DB-GPT/examples/agents/plugin_agent_dialogue_example.py
Fangyin Cheng e4b329ee21
refactor(v0.7.0): restructure modules and config handling (#2358)
Co-authored-by: aries_ckt <916701291@qq.com>
2025-02-21 19:54:53 +08:00

69 lines
1.8 KiB
Python

"""Agents: single agents about CodeAssistantAgent?
Examples:
Execute the following command in the terminal:
Set env params.
.. code-block:: shell
export SILICONFLOW_API_KEY=sk-xx
export SILICONFLOW_API_BASE=https://xx:80/v1
run example.
..code-block:: shell
python examples/agents/plugin_agent_dialogue_example.py
"""
import asyncio
import os
from dbgpt.agent import AgentContext, AgentMemory, LLMConfig, UserProxyAgent
from dbgpt.agent.expand.tool_assistant_agent import ToolAssistantAgent
from dbgpt.agent.resource import AutoGPTPluginToolPack
from dbgpt.configs.model_config import ROOT_PATH
test_plugin_dir = os.path.join(ROOT_PATH, "examples/test_files/plugins")
async def main():
from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
llm_client = SiliconFlowLLMClient(
model_alias=os.getenv(
"SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
),
)
agent_memory = AgentMemory()
agent_memory.gpts_memory.init(conv_id="test456")
context: AgentContext = AgentContext(
conv_id="test456", gpts_app_name="插件对话助手"
)
tools = AutoGPTPluginToolPack(test_plugin_dir)
user_proxy = await UserProxyAgent().bind(agent_memory).bind(context).build()
tool_engineer = (
await ToolAssistantAgent()
.bind(context)
.bind(LLMConfig(llm_client=llm_client))
.bind(agent_memory)
.bind(tools)
.build()
)
await user_proxy.initiate_chat(
recipient=tool_engineer,
reviewer=user_proxy,
message="查询今天成都的天气",
)
# dbgpt-vis message infos
print(await agent_memory.gpts_memory.app_link_chat_message("test456"))
if __name__ == "__main__":
asyncio.run(main())