DeutschlandGPT API

Name: DeutschlandGPT API 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.

Quickstart

Get started with DeutschlandGPT API in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"run a chat completion on a GDPR-compliant model"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with DeutschlandGPT API 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

List the catalogue of available models hosted on DeutschlandGPT

GET STARTED

Start building with DeutschlandGPT API API

Explore with Jentic

View OpenAPI Document

Use for: Generate a chat completion using a GDPR-compliant model, Create vector embeddings for a batch of documents, Generate an image from a German-language prompt, List all available DeutschlandGPT models

Not supported: Does not handle audio transcription, fine-tuning jobs, or assistants beyond chat, embeddings, and images — use for OpenAI-compatible inference only.

Jentic publishes the only available OpenAPI document for DeutschlandGPT API, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for DeutschlandGPT API, keeping it validated and agent-ready. DeutschlandGPT is a GDPR-compliant AI inference provider hosted in Germany, exposing OpenAI-compatible endpoints for chat completions, embeddings, image generation, and model listing. Drop-in compatibility means existing OpenAI client code can be repointed at DeutschlandGPT for workloads that require EU data residency or stricter privacy posture.

Use Cases

Patterns agents use DeutschlandGPT API 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 though 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.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

OpenAI API

OpenAI is the request-shape reference; DeutschlandGPT mirrors it on EU infrastructure.

Choose OpenAI when EU data residency is not required and you want the broadest model selection; choose DeutschlandGPT when GDPR posture matters.

Alternative

Anthropic Messages API

Anthropic Messages is a non-OpenAI-shape alternative with different model strengths.

Choose Anthropic when the workflow benefits from Claude's reasoning style; choose DeutschlandGPT when EU residency drives the decision.

Complementary

Replicate API

Use Replicate for hosted open-source models alongside DeutschlandGPT for primary inference.

Use Replicate as a fallback when DeutschlandGPT does not host the specific open-source model the agent needs.

FAQs

Specific to using DeutschlandGPT API 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.