Files
learnharness/tests/model-catalog.test.ts
T
amosblomqvist cb4fe25c89 wave 2 (platform stream): settings storage & plumbing foundation (P2)
- src/core/settings.ts: versioned DELTA record schema + sanitizer (unknown keys preserved)
  — general/chat/agent{models,tools,prompts}/appearance/graph sections
- src/core/settings-resolution.ts: pure resolveSettings (factory defaults → user delta),
  extraction/graph-context channel predicates
- src/store/settings.ts + prompt-overrides.ts: SettingsStore/PromptOverrideStore adapters
  wired through stores.ts (effectiveSettings() fresh per call); lazy migration of
  default-settings.json into record.chat
- app/api/settings/** routes (record, section bodies, prompt overrides per segment)
- chat-handler: graph gates at trigger call-sites + toolToggles injection seam
- config.ts: SETTINGS_FILE + PROMPTS_OVERRIDE_DIR paths

587/587 tests; typecheck/lint/build clean
2026-09-19 18:05:30 +03:00

120 lines
6.2 KiB
TypeScript

import { describe, it } from "node:test";
import assert from "node:assert/strict";
import { modelCatalog, validateChatSettings, catalogDefaultsFor, toModelDto } from "../src/server/model-catalog.ts";
import { clampThinkingLevel, getSupportedThinkingLevels } from "@earendil-works/pi-ai";
import { MODELS } from "../config.ts";
import { piEngineFor } from "../src/agent/models.ts";
// The model-control wave (2026-09-12): pi-ai owns the registry — these pins
// hold our projection + validation honest against the shipped catalog, and
// pin pi's per-model thinking truth so a pi-ai upgrade can't silently change
// what we send.
describe("the model catalog projection", () => {
it("serves pi-ai's OpenRouter catalog with the picker's DTO shape", () => {
const { models, defaults } = modelCatalog();
// 0.85.1 ships 366 OpenRouter models — the exact count is pi's, but
// the shape and the config models' presence are ours to pin.
assert.ok(models.length > 300, `expected a full catalog, got ${models.length}`);
for (const m of models.slice(0, 25)) {
assert.equal(typeof m.id, "string");
assert.equal(typeof m.name, "string");
assert.ok(Array.isArray(m.supportedLevels));
assert.ok(typeof m.cost.input === "number" && typeof m.cost.output === "number");
assert.ok(m.contextWindow > 0);
}
const glm = models.find((m) => m.id === "z-ai/glm-5.3-flash");
assert.ok(glm, "glm-5.3-flash in catalog");
assert.deepEqual(glm!.supportedLevels, ["low", "high", "max"]);
assert.deepEqual(glm!.input, ["text", "image"]);
// pi's current glm price (our old table said 0.15/0.5 — stale)
assert.deepEqual(glm!.cost, { input: 0.075, output: 0.25, cacheRead: 0.015, cacheWrite: 0 });
});
it("defaults mirror the conversation agents' config pin", () => {
const d = catalogDefaultsFor();
assert.deepEqual(d, { model: { provider: "openrouter", id: MODELS.prober.model }, thinkingLevel: MODELS.prober.effort });
assert.equal(d.model.id, MODELS.teacher.model, "one controller: prober and teacher share the pin");
});
it("a picked default in the record's chat section overrides the pin (catalogDefaultsFor, settings wave)", () => {
const d = catalogDefaultsFor({ model: { provider: "openrouter", id: "qwen/qwen3.8-flash" }, thinkingLevel: "high" });
assert.deepEqual(d, { model: { provider: "openrouter", id: "qwen/qwen3.8-flash" }, thinkingLevel: "high" });
// partial: only the model chosen → thinking falls back to the pin
const partial = catalogDefaultsFor({ model: { provider: "openrouter", id: "qwen/qwen3.8-flash" } });
assert.equal(partial.thinkingLevel, MODELS.prober.effort);
