LocalAI
LocalAI is the open-source, self-hosted AI inference engine that acts as a drop-in replacement for the OpenAI and Anthropic REST APIs. A single Go binary (or container) exposes 123 HTTP operations across chat completions, completions, embeddings, image and video generation, 3D generation, text-to-speech, speech-to-text, audio classification and diarization, object detection, depth estimation, reranking, moderation, tokenization, face and voice recognition, and the OpenAI Realtime API over WebSocket and WebRTC — all running locally on CPU or GPU with no external API calls and no data leaving the host. Beyond OpenAI parity, LocalAI ships its own management surface: a model and backend gallery, P2P and federated distributed inference, an agent/job runtime with a Skills system and Agent Hub, request middleware for NER-based PII redaction and policy-based intelligent model routing, tracing, per-user usage accounting, and a first-party stdio MCP server (`local-ai mcp-server`) that exposes the admin surface as agent tools. Authentication spans legacy shared API keys through a full user system with roles, sessions, GitHub OAuth and OIDC single sign-on. Distributed under the MIT licence by Ettore Di Giacinto (mudler) and community contributors.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles LocalAI the way a machine reads it — 33 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — LocalAI scores 39.1/100 (thin), with a separate agent-readiness read of 29/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-01 · rubric v0.18.0
Put this on your own site. The badge is drawn live from LocalAI's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/localai/"
title="LocalAI on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/localai.svg"
alt="LocalAI Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/localai/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/localai/"
title="LocalAI on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/localai/card.svg"
alt="LocalAI Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile LocalAI
Each block below is one kind of artifact we hold for LocalAI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 26
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
LocalAI 3d API
The 3d API from LocalAI — 2 operation(s) for 3d.
LocalAI Agent Jobs API
The agent-jobs API from LocalAI — 7 operation(s) for agent-jobs.
LocalAI Audio API
The audio API from LocalAI — 14 operation(s) for audio.
LocalAI Backends API
The backends API from LocalAI — 11 operation(s) for backends.
LocalAI Branding API
The branding API from LocalAI — 3 operation(s) for branding.
LocalAI Config API
The config API from LocalAI — 6 operation(s) for config.
LocalAI Depth API
The depth API from LocalAI — 1 operation(s) for depth.
LocalAI Detection API
The detection API from LocalAI — 1 operation(s) for detection.
LocalAI Embeddings API
The embeddings API from LocalAI — 1 operation(s) for embeddings.
LocalAI Face Recognition API
The face-recognition API from LocalAI — 6 operation(s) for face-recognition.
LocalAI Images API
The images API from LocalAI — 3 operation(s) for images.
LocalAI Inference API
The inference API from LocalAI — 7 operation(s) for inference.
LocalAI Instructions API
The instructions API from LocalAI — 2 operation(s) for instructions.
LocalAI MCP API
The mcp API from LocalAI — 1 operation(s) for mcp.
LocalAI Models API
The models API from LocalAI — 10 operation(s) for models.
LocalAI Moderation API
The moderation API from LocalAI — 1 operation(s) for moderation.
LocalAI Monitoring API
The monitoring API from LocalAI — 16 operation(s) for monitoring.
LocalAI Nodes API
The Nodes API from LocalAI — 3 operation(s) for nodes.
LocalAI P2p API
The p2p API from LocalAI — 2 operation(s) for p2p.
LocalAI Pii API
The pii API from LocalAI — 2 operation(s) for pii.
LocalAI Rerank API
The rerank API from LocalAI — 1 operation(s) for rerank.
LocalAI Router API
The router API from LocalAI — 3 operation(s) for router.
LocalAI Tokenize API
The tokenize API from LocalAI — 4 operation(s) for tokenize.
LocalAI Video API
The video API from LocalAI — 1 operation(s) for video.
LocalAI Voice Profiles API
The voice-profiles API from LocalAI — 3 operation(s) for voice-profiles.
LocalAI Voice Recognition API
The voice-recognition API from LocalAI — 6 operation(s) for voice-recognition.
Scroll within the panel for all 26 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
LocalAI Assistant MCP server
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Localai Rate Limits
RATE LIMITSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
LocalAI Realtime API
The LocalAI Realtime API — an OpenAI Realtime-compatible, low-latency, multi-modal (voice and text) conversation surface carried over WebSocket, with an alternative WebRTC trans...
ASYNCAPISecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for LocalAI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/localai · machine-readable index on apis.io
This is an independent, third-party profile of LocalAI, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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