1.前言
Coze Studio 开源版是字节跳动推出的Coze平台的一个开源版本,旨在为开发者和用户提供一个低代码、无代码的AI应用开发平台。Coze Studio 开源版的核心目标是简化AI机器人的开发流程,使用户能够快速构建基于AI模型的问答Bot、智能体、AI应用和插件,并将其部署到各种社交平台和即时通讯应用中。

2025年7月26日凌晨13:40左右群里收到一条消息:字节跳动的扣子(coze)正式开源了。
**开源地址:**github.com/coze-dev
其中两个比较重要的仓库:
-
Coze Studio 一站式 AI Agent 开发工具
-
Coze Loop 一个面向开发者,专注于 AI Agent 开发与运维的平台级解决方案
此次扣子的开源动作堪称"全盘托出"。两大核心组件均以Apache 2.0协议开放,允许免费商用,打破过往封闭生态的商业模。

既然开源了我们带大家先本地环境安装体验一下。话不多说,我们直接上手开干。
2.本地安装coze
源码下载
首选我们需要到下载源码
shell
# 克隆代码
git clone https://github.com/coze-dev/coze-studio.git

源码下载完成我们先看一下代码结构。这个代码前端是TypeScript 写的,后端是Go 写的。这个效率方面应该是高于dify (直观的感受)

代码这里就带大家解读了,大家也不关心这个。
模型配置
在部署之前我们需要用到模型,从配置文件里可以看到它支持OpenAI(含 Azure)、火山方舟(Ark)、DeepSeek、Ollama(本地开源模型)、Qwen(通义千问)、Gemini(Google)等几个主流的模型。
我这里就以字节提供的doubao-seed-1.6模型介绍。我先到获取火山方舟 API 获取apikey

在开通管理这里,开通一些模型(目前字节在推广用送一些模型token给大家体验)

我们需要开通需要用到的模型。开通模型后需要用到获取 Endpoint ID,大家可以看获取 Endpoint ID,这个是字节最反人类的设计,很多小伙伴不知道这个Endpoint ID是什么,每个人还不一样。需要自己创建自定义推荐接入点

上面的ep-20250621103906-7vrrn 这个才是我们要的。记住这个值,记住这个值,记住这个值。 我们说三遍。我自己做了个对照表方便后面查找。(下面的是我自己的,你的不一样,别抄)
模型名称 | 火山对应的模型 | 模型类型 |
---|---|---|
deepseek-V3 | ep-20250205144300-jv6dk | 文本 |
deepseek-R1-Distill-Qwen-32B | ep-20250205144352-hsl6w | 文本 |
deepseek-R1 | ep-20250205144233-4rrb5 | 文本 |
Doubao-lite-32k | ep-20241217193737-5zhqk | 文本 |
Doubao-embedding | ep-20241206145333-q5x7d | 向量模型 |
Doubao-vision-pro-32k | ep-20241217185028-bm7vz | 文本 |
Doubao-vision-pro-32k | ep-20250214130618-xbclg | 文本 |
deepseek-v3联网版 | bot-20250223173109-rhg9l | 文本 |
Doubao-Seed-1.6-flash | ep-m-20250617223041-hdk2k | 文本 |
Doubao-Seedance-1.0-lite-i2v | ep-m-20250602181245-dscmm | 文本 |
Doubao-Seed-1.6 | ep-20250621103906-7vrrn | 文本 |
Doubao-Seed-1.6-thinking | ep-20250621104136-q658l | 文本 |
Doubao-Seed-1.6-flash | ep-20250621104240-nwfql | 文本 |
Doubao-Seedance-1.0-pro | doubao-seedance-1-0-pro-250528 | 视觉大模型 |
Doubao-Seedream-3.0-t2i | doubao-seedream-3-0-t2i-250415 | 视觉大模型 |
Doubao-Seedance-1.0-lite-t2v | doubao-seedance-1-0-lite-t2v-250428 | 视觉大模型 |
Doubao-Seedance-1.0-lite-i2v | doubao-seedance-1-0-lite-i2v-250428 | 视觉大模型 |
Wan2.1-14B | wan2-1-14b-i2v-250225 | 视觉大模型 |
Doubao-视频生成 | doubao-seedance-1-0-pro-250528 | 视觉大模型 |
APIkey 和模型Endpoint ID获取到了,下面我们docker部署讲解
docker 部署
项目提供的docker 部署,我们直接到docker 目录下。

