agent-framework

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Evan Mattson b46fe1c82e Python: Preserve workflow run kwargs when continuing with run(responses=...) (#4296 )

* fix(python): preserve workflow run kwargs on response continuation (#4293)

When continuing a paused workflow with run(responses=...), the existing
run kwargs stored in state were unconditionally overwritten with an empty
dict. This caused subsequent agent invocations to lose the original run
context (e.g., custom_data, user tokens).

Now kwargs are only overwritten when:
- New kwargs are explicitly provided (override), or
- State was just cleared for a fresh run (initialize to {})

On continuation without new kwargs, existing kwargs are preserved.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #4293

- Use consistent get_state(key, {}) default pattern in _agent_executor.py
  and _workflow_executor.py instead of get_state(key) or {} to safely
  handle missing WORKFLOW_RUN_KWARGS_KEY
- Add test for empty-value kwargs on continuation (custom_data={}) to
  verify the is-not-None boundary between overwrite and preserve
- Add test for reset_context=True with no kwargs to exercise the elif
  branch that initializes WORKFLOW_RUN_KWARGS_KEY to {}
- Add len assertion to override test for consistency
- Document kwargs-collapsing behavior at the public API call site

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

b46fe1c82e · 2026-02-26 20:57:04 +00:00

History

azure

Python: updated integration tests and guidance (#4181 )

2026-02-24 09:35:46 +00:00

core

Python: Fix response_format resolution in streaming finalizer (#4291 )

2026-02-26 18:28:14 +00:00

openai

Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207 )

2026-02-25 17:45:08 +00:00

workflow