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59 lines
1.8 KiB
Python
59 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 OPENAI_API_KEY=sk-xx
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export OPENAI_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/single_agent_dialogue_example.py
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"""
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import asyncio
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from dbgpt.agent import (
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AgentContext,
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AgentMemory,
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AgentMemoryFragment,
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HybridMemory,
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LLMConfig,
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UserProxyAgent,
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)
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from dbgpt.agent.expand.code_assistant_agent import CodeAssistantAgent
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async def main():
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from dbgpt.model.proxy import OpenAILLMClient
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llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
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context: AgentContext = AgentContext(conv_id="test123")
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agent_memory = AgentMemory(HybridMemory[AgentMemoryFragment].from_chroma())
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coder = (
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await CodeAssistantAgent()
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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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.build()
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)
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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=coder,
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reviewer=user_proxy,
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message="计算下321 * 123等于多少", # 用python代码的方式计算下321 * 123等于多少
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# message="download data from https://raw.githubusercontent.com/uwdata/draco/master/data/cars.csv and plot a visualization that tells us about the relationship between weight and horsepower. Save the plot to a file. Print the fields in a dataset before visualizing it.",
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)
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## dbgpt-vis message infos
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print(await agent_memory.gpts_memory.one_chat_completions("test123"))
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if __name__ == "__main__":
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asyncio.run(main())
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