我们打开docker-compose.yml 查看(详细内容就不贴了)。主要用到了elasticsearch、etcd、minio、mysql、rocketmq 、Redis 等主流中间件。
数据持久化通过volumes 挂载卷的形式存放。熟悉dify小伙伴应该比较熟悉,内容都差不多。
通过 volumes
配置本地目录与容器目录映射,实现数据持久化:
- MySQL 数据:
./data/mysql
- Redis 数据:
./data/bitnami/redis
- Elasticsearch 数据:
./data/bitnami/elasticsearch
- MinIO 数据:
./data/minio
- Etcd 数据:
./data/bitnami/etcd
- Milvus 数据:
./data/milvus
服务这里用到了opencoze/opencoze:latest 比dify 服务要少一点。
配置模型。
从模板目录复制 doubao-seed-1.6 模型的模版文件,并粘贴到配置文件目录。
shell
cd coze-studio
# 复制模型配置模版
cp backend/conf/model/template/model_template_ark_doubao-seed-1.6.yaml backend/conf/model/ark_doubao-seed-1.6.yaml

在配置文件目录下,修改模版文件。
设置 id
、meta.conn_config.api_key
、meta.conn_config.model
字段,并保存文件。
- id:Coze Studio 中的模型 ID,由开发者自行定义,必须是非 0 的整数,且全局唯一。模型上线后请勿修改模型 id 。
- meta.conn_config.api_key:模型服务的 API Key
- meta.conn_config.model:模型服务的 model ID

上面配置完成后,我们就可以启动docker了。我们这里用windows上安装的WSL 来实现。
关于WSL 安装可以看我之前的文章《Windows 用户狂喜!免费玩转顶级 AI 编程工具 Claude Code,步骤全揭秘》
目前它这个开源的代码和脚本不支持windows Docker Desktop 安装,结果改了一个地方还有其他地方,所以就没继续折腾了。
一键启动我之前的WSL toggle-wsl.bat


用linux 命令行切换到上面下载的代码目录下

shell
# 启动服务
cd docker
cp .env.example .env
#Linux 适用
docker compose --profile '*' up -d

这个启动时间会比较长,需要提前下载镜像然后在启动程序。国内小伙伴可能会遇到下载镜像下载不了的问题。大家也可以借助容器代理来间接来解决问题,这里就不详细展开了。关于镜像加速可以参考这个文章 blog.xuanyuan.me/archives/11...
在启动docker 容器会遇到这下面这些问题
这个问题主要是目前开源项目在linux平台上运行的,而我们windows 平台上安装setup_es.sh脚本是linux 格式
具体详细问题可以参考github上 github.com/coze-dev/co...

这里我们就不做详细展开。我们可以使用我改造后的docker-compose.yml 来解决上述的问题
另外也要注意和本地电脑上某些应用端口比要冲突,比如我的3306端口已经被数据库使用了。我该了5306

