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Python: Adding support for nested workflows (#460)

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* Adding design documents and data flow descriptions for sub-workflows

* Updating docs.

* Sub-workflow implementation #1. Stuck because of singleton RequestInfoExecutor, going to make a change to remove that restrivtion.

* Removed the singleton restriction on RequestInfoExecutor so enable sub-workflows.

* Scenarios seem to be working.

* Sample improved.

* going to have intern add generic response wrappers.

* Wrapped responses working.

* Non-hardcoded routing is working.

* Sample showing external approved and not approved.

* Cleaning up.

* Updating some samples and user guide.

* Removing old design doc.

* Cleaning up.

* Adding python-package-setup.md back.

* Update python/packages/workflow/agent_framework_workflow/_executor.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/workflow/agent_framework_workflow/_validation.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Removing prints.

* Fixing lint and type issues.

* Fixing lint and type issues.

* Update python/packages/workflow/agent_framework_workflow/_executor.py

Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>

* Adding type hints to intercepts decorator.

* Removing unused files.

* Fixing issue with sample 5 groupchat with hil.

* Removing redundent samples.

* Updates to ensure no conflicting request interceptors and to support a subflow with multiple requests in a single super step.

* Fixing pypi errors.

* clean up samples

* update samples to make it more clear

* warning for unhandled request info from sub workflow

* add logger info

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
This commit is contained in:
Ben Thomas
2025-08-22 20:21:37 -07:00
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docs/design/python-package-setup.md
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@@ -319,4 +319,4 @@ We should consider auto-instrumentation and provide an implementation of it to t
### Build and release
The build step will be done in GHA, adding the package to the release and then we call into Azure DevOps to use the ESRP pipeline to publish to pypi. This is how SK already works, we will just have to adapt it to the new package structure.
For now we will stick to semantic versioning, and all preview release will be tagged as such.
For now we will stick to semantic versioning, and all preview release will be tagged as such.