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Litellm dev 12 30 2024 p2 (#7495)

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* test(azure_openai_o1.py): initial commit with testing for azure openai o1 preview model

* fix(base_llm_unit_tests.py): handle azure o1 preview response format tests

skip as o1 on azure doesn't support tool calling yet

* fix: initial commit of azure o1 handler using openai caller

simplifies calling + allows fake streaming logic alr. implemented for openai to just work

* feat(azure/o1_handler.py): fake o1 streaming for azure o1 models

azure does not currently support streaming for o1

* feat(o1_transformation.py): support overriding 'should_fake_stream' on azure/o1 via 'supports_native_streaming' param on model info

enables user to toggle on when azure allows o1 streaming without needing to bump versions

* style(router.py): remove 'give feedback/get help' messaging when router is used

Prevents noisy messaging

Closes https://github.com/BerriAI/litellm/issues/5942

* fix(types/utils.py): handle none logprobs

Fixes https://github.com/BerriAI/litellm/issues/328

* fix(exception_mapping_utils.py): fix error str unbound error

* refactor(azure_ai/): move to openai_like chat completion handler

allows for easy swapping of api base url's (e.g. ai.services.com)

Fixes https://github.com/BerriAI/litellm/issues/7275

* refactor(azure_ai/): move to base llm http handler

* fix(azure_ai/): handle differing api endpoints

* fix(azure_ai/): make sure all unit tests are passing

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting error

* fix: fix linting errors

* fix(azure_ai/transformation.py): handle extra body param

* fix(azure_ai/transformation.py): fix max retries param handling

* fix: fix test

* test(test_azure_o1.py): fix test

* fix(llm_http_handler.py): support handling azure ai unprocessable entity error

* fix(llm_http_handler.py): handle sync invalid param error for azure ai

* fix(azure_ai/): streaming support with base_llm_http_handler

* fix(llm_http_handler.py): working sync stream calls with unprocessable entity handling for azure ai

* fix: fix linting errors

* fix(llm_http_handler.py): fix linting error

* fix(azure_ai/): handle cohere tool call invalid index param error
This commit is contained in:
Krish Dholakia 2025-01-01 18:57:29 -08:00 • committed by GitHub
parent b5e14ef52a
commit b0f570ee16
42 changed files with 638 additions and 192 deletions
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12
litellm/llms/base_llm/base_model_iterator.py
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@ -1,8 +1,8 @@
import json
from abc import abstractmethod
from typing import Optional
from typing import Optional, Union
from litellm.types.utils import GenericStreamingChunk
from litellm.types.utils import GenericStreamingChunk, ModelResponseStream
class BaseModelResponseIterator:
@ -13,7 +13,9 @@ class BaseModelResponseIterator:
self.response_iterator = self.streaming_response
self.json_mode = json_mode
def chunk_parser(self, chunk: dict) -> GenericStreamingChunk:
def chunk_parser(
self, chunk: dict
) -> Union[GenericStreamingChunk, ModelResponseStream]:
return GenericStreamingChunk(
text="",
is_finished=False,
@ -27,7 +29,9 @@ class BaseModelResponseIterator:
def __iter__(self):
return self
def _handle_string_chunk(self, str_line: str) -> GenericStreamingChunk:
def _handle_string_chunk(
self, str_line: str
) -> Union[GenericStreamingChunk, ModelResponseStream]:
# chunk is a str at this point
if "[DONE]" in str_line:
return GenericStreamingChunk(