Merge remote-tracking branch 'origin/main'

README.md

@@ -1025,6 +1025,7 @@ Each server has its own specific configuration options:
 | --max-embed-tokens | 8192 | Maximum embedding token size |
 | --input-file | ./book.txt | Initial input file |
 | --log-level | INFO | Logging level |
+| --key | none | Access Key to protect the lightrag service |
 
 #### Ollama Server Options
 
@@ -1042,6 +1043,7 @@ Each server has its own specific configuration options:
 | --max-embed-tokens | 8192 | Maximum embedding token size |
 | --input-file | ./book.txt | Initial input file |
 | --log-level | INFO | Logging level |
+| --key | none | Access Key to protect the lightrag service |
 
 #### OpenAI Server Options
 
@@ -1056,6 +1058,7 @@ Each server has its own specific configuration options:
 | --max-embed-tokens | 8192 | Maximum embedding token size |
 | --input-dir | ./inputs | Input directory for documents |
 | --log-level | INFO | Logging level |
+| --key | none | Access Key to protect the lightrag service |
 
 #### OpenAI AZURE Server Options
 
@@ -1071,8 +1074,10 @@ Each server has its own specific configuration options:
 | --input-dir | ./inputs | Input directory for documents |
 | --enable-cache | True | Enable response cache |
 | --log-level | INFO | Logging level |
+| --key | none | Access Key to protect the lightrag service |
 
 
+For protecting the server using an authentication key, you can also use an environment variable named `LIGHTRAG_API_KEY`.
 ### Example Usage
 
 #### LoLLMs RAG Server
@@ -1083,6 +1088,10 @@ lollms-lightrag-server --model mistral-nemo --port 8080 --working-dir ./custom_r
 
