支持fastapi服务

api/routers/llm.py

@@ -0,0 +1,48 @@
+"""
+LLM (Large Language Model) endpoints
+"""
+
+from fastapi import APIRouter, HTTPException
+from loguru import logger
+
+from api.dependencies import ReelForgeDep
+from api.schemas.llm import LLMChatRequest, LLMChatResponse
+
+router = APIRouter(prefix="/llm", tags=["LLM"])
+
+
+@router.post("/chat", response_model=LLMChatResponse)
+async def llm_chat(
+    request: LLMChatRequest,
+    reelforge: ReelForgeDep
+):
+    """
+    LLM chat endpoint
+    
+    Generate text response using configured LLM.
+    
+    - **prompt**: User prompt/question
+    - **temperature**: Creativity level (0.0-2.0, lower = more deterministic)
+    - **max_tokens**: Maximum response length
+    
+    Returns generated text response.
+    """
+    try:
+        logger.info(f"LLM chat request: {request.prompt[:50]}...")
+        
+        # Call LLM service
+        response = await reelforge.llm(
+            prompt=request.prompt,
+            temperature=request.temperature,
+            max_tokens=request.max_tokens
+        )
+        
+        return LLMChatResponse(
+            content=response,
+            tokens_used=None  # Can add token counting if needed
+        )
+        
+    except Exception as e:
+        logger.error(f"LLM chat error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+