AI gateway and observability platform for managing multiple LLM providers with routing, fallbacks, and cost optimization.
A control panel for managing all your AI providers — switch models, add fallbacks, and monitor costs from one dashboard.
Portkey AI is a comprehensive AI gateway platform that provides unified access to multiple LLM providers with advanced routing, fallback mechanisms, and cost optimization capabilities. Unlike simple API wrappers, Portkey offers intelligent request routing, automatic failover, and detailed analytics across providers including OpenAI, Anthropic, Google, and dozens of others.
The platform's smart routing engine can automatically select the optimal model for each request based on cost, performance, availability, and custom business rules. Portkey supports sophisticated fallback chains, ensuring high availability even when individual providers experience outages or rate limiting.
Portkey includes comprehensive observability features with real-time monitoring, cost tracking, performance analytics, and quality assessment across all LLM providers. The platform provides detailed insights into token usage, response times, error rates, and cost attribution by application, user, or business unit.
For production deployments, Portkey offers advanced features including request caching, response streaming, custom prompt templating, and integration with popular AI frameworks. The platform supports both cloud-hosted and on-premises deployment options for organizations with strict data privacy requirements.
Portkey excels in scenarios where applications need to leverage multiple LLM providers for cost optimization, reliability, or performance requirements. Enterprise teams use it to avoid vendor lock-in while optimizing costs and ensuring high availability for business-critical AI applications.
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AI gateway and observability platform for managing multiple LLM providers with routing, fallbacks, and cost optimization.
AI-powered routing engine that automatically selects optimal models based on cost, performance, availability, and custom business rules with real-time optimization.
Use Case:
Automatically routing simple customer service queries to cost-effective models while directing complex analysis tasks to premium models, optimizing both cost and quality.
Sophisticated fallback mechanisms with automatic retry logic, provider health monitoring, and seamless failover to ensure high availability.
Use Case:
Configuring ChatGPT → Claude → Gemini fallback chains so applications continue functioning even during provider outages or rate limiting.
Detailed cost tracking, attribution, and optimization recommendations across all providers with budget alerts and spending forecasts.
Use Case:
Tracking LLM costs by department, application, and user to identify optimization opportunities and prevent budget overruns.
Intelligent response caching, request deduplication, and performance optimization to reduce costs and improve response times.
Use Case:
Caching frequent customer service responses and common queries to reduce API calls while maintaining response quality.
Real-time monitoring, alerting, and analytics for LLM applications with performance tracking, error analysis, and quality metrics.
Use Case:
Monitoring AI agent performance across multiple models, detecting quality degradation, and alerting on anomalous usage patterns.
Data encryption, audit logging, access controls, and compliance features for enterprise deployments with on-premises options.
Use Case:
Ensuring sensitive customer data never leaves corporate infrastructure while still accessing multiple LLM providers for different use cases.
Free
month
$49.00/month
month
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View Pricing Options →Enterprise applications requiring high availability across multiple LLM providers
Cost-sensitive applications needing automated optimization across different models
Production systems requiring detailed observability and monitoring across providers
Organizations wanting to avoid vendor lock-in while maintaining consistent APIs
Portkey AI works with these platforms and services:
We believe in transparent reviews. Here's what Portkey AI doesn't handle well:
Portkey can encrypt data in transit and at rest, supports on-premises deployment, and provides audit trails. For maximum privacy, use the on-premises version which processes requests locally while still providing multi-provider capabilities.
Yes. Portkey's routing engine can automatically select the most cost-effective model for each request type based on quality requirements, response time needs, and budget constraints, with continuous optimization based on usage patterns.
Portkey provides high availability with multiple region deployments. For maximum reliability, the on-premises version eliminates dependency on Portkey's infrastructure while maintaining all routing and optimization features.
Portkey provides enterprise features like advanced routing, caching, observability, and fallback chains that LiteLLM doesn't offer. LiteLLM is simpler for basic multi-provider access; Portkey is better for production applications requiring reliability and optimization.
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