 # Using specific models (ensure they are installed in your LoLLMs instance)
 lollms-lightrag-server --model mistral-nemo:latest --embedding-model bge-m3 --embedding-dim 1024
+
+# Using specific models and an authentication key
+lollms-lightrag-server --model mistral-nemo:latest --embedding-model bge-m3 --embedding-dim 1024 --key ky-mykey
+
 ```
 
 #### Ollama RAG Server

lightrag/api/azure_openai_lightrag_server.py

@@ -21,6 +21,12 @@
 import json
 from fastapi.responses import StreamingResponse
 
+from fastapi import Depends, Security
+from fastapi.security import APIKeyHeader
+from fastapi.middleware.cors import CORSMiddleware
+
+from starlette.status import HTTP_403_FORBIDDEN
+
 load_dotenv()
 
 AZURE_OPENAI_API_VERSION = os.getenv("AZURE_OPENAI_API_VERSION")
@@ -93,6 +99,13 @@ def parse_args():
         help="Logging level (default: INFO)",
     )
 
+    parser.add_argument(
+        "--key",
+        type=str,
+        help="API key for authentication. This protects lightrag server against unauthorized access",
+        default=None,
+    )
+
     return parser.parse_args()
 
 
@@ -155,6 +168,31 @@ class InsertResponse(BaseModel):
     document_count: int
 
 
+def get_api_key_dependency(api_key: Optional[str]):
+    if not api_key:
+        # If no API key is configured, return a dummy dependency that always succeeds
+        async def no_auth():
+            return None
+
+        return no_auth
+
+    # If API key is configured, use proper authentication
+    api_key_header = APIKeyHeader(name="X-API-Key", auto_error=False)
+
+    async def api_key_auth(api_key_header_value: str | None = Security(api_key_header)):
+        if not api_key_header_value:
+            raise HTTPException(
+                status_code=HTTP_403_FORBIDDEN, detail="API Key required"
+            )
+        if api_key_header_value != api_key:
+            raise HTTPException(
+                status_code=HTTP_403_FORBIDDEN, detail="Invalid API Key"
+            )
+        return api_key_header_value
+
+    return api_key_auth
+
+
 async def get_embedding_dim(embedding_model: str) -> int:
     """Get embedding dimensions for the specified model"""
     test_text = ["This is a test sentence."]
@@ -168,12 +206,32 @@ def create_app(args):
         format="%(levelname)s:%(message)s", level=getattr(logging, args.log_level)
     )
 
-    # Initialize FastAPI app
+    # Check if API key is provided either through env var or args
+    api_key = os.getenv("LIGHTRAG_API_KEY") or args.key
+
+    # Initialize FastAPI
     app = FastAPI(
         title="LightRAG API",
-        description="API for querying text using LightRAG with OpenAI integration",
+        description="API for querying text using LightRAG with separate storage and input directories"
+        + "(With authentication)"
+        if api_key
+        else "",
+        version="1.0.0",
+        openapi_tags=[{"name": "api"}],
     )
 
+    # Add CORS middleware
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
+    # Create the optional API key dependency
+    optional_api_key = get_api_key_dependency(api_key)
+
     # Create working directory if it doesn't exist
     Path(args.working_dir).mkdir(parents=True, exist_ok=True)
 
@@ -239,7 +297,7 @@ async def startup_event():
         except Exception as e:
             logging.error(f"Error during startup indexing: {str(e)}")
 
-    @app.post("/documents/scan")
+    @app.post("/documents/scan", dependencies=[Depends(optional_api_key)])
     async def scan_for_new_documents():
         """Manually trigger scanning for new documents"""
         try:
@@ -264,7 +322,7 @@ async def scan_for_new_documents():
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/resetcache")
+    @app.post("/resetcache", dependencies=[Depends(optional_api_key)])
     async def reset_cache():
         """Manually reset cache"""
         try:
@@ -276,7 +334,7 @@ async def reset_cache():
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/documents/upload")
+    @app.post("/documents/upload", dependencies=[Depends(optional_api_key)])
     async def upload_to_input_dir(file: UploadFile = File(...)):
         """Upload a file to the input directory"""
         try:
@@ -304,7 +362,9 @@ async def upload_to_input_dir(file: UploadFile = File(...)):
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/query", response_model=QueryResponse)
+    @app.post(
+        "/query", response_model=QueryResponse, dependencies=[Depends(optional_api_key)]
+    )
     async def query_text(request: QueryRequest):
         try:
             response = await rag.aquery(
@@ -319,7 +379,7 @@ async def query_text(request: QueryRequest):
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/query/stream")
+    @app.post("/query/stream", dependencies=[Depends(optional_api_key)])
     async def query_text_stream(request: QueryRequest):
         try:
             response = await rag.aquery(
@@ -345,7 +405,11 @@ async def stream_generator():
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/documents/text", response_model=InsertResponse)
+    @app.post(
+        "/documents/text",
+        response_model=InsertResponse,
+        dependencies=[Depends(optional_api_key)],
+    )
     async def insert_text(request: InsertTextRequest):
         try:
             await rag.ainsert(request.text)
@@ -357,7 +421,11 @@ async def insert_text(request: InsertTextRequest):
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/documents/file", response_model=InsertResponse)
+    @app.post(
+        "/documents/file",
+        response_model=InsertResponse,
+        dependencies=[Depends(optional_api_key)],
+    )
     async def insert_file(file: UploadFile = File(...), description: str = Form(None)):
         try:
             content = await file.read()
@@ -381,7 +449,11 @@ async def insert_file(file: UploadFile = File(...), description: str = Form(None
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.post("/documents/batch", response_model=InsertResponse)
+    @app.post(
+        "/documents/batch",
+        response_model=InsertResponse,
+        dependencies=[Depends(optional_api_key)],
+    )
     async def insert_batch(files: List[UploadFile] = File(...)):
         try:
             inserted_count = 0
@@ -411,7 +483,11 @@ async def insert_batch(files: List[UploadFile] = File(...)):
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.delete("/documents", response_model=InsertResponse)
+    @app.delete(
+        "/documents",
+        response_model=InsertResponse,
+        dependencies=[Depends(optional_api_key)],
+    )
     async def clear_documents():
         try:
             rag.text_chunks = []
@@ -425,7 +501,7 @@ async def clear_documents():
         except Exception as e:
             raise HTTPException(status_code=500, detail=str(e))
 
-    @app.get("/health")
+    @app.get("/health", dependencies=[Depends(optional_api_key)])
     async def get_status():
         """Get current system status"""
         return {