Files
DB-GPT/examples/agents/sql_agent_dialogue_example.py
明天 d5afa6e206 Native data AI application framework based on AWEL+AGENT (#1152)
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>
2024-02-07 17:43:27 +08:00

76 lines
2.1 KiB
Python

"""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/single_agent_dialogue_example.py
"""
import asyncio
import os
from dbgpt.agent.agents.agent import AgentContext
from dbgpt.agent.agents.expand.data_scientist_agent import DataScientistAgent
from dbgpt.agent.agents.llm.llm import LLMConfig
from dbgpt.agent.agents.user_proxy_agent import UserProxyAgent
from dbgpt.agent.memory.gpts_memory import GptsMemory
from dbgpt.agent.resource.resource_api import AgentResource, ResourceType
from dbgpt.agent.resource.resource_db_api import SqliteLoadClient
from dbgpt.agent.resource.resource_loader import ResourceLoader
current_dir = os.getcwd()
parent_dir = os.path.dirname(current_dir)
test_plugin_dir = os.path.join(parent_dir, "test_files")
async def main():
from dbgpt.model.proxy.llms.chatgpt import OpenAILLMClient
llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
context: AgentContext = AgentContext(conv_id="test456")
default_memory: GptsMemory = GptsMemory()
db_resource = AgentResource(
type=ResourceType.DB,
name="TestData",
value=f"{test_plugin_dir}/dbgpt.db",
)
resource_loader = ResourceLoader()
sqlite_file_loader = SqliteLoadClient()
resource_loader.register_resesource_api(sqlite_file_loader)
user_proxy = await UserProxyAgent().bind(default_memory).bind(context).build()
sql_boy = (
await DataScientistAgent()
.bind(context)
.bind(LLMConfig(llm_client=llm_client))
.bind(default_memory)
.bind([db_resource])
.bind(resource_loader)
.build()
)
await user_proxy.a_initiate_chat(
recipient=sql_boy,
reviewer=user_proxy,
message="当前库有那些表",
)
## dbgpt-vis message infos
print(await default_memory.one_chat_competions("test456"))
if __name__ == "__main__":
asyncio.run(main())