知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
"""
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Managed file, object, and vector store table models.
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Canonical definitions for the ``litellm_managed*`` tables. Re-exported from
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``litellm.proxy._types`` for backwards compatibility.
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"""
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from datetime import datetime
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from typing import Any, Dict, List, Literal, Optional, Union
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from litellm.types.llms.base import LiteLLMPydanticObjectBase
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from litellm.types.llms.openai import OpenAIFileObject, ResponsesAPIResponse
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from litellm.types.utils import LiteLLMBatch, LiteLLMFineTuningJob
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class LiteLLM_ManagedFileTable(LiteLLMPydanticObjectBase):
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unified_file_id: str
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file_object: Optional[OpenAIFileObject] = None
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model_mappings: Dict[str, str]
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flat_model_file_ids: List[str]
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created_by: Optional[str] = None
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team_id: Optional[str] = None
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updated_by: Optional[str] = None
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storage_backend: Optional[str] = None
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storage_url: Optional[str] = None
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class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase):
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unified_object_id: str
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model_object_id: str
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file_purpose: Literal["batch", "fine-tune", "response", "container"]
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file_object: Union[LiteLLMBatch, LiteLLMFineTuningJob, ResponsesAPIResponse]
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created_by: Optional[str] = None
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team_id: Optional[str] = None
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class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase):
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"""Table for managing vector stores with target_model_names support."""
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unified_resource_id: str
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resource_object: Optional[Any] = None
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model_mappings: Dict[str, str]
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flat_model_resource_ids: List[str]
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created_by: Optional[str] = None
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team_id: Optional[str] = None
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updated_by: Optional[str] = None
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storage_backend: Optional[str] = None
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storage_url: Optional[str] = None
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class LiteLLM_ManagedVectorStoresTable(LiteLLMPydanticObjectBase):
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vector_store_id: str
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custom_llm_provider: str
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vector_store_name: Optional[str]
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vector_store_description: Optional[str]
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vector_store_metadata: Optional[Dict[str, Any]]
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created_at: Optional[datetime]
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updated_at: Optional[datetime]
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litellm_credential_name: Optional[str]
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litellm_params: Optional[Dict[str, Any]]
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team_id: Optional[str]
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user_id: Optional[str]
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