Portkey AI
Control Center for AI Apps.
Overview
Portkey AI provides a suite of tools to help developers manage and observe their AI applications. It acts as an AI gateway, offering features like a unified API for multiple LLM providers, semantic caching, automated fallbacks, and retries. It also includes an observability platform to track requests, costs, and performance, helping teams to build more reliable and cost-effective AI products.
✨ Key Features
- AI Gateway with unified API
- Observability and logging
- Semantic caching to reduce costs
- Automated fallbacks and retries
- Prompt management and versioning
- Cost management and alerts
- Load balancing across multiple models/providers
🎯 Key Differentiators
- AI Gateway functionality (fallbacks, retries, load balancing)
- Semantic caching
- Unified API for multiple LLM providers
Unique Value: Provides a robust AI gateway that makes applications more reliable and cost-effective, combined with an integrated observability suite.
🎯 Use Cases (5)
✅ Best For
- Using fallbacks to improve application uptime
- Implementing semantic caching for customer support chatbots
- Centralized cost and usage monitoring for multi-provider LLM apps
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Teams that only use a single, stable LLM provider and do not need gateway features
- Users looking for deep model evaluation and fairness monitoring
🏆 Alternatives
Offers more advanced gateway features like semantic caching and fallbacks compared to simpler logging proxies like Helicone. It is more focused on production reliability than development-centric platforms like Langfuse.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Up to 10,000 requests/month
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