Integrations

Integrate Vantero with popular tools and frameworks.

n8n

Use Vantero in your n8n workflows.

When API keys are model-restricted, send an explicit model ID (for example "chat-model-gpt-4.1") instead of "auto".

Legacy n8n OpenAI nodes using functions/function_call are also supported.

Setup

1. Add an "HTTP Request" node

2. Configure the credentials:

{
  "type": "httpHeaderAuth",
  "data": {
    "name": "Authorization",
    "value": "Bearer sk_vantero_..."
  }
}

3. Configure the request

{
  "method": "POST",
  "url": "https://api.vantero.chat/v1/chat/completions",
  "headers": {
    "Content-Type": "application/json"
  },
  "body": {
    "model": "chat-model-gpt-4.1",
    "messages": [
      {"role": "user", "content": "{{ $json.prompt }}"}
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "telegram_senden",
          "parameters": {
            "type": "object",
            "properties": {
              "message": { "type": "string" }
            },
            "required": ["message"]
          }
        }
      }
    ],
    "tool_choice": "auto"
  }
}

LangChain

Use Vantero with LangChain for advanced workflows.

Installation

pip install langchain-openai

Usage

1from langchain_openai import ChatOpenAI
2
3llm = ChatOpenAI(
4    model="mistral-small",
5    openai_api_key="sk_vantero_...",
6    openai_api_base="https://api.vantero.chat/v1"
7)
8
9response = llm.invoke("Erkläre mir Quantencomputing.")
10print(response.content)
11
12# Mit Streaming
13for chunk in llm.stream("Erkläre mir Quantencomputing."):
14    print(chunk.content, end="")