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82 lines
2.0 KiB
Python
82 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/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 import (
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AgentContext,
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AgentMemory,
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AgentResource,
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LLMConfig,
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ResourceLoader,
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ResourceType,
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UserProxyAgent,
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)
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from dbgpt.agent.expand.data_scientist_agent import DataScientistAgent
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from dbgpt.agent.resource import SqliteLoadClient
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from dbgpt.util.tracer import initialize_tracer
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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")
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initialize_tracer("/tmp/agent_trace.jsonl", create_system_app=True)
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async def main():
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from dbgpt.model.proxy.llms.chatgpt import OpenAILLMClient
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agent_memory = AgentMemory()
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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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db_resource = AgentResource(
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type=ResourceType.DB,
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name="TestData",
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value=f"{test_plugin_dir}/dbgpt.db",
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)
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resource_loader = ResourceLoader()
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sqlite_file_loader = SqliteLoadClient()
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resource_loader.register_resource_api(sqlite_file_loader)
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user_proxy = await UserProxyAgent().bind(agent_memory).bind(context).build()
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sql_boy = (
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await DataScientistAgent()
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.bind(context)
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.bind(LLMConfig(llm_client=llm_client))
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.bind([db_resource])
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.bind(resource_loader)
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.bind(agent_memory)
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.build()
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)
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await user_proxy.initiate_chat(
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recipient=sql_boy,
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reviewer=user_proxy,
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message="当前库有那些表",
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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("test456"))
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if __name__ == "__main__":
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asyncio.run(main())
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