Tabby
Tabby is an open-source, self-hosted AI coding assistant - a privacy-first alternative to GitHub Copilot from TabbyML (Apache-2.0). You run the Tabby server yourself (Docker, a consumer-grade GPU, or your own cloud); there is no shared multi-tenant API and no external calls to third parties. The server exposes an OpenAPI-documented REST surface (Swagger UI at /swagger-ui, spec at /api-docs/openapi.json) for code completion, OpenAI-compatible chat completions, an Answer Engine backed by a doc-ingestion knowledge base, health, model registry, and telemetry events. Because it is self-hosted, the base URL is your own instance (default http://localhost:8080). TabbyML also offers hosted Team and Enterprise plans.
Tabby publishes 6 APIs on the APIs.io network, including Chat API, Completions API, Events API, and 3 more. Tagged areas include AI Coding Assistant, Code Completion, Open Source, Developer Tools, and LLM.
Tabby’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Tabby Chat API
OpenAI-compatible chat completions and inline chat / Answer Engine.
Tabby Completions API
Code completion endpoint powering Tabby's IDE plugins.
Tabby Events API
Client telemetry event logging.
Tabby Health API
Server health and settings.
Tabby Ingestion API
Doc ingestion into the Answer Engine knowledge base.
Tabby Models API
Model registry configured on the server.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Tabby Server API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Tabby Ml Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Tabby Ml Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API