n8n Integration

Learn how to integrate Demeterics into your workflows with step-by-step guides and API examples.

n8n Integration

Integrate Demeterics with n8n to access multiple AI providers through a unified API with built-in observability, analytics, and cost tracking in your workflow automations.

Overview

The n8n-nodes-demeterics community node package provides five powerful nodes:

  1. Demeterics Chat Model - LangChain-compatible AI model for use with n8n's AI chains and agents
  2. Demeterics Speech Gen - Text-to-speech generation across OpenAI, ElevenLabs, and Google
  3. Demeterics Image Gen - Image generation across OpenAI DALL-E, Google Imagen, and Stability AI
  4. Demeterics Conversion - Track business outcomes and metrics linked to LLM interactions
  5. Demeterics Extract - Export interaction data for analysis, compliance, or data pipelines

Package: n8n-nodes-demeterics
npm: npmjs.com/package/n8n-nodes-demeterics
GitHub: github.com/bluefermion/n8n-nodes-demeterics

Installation

  1. Go to Settings > Community Nodes in your n8n instance
  2. Click Install
  3. Enter n8n-nodes-demeterics and confirm
  4. Restart n8n if prompted

Method 2: Docker with Custom Dockerfile

Create a Dockerfile:

FROM n8nio/n8n:latest

USER root
RUN npm install -g n8n-nodes-demeterics
USER node

Update docker-compose.yml:

version: '3.8'
services:
  n8n:
    build:
      context: .
      dockerfile: Dockerfile
    restart: unless-stopped
    ports:
      - "5678:5678"
    volumes:
      - n8n_data:/home/node/.n8n

volumes:
  n8n_data:

Build and start:

docker-compose build
docker-compose up -d

Method 3: Docker Volume Mount

# Install locally
mkdir -p ~/n8n-custom-nodes
cd ~/n8n-custom-nodes
npm install n8n-nodes-demeterics

Add to docker-compose.yml:

volumes:
  - ~/n8n-custom-nodes/node_modules/n8n-nodes-demeterics:/home/node/.n8n/custom/node_modules/n8n-nodes-demeterics

Method 4: Non-Docker Installation

cd ~/.n8n
npm install n8n-nodes-demeterics

Restart n8n after installation.

Setting Up Credentials

1. Get Your API Key

  1. Sign up or log in at demeterics.ai
  2. Navigate to API Keys in your dashboard
  3. Click Create API Key
  4. Copy your API key (format: dmt_xxx...)

2. Add Credentials in n8n

  1. Go to Credentials in n8n
  2. Click Add Credential
  3. Search for "Demeterics API"
  4. Configure your credentials:
Field Required Description
BYOK Mode No Toggle on to use your own provider API keys
Demeterics API Key Yes Your Demeterics API key (dmt_xxx...)
Groq API Key BYOK only Your Groq API key for BYOK routing
OpenAI API Key BYOK only Your OpenAI API key for BYOK routing
Anthropic API Key BYOK only Your Anthropic API key for BYOK routing
Gemini API Key BYOK only Your Google Gemini API key for BYOK routing
OpenRouter API Key BYOK only Your OpenRouter API key for BYOK routing
API Base URL No Override for self-hosted (default: https://api.demeterics.com)
  1. Click Save

Authentication Modes

Managed Key (Default): Use only your Demeterics API key. Demeterics manages provider credentials on your behalf.

Bring Your Own Key (BYOK): Toggle BYOK on and provide your own provider API keys. Only add keys for providers you'll actually use.

Node 1: Demeterics Chat Model

The Demeterics Chat Model provides access to multiple AI providers and works with n8n's AI nodes.

Compatible AI Nodes

  • AI Agent - Build intelligent agents with tool use
  • Basic LLM Chain - Simple prompt → response workflows
  • Summarization Chain - Summarize documents
  • Question and Answer Chain - RAG-based Q&A

Basic Workflow Example

[Chat Trigger] → [AI Agent] ← [Demeterics Chat Model]
                     ↑
                  [Tools]
  1. Add a Chat Trigger node
  2. Add an AI Agent node
  3. Connect Demeterics Chat Model to the AI Agent's "Chat Model" input
  4. Select your provider and model
  5. Add tools as needed (Calculator, Code, HTTP Request, etc.)

