stemedb/ai-lookup/services/lens.md
jordan 3cfaa1e1d3 feat: Complete Phase 1 (The Spine) - storage foundation
Phase 1 delivers the complete durability and storage layer:

- WAL with crash recovery: Append-only journal with BLAKE3 checksums,
  fsync guarantees, and proper seek-to-EOF on reopen
- Storage engine: sled-backed KVStore with scan_prefix for range queries
- Content-addressed storage: H:{hash}, V:{hash}, E:{hash} key patterns
- Ingestor: Background worker tailing WAL, writing to KV with 8-byte
  aligned record headers for rkyv zero-copy deserialization
- Comprehensive tests: 31 tests covering crash recovery, round-trips,
  and multi-cycle durability

New crates: stemedb-wal, stemedb-storage, stemedb-ingest

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-31 14:15:34 -07:00

2.0 KiB

Lens

Last Updated: 2026-01-31 Confidence: High

Summary

A Lens resolves conflicting assertions into a deterministic answer at read time. Multiple truths coexist; the Lens chooses which to return.

Key Facts:

  • Stateless compute (no side effects)
  • Deterministic (same input = same output)
  • Fast (runs on every read, avoid allocations)
  • Pluggable (implement Lens trait)

File Pointer: crates/stemedb-lens/src/lib.rs (planned)

The Trait

pub trait Lens {
    fn resolve(&self, candidates: &[Assertion], context: &QueryContext) -> LensResult;
}

Standard Lenses

Lens Strategy Use Case
Recency Latest timestamp wins News, real-time
Consensus Highest vote count Democratic truth
Authority Weighted by agent reputation Expert truth
Skeptic Returns variance/conflict Finding controversy
EpochAware Filters superseded epochs first Paradigm-safe queries
Constraints Returns must_use/forbidden predicates Pre-flight checks

Lens::Constraints (Pre-Flight Check)

Special lens for agent safety. Returns rules, not facts.

GET /query?context=python_http&lens=constraints

-> Returns:
{
  "constraints": [
    { "must_use": "axios", "forbidden": "requests", "reason": "User correction" }
  ]
}

Origin: Solves the "Optimization Conflict" where agents forget corrections. Acts as a compiler error for agent intent.

See agile-agent-team.md for full explanation.

Query Flow

  1. Client: GET(Subject="Tesla", Predicate="Revenue", Lens="Consensus")
  2. Index lookup: SP:Tesla:Revenue -> [Hash1, Hash2, Hash3]
  3. Hydrate: Load assertions from hashes
  4. Resolve: ConsensusLens.resolve(assertions, context)
  5. Return: Single deterministic answer with confidence