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compose.yaml
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132 lines (121 loc) · 2.93 KB
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services:
# Sock Store
#
front-end:
image: weaveworksdemos/front-end:0.3.12
hostname: front-end
ports:
- "9090:8079"
restart: always
cap_drop:
- all
read_only: true
catalogue:
image: roberthouse224/catalogue:amd
hostname: catalogue
restart: always
cap_drop:
- all
cap_add:
- NET_BIND_SERVICE
read_only: true
ports:
- "8081:80"
depends_on:
- catalogue-db
catalogue-db:
image: weaveworksdemos/catalogue-db:0.3.0
hostname: catalogue-db
restart: always
environment:
- MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
- MYSQL_ALLOW_EMPTY_PASSWORD=true
- MYSQL_DATABASE=socksdb
# Customer Review Database
mongodb:
image: mongo:latest
ports:
- 27017:27017
environment:
- MONGO_INITDB_ROOT_USERNAME=admin
- MONGO_INITDB_ROOT_PASSWORD=password
- MONGO_INITDB_DATABASE=sockstore
volumes:
- ./data/mongodb:/docker-entrypoint-initdb.d:ro
- mongodb_data:/data/db
command: ["mongod", "--quiet", "--logpath", "/var/log/mongodb/mongod.log", "--logappend", "--setParameter", "logComponentVerbosity={network:{verbosity:0}}"]
healthcheck:
test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"]
interval: 10s
timeout: 5s
retries: 5
# Agent
adk-ui:
build:
context: .
dockerfile: Dockerfile.adk-ui
ports:
- 3000:3000
environment:
- API_BASE_URL=http://adk:8000
depends_on:
- adk
adk:
build:
context: .
ports:
# expose port for web interface
- 8000:8000
environment:
# point adk at the MCP gateway
- MCPGATEWAY_ENDPOINT=http://mcp-gateway:8811/sse
- CATALOGUE_URL=http://catalogue:8081
- OPENAI_BASE_URL=https://api.openai.com/v1
- AI_DEFAULT_MODEL=openai/gpt-4
# - OPENAI_MODEL_NAME=gpt4
depends_on:
- mcp-gateway
secrets:
- openai-api-key
models:
qwen3 :
endpoint_var: MODEL_RUNNER_URL
model_var: MODEL_RUNNER_MODEL
mcp-gateway:
# mcp-gateway secures your MCP servers
image: docker/mcp-gateway:latest
ports:
- 8811:8811
use_api_socket: true
command:
- --transport=sse
- --servers=fetch,brave,resend,curl,mongodb
- --config=/mcp_config
- --secrets=docker-desktop:/run/secrets/mcp_secret
- --verbose
configs:
- mcp_config
secrets:
- mcp_secret
depends_on:
- mongodb
models:
qwen3:
# pre-pull the model when starting Docker Model Runner
model: ai/qwen3:14B-Q6_K
#context_size: 131000 # 35.5 GB VRAM
#runtime_flags:
#- --no-prefill-assistant
volumes:
mongodb_data:
configs:
mcp_config:
content: |
resend:
reply_to: [email protected]
sender: [email protected]
secrets:
openai-api-key:
file: secret.openai-api-key
mcp_secret:
file: ./.mcp.env