feat(models): strong/cheap/vision model slots + multi-provider engine federation

Model slots wave (2026-09-20), chunk B:

- settings: new `models` section {strong, cheap, vision} slots (each
  field independent, same shape as a role override); ROLE_SLOT maps all
  nine roles to tiers (strong=prober+teacher, cheap=researcher/
  demoBuilder/extractor/auditor/labeler, vision=visualMaker+pdfReader);
  resolution chain per role: override → slot → factory pin.
- config: ModelSpec gains provider (all pins openrouter, the BYOK
  default); MODEL_PINS in stores.ts now spans all nine roles (the strong
  slot's factory rep IS the prober pin).
- engine: piModels() registers EVERY builtin provider catalog;
  piEngineForSpec(resolved spec) is the new engine factory (pi-ai
  resolves per-provider keys from env itself); piEngineFor stays as the
  config-pin fallback. chat-handler resolves the conversation chain
  (chat override → strong slot → pin) and injects engineFor into the job
  runner, closing the old gap where per-role overrides never reached
  job engines.
- /api/models: models federate ONLY keyed providers (providers surface
  with keyPresent, env-wins, fresh per call); slots (resolved tier pins)
  join rolePins; catalogDefaultsFor inherits the strong slot; the models
  settings section gets the same catalog gate as chat.
- pricing: PRICES/CONTEXT_LIMITS uniformly keyed provider:id
  (regenerated from ALL pi-ai catalogs, 1354 keys); usage stamps
  (TurnUsage, JobUsage, extraction stages) switch to provider:id —
  owner decision: no legacy compat, old stamps render unpriced.
This commit is contained in:
amosblomqvist
2026-09-22 00:14:56 +03:00
parent f1373d5de5
commit f9e3a4c43d
26 changed files with 3529 additions and 912 deletions
+125 -18
View File
@@ -1,26 +1,42 @@
/**
* Tests for the resolution layer (settings-storage wave, 2026-09-19):
* core/settings-resolution.ts — the delta→concrete projection. The factory
* layer is threaded in as a parameter (core stays pure; server/stores.ts
* threads config.ts's MODELS), so these tests use a small synthetic pin.
* Tests for the resolution layer (settings-storage wave, 2026-09-19;
* model-slots wave 2026-09-20 adds the slot tier): core/settings-resolution.ts
* — the delta→concrete projection. The factory layer is threaded in as a
* parameter (core stays pure; server/stores.ts threads config.ts's MODELS),
* so these tests use a small synthetic pin spanning ALL NINE roles (the
* factory contract since the slots wave — the strong slot's rep IS the
* prober pin).
*/
import assert from "node:assert/strict";
import { describe, it } from "node:test";
import {
extractionEnabled,
factorySlotRep,
graphContextEnabled,
resolveModelSpec,
resolveSettings,
resolveSlot,
type ModelRoleSpecs,
} from "../src/core/settings-resolution.ts";
import { BACKGROUND_MODEL_ROLES, type UserSettings } from "../src/core/settings.ts";
import { BACKGROUND_MODEL_ROLES, type ModelSlotName, type UserSettings } from "../src/core/settings.ts";
const FACTORY_PINS = Object.fromEntries(
BACKGROUND_MODEL_ROLES.map((role, i) => [
[
"prober",
"teacher",
"researcher",
"demoBuilder",
"visualMaker",
"pdfReader",
"extractor",
"auditor",
"labeler",
].map((role, i) => [
role,
{ model: `factory/model-${i}`, effort: i % 2 === 0 ? "low" : "off" },
{ provider: i === 5 ? "other" : "openrouter", model: `factory/model-${i}`, effort: i % 2 === 0 ? "low" : "off" },
]),
) as Record<(typeof BACKGROUND_MODEL_ROLES)[number], { model: string; effort: "low" | "off" }>;
) as ModelRoleSpecs;
describe("resolveSettings", () => {
it("null record (first boot): every knob lands on its factory default", () => {
@@ -29,11 +45,28 @@ describe("resolveSettings", () => {
assert.deepEqual(eff.chat, {}); // BYOK: no default model, ever
assert.deepEqual(eff.agent.tools, {});
assert.deepEqual(eff.agent.prompts, {});
assert.deepEqual(eff.agent.search, {});
for (const role of BACKGROUND_MODEL_ROLES) {
assert.equal(eff.agent.models[role].id, FACTORY_PINS[role].model);
assert.equal(eff.agent.models[role].provider, "openrouter");
assert.equal(eff.agent.models[role].thinkingLevel, FACTORY_PINS[role].effort);
assert.equal(eff.agent.models[role].id, FACTORY_PINS[role]!.model);
assert.equal(eff.agent.models[role].provider, FACTORY_PINS[role]!.provider);
assert.equal(eff.agent.models[role].thinkingLevel, FACTORY_PINS[role]!.effort);
}
// slots with no record: every tier lands on its factory rep pin
assert.deepEqual(eff.models.strong, {
provider: "openrouter",
id: FACTORY_PINS.prober!.model,
thinkingLevel: FACTORY_PINS.prober!.effort,
});
assert.deepEqual(eff.models.cheap, {
provider: "openrouter",
id: FACTORY_PINS.researcher!.model,
thinkingLevel: FACTORY_PINS.researcher!.effort,
});
assert.deepEqual(eff.models.vision, {
provider: "openrouter",
id: FACTORY_PINS.visualMaker!.model,
thinkingLevel: FACTORY_PINS.visualMaker!.effort,
});
assert.equal(eff.appearance.mode, "dark");
assert.equal(eff.appearance.background, null);
assert.equal(eff.appearance.fontFamily, null);
