fix(litellm-pgvector): vendor the source instead of a remote git build context

The server's Docker/BuildKit couldn't do a git-context build of a public github.com repo (fails with "could not read Username ... terminal prompts disabled" — an auth-shaped error for what should be an anonymous clone). Rather than debug that, vendor litellm-pgvector's small source tree directly (vendor/litellm-pgvector/, see VENDORED.md for provenance/update steps) and build from the local path. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-02 21:50:45 +02:00
parent b0e37b2f4c
commit 7247674a9f
13 changed files with 1270 additions and 4 deletions
@@ -0,0 +1,86 @@
+from typing import Optional, Dict, Any, List
+from pydantic import BaseModel
+from datetime import datetime
+
+
+class VectorStoreCreateRequest(BaseModel):
+    name: str
+    file_ids: Optional[List[str]] = None
+    expires_after: Optional[Dict[str, Any]] = None
+    chunking_strategy: Optional[Dict[str, Any]] = None
+    metadata: Optional[Dict[str, Any]] = None
+
+
+class VectorStoreResponse(BaseModel):
+    id: str
+    object: str = "vector_store"
+    created_at: int
+    name: str
+    usage_bytes: int
+    file_counts: Dict[str, int]
+    status: str
+    expires_after: Optional[Dict[str, Any]] = None
+    expires_at: Optional[int] = None
+    last_active_at: Optional[int] = None
+    metadata: Optional[Dict[str, Any]] = None
+
+
+class VectorStoreSearchRequest(BaseModel):
+    query: str
+    limit: Optional[int] = 20
+    filters: Optional[Dict[str, Any]] = None
+    return_metadata: Optional[bool] = True
+
+
+class ContentChunk(BaseModel):
+    type: str = "text"
+    text: str
+
+
+class SearchResult(BaseModel):
+    file_id: str
+    filename: str
+    score: float
+    attributes: Optional[Dict[str, Any]] = None
+    content: List[ContentChunk]
+
+
+class VectorStoreSearchResponse(BaseModel):
+    object: str = "vector_store.search_results.page"
+    search_query: str
+    data: List[SearchResult]
+    has_more: bool = False
+    next_page: Optional[str] = None
+
+
+class EmbeddingCreateRequest(BaseModel):
+    content: str
+    embedding: List[float]
+    metadata: Optional[Dict[str, Any]] = None
+
+
+class EmbeddingResponse(BaseModel):
+    id: str
+    object: str = "embedding"
+    vector_store_id: str
+    content: str
+    metadata: Optional[Dict[str, Any]] = None
+    created_at: int
+
+
+class EmbeddingBatchCreateRequest(BaseModel):
+    embeddings: List[EmbeddingCreateRequest]
+
+
+class EmbeddingBatchCreateResponse(BaseModel):
+    object: str = "embedding.batch"
+    data: List[EmbeddingResponse]
+    created: int
+
+
+class VectorStoreListResponse(BaseModel):
+    object: str = "list"
+    data: List[VectorStoreResponse]
+    first_id: Optional[str] = None
+    last_id: Optional[str] = None
+    has_more: bool = False