test(01-02): add unit tests for scoring functions and taskMetadata passthrough
- Add scoreModel, computeTaskRequirements, scoreEligibleModels, getEligibleModels describe blocks to model-router.test.ts (27 new tests) - Add ClassificationResult taskMetadata describe block to complexity-classifier.test.ts (4 new tests: execute-task populated, hook undefined, plan-slice undefined, extractTaskMetadata export) - Add getModelTier unknown-default tests verifying standard tier (not heavy) per D-15 - All 42 model-router tests pass, all 32 complexity-classifier tests pass - All 36 pre-existing capability-router tests continue to pass
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Jeremy
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2 changed files with 270 additions and 3 deletions
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@ -1,7 +1,7 @@
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import test from "node:test";
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import test, { describe } from "node:test";
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import assert from "node:assert/strict";
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import { classifyUnitComplexity, tierLabel, tierOrdinal } from "../complexity-classifier.js";
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import { classifyUnitComplexity, tierLabel, tierOrdinal, extractTaskMetadata } from "../complexity-classifier.js";
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import type { ComplexityTier, TaskMetadata } from "../complexity-classifier.js";
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// ─── tierLabel ───────────────────────────────────────────────────────────────
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@ -179,3 +179,28 @@ test("execute-task with few code blocks stays standard", () => {
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const result = classifyUnitComplexity("execute-task", "M001/S01/T01", "/tmp/fake", undefined, metadata);
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assert.equal(result.tier, "standard");
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});
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// ─── ClassificationResult taskMetadata passthrough ───────────────────────────
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describe("ClassificationResult taskMetadata", () => {
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test("classifyUnitComplexity for execute-task returns result with taskMetadata populated", () => {
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const metadata: TaskMetadata = { fileCount: 3, tags: ["docs"] };
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const result = classifyUnitComplexity("execute-task", "M001/S01/T01", "/tmp/fake", undefined, metadata);
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assert.ok(result.taskMetadata !== undefined, "taskMetadata should be populated for execute-task");
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assert.equal(result.taskMetadata!.tags?.[0], "docs");
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});
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test("classifyUnitComplexity for hook/xyz returns result with taskMetadata undefined", () => {
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const result = classifyUnitComplexity("hook/verify", "M001/S01/T01", "/tmp/fake");
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assert.equal(result.taskMetadata, undefined, "taskMetadata should be undefined for hook units");
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});
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test("classifyUnitComplexity for plan-slice returns result with taskMetadata undefined", () => {
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const result = classifyUnitComplexity("plan-slice", "M001/S01", "/tmp/fake");
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assert.equal(result.taskMetadata, undefined, "taskMetadata should be undefined for plan-slice");
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});
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test("extractTaskMetadata is importable as a named export and is a function", () => {
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assert.equal(typeof extractTaskMetadata, "function", "extractTaskMetadata should be a callable function");
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});
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});
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@ -1,4 +1,4 @@
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import test from "node:test";
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import test, { describe } from "node:test";
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import assert from "node:assert/strict";
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import {
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@ -7,6 +7,8 @@ import {
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defaultRoutingConfig,
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scoreModel,
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computeTaskRequirements,
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scoreEligibleModels,
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getEligibleModels,
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MODEL_CAPABILITY_PROFILES,
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} from "../model-router.js";
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import type { DynamicRoutingConfig, RoutingDecision, ModelCapabilities } from "../model-router.js";
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@ -356,3 +358,243 @@ test("#2885: heavy openai-codex model downgrades to light for light task", () =>
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// Should pick a light-tier model
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assert.notEqual(result.modelId, "gpt-5.4", "should not use the heavy model for light task");
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});
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// ─── scoreModel ──────────────────────────────────────────────────────────────
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describe("scoreModel", () => {
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const sonnetProfile: ModelCapabilities = MODEL_CAPABILITY_PROFILES["claude-sonnet-4-6"]!;
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test("produces correct weighted average for two dimensions (coding:0.9, instruction:0.7)", () => {
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// (0.9*85 + 0.7*85) / (0.9+0.7) = (76.5+59.5)/1.6 = 136/1.6 = 85.0
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const score = scoreModel(sonnetProfile, { coding: 0.9, instruction: 0.7 });
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assert.ok(Math.abs(score - 85.0) < 0.01, `Expected ~85.0, got ${score}`);
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});
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test("returns 50 when requirements is empty", () => {
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const score = scoreModel(sonnetProfile, {});
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assert.equal(score, 50);
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});
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test("returns correct score for single dimension coding:1.0", () => {
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// coding=90 for claude-opus-4-6
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const opusProfile = MODEL_CAPABILITY_PROFILES["claude-opus-4-6"]!;
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const score = scoreModel(opusProfile, { coding: 1.0 });
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assert.equal(score, 95);
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});
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test("handles all 7 dimensions correctly", () => {
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// Uniform weight 1.0 on every dim → average of all dim values
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const profile: ModelCapabilities = {
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coding: 60, debugging: 60, research: 60, reasoning: 60,
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speed: 60, longContext: 60, instruction: 60,
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};
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const reqs: Partial<Record<keyof ModelCapabilities, number>> = {
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coding: 1.0, debugging: 1.0, research: 1.0, reasoning: 1.0,
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speed: 1.0, longContext: 1.0, instruction: 1.0,
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};
