79:Tb52,## What this adds A provider abstraction layer that lets `ai-cli` work without a Vercel AI Gateway key, by supporting OpenRouter, fal.ai, and direct OpenAI as backends. ## Motivation Getting a Vercel AI Gateway key requires a Vercel account. Many users already have OpenRouter or OpenAI API keys. This change lets them use `ai-cli` immediately with what they have. ## How it works Auto-detects the active backend from environment variables. Vercel AI Gateway remains the default — existing behaviour is unchanged. | Env vars set | Text | Image | Video | |---|---|---|---| | `AI_GATEWAY_API_KEY` | ✓ Vercel (100+ models) | ✓ | ✓ | | `OPENROUTER_API_KEY` | ✓ OpenRouter (300+ models) | — | — | | `OPENROUTER_API_KEY` + `FAL_KEY` | ✓ OpenRouter | ✓ fal.ai (Flux, SDXL) | ✓ fal.ai (Kling, Wan, Runway) | | `FAL_KEY` | — | ✓ fal.ai | ✓ fal.ai | | `OPENAI_API_KEY` | ✓ GPT models | ✓ DALL-E | — | | `AI_PROVIDER=` | explicit override | — | — | ## Changes **New file: `src/lib/provider.ts`** - `detectBackend()` — reads env vars, returns active backend - `createProvider()` — returns `{ text(), image(), video() }` factory functions pointing to the right AI SDK provider **`src/lib/models.ts`** - `fetchGatewayModels(backend)` — fetches models from the right source - OpenRouter: live from `openrouter.ai/api/v1/models` - fal.ai: static catalogue (Flux, Kling, Wan, HunyuanVideo, Runway Gen3) — fal.ai has no public model list endpoint - OpenAI: static catalogue (GPT-4o, o3, o4-mini, DALL-E 2/3, GPT Image 1) - `resolveModels(modality, model, known, backend)` — selects correct defaults per backend **`src/commands/text.ts`, `image.ts`, `video.ts`, `models.ts`** - All commands call `createProvider()` and use `provider.text/image/video(modelId)` - `video.ts` exits with a clear message if backend has no video support - `image.ts` language-image path (GPT-4o with image output) is guarded to Vercel gateway only **New dependencies** - `@openrouter/ai-sdk-provider` v2.9.0 - `@ai-sdk/openai` v3.0.58 - `@ai-sdk/fal` v2.0.33 ## Testing status - [x] TypeScript type-checks clean (`tsc --noEmit`) - [x] CLI starts and all `--help` pages render correctly - [x] Provider package APIs verified at runtime (`fal.image`, `fal.video`, `openrouter()` all confirmed callable with correct signatures) - [ ] End-to-end generation via OpenRouter (not tested with live key — wiring is correct based on package API verification) - [ ] End-to-end generation via fal.ai (not tested with live key — wiring is correct based on package API verification) - [x] Vercel AI Gateway path: unchanged, all existing tests pass Happy to add end-to-end tests or adjust the approach based on feedback. If the project prefers to keep the tool Vercel-specific, I understand — just thought this was worth proposing given how often it comes up for first-time users.7a:T2951,**Review the following changes in direct dependencies.** Learn more about [Socket for GitHub](https://socket.dev?utm_medium=gh).

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	npm/@openrouter/ai-sdk-provider@2.9.0
	npm/@ai-sdk/openai@3.0.58
	npm/@ai-sdk/fal@2.0.33

[View full report](https://socket.dev/dashboard/org/vercel-labs/diff-scan/b16ec5eb-3d31-4925-b41e-82b9e99f12d0?tab=dependencies) 7b:T6de,feat: add multi-provider support (OpenRouter, fal.ai, OpenAI direct) Adds a provider abstraction layer that lets users choose their backend via environment variables, without requiring a Vercel AI Gateway key. New file: src/lib/provider.ts - Auto-detects active backend from env vars (priority order): AI_GATEWAY_API_KEY → Vercel (default, unchanged behaviour) OPENROUTER_API_KEY → OpenRouter (300+ text models) OPENROUTER_API_KEY + FAL_KEY → OpenRouter for text, fal.ai for image/video FAL_KEY → fal.ai image + video only OPENAI_API_KEY → direct OpenAI text + DALL-E image AI_PROVIDER → explicit override Updated: src/lib/models.ts - fetchGatewayModels() now accepts a backend param - OpenRouter model list fetched from openrouter.ai/api/v1/models - fal.ai models: static catalogue (Flux Pro/Dev/Schnell, Kling, Wan, HunyuanVideo, Runway Gen3) — fal.ai has no unified model list endpoint - OpenAI direct: static catalogue (GPT-4o, o3, o4-mini, DALL-E 2/3) - resolveModels() accepts backend param to select correct defaults Updated: commands/text.ts, image.ts, video.ts, models.ts - All commands create provider via createProvider() and pass provider.text/image/video(modelId) to the AI SDK generate functions - video.ts exits with clear message if chosen backend has no video support - image.ts language-image path (GPT-4o with image output) remains Vercel-gateway-only, guarded by backend check New deps: @openrouter/ai-sdk-provider, @ai-sdk/openai, @ai-sdk/fal Note: Vercel AI Gateway (AI_GATEWAY_API_KEY) remains the default and is the only backend with end-to-end test coverage. The new provider paths type-check and wire to verified package APIs, but have not been validated against live endpoints with real keys. 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Commits on Mon, May 4, 2026