1、安装Docker
# 安装Docker
https://docs.docker.com/get-docker/
# 安装Docker Compose
https://docs.docker.com/compose/install/
# CentOS安装Docker
https://mp.weixin.qq.com/s/nHNPbCmdQs3E5x1QBP-ueA2、安装Coze Studio
详见：https://github.com/coze-dev/coze-studio/blob/main/README.zh_CN.md安装要求：
创建目录：
mkdir coze-studio切换目录：
cd coze-studio下载：
wget https://github.com/coze-dev/coze-studio/archive/refs/tags/v0.2.4.tar.gz解压：
tar -xf v0.2.4.tar.gz切换目录：
cd coze-studio-0.2.4/模板文件目录：
详见：https://github.com/coze-dev/coze-studio/tree/main/backend/conf/model/template
复制模型配置模板：
# 请根据实际情况选择对应的模型配置模板，当前选择gemini
cp backend/conf/model/template/model_template_gemini.yaml \
backend/conf/model/gemini.yaml
# 请根据实际情况选择对应的模型配置模板，当前选择deepseek
cp backend/conf/model/template/model_template_deepseek.yaml \
backend/conf/model/deepseek.yaml查看模型配置模版：
id: 67010
name: Gemini-2.5-Flash
icon_uri: default_icon/gemini_v2.png
icon_url: ""
description:
zh: gemini 模型简介
en: gemini model description
default_parameters:
- name: temperature
label:
zh: 生成随机性
en: Temperature
desc:
zh: '- **temperature**: 调高温度会使得模型的输出更多样性和创新性，反之，降低温度会使输出内容更加遵循指令要求但减少多样性。建议不要与"Top p"同时调整。'
en: '**Temperature**:\n\n- When you increase this value, the model outputs more diverse and innovative content; when you decrease it, the model outputs less diverse content that strictly follows the given instructions.\n- It is recommended not to adjust this value with \"Top p\" at the same time.'
type: float
min: "0"
max: "1"
default_val:
balance: "0.8"
creative: "1"
default_val: "1.0"
precise: "0.3"
precision: 1
options: []
style:
widget: slider
label:
zh: 生成多样性
en: Generation diversity
- name: max_tokens
label:
zh: 最大回复长度
en: Response max length
desc:
zh: 控制模型输出的Tokens 长度上限。通常 100 Tokens 约等于 150 个中文汉字。
en: You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters.
type: int
min: "1"
max: "4096"
default_val:
default_val: "4096"
options: []
style:
widget: slider
label:
zh: 输入及输出设置
en: Input and output settings
- name: top_p
label:
zh: Top P
en: Top P
desc:
zh: '- **Top p 为累计概率**: 模型在生成输出时会从概率最高的词汇开始选择，直到这些词汇的总概率累积达到Top p 值。这样可以限制模型只选择这些高概率的词汇，从而控制输出内容的多样性。建议不要与"生成随机性"同时调整。'
en: '**Top P**:\n\n- An alternative to sampling with temperature, where only tokens within the top p probability mass are considered. For example, 0.1 means only the top 10% probability mass tokens are considered.\n- We recommend altering this or temperature, but not both.'
