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96 lines
2.8 KiB
Python
96 lines
2.8 KiB
Python
"""Agents: auto plan agents example?
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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/awel_layout_agents_chat_examples.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 (
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AgentContext,
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AgentMemory,
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LLMConfig,
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UserProxyAgent,
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WrappedAWELLayoutManager,
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)
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from dbgpt.agent.expand.resources.search_tool import baidu_search
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from dbgpt.agent.expand.summary_assistant_agent import SummaryAssistantAgent
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from dbgpt.agent.expand.tool_assistant_agent import ToolAssistantAgent
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from dbgpt.agent.resource import ToolPack
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from dbgpt.util.tracer import initialize_tracer
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initialize_tracer("/tmp/agent_trace.jsonl", create_system_app=True)
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async def main():
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agent_memory = AgentMemory()
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agent_memory.gpts_memory.init(conv_id="test456")
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try:
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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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context: AgentContext = AgentContext(
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conv_id="test456", gpts_app_name="信息析助手"
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)
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tools = ToolPack([baidu_search])
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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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summarizer = (
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await SummaryAssistantAgent()
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.bind(context)
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.bind(agent_memory)
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.bind(LLMConfig(llm_client=llm_client))
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.build()
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)
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manager = (
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await WrappedAWELLayoutManager()
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.bind(context)
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.bind(agent_memory)
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.bind(LLMConfig(llm_client=llm_client))
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.build()
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)
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manager.hire([tool_engineer, summarizer])
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user_proxy = await UserProxyAgent().bind(context).bind(agent_memory).build()
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await user_proxy.initiate_chat(
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recipient=manager,
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reviewer=user_proxy,
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message="查询北京今天天气",
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# message="查询今天的最新热点财经新闻",
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# message="Find papers on gpt-4 in the past three weeks on arxiv, and organize their titles, authors, and links into a markdown table",
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# message="find papers on LLM applications from arxiv in the last month, create a markdown table of different domains.",
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)
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finally:
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agent_memory.gpts_memory.clear(conv_id="test456")
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if __name__ == "__main__":
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## dbgpt-vis message infos
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asyncio.run(main())
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