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n8n-nodes-edenai

v0.1.14

Published

n8n community node for Eden AI — access 300+ models from 50+ providers through a single European AI gateway

Readme

n8n-nodes-edenai

This is an n8n community node for Eden AI — a European AI gateway that gives you access to 300+ models from 50+ providers through a single API and credential.

Features

  • 300+ models from providers like OpenAI, Anthropic, Mistral, Google, and more
  • Automatic fallback — define backup models if the primary fails
  • Web search — enable real-time web access for supported models
  • European hosting — full transparency on where models are hosted, GDPR-compliant

Installation

In your n8n instance, go to Settings → Community Nodes and install:

n8n-nodes-edenai

Credentials

You need an Eden AI API key. Get one at app.edenai.run.

Usage

This package provides three nodes:

  • Eden AI Chat Model — language-model sub-node for AI Agents and Chains
  • Eden AI Embeddings — embeddings sub-node for vector stores and retrievers
  • Eden AI Expert Models — action node for non-LLM features (OCR, text, image, audio, translation)

Eden AI Chat Model

Add the Eden AI Chat Model node as a sub-node to any AI Agent or Chain in your workflow.

Options

| Option | Description | |--------|-------------| | Model | Provider/model format (e.g. openai/gpt-4o, anthropic/claude-sonnet-4-5) | | Fallback Models | Comma-separated backup models if the primary fails | | Web Search | Enable real-time web access (model must support it) | | Web Search Context Size | low, medium, or high — controls retrieval depth | | Temperature | Sampling temperature (0–2) | | Max Tokens | Maximum tokens to generate | | Response Format | text or json_object |

Eden AI Expert Models

The Eden AI Expert Models node runs Eden AI's non-LLM features through the Universal AI endpoint. Unlike the Chat Model and Embeddings sub-nodes, it's a regular action node — connect it inline in a workflow.

Pick a Feature, Subfeature, and Provider (loaded live from your account), set the Input Type to Text or File (a public URL, an uploaded file ID, or binary data from a previous node), and add any extra parameters (e.g. target_language, voice, document_type) under Additional Input Fields. Toggle EU Only to route through api.eu.edenai.run and list only EU-eligible providers (GDPR / data residency).

Other Options:

| Option | Default | Purpose | | --- | --- | --- | | Fallback Models | — | Comma-separated providers (up to 3) tried in order if the primary fails. | | Provider Params | {} | Provider-specific parameters sent as provider_params; takes precedence over the normalized input fields. | | Simplify Response | false | Return only the feature output instead of the full envelope (status, cost, provider, output). | | Show Original Response | false | Include the raw provider response under original_response. | | Download File Output | false | Download generated files (image generation, text-to-speech, document translation) and attach as binary data under Output Binary Field (default data). |

Asynchronous features — speech-to-text, multi-page OCR (ocr_async, ocr_tables_async), and video generation — are supported and labelled (async) in the Subfeature list. By default the node launches the job and polls until it finishes. Control this under Options:

| Option | Default | Purpose | | --- | --- | --- | | Wait for Completion | true | Poll until the job finishes and return its result. Turn off to return the job handle (public_id) immediately and poll it yourself or receive a webhook. | | Poll Interval (Ms) | 4000 | Delay between job status checks while waiting. | | Max Wait Time (Ms) | 300000 | How long to poll before timing out. | | Webhook URL | — | A URL Eden AI calls when the job completes (sent as webhook_receiver). |

This node is also exposed as an AI tool (usableAsTool), so an AI Agent can call Eden AI expert models directly.

Links