Improve and reduct classifier runs#11
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Updated documentation
Add `enableOnNewSession` config option to control router activation behavior
Fix/exclude agents from npm package
… is just too much effort when developing and debugging.
…tra ',' at the end, the whole plugin failed silently. Now showing warning when configuration loading fails.
…tra ',' at the end, the whole plugin failed silently. Now showing warning when configuration loading fails.
…mprove image detection accuracy for recent messages instead of the whole session.
…tatus updates and fallback handling.
Image escalation improvements
Introduce a new `classifierModelThinking` configuration parameter that allows specifying reasoning levels for the classifier model. Include validation, fallback handling, and improved routing logic integration. Update documentation accordingly.
…king Add `classifierModelThinking` option to enhance routing flexibility
…ssifier prompt. It contains a list of all tools, skilles and AGENT.md's that are NOT necessary to determine the tier.
…ery turn, gate it behind three smart triggers:
- Fresh feedback (first N tool continuations after a user message, default: 1)
- Crisis (consecutive failed tool results ≥ threshold, default: 2)
- Cadence (every N tool continuations, default: 8)
- **Google lock**: Move Google thinking tool-continuation check before the classifier — preserves exact model during Google thinking chains to avoid thought-signature replay errors
- **Heuristic fix**: Both lookup and planning-phase heuristics now use turn-local tool counts (`countToolResultsSinceLastUserPrompt`) instead of session-wide counts, so a fresh user message is never permanently stuck above the `low` tier
- **New config fields**: `classifierInitialContinuations`, `classifierFailureTrigger`, `classifierCadence`
- **Debug logging**: Classifier gating shows `RUN classifier — <triggers>` or `SKIP classifier (cont:N, fail:N)` in debug mode
- **Docs**: Updated `README.md`, `ARCHITECTURE.md`, and `model-router.example.json`
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