wtclaude
06917d43e2
Turns the design doc into an ordered, dependency-correct build plan (phases 0-9) with an exit criterion per phase, and records the twelve architectural decisions it rests on as ADRs. Decisions: single Rust binary with routed compose services; Streamable HTTP only; per-agent bearer tokens with clientInfo as a display hint only; SQLite; get_rules delivered via session gating; full-document rule delivery; project_id from day one; enforcement tier scoped to Bridle-mediated actions; stable tool list on upstream failure; OpenAI-compatible embeddings with model/dim guarding; pattern RAG gated behind a spike; CLAUDE.md + AGENTS.md as v1 renderer targets. Deviates from the design doc's original 1-8 ordering by moving the audit log and multi-project schema into phase 1, building the admin API incrementally rather than all at the Web Panel phase, downgrading vendor guardrail sourcing to manual-first, and gating the pattern-example RAG behind a validation spike. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019RZerbsHGF9Ka3bKhCjJ9m
30 lines
1.4 KiB
Markdown
30 lines
1.4 KiB
Markdown
# ADR-0010: Generic OpenAI-compatible embeddings with model/dimension guarding
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**Status:** Accepted (2026-08-08)
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## Context
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The design doc specified embeddings generated locally via LM Studio on an RTX 3060. Hard-coding
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that makes the entire memory subsystem depend on one service and one GPU box being up. Separately,
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the choice of embedding model **pins the vector dimensionality** of a Qdrant collection — changing
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models silently corrupts a collection or forces a full reindex, and neither should happen by
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accident.
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## Decision
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Target a **generic OpenAI-compatible embeddings endpoint**, configured by `EMBEDDING_URL`,
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`EMBEDDING_MODEL`, and `EMBEDDING_DIM`. LM Studio, Ollama, and text-embeddings-inference all
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satisfy this.
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Record `{model, dim, created_at}` in each Qdrant collection's metadata. On any write, compare the
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configured model and dimension against the collection's recorded values; on mismatch, **refuse the
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write** and flag that a reindex is required.
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## Consequences
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- The 3060 is no longer a hard single point of failure; users may point at whatever they run.
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- Changing embedding models becomes a loud, explicit reindex rather than silent corruption.
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- Slightly more configuration surface than hard-coding LM Studio.
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- Bundling a small CPU embedding container as a compose profile default remains available later to
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improve the out-of-box experience for new adopters.
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