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69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
"""Agents: single agents about CodeAssistantAgent?
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Examples:
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Execute the following command in the terminal:
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Set env params.
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.. code-block:: shell
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export SILICONFLOW_API_KEY=sk-xx
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export SILICONFLOW_API_BASE=https://xx:80/v1
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run example.
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..code-block:: shell
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python examples/agents/plugin_agent_dialogue_example.py
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"""
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import asyncio
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import os
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from dbgpt.agent import AgentContext, AgentMemory, LLMConfig, UserProxyAgent
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from dbgpt.agent.expand.tool_assistant_agent import ToolAssistantAgent
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from dbgpt.agent.resource import AutoGPTPluginToolPack
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from dbgpt.configs.model_config import ROOT_PATH
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test_plugin_dir = os.path.join(ROOT_PATH, "examples/test_files/plugins")
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async def main():
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from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
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llm_client = SiliconFlowLLMClient(
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model_alias=os.getenv(
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"SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
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),
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)
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agent_memory = AgentMemory()
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agent_memory.gpts_memory.init(conv_id="test456")
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context: AgentContext = AgentContext(
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conv_id="test456", gpts_app_name="插件对话助手"
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)
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tools = AutoGPTPluginToolPack(test_plugin_dir)
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user_proxy = await UserProxyAgent().bind(agent_memory).bind(context).build()
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tool_engineer = (
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await ToolAssistantAgent()
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.bind(context)
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.bind(LLMConfig(llm_client=llm_client))
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.bind(agent_memory)
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.bind(tools)
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.build()
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)
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await user_proxy.initiate_chat(
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recipient=tool_engineer,
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reviewer=user_proxy,
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message="查询今天成都的天气",
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)
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# dbgpt-vis message infos
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print(await agent_memory.gpts_memory.app_link_chat_message("test456"))
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if __name__ == "__main__":
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asyncio.run(main())
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