type: float
min: "0"
max: "1"
default_val:
default_val: "0.7"
precision: 2
options: []
style:
widget: slider
label:
zh: 生成多样性
en: Generation diversity
- name: response_format
label:
zh: 输出格式
en: Response format
desc:
zh: '- **文本**: 使用普通文本格式回复\n- **JSON**: 将引导模型使用JSON格式输出'
en: '**Response Format**:\n\n- **JSON**: Uses JSON format for replies'
type: int
min: ""
max: ""
default_val:
default_val: "0"
options:
- label: Text
value: "0"
- label: JSON
value: "2"
style:
widget: radio_buttons
label:
zh: 输入及输出设置
en: Input and output settings
meta:
protocol: gemini
capability:
function_call: true
input_modal:
- text
- image
- audio
- video
input_tokens: 1048576
json_mode: true
max_tokens: 1114112
output_modal:
- text
output_tokens: 65536
prefix_caching: true
reasoning: true
prefill_response: true
conn_config:
base_url: "https://generativelanguage.googleapis.com/"
api_key: ""
timeout: 0s
model: gemini-2.5-flash
temperature: 0.7
frequency_penalty: 0
presence_penalty: 0
max_tokens: 4096
top_p: 1
top_k: 0
stop: []
gemini:
backend: 0
project: ""
location: ""
api_version: ""
headers:
key_1:
- val_1
- val_2
timeout_ms: 0
include_thoughts: true
thinking_budget: null
custom: {}
status: 0
id: 66010
name: DeepSeek-V3
icon_uri: default_icon/deepseek_v2.png
icon_url: ""
description:
zh: deepseek 模型简介
en: deepseek model description
default_parameters:
- name: temperature
label:
zh: 生成随机性
en: Temperature
desc:
zh: '- **temperature**: 调高温度会使得模型的输出更多样性和创新性，反之，降低温度会使输出内容更加遵循指令要求但减少多样性。建议不要与"Top p"同时调整。'
en: '**Temperature**:\n\n- When you increase this value, the model outputs more diverse and innovative content; when you decrease it, the model outputs less diverse content that strictly follows the given instructions.\n- It is recommended not to adjust this value with \"Top p\" at the same time.'
type: float
min: "0"
max: "1"
default_val:
balance: "0.8"
creative: "1"
default_val: "1.0"
precise: "0.3"
precision: 1
options: []
style:
widget: slider
label:
zh: 生成随机性
en: Generation diversity
- name: max_tokens
label:
zh: 最大回复长度
en: Response max length
desc:
zh: 控制模型输出的Tokens 长度上限。通常 100 Tokens 约等于 150 个中文汉字。
en: You can specify the maximum length of the tokens output through this value. Typically, 100 tokens are approximately equal to 150 Chinese characters.
type: int
min: "1"
max: "4096"
default_val:
default_val: "4096"
options: []
style:
widget: slider
label:
zh: 输入及输出设置
en: Input and output settings
- name: response_format
label:
zh: 输出格式
en: Response format
desc:
zh: '- **文本**: 使用普通文本格式回复\n- **JSON**: 将引导模型使用JSON格式输出'
en: '**Response Format**:\n\n- **Text**: Replies in plain text format\n- **Markdown**: Uses Markdown format for replies\n- **JSON**: Uses JSON format for replies'
type: int
min: ""
max: ""
default_val:
default_val: "0"
options:
- label: Text
value: "0"
- label: JSON Object
value: "1"
style:
widget: radio_buttons
label:
zh: 输入及输出设置
en: Input and output settings
meta:
protocol: deepseek
capability:
function_call: false
input_modal:
- text
input_tokens: 128000
json_mode: false
max_tokens: 128000
output_modal:
- text
output_tokens: 16384
prefix_caching: false
reasoning: false
prefill_response: false
conn_config:
base_url: "https://api.deepseek.com"
api_key: "sk-89fb15811b6944e09cfc2fe257274a18"
timeout: 0s
model: "DeepSeek-R1-0528"
temperature: 0.7
frequency_penalty: 0
presence_penalty: 0
max_tokens: 4096
top_p: 1
top_k: 0
stop: []
deepseek:
response_format_type: text
custom: {}
status: 0修改模型配置模版：
说明：
设置id、meta.conn_config.api_key、meta.conn_config.model字段
# 获取gemini的API key地址：
https://aistudio.google.com/apikey
# 获取deepseek的API key地址：
https://platform.deepseek.com/api_keys
https://api-docs.deepseek.com/zh-cn/切换目录：
cd docker复制.env.example文件：
cp .env.example .env查看.env文件：
详见：https://github.com/coze-dev/coze-studio/blob/main/docker/.env.example
# Server
export LISTEN_ADDR=":8888"
export LOG_LEVEL="debug"
export MAX_REQUEST_BODY_SIZE=1073741824
export SERVER_HOST="http://localhost${LISTEN_ADDR}"
