Remove the LLM-based standingInstructions and availableSkills extraction
pipeline. Instead, cache the main agent's full system prompt on the first
llm_input and pass it as-is to the guardian as "Agent context".
This eliminates two async LLM calls per session, simplifies the codebase
(~340 lines removed), and gives the guardian MORE context (the complete
system prompt including tool definitions, memory, and skills) rather than
a lossy LLM-extracted summary.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Recommend instruction-following models (sonnet, haiku, gpt-4o-mini) and
warn against coding-specific models that tend to ignore the strict
ALLOW/BLOCK output format.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Replace Enable/Config sections with Quick start (bundled plugin, no npm install)
- Show all default values in config example
- Add "When a tool call is blocked" section explaining user flow
- Remove Model selection section
- Fix dead anchor link
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add rolling conversation summary generation to provide long-term context without token waste
- Extract standing instructions and available skills from system prompt for better decision context
- Support thinking block extraction for reasoning model responses (e.g. kimi-coding)
- Add config options for context tools, recent turns, and tool result length
- Implement lazy context extraction with live message array reference
- Skip guardian review for system triggers (heartbeat, cron)
- Improve error handling for abort race conditions and timeout scenarios
- Normalize headers in model-auth to handle secret inputs consistently
- Update documentation with comprehensive usage guide and security model
ShengtongZhu