chore: import upstream snapshot with attribution

examples/client/client_chat_example.py

@@ -0,0 +1,76 @@
+"""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)
+    try:
+        data = await client.chat(model="Qwen2.5-72B-Instruct", messages="hello")
+        print(data)
+    finally:
+        # explicitly close client to avoid event loop closed error
+        await client.aclose()
+    # async for data in client.chat_stream(
+    #     model="chatgpt_proxyllm",
+    #     messages="hello",
+    # ):
+
+    # res = await client.chat(model="chatgpt_proxyllm" ,messages="hello")
+    # print(res)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())