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
# 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/mysqlRedis 数据：./data/bitnami/redisElasticsearch 数据：./data/bitnami/elasticsearchMinIO 数据：./data/minioEtcd 数据：./data/bitnami/etcdMilvus 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。
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 Keymeta.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
# 启动服务cd dockercp .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
x-env-file: &env_file - .envservices: 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: bridgevolumes: 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。
