KAITO
KAITO (Kubernetes AI Toolchain Operator) is an open-source operator suite that automates LLM model inference, fine-tuning, and Retrieval Augmented Generation (RAG) engine deployment in Kubernetes clusters. It simplifies the process of deploying large AI models through optimized preset configurations and integrates with Karpenter for GPU node auto-provisioning.
KAITO publishes 4 APIs on the APIs.io network, including Chat API, Index Management API, Persistence API, and 1 more. Tagged areas include AI, GPU, Inference, Kubernetes, and LLM.
KAITO’s developer surface includes documentation, getting-started guide, and 5 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
KAITO RAGEngine API
RAGEngine exposes endpoints for managing retrieval-augmented generation services with embedded vector databases, including document indexing, retrieval, and chat completion endp...
KAITO Chat API
OpenAI-compatible chat completions grounded in RAG indexes.
KAITO Index Management API
Create, list, and delete RAG indexes and their documents.
KAITO Persistence API
Persist indexes to storage or reload them.
KAITO Retrieval API
Retrieve relevant nodes from a RAG index.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
KAITO RAGEngine REST API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Kaito Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Kaito Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Kaito Finops
FINOPSAgentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type