export MINIO_PROXY_ENDPOINT=""
export USE_SSL="0"
export SSL_CERT_FILE=""
export SSL_KEY_FILE=""
# MySQL
export MYSQL_ROOT_PASSWORD=root
export MYSQL_DATABASE=opencoze
export MYSQL_USER=coze
export MYSQL_PASSWORD=coze123
export MYSQL_HOST=mysql
export MYSQL_PORT=3306
export MYSQL_DSN="${MYSQL_USER}:${MYSQL_PASSWORD}@tcp(${MYSQL_HOST}:${MYSQL_PORT})/${MYSQL_DATABASE}?charset=utf8mb4&parseTime=True"
export ATLAS_URL="mysql://${MYSQL_USER}:${MYSQL_PASSWORD}@${MYSQL_HOST}:${MYSQL_PORT}/${MYSQL_DATABASE}?charset=utf8mb4&parseTime=True"
# Redis
export REDIS_AOF_ENABLED=no
export REDIS_IO_THREADS=4
export ALLOW_EMPTY_PASSWORD=yes
export REDIS_ADDR="redis:6379"
export REDIS_PASSWORD=""
# This Upload component used in Agent / workflow File/Image With LLM , support the component of imagex / storage
# default: storage, use the settings of storage component
# if imagex, you must finish the configuration of <VolcEngine ImageX>
export FILE_UPLOAD_COMPONENT_TYPE="storage"
# VolcEngine ImageX
export VE_IMAGEX_AK=""
export VE_IMAGEX_SK=""
export VE_IMAGEX_SERVER_ID=""
export VE_IMAGEX_DOMAIN=""
export VE_IMAGEX_TEMPLATE=""
export VE_IMAGEX_UPLOAD_HOST="https://imagex.volcengineapi.com"
# Storage component
export STORAGE_TYPE="minio" # minio / tos / s3
export STORAGE_UPLOAD_HTTP_SCHEME="http" # http / https. If coze studio website is https, you must set it to https
export STORAGE_BUCKET="opencoze"
# MiniIO
export MINIO_ROOT_USER=minioadmin
export MINIO_ROOT_PASSWORD=minioadmin123
export MINIO_DEFAULT_BUCKETS=milvus
export MINIO_AK=$MINIO_ROOT_USER
export MINIO_SK=$MINIO_ROOT_PASSWORD
export MINIO_ENDPOINT="minio:9000"
export MINIO_API_HOST="http://${MINIO_ENDPOINT}"
# TOS
export TOS_ACCESS_KEY=
export TOS_SECRET_KEY=
export TOS_ENDPOINT=https://tos-cn-beijing.volces.com
export TOS_BUCKET_ENDPOINT=https://opencoze.tos-cn-beijing.volces.com
export TOS_REGION=cn-beijing
# S3
export S3_ACCESS_KEY=
export S3_SECRET_KEY=
export S3_ENDPOINT=
export S3_BUCKET_ENDPOINT=
export S3_REGION=
# Elasticsearch
export ES_ADDR="http://elasticsearch:9200"
export ES_VERSION="v8"
export ES_USERNAME=""
export ES_PASSWORD=""
export COZE_MQ_TYPE="nsq" # nsq / kafka / rmq
export MQ_NAME_SERVER="nsqd:4150"
# RocketMQ
export RMQ_ACCESS_KEY=""
export RMQ_SECRET_KEY=""
# Settings for VectorStore
# VectorStore type: milvus / vikingdb
# If you want to use vikingdb, you need to set up the vikingdb configuration.
export VECTOR_STORE_TYPE="milvus"
# milvus vector store
export MILVUS_ADDR="milvus:19530"
# vikingdb vector store for Volcengine
export VIKING_DB_HOST=""
export VIKING_DB_REGION=""
export VIKING_DB_AK=""
export VIKING_DB_SK=""
export VIKING_DB_SCHEME=""
export VIKING_DB_MODEL_NAME="" # if vikingdb model name is not set, you need to set Embedding settings
# Settings for Embedding
# The Embedding model relied on by knowledge base vectorization does not need to be configured
# if the vector database comes with built-in Embedding functionality (such as VikingDB). Currently,
# Coze Studio supports four access methods: openai, ark, ollama, and custom http. Users can simply choose one of them when using
# embedding type: openai / ark / ollama / http
export EMBEDDING_TYPE="ark"
export EMBEDDING_MAX_BATCH_SIZE=100
# openai embedding
export OPENAI_EMBEDDING_BASE_URL="" # (string, required) OpenAI embedding base_url
export OPENAI_EMBEDDING_MODEL="" # (string, required) OpenAI embedding model
export OPENAI_EMBEDDING_API_KEY="" # (string, required) OpenAI embedding api_key
export OPENAI_EMBEDDING_BY_AZURE=false # (bool, optional) OpenAI embedding by_azure
export OPENAI_EMBEDDING_API_VERSION="" # (string, optional) OpenAI embedding azure api version
export OPENAI_EMBEDDING_DIMS=1024 # (int, required) OpenAI embedding dimensions
export OPENAI_EMBEDDING_REQUEST_DIMS=1024 # (int, optional) OpenAI embedding dimensions in requests, need to be empty if api doesn't support specifying dimensions.
