feat(ci): Optimize the docker-compose-debug configuration (#365)
Ryo
3 months ago
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GitHub
parent
71f6245a01
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30fd1b3e27
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# Server |
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export LISTEN_ADDR=":8888" |
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export LOG_LEVEL="debug" |
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export MAX_REQUEST_BODY_SIZE=1073741824 |
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export SERVER_HOST="localhost${LISTEN_ADDR}" |
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export MINIO_PROXY_ENDPOINT=":8889" |
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export USE_SSL="0" |
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export SSL_CERT_FILE="" |
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export SSL_KEY_FILE="" |
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# MySQL |
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export MYSQL_ROOT_PASSWORD=root |
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export MYSQL_DATABASE=opencoze |
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export MYSQL_USER=coze |
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export MYSQL_PASSWORD=coze123 |
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export MYSQL_HOST=127.0.0.1 |
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export MYSQL_PORT=3306 |
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export MYSQL_DSN="${MYSQL_USER}:${MYSQL_PASSWORD}@tcp(${MYSQL_HOST}:${MYSQL_PORT})/${MYSQL_DATABASE}?charset=utf8mb4&parseTime=True" |
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export ATLAS_URL="mysql://${MYSQL_USER}:${MYSQL_PASSWORD}@${MYSQL_HOST}:${MYSQL_PORT}/${MYSQL_DATABASE}?charset=utf8mb4&parseTime=True" |
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# Redis |
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export REDIS_AOF_ENABLED=no |
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export REDIS_IO_THREADS=4 |
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export ALLOW_EMPTY_PASSWORD=yes |
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export REDIS_ADDR="127.0.0.1:6379" |
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export REDIS_PASSWORD="" |
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# This Upload component used in Agent / workflow File/Image With LLM , support the component of imagex / storage |
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# default: storage, use the settings of storage component |
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# if imagex, you must finish the configuration of <VolcEngine ImageX> |
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export FILE_UPLOAD_COMPONENT_TYPE="storage" |
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# VolcEngine ImageX |
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export VE_IMAGEX_AK="" |
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export VE_IMAGEX_SK="" |
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export VE_IMAGEX_SERVER_ID="" |
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export VE_IMAGEX_DOMAIN="" |
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export VE_IMAGEX_TEMPLATE="" |
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export VE_IMAGEX_UPLOAD_HOST="https://imagex.volcengineapi.com" |
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# Storage component |
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export STORAGE_TYPE="minio" # minio / tos / s3 |
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export STORAGE_BUCKET="opencoze" |
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# MiniIO |
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export MINIO_ROOT_USER=minioadmin |
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export MINIO_ROOT_PASSWORD=minioadmin123 |
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export MINIO_DEFAULT_BUCKETS=milvus |
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export MINIO_AK=$MINIO_ROOT_USER |
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export MINIO_SK=$MINIO_ROOT_PASSWORD |
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export MINIO_ENDPOINT="127.0.0.1:9000" |
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export MINIO_API_HOST="http://${MINIO_ENDPOINT}" |
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# TOS |
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export TOS_ACCESS_KEY= |
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export TOS_SECRET_KEY= |
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export TOS_ENDPOINT=https://tos-cn-beijing.volces.com |
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export TOS_BUCKET_ENDPOINT=https://opencoze.tos-cn-beijing.volces.com |
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export TOS_REGION=cn-beijing |
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# S3 |
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export S3_ACCESS_KEY= |
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export S3_SECRET_KEY= |
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export S3_ENDPOINT= |
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export S3_BUCKET_ENDPOINT= |
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export S3_REGION= |
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# Elasticsearch |
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export ES_ADDR="http://127.0.0.1:9200" |
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export ES_VERSION="v8" |
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export ES_USERNAME="" |
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export ES_PASSWORD="" |
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export COZE_MQ_TYPE="nsq" # nsq / kafka / rmq |
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export MQ_NAME_SERVER="127.0.0.1:4150" |
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# RocketMQ |
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export RMQ_ACCESS_KEY="" |