assert.equal(partial.model.id, "qwen/qwen3.8-flash");
// graphContextTokens-only record: model untouched
assert.deepEqual(catalogDefaultsFor({ graphContextTokens: 512 }), {
model: { provider: "openrouter", id: MODELS.prober.model },
thinkingLevel: MODELS.prober.effort,
});
});
it("toModelDto projects the raw catalog model verbatim", () => {
const raw = piEngineFor("prober").model; // the catalog's glm entry
const dto = toModelDto(raw);
assert.equal(dto.id, raw.id);
assert.equal(dto.name, raw.name);
assert.deepEqual(dto.supportedLevels, getSupportedThinkingLevels(raw));
assert.equal(dto.cost.input, raw.cost.input);
assert.equal(dto.contextWindow, raw.contextWindow);
});
});
describe("the settings validation gate", () => {
it("accepts a supported level and rejects an unsupported one with the list", () => {
const ok = validateChatSettings({ model: { provider: "openrouter", id: "z-ai/glm-5.3-flash" }, thinkingLevel: "max" });
assert.deepEqual(ok, { ok: true });
const bad = validateChatSettings({ model: { provider: "openrouter", id: "z-ai/glm-5.3-flash" }, thinkingLevel: "minimal" });
assert.equal(bad.ok, false);
if (!bad.ok) {
assert.match(bad.error, /does not support thinking level/);
assert.deepEqual(bad.supported, ["low", "high", "max"]);
}
});
it("resolves a bare thinking level against the config default model", () => {
assert.deepEqual(validateChatSettings({ thinkingLevel: "high" }), { ok: true });
// "minimal" is unsupported on config's glm — rejected even with no model set
assert.equal(validateChatSettings({ thinkingLevel: "minimal" }).ok, false);
});
it("rejects unknown providers and models", () => {
assert.equal(validateChatSettings({ model: { provider: "nope", id: "x/y" } }).ok, false);
assert.equal(validateChatSettings({ model: { provider: "openrouter", id: "nope/nope" } }).ok, false);
});
it("accepts empty settings (the clear-overrides write)", () => {
assert.deepEqual(validateChatSettings({}), { ok: true });
});
});
describe("pi thinking truth (pinned against pi-ai upgrades)", () => {
it("glm-5.3-flash: low|high|max; anything else clamps to the nearest", () => {
const glm = piEngineFor("prober").model;
assert.deepEqual(getSupportedThinkingLevels(glm), ["low", "high", "max"]);
assert.equal(clampThinkingLevel(glm, "minimal"), "low");
assert.equal(clampThinkingLevel(glm, "off"), "low", "GLM cannot disable thinking (map: off → null)");
assert.equal(clampThinkingLevel(glm, "xhigh"), "max");
assert.equal(clampThinkingLevel(glm, "high"), "high");
});
it("the engine factory honors settings, falls back to config, clamps", () => {
// override both fields
const over = piEngineFor("teacher", { model: { provider: "openrouter", id: "qwen/qwen3.8-flash" }, thinkingLevel: "high" });
assert.equal(over.model.id, "qwen/qwen3.8-flash");
assert.equal(over.level, "high");
// no settings → config pin
const pinned = piEngineFor("prober");
assert.equal(pinned.model.id, MODELS.prober.model);
assert.equal(pinned.level, MODELS.prober.effort);
// settings level unsupported by the settings model → clamped honestly
const clamped = piEngineFor("teacher", { model: { provider: "openrouter", id: "z-ai/glm-5.3-flash" }, thinkingLevel: "minimal" });
assert.equal(clamped.level, "low");
// bare level resolves against the config default model
assert.equal(piEngineFor("prober", { thinkingLevel: "max" }).level, "max");
// unknown model → honest throw, never a silent fallback
assert.throws(() => piEngineFor("teacher", { model: { provider: "openrouter", id: "nope/nope" } }), /catalog has no model/);
});
});