n8n Counseling Chatbot Workflow

This n8n workflow provides a foundation for building a counseling chatbot, leveraging AI to process user input and generate responses. It demonstrates a basic conversational flow, including receiving user messages, processing them with an AI agent, and preparing a response.

What it does

This workflow automates the following steps:

1. Receives User Input: It starts by listening for incoming messages via a webhook, acting as the entry point for user interactions with the chatbot.
2. Processes with AI Agent: It then feeds the received message to an AI Agent (likely a LangChain agent) which is configured to handle conversational logic and generate appropriate responses.
3. Generates AI Response: The AI Agent utilizes an Azure OpenAI Chat Model to understand the context and formulate a relevant, empathetic response.
4. Prepares Output: Finally, it prepares the AI-generated response for output, though the specific output mechanism (e.g., sending back to the user via another webhook or messaging platform) is not explicitly defined in this snippet.
5. Conditional Logic (Placeholder): Includes an 'If' node, suggesting potential future expansion for conditional routing or response variations based on AI output or user input, although its current configuration is not detailed.
6. Data Transformation (Placeholder): Contains an 'Edit Fields (Set)' node, indicating that data manipulation or preparation might occur before or after AI processing, though its current configuration is not detailed.
7. HTTP Request (Placeholder): Includes an 'HTTP Request' node, which could be used for integrating with external services, logging, or sending the final response, but its current configuration is not detailed.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• Azure OpenAI Account: Access to Azure OpenAI services with a deployed chat model.
• LangChain Credentials: Appropriate credentials and configuration for the LangChain AI Agent to interact with Azure OpenAI.
• Webhook Endpoint: An external service or application that can send HTTP requests to the n8n webhook and receive responses.

Setup/Usage

1. Import the Workflow:
   • Copy the provided JSON content.
   • In your n8n instance, go to "Workflows" and click "New".
   • Click on the three dots menu (⋮) in the top right, select "Import from JSON", and paste the workflow JSON.
2. Configure Credentials:
   • Azure OpenAI Chat Model: Configure the "Azure OpenAI Chat Model" node with your Azure OpenAI API key, endpoint, and deployment name.
   • AI Agent: Ensure the "AI Agent" node is correctly configured to use the Azure OpenAI Chat Model and any necessary tools or prompts for your counseling chatbot.
3. Activate Webhook:
   • The "Webhook" node will provide a unique URL once the workflow is saved and activated. This URL is where your external application (e.g., a messaging platform, a custom frontend) should send user messages.
4. Customize Logic:
   • If Node: The "If" node is currently a placeholder. You can configure it to implement conditional logic based on the AI agent's response or specific keywords in the user's input.
   • Edit Fields (Set) Node: The "Edit Fields (Set)" node can be used to format the data before sending it to the AI agent or after receiving the response.
   • HTTP Request Node: The "HTTP Request" node can be configured to send the AI-generated response back to the user's messaging platform or to log the conversation.
5. Test the Workflow:
   • Send a test message to the webhook URL from your external application to verify the workflow processes the message and the AI agent responds as expected.