/ods/extensions/library/workflows/langflow

Langflow Workflows

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

Available Workflows

Flow API (flow-api.json)

Expose Langflow flows via webhook with optional API key authentication.

Flow:

1. Webhook: Receives POST requests at /langflow-run
2. Validation: Validates API key and extracts flowId
3. Langflow API: Calls Langflow run endpoint
4. Response: Returns generated text and session info

Environment Variables:

Variable	Description	Default
LANGFLOW_HOST	Langflow hostname	langflow
LANGFLOW_PORT	Langflow port	7860
LANGFLOW_API_KEY	Optional webhook API key	(none)
LANGFLOW_DEFAULT_FLOW_ID	Default flow if not provided	(none)

Usage:

# With specific flow
curl -X POST http://localhost:5678/webhook/langflow-run \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-api-key" \
  -d '{
    "flowId": "your-flow-id",
    "input": "Generate a marketing email"
  }'

# With default flow (set LANGFLOW_DEFAULT_FLOW_ID)
curl -X POST http://localhost:5678/webhook/langflow-run \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Summarize this article"
  }'

Response:

{
  "text": "Here's your marketing email...",
  "session_id": "uuid",
  "outputs": [
    {"component": "ChatInput-abc123", "type": "chat"}
  ]
}

Setup

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

Integration with ODS

Connect Langflow to ODS's LLM:

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

Langflow vs Flowise

Feature	Langflow	Flowise
Framework	LangChain	LangChain / custom
Components	LangChain native	Pre-built nodes
Custom Code	Python components	JavaScript functions
API	Simpler	More flexible

Choose Langflow for LangChain-native workflows. Choose Flowise for more pre-built integrations.

Resources

• Langflow API Docs
• n8n Webhook Node