mirror of
https://github.com/BerriAI/litellm.git
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053b0e741f
* test: fix import for test
* fix: fix bad error string
* docs: cleanup files docs
* fix(files/main.py): cleanup error string
* style: initial commit with a provider/config pattern for files api
google ai studio files api onboarding
* fix: test
* feat(gemini/files/transformation.py): support gemini files api response transformation
* fix(gemini/files/transformation.py): return file id as gemini uri
allows id to be passed in to chat completion request, just like openai
* feat(llm_http_handler.py): support async route for files api on llm_http_handler
* fix: fix linting errors
* fix: fix model info check
* fix: fix ruff errors
* fix: fix linting errors
* Revert "fix: fix linting errors"
This reverts commit 926a5a527f.
* fix: fix linting errors
* test: fix test
* test: fix tests
91 lines
2.9 KiB
Python
91 lines
2.9 KiB
Python
from typing import Callable, Optional, Union
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import httpx
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
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from litellm.types.utils import CustomStreamingDecoder, ModelResponse
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from ...openai_like.chat.handler import OpenAILikeChatHandler
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from ..common_utils import _get_api_params
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from .transformation import IBMWatsonXChatConfig
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watsonx_chat_transformation = IBMWatsonXChatConfig()
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class WatsonXChatHandler(OpenAILikeChatHandler):
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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def completion(
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self,
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*,
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model: str,
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messages: list,
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api_base: str,
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custom_llm_provider: str,
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custom_prompt_dict: dict,
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model_response: ModelResponse,
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print_verbose: Callable,
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encoding,
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api_key: Optional[str],
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logging_obj,
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optional_params: dict,
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acompletion=None,
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litellm_params: dict = {},
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headers: Optional[dict] = None,
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logger_fn=None,
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timeout: Optional[Union[float, httpx.Timeout]] = None,
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client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
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custom_endpoint: Optional[bool] = None,
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streaming_decoder: Optional[CustomStreamingDecoder] = None,
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fake_stream: bool = False,
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):
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api_params = _get_api_params(params=optional_params)
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## UPDATE HEADERS
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headers = watsonx_chat_transformation.validate_environment(
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headers=headers or {},
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model=model,
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messages=messages,
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optional_params=optional_params,
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api_key=api_key,
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)
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## UPDATE PAYLOAD (optional params)
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watsonx_auth_payload = watsonx_chat_transformation._prepare_payload(
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model=model,
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api_params=api_params,
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)
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optional_params.update(watsonx_auth_payload)
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## GET API URL
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api_base = watsonx_chat_transformation.get_complete_url(
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api_base=api_base,
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api_key=api_key,
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model=model,
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optional_params=optional_params,
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litellm_params=litellm_params,
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stream=optional_params.get("stream", False),
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)
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return super().completion(
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model=model,
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messages=messages,
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api_base=api_base,
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custom_llm_provider=custom_llm_provider,
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custom_prompt_dict=custom_prompt_dict,
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model_response=model_response,
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print_verbose=print_verbose,
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encoding=encoding,
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api_key=api_key,
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logging_obj=logging_obj,
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optional_params=optional_params,
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acompletion=acompletion,
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litellm_params=litellm_params,
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logger_fn=logger_fn,
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headers=headers,
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timeout=timeout,
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client=client,
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custom_endpoint=True,
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streaming_decoder=streaming_decoder,
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)
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