Portkey

Overview

Portkey is an AI gateway and production stack for building and operating generative AI applications and agents. It provides a single API to route requests across more than 1,600 large language models from providers such as OpenAI, Anthropic, Google, AWS, Azure, Mistral, Groq, Cohere, Together, Ollama, vLLM, and custom endpoints, while adding reliability, observability, governance, and security controls.

The platform targets AI engineering teams and enterprises that want to move from prototypes to production‑grade AI workflows, copilots, and agents. It stands out by combining model routing, MCP (Model‑Control‑Protocol) tool integration, built‑in guardrails, observability, and prompt management in one unified control plane, reducing the need for provider‑specific code and manual integration.

Key Features

• Single API for 1600+ LLMs - Route requests to multiple providers and models through one consistent API without rewriting client logic.
• MCP Gateway and tool integration - Connect LLMs with tools and data sources using the MCP standard protocol for agent workflows.
• Enterprise observability - Real‑time analytics on cost, latency, tokens, errors, cache hits, and user activity across all models.
• Guardrails and security - Built‑in and configurable guardrails to block prompt injection, PII leakage, malicious outputs, and unbounded consumption attacks.
• Governance and RBAC - Organization‑ and workspace‑level role‑based access control, budgets, rate limits, and spend caps.
• Regional inference routing - Route model calls to specific regions or providers to meet latency and compliance requirements.
• Zero‑downtime model switching - Switch models or providers without changing application code or causing service interruptions.
• Prompt management - Centralized management and versioning of prompts used across applications and teams.

Pricing

Platforms & Requirements

Portkey is a web‑based platform accessed via a hosted gateway and API; there is no separate desktop or mobile client. Users integrate it into their applications by routing LLM calls through Portkey’s inference API endpoints, which can be used from any environment that can make HTTP requests. The open‑source gateway component can be self‑hosted, but production deployments typically rely on Portkey’s managed service for observability and security features.

Integrations & Ecosystem

• OpenAI
• Anthropic
• Google Cloud AI
• AWS Bedrock
• Azure OpenAI
• Mistral
• Groq
• Cohere
• Together
• Ollama
• vLLM
• Prisma AIRS guardrails
• OpenTelemetry

Alternatives

Reputation

Portkey is generally regarded as a practical gateway for teams that want to unify access to many LLM providers while adding observability and governance. Users highlight its ability to simplify multi‑provider routing, provide clear cost and latency analytics, and integrate security guardrails such as Prisma AIRS. Some feedback notes that advanced enterprise features and pricing are opaque and require direct sales contact, and that the platform’s value is most apparent at scale rather than for small or single‑model use cases.