Configuration Options

Option Description Default Range
Provider AI provider to use Groq -
Model Specific model from provider (varies) -
Temperature Controls randomness 0.7 0-2
Max Tokens Maximum response length 4096 1-128000
Top P Nucleus sampling parameter 1 0-1
Frequency Penalty Reduce repetition 0 -2 to 2
Presence Penalty Encourage new topics 0 -2 to 2
Timeout Request timeout in seconds 60 1-600

Supported Providers & Models

Groq (Fastest Inference)

Model Description
Llama 3.3 70B Versatile High-quality general purpose
Llama 3.1 8B Instant Fast, lightweight
Llama 4 Maverick 17B Latest Llama 4
Llama 4 Scout 17B Efficient Llama 4
Compound (Multi-model) Automatic model routing
Compound Mini Lightweight multi-model
Qwen3 32B Alibaba's latest
Kimi K2 Instruct Moonshot AI
GPT-OSS 120B Open-source GPT
GPT-OSS 20B Lightweight open-source

OpenAI

Model Description
GPT-5 Latest flagship
GPT-5 Mini Efficient GPT-5
GPT-5 Nano Ultra-lightweight
GPT-5 Codex Code-optimized
GPT-4.1 Previous generation flagship
GPT-4.1 Mini Efficient GPT-4.1
GPT-4.1 Nano Lightweight GPT-4.1
GPT-4o Multimodal
GPT-4o Mini Efficient multimodal

Anthropic

Model Description
Claude Opus 4.5 Most capable
Claude Opus 4.1 Previous Opus
Claude Sonnet 4.5 Balanced performance
Claude Sonnet 4 Previous Sonnet
Claude 3.7 Sonnet Legacy Sonnet
Claude Haiku 4.5 Fast and efficient
Claude 3.5 Haiku Legacy Haiku

Google

Model Description
Gemini 3 Pro Preview Latest preview
Gemini 2.5 Pro Current flagship
Gemini 2.5 Flash Fast inference
Gemini 2.5 Flash Lite Ultra-lightweight
Gemini 2.0 Flash Previous generation
Gemini 1.5 Pro Long context (2M tokens)
Gemini 1.5 Flash Fast with long context

OpenRouter

Model Description
OpenRouter Auto Automatic model selection
Claude 3.5 Sonnet Via OpenRouter
Gemini 1.5 Pro Via OpenRouter
Llama 3.1 70B Instruct Via OpenRouter
Qwen 2.5 72B Instruct Via OpenRouter
Mixtral 8x7B Instruct Via OpenRouter

Node 2: Demeterics Speech Gen

Generate natural-sounding speech from text using multiple TTS providers through a single node.

Configuration Options

Option Description Default
Provider TTS provider to use OpenAI
Model Provider-specific model (varies)
Voice Voice identifier alloy
Format Output audio format mp3
Speed Playback speed (0.25-4.0) 1.0

Input

Parameter Type Required Description
text string Yes Text to convert to speech

Output

Field Type Description
audio_url string Signed URL to audio file (15 min expiry)
duration_seconds number Audio duration
cost_usd number Generation cost
format string Audio format

Supported Providers

OpenAI

Model Voices
tts-1 alloy, echo, fable, onyx, nova, shimmer
tts-1-hd alloy, echo, fable, onyx, nova, shimmer

ElevenLabs

Model Description
eleven_multilingual_v2 Best quality, 29 languages
eleven_turbo_v2_5 Fast, English-optimized

Google Cloud TTS

Model Description
wavenet High quality WaveNet voices
neural2 Neural network based
standard Basic quality

Basic Workflow Example

[Webhook] → [Demeterics Speech Gen] → [HTTP Response with audio URL]
  1. Receive text input via webhook
  2. Generate speech using Demeterics Speech Gen
  3. Return the audio URL to the caller

Use Cases

  • Voice Assistants - Generate spoken responses for chatbots
  • Content Creation - Convert articles and posts to audio
  • Accessibility - Provide audio versions of text content
  • Notifications - Generate audio alerts and announcements
  • Podcasting - Create AI-narrated podcast content

Node 3: Demeterics Image Gen

Generate images from text prompts using multiple providers through a single node.

Configuration Options

Option Description Default
Provider Image generation provider OpenAI
Model Provider-specific model gpt-image-1
Size Output image size 1024x1024
Quality Image quality standard
Style Image style natural
Count Number of images 1

Input

Parameter Type Required Description
prompt string Yes Description of the image to generate
negative_prompt string No What to avoid in the image

Output

Field Type Description
images array Generated images
images[].url string Signed URL to image (15 min expiry)
images[].width number Image width in pixels
images[].height number Image height in pixels
cost_usd number Generation cost
revised_prompt string Provider's modified prompt

Supported Providers

OpenAI DALL-E

Model Sizes Quality
gpt-image-1 1024x1024, 1792x1024, 1024x1792 standard, hd

Google Imagen

Model Sizes
imagen-3.0-generate-002 1024x1024, 1536x1536
imagen-3.0-fast-generate-001 1024x1024

Stability AI

Model Description
stable-image-ultra Highest quality
stable-image-core Balanced quality/speed
stable-diffusion-xl-1024-v1-0 SDXL 1.0

Basic Workflow Example

[HTTP Trigger] → [Demeterics Image Gen] → [Upload to S3] → [HTTP Response]
  1. Receive image description via HTTP trigger
  2. Generate image using Demeterics Image Gen
  3. Upload to permanent storage (S3, GCS, etc.)
  4. Return the permanent URL

Use Cases

  • Marketing Content - Generate ad visuals and social media images
  • Product Design - Create concept images and mockups
  • E-commerce - Generate product variations and lifestyle images
  • Creative Tools - Power image generation features in your apps
  • Content Pipelines - Automate thumbnail and header image creation

Node 4: Demeterics Conversion

Track business outcomes and metrics linked to your LLM interactions using cohort IDs.

