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Create app.py
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app.py
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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import httpx
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import os
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app = FastAPI(title="Ollama with MCP Tools")
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# CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Ollama API configuration
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OLLAMA_API_URL = "http://localhost:11434/api"
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# MCP Tools integration
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class MCPTools:
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@staticmethod
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async def process_with_mcp(prompt: str):
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# Example MCP tool integration
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# Replace with actual MCP tool implementation
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return {"status": "processed_with_mcp", "result": f"Processed: {prompt}"}
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# Ollama API client
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class OllamaClient:
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@staticmethod
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async def generate(prompt: str, model: str = "gemma3n:2b"):
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async with httpx.AsyncClient() as client:
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try:
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response = await client.post(
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f"{OLLAMA_API_URL}/generate",
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json={
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"model": model,
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"prompt": prompt,
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"stream": False
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},
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timeout=60.0
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)
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return response.json()
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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# API Endpoints
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@app.get("/")
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async def read_root():
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return {"status": "Ollama API with MCP Tools is running"}
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@app.post("/api/generate")
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async def generate_text(prompt: str, use_mcp: bool = False):
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if use_mcp:
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mcp_result = await MCPTools.process_with_mcp(prompt)
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return mcp_result
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ollama_response = await OllamaClient().generate(prompt)
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return {"response": ollama_response}
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# Health check endpoint
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@app.get("/health")
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async def health_check():
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try:
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async with httpx.AsyncClient() as client:
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response = await client.get(f"{OLLAMA_API_URL}/tags")
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return {"status": "healthy", "ollama_status": "running" if response.status_code == 200 else "error"}
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except Exception as e:
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return {"status": "error", "message": str(e)}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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