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

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