Python: Fix samples (#4980)

* 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
@@ -46,7 +46,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- OpenAI or Azure OpenAI configured with the required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Basic familiarity with ConcurrentBuilder and streaming workflow events.
"""
@@ -136,7 +136,7 @@ async def main() -> None:
# 3. Create two agents focused on different stocks but with the same tool sets
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
@@ -45,7 +45,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- OpenAI or Azure OpenAI configured with the required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Basic familiarity with GroupChatBuilder and streaming workflow events.
"""
@@ -136,7 +136,7 @@ async def main() -> None:
# 3. Create specialized agents
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
@@ -46,7 +46,7 @@ Demonstrate:
Prerequisites:
- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- OpenAI or Azure OpenAI configured with the required environment variables.
- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
- Basic familiarity with SequentialBuilder and streaming workflow events.
"""
@@ -109,7 +109,7 @@ async def main() -> None:
# 2. Create the agent with tools (approval mode is set per-tool via decorator)
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
database_agent = Agent(