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66 lines
2.0 KiB
Python
66 lines
2.0 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/retrieve_summary_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.retrieve_summary_assistant_agent import (
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RetrieveSummaryAssistantAgent,
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)
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from dbgpt.configs.model_config import ROOT_PATH
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async def summary_example_with_success():
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from dbgpt.model.proxy import OpenAILLMClient
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llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo-16k")
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context: AgentContext = AgentContext(conv_id="retrieve_summarize")
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agent_memory = AgentMemory()
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summarizer = (
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await RetrieveSummaryAssistantAgent()
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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 = UserProxyAgent(memory=agent_memory, agent_context=context)
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paths_urls = [
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os.path.join(ROOT_PATH, "examples/agents/example_files/Nuclear_power.pdf"),
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os.path.join(ROOT_PATH, "examples/agents/example_files/Taylor_Swift.pdf"),
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"https://en.wikipedia.org/wiki/Modern_Family",
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"https://en.wikipedia.org/wiki/Chernobyl_disaster",
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]
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await user_proxy.initiate_chat(
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recipient=summarizer,
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reviewer=user_proxy,
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message=f"I want to summarize advantages of Nuclear Power. You can refer the "
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f"following file paths and URLs: {paths_urls}",
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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("retrieve_summarize"))
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if __name__ == "__main__":
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asyncio.run(summary_example_with_success())
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print(
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"\033[92m=======================The Summary Assistant with Successful Results Ended==================\n\n\033[91m"
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)
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