Portkey

Portkey

Portkey is a prompt management and orchestration platform for teams building production AI applications. It removes the need to hard-code prompts inside application code and gives developers a managed surface to version, test, and ship prompts independently — so changing a prompt no longer requires a deploy. Paired with production-ready agent workflows, it lets teams compose multi-step LLM behavior the same way they compose the rest of their software.

Prompt management means prompts become first-class artifacts: they can be edited, reviewed, rolled back, and A/B tested without touching the application. That separation is a big part of why Portkey resonates with the 3,000-plus GenAI teams already using the platform — it brings software-engineering discipline to a part of AI development that is too often a string literal buried in a release. The same platform supplies an AI Gateway to more than 1,600 models through a unified API, observability to monitor every call, guardrails to keep outputs in check, and governance to enforce policy, so prompt management sits inside a complete production stack rather than alongside it.

For teams building agents, Portkey turns the brittle pattern of chained LLM calls into something that can be monitored, retried, and governed end to end. Because the gateway handles caching, routing, and fallbacks, an agent that depends on several model calls gets reliability for free. The platform is open source and integrates with Microsoft Azure, MongoDB, GitHub, Docker, and Auth0, so it fits alongside existing tooling. By making prompts portable and agent workflows production-ready, Portkey lets AI teams iterate on behavior quickly while keeping the safety, observability, and governance that real deployments require.