minio 端口也是 我修改成9901

大家可以根据自己电脑实际情况修改。
可以用我这个docker-compose.yml 来覆盖原来的
yaml
x-env-file: &env_file
- .env
services:
mysql:
image: mysql:8.4.5
container_name: coze-mysql
environment:
MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD:-root}
MYSQL_DATABASE: ${MYSQL_DATABASE:-opencoze}
MYSQL_USER: ${MYSQL_USER:-coze}
MYSQL_PASSWORD: ${MYSQL_PASSWORD:-coze123}
profiles: ['middleware', 'mysql-setup', 'mysql']
env_file: *env_file
ports:
- '3306:3306'
volumes:
- mysql_data:/var/lib/mysql
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
user: root
privileged: true
profiles: ['middleware']
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:
- '6379:6379'
volumes:
- redis_data:/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
"
depends_on:
minio-setup:
condition: service_completed_successfully
elasticsearch-setup:
condition: service_completed_successfully
mysql-setup-schema:
condition: service_completed_successfully
mysql-setup-init-sql:
condition: service_completed_successfully
healthcheck:
test: ['CMD', 'redis-cli', 'ping']
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
networks:
- coze-network
# rocketmq-namesrv:
# image: apache/rocketmq:5.3.2
# container_name: coze-rocketmq-namesrv
# privileged: true
# user: root
# profiles: ['middleware']
# env_file: *env_file
# ports:
# - '9876:9876'
# volumes:
# - ./data/rocketmq/namesrv/logs:/home/rocketmq/logs:rw,Z
# - ./data/rocketmq/namesrv/store:/home/rocketmq/store:rw,Z
# environment:
# - ALLOW_ANONYMOUS_LOGIN=yes
# command: >
# bash -c "
# # Set proper permissions for data directories
# mkdir -p /home/rocketmq/logs /home/rocketmq/store
# mkdir -p /home/rocketmq/logs/rocketmqlogs
# touch /home/rocketmq/logs/rocketmqlogs/tools.log
# touch /home/rocketmq/logs/rocketmqlogs/tools_default.log
# chown -R rocketmq:rocketmq /home/rocketmq/logs /home/rocketmq/store
# chmod g+s /home/rocketmq/logs /home/rocketmq/store
# echo 'Starting RocketMQ NameServer...'
# sh mqnamesrv
# "
# healthcheck:
# test: ['CMD', 'sh', 'mqadmin', 'clusterList', '-n', 'localhost:9876']
# interval: 5s
# timeout: 10s
# retries: 10
# start_period: 10s
# networks:
# - coze-network
# rocketmq-broker:
# image: apache/rocketmq:5.3.2
# container_name: coze-rocketmq-broker
# privileged: true
# user: root
# profiles: ['middleware']
# env_file: *env_file
# ports:
# - '10909:10909'
# - '10911:10911'
# - '10912:10912'
# volumes:
# - ./data/rocketmq/broker/logs:/home/rocketmq/logs:rw,Z
# - ./data/rocketmq/broker/store:/home/rocketmq/store:rw,Z
# - ./volumes/rocketmq/broker.conf:/home/rocketmq/conf/broker.conf:rw,Z
# networks:
# - coze-network
# command: >
# bash -c '
# # Set proper permissions
# mkdir -p /home/rocketmq/logs/rocketmqlogs /home/rocketmq/store
# touch /home/rocketmq/logs/rocketmqlogs/tools.log \
# /home/rocketmq/logs/rocketmqlogs/tools_default.log
# chown -R rocketmq:rocketmq /home/rocketmq/logs /home/rocketmq/store
# chmod g+s /home/rocketmq/logs /home/rocketmq/store
# echo "Starting RocketMQ Broker..."
# sh mqbroker -n rocketmq-namesrv:9876 -c /home/rocketmq/conf/broker.conf &
# echo "Waiting for Broker registration..."
# broker_ready=false
# for i in {1..60}; do
# if sh mqadmin clusterList -n rocketmq-namesrv:9876 \
# | grep -q "DefaultCluster.*broker-a"; then
# echo "Registered."
# broker_ready=true
# break
# fi
# echo "Not ready, retry $$i/60..."
# sleep 1
# done
# if [ "$$broker_ready" = false ]; then
# echo "ERROR: registration timed out."
# exit 1
# fi
# echo "Creating topics..."
# for t in opencoze_knowledge opencoze_search_app opencoze_search_resource \
# %RETRY%cg_knowledge %RETRY%cg_search_app %RETRY%cg_search_resource; do
# sh mqadmin updateTopic -n rocketmq-namesrv:9876 \
# -c DefaultCluster -t "$$t"
# done
# touch /tmp/rocketmq_ready
# echo "Broker started successfully."
# wait
# '
# depends_on:
# - rocketmq-namesrv
# healthcheck:
# test: ['CMD-SHELL', '[ -f /tmp/rocketmq_ready ]']
# interval: 10s
# timeout: 10s
# retries: 10
# start_period: 10s
elasticsearch:
image: bitnami/elasticsearch:8.18.0
container_name: coze-elasticsearch
user: root
privileged: true
profiles: ['middleware']
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:
- '9200:9200'
volumes:
- elasticsearch_data:/bitnami/elasticsearch/data
- ./volumes/elasticsearch/elasticsearch.yml:/tmp/my_elasticsearch.yml
- ./volumes/elasticsearch/analysis-smartcn.zip:/opt/bitnami/elasticsearch/analysis-smartcn.zip:rw,Z
healthcheck:
test:
[
'CMD-SHELL',
'curl -f http://localhost:9200 && [ -f /tmp/es_plugins_ready ]',
]
interval: 5s
timeout: 10s
retries: 10
start_period: 10s
networks:
- coze-network
# Install smartcn analyzer plugin
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
cp /tmp/my_elasticsearch.yml /opt/bitnami/elasticsearch/config/my_elasticsearch.yml
# 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 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
profiles: ['middleware']