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export RMQ_SECRET_KEY="" |
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# Settings for VectorStore |
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# VectorStore type: milvus / vikingdb |
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# If you want to use vikingdb, you need to set up the vikingdb configuration. |
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export VECTOR_STORE_TYPE="milvus" |
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# milvus vector store |
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export MILVUS_ADDR="127.0.0.1:19530" |
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# vikingdb vector store for Volcengine |
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export VIKING_DB_HOST="" |
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export VIKING_DB_REGION="" |
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export VIKING_DB_AK="" |
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export VIKING_DB_SK="" |
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export VIKING_DB_SCHEME="" |
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export VIKING_DB_MODEL_NAME="" # if vikingdb model name is not set, you need to set Embedding settings |
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# Settings for Embedding |
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# The Embedding model relied on by knowledge base vectorization does not need to be configured |
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# if the vector database comes with built-in Embedding functionality (such as VikingDB). Currently, |
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# Coze Studio supports three access methods: openai, ark, ollama, and custom http. Users can simply choose one of them when using |
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# embedding type: openai / ark / ollama / http |
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export EMBEDDING_TYPE="ark" |
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export EMBEDDING_MAX_BATCH_SIZE=100 |
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# openai embedding |
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export OPENAI_EMBEDDING_BASE_URL="" # (string) OpenAI base_url |
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export OPENAI_EMBEDDING_MODEL="" # (string) OpenAI embedding model |
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export OPENAI_EMBEDDING_API_KEY="" # (string) OpenAI api_key |
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export OPENAI_EMBEDDING_BY_AZURE=false # (bool) OpenAI by_azure |
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export OPENAI_EMBEDDING_API_VERSION="" # OpenAI azure api version |
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export OPENAI_EMBEDDING_DIMS=1024 # (int) 向量维度 |
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export OPENAI_EMBEDDING_REQUEST_DIMS=1024 |
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# ark embedding |
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export ARK_EMBEDDING_MODEL="" |
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export ARK_EMBEDDING_AK="" |
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export ARK_EMBEDDING_DIMS="2048" |
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export ARK_EMBEDDING_BASE_URL="" |
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# ollama embedding |
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export OLLAMA_EMBEDDING_BASE_URL="" |
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export OLLAMA_EMBEDDING_MODEL="" |
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export OLLAMA_EMBEDDING_DIMS="" |
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# http embedding |
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export HTTP_EMBEDDING_ADDR="" |
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export HTTP_EMBEDDING_DIMS=1024 |
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# Settings for OCR |
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# If you want to use the OCR-related functions in the knowledge base feature，You need to set up the OCR configuration. |
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# Currently, Coze Studio has built-in Volcano OCR. |
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# ocr_type: default type `ve` |
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export OCR_TYPE="ve" |
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# ve ocr |
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export VE_OCR_AK="" |
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export VE_OCR_SK="" |
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# Settings for Model |
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# Model for agent & workflow |
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# add suffix number to add different models |
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export MODEL_PROTOCOL_0="ark" # protocol |
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export MODEL_OPENCOZE_ID_0="100001" # id for record |
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export MODEL_NAME_0="" # model name for show |
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export MODEL_ID_0="" # model name for connection |
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export MODEL_API_KEY_0="" # model api key |
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export MODEL_BASE_URL_0="" # model base url |
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# Model for knowledge nl2sql, messages2query (rewrite), image annotation, workflow knowledge recall |
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# add prefix to assign specific model, downgrade to default config when prefix is not configured: |
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# 1. nl2sql: NL2SQL_ (e.g. NL2SQL_BUILTIN_CM_TYPE) |
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# 2. messages2query: M2Q_ (e.g. M2Q_BUILTIN_CM_TYPE) |
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# 3. image annotation: IA_ (e.g. IA_BUILTIN_CM_TYPE) |
