Removes hardcoded Claude-only Model enum. Pricing constants now read
from _blocks/registries/models.toml at startup; provider/model lookup
goes through a typed Registry returned by registry.rs.
New API surface:
- Registry::load(dir) → (providers, models, profiles)
- pick(profile_id, &Registry) → Result<(provider_id, model_id)>
- cost_micro_cents(model_id, in, out, &Registry) → Option<u64>
- next_model(model_id, &Registry) → Option<&Model> (ascending cost,
same provider, skip deprecated)
Files:
- registry_types.rs new 107 LOC (Provider/Model/Profile structs)
- registry.rs new 152 LOC (TOML load + lookups)
- pricing.rs rew 127 LOC (registry-backed, no constants)
- escalate.rs rew 181 LOC (registry-backed ladder + skip deprecated)
- select.rs rew 131 LOC
- select_kernel.rs new 74 LOC (Constructor-Pattern split)
- select_posterior.rs new 178 LOC (Constructor-Pattern split)
- posterior.rs rew 197 LOC
- calibrate.rs rew 175 LOC
- lib.rs rew 53 LOC
- main.rs rew 163 LOC (CLI updated to new API)
- Cargo.toml dep added toml 0.8
Verification (orchestrator-side, RULE 0.13 §Verify-before-commit):
- cargo check → clean
- cargo test --release → 58 passed / 0 failed / 0 ignored
- LOC limit (Constructor) → max 197 / limit 200
- largest fn cmd_select → ~27 LOC / limit 30
DNA-INDEX.md regenerated by kei-registry hook (primitive count
144 → 150 reflects the 6 new/split modules).
=== STATUS-TRUTH MARKER ===
shipped: functional
stubs: 0
cargo-check: PASS
behaviour-verified: yes
follow-up-required:
- select.rs `estimated_cost` still embeds inline cost constants
mirroring models.toml; if non-Anthropic providers need dynamic
pricing in select-time estimation, thread Registry through.
- External callers of old `cost_micro_cents(Model, ...)` signature
will break — intentional, no external callers in this workspace.
74 lines
2.3 KiB
Rust
74 lines
2.3 KiB
Rust
//! Kernel-smoothed posterior fallback for the empirical selector.
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//!
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//! When a task-class has no direct ledger entries, borrows posterior mass
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//! from neighbouring task-classes weighted by DNA similarity.
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//!
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//! Constructor Pattern: SQL cube — separated from select.rs to keep both files <200 LOC.
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use crate::kernel::{self, KernelWeights};
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use crate::posterior::Posterior;
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use crate::pricing::Model;
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use rusqlite::{Connection, Result as SqlResult};
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const QUERY: &str = "SELECT task_class_dna,
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SUM(CASE WHEN outcome = 'functional'
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AND COALESCE(escalation_depth, 0) = 0
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THEN 1 ELSE 0 END) AS np,
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SUM(CASE WHEN outcome IS NOT NULL
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AND NOT (outcome = 'functional'
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AND COALESCE(escalation_depth, 0) = 0)
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THEN 1 ELSE 0 END) AS nm
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FROM agents
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WHERE task_class_dna IS NOT NULL
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AND task_class_dna != ?1
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AND model = ?2
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GROUP BY task_class_dna";
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/// Weighted-sum posterior borrowing from neighbour task-classes.
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///
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/// Returns a Beta posterior with `alpha`/`beta` inflated by kernel similarity.
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/// Starts from a uniform prior (alpha=1, beta=1) and accumulates evidence.
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pub fn smooth(
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conn: &Connection,
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target_task_class: &str,
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model: Model,
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weights: KernelWeights,
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) -> SqlResult<Posterior> {
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let mut stmt = conn.prepare(QUERY)?;
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let rows = stmt.query_map(
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rusqlite::params![target_task_class, model.slug()],
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|r| {
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Ok((
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r.get::<_, String>(0)?,
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r.get::<_, Option<i64>>(1)?.unwrap_or(0),
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r.get::<_, Option<i64>>(2)?.unwrap_or(0),
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))
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},
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)?;
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accumulate_weighted(rows, target_task_class, weights)
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}
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fn accumulate_weighted(
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rows: impl Iterator<Item = rusqlite::Result<(String, i64, i64)>>,
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target: &str,
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weights: KernelWeights,
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) -> SqlResult<Posterior> {
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let mut alpha = 1.0_f64;
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let mut beta = 1.0_f64;
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let mut n = 0_u32;
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for row in rows {
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let (other_tc, np, nm) = row?;
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let sim = kernel::similarity(target, &other_tc, weights);
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if sim <= 0.0 {
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continue;
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}
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alpha += sim * np as f64;
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beta += sim * nm as f64;
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n = n.saturating_add((np + nm) as u32);
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}
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Ok(Posterior { alpha, beta, n })
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}
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