# ark embedding by volcengine / byteplus
export ARK_EMBEDDING_MODEL="" # (string, required) Ark embedding model
export ARK_EMBEDDING_API_KEY="" # (string, required) Ark embedding api_key
export ARK_EMBEDDING_DIMS="2048" # (int, required) Ark embedding dimensions
export ARK_EMBEDDING_BASE_URL="" # (string, required) Ark embedding base_url
export ARK_EMBEDDING_API_TYPE="" # (string, optional) Ark embedding api type, should be "text_api" / "multi_modal_api". Default "text_api".
# ollama embedding
export OLLAMA_EMBEDDING_BASE_URL="" # (string, required) Ollama embedding base_url
export OLLAMA_EMBEDDING_MODEL="" # (string, required) Ollama embedding model
export OLLAMA_EMBEDDING_DIMS="" # (int, required) Ollama embedding dimensions
# http embedding
export HTTP_EMBEDDING_ADDR="" # (string, required) http embedding address
export HTTP_EMBEDDING_DIMS=1024 # (string, required) http embedding dimensions
# Settings for OCR
# If you want to use the OCR-related functions in the knowledge base feature，You need to set up the OCR configuration.
# Currently, Coze Studio has built-in Volcano OCR.
# Supported OCR types: `ve`, `paddleocr`
export OCR_TYPE="ve"
# ve ocr
export VE_OCR_AK=""
export VE_OCR_SK=""
# paddleocr ocr
export PADDLEOCR_OCR_API_URL=""
# Settings for Model
# Model for agent & workflow
# add suffix number to add different models
export MODEL_PROTOCOL_0="ark" # protocol
export MODEL_OPENCOZE_ID_0="100001" # id for record
export MODEL_NAME_0="" # model name for show
export MODEL_ID_0="" # model name for connection
export MODEL_API_KEY_0="" # model api key
export MODEL_BASE_URL_0="" # model base url
# Model for knowledge nl2sql, messages2query (rewrite), image annotation, workflow knowledge recall
# add prefix to assign specific model, downgrade to default config when prefix is not configured:
# 1. nl2sql: NL2SQL_ (e.g. NL2SQL_BUILTIN_CM_TYPE)
# 2. messages2query: M2Q_ (e.g. M2Q_BUILTIN_CM_TYPE)
# 3. image annotation: IA_ (e.g. IA_BUILTIN_CM_TYPE)
# 4. workflow knowledge recall: WKR_ (e.g. WKR_BUILTIN_CM_TYPE)
# supported chat model type: openai / ark / deepseek / ollama / qwen / gemini
export BUILTIN_CM_TYPE="ark"
# type openai
export BUILTIN_CM_OPENAI_BASE_URL=""
export BUILTIN_CM_OPENAI_API_KEY=""
export BUILTIN_CM_OPENAI_BY_AZURE=false
export BUILTIN_CM_OPENAI_MODEL=""
# type ark
export BUILTIN_CM_ARK_API_KEY=""
export BUILTIN_CM_ARK_MODEL=""
export BUILTIN_CM_ARK_BASE_URL=""
# type deepseek
export BUILTIN_CM_DEEPSEEK_BASE_URL=""
export BUILTIN_CM_DEEPSEEK_API_KEY=""
export BUILTIN_CM_DEEPSEEK_MODEL=""
# type ollama
export BUILTIN_CM_OLLAMA_BASE_URL=""
export BUILTIN_CM_OLLAMA_MODEL=""
