cognidata

n8n community node for Cognidata Suite — LLM and workflow integration

Package Information

Downloads: 1 weekly / 18 monthly
Latest Version: 1.1.0
Author: Cognidata

Available Nodes

Cognidata AI icon
Cognidata AI
Use LLM models via Cognidata Suite — unified AI gateway with token tracking and cost control

Documentation

n8n-nodes-cognidata

n8n community node that integrates with Cognidata Suite — a unified AI gateway with token tracking and cost control.

What is Cognidata Suite?

Cognidata Suite acts as a centralized gateway for LLM providers (OpenAI, Anthropic, Google, Groq, Ollama, etc.). Instead of configuring each provider separately, you route all AI requests through Cognidata Suite, which handles:

  • Unified access to multiple LLM providers with a single API key
  • Token tracking and cost control per user
  • Model permissions — administrators control which models each user can access
  • Agent Flows — pre-built AI workflows that can be triggered via API

Installation

In n8n (Community Nodes)

  1. Go to Settings > Community Nodes
  2. Enter n8n-nodes-cognidata
  3. Click Install

Via npm

npm install n8n-nodes-cognidata

Via Docker

A ready-to-use Docker setup is included in the docker/ directory:

cp docker/.env.example docker/.env
# Edit docker/.env with your Cognidata API key
cd docker && docker compose up --build

Setup

  1. In n8n, go to Credentials > New Credential > Cognidata Suite API
  2. Enter your API Key (format: sk-cog-...)
  3. Enter the Base URL of your Cognidata Suite instance (e.g. http://localhost:8000/api/v1)
  4. Click Save — the credential will validate by fetching your available models

Node: Cognidata AI

Chat Completion

Send messages to any LLM model available in your Cognidata Suite instance.

Parameter Description
Model Dropdown that dynamically loads your available models
System Prompt Optional system instructions for the AI
User Message The message to send (supports n8n expressions)
Temperature Controls randomness (0.0 – 2.0, default: 0.7)
Max Tokens Maximum tokens in the response (default: 1024)

Output:

Field Description
content The AI model's response text
model_id UUID of the model used
model_name Display name of the model
usage Token usage (input_tokens, output_tokens, total_tokens)
finish_reason Why the model stopped (e.g. stop)

Trigger Flow

Execute a pre-configured Cognidata Suite Agent Flow.

Parameter Description
Flow ID The UUID of the Agent Flow to trigger
Input Message Input text for the flow

API Endpoints Used

Operation Method Endpoint
Credential test GET /inference/models
Load models GET /inference/models
Chat completion POST /inference/chat
Trigger flow POST /inference/flows/{flowId}/execute

License

MIT

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