Jentic publishes the only available OpenAPI specification for AI/ML API, keeping it validated and agent-ready. AI/ML API is a unified inference platform that exposes chat completions, completions, embeddings, image generation, audio transcription, and text-to-speech behind a single Bearer-authenticated REST surface modelled on OpenAI conventions. The /v1/models endpoint lists supported models so a client can switch backends without changing integration code.
7 endpointsJentic publishes the only available OpenAPI specification for AIMLAPI, keeping it validated and agent-ready. AIMLAPI exposes two purpose-built endpoints for document and image understanding: /ocr extracts text from a document image, and /vision analyses an image with vision features. Authentication uses an apiKey scheme (apiKeyAuth). The surface is intentionally narrow, suited to integrations that need OCR and vision analysis without adopting a full multi-modal LLM stack.
2 endpointsStep 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | 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.