agent/agent-framework
2
0
Fork 0
mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Python: Fix samples (#4980)

Browse Source 
* 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
Download Patch File Download Diff File Expand all files Collapse all files
python/samples/03-workflows/_start-here/step2_agents_in_a_workflow.py
+2 -2
View File
@@ -24,7 +24,7 @@ how agents can be used in a workflow.
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 the deployment name of a model in your Foundry project.
- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
- Basic familiarity with WorkflowBuilder, edges, events, and streaming or non-streaming runs.
"""
@@ -35,7 +35,7 @@ async def main():
# Create the Azure chat client. AzureCliCredential uses your current az login.
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
writer_agent = Agent(
python/samples/03-workflows/_start-here/step3_streaming.py
+2 -2
View File
@@ -23,7 +23,7 @@ how agents can be used in a workflow.
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 the deployment name of a model in your Foundry project.
- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
- Basic familiarity with WorkflowBuilder, executors, edges, events, and streaming runs.
"""
@@ -34,7 +34,7 @@ async def main():
# Create the Azure chat client. AzureCliCredential uses your current az login.
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["FOUNDRY_MODEL"],
credential=AzureCliCredential(),
)
writer_agent = Agent(