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55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
# coding: utf-8
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# Copyright (c) 2025 inclusionAI.
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import os
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from aworld.config.conf import AgentConfig
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from aworld.agents.llm_agent import Agent
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from aworld.runner import Runners
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import json
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if __name__ == "__main__":
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agent_config = AgentConfig(
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llm_provider=os.getenv("LLM_PROVIDER", "openai"),
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llm_model_name=os.getenv("LLM_MODEL_NAME"),
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llm_base_url=os.getenv("LLM_BASE_URL"),
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llm_api_key=os.getenv("LLM_API_KEY"),
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llm_temperature=os.getenv("LLM_TEMPERATURE", 0.0)
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)
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# Register the MCP tool here, or create a separate configuration file.
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mcp_config = {
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"mcpServers": {
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"GorillaFileSystem": {
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"type": "stdio",
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"command": "python",
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"args": ["mcp_tools/gorilla_file_system.py"],
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}
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}
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}
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file_sys_prompt = "You are a helpful agent to use the standard file system to perform file operations."
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file_sys = Agent(
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conf=agent_config,
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name="file_sys_agent",
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system_prompt=file_sys_prompt,
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mcp_servers=mcp_config.get("mcpServers", []).keys(),
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mcp_config=mcp_config,
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)
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# run
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result = Runners.sync_run(
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input=(
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"use mcp tools in the GorillaFileSystem server to perform file operations: "
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"write the content 'AWorld' into the hello_world.py file with a new line "
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"and keep the original content of the file. Make sure the new and old "
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"content are all in the file; and display the content of the file"
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),
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agent=file_sys,
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)
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print("=" * 100)
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print(f"result.answer: {result.answer}")
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print("=" * 100)
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print(f"result.trajectory: {json.dumps(result.trajectory[0], indent=4)}")
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