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app.py

@@ -1,18 +1,8 @@
-from fastapi import FastAPI, HTTPException
-from fastapi.middleware.cors import CORSMiddleware
+from fastapi import FastAPI
 from pydantic import BaseModel
 from datetime import datetime
 
-app = FastAPI(title="AI Model Runner - Simple", version="1.0.0")
-
-# Enable CORS
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
+app = FastAPI()
 
 class AgenticRequest(BaseModel):
     task: str
@@ -21,87 +11,25 @@ class AgenticRequest(BaseModel):
 @app.get("/")
 async def root():
     return {
-        "message": "AI Model Runner - Simple",
+        "message": "AI Model Runner",
         "version": "1.0.0",
         "status": "running",
-        "endpoints": ["/", "/health", "/models", "/agentic"]
+        "agentic_endpoint": "/agentic"
     }
 
 @app.get("/health")
-async def health_check():
-    return {"status": "healthy", "timestamp": datetime.now().isoformat()}
-
-@app.get("/models")
-async def get_models():
-    return {
-        "models": [
-            {
-                "name": "agentic-model",
-                "status": "loaded", 
-                "description": "Agentic model with exceptional tool use and Interleaved Thinking"
-            }
-        ]
-    }
+async def health():
+    return {"status": "ok", "time": datetime.now().isoformat()}
 
 @app.post("/agentic")
-async def agentic_endpoint(request: AgenticRequest):
-    # Simulate Interleaved Thinking process
-    task_lower = request.task.lower()
-    reasoning_details = ""
-    tool_calls = []
-    content = ""
-    
-    if "search" in task_lower or "find" in task_lower:
-        reasoning_details = "I need to search for information to complete this task. Let me use the search_web tool."
-        tool_calls = [{
-            "id": f"call_{datetime.now().strftime('%Y%m%d_%H%M%S')}",
-            "function": {
-                "name": "search_web",
-                "arguments": f'{{"query": "{request.task}"}}'
-            }
-        }]
-        content = f"I've analyzed your task: '{request.task}'. I'm searching for relevant information."
-    elif "code" in task_lower:
-        reasoning_details = "This task requires code analysis. I need to analyze the code structure."
-        tool_calls = [{
-            "id": f"call_{datetime.now().strftime('%Y%m%d_%H%M%S')}",
-            "function": {
-                "name": "analyze_code",
-                "arguments": f'{{"code": "{request.context}", "task": "comprehensive_analysis"}}'
-            }
-        }]
-        content = f"Analyzing your code-related task: '{request.task}'."
-    elif "weather" in task_lower:
-        location = request.context or "current location"
-        reasoning_details = "This task requires weather information. I need to get current weather data."
-        tool_calls = [{
-            "id": f"call_{datetime.now().strftime('%Y%m%d_%H%M%S')}",
-            "function": {
-                "name": "get_weather",
-                "arguments": f'{{"location": "{location}"}}'
-            }
-        }]
-        content = f"Getting weather information for: '{request.task}'."
-    elif any(char.isdigit() for char in task_lower) and ("+" in task_lower or "-" in task_lower or "*" in task_lower):
-        reasoning_details = "This is a mathematical computation task. I need to evaluate the expression."
-        tool_calls = [{
-            "id": f"call_{datetime.now().strftime('%Y%m%d_%H%M%S')}",
-            "function": {
-                "name": "math_calc",
-                "arguments": f'{{"expression": "{request.task}"}}'
-            }
-        }]
-        content = f"Processing mathematical task: '{request.task}'."
-    else:
-        reasoning_details = "This is a complex reasoning task requiring systematic analysis."
-        content = f"Working on your task: '{request.task}'. Applying systematic reasoning."
-    
+async def agentic(request: AgenticRequest):
     return {
-        "reasoning_details": reasoning_details,
-        "content": content,
-        "tool_calls": tool_calls,
-        "status": "success",
-        "thinking_process": "Interleaved thinking enabled - reasoning performed between tool interactions"
+        "task": request.task,
+        "context": request.context,
+        "reasoning": "Task analyzed successfully",
+        "tool_calls": [],
+        "content": f"Processed task: {request.task}",
+        "status": "success"
     }
 
 if __name__ == "__main__":