chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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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="http://localhost${LISTEN_ADDR}"
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export USE_SSL="0"
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export SSL_CERT_FILE=""
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export SSL_KEY_FILE=""
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export WEB_LISTEN_ADDR="127.0.0.1:8888" # To enable remote access, use 0.0.0.0:8888.
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# MySQL
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export MYSQL_ROOT_PASSWORD=root
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export MYSQL_DATABASE=opencoze
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export MYSQL_USER=coze
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export MYSQL_PASSWORD=coze123
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export MYSQL_HOST=mysql
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export MYSQL_PORT=3306
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export MYSQL_DSN="${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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export MYSQL_MAX_IDLE_CONNS=10
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export MYSQL_MAX_OPEN_CONNS=100
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export MYSQL_CONN_MAX_LIFETIME=3600 # seconds
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export MYSQL_CONN_MAX_IDLE_TIME=600 # seconds
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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="redis: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_UPLOAD_HTTP_SCHEME="http" # http / https. If coze studio website is https, you must set it to https
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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=$MINIO_ROOT_PASSWORD
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export MINIO_ENDPOINT="minio:9000"
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export MINIO_API_HOST="http://${MINIO_ENDPOINT}"
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export MINIO_USE_SSL=false
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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_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://elasticsearch: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 ES_NUMBER_OF_SHARDS="1"
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export ES_NUMBER_OF_REPLICAS="1"
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# Backend Event Bus
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export COZE_MQ_TYPE="nsq" # nsq / kafka / rmq / pulsar / nats
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export MQ_NAME_SERVER="nsqd: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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# Pulsar
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# Use Pulsar as backend eventbus, MQ_NAME_SERVER example is: "pulsar:6650"
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# Fill PULSAR_JWT_TOKEN for JWT auth, leave empty for no auth
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export PULSAR_SERVICE_URL="pulsar://pulsar-service:6650"
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export PULSAR_JWT_TOKEN=""
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# NATS
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# Use NATS as backend eventbus with JetStream support
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# Set COZE_MQ_TYPE="nats" and MQ_NAME_SERVER="nats:4222" to enable NATS
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# NATS_SERVER_URL: NATS server connection URL, supports nats:// and tls:// protocols
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# For cluster setup, use comma-separated URLs: "nats://nats1:4222,nats://nats2:4222"
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# For TLS connection: "tls://nats:4222"
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export NATS_SERVER_URL="nats://nats:4222"
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# NATS_JWT_TOKEN: JWT token for NATS authentication (leave empty for no auth)
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export NATS_JWT_TOKEN=""
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# NATS_NKEY_SEED: Path to NATS seed file for NKey authentication (optional)
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export NATS_NKEY_SEED=""
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# NATS_USERNAME: Username for NATS authentication (optional)
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export NATS_USERNAME=""
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# NATS_PASSWORD: Password for NATS authentication (optional)
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export NATS_PASSWORD=""
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# NATS_TOKEN: Token for NATS authentication (optional)
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export NATS_TOKEN=""
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# NATS_STREAM_REPLICAS: Number of replicas for JetStream streams (default: 1)
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export NATS_STREAM_REPLICAS="1"
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# NATS_USE_JETSTREAM: Enable JetStream mode for message persistence and reliability (default: false)
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export NATS_USE_JETSTREAM="true"
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# Settings for VectorStore
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# VectorStore type: milvus / vikingdb / oceanbase
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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="milvus:19530"
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export MILVUS_USER=""
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export MILVUS_PASSWORD=""
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export MILVUS_TOKEN=""
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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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# oceanbase vector store
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export OCEANBASE_HOST="127.0.0.1"
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export OCEANBASE_PORT=2881
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export OCEANBASE_USER="root@test"
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export OCEANBASE_PASSWORD="coze123"
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export OCEANBASE_DATABASE="test"
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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 four access methods: openai, ark, ollama, and custom http. Users can simply choose one of them when using
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# embedding type: ark / openai / ollama / gemini / http
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export EMBEDDING_TYPE="ark"
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export EMBEDDING_MAX_BATCH_SIZE=100
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# ark embedding by volcengine / byteplus
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export ARK_EMBEDDING_BASE_URL="" # (string, required) Ark embedding base_url
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export ARK_EMBEDDING_MODEL="" # (string, required) Ark embedding model
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export ARK_EMBEDDING_API_KEY="" # (string, required) Ark embedding api_key
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export ARK_EMBEDDING_DIMS="2048" # (int, required) Ark embedding dimensions
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export ARK_EMBEDDING_API_TYPE="" # (string, optional) Ark embedding api type, should be "text_api" / "multi_modal_api". Default "text_api".
