light-heart-labs--dreamserver/ods/extensions/library/workflows/flowise

Flowise Workflows

This directory contains n8n workflow templates for integrating Flowise with ODS.

Available Workflows

Chatflow API (chatflow-api.json)

Expose Flowise chatflows via webhook with optional API key authentication.

Flow:

1. Webhook: Receives POST requests at /flowise-chat
2. Validation: Validates API key and extracts chatflowId
3. Flowise API: Calls Flowise prediction endpoint
4. Response: Returns generated text, source docs, and tool usage

Environment Variables:

Variable	Description	Default
FLOWISE_HOST	Flowise hostname	flowise
FLOWISE_PORT	Flowise port	3000
FLOWISE_API_KEY	Optional webhook API key	(none)
FLOWISE_DEFAULT_CHATFLOW_ID	Default chatflow if not provided	(none)

Usage:

# With specific chatflow
curl -X POST http://localhost:5678/webhook/flowise-chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key" \
  -d '{
    "chatflowId": "your-chatflow-id",
    "question": "What is the weather today?"
  }'

# With default chatflow (set FLOWISE_DEFAULT_CHATFLOW_ID)
curl -X POST http://localhost:5678/webhook/flowise-chat \
  -H "Content-Type: application/json" \
  -d '{
    "question": "Explain quantum computing"
  }'

Response:

{
  "text": "Quantum computing uses quantum bits...",
  "chatId": "uuid",
  "sourceDocuments": [...],
  "usedTools": [...]
}

Setup

1. Import workflow into n8n
2. Configure environment variables
3. Create a chatflow in Flowise UI
4. Copy the chatflow ID from the URL
5. Test via webhook

Integration with ODS

Connect Flowise to ODS's LLM:

1. In Flowise, add an "Ollama" or "ChatLocalAI" node
2. Set Base URL: http://llama-server:8000/v1
3. Use local models already downloaded

Resources

• Flowise API Docs
• n8n Webhook Node