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# 4. workflow knowledge recall: WKR_ (e.g. WKR_BUILTIN_CM_TYPE) |
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# supported chat model type: openai / ark / deepseek / ollama / qwen / gemini |
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export BUILTIN_CM_TYPE="ark" |
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# type openai |
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export BUILTIN_CM_OPENAI_BASE_URL="" |
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export BUILTIN_CM_OPENAI_API_KEY="" |
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export BUILTIN_CM_OPENAI_BY_AZURE=false |
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export BUILTIN_CM_OPENAI_MODEL="" |
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# type ark |
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export BUILTIN_CM_ARK_API_KEY="" |
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export BUILTIN_CM_ARK_MODEL="" |
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export BUILTIN_CM_ARK_BASE_URL="" |
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# type deepseek |
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export BUILTIN_CM_DEEPSEEK_BASE_URL="" |
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export BUILTIN_CM_DEEPSEEK_API_KEY="" |
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export BUILTIN_CM_DEEPSEEK_MODEL="" |
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# type ollama |
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export BUILTIN_CM_OLLAMA_BASE_URL="" |
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export BUILTIN_CM_OLLAMA_MODEL="" |
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# type qwen |
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export BUILTIN_CM_QWEN_BASE_URL="" |
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export BUILTIN_CM_QWEN_API_KEY="" |
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export BUILTIN_CM_QWEN_MODEL="" |
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# type gemini |
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export BUILTIN_CM_GEMINI_BACKEND="" |
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export BUILTIN_CM_GEMINI_API_KEY="" |
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export BUILTIN_CM_GEMINI_PROJECT="" |
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export BUILTIN_CM_GEMINI_LOCATION="" |
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export BUILTIN_CM_GEMINI_BASE_URL="" |
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export BUILTIN_CM_GEMINI_MODEL="" |
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# Workflow Code Runner Configuration |
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# Supported code runner types: sandbox / local |
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# Default using local |
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# - sandbox: execute python code in a sandboxed env with deno + pyodide |
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# - local: using venv, no env isolation |
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export CODE_RUNNER_TYPE="local" |
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# Sandbox sub configuration |
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# Access restricted to specific environment variables, split with comma, e.g. "PATH,USERNAME" |
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export CODE_RUNNER_ALLOW_ENV="" |
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# Read access restricted to specific paths, split with comma, e.g. "/tmp,./data" |
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export CODE_RUNNER_ALLOW_READ="" |
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# Write access restricted to specific paths, split with comma, e.g. "/tmp,./data" |
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export CODE_RUNNER_ALLOW_WRITE="" |
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# Subprocess execution restricted to specific commands, split with comma, e.g. "python,git" |
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export CODE_RUNNER_ALLOW_RUN="" |
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# Network access restricted to specific domains/IPs, split with comma, e.g. "api.test.com,api.test.org:8080" |
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# The following CDN supports downloading the packages required for pyodide to run Python code. Sandbox may not work properly if removed. |
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export CODE_RUNNER_ALLOW_NET="cdn.jsdelivr.net" |
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# Foreign Function Interface access to specific libraries, split with comma, e.g. "/usr/lib/libm.so" |
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export CODE_RUNNER_ALLOW_FFI="" |
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# Directory for deno modules, default using pwd. e.g. "/tmp/path/node_modules" |
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export CODE_RUNNER_NODE_MODULES_DIR="" |
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# Code execution timeout, default 60 seconds. e.g. "2.56" |
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export CODE_RUNNER_TIMEOUT_SECONDS="" |
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# Code execution memory limit, default 100MB. e.g. "256" |
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export CODE_RUNNER_MEMORY_LIMIT_MB="" |
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# The function of registration controller |
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# 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. |
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export DISABLE_USER_REGISTRATION="" # default "", if you want to disable, set to true |
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export ALLOW_REGISTRATION_EMAIL="" # is a list of email addresses, separated by ",". Example: "11@example.com,22@example.com" |
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