Portkey

Portkey is a comprehensive production stack designed for GenAI teams, providing everything needed to deploy and manage AI applications at scale. The platform offers a unified interface for accessing over 1,600 LLMs via a single API, along with built-in observability, guardrails, governance controls, and prompt management capabilities. Portkey processes billions of tokens daily and serves thousands of GenAI teams worldwide.

• AI Gateway provides a universal API to access 1,600+ LLMs from various providers, with automatic fallbacks, load balancing, retries, and request timeouts to ensure reliability and resilience in production environments.

• Observability Dashboard enables real-time monitoring of LLM behavior, tracking logs, traces, feedback, and custom metadata to catch anomalies early and manage usage proactively.

• Guardrails keep AI outputs in check with deterministic and LLM-based guardrails, including PII redaction to automatically remove sensitive data before requests reach the LLM.

• Prompt Management offers a prompt engineering studio with templates, playground, API endpoints, versioning, and variable management for collaborative prompt development.

• AI Governance provides role-based access control (RBAC), team management, SSO integration, budget limits, and granular rate controls to manage resources across multiple teams securely.

• MCP Gateway centralizes authentication, access, and observability of Model Context Protocol servers, enabling teams to deploy and govern MCP servers efficiently.

• Caching includes both simple and semantic caching options to reduce costs and improve response times by avoiding redundant API calls.

• Security & Compliance features SOC2 Type 2, ISO27001, GDPR, and HIPAA compliance with options for VPC hosting, private cloud deployment, and data isolation.

To get started, integrate Portkey in just 3 lines of code using the Python or Node.js SDK. Sign up for a free account, obtain your API key, and configure your preferred LLM provider. The platform adds minimal latency (20-40ms) while providing comprehensive monitoring, cost optimization, and reliability features for production AI applications.