import { describe, expect, it } from "vitest"; import { getModels, getProviders } from "../src/compat.ts"; import type { Api, Model } from "../src/types.ts"; const EXPECTED_CURRENT_ADAPTIVE_THINKING_MODELS = [ "anthropic/claude-fable-5", "anthropic/claude-haiku-5-5", "anthropic/claude-opus-4-8", "anthropic/claude-opus-5", "anthropic/claude-sonnet-5", "cloudflare-ai-gateway/claude-fable-5", "fireworks/accounts/fireworks/models/deepseek-v4p1-flash", "fireworks/accounts/fireworks/models/gpt-oss-120b", "fireworks/accounts/fireworks/models/qwen3p8-max", "opencode/claude-opus-4-8", "opencode/claude-opus-5", "vercel-ai-gateway/anthropic/claude-opus-4.8", "vercel-ai-gateway/anthropic/claude-opus-5", "vercel-ai-gateway/anthropic/claude-sonnet-5", ]; function getAllModels(): Model[] { return getProviders().flatMap((provider) => getModels(provider) as Model[]); } describe("Anthropic adaptive thinking model metadata", () => { it("marks built-in Anthropic Messages models that use adaptive thinking", () => { const flaggedModels = getAllModels() .filter((model): model is Model<"anthropic-messages"> => model.api === "anthropic-messages") .filter((model) => model.compat?.forceAdaptiveThinking === true) .map((model) => `${model.provider}/${model.id}`) .sort(); expect(flaggedModels).toEqual(expect.arrayContaining([...EXPECTED_CURRENT_ADAPTIVE_THINKING_MODELS].sort())); expect(flaggedModels).toEqual( flaggedModels.filter( (modelId) => // Regression for #9323: Fireworks uses catalog effort metadata and // verified fallbacks, not a fixed set of adaptive model names. modelId.startsWith("fireworks/") || /(opus[-.](4[-.][678]|5)|sonnet[-.]4[-.]6|sonnet[-.]5|haiku[-.]5[-.]5|fable[-.]5)/.test(modelId), ), ); }); });