None
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data: list[BatchErrorItem] = []
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class BatchObject(BaseModel):
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id: str
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object: str | None = None
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status: str
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endpoint: str | None = None
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input_file_id: str | None = None
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output_file_id: str | None = None
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error_file_id: str | None = None
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errors: BatchErrorList | None = None
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metadata: dict[str, str] | None = None
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completion_window: str | None = None
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created_at: int | None = None
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model: str | None = None
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class BatchList(BaseModel):
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object: str | None = None
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data: list[BatchObject] = []
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class FileDeleteResponse(BaseModel):
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id: str
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object: str | None = None
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deleted: bool
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class BatchCreateBody(BaseModel):
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input_file_id: str
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endpoint: str = "/v1/chat/completions"
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completion_window: str = "24h"
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model: str | None = None
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metadata: dict[str, str] | None = None
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class ModelQuery(BaseModel):
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model: str | None = None
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class BatchListQuery(BaseModel):
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model: str | None = None
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limit: int | None = None
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def is_model_access_denied(resp: StreamingResponse) -> bool:
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"""True if the proxy rejected the call because the key may not access the model."""
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return resp.status_code == 403 and "key_model_access_denied" in resp.body
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def is_result_access_denied[R: BaseModel](result: Result[R]) -> bool:
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match result:
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case UnknownApiError(status_code=403, body=body):
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return "key_model_access_denied" in body
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case _:
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return False
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@dataclass(frozen=True, slots=True)
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class BatchClient:
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proxy: ProxyClient
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def create_model(self, model_name: str, litellm_params: LiteLLMParamsBody) -> str:
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return self.proxy.create_model(model_name, litellm_params, mode="batch")
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def delete_model(self, model_id: str) -> None:
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self.proxy.delete_model(model_id)
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def upload_file(
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self,
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*,
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content: bytes,
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form: FileUploadForm,
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key: str,
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model: str | None = None,
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provider: str | None = None,
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) -> Result[FileObject]:
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return self.proxy.transport.upload(
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_files_path(provider),
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headers=self.proxy.transport.bearer(key),
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form=form,
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filename=UPLOAD_FILENAME,
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content=content,
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params=ModelQuery(model=model),
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response_type=FileObject,
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)
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def retrieve_file(
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self, file_id: str, *, key: str, provider: str | None = None
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) -> Result[FileObject]:
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return self.proxy.transport.get(
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f"{_files_path(provider)}/{file_id}",
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headers=self.proxy.transport.bearer(key),
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params=NoBody(),
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response_type=FileObject,
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)
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def list_files(self, *, key: str, provider: str | None = None) -> Result[FileList]:
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return self.proxy.transport.get(
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_files_path(provider),
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headers=self.proxy.transport.bearer(key),
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params=NoBody(),
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response_type=FileList,
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)
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def create_batch(
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self, *, body: BatchCreateBody, key: str, provider: str | None = None
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) -> StreamingResponse:
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return self.proxy.transport.send(
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_batches_path(provider),
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headers=self.proxy.transport.bearer(key),
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json=body,
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)
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def retrieve_batch(
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self, batch_id: str, *, key: str, provider: str | None = None
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) -> Result[BatchObject]:
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return self.proxy.transport.get(
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f"{_batches_path(provider)}/{batch_id}",
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headers=self.proxy.transport.bearer(key),
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params=NoBody(),
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response_type=BatchObject,
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)
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def cancel_batch(
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self, batch_id: str, *, key: str, provider: str | None = None
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) -> Result[BatchObject]:
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return self.proxy.transport.post(
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f"{_batches_path(provider)}/{batch_id}/cancel",
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headers=self.proxy.transport.bearer(key),
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json=NoBody(),
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response_type=BatchObject,
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)
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def list_batches(
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self,
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*,
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key: str,
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provider: str | None = None,
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model: str | None = None,
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limit: int | None = None,
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) -> Result[BatchList]:
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return self.proxy.transport.get(
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_batches_path(provider),
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headers=self.proxy.transport.bearer(key),
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params=BatchListQuery(model=model, limit=limit),
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response_type=BatchList,
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)
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def delete_file(
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self, file_id: str, *, key: str, provider: str | None = None
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) -> Result[FileDeleteResponse]:
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return self.proxy.transport.delete(
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f"{_files_path(provider)}/{file_id}",
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headers=self.proxy.transport.bearer(key),
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json=NoBody(),
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response_type=FileDeleteResponse,
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)
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def _files_path(provider: str | None) -> str:
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return f"/{provider}/v1/files" if provider else "/v1/files"
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def _batches_path(provider: str | None) -> str:
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return f"/{provider}/v1/batches" if provider else "/v1/batches"
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def build_client(proxy: ProxyClient) -> BatchClient:
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return BatchClient(proxy=proxy)
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