Open-source gateway routing requests to 250+ LLMs through one API, with retries, fallbacks and load balancing.
MIT-licensed router with fallbacks, load balancing and guardrails you run yourself.
Portkey AI Gateway is a lightweight router that sends requests to many language model providers through one API. It suits developers who want fallbacks and load balancing without a hosted middleman.
The gateway routes to 250+ LLMs (the README also cites 1600+ models) with automatic retries, fallbacks, load balancing, conditional routing and guardrails. It runs locally with npx @portkey-ai/gateway, and the README says a 2.0 pre-release is merging Portkey's enterprise gateway into open source.
It suits developers and platform teams who want to control routing between providers. It does not suit anyone wanting dashboards and spend reports from the open-source repo alone, since Portkey sells its hosted and enterprise products separately.
Reach many providers through one API.
Automatic retries and fallback to another model on failure.
Spread requests across keys or models with conditional routing.
Apply checks to requests and responses.
Portkey documents MCP server management with auth and observability.
The README quotes a 122kb install size.
The gateway is free under MIT. Portkey also sells a hosted gateway and enterprise plans on portkey.ai; this repo carries no price.
870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
No. The repo is the open-source gateway; Portkey also sells hosted and enterprise versions.
Use npx @portkey-ai/gateway with Node.js and npm, or Docker.
A pre-release branch that merges Portkey's core enterprise gateway into the open-source project, per the README.
See Zekai first in Google