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const score = scoreModel(profile, reqs);
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assert.equal(score, 60);
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});
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});
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// ─── computeTaskRequirements ─────────────────────────────────────────────────
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describe("computeTaskRequirements", () => {
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test("execute-task with no metadata returns base vector", () => {
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const req = computeTaskRequirements("execute-task", undefined);
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assert.deepStrictEqual(req, { coding: 0.9, instruction: 0.7, speed: 0.3 });
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});
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test("execute-task with tags:['docs'] adjusts requirements", () => {
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const req = computeTaskRequirements("execute-task", { tags: ["docs"] });
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assert.equal(req.instruction, 0.9);
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assert.equal(req.coding, 0.3);
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assert.equal(req.speed, 0.7);
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});
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test("execute-task with tags:['config'] adjusts requirements", () => {
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const req = computeTaskRequirements("execute-task", { tags: ["config"] });
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assert.equal(req.instruction, 0.9);
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});
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test("execute-task with complexityKeywords:['concurrency'] boosts debugging and reasoning", () => {
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const req = computeTaskRequirements("execute-task", { complexityKeywords: ["concurrency"] });
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assert.equal(req.debugging, 0.9);
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assert.equal(req.reasoning, 0.8);
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});
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test("execute-task with complexityKeywords:['migration'] boosts reasoning and coding", () => {
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const req = computeTaskRequirements("execute-task", { complexityKeywords: ["migration"] });
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assert.equal(req.reasoning, 0.9);
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assert.equal(req.coding, 0.8);
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});
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test("execute-task with fileCount:8 boosts coding and reasoning", () => {
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const req = computeTaskRequirements("execute-task", { fileCount: 8 });
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assert.equal(req.coding, 0.9);
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assert.equal(req.reasoning, 0.7);
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});
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test("execute-task with estimatedLines:600 boosts coding and reasoning", () => {
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const req = computeTaskRequirements("execute-task", { estimatedLines: 600 });
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assert.equal(req.coding, 0.9);
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assert.equal(req.reasoning, 0.7);
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});
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test("research-milestone returns correct base vector", () => {
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const req = computeTaskRequirements("research-milestone");
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assert.deepStrictEqual(req, { research: 0.9, longContext: 0.7, reasoning: 0.5 });
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});
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test("plan-slice returns correct base vector", () => {
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const req = computeTaskRequirements("plan-slice");
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assert.deepStrictEqual(req, { reasoning: 0.9, coding: 0.5 });
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});
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test("unknown-unit-type returns default reasoning requirement", () => {
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const req = computeTaskRequirements("unknown-unit-type");
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assert.deepStrictEqual(req, { reasoning: 0.5 });
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});
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test("non-execute-task with metadata ignores metadata refinements", () => {
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// research-milestone should return the same vector regardless of metadata
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const reqWithMeta = computeTaskRequirements("research-milestone", { tags: ["docs"], fileCount: 10 });
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const reqWithout = computeTaskRequirements("research-milestone");
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assert.deepStrictEqual(reqWithMeta, reqWithout);
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});
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});
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// ─── scoreEligibleModels ─────────────────────────────────────────────────────
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describe("scoreEligibleModels", () => {
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test("ranks models by score descending when scores differ by more than 2", () => {
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// research: heavily weights research dimension. gemini-2.5-pro has 85 research vs sonnet's 75
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const requirements = { research: 0.9, longContext: 0.7, reasoning: 0.5 };
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const results = scoreEligibleModels(["claude-sonnet-4-6", "gemini-2.5-pro"], requirements);
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assert.equal(results.length, 2);
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assert.ok(results[0].score >= results[1].score, "Should be sorted by score descending");
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});
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test("within 2-point threshold, prefers cheaper model", () => {
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// Use models without built-in profiles (both get score 50) so tie-break applies
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// Then use known models with equal scores: force this via single unknown model pair
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const requirements = { coding: 1.0 };
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// model-a and model-b are both unknown → score=50, cost=Infinity → lexicographic
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const results = scoreEligibleModels(["model-z", "model-a"], requirements);
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// Both unknown: score=50 (within 2), cost=Infinity (equal) → lex: model-a first
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assert.equal(results[0].modelId, "model-a");
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});
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test("single model returns array of one", () => {
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const results = scoreEligibleModels(["claude-sonnet-4-6"], { coding: 0.9 });
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assert.equal(results.length, 1);
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assert.equal(results[0].modelId, "claude-sonnet-4-6");
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});
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test("unknown model with no profile gets score of 50", () => {
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const results = scoreEligibleModels(["totally-unknown-model"], { coding: 1.0 });
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assert.equal(results[0].score, 50);
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});
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test("capabilityOverrides deep-merges with built-in profile", () => {
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const requirements = { coding: 1.0 };
