import { describe, expect, it } from 'vitest' import { PROVIDER_PRESETS as SERVER_PROVIDER_PRESETS, buildProviderModelMap as buildServerProviderModelMap, } from '../../packages/server/src/shared/providers' import { PROVIDER_ENV_MAP } from '../../packages/server/src/services/config-helpers' const OPENAI_CODEX_PROVIDER = 'openai-codex' const COPILOT_PROVIDER = 'copilot' const FUN_CODEX_PROVIDER = 'fun-codex' const LONGCAT_PROVIDER = 'longcat' const KIMI_CODING_PROVIDER = 'kimi-coding' const KIMI_CODING_CN_PROVIDER = 'kimi-coding-cn' const GLM_CODING_PLAN_PROVIDER = 'glm' const ALIBABA_CODING_PLAN_PROVIDER = 'alibaba-coding-plan' const MINIMAX_PROVIDER = 'minimax' const MINIMAX_CN_PROVIDER = 'minimax-cn' const NOUS_PROVIDER = 'nous' const STEPFUN_PROVIDER = 'stepfun' const XAI_OAUTH_PROVIDER = 'xai-oauth' const GEMINI_OAUTH_PROVIDER = 'google-gemini-cli' const CLAUDE_OAUTH_PROVIDER = 'claude-oauth' const ANTHROPIC_PROVIDER = 'anthropic' const GPT_5_5_MODEL = 'gpt-5.5' function modelsForProvider(providerPresets: Array<{ value: string; models: string[] }>, provider: string): string[] { const preset = providerPresets.find((candidate) => candidate.value === provider) expect(preset).toBeDefined() return preset?.models ?? [] } describe('provider presets', () => { it('keeps every built-in provider preset registered in the env map', () => { const missingMappings = SERVER_PROVIDER_PRESETS .filter(candidate => candidate.builtin) .map(candidate => candidate.value) .filter(provider => !Object.prototype.hasOwnProperty.call(PROVIDER_ENV_MAP, provider)) expect(missingMappings).toEqual([]) }) it('routes apikey.fun Codex through the Responses transport', () => { const preset = SERVER_PROVIDER_PRESETS.find((candidate) => candidate.value === FUN_CODEX_PROVIDER) expect(preset?.api_mode).toBe('codex_responses') }) it('routes LongCat through the Responses transport', () => { const preset = SERVER_PROVIDER_PRESETS.find((candidate) => candidate.value === LONGCAT_PROVIDER) expect(preset?.api_mode).toBe('codex_responses') }) it('lists GPT-5.5 for OpenAI Codex', () => { expect(modelsForProvider(SERVER_PROVIDER_PRESETS, OPENAI_CODEX_PROVIDER)).toContain(GPT_5_5_MODEL) }) it('exposes GPT-5.5 through provider model maps', () => { expect(buildServerProviderModelMap()[OPENAI_CODEX_PROVIDER]).toContain(GPT_5_5_MODEL) }) it('treats xAI OAuth as OAuth-only for availability checks', () => { expect(PROVIDER_ENV_MAP[XAI_OAUTH_PROVIDER]).toEqual({ api_key_env: '', base_url_env: '' }) }) it('treats Google Gemini OAuth as OAuth-only for availability checks', () => { expect(PROVIDER_ENV_MAP[GEMINI_OAUTH_PROVIDER]).toEqual({ api_key_env: '', base_url_env: '' }) expect(modelsForProvider(SERVER_PROVIDER_PRESETS, GEMINI_OAUTH_PROVIDER)).toContain('gemini-3.1-pro-preview') }) it('treats Claude OAuth as OAuth-only while keeping Anthropic API key separate', () => { expect(PROVIDER_ENV_MAP[CLAUDE_OAUTH_PROVIDER]).toEqual({ api_key_env: '', base_url_env: '' }) expect(PROVIDER_ENV_MAP.anthropic).toEqual({ api_key_env: 'ANTHROPIC_API_KEY', base_url_env: 'ANTHROPIC_BASE_URL' }) expect(modelsForProvider(SERVER_PROVIDER_PRESETS, CLAUDE_OAUTH_PROVIDER)).toContain('claude-sonnet-4-6') }) it('includes Claude Fable 5 for direct Anthropic and Claude OAuth', () => { expect(modelsForProvider(SERVER_PROVIDER_PRESETS, ANTHROPIC_PROVIDER)).toContain('claude-fable-5') expect(modelsForProvider(SERVER_PROVIDER_PRESETS, CLAUDE_OAUTH_PROVIDER)).toContain('claude-fable-5') }) it('keeps Kimi Coding Plan and China credentials distinct without