feat: Add query mode 'bypass' to bypass knowledge retrieval and directly use LLM

lightrag/api/routers/query_routes.py

@@ -22,7 +22,7 @@ class QueryRequest(BaseModel):
         description="The query text",
     )
 
-    mode: Literal["local", "global", "hybrid", "naive", "mix"] = Field(
+    mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = Field(
         default="hybrid",
         description="Query mode",
     )

lightrag/base.py

@@ -36,7 +36,7 @@ T = TypeVar("T")
 class QueryParam:
     """Configuration parameters for query execution in LightRAG."""
 
-    mode: Literal["local", "global", "hybrid", "naive", "mix"] = "global"
+    mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = "global"
     """Specifies the retrieval mode:
     - "local": Focuses on context-dependent information.
     - "global": Utilizes global knowledge.

lightrag/lightrag.py

@@ -1381,6 +1381,14 @@ class LightRAG:
                 hashing_kv=self.llm_response_cache,  # Directly use llm_response_cache
                 system_prompt=system_prompt,
             )
+        elif param.mode == "bypass":
+            # Bypass mode: directly use LLM without knowledge retrieval
+            use_llm_func = param.model_func or global_config["llm_model_func"]
+            response = await use_llm_func(
+                query.strip(),
+                system_prompt=system_prompt,
+                history_messages=param.conversation_history,
+            )
         else:
             raise ValueError(f"Unknown mode {param.mode}")
         await self._query_done()