env_file: *env_file
ports:
- '9000:9000'
- '9001:9001'
volumes:
- ./data/minio:/data
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}
command: 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
privileged: true
profiles: ['middleware']
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
profiles: ['middleware']
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: coze-etcd:2379
MINIO_ADDRESS: coze-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:
- '19530:19530'
- '9091:9091'
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
profiles: ['middleware']
ports:
- '4160:4160'
- '4161:4161'
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=coze-nsqlookupd:4160 --broadcast-address=coze-nsqd
profiles: ['middleware']
ports:
- '4150:4150'
- '4151:4151'
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=coze-nsqlookupd:4161
profiles: ['middleware']
ports:
- '4171:4171'
depends_on:
nsqlookupd:
condition: service_healthy
networks:
- coze-network
elasticsearch-setup:
image: alpine/curl:8.12.1
container_name: coze-elasticsearch-setup
profiles: ['middleware', 'volcano-setup']
env_file: *env_file
depends_on:
elasticsearch:
condition: service_healthy
volumes:
- ./volumes/elasticsearch/setup_es.sh:/setup_es.sh
- ./volumes/elasticsearch/es_index_schema:/es_index_schema
command:
- /bin/sh
- -c
- |
set -ex
/setup_es.sh
echo 'Elasticsearch setup complete.'
networks:
- coze-network
restart: 'no'
minio-setup:
image: minio/mc:RELEASE.2025-05-21T01-59-54Z-cpuv1
container_name: coze-minio-setup
profiles: ['middleware']
env_file: *env_file
depends_on:
minio:
condition: service_healthy
volumes:
- ./volumes/minio/default_icon/:/default_icon
- ./volumes/minio/official_plugin_icon/:/official_plugin_icon
entrypoint: >
/bin/sh -c "
(/usr/bin/mc alias set localminio http://coze-minio:9000 ${MINIO_ROOT_USER} ${MINIO_ROOT_PASSWORD} && \
/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 'upload files to minio complete: Files uploaded to ${STORAGE_BUCKET} bucket.') || exit 1; \
"
networks:
- coze-network
restart: 'no'
mysql-setup-schema:
image: arigaio/atlas:0.35.0-community-alpine
container_name: coze-mysql-setup-schema
profiles: ['middleware', 'mysql-setup', 'run-server']
env_file: *env_file
depends_on:
mysql:
condition: service_healthy
volumes:
- ./atlas/opencoze_latest_schema.hcl:/opencoze_latest_schema.hcl
entrypoint:
- /bin/sh
- -c
- |
set -ex
TMP_ATLAS_URL="${ATLAS_URL}"
if [ "${MYSQL_HOST}" = "localhost" ] || [ "${MYSQL_HOST}" = "127.0.0.1" ]; then
echo "MYSQL_HOST is localhost or 127.0.0.1, replacing with docker network address"
TMP_ATLAS_URL="mysql://${MYSQL_USER}:${MYSQL_PASSWORD}@mysql:${MYSQL_PORT}/${MYSQL_DATABASE}?charset=utf8mb4&parseTime=True"
fi
echo "final atlas url: $${TMP_ATLAS_URL}"
for i in `seq 1 60`; do
if atlas schema apply \
-u "$${TMP_ATLAS_URL}" \
--to file:///opencoze_latest_schema.hcl \
--exclude "atlas_schema_revisions,table_*" \
--auto-approve; then
echo "MySQL setup complete."
exit 0
fi
echo "atlas schema apply failed, retrying...($$i/60)"
sleep 1
done
echo "MySQL setup failed after 60 retries."
exit 1
networks:
- coze-network
mysql-setup-init-sql:
image: mysql:8.4.5
container_name: coze-mysql-setup-init-sql
profiles: ['middleware', 'mysql-setup', 'run-server', 'volcano-setup']
env_file: *env_file
depends_on:
mysql:
condition: service_healthy
command:
- /bin/sh
- -c
- |
set -ex
for i in $(seq 1 60); do
DB_HOST="$${MYSQL_HOST}"
if [ "$${MYSQL_HOST}" = "localhost" ] || [ "$${MYSQL_HOST}" = "127.0.0.1" ]; then
DB_HOST="mysql"
fi
if mysql -h "$${DB_HOST}" -P"$${MYSQL_PORT}" -u"$${MYSQL_USER}" -p"$${MYSQL_PASSWORD}" "$${MYSQL_DATABASE}" < /schema.sql && \
mysql -h "$${DB_HOST}" -P"$${MYSQL_PORT}" -u"$${MYSQL_USER}" -p"$${MYSQL_PASSWORD}" "$${MYSQL_DATABASE}" < /sql_init.sql; then
echo 'MySQL init success.'
exit 0
fi
echo "Retrying to connect to mysql... ($$i/60)"
sleep 1
done
echo 'Failed to init mysql db.'
exit 1
volumes:
- ./volumes/mysql/sql_init.sql:/sql_init.sql
- ./volumes/mysql/schema.sql:/schema.sql
networks:
- coze-network
restart: 'no'
coze-server:
# build:
# context: ../
# dockerfile: backend/Dockerfile
image: opencoze/opencoze:latest
container_name: coze-server
profiles: ['run-server']
env_file: *env_file
environment:
LISTEN_ADDR: 0.0.0.0:8888
networks:
- coze-network
ports:
- '8888:8888'
- '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
# rocketmq-namesrv:
# condition: service_healthy
# rocketmq-broker:
# condition: service_healthy
elasticsearch:
condition: service_healthy
minio:
condition: service_healthy
milvus:
condition: service_healthy
minio-setup:
condition: service_completed_successfully
elasticsearch-setup:
condition: service_completed_successfully
mysql-setup-init-sql:
condition: service_completed_successfully
command: ['/app/bootstrap.sh']
networks:
coze-network:
driver: bridge
volumes:
mysql_data:
elasticsearch_data:
redis_data:

