Portkey
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About
Portkey is a comprehensive LLMOps platform designed to simplify the transition from AI prototyping to production. It acts as a central control plane for generative AI applications, offering a suite of tools including an AI Gateway, observability dashboards, and prompt management. By providing a unified API that supports over 1,600 large language models, the platform allows developers to integrate various AI providers with just a few lines of code, eliminating the need to manage fragmented integrations and complex model-specific configurations. The platform’s core functionality revolves around its AI Gateway, which enhances application reliability through automated features like fallbacks, load balancing, and retries. Beyond orchestration, Portkey provides deep observability, allowing teams to monitor token usage, latency, and costs in real-time. It also includes Guardrails to ensure AI outputs remain within safe or desired parameters and a Prompt Management Studio for versioning and testing prompts in a dedicated environment without modifying application code. Portkey is specifically built for AI engineering teams and developers in startups and Fortune 500 companies who need to scale their GenAI workflows securely. It supports specific enterprise requirements like Role-Based Access Control (RBAC), SSO, and PII redaction to maintain data privacy. Its unique MCP Gateway also enables secure access to Model Context Protocol tools, helping teams centralize authentication and observability across diverse server environments. What distinguishes Portkey from other AI gateways is its focus on cost optimization and reliability. Features like semantic caching can significantly reduce API costs by preventing redundant model calls, while its open-source dataset ensures accurate, real-time pricing information across providers. Whether deploying on the cloud or self-hosting, the platform provides a robust infrastructure that ensures uptime and governance for mission-critical AI applications.
Pros & Cons
Integrates with over 1,600 LLMs through a single, unified API.
Reduces operational costs using advanced semantic and simple caching mechanisms.
Ensures high reliability with automated fallbacks, load balancing, and retries.
Provides deep observability with real-time tracking of tokens, latency, and costs.
Simplifies integration with a minimal footprint of just three lines of code.
The Developer plan only offers a limited log retention period of three days.
Semantic caching and advanced guardrails are locked behind paid tiers.
Free plan features are explicitly not intended for production-level workloads.
Enterprise-grade SSO and private cloud hosting require custom pricing.
Use Cases
Machine Learning Engineers can implement automated fallbacks and retries to maintain uptime during AI provider outages.
Product Managers can iterate and version AI prompts in the Prompt Management Studio without needing code changes.
FinOps Teams can monitor real-time AI expenditure across multiple departments and set strict budget alerts.
Security Officers can utilize PII redaction and RBAC to ensure sensitive data is not sent to external LLM providers.
Enterprise Developers can centralize access to hundreds of models while maintaining strict audit logs for compliance.
Platform
Task
Features
• role-based access control (rbac)
• ai gateway
• universal llm api
• model context protocol (mcp) gateway
• guardrails & pii redaction
• semantic caching
• prompt management studio
• real-time observability
FAQs
What is Portkey?
Portkey is a comprehensive platform designed to streamline AI integration for developers, offering an AI Gateway, observability, guardrails, and prompt management in one production-ready stack.
How many AI providers does Portkey support?
The platform supports a unified API that allows access to over 1,600 large language models (LLMs) across various providers, including OpenAI, Azure, and Anthropic.
Can Portkey be self-hosted?
Yes, Portkey offers an open-source version that teams can host themselves, as well as a managed SaaS version and enterprise deployment options like VPC hosting.
How does Portkey help reduce AI costs?
It provides intelligent simple and semantic caching to prevent redundant model calls, allows for budget limit setting, and offers detailed cost tracking per use case.
What happens if I exceed my request limits?
On the free Developer plan, requests still function but logs are no longer recorded. The Production plan charges an overage fee of $9 for every additional 100,000 requests.
Is Portkey compliant with data privacy regulations?
Portkey is built for enterprise security, offering HIPAA, GDPR, and SOC2 Type 2 compliance, along with features like PII redaction and data isolation.
Pricing Plans
Production
USD49.00 / per month• 100k recorded logs per month
• $9 overages per 100k requests
• 30 days log retention
• 90 days metrics retention
• Unlimited Prompt Templates
• LLM & Partner Guardrails
• Role-Based Access Control
• Simple & Semantic Caching
• Alerts & Metadata
Enterprise
Unknown Price• 10M+ recorded logs per month
• Custom retention periods
• Custom Guardrail Hooks
• SSO & Granular Budget Limits
• Private Cloud Deployment
• VPC Hosting
• SOC2 & HIPAA Compliance
• Dedicated Onboarding
• Priority Support
Developer
Free Plan• 10k recorded logs per month
• 3 days log retention
• 30 days metrics retention
• Universal API
• Fallbacks & Loadbalancing
• 3 Prompt Templates
• Playground & Versioning
• Deterministic Guardrails
• Community Support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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