Portkey
The AI Gateway for Reliable, Fast & Secure AI Apps
Founded
2023
Starting Price
\u00240
Category
Developer Tools
Last updated March 10, 2026
About Portkey
Portkey is a unified AI gateway and control plane that lets developers route requests to 1,600+ LLMs from 60+ providers through a single API. It provides production-grade infrastructure with built-in observability, guardrails, caching, fallbacks, and load balancing — used by 24,000+ organizations processing 120M daily requests.
Pros & Cons
Pros
- Drop-in replacement for OpenAI SDK — takes 2 minutes to set up with minimal code changes
- Switch between 60+ providers and 1,600+ models without changing application code
- 99.99% uptime with automatic fallbacks, retries, and circuit breakers built-in
- Comprehensive observability with detailed logging and tracing for every LLM call
- Open-source gateway core (10.8K GitHub stars) can be self-hosted
Key Features
Universal AI Gateway
Route requests to 1,600+ models from 60+ providers through a single REST API and SDK
Automatic Fallbacks & Retries
Switch to alternate providers on failure with configurable retry logic and circuit breakers
AI Guardrails
40+ pre-built guardrails for input/output validation including prompt injection detection and PII filtering
Observability & Analytics
Full logging of multimodal requests with distributed tracing and 21+ key metrics, OpenTelemetry-compliant
Smart Caching
Simple and semantic caching layers that reduce costs and decrease latency for repeated queries
Load Balancing
Distribute requests across multiple API keys and providers with conditional routing rules
Budget & Rate Limits
Spending caps based on cost or token consumption with configurable rate limits
Pricing
Developer
\u00240/month
- 10,000 requests/month
- Core gateway features
- Community support
- Basic logging
Production
\u002449
Best For
Multi-Provider LLM Orchestration
Unify calls to multiple AI providers through a single API for simplified management and seamless switching
Production AI Reliability
Add automatic fallbacks and circuit breakers to ensure AI features stay online during provider outages
AI Cost Optimization
Use smart caching, budget limits, and load balancing to reduce LLM API spend
AI Safety & Compliance
Deploy guardrails for prompt injection prevention, PII detection, and output validation in regulated industries
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