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Python: Update sample validation scripts (#4870)

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* Update sample validation scripts

* Adjust prompt

* Update autogen-migration samples

* Add fix suggestion

* Split jobs

* Add .env

* Create trend report

* Add timestamp

* Add more env vars

* Comments

* force node24

* force node24

* force node22
This commit is contained in:
Tao Chen
2026-03-24 18:21:32 -07:00
committed by GitHub
Unverified
parent 2c000b032d
commit 4b533608b6
19 changed files with 928 additions and 202 deletions
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python/samples/02-agents/chat_client/built_in_chat_clients.py
+9 -7
View File
@@ -5,7 +5,7 @@ import os
from random import randint
from typing import Annotated, Any, Literal
from agent_framework import SupportsChatGetResponse, tool
from agent_framework import Message, SupportsChatGetResponse, tool
from agent_framework.azure import (
AzureAIAgentClient,
AzureOpenAIAssistantsClient,
@@ -117,35 +117,37 @@ async def main(client_name: ClientName = "openai_chat") -> None:
client = get_client(client_name)
# 1. Configure prompt and streaming mode.
message = "What's the weather in Amsterdam and in Paris?"
message = Message("user", text="What's the weather in Amsterdam and in Paris?")
stream = os.getenv("STREAM", "false").lower() == "true"
print(f"Client: {client_name}")
print(f"User: {message}")
print(f"User: {message.text}")
# 2. Run with context-managed clients.
if isinstance(client, OpenAIAssistantsClient | AzureOpenAIAssistantsClient | AzureAIAgentClient):
async with client:
if stream:
response_stream = client.get_response(message, stream=True, options={"tools": get_weather})
response_stream = client.get_response([message], stream=True, options={"tools": get_weather})
print("Assistant: ", end="")
async for chunk in response_stream:
if chunk.text:
print(chunk.text, end="")
print("")
else:
print(f"Assistant: {await client.get_response(message, stream=False, options={'tools': get_weather})}")
print(
f"Assistant: {await client.get_response([message], stream=False, options={'tools': get_weather})}"
)
return
# 3. Run with non-context-managed clients.
if stream:
response_stream = client.get_response(message, stream=True, options={"tools": get_weather})
response_stream = client.get_response([message], stream=True, options={"tools": get_weather})
print("Assistant: ", end="")
async for chunk in response_stream:
if chunk.text:
print(chunk.text, end="")
print("")
else:
print(f"Assistant: {await client.get_response(message, stream=False, options={'tools': get_weather})}")
print(f"Assistant: {await client.get_response([message], stream=False, options={'tools': get_weather})}")
if __name__ == "__main__":