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Python: Remove duplicate samples (#3899)

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* Remove duplicate samples

* Correct paths

* Update readme

* Update readme

* Fix ruff

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
This commit is contained in:
Tao Chen
2026-02-12 15:46:41 -08:00
committed by GitHub
Unverified
parent 1441fd903c
commit e064f943ae
25 changed files with 173 additions and 2772 deletions
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python/packages/core/README.md
+1 -1
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@@ -213,7 +213,7 @@ if __name__ == "__main__":
asyncio.run(main())
```
**Note**: Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations are available. See examples in [orchestration samples](../../samples/02-agents/orchestrations).
**Note**: Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations are available. See examples in [orchestration samples](../../samples/03-workflows/orchestrations).
## More Examples & Samples
python/packages/devui/agent_framework_devui/ui/assets/index.js
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File diff suppressed because one or more lines are too long
python/packages/devui/frontend/src/data/gallery/sample-entities.ts
+4 -4
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@@ -30,7 +30,7 @@ export const SAMPLE_ENTITIES: SampleEntity[] = [
description:
"Weather agent using Azure AI Agent (Foundry) with Azure CLI authentication",
type: "agent",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/getting_started/devui/foundry_agent/agent.py",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/02-agents/devui/foundry_agent/agent.py",
tags: ["azure-ai", "foundry", "tools"],
author: "Microsoft",
difficulty: "beginner",
@@ -61,7 +61,7 @@ export const SAMPLE_ENTITIES: SampleEntity[] = [
description:
"Weather agent using Azure OpenAI with API key authentication",
type: "agent",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/getting_started/devui/weather_agent_azure/agent.py",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/02-agents/devui/weather_agent_azure/agent.py",
tags: ["azure", "openai", "tools"],
author: "Microsoft",
difficulty: "beginner",
@@ -99,7 +99,7 @@ export const SAMPLE_ENTITIES: SampleEntity[] = [
description:
"5-step workflow demonstrating email spam detection with branching logic",
type: "workflow",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/getting_started/devui/spam_workflow/workflow.py",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/02-agents/devui/spam_workflow/workflow.py",
tags: ["workflow", "branching", "multi-step"],
author: "Microsoft",
difficulty: "beginner",
@@ -117,7 +117,7 @@ export const SAMPLE_ENTITIES: SampleEntity[] = [
description:
"Advanced data processing workflow with parallel validation, transformation, and quality assurance stages",
type: "workflow",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/getting_started/devui/fanout_workflow/workflow.py",
url: "https://raw.githubusercontent.com/microsoft/agent-framework/main/python/samples/02-agents/devui/fanout_workflow/workflow.py",
tags: ["workflow", "fan-out", "fan-in", "parallel"],
author: "Microsoft",
difficulty: "advanced",
python/packages/lab/gaia/agent_framework_lab_gaia/gaia.py
+2 -2
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@@ -186,7 +186,7 @@ def gaia_scorer(model_answer: str, ground_truth: str) -> bool:
if is_float(ground_truth):
# numeric exact match after normalization
return _normalize_number_str(model_answer) == float(ground_truth)
return abs(_normalize_number_str(model_answer) - float(ground_truth)) < 1e-6
if any(ch in ground_truth for ch in [",", ";"]):
# list with per-element compare (number or string)
gt_elems = _split_string(ground_truth)
@@ -196,7 +196,7 @@ def gaia_scorer(model_answer: str, ground_truth: str) -> bool:
comparisons = []
for ma, gt in zip(ma_elems, gt_elems, strict=False):
if is_float(gt):
comparisons.append(_normalize_number_str(ma) == float(gt))
comparisons.append(abs(_normalize_number_str(ma) - float(gt)) < 1e-6)
else:
comparisons.append(_normalize_str(ma, remove_punct=False) == _normalize_str(gt, remove_punct=False))
return all(comparisons)