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Python: Fix samples (#4980)

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* First samples 1st batch

* Fix sample paths

* Fix workflow samples

* Fix workflow dependency

* Correct env vars

* Increase idle timeout

* Fix workflows HIL sample

* Fix more workflow samples
This commit is contained in:
Tao Chen
2026-03-31 08:20:35 -07:00
committed by GitHub
Unverified
parent 0f81c277d9
commit 016daf3b98
69 changed files with 234 additions and 306 deletions
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python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py
+7 -9
View File
@@ -44,7 +44,7 @@ Demonstrates:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for FoundryChatClient with required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity. Run `az login` before executing.
"""
@@ -78,11 +78,7 @@ class Coordinator(Executor):
# Writer agent response; request human feedback.
# Preserve the full conversation so that the final editor has context.
conversation: list[Message]
if draft.full_conversation is not None:
conversation = list(draft.full_conversation)
else:
conversation = list(draft.agent_response.messages)
conversation = list(draft.full_conversation)
prompt = (
"Review the draft from the writer and provide a short directional note "
@@ -172,18 +168,20 @@ async def main() -> None:
writer_agent = Agent(
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
name="writer_agent",
instructions=("You are a marketing writer."),
tool_choice="required",
default_options={
"tool_choice": "required",
},
)
final_editor_agent = Agent(
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
name="final_editor_agent",
python/samples/03-workflows/human-in-the-loop/agents_with_approval_requests.py
+2 -2
View File
@@ -53,7 +53,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure AI Agent Service configured, along with the required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
- Basic familiarity with WorkflowBuilder, edges, events, request_info events (type='request_info'), and streaming runs.
"""
@@ -228,7 +228,7 @@ async def main() -> None:
email_writer_agent = Agent(
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
name="EmailWriter",
python/samples/03-workflows/human-in-the-loop/agents_with_declaration_only_tools.py
+1 -1
View File
@@ -53,7 +53,7 @@ get_user_location = FunctionTool(
async def main() -> None:
_client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
agent = Agent(
python/samples/03-workflows/human-in-the-loop/concurrent_request_info.py
+2 -2
View File
@@ -18,7 +18,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for FoundryChatClient with required environment variables
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity (run az login before executing)
"""
@@ -151,7 +151,7 @@ async def main() -> None:
global _chat_client
_chat_client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
python/samples/03-workflows/human-in-the-loop/group_chat_request_info.py
+2 -2
View File
@@ -19,7 +19,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for FoundryChatClient with required environment variables
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity (run az login before executing)
"""
@@ -99,7 +99,7 @@ async def process_event_stream(stream: AsyncIterable[WorkflowEvent]) -> dict[str
async def main() -> None:
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py
+2 -2
View File
@@ -44,7 +44,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for FoundryChatClient with required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
- Basic familiarity with WorkflowBuilder, executors, edges, events, and streaming runs.
"""
@@ -200,7 +200,7 @@ async def main() -> None:
guessing_agent = Agent(
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
name="GuessingAgent",
python/samples/03-workflows/human-in-the-loop/sequential_request_info.py
+2 -2
View File
@@ -18,7 +18,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for FoundryChatClient with required environment variables
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Authentication via azure-identity (run az login before executing)
"""
@@ -96,7 +96,7 @@ async def process_event_stream(stream: AsyncIterable[WorkflowEvent]) -> dict[str
async def main() -> None:
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)