部署完成后我们就可以通过URL 地址访问了(http://localhost:8888/sign?redirect=%2Fspace)
3 本地coze体验


这样我们就看到本地搭建的COZE 了。

创建智能体

点击创建后填写名字就看到我们熟悉的COZE 了


我们之前配置文件写的是doubao的模型,大家也可以根据自己的需要修改和添加模型

我们可以将配置文件复制到F:\temp\coze-studio\backend\conf\model 目录下,添加新的模型

验证测试
接下来我们在刚才配置的智能体 做个简单聊天对话功能

好了一个简单的聊天对话的智能体就配置完成了。
其他功能大家自行去研究。
4.总结
今天主要带大家了解并实现了 Coze Studio 开源版的本地安装与使用。此方案借助火山方舟等主流模型,为开发者和用户提供了一个低代码、无代码的 AI 应用开发平台,简化了 AI 机器人的开发流程。
该方案不仅解决了开发者在 AI 应用开发过程中面临的技术门槛问题,通过详细的源码下载、模型配置和 docker 部署步骤,让用户能够快速构建基于 AI 模型的问答 Bot、智能体、AI 应用和插件,并将其部署到各种社交平台和即时通讯应用中。还提供了一种可复用的本地开发与部署思路,其中模型配置及 docker 部署的过程详细且具有通用性,对于有类似需求的项目具有参考价值。
需要注意的是,在部署过程中可能会遇到一些问题,如镜像下载缓慢、脚本格式不兼容、端口冲突等,大家可以根据实际情况进行解决。另外,本文以 doubao - seed - 1.6 模型为例进行介绍,大家也可以根据自己的需要修改和添加其他模型。
感兴趣的小伙伴可以按照本文步骤去尝试本地安装和使用 Coze Studio 开源版,体验低代码、无代码的 AI 应用开发乐趣。今天的分享就到这里结束了,我们下一篇文章见。