mirror of
https://github.com/BerriAI/litellm.git
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0865e52db3
* fix(proxy_server.py): get master key from environment, if not set in general settings or general settings not set at all * test: mark flaky test * test(test_proxy_server.py): mock prisma client * ci: add new github workflow for testing just the mock tests * fix: fix linting error * ci(conftest.py): add conftest.py to isolate proxy tests * build(pyproject.toml): add respx to dev dependencies * build(pyproject.toml): add prisma to dev dependencies * test: fix mock prompt management tests to use a mock anthropic key * ci(test-litellm.yml): parallelize mock testing make it run faster * build(pyproject.toml): add hypercorn as dev dep * build(pyproject.toml): separate proxy vs. core dev dependencies make it easier for non-proxy contributors to run tests locally - e.g. no need to install hypercorn * ci(test-litellm.yml): pin python version * test(test_rerank.py): move test - cannot be mocked, requires aws credentials for e2e testing * ci: add thank you message to ci * test: add mock env var to test * test: add autouse to tests * test: test mock env vars for e2e tests
51 lines
1.8 KiB
Python
51 lines
1.8 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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class XAIModelInfo(BaseLLMModelInfo):
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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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