Chatbot

1. Create Chat Agent

• Create Project

• Create a Chat Agent at Project > Chat Table > New Agent

• Configure your agent. You can define the following parameters.

Parameter	Description
Agent ID	Name of Agent
Model	LLM model
Temperature
Max tokens
Top-p
System Prompt	Define the persona of the model
User message	Define the conversational opener between User and AI
AI response	Define the conversational opener between User and AI

2. Get the following information to start using JamAIBase

• Get the Agent ID.

• Get the Project ID.

• Create JamAI API Key at Organization > Secrets > Create API Key.

3. Clone the Chatbot Example

git clone https://github.com/EmbeddedLLM/jamaibase-cookbook

# example is at https://github.com/EmbeddedLLM/jamaibase-cookbook/tree/main/quickstart/nlux/0002-chat-with-jamai-agent-express

4. Create .env file

Create an.env file at `0002-chat-with-jamai-agent-express/server` with the following content.

// 0002-chat-with-jamai-agent-express/server.env
```properties
BASEURL="https://api.jamaibase.com"
JAMAI_APIKEY="<jamaibase-api-key>"
PROJECT_ID="<jamaibase-project-id>"
AGENT_ID="<your-agent-id"

5. Start app

cd jamaibase-cookbook/quickstart/nlux/0002-chat-with-jamai-agent-expressjs
npm install

# on first terminal
npm run server

# on second terminal
npm run app

• Open up your app at http://localhost:5173 .

6. Manage and View Conversation Histories in Chat Table