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Portkey

AI gateway that gives teams one API to many LLMs, plus observability, guardrails, governance, prompt management and an MCP gateway for running AI apps in production.

Observability & evalsModel APIsAI security & guardrails

What it does

Portkey is described on its site as a production stack for teams building with generative AI. Its gateway offers a unified API to more than 1,600 models, and the home page shows a short code sample using its Node.js SDK in place of calling a provider directly. Around the gateway sit observability dashboards for usage, cost and latency, guardrails, prompt management and a model catalog. For larger organizations, the site lists role-based access control, single sign-on, budget limits, activity and audit logs, and automatic redaction of sensitive data before requests reach a model. An MCP gateway centralizes authentication, access and observability for MCP servers. The site also says it has open-sourced the LLM pricing dataset it uses internally. The home page now announces that Portkey is the PRISMA AIRS AI Gateway, generally available for enterprises. Pricing is on a separate page that was not read, so it is not verified here.

Capabilities

  • Unified API to more than 1,600 LLMs
  • Observability for usage, cost and latency
  • Guardrails and automatic redaction of sensitive data
  • Prompt management and a model catalog
  • Access control, single sign-on, budgets and audit logs
  • MCP gateway for authentication and observability of MCP servers

When to use it

  • You want to call models from many providers through one API
  • You need to track and cap LLM usage and cost across teams
  • You must apply guardrails or redact sensitive data before requests reach a model
  • You need central access control over models and MCP servers