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https://github.com/BerriAI/litellm.git
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9b0f871129
* feat(llm_passthrough_endpoints.py): support mistral passthrough Closes https://github.com/BerriAI/litellm/issues/9051 * feat(llm_passthrough_endpoints.py): initial commit for adding vllm passthrough route * feat(vllm/common_utils.py): add new vllm model info route make it possible to use vllm passthrough route via factory function * fix(llm_passthrough_endpoints.py): add all methods to vllm passthrough route * fix: fix linting error * fix: fix linting error * fix: fix ruff check * fix(proxy/_types.py): add new passthrough routes * docs(config_settings.md): add mistral env vars to docs
71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
from typing import List, Optional
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import httpx
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import litellm
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from litellm.llms.base_llm.base_utils import BaseLLMModelInfo
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from litellm.secret_managers.main import get_secret_str
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from litellm.types.llms.openai import AllMessageValues
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class XAIModelInfo(BaseLLMModelInfo):
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def validate_environment(
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self,
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headers: dict,
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model: str,
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messages: List[AllMessageValues],
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optional_params: dict,
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litellm_params: dict,
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api_key: Optional[str] = None,
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api_base: Optional[str] = None,
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) -> dict:
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if api_key is not None:
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headers["Authorization"] = f"Bearer {api_key}"
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# Ensure Content-Type is set to application/json
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if "content-type" not in headers and "Content-Type" not in headers:
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headers["Content-Type"] = "application/json"
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return headers
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@staticmethod
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def get_api_base(api_base: Optional[str] = None) -> Optional[str]:
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return api_base or get_secret_str("XAI_API_BASE") or "https://api.x.ai"
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@staticmethod
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def get_api_key(api_key: Optional[str] = None) -> Optional[str]:
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return api_key or get_secret_str("XAI_API_KEY")
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@staticmethod
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def get_base_model(model: str) -> Optional[str]:
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return model.replace("xai/", "")
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def get_models(
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self, api_key: Optional[str] = None, api_base: Optional[str] = None
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) -> List[str]:
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api_base = self.get_api_base(api_base)
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api_key = self.get_api_key(api_key)
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if api_base is None or api_key is None:
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raise ValueError(
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"XAI_API_BASE or XAI_API_KEY is not set. Please set the environment variable, to query XAI's `/models` endpoint."
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)
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response = litellm.module_level_client.get(
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url=f"{api_base}/v1/models",
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headers={"Authorization": f"Bearer {api_key}"},
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)
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try:
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response.raise_for_status()
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except httpx.HTTPStatusError:
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raise Exception(
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f"Failed to fetch models from XAI. Status code: {response.status_code}, Response: {response.text}"
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)
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models = response.json()["data"]
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litellm_model_names = []
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for model in models:
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stripped_model_name = model["id"]
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litellm_model_name = "xai/" + stripped_model_name
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litellm_model_names.append(litellm_model_name)
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return litellm_model_names
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