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LiteLLM Minor Fixes & Improvements (2024/16/01) (#7826)
* fix(lm_studio/chat/transformation.py): Fix https://github.com/BerriAI/litellm/issues/7811 * fix(router.py): fix mock timeout check * fix: drop model name from fallback args since it causes a conflict with the model=model that is provided later on. (#7806) This error happens if you provide multiple fallback models to the completion function with model name defined in each one. * fix(router.py): remove mock_timeout before sending to request prevents reuse in fallbacks * test: update test * test: revert test change - wrong pr --------- Co-authored-by: Dudu Lasry <david1542@users.noreply.github.com>
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7 changed files with 40 additions and 9 deletions
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@ -40,7 +40,7 @@ async def async_completion_with_fallbacks(**kwargs):
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# Handle dictionary fallback configurations
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if isinstance(fallback, dict):
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model = fallback.get("model", original_model)
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model = fallback.pop("model", original_model)
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completion_kwargs.update(fallback)
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else:
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model = fallback
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@ -384,6 +384,7 @@ def _get_openai_compatible_provider_info( # noqa: PLR0915
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dynamic_api_key: Optional[str]
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api_base: Optional[str]
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"""
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custom_llm_provider = model.split("/", 1)[0]
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model = model.split("/", 1)[1]
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@ -358,6 +358,7 @@ class OpenAIChatCompletion(BaseLLM):
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organization=organization,
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)
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else:
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_new_client = OpenAI(
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api_key=api_key,
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base_url=api_base,
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@ -1,5 +1,13 @@
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model_list:
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- model_name: bedrock/us.anthropic.claude-3-haiku-20240307-v1:0
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- model_name: openai-gpt-4o
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litellm_params:
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model: bedrock/us.anthropic.claude-3-haiku-20240307-v1:0
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model: openai/my-fake-openai-endpoint
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api_key: sk-1234
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api_base: https://exampleopenaiendpoint-production.up.railway.app
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- model_name: openai-o1
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litellm_params:
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model: openai/o1
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api_key: sk-1234
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api_base: https://exampleopenaiendpoint-production.up.railway.app
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mock_timeout: true
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timeout: 3
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@ -810,6 +810,7 @@ class Router:
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kwargs["messages"] = messages
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kwargs["stream"] = stream
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kwargs["original_function"] = self._acompletion
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self._update_kwargs_before_fallbacks(model=model, kwargs=kwargs)
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request_priority = kwargs.get("priority") or self.default_priority
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start_time = time.time()
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@ -891,8 +892,8 @@ class Router:
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deployment=deployment, parent_otel_span=parent_otel_span
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)
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self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs)
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data = deployment["litellm_params"].copy()
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model_name = data["model"]
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model_client = self._get_async_openai_model_client(
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@ -2790,9 +2791,12 @@ class Router:
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content_policy_fallbacks=content_policy_fallbacks,
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)
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if mock_timeout is not None:
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response = await self.async_function_with_retries(
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*args, **kwargs, mock_timeout=mock_timeout
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)
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else:
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response = await self.async_function_with_retries(*args, **kwargs)
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verbose_router_logger.debug(f"Async Response: {response}")
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return response
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except Exception as e:
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@ -1756,6 +1756,23 @@ async def test_openai_compatible_custom_api_base(provider):
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assert "hello" in mock_call.call_args.kwargs["extra_body"]
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def test_lm_studio_completion(monkeypatch):
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monkeypatch.delenv("LM_STUDIO_API_KEY", raising=False)
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monkeypatch.delenv("OPENAI_API_KEY", raising=False)
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try:
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completion(
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model="lm_studio/typhoon2-quen2.5-7b-instruct",
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messages=[
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{"role": "user", "content": "What's the weather like in San Francisco?"}
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],
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api_base="https://exampleopenaiendpoint-production.up.railway.app/",
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)
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except litellm.AuthenticationError as e:
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pytest.fail(f"Error occurred: {e}")
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except litellm.APIError as e:
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print(e)
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@pytest.mark.asyncio
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async def test_litellm_gateway_from_sdk():
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litellm.set_verbose = True
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