
One API and one credential for frontier and open-source LLMs and embedding models, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, generate embeddings, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, and more), or avoid juggling separate provider API keys and accounts — especially when they already use Neon and want AI requests to branch with their project. Works with the OpenAI SDK, Anthropic SDK, google-genai, the Vercel AI SDK, and Mastra by changing only the base URL. Triggers include "call an LLM", "add AI to my app", "chat completion", "model routing", "LLM proxy/gateway", "one API for all models", "use Claude/GPT/Gemini", "AI SDK", "Mastra agent", "Neon AI Gateway", "generate embeddings", "generate images", and "log/rate-limit AI calls".
$ npx -y skills add neondatabase/agent-skills --skill neon-ai-gateway --agent claude-codeInstalls into .claude/skills of the current project.
FIRST: Use the parent neon skill for a Neon overview, getting started with Neon, Neon development best practices, and more.
If the neon skill is not installed, fetch it from https://neon.com/docs/ai/skills/neon/SKILL.md or install it with:
neon skills -s neon -y
Currently available in aws-us-east-2, aws-us-east-1, aws-eu-central-1, and aws-ap-southeast-1.
The Neon AI Gateway brings LLM and embedding inference to your Neon branch. One API and one Neon credential give you access to frontier and open-source models from many providers (Anthropic, OpenAI, Google, Meta, and more), plus embedding models, all hosted and powered by Databricks. The catalog shifts over time, so treat /v1/models and the models.dev Neon page as the source of truth rather than a fixed provider list. For embedding model IDs and dimensions, see the embeddings guide. Your existing OpenAI/Anthropic/Gemini SDK works by changing only the base URL.
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