> ## Documentation Index
> Fetch the complete documentation index at: https://doc.starrise.tech/llms.txt
> Use this file to discover all available pages before exploring further.

# Using with DB-GPT

> Integrate Starrise AI models with DB-GPT — an open-source AI-native data application development framework.

## 1. About DB-GPT

[DB-GPT](https://github.com/eosphoros-ai/DB-GPT) is an open-source AI-native data application development framework that provides capabilities including multi-model management, Text2SQL optimization, a RAG framework, and Multi-Agent collaboration.

## 2. Get Your API Key

Open the [Starrise AI Console](https://ai.alad.com/) and register an account (or log in if you already have one). After registering, go to **API Keys**, create a new API key, and copy it for later use.

## 3. Deploy DB-GPT

### 3.1 Clone the DB-GPT Repository

```bash theme={null}
git clone https://github.com/eosphoros-ai/DB-GPT.git
cd DB-GPT
```

### 3.2 Create a Virtual Environment and Install Dependencies

```bash theme={null}
conda create -n dbgpt_env python=3.10
conda activate dbgpt_env
pip install -e ".[proxy]"
```

### 3.3 Configure Environment Variables

```bash theme={null}
cp .env.template .env
```

Edit the `.env` file to configure the Starrise AI model:

```ini theme={null}
# Use Starrise AI as the proxy model
LLM_MODEL=proxy_openai
PROXY_OPENAI_API_BASE=https://ai.alad.com/v1
PROXY_OPENAI_API_KEY={your-starrise-api-key}
PROXY_OPENAI_BACKEND=gpt-4o

# Embedding model configuration
EMBEDDING_MODEL=proxy_http_openapi
PROXY_HTTP_OPENAPI_PROXY_SERVER_URL=https://ai.alad.com/v1/embeddings
PROXY_HTTP_OPENAPI_PROXY_API_KEY={your-starrise-api-key}
PROXY_HTTP_OPENAPI_PROXY_BACKEND=text-embedding-3-small
```

### 3.4 Start the DB-GPT Service

```bash theme={null}
dbgpt start webserver --port 5670
```

Open [http://127.0.0.1:5670/](http://127.0.0.1:5670/) in your browser to access the interface.

## 4. Using Starrise AI Models via the DB-GPT Python SDK

### 4.1 Installation

```bash theme={null}
pip install "dbgpt>=0.6.3rc2" openai
```

### 4.2 Using Starrise AI LLMs

```python theme={null}
from openai import OpenAI

client = OpenAI(
    api_key="{your-starrise-api-key}",
    base_url="https://ai.alad.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant."},
        {"role": "user", "content": "Hello"}
    ]
)
print(response.choices[0].message.content)
```

## 5. Getting Started Guide

1. **Add a Data Source** — Choose a database type (e.g. MySQL, PostgreSQL) and connect.
2. **Select ChatData Conversation Type** — Use natural language to interact with your data.
3. **Start Data Conversation** — Select a Starrise AI model and the corresponding database to begin your data dialogue.