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Use n8n with amazee.ai

n8n is an open-source workflow automation platform. Connect it to amazee.ai to use Claude and other models in your automations, with your data processed in your chosen region.

Prerequisites

Connect amazee.ai as an OpenAI-compatible provider

n8n's AI nodes use OpenAI-compatible APIs. amazee.ai's endpoint is a drop-in replacement.

In the n8n UI

  1. Go to Settings → Credentials
  2. Click Add Credential and search for OpenAI API
  3. Fill in:
Field Value
Base URL https://llm.[your-region].amazee.ai/v1
API Key your amazee.ai API key
  1. Save and test the credential

In a workflow node

When you add an AI node (e.g. AI Agent, Chat Model, Text Classifier):

  1. Select OpenAI Chat Model as the model type
  2. Choose the credential you just created
  3. Set the model name (e.g. claude-sonnet-4-5)

See Available Models for the full list.

Connect pgvector (optional)

For RAG workflows, amazee.ai provides a managed pgvector database. To get pgvector credentials for your workspace, contact ai.support@amazee.io.

In n8n, use the Postgres node or Vector Store node with:

Field Value
Host vectordb.[your-region].amazee.ai
Port 5432
Database your database name
Username your username
Password your password
SSL required

Embeddings

To generate embeddings in n8n (e.g. for a vector store workflow), use the Embeddings OpenAI node with your amazee.ai credential and model set to amazon.titan-embed-text-v2:0.

Troubleshooting

"Model not found" error : Use the exact model ID from Available Models. n8n does not auto-complete model names for custom providers.

Credential test fails : Make sure the Base URL ends in /v1. The test call hits /v1/models — verify that URL returns a valid response with your key.

Requests timing out on long automations : Increase the timeout in your n8n node settings. Long-running tasks (document processing, multi-step chains) may need 120–300 seconds.