v1.0

configs/dbgpt-local-llama-cpp.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "DeepSeek-R1-Distill-Qwen-1.5B"
+provider = "llama.cpp"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# https://huggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-1.5B-GGUF
+# path = "the-model-path-in-the-local-file-system"
+path = "models/DeepSeek-R1-Distill-Qwen-1.5B-Q4_K_M.gguf"
+
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/BAAI/bge-large-zh-v1.5"
+

configs/dbgpt-local-qwen.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "Qwen2.5-Coder-0.5B-Instruct"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/Qwen2.5-Coder-0.5B-Instruct"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/BAAI/bge-large-zh-v1.5"
+

configs/dbgpt-local-qwq32b.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "Qwen/QwQ-32B"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/Qwen/QwQ-32B"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/BAAI/bge-large-zh-v1.5"

configs/dbgpt-local-vllm.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "DeepSeek-R1-Distill-Qwen-1.5B"
+provider = "vllm"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/DeepSeek-R1-Distill-Qwen-1.5B"
+# dtype = "float32"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "/data/models/bge-large-zh-v1.5"
+

configs/dbgpt-proxy-deepseek.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+[service.model.worker]
+host = "127.0.0.1"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "deepseek-reasoner"
+# name = "deepseek-chat"
+provider = "proxy/deepseek"
+api_key = "your_deepseek_api_key"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "hf"
+# If not provided, the model will be downloaded from the Hugging Face model hub
+# uncomment the following line to specify the model path in the local file system
+# path = "the-model-path-in-the-local-file-system"
+path = "models/bge-large-zh-v1.5"

configs/dbgpt-proxy-ollama.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-en}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "deepseek-r1:1.5b"
+provider = "proxy/ollama"
+api_base = "http://localhost:11434"
+api_key = ""
+
+[[models.embeddings]]
+name = "bge-m3:latest"
+provider = "proxy/ollama"
+api_url = "http://localhost:11434"
+api_key = ""

configs/dbgpt-proxy-openai.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-en}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "${env:LLM_MODEL_NAME:-gpt-4o}"
+provider = "${env:LLM_MODEL_PROVIDER:-proxy/openai}"
+api_base = "${env:OPENAI_API_BASE:-https://api.openai.com/v1}"
+api_key = "${env:OPENAI_API_KEY}"
+
+[[models.embeddings]]
+name = "${env:EMBEDDING_MODEL_NAME:-text-embedding-3-small}"
+provider = "${env:EMBEDDING_MODEL_PROVIDER:-proxy/openai}"
+api_url = "${env:EMBEDDING_MODEL_API_URL:-https://api.openai.com/v1/embeddings}"
+api_key = "${env:OPENAI_API_KEY}"

configs/dbgpt-proxy-siliconflow-mysql.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "mysql"
+host = "${env:MYSQL_HOST:-127.0.0.1}"
+port = "${env:MYSQL_PORT:-3306}"
+database = "${env:MYSQL_DATABASE:-dbgpt}"
+user = "${env:MYSQL_USER:-root}"
+password ="${env:MYSQL_PASSWORD:-aa123456}"
+
+[service.model.worker]
+host = "127.0.0.1"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "Qwen/Qwen2.5-Coder-32B-Instruct"
+provider = "proxy/siliconflow"
+api_key = "${env:SILICONFLOW_API_KEY}"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "proxy/openai"
+api_url = "https://api.siliconflow.cn/v1/embeddings"
+api_key = "${env:SILICONFLOW_API_KEY}"
+
+[[models.rerankers]]
+type = "reranker"
+name = "BAAI/bge-reranker-v2-m3"
+provider = "proxy/siliconflow"
+api_key = "${env:SILICONFLOW_API_KEY}"

configs/dbgpt-proxy-siliconflow.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-zh}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+[service.model.worker]
+host = "127.0.0.1"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "Qwen/Qwen2.5-Coder-32B-Instruct"
+provider = "proxy/siliconflow"
+api_key = "${env:SILICONFLOW_API_KEY}"
+
+[[models.embeddings]]
+name = "BAAI/bge-large-zh-v1.5"
+provider = "proxy/openai"
+api_url = "https://api.siliconflow.cn/v1/embeddings"
+api_key = "${env:SILICONFLOW_API_KEY}"
+
+[[models.rerankers]]
+type = "reranker"
+name = "BAAI/bge-reranker-v2-m3"
+provider = "proxy/siliconflow"
+api_key = "${env:SILICONFLOW_API_KEY}"

