StillMe system status accuracy#139
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This commit introduces detection for system status queries and integrates real-time telemetry from the RSS fetcher. It ensures that these queries are answered directly with accurate, up-to-date information rather than relying on potentially stale knowledge or hallucinated responses. Key changes include: - A new `SystemStatusDetector` to identify system status-related questions. - Early return in `query_router` for system status queries, bypassing LLM processing. - Injection of synthetic telemetry documents into RAG context for system status queries. - Updates to citation validation to enforce specific citation policies for system status answers. - Enhanced `RSSFetcher` to provide more detailed real-time statistics, including failing feed domains and errors. - Integration of RSS fetcher stats into the `SystemMonitor`. This ensures greater accuracy and reliability when users inquire about the system's operational status and learning sources. Co-authored-by: anh.nguyen.nk86 <anh.nguyen.nk86@gmail.com>
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Test Results (Python 3.12)55 tests ±0 42 ✅ ±0 17s ⏱️ -1s For more details on these failures and errors, see this check. Results for commit ee056b1. ± Comparison against base commit b85ade9. |
Test Results (Python 3.11)55 tests ±0 42 ✅ ±0 12s ⏱️ -1s For more details on these failures and errors, see this check. Results for commit ee056b1. ± Comparison against base commit b85ade9. |
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Ensures StillMe provides accurate, real-time system status and learning source information.
This PR implements a "3-layer defense" to prevent StillMe from "lying" about system health. It introduces an early-return handler for system status queries, injects real-time telemetry into the prompt and RAG context, and enforces strict citation validation to forbid
[general knowledge]for status answers, requiring[system telemetry]instead.