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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/parallelism/fan_out_fan_in_edges.py
+4 -4
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@@ -37,8 +37,8 @@ Show how to construct a parallel branch pattern in workflows. Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Familiarity with WorkflowBuilder, executors, edges, events, and streaming runs.
- Azure OpenAI access configured for FoundryChatClient. Log in with Azure CLI and set any required environment variables.
- Comfort reading AgentExecutorResponse.agent_response.text for assistant output aggregation.
"""
@@ -118,7 +118,7 @@ async def main() -> None:
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(),
),
instructions=(
@@ -132,7 +132,7 @@ async def main() -> None:
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(),
),
instructions=(
@@ -146,7 +146,7 @@ async def main() -> None:
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(),
),
instructions=(