DB-GPT/examples/client/client_chat_example.py
Cooper 04703f2b3a
fix(storage): Fix storage connector error (#1547)
Co-authored-by: dong <dongzhancai@iie2.com>
Co-authored-by: Zhancai Dong <dongzhancai1@jd.com>
Co-authored-by: aries_ckt <916701291@qq.com>
2024-05-30 22:02:18 +08:00

73 lines
1.8 KiB
Python

"""Client: Simple Chat example.
This example demonstrates how to use the dbgpt client to chat with the chatgpt model.
Example:
.. code-block:: python
DBGPT_API_KEY = "dbgpt"
# chat with stream
client = Client(api_key=DBGPT_API_KEY)
# 1. chat normal
async for data in client.chat_stream(
model="chatgpt_proxyllm",
messages="hello",
):
print(data.dict())
# chat with no stream
res = await client.chat(model="chatgpt_proxyllm", messages="Hello?")
print(res.json())
# 2. chat with app
async for data in client.chat_stream(
model="chatgpt_proxyllm",
chat_mode="chat_app",
chat_param="${app_code}",
messages="hello",
):
print(data.dict())
# 3. chat with knowledge
async for data in client.chat_stream(
model="chatgpt_proxyllm",
chat_mode="chat_knowledge",
chat_param="${space_name}",
messages="hello",
):
print(data.dict())
# 4. chat with flow
async for data in client.chat_stream(
model="chatgpt_proxyllm",
chat_mode="chat_flow",
chat_param="${flow_id}",
messages="hello",
):
print(data.dict())
"""
import asyncio
from dbgpt.client import Client
async def main():
# initialize client
DBGPT_API_KEY = "dbgpt"
client = Client(api_key=DBGPT_API_KEY)
data = await client.chat(model="chatgpt_proxyllm", messages="hello")
# async for data in client.chat_stream(
# model="chatgpt_proxyllm",
# messages="hello",
# ):
print(data)
# res = await client.chat(model="chatgpt_proxyllm" ,messages="hello")
# print(res)
if __name__ == "__main__":
asyncio.run(main())