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Auto-inject relevant memory facts into LLM context on every user turn.
Semantic search against the vector memory store runs in parallel with context provider collection. Number of injected facts scales with message length (1–3) to reduce noise on short queries. Guardrails: min length gate, per-turn deduplication, and structured logging at info level for observability. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| navi/core/agent.py |
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| navi/core/context_builder.py |
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