> ## Documentation Index
> Fetch the complete documentation index at: https://www.edenai.co/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# n8n

> Connect n8n to Eden AI using the official community node, and plug +300 LLM models from 50+ providers into any AI Agent or Chain workflow.

export const TechArticleSchema = ({title, description, path, articleSection, about, proficiencyLevel = "Beginner", dependencies, keywords = [], datePublished, dateModified, image, inLanguage = "en"}) => {
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    headline: title,
    name: title,
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  if (proficiencyLevel) data.proficiencyLevel = proficiencyLevel;
  if (dependencies) data.dependencies = dependencies;
  if (keywords && keywords.length) data.keywords = keywords;
  if (datePublished) data.datePublished = datePublished;
  if (dateModified) data.dateModified = dateModified;
  data.image = Array.isArray(resolvedImage) ? resolvedImage : [resolvedImage];
  const json = JSON.stringify(data);
  const schemaId = `techarticle-${canonicalUrl}`;
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<TechArticleSchema title={"n8n"} description={"Connect n8n to Eden AI using the official community node, and plug +300 LLM models from 50+ providers into any AI Agent or Chain workflow."} path="v3/integrations/n8n" articleSection="Automation Platforms" about={"Workflow Automation"} proficiencyLevel="Intermediate" keywords={["Eden AI", "AI API", "n8n", "automation"]} datePublished="2026-05-06T00:00:00Z" dateModified="2026-05-07T00:00:00Z" />

Connect [n8n](https://n8n.io) to Eden AI using the official community node, and plug +300 LLM models from 50+ providers into any AI Agent or Chain workflow.

## Overview

n8n is a workflow automation platform with native AI agent support. The **Eden AI Chat Model** community node lets you use Eden AI as the language model backend for any n8n AI node — no direct API wiring required.

* **+300 LLM models**: OpenAI, Anthropic, Google, Mistral, and more through a single credential
* **Automatic fallback**: define backup models that activate if the primary fails
* **Web search**: give models real-time web access when the task needs it
* **European hosting**: GDPR-compliant, transparent data routing

## Setup

### 1. Install the community node

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

```
n8n-nodes-edenai
```

Restart n8n if prompted.

### 2. Add your Eden AI credential

In n8n, click the **+** button → select **Credential** → search for **Eden AI**.

Paste your API key from [app.edenai.run](https://app.edenai.run) → **API Keys**.

### 3. Add the node to a workflow

In any workflow that uses an **AI Agent** or **Chain** node, click the **Model** sub-node slot and select **Eden AI Chat Model**.

The node connects as a language model provider — n8n handles message formatting, memory, and tool calls automatically.

## Configuration

| Option                       | Description                                                                                                             |
| ---------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
| **Model**                    | Model in `provider/model` format. Loaded dynamically from Eden AI's catalog.                                            |
| **Fallback Models**          | Comma-separated backup models (e.g. `openai/gpt-4o,anthropic/claude-haiku-4-5`). Retried in order if the primary fails. |
| **Web Search**               | Allow the model to retrieve real-time information from the web.                                                         |
| **Web Search Context Size**  | `low`, `medium`, or `high` — controls retrieval depth and cost.                                                         |
| **Sampling Temperature**     | Controls randomness (0–2). Lower = more deterministic.                                                                  |
| **Maximum Number of Tokens** | Max tokens to generate. Use `-1` for the model's default maximum.                                                       |
| **Response Format**          | `text` (default) or `json_object` (forces valid JSON output).                                                           |
| **Top P**                    | Nucleus sampling threshold (0–1). Alter this *or* temperature, not both.                                                |
| **Frequency Penalty**        | Reduces repetition of frequent tokens (-2 to 2).                                                                        |
| **Presence Penalty**         | Encourages new topics by penalizing already-used tokens (-2 to 2).                                                      |
| **Max Retries**              | How many times to retry on failure (default: 2).                                                                        |
| **Timeout**                  | Request timeout in milliseconds (default: 360 000).                                                                     |

### Available models

Pass any `provider/model` string as the model. The dropdown is populated live from Eden AI's catalog. Examples:

* `openai/gpt-4o` — GPT-4o
* `anthropic/claude-sonnet-4-5` — Claude Sonnet
* `google/gemini-2.5-flash` — Gemini Flash
* `mistral/mistral-large-latest` — Mistral Large

Browse the full catalog with pricing and capabilities at [app.edenai.run/models](https://app.edenai.run/models).

### JSON response format

When **Response Format** is set to `json_object`, you must include the word `json` somewhere in the prompt. This is a requirement of the underlying model API.

<Note>
  JSON mode is only supported by models released after November 2023.
</Note>

## Next Steps

* [LangChain](./langchain) - Build LLM applications in Python or TypeScript
* [OpenAI SDK (Python)](./openai-sdk-python) - Direct API access with the OpenAI-compatible SDK
* [OpenAI SDK (TypeScript)](./openai-sdk-typescript) - Direct API access in TypeScript