# type qwen
export BUILTIN_CM_QWEN_BASE_URL=""
export BUILTIN_CM_QWEN_API_KEY=""
export BUILTIN_CM_QWEN_MODEL=""
# type gemini
export BUILTIN_CM_GEMINI_BACKEND=""
export BUILTIN_CM_GEMINI_API_KEY=""
export BUILTIN_CM_GEMINI_PROJECT=""
export BUILTIN_CM_GEMINI_LOCATION=""
export BUILTIN_CM_GEMINI_BASE_URL=""
export BUILTIN_CM_GEMINI_MODEL=""
# Workflow Code Runner Configuration
# Supported code runner types: sandbox / local
# Default using local
# - sandbox: execute python code in a sandboxed env with deno + pyodide
# - local: using venv, no env isolation
export CODE_RUNNER_TYPE="local"
# Sandbox sub configuration
# Access restricted to specific environment variables, split with comma, e.g. "PATH,USERNAME"
export CODE_RUNNER_ALLOW_ENV=""
# Read access restricted to specific paths, split with comma, e.g. "/tmp,./data"
export CODE_RUNNER_ALLOW_READ=""
# Write access restricted to specific paths, split with comma, e.g. "/tmp,./data"
export CODE_RUNNER_ALLOW_WRITE=""
# Subprocess execution restricted to specific commands, split with comma, e.g. "python,git"
export CODE_RUNNER_ALLOW_RUN=""
# Network access restricted to specific domains/IPs, split with comma, e.g. "api.test.com,api.test.org:8080"
# The following CDN supports downloading the packages required for pyodide to run Python code. Sandbox may not work properly if removed.
export CODE_RUNNER_ALLOW_NET="cdn.jsdelivr.net"
# Foreign Function Interface access to specific libraries, split with comma, e.g. "/usr/lib/libm.so"
export CODE_RUNNER_ALLOW_FFI=""
# Directory for deno modules, default using pwd. e.g. "/tmp/path/node_modules"
export CODE_RUNNER_NODE_MODULES_DIR=""
# Code execution timeout, default 60 seconds. e.g. "2.56"
export CODE_RUNNER_TIMEOUT_SECONDS=""
# Code execution memory limit, default 100MB. e.g. "256"
export CODE_RUNNER_MEMORY_LIMIT_MB=""
# The function of registration controller
# If you want to disable the registration feature, set DISABLE_USER_REGISTRATION to true. You can then control allowed registrations via a whitelist with ALLOW_REGISTRATION_EMAIL.
export DISABLE_USER_REGISTRATION="" # default "", if you want to disable, set to true
export ALLOW_REGISTRATION_EMAIL="" # is a list of email addresses, separated by ",". Example: "11@example.com,22@example.com"
# Plugin AES secret.
# PLUGIN_AES_AUTH_SECRET is the secret of used to encrypt plugin authorization payload.
# The size of secret must be 16, 24 or 32 bytes.
export PLUGIN_AES_AUTH_SECRET='^*6x3hdu2nc%-p38'
# PLUGIN_AES_STATE_SECRET is the secret of used to encrypt oauth state.
# The size of secret must be 16, 24 or 32 bytes.
export PLUGIN_AES_STATE_SECRET='osj^kfhsd*(z!sno'
