Flowise

Flowise is an open-source, low-code tool designed to help developers build customized applications using Large Language Models (LLMs). It provides a drag-and-drop interface to create and manage LLM orchestration flows and AI agents.

How to Integrate Flowise with ZBrain Flow

To integrate Flowise, please follow these steps:

1. Click the '+' button in ZBrain Flow and search for Flowise.

2. Select an available action to begin setup.

How to Connect Flowise to ZBrain Flow

1. Enter Connection Name – Assign a unique name to identify the connection easily.

2. Enter Base URL & API Key – Required for authentication and secure access to Flowise.

How to Find the Base URL & API Key in Flowise

• Base URL: The default Flowise API URL is http://localhost:30001. If using a custom setup, check your Flowise configuration.

• API Key:

  • Go to Settings or Credentials in Flowise.

  • Generate a new credential.

  • If integrating OpenRouter or TogetherAI, use the corresponding API key and configure it in Flowise.

1. Click ‘Save’ – This completes the connection setup, enabling communication between Flowise and ZBrain Flow.

Actions Available in ZBrain Flow

Make Prediction

Use Flowise’s AI capabilities to process inputs and generate insights.

Configuration Steps:

• Chatflow ID – Specifies the Flowise chat model to use.

• Question/Input – The query or data to be analyzed.

• History (Optional) – Provides context for better predictions.

• Override Config (Optional) – Customizes model behavior as needed.

Note: Click ‘f’ to insert dynamic values where necessary.

Custom API Call

Send API requests to Flowise for advanced workflows and automation.

Configuration Steps:

1. Select a Connection – Choose an existing connection or create a new one.

2. Select HTTP Method – Determines the request type:

   • GET – Retrieve data from Flowise.

   • POST – Send new data for processing.

   • PATCH – Modify existing data partially.

   • PUT – Replace existing data entirely.

   • DELETE – Remove data.

   • HEAD – Retrieve response headers only.

3. Add Headers – Define custom request headers (Authorization headers are auto-injected).

4. Add Query Parameters – Customize API behavior with key-value pairs.

5. Enter JSON Body – Provide structured request data in JSON format.

6. Set Timeout – Define how long the request should wait before timing out.

Note: Click ‘f’ to insert dynamic values for flexible configurations.