Python: Align AG-UI workflow cache scoping

[moonbox3]

Motivation & Context

Keep workflow-factory instance selection aligned with configured Snapshot Scope.

Description & Review Guide

• What are the major changes? Apply the resolved scope to the in-memory workflow cache without requiring snapshot persistence.
• What is the impact of these changes? Configured scopes partition live workflow instances; defaults are unchanged.
• What do you want reviewers to focus on? Scope propagation and cache reuse coverage.

Related Issue

N/A

Contribution Checklist

• The code builds clean without any errors or warnings
• All unit tests pass, and I have added new tests where possible
• The PR follows the Contribution Guidelines
• This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
• This is not a breaking change. If it is a breaking change, add the breaking change label (or add "[BREAKING]" to the title prefix, before or after a language prefix) — a workflow keeps the label and title prefix in sync automatically.

[Copilot]

Pull request overview

This PR aligns AG-UI workflow-factory instance caching with the configured Snapshot Scope by propagating the resolved scope into workflow runs even when snapshot persistence is not configured. This ensures that multi-tenant/multi-user deployments don’t accidentally share live in-memory Workflow instances when threadId collides across scopes.

Changes:

• Always pass the resolved Snapshot Scope into the run payload when snapshot_scope_resolver is provided, even without a snapshot store, so AgentFrameworkWorkflow(workflow_factory=...) caches are correctly partitioned.
• Add a regression test validating scope-partitioned workflow-factory caching without snapshot persistence.
• Update docs/comments to clarify that Snapshot Scope is the authorization/cache boundary for both snapshots and live workflow instances.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.

File	Description
python/packages/ag-ui/agent_framework_ag_ui/_endpoint.py	Propagates resolved snapshot scope into input_data whenever a resolver is provided, enabling scoped workflow caching without snapshot persistence.
python/packages/ag-ui/agent_framework_ag_ui/_workflow.py	Clarifies that Snapshot Scope is the boundary for both snapshots and in-memory workflow-factory instances.
python/packages/ag-ui/tests/ag_ui/test_endpoint.py	Adds coverage ensuring workflow-factory instances are cached per resolved scope even with no snapshot store.
python/packages/ag-ui/README.md	Documents that snapshot_scope_resolver also scopes the in-memory workflow cache for workflow factories in multi-user deployments.

[github-actions]

Automated Code Review

Reviewers: 5 | Confidence: 92% | Result: All clear

Reviewed: Correctness, Security Reliability, Test Coverage, Failure Modes, Design Approach

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Automated review by moonbox3's agents

[github-actions]

Python Test Coverage Report •

File	Stmts	Miss	Cover	Missing
packages/ag-ui/agent_framework_ag_ui
_endpoint.py	119	4	96%	63, 198, 230–231
_workflow.py	204	16	92%	64, 127, 132, 171, 210–211, 294, 337, 339, 341–343, 345, 363–365
TOTAL	45257	4451	90%

Python Unit Test Overview

Tests	Skipped	Failures	Errors	Time
9369	33 💤	0 ❌	0 🔥	2m 35s ⏱️

[github-actions]

Automated Code Review

Reviewers: 5 | Confidence: 92% | Result: All clear

Reviewed: Correctness, Security Reliability, Test Coverage, Failure Modes, Design Approach

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Automated review by moonbox3's agents