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// Override sonnet's coding to 30 — gpt-4o (coding=80) should win
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const results = scoreEligibleModels(
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["claude-sonnet-4-6", "gpt-4o"],
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requirements,
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{ "claude-sonnet-4-6": { coding: 30 } },
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);
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assert.equal(results[0].modelId, "gpt-4o", "gpt-4o should rank first after coding override");
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});
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});
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// ─── getEligibleModels ───────────────────────────────────────────────────────
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describe("getEligibleModels", () => {
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const ALL_MODELS = [
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"claude-opus-4-6", // heavy
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"claude-sonnet-4-6", // standard
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"claude-haiku-4-5", // light
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"gpt-4o-mini", // light
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"gpt-4o", // standard
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];
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test("returns light-tier models from available list sorted by cost", () => {
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const config: DynamicRoutingConfig = defaultRoutingConfig();
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const result = getEligibleModels("light", ALL_MODELS, config);
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assert.ok(result.length >= 1);
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for (const id of result) {
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assert.ok(
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["claude-haiku-4-5", "gpt-4o-mini"].includes(id),
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`Expected light-tier model, got ${id}`,
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);
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}
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});
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test("returns standard-tier models from available list sorted by cost", () => {
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const config: DynamicRoutingConfig = defaultRoutingConfig();
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const result = getEligibleModels("standard", ALL_MODELS, config);
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assert.ok(result.length >= 1);
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for (const id of result) {
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assert.ok(
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["claude-sonnet-4-6", "gpt-4o"].includes(id),
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`Expected standard-tier model, got ${id}`,
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);
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}
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});
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test("tier_models pinned model returns single-element array", () => {
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const config: DynamicRoutingConfig = {
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...defaultRoutingConfig(),
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tier_models: { light: "gpt-4o-mini" },
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};
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const result = getEligibleModels("light", ALL_MODELS, config);
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assert.deepStrictEqual(result, ["gpt-4o-mini"]);
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});
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test("empty available list returns empty array", () => {
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const config: DynamicRoutingConfig = defaultRoutingConfig();
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const result = getEligibleModels("light", [], config);
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assert.equal(result.length, 0);
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});
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test("unknown models classified as standard appear in standard tier results", () => {
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const config: DynamicRoutingConfig = defaultRoutingConfig();
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// unknown-model-xyz has no entry → defaults to standard tier
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const result = getEligibleModels("standard", ["unknown-model-xyz"], config);
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assert.ok(result.includes("unknown-model-xyz"), "Unknown model should appear in standard tier");
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});
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});
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// ─── getModelTier unknown default ────────────────────────────────────────────
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describe("getModelTier unknown default", () => {
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test("unknown model returns standard tier (not heavy) via downgrade behavior", () => {
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// We can verify this indirectly: resolveModelForComplexity for a standard classification
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// with an unknown primary model should NOT downgrade (because unknown → standard, not heavy)
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const config = { ...defaultRoutingConfig(), enabled: true };
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// Use "unknown-model-xyz" as primary — its tier will be "standard" per D-15
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// Classification is "heavy" → tier >= standard → no downgrade
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// But unknown models use the isKnownModel() guard, so they pass through anyway
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// Test the positive: an unknown model is NOT treated as heavy
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const result = resolveModelForComplexity(
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makeClassification("standard"),
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{ primary: "claude-sonnet-4-6", fallbacks: [] },
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config,
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["claude-sonnet-4-6", "claude-haiku-4-5", "gpt-4o-mini"],
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);
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// standard classification with standard model (sonnet) → no downgrade
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assert.equal(result.wasDowngraded, false, "standard model should not downgrade for standard task");
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assert.equal(result.modelId, "claude-sonnet-4-6");
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});
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test("unknown model in getEligibleModels defaults to standard tier", () => {
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// Per D-15: getModelTier returns "standard" for unknown models
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const config: DynamicRoutingConfig = defaultRoutingConfig();
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const standardModels = getEligibleModels("standard", ["totally-unknown-model-abc"], config);
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const lightModels = getEligibleModels("light", ["totally-unknown-model-abc"], config);
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const heavyModels = getEligibleModels("heavy", ["totally-unknown-model-abc"], config);
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assert.ok(standardModels.includes("totally-unknown-model-abc"), "Unknown model should be in standard tier");
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assert.equal(lightModels.length, 0, "Unknown model should NOT be in light tier");
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assert.equal(heavyModels.length, 0, "Unknown model should NOT be in heavy tier");
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});
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});
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