Proxy LLMs

DB-GPT can be deployed on servers with lower hardware requirements through proxy LLMs. DB-GPT supports many proxy LLMs, such as OpenAI, Azure, DeepSeek, Ollama, and more.

Installation and Configuration

Installing DB-GPT with proxy LLM support requires using the uv package manager for a faster and more stable dependency management experience.

OpenAI

Install Dependencies

# Use uv to install dependencies needed for OpenAI proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_openai" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure OpenAI

Edit the configs/dbgpt-proxy-openai.toml configuration file to specify your OpenAI API key:

# Model Configurations
[models]
[[models.llms]]
name = "gpt-3.5-turbo"
provider = "proxy/openai"
api_key = "your-openai-api-key"
# Optional: To use GPT-4, change the name to "gpt-4" or "gpt-4-turbo"

[[models.embeddings]]
name = "text-embedding-ada-002"
provider = "proxy/openai"
api_key = "your-openai-api-key"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-openai.toml

Azure

Install Dependencies

# Use uv to install dependencies needed for Azure OpenAI proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_openai" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure Azure OpenAI

Edit the configs/dbgpt-proxy-azure.toml configuration file to specify your Azure OpenAI settings:

# Model Configurations
[models]
[[models.llms]]
name = "gpt-35-turbo"  # or your deployment model name
provider = "proxy/openai"
api_base = "https://your-resource-name.openai.azure.com/"
api_key = "your-azure-openai-api-key"
api_version = "2023-05-15"  # or your specific API version
api_type = "azure"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-azure.toml

DeepSeek

Install Dependencies

# Use uv to install dependencies needed for DeepSeek proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_openai" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure DeepSeek

Edit the configs/dbgpt-proxy-deepseek.toml configuration file to specify your DeepSeek API key:

# Model Configurations
[models]
[[models.llms]]
# name = "deepseek-chat"
name = "deepseek-reasoner"
provider = "proxy/deepseek"
api_key = "your-deepseek-api-key"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-deepseek.toml

Ollama

Install Dependencies

# Use uv to install dependencies needed for Ollama proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_ollama" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure Ollama

Edit the configs/dbgpt-proxy-ollama.toml configuration file to specify your Ollama API base:

# Model Configurations
[models]
[[models.llms]]
name = "llama3"  # or any other model available in your Ollama instance
provider = "proxy/ollama"
api_base = "http://localhost:11434" # your-ollama-api-base

[[models.embeddings]]
name = "nomic-embed-text"  # or any other embedding model in Ollama
provider = "proxy/ollama"
api_base = "http://localhost:11434" # your-ollama-api-base

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-ollama.toml

Qwen

Install Dependencies

# Use uv to install dependencies needed for Aliyun Qwen (Tongyi) proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_tongyi" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure Qwen

Create or edit a configuration file (e.g., configs/dbgpt-proxy-tongyi.toml):

# Model Configurations
[models]
[[models.llms]]
name = "qwen-turbo"  # or qwen-max, qwen-plus
provider = "proxy/tongyi"
api_key = "your-tongyi-api-key"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-tongyi.toml

ChatGLM

Install Dependencies

# Use uv to install dependencies needed for Zhipu (ChatGLM) proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_zhipuai" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure ChatGLM

Create or edit a configuration file (e.g., configs/dbgpt-proxy-zhipu.toml):

# Model Configurations
[models]
[[models.llms]]
name = "glm-4"  # or other available model versions
provider = "proxy/zhipu"
api_key = "your-zhipu-api-key"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-zhipu.toml

WenXin

Install Dependencies

# Use uv to install dependencies needed for Baidu WenXin proxy
uv sync --all-packages \
--extra "base" \
--extra "proxy_openai" \
--extra "rag" \
--extra "storage_chromadb" \
--extra "dbgpts"

Configure WenXin

Create or edit a configuration file (e.g., configs/dbgpt-proxy-wenxin.toml):

# Model Configurations
[models]
[[models.llms]]
name = "ERNIE-Bot-4.0"  # or ernie-bot, ernie-bot-turbo
provider = "proxy/wenxin"
api_key = "your-wenxin-api-key"
api_secret = "your-wenxin-api-secret"

Run Webserver

uv run dbgpt start webserver --config configs/dbgpt-proxy-wenxin.toml

note

If you are in the China region, you can add --index-url=https://pypi.tuna.tsinghua.edu.cn/simple at the end of the uv sync command for faster package downloads.

Visit Website

After starting the webserver, open your browser and visit http://localhost:5670