Portkey

Portkey is an AI gateway and observability control plane that helps engineering, platform, and AI product teams route, monitor, govern, and manage production LLM traffic across 1,600+ models, with a free Developer tier, a $49/month Production tier, and custom-priced Enterprise options.

Portkey sits between an application and the model providers it uses, exposing an OpenAI-compatible API so teams can centralize model calls without rewriting application code for every provider SDK. The platform supports routing across OpenAI, Anthropic, Google, Mistral, AWS Bedrock, Azure OpenAI, Cohere, Together, Fireworks, Groq, and other model sources, which is useful when a team wants provider fallback, load balancing, model swaps, or rate limits at the gateway layer instead of inside every service. Its product surface covers 5 major production needs: AI gateway, prompt management, observability, guardrails, and MCP gateway governance for agent tool calls.

For day-to-day production work, Portkey is most relevant when multiple teams are shipping AI features and need shared controls. Prompt management includes versioning and A/B testing, so teams can test prompt changes and roll back without redeploying core application code. Observability provides per-request tracing and cost analytics, which helps platform teams understand model spend and debug failures across providers. Guardrails can be used for PII redaction and content filtering, while the MCP Gateway extends similar governance ideas to agent tool usage, not just model calls.

Compared to the other LLM gateway and observability tools in our directory, Portkey is more of a full AI control plane than a single-purpose tracing product. Helicone or Langfuse may be a lighter fit if a team mainly needs request logs, traces, or evaluation workflows around one or two providers. LiteLLM is often simpler for basic multi-provider API compatibility, while Portkey is stronger when routing policies, fallback chains, prompt operations, guardrails, cost analytics, team governance, and enterprise deployment options matter together. The tradeoff is that Portkey adds another operational layer between the application and the model, so teams should evaluate latency, availability dependency, pricing, and configuration complexity before standardizing on it.