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Skill

neon-ai-gateway

@neondatabase Updated 2026-10-23

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", and "log/rate-limit AI calls".

Install

With your agent

Install OMGSkills skill "neondatabase/agent-skills:skills/neon-ai-gateway" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/neondatabase/agent-skills /tmp/agent-skills && ln -s /tmp/agent-skills/skills/neon-ai-gateway ~/.claude/skills/neon-ai-gateway

From README

Neon AI Gateway 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. Use this skill to help the user send model calls through the gateway, wire it into the AI SDK or Mastra, and switch providers without rewiring code. Deliver a working inference request, a configured agent, or a precise answer from the official Neon docs.