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The Production AI Platform for LLM Teams

Route, observe, and govern every LLM call with reliability, speed, and control built in from day one. Portkey is being acquired by Palo Alto Networks to secure the rise of AI agents.

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Portkey AI Platform

Portkey AI Product Suite

Eight integrated modules covering every layer of your AI stack from gateway routing to agent governance.

Observability

Full-stack LLM monitoring with real-time insights, request tracing, cost attribution, and eval pipelines for every AI interaction.

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AI Gateway

Enterprise-grade gateway connecting 1,600+ LLMs with intelligent routing, fallbacks, semantic caching, and retries.

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Guardrails

Real-time input/output filtering PII detection, content moderation, and custom logic enforced at the gateway layer.

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Prompt Engineering

Version, test, and deploy prompts from a centralised library A/B test models and iterate without touching your codebase.

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Agents

Full support for agentic workflows multi-step traces, tool call logging, agent-level access control, and MCP governance.

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Security & Compliance

SOC 2 certified infrastructure, virtual key management, PII protection, and full audit trails for LLM deployments.

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MCP Gateway

Secure, observable Model Context Protocol gateway govern every tool call your agents make across any MCP server.

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Model Catalog

Browse and compare 1,600+ models across providers with cost, latency, context window, and capability benchmarks.

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Why Production AI Teams Choose Portkey

Building with LLMs is easy. Running them reliably at scale with cost control, observability, and security is where most teams hit a wall.

  • 99.99% uptime with automatic fallbacks across 200+ providers
  • Reduce LLM costs 40–70% with semantic caching and budget guardrails
  • Full request and agent trace observability no manual instrumentation
  • SOC 2 Type II certified managed cloud or self-hosted deployment
  • OpenAI-compatible API deploy in minutes, not weeks
  • Open source core with 11,600+ GitHub stars
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Portkey Observability Dashboard