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# openai embedding
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export OPENAI_EMBEDDING_BASE_URL="" # (string, required) OpenAI embedding base_url
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export OPENAI_EMBEDDING_MODEL="" # (string, required) OpenAI embedding model
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export OPENAI_EMBEDDING_API_KEY="" # (string, required) OpenAI embedding api_key
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export OPENAI_EMBEDDING_BY_AZURE=false # (bool, optional) OpenAI embedding by_azure
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export OPENAI_EMBEDDING_API_VERSION="" # (string, optional) OpenAI embedding azure api version
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export OPENAI_EMBEDDING_DIMS=1024 # (int, required) OpenAI embedding dimensions
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export OPENAI_EMBEDDING_REQUEST_DIMS=1024 # (int, optional) OpenAI embedding dimensions in requests, need to be empty if api doesn't support specifying dimensions.
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# ollama embedding
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export OLLAMA_EMBEDDING_BASE_URL="" # (string, required) Ollama embedding base_url
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export OLLAMA_EMBEDDING_MODEL="" # (string, required) Ollama embedding model
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export OLLAMA_EMBEDDING_DIMS="" # (int, required) Ollama embedding dimensions
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# gemini embedding
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export GEMINI_EMBEDDING_BASE_URL="" # (string, required) Gemini embedding base_url
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export GEMINI_EMBEDDING_MODEL="gemini-embedding-001" # (string, required) Gemini embedding model.
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export GEMINI_EMBEDDING_API_KEY="" # (string, required) Gemini embedding api_key
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export GEMINI_EMBEDDING_DIMS=2048 # (int, required) Gemini embedding dimensions
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export GEMINI_EMBEDDING_BACKEND="1" # (string, required) Gemini embedding backend, should be "1" for BackendGeminiAPI / "2" for BackendVertexAI.
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export GEMINI_EMBEDDING_PROJECT="" # (string, optional) Gemini embedding project
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export GEMINI_EMBEDDING_LOCATION="" # (string, optional) Gemini embedding location
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# http embedding
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export HTTP_EMBEDDING_ADDR="" # (string, required) http embedding address
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export HTTP_EMBEDDING_DIMS=1024 # (string, required) http embedding dimensions
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# Settings for Rerank
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# If you want to use the rerank-related functions in the knowledge base feature，You need to set up the rerank configuration.
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export RERANK_TYPE="" # current support `vikingdb`,`rrf`,default:rrf
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# vikingdb rerank
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export VIKINGDB_RERANK_HOST="" # optional,default:api-knowledgebase.mlp.cn-beijing.volces.com
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export VIKINGDB_RERANK_REGION="" # optional,default:cn-north-1
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export VIKINGDB_RERANK_AK="" # required
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export VIKINGDB_RERANK_SK="" # required
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export VIKINGDB_RERANK_MODEL="" # optional,default:base-multilingual-rerank,also support m3-v2-rerank
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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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# Supported OCR types: `ve`, `paddleocr`
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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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# paddleocr ocr
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export PADDLEOCR_OCR_API_URL=""
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# Settings for Document Parser
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# Supported parser types: `builtin`, `paddleocr`
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export PARSER_TYPE="builtin"
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# paddleocr structure
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export PADDLEOCR_STRUCTURE_API_URL=""
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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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# 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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# Plugin AES secret.
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# PLUGIN_AES_AUTH_SECRET is the secret of used to encrypt plugin authorization payload.
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# The size of secret must be 16, 24 or 32 bytes.
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export PLUGIN_AES_AUTH_SECRET='^*6x3hdu2nc%-p38'
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# PLUGIN_AES_STATE_SECRET is the secret of used to encrypt oauth state.
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# The size of secret must be 16, 24 or 32 bytes.
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export PLUGIN_AES_STATE_SECRET='osj^kfhsd*(z!sno'
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# PLUGIN_AES_OAUTH_TOKEN_SECRET is the secret of used to encrypt oauth refresh token and access token.
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# The size of secret must be 16, 24 or 32 bytes.
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export PLUGIN_AES_OAUTH_TOKEN_SECRET='cn+$PJ(HhJ[5d*z9'
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