[Feature] Add n1n.ai API as a model provider

[n1n-api]

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What Would You Like to See with the Gateway?

Hi AI/gateway team,

We're n1n API, and we offer a robust API that provides access to 400+ large language models (LLMs), as well as multimodal generation capabilities (text, images, video, audio, etc.). Our platform makes it easy to integrate these advanced features into your project, empowering developers with powerful AI tools.

With n1n API, you can quickly leverage a comprehensive suite of AI models for diverse applications—everything from text generation to media synthesis—through simple, easy-to-use endpoints.

Adding n1n API would benefit AI/gateway users by:

• Providing access to 400+ models through a single API key configuration
• Supporting all major models (OpenAI, Anthropic, Gemini, Llama, and many more)
• Offering competitive pricing with unified billing (some are lowest to 1/10 of the official price)
• Enabling easy model switching for different assistants without managing multiple API keys

Describe the solution you'd like

Integrate n1n API as an additional AI model provider in AI/gateway. n1n API is OpenAI-compatible (base URL: https://n1n.ai/v1/) and offers extended multimodal generation capabilities beyond standard text completion, including image, video, and audio generation endpoints.

Resources

Website: https://n1n.ai/ API Documentation: https://docs.n1n.ai/ Dashboard: https://n1n.ai/console Support: [email protected]

We are excited to contribute to the AI/gateway ecosystem and provide users with access to the latest AI models through our robust API platform. We look forward to collaborating with the AI/gateway maintainers and community to make this integration successful.

Context for your Request

We need more robust, region-diverse, and cost-effective LLM options in AI/gateway pipelines. Relying on a limited set of providers can cause issues during rate limiting, regional outages, or price-sensitive workloads. Adding n1n API as an OpenAI-compatible provider would improve availability, portability, and resilience without disrupting existing workflows.

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