Portkey AI
AI gateway and observability platform for managing LLM API calls with fallbacks, caching, and cost tracking.
What is Portkey AI?
AI Gateway for LLM API Management
Portkey AI is an AI gateway and observability platform that sits between your application and LLM providers, adding a critical infrastructure layer for managing API calls with features like fallbacks, load balancing, caching, and cost tracking. It gives engineering teams the reliability and visibility controls needed to run LLM-powered applications in production at scale.
Production LLM Reliability
LLM APIs suffer from rate limits, outages, and inconsistent latency. Portkey addresses these production concerns by routing requests intelligently โ automatically falling back to alternative models or providers when the primary fails, load balancing across API keys to avoid rate limits, and caching repeated requests to reduce both cost and latency. These features dramatically improve the reliability of LLM-powered applications.
- Automatic fallback routing across LLM providers
- Load balancing across multiple API keys
- Semantic caching to reduce redundant LLM calls
- Unified observability across all LLM providers
- Guardrails for input/output filtering and safety
Cost and Performance Optimization
Portkey's caching layer stores semantically similar requests and returns cached responses instead of making new LLM calls, directly reducing API costs. Its detailed analytics break down spending by model, feature, user, and team โ giving engineering leaders the visibility needed to optimize LLM costs as usage scales.
Key Features
Routes to backup providers automatically when primary LLM fails or rate-limits.
Distributes requests across API keys and providers to maximize throughput.
Caches semantically similar requests to reduce API costs and improve latency.
Single dashboard for monitoring all LLM API calls across every provider.
Filter and validate LLM inputs and outputs for safety and quality standards.
Who Uses Portkey AI?
Add reliability and failover to LLM-powered apps to prevent user-facing outages.
Reduce LLM API costs through semantic caching and intelligent routing.
Track and budget LLM API spend across multiple teams and products.
A/B test different LLM providers and models in production with routing controls.
Pros & Cons
โ Pros
- Automatic fallbacks are critical for production reliability with LLM APIs
- Semantic caching provides measurable cost savings for apps with repeated queries
- Unified observability across providers simplifies multi-LLM cost management
- Load balancing across API keys solves the rate limit problem at scale
- Freemium model lets teams evaluate before committing to paid plans
โ Cons
- Adds latency overhead as an additional network hop for all LLM calls
- Caching effectiveness depends heavily on application query patterns
- Teams heavily invested in a single LLM provider get less value from routing features
Portkey AI Pricing
Free
- 10,000 requests/month
- Basic gateway
- Observability
- Community support
Pro
- 500,000 requests/month
- Caching
- Guardrails
- Priority support
Enterprise
- Unlimited requests
- SLA
- Dedicated infrastructure
- Custom support
Portkey AI earns a 3.5/5 rating from our editorial team. Its generous free tier lets you explore core features before upgrading, making it a low-risk choice for individuals and teams. Standout strengths include automatic fallbacks are critical for production reliability with llm apis and semantic caching provides measurable cost savings for apps with repeated queries.
Get Started with Portkey AI โ