# PLUGIN_AES_OAUTH_TOKEN_SECRET is the secret of used to encrypt oauth refresh token and access token.
# The size of secret must be 16, 24 or 32 bytes.
export PLUGIN_AES_OAUTH_TOKEN_SECRET='cn+$PJ(HhJ[5d*z9'查看docker-compose.yml文件：
详见：https://github.com/coze-dev/coze-studio/blob/main/docker/docker-compose.yml
name: coze-studio
x-env-file: &env_file
- .env
services:
mysql:
image: mysql:8.4.5
container_name: coze-mysql
restart: always
environment:
MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD:-root}
MYSQL_DATABASE: ${MYSQL_DATABASE:-opencoze}
MYSQL_USER: ${MYSQL_USER:-coze}
MYSQL_PASSWORD: ${MYSQL_PASSWORD:-coze123}
env_file: *env_file
ports:
- '3306'
volumes:
- ./data/mysql:/var/lib/mysql
- ./volumes/mysql/schema.sql:/docker-entrypoint-initdb.d/init.sql
command:
- --character-set-server=utf8mb4
- --collation-server=utf8mb4_unicode_ci
healthcheck:
test:
[
'CMD',
'mysqladmin',
'ping',
'-h',
'localhost',
'-u$${MYSQL_USER}',
'-p$${MYSQL_PASSWORD}',
]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
networks:
- coze-network
redis:
image: bitnami/redis:8.0
container_name: coze-redis
restart: always
user: root
privileged: true
env_file: *env_file
environment:
- REDIS_AOF_ENABLED=${REDIS_AOF_ENABLED:-no}
- REDIS_PORT_NUMBER=${REDIS_PORT_NUMBER:-6379}
- REDIS_IO_THREADS=${REDIS_IO_THREADS:-4}
- ALLOW_EMPTY_PASSWORD=${ALLOW_EMPTY_PASSWORD:-yes}
ports:
- '6379'
volumes:
- ./data/bitnami/redis:/bitnami/redis/data:rw,Z
command: >
bash -c "
/opt/bitnami/scripts/redis/setup.sh
# Set proper permissions for data directories
chown -R redis:redis /bitnami/redis/data
chmod g+s /bitnami/redis/data
exec /opt/bitnami/scripts/redis/entrypoint.sh /opt/bitnami/scripts/redis/run.sh
"
healthcheck:
test: ['CMD', 'redis-cli', 'ping']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
networks:
- coze-network
elasticsearch:
image: bitnami/elasticsearch:8.18.0
container_name: coze-elasticsearch
restart: always
user: root
privileged: true
env_file: *env_file
environment:
- TEST=1
# Add Java certificate trust configuration
# - ES_JAVA_OPTS=-Djdk.tls.client.protocols=TLSv1.2 -Dhttps.protocols=TLSv1.2 -Djavax.net.ssl.trustAll=true -Xms4096m -Xmx4096m
ports:
- '9200'
volumes:
- ./data/bitnami/elasticsearch:/bitnami/elasticsearch/data
- ./volumes/elasticsearch/elasticsearch.yml:/opt/bitnami/elasticsearch/config/my_elasticsearch.yml
- ./volumes/elasticsearch/analysis-smartcn.zip:/opt/bitnami/elasticsearch/analysis-smartcn.zip:rw,Z
- ./volumes/elasticsearch/setup_es.sh:/setup_es.sh
- ./volumes/elasticsearch/es_index_schema:/es_index_schemas
healthcheck:
test:
[
'CMD-SHELL',
'curl -f http://localhost:9200 && [ -f /tmp/es_plugins_ready ] && [ -f /tmp/es_init_complete ]',
]
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
networks:
- coze-network
# Install smartcn analyzer plugin and initialize ES
command: >
bash -c "
/opt/bitnami/scripts/elasticsearch/setup.sh
# Set proper permissions for data directories
chown -R elasticsearch:elasticsearch /bitnami/elasticsearch/data
chmod g+s /bitnami/elasticsearch/data
# Create plugin directory
mkdir -p /bitnami/elasticsearch/plugins;
# Unzip plugin to plugin directory and set correct permissions
echo 'Installing smartcn plugin...';
if [ ! -d /opt/bitnami/elasticsearch/plugins/analysis-smartcn ]; then
# Download plugin package locally
echo 'Copying smartcn plugin...';
cp /opt/bitnami/elasticsearch/analysis-smartcn.zip /tmp/analysis-smartcn.zip
elasticsearch-plugin install file:///tmp/analysis-smartcn.zip
if [[ "$$?" != "0" ]]; then
echo 'Plugin installation failed, exiting operation';
rm -rf /opt/bitnami/elasticsearch/plugins/analysis-smartcn
exit 1;
fi;
rm -f /tmp/analysis-smartcn.zip;
fi;
# Create marker file indicating plugin installation success
touch /tmp/es_plugins_ready;
echo 'Plugin installation successful, marker file created';
# Start initialization script in background
(
echo 'Waiting for Elasticsearch to be ready...'
until curl -s -f http://localhost:9200/_cat/health >/dev/null 2>&1; do
echo 'Elasticsearch not ready, waiting...'
sleep 2
done
echo 'Elasticsearch is ready!'
