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d5afa6e206
Co-authored-by: Fangyin Cheng <staneyffer@gmail.com> Co-authored-by: lcx01800250 <lcx01800250@alibaba-inc.com> Co-authored-by: licunxing <864255598@qq.com> Co-authored-by: Aralhi <xiaoping0501@gmail.com> Co-authored-by: xuyuan23 <643854343@qq.com> Co-authored-by: aries_ckt <916701291@qq.com> Co-authored-by: hzh97 <2976151305@qq.com>
78 lines
2.3 KiB
Python
78 lines
2.3 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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import os
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from dbgpt.agent.actions.plugin_action import PluginAction
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from dbgpt.agent.agents.agent import AgentContext
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from dbgpt.agent.agents.expand.plugin_assistant_agent import PluginAssistantAgent
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from dbgpt.agent.agents.llm.llm import LLMConfig
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from dbgpt.agent.agents.user_proxy_agent import UserProxyAgent
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from dbgpt.agent.memory.gpts_memory import GptsMemory
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from dbgpt.agent.resource.resource_api import AgentResource, ResourceType
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from dbgpt.agent.resource.resource_loader import ResourceLoader
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from dbgpt.agent.resource.resource_plugin_api import PluginFileLoadClient
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from dbgpt.core.interface.llm import ModelMetadata
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current_dir = os.getcwd()
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parent_dir = os.path.dirname(current_dir)
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test_plugin_dir = os.path.join(parent_dir, "test_files/plugins")
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async def main():
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from dbgpt.model import OpenAILLMClient
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llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
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context: AgentContext = AgentContext(conv_id="test456")
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default_memory: GptsMemory = GptsMemory()
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plugin_resource = AgentResource(
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type=ResourceType.Plugin,
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name="test",
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value=test_plugin_dir,
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)
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resource_loader = ResourceLoader()
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plugin_file_loader = PluginFileLoadClient()
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resource_loader.register_resesource_api(plugin_file_loader)
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user_proxy = await UserProxyAgent().bind(default_memory).bind(context).build()
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tool_enginer = (
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await PluginAssistantAgent()
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.bind(context)
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.bind(LLMConfig(llm_client=llm_client))
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.bind(default_memory)
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.bind([plugin_resource])
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.bind(resource_loader)
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.build()
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)
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await user_proxy.a_initiate_chat(
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recipient=tool_enginer,
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reviewer=user_proxy,
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message="查询今天成都的天气",
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)
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## dbgpt-vis message infos
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print(await default_memory.one_chat_competions("test456"))
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if __name__ == "__main__":
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asyncio.run(main())
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