duplicate Moonshot presets', () => { expect(PROVIDER_ENV_MAP[KIMI_CODING_PROVIDER]).toEqual({ api_key_env: 'KIMI_API_KEY', base_url_env: 'KIMI_BASE_URL' }) expect(PROVIDER_ENV_MAP[KIMI_CODING_CN_PROVIDER]).toEqual({ api_key_env: 'KIMI_CN_API_KEY', base_url_env: '' }) expect(PROVIDER_ENV_MAP).not.toHaveProperty('moonshot') expect(SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === KIMI_CODING_PROVIDER)?.base_url).toBe('https://api.kimi.com/coding/v1') expect(SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === KIMI_CODING_CN_PROVIDER)?.base_url).toBe('https://api.kimi.cn/coding/v1') expect(SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === KIMI_CODING_CN_PROVIDER)?.label).toBe('Kimi for Coding China') expect(SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === 'moonshot')).toBeUndefined() }) it('aligns GLM Coding Plan with Hermes Agent China coding endpoint', () => { const preset = SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === GLM_CODING_PLAN_PROVIDER) expect(preset?.base_url).toBe('https://open.bigmodel.cn/api/coding/paas/v4') expect(preset?.api_mode).toBeUndefined() expect(PROVIDER_ENV_MAP[GLM_CODING_PLAN_PROVIDER]).toEqual({ api_key_env: 'GLM_API_KEY', base_url_env: '' }) expect(modelsForProvider(SERVER_PROVIDER_PRESETS, GLM_CODING_PLAN_PROVIDER)).toEqual([ 'glm-5.2', 'glm-5.1', 'glm-5v-turbo', 'glm-4.7', ]) }) it('includes Qwen 3.7 Plus in the Alibaba Coding Plan fallback catalog', () => { expect(modelsForProvider(SERVER_PROVIDER_PRESETS, ALIBABA_CODING_PLAN_PROVIDER)).toContain('qwen3.7-plus') }) it('does not expose incomplete built-in provider presets', () => { expect(PROVIDER_ENV_MAP).not.toHaveProperty('azure-foundry') expect(SERVER_PROVIDER_PRESETS.find(candidate => candidate.value === 'azure-foundry')).toBeUndefined() expect(SERVER_PROVIDER_PRESETS.filter(candidate => candidate.builtin && !candidate.base_url && candidate.models.length === 0)).toEqual([]) }) it('includes Step 3.7 Flash in the StepFun fallback catalog', () => { expect(modelsForProvider(SERVER_PROVIDER_PRESETS, STEPFUN_PROVIDER)).toContain('step-3.7-flash') }) it('keeps MiniMax M3 first while retaining currently supported M2.x Anthropic models', () => { expect(PROVIDER_ENV_MAP[MINIMAX_PROVIDER]).toEqual({ api_key_env: 'MINIMAX_API_KEY', base_url_env: 'MINIMAX_BASE_URL' }) expect(PROVIDER_ENV_MAP[MINIMAX_CN_PROVIDER]).toEqual({ api_key_env: 'MINIMAX_CN_API_KEY', base_url_env: 'MINIMAX_CN_BASE_URL' }) for (const provider of [MINIMAX_PROVIDER, MINIMAX_CN_PROVIDER]) { const models = modelsForProvider(SERVER_PROVIDER_PRESETS, provider) expect(models[0]).toBe('MiniMax-M3') expect(models).toEqual(expect.arrayContaining([ 'MiniMax-M2.7', 'MiniMax-M2.7-highspeed', 'MiniMax-M2.5', 'MiniMax-M2.5-highspeed', 'MiniMax-M2.1', 'MiniMax-M2.1-highspeed', 'MiniMax-M2', ])) } }) it('includes current GitHub Copilot fallback models', () => { const models = modelsForProvider(SERVER_PROVIDER_PRESETS, COPILOT_PROVIDER) expect(models).toEqual(expect.arrayContaining([ 'gpt-5.5', 'gpt-5.4', 'gpt-5.4-nano', 'claude-opus-4.8', 'gemini-3.5-flash', 'raptor-mini', ])) expect(models).not.toContain('grok-code-fast-1') }) it('hardcodes current Nous catalog and recommended models', () => { const models = modelsForProvider(SERVER_PROVIDER_PRESETS, NOUS_PROVIDER) expect(models).toContain('anthropic/claude-opus-4.8') expect(models).toContain('qwen/qwen3.7-max') expect(models).toContain('qwen/qwen3.6-35b-a3b') expect(buildServerProviderModelMap()[NOUS_PROVIDER]).toContain('qwen/qwen3.7-max') }) })