# Run ES initialization script
echo 'Running Elasticsearch initialization...'
sed 's/\r$$//' /setup_es.sh > /setup_es_fixed.sh
chmod +x /setup_es_fixed.sh
/setup_es_fixed.sh --index-dir /es_index_schemas
# Create marker file indicating initialization completion
touch /tmp/es_init_complete
echo 'Elasticsearch initialization completed successfully!'
) &
# Start Elasticsearch
exec /opt/bitnami/scripts/elasticsearch/entrypoint.sh /opt/bitnami/scripts/elasticsearch/run.sh
echo -e "⏳ Adjusting Elasticsearch disk watermark settings..."
"
minio:
image: minio/minio:RELEASE.2025-06-13T11-33-47Z-cpuv1
container_name: coze-minio
user: root
privileged: true
restart: always
env_file: *env_file
ports:
- '9000'
- '9001'
volumes:
- ./data/minio:/data
- ./volumes/minio/default_icon/:/default_icon
- ./volumes/minio/official_plugin_icon/:/official_plugin_icon
environment:
MINIO_ROOT_USER: ${MINIO_ROOT_USER:-minioadmin}
MINIO_ROOT_PASSWORD: ${MINIO_ROOT_PASSWORD:-minioadmin123}
MINIO_DEFAULT_BUCKETS: ${MINIO_BUCKET:-opencoze},${MINIO_DEFAULT_BUCKETS:-milvus}
entrypoint:
- /bin/sh
- -c
- |
# Run initialization in background
(
# Wait for MinIO to be ready
until (/usr/bin/mc alias set localminio http://localhost:9000 $${MINIO_ROOT_USER} $${MINIO_ROOT_PASSWORD}) do
echo "Waiting for MinIO to be ready..."
sleep 1
done
# Create bucket and copy files
/usr/bin/mc mb --ignore-existing localminio/$${STORAGE_BUCKET}
/usr/bin/mc cp --recursive /default_icon/ localminio/$${STORAGE_BUCKET}/default_icon/
/usr/bin/mc cp --recursive /official_plugin_icon/ localminio/$${STORAGE_BUCKET}/official_plugin_icon/
echo "MinIO initialization complete."
) &
# Start minio server in foreground
exec minio server /data --console-address ":9001"
healthcheck:
test:
[
'CMD-SHELL',
'/usr/bin/mc alias set health_check http://localhost:9000 ${MINIO_ROOT_USER} ${MINIO_ROOT_PASSWORD} && /usr/bin/mc ready health_check',
]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
networks:
- coze-network
etcd:
image: bitnami/etcd:3.5
container_name: coze-etcd
user: root
restart: always
privileged: true
env_file: *env_file
environment:
- ETCD_AUTO_COMPACTION_MODE=revision
- ETCD_AUTO_COMPACTION_RETENTION=1000
- ETCD_QUOTA_BACKEND_BYTES=4294967296
- ALLOW_NONE_AUTHENTICATION=yes
ports:
- 2379:2379
- 2380:2380
volumes:
- ./data/bitnami/etcd:/bitnami/etcd:rw,Z
- ./volumes/etcd/etcd.conf.yml:/opt/bitnami/etcd/conf/etcd.conf.yml:ro,Z
command: >
bash -c "
/opt/bitnami/scripts/etcd/setup.sh
# Set proper permissions for data and config directories
chown -R etcd:etcd /bitnami/etcd
chmod g+s /bitnami/etcd
exec /opt/bitnami/scripts/etcd/entrypoint.sh /opt/bitnami/scripts/etcd/run.sh
"
healthcheck:
test: ['CMD', 'etcdctl', 'endpoint', 'health']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
networks:
- coze-network
milvus:
container_name: coze-milvus
image: milvusdb/milvus:v2.5.10
user: root
privileged: true
restart: always
env_file: *env_file
command: >
bash -c "
# Set proper permissions for data directories
chown -R root:root /var/lib/milvus
chmod g+s /var/lib/milvus
exec milvus run standalone
"
security_opt:
- seccomp:unconfined
environment:
ETCD_ENDPOINTS: etcd:2379
