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Portkey is a platform that gives AI teams all the tools they need to build and run their AI applications smoothly. It lets you connect to over 1,600 different AI models using one simple connection, helping you watch how your AI performs, keep it secure, manage costs, and handle your AI prompts efficiently, all in one place.

Free Option

About Portkey

Who It's For

Portkey is for AI teams, developers, and organizations building and running AI applications. It helps both startups and large companies manage their AI tools effectively. If you work with many different AI models, need project security, and want to manage costs, Portkey offers a unified solution.

What You Get

You receive a single platform to access and manage over 1,600 AI models. It includes tools to observe AI performance, set up data safeguards, govern access, and organize AI prompts. Intelligent caching saves money and boosts speed, plus you can test new AI ideas safely.

How It Works

Integrate Portkey quickly into your existing setup with just a few lines of code. It connects all your chosen AI models through one easy API. From a central dashboard, you monitor performance, adjust AI model usage, ensure security, and track costs in real-time, letting you focus on building.

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Features & Capabilities

๐Ÿ”— AI Gateway & Orchestration

Unified LLM Access

Access 1,600+ LLMs via a single API, simplifying model integration and management.

Easy Integration

Quickly integrate Portkey into existing stacks with minimal code changes (e.g., 3 lines of code).

AI Agent Workflow Support

Build and manage production-ready AI agent workflows with simplified tool calling via the MCP client.

Prompt Management

Centralize and manage prompts to ensure consistent AI outputs without hard-coding logic.

๐Ÿ“Š Real-time Observability & Analytics

LLM Behavior Monitoring

Monitor LLM interactions, detect anomalies, and proactively manage usage with a real-time dashboard.

Cost & Performance Tracking

Track AI model performance and costs in real time to optimize resource allocation and spending.

Detailed Activity Logs

Gain comprehensive visibility into all actions and resources with audit logs for easy monitoring and incident investigation.

๐Ÿ”’ Enterprise Governance & Security

Role-Based Access Control (RBAC)

Securely manage team collaboration and resource access with a hierarchical permission system.

PII Redaction

Automatically redact sensitive personal information from requests before processing by LLMs.

Single Sign-On (SSO)

Enable seamless and secure team onboarding while adhering to enterprise governance policies.

๐Ÿ’ธ Cost & Performance Optimization

Intelligent Caching

Reduce costs and improve response times by intelligently caching LLM responses that would otherwise run repeatedly.

Advanced Routing Strategies

Optimize LLM calls for latency and cost efficiency using dynamic routing strategies.

Budget Management

Set and enforce budget limits for AI usage to control expenses and prevent overspending across teams.

Use Cases

Streamlining Multi-LLM Integration and Development

AI developers often spend significant time integrating and managing various LLM APIs, hindering rapid prototyping and deployment. Portkey provides a unified API to access over 1,600 LLMs, drastically simplifying integration, eliminating boilerplate code, and accelerating the development and deployment of GenAI applications.

B2B SaaSFor: AI/ML Developers

Optimizing Production AI Performance, Reliability, and Costs

Operating GenAI applications at scale requires high uptime, efficient resource allocation, and strict cost control. Portkey's platform offers features like intelligent caching, smart routing, load balancing, real-time observability, and cost analytics, enabling MLOps teams and AI leaders to maintain performance, ensure reliability, and significantly reduce operational expenses.

EnterpriseFor: ML Ops Engineers

Ensuring Secure and Compliant AI Deployments at Scale

Enterprises face significant challenges in securing sensitive data, managing access, and ensuring compliance for their AI initiatives. Portkey provides comprehensive AI Governance tools, including PII redaction, role-based access control (RBAC), audit logs, and virtual keys, empowering organizations to deploy GenAI securely and meet regulatory requirements.

EnterpriseFor: CTOs

Building and Managing Production-Ready AI Agents

Developing and scaling sophisticated AI agents with complex tool-calling capabilities often leads to integration complexities and maintenance overhead. Portkey's MCP client and prompt management features simplify agent configurations and integrations, allowing AI development teams to efficiently build, deploy, and govern production-grade AI agent workflows.

AI Agent CompaniesFor: AI Agent Developers

Frequently asked questions

Portkey AI is a production-grade AI gateway and control panel that enables developers and organizations to access, manage, and monitor over 1,600 large language models (LLMs) from various providers through a unified API. It offers features like reliability, observability, guardrails, governance, and prompt management.

Portkey AI's main features include a unified API to access over 1,600 LLMs from different providers such as OpenAI, Anthropic, Bedrock, Groq, and xAI. It provides reliability through automatic retries, fallbacks, load balancing, and smart routing for high uptime. Observability features encompass real-time monitoring, logging, tracing, analytics, and cost tracking. Guardrails offer input/output checks, PII protection, and custom hooks for data security. Governance includes access controls, model restrictions, and usage policies. Prompt management involves centralized prompt templates and versioning. Additionally, it features intelligent caching to optimize performance and reduce costs, and canary testing to test new models and prompts without impacting production.

Setting up Portkey AI Gateway involves three straightforward steps: first, configure the Gateway by setting up your Portkey account and creating configurations for your desired LLM providers; second, send your first request using the Portkey client (such as Python, LangChain, Langroid, or CrewAI) to make requests through the gateway; and third, optimize routing and guardrails by fine-tuning routing rules, load balancing, and security guardrails for optimal performance.

Yes, Portkey AI integrates seamlessly with existing applications built on frameworks like CrewAI, LangChain, Langroid, and more. You only need to update your LLM configuration code to use Portkeyโ€™s gateway; the rest of your application code remains unchanged.

