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KrakenDAI

KrakenDAI is the AI Gateway for KrakenD. It unifies LLM access, routing and governance, giving teams a single control plane for AI and API traffic inside microservice architectures.
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KrakenDAIKrakenD AI GatewayLLM routingunified LLM APIAPI aggregationMCP gatewayAI traffic managementmicroservice AI gateway

Features of KrakenDAI

Single entry-point that aggregates multiple back-end APIs and AI services.
One-size-fits-all LLM interface removes provider-specific integration pain.
LLM routing rules split traffic across single or multiple model providers.
Prompt & response governance for security guardrails and operational policies.
Request transformation, field filtering and response orchestration to normalise data.
Stateless design scales out on Docker, Kubernetes or bare-metal Linux.
Transparent MCP Gateway forwarding with optional auth and policy enforcement.
Docs, Playground, community forum and enterprise support for the full DevOps loop.

Use Cases of KrakenDAI

Unify several LLM providers behind one endpoint and route by policy.
Surface AI and business APIs through a single BFF in microservice stacks.
Apply prompt/output rules to enforce AI governance and compliance.
Proxy MCP agent-to-server traffic transparently through the gateway.
Run stateless gateway for elastic AI workload management on Kubernetes.
Move from dev to prod with CE/EE roadmap and support channels.
Track CVEs such as gRPC patches and schedule upgrades accordingly.

FAQ about KrakenDAI

QWhat is KrakenDAI?

KrakenDAI is KrakenD’s AI Gateway: one place to connect, route and govern any LLM.

QHow is KrakenDAI related to KrakenD?

It’s the AI-oriented extension of KrakenD API Gateway, built on the same core.

QWhich problems does KrakenDAI solve?

It unifies model access, simplifies multi-backend calls, enforces AI traffic policies and improves ops visibility.

QCan KrakenDAI route between different model providers?

Yes—LLM Routing lets you split requests across single or multiple providers with declarative rules.

QWhat kind of AI governance is supported?

You can apply policies to prompts and responses for security, compliance and operational guardrails.

QIs there an open-source or enterprise edition?

KrakenD ships CE (open-source) and EE (enterprise); AI Gateway features work with both.

QHow do I deploy KrakenDAI to production?

Deploy the stateless container on Linux, Docker or Kubernetes and load your route/policy config.

QWhere are security updates published?

Release notes on the official site list patches and CVE fixes—e.g. recent gRPC security updates.

QIs KrakenDAI free?

Start with CE at no cost; upgrade to EE for commercial support and advanced features.

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