@@ -52,6 +85,7 @@ describe("resolveSettings", () => {
models: { researcher: { model: { provider: "openrouter", id: "qwen/qwen3.8-flash" } } },
tools: { research: false },
prompts: { "system-prompt.md": true },
search: { engine: "tavily" },
},
appearance: { mode: "light", proseFontSize: 20, mdRendering: { headingWeight: 600 } },
graph: { enabled: false },
@@ -64,6 +98,7 @@ describe("resolveSettings", () => {
id: "qwen/qwen3.8-flash",
thinkingLevel: "low", // thinking NOT overridden → factory effort
});
assert.deepEqual(eff.agent.search, { engine: "tavily" });
assert.deepEqual(eff.agent.tools, { research: false });
assert.deepEqual(eff.agent.prompts, { "system-prompt.md": true });
assert.equal(eff.appearance.mode, "light");
@@ -79,29 +114,101 @@ describe("resolveSettings", () => {
{ version: 1, agent: { models: { extractor: { thinkingLevel: "medium" } } } },
FACTORY_PINS,
);
const extractor = FACTORY_PINS.extractor;
const extractor = FACTORY_PINS.extractor!;
assert.deepEqual(eff.agent.models.extractor, {
provider: "openrouter",
provider: extractor.provider,
id: extractor.model,
thinkingLevel: "medium",
});
// sibling roles untouched
assert.equal(eff.agent.models.researcher.thinkingLevel, FACTORY_PINS.researcher.effort);
assert.equal(eff.agent.models.researcher.thinkingLevel, FACTORY_PINS.researcher!.effort);
});
it("resolveModelSpec is field-independent per override aspect", () => {
assert.deepEqual(
resolveModelSpec("labeler", { model: { provider: "other", id: "x" } }, FACTORY_PINS),
{ provider: "other", id: "x", thinkingLevel: FACTORY_PINS.labeler.effort },
{ provider: "other", id: "x", thinkingLevel: FACTORY_PINS.labeler!.effort },
);
assert.deepEqual(resolveModelSpec("labeler", {}, FACTORY_PINS), {
provider: "openrouter",
id: FACTORY_PINS.labeler.model,
thinkingLevel: FACTORY_PINS.labeler.effort,
provider: FACTORY_PINS.labeler!.provider,
id: FACTORY_PINS.labeler!.model,
thinkingLevel: FACTORY_PINS.labeler!.effort,
});
});
});
describe("the slot tier (model slots wave, 2026-09-20)", () => {
it("slot alone re-tiers every role of its tier (no role overrides present)", () => {
const eff = resolveSettings(
{ version: 1, models: { cheap: { model: { provider: "zai", id: "glm-5.3-flash" } } } },
FACTORY_PINS,
);
for (const role of ["researcher", "demoBuilder", "extractor", "auditor", "labeler"] as const) {
assert.deepEqual(eff.agent.models[role as "researcher"], {
provider: "zai",
id: "glm-5.3-flash",
thinkingLevel: FACTORY_PINS[role]!.effort, // thinking not in slot → factory
}, role);
}
// other tiers untouched
assert.equal(eff.agent.models.visualMaker.id, FACTORY_PINS.visualMaker!.model);
});
it("role override still beats the slot; slot beats the factory pin (the chain)", () => {
const eff = resolveSettings(
{
version: 1,
agent: { models: { researcher: { model: { provider: "groq", id: "r-override" } } } },
models: { cheap: { model: { provider: "zai", id: "r-slot" }, thinkingLevel: "high" } },
},
FACTORY_PINS,
);
// researcher: override model + slot thinking (field-independent)
assert.deepEqual(eff.agent.models.researcher, {
provider: "groq",
id: "r-override",
thinkingLevel: "high",
});
// labeler (same tier, no override): full slot
assert.deepEqual(eff.agent.models.labeler, { provider: "zai", id: "r-slot", thinkingLevel: "high" });
});
it("vision slot covers visualMaker AND pdfReader; strong's rep is the prober pin", () => {
const eff = resolveSettings(
{ version: 1, models: { vision: { thinkingLevel: "max" } } },
FACTORY_PINS,
);
assert.equal(eff.agent.models.visualMaker.thinkingLevel, "max");
assert.equal(eff.agent.models.visualMaker.id, FACTORY_PINS.visualMaker!.model);
// resolved slot views exist for every tier, set or not
assert.deepEqual(eff.models.strong, factorySlotRep("strong", FACTORY_PINS));
});
it("resolveSlot: slot over factory rep, per field", () => {
assert.deepEqual(resolveSlot("strong", { thinkingLevel: "medium" }, FACTORY_PINS), {
provider: FACTORY_PINS.prober!.provider,
id: FACTORY_PINS.prober!.model,
thinkingLevel: "medium",
});
const rep = factorySlotRep("vision", FACTORY_PINS);
assert.equal(rep.id, FACTORY_PINS.visualMaker!.model);
const slot: ModelSlotName = "cheap";
assert.deepEqual(resolveSlot(slot, undefined, FACTORY_PINS), {
provider: FACTORY_PINS.researcher!.provider,
id: FACTORY_PINS.researcher!.model,
thinkingLevel: FACTORY_PINS.researcher!.effort,
});
});
it("absent provider coordinate anywhere rides the factory provider (legacy ids)", () => {
// resolveModelSpec with no slots and a factory provider of "other"
// (pdfReader is index 5 in the synthetic pins): a legacy override
// with no provider keeps the FACTORY provider, not a hardcoded one.
const spec = resolveModelSpec("auditor", {}, FACTORY_PINS);
assert.equal(spec.provider, FACTORY_PINS.auditor!.provider);
});
});
describe("the graph channel gates (the wave's seam honoring)", () => {
it("WRITE channel (extraction): dies with the master switch only", () => {
assert.equal(extractionEnabled({ enabled: true, embedding: true, clustering: true, labeling: true }), true);