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Python: Fix samples discovered by auto validation pipeline (#4355)

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* Fix samples discovered by auto validation pipeline

* Update python/samples/02-agents/devui/in_memory_mode.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Tao Chen
2026-03-02 08:24:20 -08:00
committed by GitHub
Unverified
parent c4f643a750
commit 7d374f00bb
4 changed files with 24 additions and 11 deletions
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.github/workflows/python-sample-validation.yml
+3 -3
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@@ -65,7 +65,7 @@ jobs:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
# Observability
@@ -227,7 +227,7 @@ jobs:
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
defaults:
@@ -268,7 +268,7 @@ jobs:
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }}
# Copilot Studio
agent-samples/openai/OpenAIResponses.yaml
+1 -1
View File
@@ -11,7 +11,7 @@ model:
topP: 0.95
connection:
kind: key
apiKey: =Env.OPENAI_APIKEY
apiKey: =Env.OPENAI_API_KEY
outputSchema:
properties:
language:
python/samples/02-agents/chat_client/custom_chat_client.py
+4 -2
View File
@@ -94,7 +94,9 @@ class EchoingChatClient(BaseChatClient[OptionsT]):
response_text = f"{response_text} {suffix}"
stream_delay_seconds = float(options.get("stream_delay_seconds", 0.05))
response_message = Message(role="assistant", contents=[Content.from_text(response_text)])
response_message = Message(
role="assistant", contents=[Content.from_text(response_text)]
)
response = ChatResponse(
messages=[response_message],
@@ -146,7 +148,7 @@ async def main() -> None:
# Use the chat client directly
print("Using chat client directly:")
direct_response = await echo_client.get_response(
"Hello, custom chat client!",
[Message(role="user", text="Hello, custom chat client!")],
options={
"uppercase": True,
"suffix": "(CUSTOM OPTIONS)",
python/samples/02-agents/devui/in_memory_mode.py
+16 -5
View File
@@ -10,7 +10,14 @@ import logging
import os
from typing import Annotated
from agent_framework import Agent, Executor, WorkflowBuilder, WorkflowContext, handler, tool
from agent_framework import (
Agent,
Executor,
WorkflowBuilder,
WorkflowContext,
handler,
tool,
)
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.devui import serve
from dotenv import load_dotenv
@@ -30,7 +37,9 @@ def get_weather(
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
temperature = 53
return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
return (
f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
)
@tool(approval_mode="never_require")
@@ -59,7 +68,9 @@ class AddExclamation(Executor):
"""Add exclamation mark to text."""
@handler
async def add_exclamation(self, text: str, ctx: WorkflowContext[Never, str]) -> None:
async def add_exclamation(
self, text: str, ctx: WorkflowContext[Never, str]
) -> None:
"""Add exclamation and yield as workflow output."""
result = f"{text}!"
await ctx.yield_output(result)
@@ -74,9 +85,9 @@ def main():
# Create Azure OpenAI chat client
client = AzureOpenAIChatClient(
api_key=os.environ.get("AZURE_OPENAI_API_KEY"),
azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"),
deployment_name=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"],
endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"),
api_version=os.environ.get("AZURE_OPENAI_API_VERSION", "2024-10-21"),
model_id=os.environ.get("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", "gpt-4o"),
)
# Create agents