Deutschlandgpt De DeutschlandGPT API

Name: DeutschlandGPT API
Brand: DeutschlandGPT API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLLanguage Modelsbearer4 EndpointsREST

For Agents

Run chat completions, generate embeddings, create images, and list models on DeutschlandGPT — a GDPR-compliant, OpenAI-compatible inference endpoint hosted in Germany.

Install Jentic One Beta

Connect the DeutschlandGPT API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the DeutschlandGPT 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://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 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 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 DeutschlandGPT API.

Run chat completions against German or multilingual models with OpenAI-compatible payloads

Generate vector embeddings for semantic search and retrieval workflows under GDPR

Create images from text prompts with the OpenAI-style images endpoint

GET STARTED

Start building with DeutschlandGPT API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use DeutschlandGPT API for, with concrete tasks.

★ GDPR-Compliant Chat Completions

Companies with EU customers or strict privacy requirements use DeutschlandGPT as a drop-in replacement for OpenAI to keep inference traffic on German infrastructure. The /v1/chat/completions endpoint accepts the standard OpenAI request shape, so application code rarely needs more than a base URL change to switch over.

POST /v1/chat/completions with a German-language system prompt and the user's question, then return the assistant message.

RAG with EU Data Residency

Retrieval-augmented generation pipelines that index sensitive customer documents use the /v1/embeddings endpoint to keep both indexing and retrieval inside GDPR-compliant infrastructure. Pair embeddings with a vector database hosted in the EU to keep the whole loop on-region.

POST /v1/embeddings with a batch of 50 document chunks and store the returned vectors in an EU-hosted vector database.

Image Generation for German Marketing

Marketing teams use /v1/images/generations to produce visuals for German-language campaigns without sending prompts or assets to non-EU infrastructure. Useful for regulated industries — banks, healthcare, public sector — where data movement to the US is a compliance issue.

POST /v1/images/generations with a German prompt describing the campaign visual and download the resulting image to the asset library.

Agent-Driven EU AI Workflows

AI agents serving European users can route inference through DeutschlandGPT via Jentic to satisfy data-residency and GDPR posture requirements. Jentic stores the bearer token in the vault and matches agent intents to the right OpenAI-compatible endpoint.

Search Jentic for 'run a chat completion on a GDPR-compliant model', load the /v1/chat/completions operation, and execute it with the user's prompt.

Key Endpoints

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

METHOD

PATH

DESCRIPTION

POST

/v1/chat/completions

Run a chat completion

POST

/v1/embeddings

Generate vector embeddings

POST

/v1/images/generations

Generate an image from a prompt

GET

/v1/models

List available models

POST

/v1/chat/completions

Run a chat completion

POST

/v1/embeddings

Generate vector embeddings

POST

/v1/images/generations

Generate an image from a prompt

GET

/v1/models

List available models

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

The DeutschlandGPT bearer token is stored encrypted in the Jentic vault and injected into the Authorization header on every call. Agents see no raw secret; rotation happens centrally.

Intent-based discovery

Agents search Jentic by intent (e.g. 'GDPR-compliant chat completion') and Jentic returns the matching DeutschlandGPT operation with its input schema, so the agent calls the right endpoint without reading the docs.

Time to first call

Direct DeutschlandGPT integration: a few hours, since it mirrors the OpenAI shape. Through Jentic: under 15 minutes — search, load schema, execute.

FAQs

Specific to using DeutschlandGPT API through Jentic.

Why is there no official OpenAPI spec for DeutschlandGPT API?

DeutschlandGPT does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call DeutschlandGPT API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the DeutschlandGPT API use?

DeutschlandGPT uses bearer token authentication, identical to the OpenAI scheme. Through Jentic the token is stored encrypted in the vault and injected into the Authorization header at call time.

Is the DeutschlandGPT API OpenAI-compatible?

Yes — the chat completions, embeddings, images, and models endpoints follow the OpenAI request and response shapes, so existing OpenAI SDK clients usually only need a base URL change to talk to DeutschlandGPT.

Can I generate vector embeddings for RAG with the DeutschlandGPT API?

Yes — POST /v1/embeddings returns vectors that can be stored in any vector database. Combined with EU-hosted vector storage, the entire retrieval-augmented generation loop stays within GDPR-compliant infrastructure.

What are the rate limits for the DeutschlandGPT API?

The OpenAPI spec does not declare specific rate limits. Treat them as comparable to other hosted LLM APIs and implement exponential backoff on 429 responses.

How do I run a chat completion through Jentic?

Search Jentic for 'run a chat completion on DeutschlandGPT', load the /v1/chat/completions operation, and execute it with the messages array. Jentic injects your bearer token at execution time.

Deutschlandgpt De DeutschlandGPT API

Connect the DeutschlandGPT API to your agent

Capabilities

Start building with DeutschlandGPT API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs