Install Jentic One Beta

Connect the Anyscale Endpoints API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Anyscale Endpoints API, 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%2Fanyscale.com%2Fanyscale" | sh

Step 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%2Fanyscale.com%2Fanyscale" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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.

Capabilities

What an agent can do with Anyscale Endpoints API.

Generate a chat completion from an open-source language model

Generate a text completion for a prompt

Create embeddings for text used in retrieval or similarity search

List the models available for inference

Use Cases

Patterns agents use Anyscale Endpoints API for, with concrete tasks.

GET STARTED

Start building with Anyscale Endpoints API

Explore with Jentic One

View OpenAPI Document

★ Open-Model Chat Completions

An agent needs responses from an open-source LLM rather than a proprietary one, for cost or licensing reasons. Anyscale exposes chat completions through an OpenAI-compatible schema, so the agent submits messages and reads back the assistant reply. Through Jentic the agent searches for the chat operation and calls it directly with its bearer credential managed for it.

Send a list of chat messages to an open-source model and return the assistant's reply

Embeddings for Retrieval

A retrieval pipeline converts documents and queries into vectors before searching a vector store. Anyscale's embeddings operation returns vectors for input text so the pipeline can index and match on semantic similarity. Using open embedding models keeps the vector space consistent and self-contained.

Create embedding vectors for a batch of text passages for indexing in a vector store

Model Discovery Before Inference

Before selecting a model, an agent lists what Anyscale currently serves so it can pick one that matches the task and context window. The models operation returns the available identifiers, which the agent then passes to a completion call. This avoids hard-coding a model name that may change.

List the models Anyscale serves and select one for a chat completion request

Drop-In Replacement for OpenAI Clients

A team already using an OpenAI-compatible client wants to route some traffic to open models. Because Anyscale mirrors the chat and completion schemas, the same client works by pointing at the Anyscale base URL. Through Jentic the endpoint is imported once and the credential is stored, so switching providers is a configuration choice.

Route a chat completion request to an Anyscale open model using an OpenAI-compatible payload

Key Endpoints

4 endpoints — jentic publishes the only available openapi specification for anyscale endpoints api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/chat/completions

Generate a chat completion from an open-source model

POST

/completions

Generate a text completion for a prompt

POST

/embeddings

Create embedding vectors for input text

GET

/models

List the models available for inference

POST

/chat/completions

Generate a chat completion from an open-source model

POST

/completions

Generate a text completion for a prompt

POST

/embeddings

Create embedding vectors for input text

GET

/models

List the models available for inference

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring Anyscale by hand means managing its bearer token against api.endpoints.anyscale.com and pointing an OpenAI-compatible client at the right base URL yourself. Through Jentic you install once, import Anyscale from the API Directory, store the credential once, and your agent calls it.

Permission scoping

Anyscale's operations are inference calls, so a rule limits your agent to the operations it needs, such as chat completions and embeddings. You choose which operations it may call, so text completions or model listing are included only when you add them.

Credential isolation

Your Anyscale bearer token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'generate a chat completion' or 'create embeddings', and Jentic returns the matching Anyscale operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using Anyscale Endpoints API through Jentic.

Why is there no official OpenAPI spec for Anyscale Endpoints API?

Anyscale does not publish an OpenAPI specification for its endpoints. Jentic generates and maintains this spec so that AI agents and developers can call the Anyscale Endpoints API via structured tooling. It is validated against the live API and kept up to date. To run it on your own infrastructure, install Jentic One from its GitHub repo.

What authentication does the Anyscale Endpoints API use?

The Anyscale Endpoints API authenticates with an HTTP bearer token in the Authorization header, matching the OpenAI-compatible convention. Through Jentic, that token is stored encrypted by your own Jentic One instance and injected at execution time, so it never enters the agent's prompt or logs.

Is the Anyscale Endpoints API compatible with OpenAI clients?

Yes. Anyscale mirrors the OpenAI chat completions, completions, and embeddings schemas, so an OpenAI-compatible client works by pointing at the Anyscale base URL. This lets an agent route requests to open-source models without rewriting its request payloads.

What are the rate limits for the Anyscale Endpoints API?

The OpenAPI spec does not specify rate limits for the Anyscale Endpoints API. Check the Anyscale documentation at https://docs.anyscale.com for current limits, and back off when you receive a 429 response.

How do I generate a chat completion through Jentic?

Search Jentic for 'generate a chat completion'. Jentic returns Anyscale's chat operation with its input schema covering the model name and message list, so your agent can call it directly and read back the assistant reply.

Can I limit what my agent is allowed to do with the Anyscale Endpoints API?

Yes. You write a rule that allows only the operations the agent needs, so generating embeddings can stay separate from chat completions unless you allow both. Because Jentic One is self-hosted, those rules and the audit log of every call stay on your own infrastructure.

Is there an Anyscale Endpoints API MCP server?

You do not need an MCP server to give your agent the Anyscale Endpoints API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent can generate completions and embeddings. That also keeps your agent's context free of an extra server's tool definitions.

Anyscale Endpoints API

Name: Anyscale Endpoints API
Brand: Anyscale Endpoints API
Availability: InStock

Agent-ready OpenAPI document · curated by JenticAI/MLLanguage Modelsbearer4 EndpointsREST

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For Agents

Generate chat and text completions from open-source LLMs, create embeddings, and list available models through an OpenAI-compatible interface.

Use for: I want to generate a chat completion from an open-source model, Get a text completion for a prompt, Create embeddings for a batch of documents, Find out which models are available on Anyscale

Not supported: Does not fine-tune, train, or host custom models, and does not manage Anyscale compute clusters. Use for inference against the served open models only.

Jentic publishes the only available OpenAPI specification for Anyscale Endpoints API, keeping it validated and agent-ready. The Anyscale Endpoints API serves open-source large language models through an OpenAI-compatible interface, so existing chat and completion clients work with minimal change. It generates chat completions and text completions, produces embeddings for retrieval and similarity tasks, and lists the models available for inference. This gives agents hosted access to open models without running the serving infrastructure themselves.

Jentic One on Github View OpenAPI Document

Connect the Anyscale Endpoints API to your agent

Capabilities

Use Cases

Start building with Anyscale Endpoints API

Key Endpoints

Why Jentic?

Related APIs

FAQs

Anyscale Endpoints API