Install Jentic One Beta

Connect the Dante AI API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Dante AI 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%2Fdante-ai.com%2Fdante-ai" | 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%2Fdante-ai.com%2Fdante-ai" | 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 Dante AI API.

Build knowledge bases from uploaded files, URLs, or mixed sources

Search and retrieve content within an existing knowledge base

Run multi-turn conversations grounded in a chosen knowledge base and personality

Configure chatbot personalities to control tone, instructions, and model choice

Generate text-to-speech audio from chatbot responses

GET STARTED

Start building with Dante AI API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Dante AI API for, with concrete tasks.

★ Documentation-Grounded Support Chatbot

Spin up a support chatbot grounded in product documentation without building a retrieval pipeline. The POST /knowledge-bases/url and POST /knowledge-bases/files endpoints ingest content, then conversations and messages endpoints run grounded chat against it. Suitable for SaaS support, internal help desks, and product-specific Q and A widgets.

Create a knowledge base from the product docs URL, attach it to a personality named 'Support Assistant', and run a conversation answering a user's question grounded in the indexed content.

Internal Knowledge Search

Build an internal knowledge search interface backed by a Dante knowledge base populated from policy documents and wikis. The GET /knowledge-bases/{kb_id}/search endpoint returns relevant passages for a user query without running a full chat session. Useful when a team wants retrieval results without conversational framing.

Search the policy knowledge base for 'remote work expense reimbursement' and return the top three matching passages with their source references.

Voice-Enabled Chat Experiences

Pair Dante's grounded chat with text-to-speech to deliver voice-first interfaces in mobile apps, kiosks, or accessibility tools. The Text-to-Speech endpoints turn each chatbot reply into audio with a chosen voice. Suitable for hands-free help surfaces or audio learning experiences.

Run a conversation turn in the assistant knowledge base, then call the text-to-speech endpoint to generate an audio file of the reply for playback in the mobile app.

Multi-Persona Chatbot Platforms

Operate multiple chat personas - for example, a sales bot and a support bot - that share underlying knowledge bases but differ in tone and instructions. The /personalities endpoints configure each persona with its own model and system prompts. Useful for vendors offering multi-bot platforms to their customers.

Create two personalities - 'Sales Concierge' and 'Support Helper' - both pointing to the shared product knowledge base, and run a conversation turn against each to validate tone.

Agent-Built Chatbots via Jentic

AI agents that assemble custom assistants for downstream users can call Dante AI through Jentic without storing each customer's bearer token. The agent searches Jentic for the relevant intent, loads the schema, and creates knowledge bases or runs conversations on the user's behalf. Credentials remain in your Jentic One instance.

Use Jentic to search 'create a knowledge base from urls', load POST /knowledge-bases/url, and execute it with the user's documentation URLs to provision their chatbot.

Key Endpoints

35 endpoints — dante ai publishes an official openapi specification covering its full platform; the specification jentic publishes here is a curated, agent-optimized subset, narrowed to the knowledge base and chat operations agents actually call and kept validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/knowledge-bases/url

Create a knowledge base from URLs

POST

/knowledge-bases/files

Create a knowledge base from uploaded files

GET

/knowledge-bases/{kb_id}/search

Search a knowledge base

GET

/knowledge-bases/{kb_id}

Get knowledge base details

DELETE

/knowledge-bases/{kb_id}

Delete a knowledge base

PATCH

/knowledge-bases/{kb_id}

Update a knowledge base

POST

/knowledge-bases/{kb_id}/files

Add files to a knowledge base

POST

/knowledge-bases/url

Create a knowledge base from URLs

POST

/knowledge-bases/files

Create a knowledge base from uploaded files

GET

/knowledge-bases/{kb_id}/search

Search a knowledge base

GET

/knowledge-bases/{kb_id}

Get knowledge base details

DELETE

/knowledge-bases/{kb_id}

Delete a knowledge base

PATCH

/knowledge-bases/{kb_id}

Update a knowledge base

POST

/knowledge-bases/{kb_id}/files

Add files to a knowledge base

Why Jentic?

