feat: add models.dev-backed model capabilities
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@@ -0,0 +1,134 @@
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/// <reference types="bun-types" />
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import { afterEach, beforeEach, describe, expect, test } from "bun:test"
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import { existsSync, mkdirSync, mkdtempSync, readFileSync, rmSync, writeFileSync } from "node:fs"
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import { tmpdir } from "node:os"
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import { join } from "node:path"
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import {
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buildModelCapabilitiesSnapshotFromModelsDev,
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createModelCapabilitiesCacheStore,
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MODELS_DEV_SOURCE_URL,
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} from "./model-capabilities-cache"
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let fakeUserCacheRoot = ""
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let testCacheDir = ""
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describe("model-capabilities-cache", () => {
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beforeEach(() => {
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fakeUserCacheRoot = mkdtempSync(join(tmpdir(), "model-capabilities-cache-"))
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testCacheDir = join(fakeUserCacheRoot, "oh-my-opencode")
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})
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afterEach(() => {
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if (existsSync(fakeUserCacheRoot)) {
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rmSync(fakeUserCacheRoot, { recursive: true, force: true })
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}
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fakeUserCacheRoot = ""
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testCacheDir = ""
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})
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test("builds a normalized snapshot from provider-keyed models.dev data", () => {
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//#given
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const raw = {
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openai: {
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models: {
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"gpt-5.4": {
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id: "gpt-5.4",
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family: "gpt",
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reasoning: true,
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temperature: false,
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tool_call: true,
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modalities: {
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input: ["text", "image"],
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output: ["text"],
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},
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limit: {
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context: 1_050_000,
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output: 128_000,
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},
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},
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},
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},
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anthropic: {
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models: {
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"claude-sonnet-4-6": {
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family: "claude-sonnet",
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reasoning: true,
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temperature: true,
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limit: {
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context: 1_000_000,
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output: 64_000,
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},
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},
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},
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},
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}
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//#when
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const snapshot = buildModelCapabilitiesSnapshotFromModelsDev(raw)
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//#then
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expect(snapshot.sourceUrl).toBe(MODELS_DEV_SOURCE_URL)
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expect(snapshot.models["gpt-5.4"]).toEqual({
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id: "gpt-5.4",
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family: "gpt",
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reasoning: true,
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temperature: false,
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toolCall: true,
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modalities: {
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input: ["text", "image"],
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output: ["text"],
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},
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limit: {
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context: 1_050_000,
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output: 128_000,
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},
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})
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expect(snapshot.models["claude-sonnet-4-6"]).toEqual({
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id: "claude-sonnet-4-6",
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family: "claude-sonnet",
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reasoning: true,
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temperature: true,
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limit: {
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context: 1_000_000,
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output: 64_000,
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},
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})
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})
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test("refresh writes cache and preserves unrelated files in the cache directory", async () => {
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//#given
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const sentinelPath = join(testCacheDir, "keep-me.json")
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const store = createModelCapabilitiesCacheStore(() => testCacheDir)
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mkdirSync(testCacheDir, { recursive: true })
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writeFileSync(sentinelPath, JSON.stringify({ keep: true }))
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const fetchImpl: typeof fetch = async () =>
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new Response(JSON.stringify({
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openai: {
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models: {
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"gpt-5.4": {
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id: "gpt-5.4",
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family: "gpt",
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reasoning: true,
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limit: { output: 128_000 },
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},
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},
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},
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}), {
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status: 200,
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headers: { "content-type": "application/json" },
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})
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//#when
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const snapshot = await store.refreshModelCapabilitiesCache({ fetchImpl })
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const reloadedStore = createModelCapabilitiesCacheStore(() => testCacheDir)
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//#then
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expect(snapshot.models["gpt-5.4"]?.limit?.output).toBe(128_000)
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expect(existsSync(sentinelPath)).toBe(true)
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expect(readFileSync(sentinelPath, "utf-8")).toBe(JSON.stringify({ keep: true }))
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expect(reloadedStore.readModelCapabilitiesCache()).toEqual(snapshot)
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})
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})
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