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Portkey

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Pricing from
$49 per month
Free Trial
Free version
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What is Portkey

Portkey is an LLMOps and generative AI infrastructure platform used to route, observe, and govern application traffic to large language model (LLM) providers. It targets engineering teams building AI features that need centralized API management, prompt/version controls, and production monitoring across multiple models. The product commonly sits between an application and one or more model endpoints to provide policy enforcement, analytics, and reliability controls such as fallbacks and rate limits.

pros

Centralized LLM gateway layer

Portkey provides a single control plane for managing calls to multiple LLM providers and deployments. This can simplify application architecture by standardizing authentication, request/response handling, and provider switching behind one interface. It is particularly useful when teams need to support multiple models or environments (dev/stage/prod) with consistent controls.

Observability for LLM traffic

Portkey focuses on capturing operational telemetry for LLM requests, such as latency, errors, and usage patterns. This supports production troubleshooting and capacity planning for AI features where model behavior and performance vary over time. Centralized logs and metrics also help teams compare providers and configurations using consistent instrumentation.

Reliability and routing controls

Portkey includes routing features such as fallbacks and traffic policies that help maintain service continuity when a provider degrades or rate limits occur. These controls can reduce the need to implement custom retry/failover logic in each application. For teams operating AI features at scale, this can improve operational consistency across services.

cons

Not a full ML platform

Portkey is oriented around LLM request management rather than end-to-end data science and model development workflows. Organizations looking for integrated data preparation, training, feature engineering, and broader MLOps capabilities may need additional platforms. As a result, it typically complements rather than replaces general-purpose AI/analytics suites.

Gateway adds dependency layer

Placing a gateway between applications and model providers introduces an additional component that must be deployed, secured, and monitored. Misconfiguration or outages at this layer can affect all downstream AI features. Some teams may prefer direct provider integrations for simpler, smaller-scale use cases.

Feature depth varies by use case

LLMOps needs differ widely (prompt lifecycle management, evaluation, red-teaming, governance, and compliance reporting). Depending on requirements, teams may find they still need separate tools for offline evaluation, dataset management, or advanced governance workflows. Fit depends on how much of the LLM lifecycle the organization expects one product to cover.

Plan & Pricing

Plan Price Key features & notes
Open Source (self-hosted) Free Open-source Portkey AI Gateway; deploy locally; connects to 250+ LLMs; community support; no vendor-managed request limits.
Developer (SaaS) Free Forever 10,000 recorded logs per month; 3 days log retention, 30 days metrics retention; AI Gateway, basic observability, Prompt Management (3 templates), simple caching, community support; no overage allowed.
Production $49/month 100,000 recorded logs per month; 30 days log retention, 90 days metrics retention; AI Gateway with fallbacks, load balancing, retries; unlimited prompt templates; RBAC & service account keys; production support; $9 overage per additional 100k requests (noted up to 3M in plan comparison).
Enterprise Custom pricing Built for high-volume/compliance needs; 10M+ recorded logs/month; custom retention periods; private cloud / VPC hosting; SOC2/GDPR/HIPAA support, custom BAAs; dedicated onboarding & priority support; contact sales.

Seller details

Portkey AI, Inc.
Unsure
Private
https://portkey.ai/
https://x.com/portkeyai
https://www.linkedin.com/company/portkeyai/

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