My Personal AI Assistant

What is this feature?

A tool that simplifies creating personalized, interactive AI agents with ease.

Designed to enhance efficiency and engagement, it supports users in everyday tasks, learning, and content creation.

Use Case Example

Structure of Conversational Agent

First, sign up or log-in to WindyFlo.

1. Create a new pipeline.

1) On the menu, go to My Pipelines and click 'Create Pipeline.'

2) Fill in the pipeline details, and

click Create AI Model Pipeline.

• Pipeline Name: Name your pipeline.
• Description: Summarize the purpose of the pipeline.
• Tags: Add tags to make your pipeline easier to discover.
• Public/Private: Choose whether to keep the pipeline public or private.

2. Build your pipeline.

1) Select Pipeline on the left-side menu.

This will open your workspace for this pipeline.

2) Click Add Node, search the node you need, and drag it onto the workspace.

Node List :

• ChatOpenAI or CahtAnthropic
• Buffer Memory
• Conversational Agent
• any Tools(Features want ex. Serp API: Internet search Tool)

3) Connect the nodes.

Node connection order :

1. ChatOpenAI -> Conversational Agent
2. Buffer Memory -> Conversational Agent
3. any Tools -> Conversational Agent

4) Configure the node parameters.

1. ChatOpenAI
   • Connect Credential : Enter the external service API.
   • Model name : Select GPT-4 (latest) for smooth conversation.
   • Temperature : Set to 0.7 for creativity and consistency in responses.
2. any Tools
   • Set according to the requirements of the tool using
3. Conversational Agent
   • Additional Parameters : Complete the prompts to set detailed options for the feature.

3. Save and test-run.

1) Click Save, and then click Run.

2) Type a command to test the pipeline.

Example:
{You are an OO news announcer. Answer users' questions and tell them what they need to know by searching the Internet.}

Q: {Tell me the news about the stocks I bought last week.}

4. Share the Pipeline

Share via API

1) Save your pipeline, and then click 'Embed as API.'

To make it accessible via API or embedded on a website.

2) Choose your preferred language (HTML, React, Python, JavaScript, or CURL) and copy-paste the generated code into your service.

Use as chatbot

1) Alternatively, to share it as a chatbot with no additional integration, select Share Chatbot.

• This feature is only available for pipelines that function as chatbots.
• Pipelines designed for data processing may not support this feature.

2) Customize the chatbot settings (e.g., title, welcome message) and click the new tab icon to launch.

• Left icon: Copy link
• Right icon: Open link

3) Test your chatbot by entering a query in the "Type your question..." field.

• Once testing is complete, copy the link and share it with your audience!