Create agent.py
Browse files
agent.py
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# Import smolagents
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from smolagents import ToolCallingAgent, ToolCollection, LiteLLMModel
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from mcp import StdioServerParameters
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# Specify agricultural-focused LLM
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model = LiteLLMModel(
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model_id="ollama_chat/qwen2.5:14b",
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num_ctx=8192
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)
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# Configure connection to crop optimization server
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server_parameters = StdioServerParameters(
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command="uv",
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args=["run", "server.py"],
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env=None,
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)
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# Initialize agent with crop optimization tools
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with ToolCollection.from_mcp(server_parameters, trust_remote_code=True) as tool_collection:
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agent = ToolCallingAgent(
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tools=[*tool_collection.tools],
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model=model,
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system_prompt="You are an agricultural AI assistant specialized in crop optimization."
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)
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# Example agricultural queries
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agent.run("What are the optimal growing conditions for cabbage?")
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agent.run("Predict green pepper yield in KZN region")
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agent.run("What pests commonly affect tomato crops?")
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agent.run("Recommend crops suitable for clay soil in tropical climates")
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