AI gateway and unified API
Route model traffic through a unified API so teams can manage access to multiple LLMs without wiring each provider separately.
Portkey is a production AI platform for Gen AI teams with a unified gateway, observability, guardrails, and prompt management.
Portkey is a production stack for Gen AI builders. It combines an AI gateway, observability, guardrails, governance, and prompt management in one platform for teams that want to move AI applications into production and manage them from a central control plane.
The site presents Portkey as a unified API and control panel for production AI, with plans that range from a free tier for prototyping to production and enterprise offerings. Across the product pages, the platform is positioned around routing model traffic, recording AI interactions, applying guardrails, and giving teams visibility into usage and cost.
Route model traffic through a unified API so teams can manage access to multiple LLMs without wiring each provider separately.
Record requests, responses, traces, feedback, custom metadata, and filters so teams can inspect model behavior and debug failures.
Use guardrails to safeguard requests and apply LLM or partner guardrails as part of the production workflow.
Create, version, and reuse prompt templates with playgrounds, API endpoints, and variables for prompt management.
Support fallbacks, load balancing, retries, request timeouts, caching, and virtual keys for operational control.
Use role-based access control, service account API keys, and enterprise governance options for team operation.
Connect an application to multiple LLM providers through a single API so model access is easier to manage and switch between providers without rewriting every integration.
Inspect logs, traces, feedback, and metadata to understand performance issues, debug errors, and monitor how LLM interactions behave in production.
Apply guardrails and routing controls such as fallbacks, retries, and load balancing to keep requests within production policies and improve reliability.
Manage prompt templates, versions, variables, and playground testing so teams can iterate on prompts before shipping them into application workflows.
Use enterprise governance options such as role-based access control, SSO, and deployment choices when an organization needs stricter operational controls.
Portkey is an AI gateway and production control plane for Gen AI applications. It combines gateway routing, observability, guardrails, and prompt management in one platform.
The pricing page shows a Free plan, a Production plan at $49 per month, and an Enterprise plan with custom pricing. The Free plan is positioned for prototyping and testing, while production and enterprise plans add more governance and support features.
The site describes Portkey as accessible through a unified API and as a control panel for production AI. It is designed for teams that want to route requests, inspect logs and traces, manage prompts, and apply guardrails from one place.
The observability page says Portkey records each request and response with detailed logging, tracing, feedback, and metrics. The gateway page also highlights routing, fallbacks, load balancing, retries, and API/key management.
The pricing page notes that the Enterprise plan supports private cloud deployment, VPC hosting, data export to data lakes, SSO, and advanced compliance features. It also says the Free and Production plans do not target organizations that need custom security controls or data residency guarantees.
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