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Eduard van Valkenburg
2026-01-14 06:54:07 +01:00
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parent 1ae0b09e42
commit d8cf8361bd
125 changed files with 1024 additions and 1027 deletions
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python/samples/getting_started/workflows/parallelism/fan_out_fan_in_edges.py
+3 -3
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@@ -36,7 +36,7 @@ Show how to construct a parallel branch pattern in workflows. Demonstrate:
Prerequisites:
- Familiarity with WorkflowBuilder, executors, edges, events, and streaming runs.
- Azure OpenAI access configured for AzureOpenAIChatClient. Log in with Azure CLI and set any required environment variables.
- Comfort reading AgentExecutorResponse.agent_run_response.text for assistant output aggregation.
- Comfort reading AgentExecutorResponse.agent_response.text for assistant output aggregation.
"""
@@ -67,8 +67,8 @@ class AggregateInsights(Executor):
# Map responses to text by executor id for a simple, predictable demo.
by_id: dict[str, str] = {}
for r in results:
# AgentExecutorResponse.agent_run_response.text is the assistant text produced by the agent.
by_id[r.executor_id] = r.agent_run_response.text
# AgentExecutorResponse.agent_response.text is the assistant text produced by the agent.
by_id[r.executor_id] = r.agent_response.text
research_text = by_id.get("researcher", "")
marketing_text = by_id.get("marketer", "")