mirror of
https://github.com/csunny/DB-GPT.git
synced 2025-09-29 13:34:14 +00:00
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
"""Agents: auto plan agents example?
|
|
|
|
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/auto_plan_agent_dialogue_example.py
|
|
"""
|
|
|
|
|
|
import asyncio
|
|
import os
|
|
|
|
from dbgpt.agent.agents.agent import AgentContext
|
|
from dbgpt.agent.agents.expand.code_assistant_agent import CodeAssistantAgent
|
|
from dbgpt.agent.agents.user_proxy_agent import UserProxyAgent
|
|
from dbgpt.agent.memory.gpts_memory import GptsMemory
|
|
from dbgpt.core.interface.llm import ModelMetadata
|
|
from dbgpt.serve.agent.team.plan.team_auto_plan import AutoPlanChatManager
|
|
|
|
if __name__ == "__main__":
|
|
from dbgpt.model.proxy import OpenAILLMClient
|
|
|
|
llm_client = OpenAILLMClient()
|
|
context: AgentContext = AgentContext(conv_id="test456", llm_provider=llm_client)
|
|
context.llm_models = [ModelMetadata(model="gpt-3.5-turbo")]
|
|
# context.llm_models = [ModelMetadata(model="gpt-4-vision-preview")]
|
|
context.gpts_name = "代码分析助手"
|
|
|
|
default_memory = GptsMemory()
|
|
coder = CodeAssistantAgent(memory=default_memory, agent_context=context)
|
|
## TODO add other agent
|
|
|
|
manager = AutoPlanChatManager(
|
|
agent_context=context,
|
|
memory=default_memory,
|
|
)
|
|
manager.hire([coder])
|
|
|
|
user_proxy = UserProxyAgent(memory=default_memory, agent_context=context)
|
|
|
|
asyncio.run(
|
|
user_proxy.a_initiate_chat(
|
|
recipient=manager,
|
|
reviewer=user_proxy,
|
|
message="Obtain simple information about issues in the repository 'eosphoros-ai/DB-GPT' in the past three days and analyze the data. Create a Markdown table grouped by day and status.",
|
|
# message="Find papers on gpt-4 in the past three weeks on arxiv, and organize their titles, authors, and links into a markdown table",
|
|
# message="find papers on LLM applications from arxiv in the last month, create a markdown table of different domains.",
|
|
)
|
|
)
|
|
|
|
## dbgpt-vis message infos
|
|
print(asyncio.run(default_memory.one_plan_chat_competions("test456")))
|