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 6 more developer resources.

26.2/100 thin ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0
AccessFreemium
1 APIs
Artificial IntelligenceGPUInferenceKubernetesLLMMachine-LearningOpen-SourceOperatorRAG

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0
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.
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 →

Standards implemented 1

Interfaces this provider implements that became standards by being copied rather than ratified. Each is profiled by the API Commons, and the evidence column says how the claim was established — not that it was made.

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 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 2

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
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  generated: '2026-08-28'
  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
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: 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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