Portkey
Free tierProduction stack for Gen AI builders — AI Gateway, Observability, Guardrails & more
Free tier available·Technical·API available·Open source
Key strengths
Unified API access to 1,600+ LLMs via a single AI GatewayReal-time LLM observability, logging, and anomaly detectionBuilt-in guardrails and AI governance controlsPrompt management without hard-coded promptsOpen-source core with plug-and-play 3-line integration
Free tier + paid plans
San Francisco, USA
Founded 2023
Self-hostable
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- Multi-LLM routing & fallback: Configure automatic failover between providers (e.g., OpenAI → Anthropic) using JSON-based gateway configs to ensure 99.9%+ uptime for AI-powered applications.
- LLM cost optimization via caching: Enable semantic or exact-match caching to avoid redundant LLM calls, dramatically reducing token spend on repeated or similar queries (e.g., CI/CD test suites).
- Production observability & debugging: Stream all LLM request/response pairs with metadata to Portkey's logging system; query, filter, and trace calls to diagnose latency spikes or unexpected outputs.
- Prompt versioning & A/B testing: Store prompts in Portkey's Prompt Management system, reference them by slug in code, and roll out new versions or run experiments without redeployments.
- Agent & MCP tool security: Use the MCP Gateway to centralize authentication and access control for all Model Context Protocol tool servers used by AI agents.
- Governance & access control: Define per-team or per-user LLM usage policies, rate limits, and audit logs to enforce organizational AI governance requirements.