mirror of
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zeekay
cf4d0b027e
Aggregates five OSS one-click/self-hosting catalogs into the Dokploy blueprint
shape the Hanzo PaaS consumes (meta.json array + blueprints/<id>/{template.toml,
docker-compose.yml,meta.json,logo}):
Dokploy 500 (MIT, verbatim) · Coolify 174 (Apache-2.0) · CapRover 161
(Apache-2.0) · CasaOS 85 (Apache-2.0) · Runtipi 110 (GPL-3.0)
Deduped by app identity; each source + app keeps its upstream license
(ATTRIBUTION.md). Deterministic aggregators + a hard validator (every
template.toml parses with the platform's toml lib, every compose parses as YAML,
meta.json is the expected array, and an over-HTTP fetch probe exercises all
1030) — 0 hard failures. Served natively by hanzoai/static on DOKS (no CDN/Pages/
Vercel); CI builds on the hanzo-build-linux-amd64 arc pool; operator App CR in
crs/ serves it at templates.hanzo.ai.
152 lines
4.1 KiB
TOML
152 lines
4.1 KiB
TOML
[variables]
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libredesk_domain = "${domain}"
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libredesk_system_user_password = "${base64:32}"
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pg_username = "${username}"
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pg_password = "${password:16}"
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pg_database = "libredesk"
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[config]
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env = [
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"LIBREDESK_SYSTEM_USER_PASSWORD=${libredesk_system_user_password}",
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"POSTGRES_USER=${pg_username}",
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"POSTGRES_PASSWORD=${pg_password}",
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"POSTGRES_DB=${pg_database}",
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]
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[[config.domains]]
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serviceName = "libredesk"
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port = 9000
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host = "${libredesk_domain}"
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[[config.mounts]]
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filePath = "config.toml"
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content = """
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[app]
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# Log level: info, debug, warn, error, fatal
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log_level = "debug"
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# Environment: dev, prod.
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# Setting to "dev" will enable color logging in terminal.
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env = "dev"
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# Whether to automatically check for application updates on start up, app updates are shown as a banner in the admin panel.
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check_updates = true
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# HTTP server.
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[app.server]
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# Address to bind the HTTP server to.
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address = "0.0.0.0:9000"
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# Unix socket path (leave empty to use TCP address instead)
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socket = ""
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# Do NOT disable secure cookies in production environment if you don't know exactly what you're doing!
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disable_secure_cookies = false
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# Request read and write timeouts.
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read_timeout = "5s"
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write_timeout = "5s"
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# Maximum request body size in bytes (100MB)
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# If you are using proxy, you may need to configure them to allow larger request bodies.
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max_body_size = 104857600
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# Size of the read buffer for incoming requests
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read_buffer_size = 4096
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# Keepalive settings.
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keepalive_timeout = "10s"
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# File upload provider to use, either `fs` or `s3`.
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[upload]
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provider = "fs"
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# Filesystem provider.
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[upload.fs]
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# Directory where uploaded files are stored, make sure this directory exists and is writable by the application.
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upload_path = 'uploads'
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# S3 provider.
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[upload.s3]
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# S3 endpoint URL (required only for non-AWS S3-compatible providers like MinIO).
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# Leave empty to use default AWS endpoints.
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url = ""
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# AWS S3 credentials, keep empty to use attached IAM roles.
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access_key = ""
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secret_key = ""
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# AWS region, e.g., "us-east-1", "eu-west-1", etc.
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region = "ap-south-1"
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# S3 bucket name where files will be stored.
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bucket = "bucket-name"
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# Optional prefix path within the S3 bucket where files will be stored.
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# Example, if set to "uploads/media", files will be stored under that path.
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# Useful for organizing files inside a shared bucket.
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bucket_path = ""
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# S3 signed URL expiry duration (e.g., "30m", "1h")
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expiry = "30m"
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# Postgres.
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[db]
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# If running locally, use `localhost`.
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host = "db"
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# Database port, default is 5432.
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port = 5432
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# Update the following values with your database credentials.
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user = "${pg_username}"
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password = "${pg_password}"
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database = "${pg_database}"
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ssl_mode = "disable"
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# Maximum number of open database connections
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max_open = 30
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# Maximum number of idle connections in the pool
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max_idle = 30
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# Maximum time a connection can be reused before being closed
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max_lifetime = "300s"
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# Redis.
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[redis]
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# If running locally, use `localhost:6379`.
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address = "redis:6379"
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password = ""
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db = 0
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[message]
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# Number of workers processing outgoing message queue
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outgoing_queue_workers = 10
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# Number of workers processing incoming message queue
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incoming_queue_workers = 10
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# How often to scan for outgoing messages to process, keep it low to process messages quickly.
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message_outgoing_scan_interval = "50ms"
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# Maximum number of messages that can be queued for incoming processing
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incoming_queue_size = 5000
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# Maximum number of messages that can be queued for outgoing processing
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outgoing_queue_size = 5000
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[notification]
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# Number of concurrent notification workers
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concurrency = 2
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# Maximum number of notifications that can be queued
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queue_size = 2000
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[automation]
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# Number of workers processing automation rules
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worker_count = 10
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[autoassigner]
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# How often to run automatic conversation assignment
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autoassign_interval = "5m"
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[webhook]
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# Number of webhook delivery workers
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workers = 5
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# Maximum number of webhook deliveries that can be queued
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queue_size = 10000
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# HTTP timeout for webhook requests
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timeout = "15s"
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[conversation]
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# How often to check for conversations to unsnooze
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unsnooze_interval = "5m"
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[sla]
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# How often to evaluate SLA compliance for conversations
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evaluation_interval = "5m"
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""" |