支持fastapi服务

api/schemas/llm.py

@@ -0,0 +1,31 @@
+"""
+LLM API schemas
+"""
+
+from typing import Optional
+from pydantic import BaseModel, Field
+
+
+class LLMChatRequest(BaseModel):
+    """LLM chat request"""
+    prompt: str = Field(..., description="User prompt")
+    temperature: float = Field(0.7, ge=0.0, le=2.0, description="Temperature (0.0-2.0)")
+    max_tokens: int = Field(2000, ge=1, le=32000, description="Maximum tokens")
+    
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "prompt": "Explain the concept of atomic habits in 3 sentences",
+                "temperature": 0.7,
+                "max_tokens": 2000
+            }
+        }
+
+
+class LLMChatResponse(BaseModel):
+    """LLM chat response"""
+    success: bool = True
+    message: str = "Success"
+    content: str = Field(..., description="Generated response")
+    tokens_used: Optional[int] = Field(None, description="Tokens used (if available)")
+