"""Agents: single agents about CodeAssistantAgent? Examples: Execute the following command in the terminal: Set env params. .. code-block:: shell export OPENAI_API_KEY=sk-xx export OPENAI_API_BASE=https://xx:80/v1 run example. ..code-block:: shell python examples/agents/retrieve_summary_agent_dialogue_example.py """ import asyncio import os from dbgpt.agent.agents.agent import AgentContext from dbgpt.agent.agents.expand.retrieve_summary_assistant_agent import ( RetrieveSummaryAssistantAgent, ) from dbgpt.agent.agents.user_proxy_agent import UserProxyAgent from dbgpt.agent.memory.gpts_memory import GptsMemory from dbgpt.core.interface.llm import ModelMetadata def summary_example_with_success(): from dbgpt.model import OpenAILLMClient llm_client = OpenAILLMClient() context: AgentContext = AgentContext( conv_id="retrieve_summarize", llm_provider=llm_client ) context.llm_models = [ModelMetadata(model="gpt-3.5-turbo-16k")] default_memory = GptsMemory() summarizer = RetrieveSummaryAssistantAgent( memory=default_memory, agent_context=context ) user_proxy = UserProxyAgent(memory=default_memory, agent_context=context) asyncio.run( user_proxy.a_initiate_chat( recipient=summarizer, reviewer=user_proxy, message="""I want to summarize advantages of Nuclear Power. You can refer the following file pathes and URLs: ['/home/ubuntu/DB-GPT/examples/Nuclear_power.pdf', 'https://en.wikipedia.org/wiki/Modern_Family', '/home/ubuntu/DB-GPT/examples/Taylor_Swift.pdf', 'https://en.wikipedia.org/wiki/Chernobyl_disaster'] """, ) ) ## dbgpt-vis message infos print(asyncio.run(default_memory.one_plan_chat_competions("retrieve_summarize"))) if __name__ == "__main__": print( "\033[92m=======================Start The Summary Assistant with Successful Results==================\033[0m" ) summary_example_with_success() print( "\033[92m=======================The Summary Assistant with Successful Results Ended==================\n\n\033[91m" )