KAITO website screenshot

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 Artificial Intelligence, GPU, Inference, Kubernetes, and LLM.

KAITO’s developer surface includes documentation, getting-started guide, and 5 more developer resources.

26.3/100 thin ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0
AccessFreemium
5 APIs
Artificial IntelligenceGPUInferenceKubernetesLLMMachine-LearningOpen-SourceOperatorRAG

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0
Composite quality — 26.3/100 · thin
Contract Quality 11.1 / 25
Developer Ergonomics 4.3 / 20
Access Clarity 3.2 / 20
Operational Transparency 1.4 / 13
Contract Governance 0.0 / 12
Discoverability 6.5 / 10
Agent readiness — 17/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Surface 0 / 5
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/kaito: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

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 6

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

KAITO RAGEngine REST API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Kaito Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Kaito Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Kaito Finops

FINOPS

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Kaito Agentic Access

9 operations · 8 acting

9 operations · 8 acting

AGENTIC

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

Source (apis.yml)

apis.yml Raw ↑
aid: kaito
name: KAITO
description: 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.
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/kaito.png
tags:
- Artificial Intelligence
- GPU
- Inference
- Kubernetes
- LLM
- Machine-Learning
- Open-Source
- Operator
- RAG
tags_raw:
- AI
- GPU
- Inference
- Kubernetes
- LLM
- Machine Learning
- Open Source
- Operator
- RAG
url: https://raw.githubusercontent.com/api-evangelist/kaito/refs/heads/main/apis.yml
created: '2025-01-01'
modified: '2026-04-28'
specificationVersion: '0.23'
apis:
- aid: kaito:rag-engine
  name: KAITO RAGEngine API
  description: RAGEngine exposes endpoints for managing retrieval-augmented generation services with embedded vector databases,
    including document indexing, retrieval, and chat completion endpoints.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Artificial Intelligence
  - RAG
  - Vector Database
  - Inference
  tags_raw:
  - AI
  - RAG
  - Vector Database
  - Inference
  properties:
  - type: Documentation
    url: https://kaito-project.github.io/kaito/docs/rag
  - type: GitHub
    url: https://github.com/kaito-project/kaito
- aid: kaito:kaito-chat-api
  name: KAITO Chat API
  description: OpenAI-compatible chat completions grounded in RAG indexes.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Chat
  properties:
  - type: OpenAPI
    url: openapi/kaito-chat-api-openapi.yml
- aid: kaito:kaito-index-management-api
  name: KAITO Index Management API
  description: Create, list, and delete RAG indexes and their documents.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Index Management
  properties:
  - type: OpenAPI
    url: openapi/kaito-index-management-api-openapi.yml
- aid: kaito:kaito-persistence-api
  name: KAITO Persistence API
  description: Persist indexes to storage or reload them.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Persistence
  properties:
  - type: OpenAPI
    url: openapi/kaito-persistence-api-openapi.yml
- aid: kaito:kaito-retrieval-api
  name: KAITO Retrieval API
  description: Retrieve relevant nodes from a RAG index.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Retrieval
  properties:
  - type: OpenAPI
    url: openapi/kaito-retrieval-api-openapi.yml
common:
- type: AgenticAccess
  url: agentic-access/kaito-agentic-access.yml
- type: Website
  url: https://kaito-project.github.io/kaito/
- type: Documentation
  url: https://kaito-project.github.io/kaito/docs/
- type: Installation
  url: https://kaito-project.github.io/kaito/docs/installation
- type: GettingStarted
  url: https://kaito-project.github.io/kaito/docs/quick-start
- type: GitHubOrganization
  url: https://github.com/kaito-project
- type: Source Code
  url: https://github.com/kaito-project/kaito
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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