Portkey AI ensures reliability through smart routing, which dynamically switches between models and providers. It also uses automatic retries to rescue failed requests with configurable retry logic, load balancing to distribute traffic across multiple LLMs, and fallbacks that automatically route requests to backup models if primary models fail.

Portkey AI offers several security and compliance features, including virtual keys for secure API key management, guardrails to enforce input/output checks, PII protection, and custom hooks, access controls to restrict access to specific models and data, and audit logs for detailed compliance and monitoring.

Portkey AI optimizes costs through caching, which caches responses to reduce redundant API calls; usage tracking, which monitors and manages usage to stay within budget; and cost analytics, which provides real-time cost tracking and reporting.

Yes, Portkey AI supports canary testing, allowing you to test new models and prompts without impacting your production environment.

To get started with Portkey AI, first sign up for a Portkey AI account. Next, configure your gateway and set up your desired LLM providers. Then, use the Portkey client to make requests through the gateway. Finally, optimize your setup with routing, guardrails, and observability features.

More resources and support can be found in the Portkey AI Docs, the Portkey Developer Forum, the Portkey Cookbook GitHub Repository, and by joining the Portkey team on Discord for community support.

Portkey AI offers various pricing plans, including community-negotiated pricing for institutions. Check the official website or contact Portkey for detailed pricing information.

To handle errors and rate limits with Portkey AI, you can configure retry parameters and use virtual keys for better rate limit management, and set up usage policies and monitor rate limits through the Portkey dashboard.

Yes, Portkey AI supports integration with multiple LLM providers, allowing you to switch between models and providers seamlessly.

Guardrails can be set up through the Portkey dashboard or API by applying custom hooks for input/output checks, PII protection, and other security measures.

The default gateway URL is http://localhost:8787/public/, but this can be configured based on your setup.

Configurations can be updated anytime through the Portkey dashboard without affecting running applications.

Yes, Portkey AI supports image generation and other modalities through its unified API.

Portkey AI provides a real-time observability dashboard for monitoring, logging, tracing, and analytics of your AI usage.

Code examples and guides are available in the Portkey Cookbook and official documentation.

You can reach out to Portkey AI support through their developer forum or join their Discord community for real-time assistance.

Tags

Specifications

Deployment
Browser
API
Self-hosted
Cloud
Target Audience
Startup
Business
Enterprise
Complexity
Expert

Pricing

Developer

Per monthly

Free
  • Requests per Month: 10K
  • Overage: No Overage Allowed
  • AI Gateway: Universal API, Automatic Fallbacks, Loadbalancing, Automatic Retries, Request Timeouts, Automatic user attribution, Config Management, Virtual Keys & Key Management (With Budgeting support)
  • Simple Caching: 1 Day TTL Support
  • Observability: Logs, Privacy Mode, Traces, Feedback, Custom Metadata, Filters
  • Retention Period (Observability): 3 Days
  • Prompt Management: Upto 3 Templates, Playground, API Deployment, Versioning, Variable Management
  • Guardrails: Limited Access Eval Templates, Antonomous Fine-Tune, Continuous Improvement
  • Community Support

Production

Per monthly

$49
  • Includes all core features from the Developer plan
  • Requests per Month: 100K
  • Overage: $9/Month for Every 100K Up to 3M Requests
  • Simple Caching: Unlimited TTL Stream from Cache
  • Semantic Caching: Unlimited TTL Stream from Cache
  • Support for AWS, GCP, Azure Private LLM Deployments
  • Observability: Alerts
  • Retention Period (Observability): 30 Days
  • Prompt Management: Unlimited Templates
  • Guardrails: Unlimited Eval Templates
  • Security & Compliance: Advanced Role Based Access Control
  • Security & Compliance: Advanced Team Management
  • Production Support

Enterprise

Per monthly

Contact sales
  • Includes all features from the Production plan
  • Requests per Month: Custom
  • Overage: Custom Pricing
  • Retention Period (Observability): Custom
  • Security & Compliance: SSO with Okta Auth
  • Security & Compliance: SOC2, ISO27001, GDPR, HIPAA Compliance Certificates
  • Security & Compliance: PII Anonymizer
  • Security & Compliance: BAA Signing for Compliances
  • Security & Compliance: VPC Managed Hosting
  • Security & Compliance: Private Tenancy
  • Security & Compliance: Configurable Retention Periods
  • Security & Compliance: Configurable exports to datalakes
  • Security & Compliance: Org Management
  • Support: Dedicated Onboarding & Priority Support

Open Source

Per one-time

Free
  • Requests per Month: No Limit
  • Overage: No Overage Allowed
  • AI Gateway: Universal API, Automatic Fallbacks, Loadbalancing, Automatic Retries, Request Timeouts, Automatic user attribution, Config Management, Virtual Keys & Key Management (With Budgeting support)
  • Simple Caching: 1 Day TTL Support
  • Observability: Logs, Privacy Mode, Traces, Feedback, Custom Metadata, Filters
  • Retention Period (Observability): 3 Days
  • Prompt Management: Prompt Templates, Playground, API Deployment, Versioning, Variable Management
  • Guardrails: Eval Templates, Antonomous Fine-Tune, Continuous Improvement
  • Community Support

โœ“ Free plan โ€ข โœ“ Plans from $49 / monthly โ€ข โœ“ Enterprise options

Integrations

GitHub
OpenAI
MongoDB
Anthropic
Azure
Node.js

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