Models with thinking/reasoning capabilities (DeepSeek-R1, MiniMax-M2.7,
QwQ, etc.) include <think>...</think> blocks in their response content.
These internal reasoning tokens leak into agent output and downstream
node inputs, corrupting the workflow.
Add _strip_thinking_tokens() classmethod to OpenAIProvider that filters
<think>...</think> blocks via regex. Applied in both:
- _deserialize_chat_response() (Message content)
- _append_chat_response_output() (timeline content)
The fix is zero-cost for models without thinking tokens (fast path
checks for '<think>' substring before regex).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add LoopTimerConfig with duration units support (seconds/minutes/hours)
- Implement LoopTimerNodeExecutor with standard and passthrough modes
- Register loop_timer node type in builtin_nodes.py
- Update documentation (execution_logic.md, YAML_FORMAT_QUICK_GUIDE.md)
- Add demo workflows for both modes
Closes: add-loop-timer change proposal
