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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 15:20:35 +00:00
committed by GitHub
parent 0f81c277d9
commit 016daf3b98
69 changed files with 234 additions and 306 deletions
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python/samples/03-workflows/orchestrations/magentic_checkpoint.py
+4 -4
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@@ -40,7 +40,7 @@ Concepts highlighted here:
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.
"""
@@ -66,7 +66,7 @@ def build_workflow(checkpoint_storage: FileCheckpointStorage):
instructions=("You are the research lead. Gather crisp bullet points the team should know."),
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
)
@@ -77,7 +77,7 @@ def build_workflow(checkpoint_storage: FileCheckpointStorage):
instructions=("You convert the research notes into a structured brief with milestones and risks."),
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
)
@@ -89,7 +89,7 @@ def build_workflow(checkpoint_storage: FileCheckpointStorage):
instructions="You coordinate a team to complete complex tasks efficiently.",
client=FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
),
)