Operations

Submit Outcome

Submit or update conversion metrics for a cohort.

Parameter Type Required Description
cohortId string Yes Identifier linking LLM interactions to outcomes
outcome number No Primary metric (e.g., views, conversion rate)
outcomeV2 number No Secondary metric (e.g., revenue, time saved)
label string No Human-readable label (e.g., "7d engagement")
eventDate string No Date of outcome (YYYY-MM-DD format)

Example:

{
  "cohort_id": "campaign_001",
  "outcome": 95,
  "outcome_v2": 150,
  "label": "7d engagement",
  "event_date": "2025-01-15"
}

Get Outcome

Retrieve conversion information for a cohort.

Parameter Type Required Description
cohortId string Yes Identifier used to tag LLM interactions

Use Cases

  • Performance Tracking - Link LLM interactions to business outcomes
  • A/B Testing - Compare results across different prompt variations
  • Model Comparison - Track metrics per provider/model combination
  • Campaign Analysis - Monitor effectiveness of AI-generated content
  • Conversion Attribution - Measure ROI of LLM features

Node 5: Demeterics Extract

Export interaction data from Demeterics for analysis, compliance, or data pipeline integration.

Operations

Export Interactions (Simple)

Create an export and immediately fetch its contents.

Parameter Type Default Description
format options json Export format: JSON, CSV, or Avro
startDate string - Filter start date (YYYY-MM-DD)
endDate string - Filter end date (YYYY-MM-DD)
tables multiOptions interactions Tables: interactions, eval_runs, eval_results

Returns:

  • JSON: Parsed items as individual workflow items
  • CSV/Avro: Binary file attachments for downstream processing

Create Export Job

Create an export request and return the request ID for async processing.

Stream Export by Request ID

Fetch data for an existing export request ID.

Available Tables

Table Description
interactions LLM request/response logs with metadata
eval_runs Evaluation runs and their configurations
eval_results Results from evaluation runs

Use Cases

  • Data Analysis - Export to analytics tools (BigQuery, Tableau, etc.)
  • Compliance Auditing - Full interaction logs for audit trails
  • Model Training - Use interactions as training data
  • Cost Analysis - Detailed cost breakdowns
  • Data Pipeline - Integrate into ETL workflows

Workflow Examples

Example 1: AI Agent with Multi-Provider Fallback

[HTTP Trigger] → [AI Agent + Demeterics Chat Model (Groq)]
                        ↓ (on error)
               [AI Agent + Demeterics Chat Model (Anthropic)]
                        ↓
               [Demeterics Conversion (submit outcome)]
                        ↓
               [HTTP Response]

Example 2: Daily Performance Export

[Schedule Trigger (daily)] → [Demeterics Extract]
                                    ↓
                            [Transform to metrics]
                                    ↓
                            [Save to database]

Example 3: Conversion Attribution

[User Event] → [Save cohort_id] → [Call LLM with cohort_id]
                                          ↓
                                   [Process response]
                                          ↓
                                   [Wait for conversion]
                                          ↓
                              [Demeterics Conversion (submit)]

Benefits of Using Demeterics

Unified API

Access all major AI providers through a single credential. Switch between Groq, OpenAI, Anthropic, and Google without changing your workflow.

Cost Tracking

Every request is automatically logged to your Demeterics dashboard. See exactly what each workflow costs in real-time.

Full Observability

Log every prompt, response, and token for debugging and compliance. Understand usage patterns and performance metrics.

No Vendor Lock-in

Switch providers anytime without code changes. Compare performance across providers easily.

Troubleshooting

Node Not Appearing

  • Restart n8n completely after installing the community node
  • Check that the installation completed successfully in Settings > Community Nodes
  • Clear browser cache and refresh

Authentication Errors

  • Verify your API key format starts with dmt_
  • Check that your API key is active at demeterics.ai/api-keys
  • Ensure the Base URL is set to https://api.demeterics.com (default)
  • For BYOK mode, ensure at least one provider key is configured

Model Not Working

  • Check the API Reference for the latest supported models
  • Verify the model is enabled for your account
  • Check your credit balance at demeterics.ai

Export Issues

  • Verify date range is valid (start date ≤ end date)
  • Check date format is YYYY-MM-DD
  • Ensure selected tables have data in the specified range

Resources

Support