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Python: Add samples syntax checking with pyright (#3710)

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* Add samples syntax checking with pyright

- Add pyrightconfig.samples.json with relaxed type checking but import validation
- Add samples-syntax poe task to check samples for syntax and import errors
- Add samples-syntax to check and pre-commit-check tasks
- Fix 78 sample errors:
  - Update workflow builder imports to use agent_framework_orchestrations
  - Change content type isinstance checks to content.type comparisons
  - Use Content factory methods instead of removed content type classes
  - Fix TypedDict access patterns for Annotation
  - Fix various API mismatches (normalize_messages, ChatMessage.text, role)

* fixed a bunch of samples and tweaks to pre-commit

* updated lock

* updated lock

* fixes

* added lint to samples
This commit is contained in:
Eduard van Valkenburg
2026-02-07 08:10:47 +01:00
committed by GitHub
Unverified
parent 74ac470a56
commit 390f93344c
83 changed files with 606 additions and 498 deletions
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python/samples/getting_started/workflows/control-flow/sequential_streaming.py
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@@ -14,7 +14,7 @@ The second reverses the text and yields the workflow output. Events are printed
Purpose:
Show how to declare executors with the @executor decorator, connect them with WorkflowBuilder,
pass intermediate values using ctx.send_message, and yield final output using ctx.yield_output().
Demonstrate how streaming exposes executor_invoked events (type='executor_invoked') and
Demonstrate how streaming exposes executor_invoked events (type='executor_invoked') and
executor_completed events (type='executor_completed') for observability.
Prerequisites:
python/samples/getting_started/workflows/human-in-the-loop/agents_with_HITL.py
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@@ -28,7 +28,7 @@ Pipeline layout:
writer_agent -> Coordinator -> writer_agent -> Coordinator -> final_editor_agent -> Coordinator -> output
The writer agent drafts marketing copy. A custom executor emits a request_info event (type='request_info') so a
human can comment, then relays the human guidance back into the conversation before the final editor agent
human can comment, then relays the human guidance back into the conversation before the final editor agent
produces the polished output.
Demonstrates:
python/samples/getting_started/workflows/tool-approval/group_chat_builder_tool_approval.py
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@@ -43,7 +43,9 @@ Prerequisites:
# 1. Define tools for different agents
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
# NOTE: approval_mode="never_require" is for sample brevity.
# Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py
# and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
@tool(approval_mode="never_require")
def run_tests(test_suite: Annotated[str, "Name of the test suite to run"]) -> str:
"""Run automated tests for the application."""