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(feat) /batches - track user_api_key_alias, user_api_key_team_alias etc for /batch requests (#7401)

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* run azure testing on ci/cd

* update docs on azure batches endpoints

* add input azure.jsonl

* refactor - use separate file for batches endpoints

* fixes for passing custom llm provider to /batch endpoints

* pass custom llm provider to files endpoints

* update azure batches doc

* add info for azure batches api

* update batches endpoints

* use simple helper for raising proxy exception

* update config.yml

* fix imports

* add type hints to get_litellm_params

* update get_litellm_params

* update get_litellm_params

* update get slp

* QOL - stop double logging a create batch operations on custom loggers

* re use slp from og event

* _create_standard_logging_object_for_completed_batch

* fix linting errors

* reduce num changes in PR

* update BATCH_STATUS_POLL_MAX_ATTEMPTS
This commit is contained in:
Ishaan Jaff 2024-12-24 17:44:28 -08:00 • committed by GitHub
parent 47e12802df
commit 08a4c72692
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9 changed files with 72 additions and 29 deletions
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18
litellm/batches/main.py
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@ -19,13 +19,14 @@ from typing import Any, Coroutine, Dict, Literal, Optional, Union
import httpx
import litellm
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.azure.azure import AzureBatchesAPI
from litellm.llms.openai.openai import OpenAIBatchesAPI
from litellm.llms.vertex_ai.batches.handler import VertexAIBatchPrediction
from litellm.secret_managers.main import get_secret_str
from litellm.types.llms.openai import Batch, CreateBatchRequest, RetrieveBatchRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.utils import client, supports_httpx_timeout
from litellm.utils import client, get_litellm_params, supports_httpx_timeout
from .batch_utils import batches_async_logging
@ -114,9 +115,22 @@ def create_batch(
try:
optional_params = GenericLiteLLMParams(**kwargs)
_is_async = kwargs.pop("acreate_batch", False) is True
litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj", None)
### TIMEOUT LOGIC ###
timeout = optional_params.timeout or kwargs.get("request_timeout", 600) or 600
# set timeout for 10 minutes by default
litellm_params = get_litellm_params(
custom_llm_provider=custom_llm_provider,
litellm_call_id=kwargs.get("litellm_call_id", None),
litellm_trace_id=kwargs.get("litellm_trace_id"),
litellm_metadata=kwargs.get("litellm_metadata"),
)
litellm_logging_obj.update_environment_variables(
model=None,
user=None,
optional_params=optional_params.model_dump(),
litellm_params=litellm_params,
custom_llm_provider=custom_llm_provider,
)
if (
timeout is not None