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 5 API contracts indexed on the APIs.io network, including Index Management API, Persistence API, Retrieval API, and 2 more. Tagged areas include Artificial Intelligence, GPU, Inference, Kubernetes, and LLM.

KAITO’s developer surface includes documentation, getting-started guide, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

21.0/100 emerging ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

AccessFreemium

1 published contract

Artificial Intelligence GPU Inference Kubernetes LLM Machine Learning Open Source Operator RAG

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Chat

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 21.0/100 · emerging

Contract Quality 7.5 / 19

Developer Ergonomics 3.2 / 15

Access Clarity 1.2 / 15

Operational Transparency 1.0 / 10

Contract Governance 0.0 / 9

Discoverability 4.3 / 8

Regulatory Posture 0.0 / 15

Create-or-Update Ergonomics 1.1 / 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 Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Artifact Hub Cloud-Native Packages	undeclared	-	-	2

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

The OpenAI Interface

declared — publishes a spec that declares them

2 core of 338 operations graded · api-commons/models

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 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.

KAITO Chat Completions API

OpenAI-compatible chat completions grounded in RAG indexes.

Open Collections 5

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

KAITO RAGEngine REST Chat API

OPEN COLLECTION

KAITO RAGEngine REST Chat Index Management API

OPEN COLLECTION

KAITO RAGEngine REST Chat Persistence API

OPEN COLLECTION

KAITO RAGEngine REST Chat Retrieval API

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 · 7 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Source Code

Source Code

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Installation

Installation

Source (apis.yml)

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
deliveryModel:
  model: unknown
  license_evidence:
    repo: kaito-project/kaito
    spdx: NOASSERTION
    stars: 1014
  open_source: unknown
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  - repository-unlicensed
  generated: '2026-09-25'
  method: derived
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
- Machine-Learning
- Open-Source
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 Search
  - 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-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
- aid: kaito:kaito-chat-completions-api
  name: KAITO Chat Completions API
  description: OpenAI-compatible chat completions grounded in RAG indexes.
  humanURL: https://kaito-project.github.io/kaito/docs/rag
  tags:
  - Chat Completions
  properties:
  - type: OpenAPI
    url: openapi/kaito-chat-completions-api-openapi.yml
common:
- type: Plans
  url: plans/kaito-plans-pricing.yml
- type: RateLimits
  url: rate-limits/kaito-rate-limits.yml
- type: FinOps
  url: finops/kaito-finops.yml
- type: CapabilityMap
  url: capabilities/kaito-capability-edges.yml
  name: KAITO Business Capability Map
- 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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