Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Tabby Server, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Ftabbyml.com%2Ftabbyml" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Ftabbyml.com%2Ftabbyml" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Tabby Server API.
chat_completions
completion
event
health
Monitor Tabby Server operational status and events
GET STARTED
Patterns agents use Tabby Server API for, with concrete tasks.
★ E-Commerce Operations
Use the Tabby Server to perform e commerce operations programmatically. The API provides 4 endpoints covering core functionality including chat_completions, completion, event.
Call POST /v1/chat/completions to chat_completions
Automated Chat Management
Automate chat operations by combining multiple Tabby Server endpoints. Agents can completion and then event in a single workflow.
Call POST /v1/completions to completion, then verify the result
AI Agent Integration via Jentic
AI agents discover and call Tabby Server endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle bearer tokens manually.
Search Jentic for 'chat_completions', load the operation schema, and execute with Jentic-managed credentials
4 endpoints — [](https://github.com/TabbyML/tabby) [](https://links.tabbyml.com/join-slack) Install following IDE / Editor extensions to get started with [Tabby](https://github.com/TabbyML/tabby). * [VSCode Extension](https://github.com/TabbyML/tabby/tree/main/clients/vscode). The API exposes 4 endpoints secured with bearer authentication.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>