Python: add checkpointing support to AgentFrameworkWorkflow.run() in agent-framework-ag-ui

[vaibhav-patel]

Summary

Fixes #6632. Adds workflow checkpointing to the ag-ui adapter's
AgentFrameworkWorkflow.run(), bringing it to parity with the core
agent_framework.Workflow.run() checkpointing API.

run() now accepts two optional keyword arguments:

• checkpoint_storage: CheckpointStorage | None — enables checkpoint creation at each
  superstep (forwarded to the core workflow).
• checkpoint_id: str | None — resumes a run from a persisted checkpoint.

This delegates to the existing core capability rather than reinventing it, so the public
surface mirrors Workflow.run(checkpoint_storage=..., checkpoint_id=...).

Details

• Resume honors the core API contract: message is never passed alongside
  checkpoint_id; incoming messages are forwarded only as request-info responses
  (so responses + checkpoint_id is a restore-then-send).
• Params may also be supplied via the input_data keys __ag_ui_checkpoint_storage /
  __ag_ui_checkpoint_id, letting the FastAPI endpoint (which calls run(input_data)
  positionally) opt in without a signature change; explicit keyword args take precedence.
• Workflow checkpointing is independent from AG-UI thread-snapshot persistence; resume
  bypasses snapshot-hydration early-returns to reach the core restore path.

Backward compatibility

The existing run(RunAgentInput) / run(input_data) signature is preserved — the new
params are optional and default to None, and the non-checkpoint path still calls
run_workflow_stream(input_data, workflow) with its original two-argument convention.

Tests

New focused tests cover checkpoint creation, resume-from-checkpoint, input-data-keyed
params, and the unchanged default path. Full ag-ui suite green (824 passed); ruff
lint/format clean; no new pyright errors.

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[Copilot]

Pull request overview

This PR adds workflow checkpointing support to the agent-framework-ag-ui adapter so AgentFrameworkWorkflow.run() can create checkpoints and resume from a persisted checkpoint_id, mirroring the core agent_framework.Workflow.run() API.

Changes:

• Extended AgentFrameworkWorkflow.run() to accept checkpoint_storage / checkpoint_id (and optionally read them from input_data), ensuring checkpoint resumes bypass snapshot-only hydration paths.
• Updated run_workflow_stream() to forward checkpointing parameters to the core workflow and to avoid pre-run early-returns that would otherwise skip restores.
• Added focused tests covering checkpoint creation, resume, input-data-keyed params, and the unchanged default path.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
python/packages/ag-ui/agent_framework_ag_ui/_workflow.py	Adds checkpoint kwargs to AgentFrameworkWorkflow.run() and plumbs them through to the stream runner, while preserving existing snapshot behavior.
python/packages/ag-ui/agent_framework_ag_ui/_workflow_run.py	Extends run_workflow_stream() with checkpoint parameters and ensures checkpoint resumes reach workflow.run(checkpoint_id=...).
python/packages/ag-ui/tests/ag_ui/test_workflow_agent.py	Adds checkpointing tests for the AG-UI workflow wrapper.