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

Setup

Wiring Dante AI by hand means learning its bearer auth against api.dante-ai.com and building the upload, search, and retry plumbing for knowledge bases yourself. Through Jentic you install once, import the Dante AI API from the API Directory, store the token once, and your agent calls it.

Permission scoping

Dante AI puts the knowledge base id in the URL path (/knowledge-bases/{kb_id}/...), so a rule can pin your agent to one knowledge base for searching and adding files. You choose the operations it may call, so deleting a knowledge base is not included unless you add it.

Credential isolation

Your Dante AI 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 'create a knowledge base from a URL' or 'search a Dante knowledge base', and Jentic returns the matching operation with its input schema so the agent calls the right endpoint without browsing the api.dante-ai.com docs.

FAQs

Specific to using Dante AI API through Jentic.

Does Dante AI publish an official OpenAPI specification?

Yes. Dante AI serves an official OpenAPI 3.0.2 document at `https://api.dante-ai.com/openapi.json`, covering its full platform. The specification Jentic publishes here is a curated subset of that surface, scoped to the 35 knowledge base, conversation, message, personality, model, and text-to-speech operations agents call most, and validated against the live API. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Dante AI API use?

The Dante AI API uses bearer token authentication via the bearerAuth scheme - the token is sent in the Authorization header. Through Jentic the bearer token is held in the vault and never enters the agent's context.

Can I create a knowledge base from URLs with the Dante AI API?

Yes. POST /knowledge-bases/url accepts a list of URLs and creates a knowledge base from their content. POST /knowledge-bases/all combines URL and file inputs in one call.

What are the rate limits for the Dante AI API?

The OpenAPI spec does not declare explicit numeric limits. Apply backoff on 429 responses and batch knowledge base updates rather than calling PATCH per file when ingesting many sources.

How do I run a grounded chat through Jentic?

Run pip install jentic, then search Jentic for 'send a message to a dante chatbot', load the conversation message endpoint schema, and execute it with the conversation ID and user message. Jentic injects the bearer token at call time.

Does the Dante AI API support text-to-speech?

Yes. The Text-to-Speech endpoints generate audio from text replies, useful for voice-first interfaces or accessibility-focused chat surfaces.

Can I limit what my agent is allowed to do with the Dante AI API?

Yes. Because you run Jentic One yourself, your own rules decide which Dante AI operations and credentials the agent may use. Since Dante AI puts the knowledge base id in the URL path, such as /knowledge-bases/{kb_id}/search, you can pin the agent to a single knowledge base for searching content and adding files. You also choose the exact operations it may call, so a destructive action like DELETE /knowledge-bases/{kb_id} stays off limits unless you explicitly allow it.

Dante AI API

Name: Dante AI API
Brand: Dante AI API
Availability: InStock

Agent-ready OpenAPI document · curated by JenticAI/MLLanguage Modelsbearer35 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Build and query knowledge-base-grounded chatbots - create knowledge bases from files or URLs, run conversations, and synthesise speech with Dante AI.

Use for: I want to create a chatbot grounded in my product documentation, Build a knowledge base from a list of URLs, Search a knowledge base for content matching a question, Set up a personality for a customer support chatbot

Not supported: Does not handle raw model fine-tuning, image generation, or vector database hosting - use for Dante's knowledge-base-grounded chatbots, conversations, and text-to-speech only.

Dante AI publishes an official OpenAPI specification covering its full platform; the specification Jentic publishes here is a curated, agent-optimized subset, narrowed to the knowledge base and chat operations agents actually call and kept validated and agent-ready. Dante AI lets builders create custom chatbots grounded in their own knowledge bases assembled from files, URLs, or text. The 35-endpoint API covers knowledge base creation, conversations, messages, personalities, models, and text-to-speech, secured with bearer token authentication. It is suited to embedding branded chat assistants in websites, support flows, and internal tools.

Jentic One on Github View OpenAPI Document

Connect the Dante AI API to your agent

Capabilities

Start building with Dante AI API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Dante AI API