MINIO_ADDRESS: minio:9000
MINIO_BUCKET_NAME: ${MINIO_BUCKET:-milvus}
MINIO_ACCESS_KEY_ID: ${MINIO_ROOT_USER:-minioadmin}
MINIO_SECRET_ACCESS_KEY: ${MINIO_ROOT_PASSWORD:-minioadmin123}
MINIO_USE_SSL: false
LOG_LEVEL: debug
volumes:
- ./data/milvus:/var/lib/milvus:rw,Z
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:9091/healthz']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
ports:
- '19530'
- '9091'
depends_on:
etcd:
condition: service_healthy
minio:
condition: service_healthy
networks:
- coze-network
nsqlookupd:
image: nsqio/nsq:v1.2.1
container_name: coze-nsqlookupd
command: /nsqlookupd
restart: always
ports:
- '4160'
- '4161'
networks:
- coze-network
healthcheck:
test: ['CMD-SHELL', 'nsqlookupd --version']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
nsqd:
image: nsqio/nsq:v1.2.1
container_name: coze-nsqd
command: /nsqd --lookupd-tcp-address=nsqlookupd:4160 --broadcast-address=nsqd
restart: always
ports:
- '4150'
- '4151'
depends_on:
nsqlookupd:
condition: service_healthy
networks:
- coze-network
healthcheck:
test: ['CMD-SHELL', '/nsqd --version']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
nsqadmin:
image: nsqio/nsq:v1.2.1
container_name: coze-nsqadmin
command: /nsqadmin --lookupd-http-address=nsqlookupd:4161
restart: always
ports:
- '4171'
depends_on:
nsqlookupd:
condition: service_healthy
networks:
- coze-network
coze-server:
# build:
# context: ../
# dockerfile: backend/Dockerfile
image: opencoze/opencoze:latest
restart: always
container_name: coze-server
env_file: *env_file
# environment:
# LISTEN_ADDR: 0.0.0.0:8888
networks:
- coze-network
ports:
- '8888'
- '8889:8889'
volumes:
- .env:/app/.env
- ../backend/conf:/app/resources/conf
# - ../backend/static:/app/resources/static
depends_on:
mysql:
condition: service_healthy
redis:
condition: service_healthy
elasticsearch:
condition: service_healthy
minio:
condition: service_healthy
milvus:
condition: service_healthy
command: ['/app/opencoze']
coze-web:
# build:
# context: ..
# dockerfile: frontend/Dockerfile
image: opencoze/web:latest
container_name: coze-web
restart: always
ports:
- "8888:80"
# - "443:443" # SSL port (uncomment if using SSL)
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro # Main nginx config
- ./nginx/conf.d/default.conf:/etc/nginx/conf.d/default.conf:ro # Proxy config
# - ./nginx/ssl:/etc/nginx/ssl:ro # SSL certificates (uncomment if using SSL)
depends_on:
- coze-server
networks:
- coze-network
networks:
coze-network:
driver: bridge创建并启动容器：
docker-compose up -d查看容器列表：
docker ps停止并销毁容器：
docker-compose down删除镜像：
docker rmi \
mysql:8.4.5 \
bitnami/redis:8.0 \
bitnami/elasticsearch:8.18.0 \
minio/minio:RELEASE.2025-06-13T11-33-47Z-cpuv1 \
bitnami/etcd:3.5 \
milvusdb/milvus:v2.5.10 \
nsqio/nsq:v1.2.1 \
opencoze/opencoze:latest \
opencoze/web:latest删除目录：
rm -rf ./data3、浏览器访问
假设当前ip为192.168.186.128
浏览器访问：http://192.168.186.128:8888输入邮箱、密码，选择登录 或 注册：
管理后台：
4、详见
https://www.coze.cn/
https://www.coze.cn/open/docs
https://www.coze.cn/opensource
https://github.com/coze-dev/coze-studio
https://github.com/coze-dev/coze-studio/blob/main/README.zh_CN.md
https://mp.weixin.qq.com/s/amNVehNZib1gwnJt37utxg