configs/dbgpt-proxy-tongyi.toml

+[system]
+# Load language from environment variable(It is set by the hook)
+language = "${env:DBGPT_LANG:-en}"
+api_keys = []
+encrypt_key = "your_secret_key"
+
+# Server Configurations
+[service.web]
+host = "0.0.0.0"
+port = 5670
+
+[service.web.database]
+type = "sqlite"
+path = "pilot/meta_data/dbgpt.db"
+
+[rag.storage]
+[rag.storage.vector]
+type = "chroma"
+persist_path = "pilot/data"
+
+# Model Configurations
+[models]
+[[models.llms]]
+name = "qwen-plus"
+provider = "${env:LLM_MODEL_PROVIDER:proxy/tongyi}"
+api_base = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+api_key = "${env:DASHSCOPE_API_KEY}"
+
+[[models.embeddings]]
+name = "text-embedding-v3"
+provider = "${env:EMBEDDING_MODEL_PROVIDER:proxy/tongyi}"
+api_url = "https://dashscope.aliyuncs.com/compatible-mode/v1/embeddings"
+api_key = "${env:DASHSCOPE_API_KEY}"

docker-compose.yml

+# To run current docker compose file, you should prepare the silliconflow api key in your environment.
+# SILICONFLOW_API_KEY=${SILICONFLOW_API_KEY} docker compose up -d
+services:
+  db:
+    image: mysql/mysql-server
+    environment:
+      MYSQL_USER: 'user'
+      MYSQL_PASSWORD: 'password'
+      MYSQL_ROOT_PASSWORD: 'aa123456'
+    ports:
+      - 3306:3306
+    volumes:
+      - dbgpt-myql-db:/var/lib/mysql
+      - ./docker/examples/my.cnf:/etc/my.cnf
+      - ./docker/examples/sqls:/docker-entrypoint-initdb.d
+      - ./assets/schema/dbgpt.sql:/docker-entrypoint-initdb.d/dbgpt.sql
+    restart: unless-stopped
+    networks:
+      - dbgptnet
+  webserver:
+    image: eosphorosai/dbgpt-openai:latest
+    command: dbgpt start webserver --config /app/configs/dbgpt-proxy-siliconflow-mysql.toml
+    environment:
+      - SILICONFLOW_API_KEY=${SILICONFLOW_API_KEY}
+      - MYSQL_PASSWORD=aa123456
+      - MYSQL_HOST=db
+      - MYSQL_PORT=3306
+      - MYSQL_DATABASE=dbgpt
+      - MYSQL_USER=root
+    volumes:
+      - ./configs:/app/configs
+      - /data:/data
+      # May be you can mount your models to container
+      - /data/models:/app/models
+      - dbgpt-data:/app/pilot/data
+      - dbgpt-message:/app/pilot/message
+    depends_on:
+      - db
+    ports:
+      - 5670:5670/tcp
+    # webserver may be failed, it must wait all sqls in /docker-entrypoint-initdb.d execute finish.
+    restart: unless-stopped
+    networks:
+      - dbgptnet
+    ipc: host
+volumes:
+  dbgpt-myql-db:
+  dbgpt-data:
+  dbgpt-message:
+  dbgpt-alembic-versions:
+networks:
+  dbgptnet:
+    driver: bridge
+    name: dbgptnet
\ No newline at end of file

docker/Dockerfile

+FROM image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.4.1-ubuntu22.04-dtk25.04-py3.10-fixpy
+ENV DEBIAN_FRONTEND=noninteractive
+# RUN yum update && yum install -y git cmake wget build-essential
+# RUN source /opt/dtk-dtk25.04/env.sh
+# # 安装pip相关依赖
+COPY requirements.txt requirements.txt
+RUN pip3 install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
+