David Snelling
52a43d51d4
- Remove Rollup bundling in favor of direct TypeScript compilation - Move from bundled models to dynamic model loading with configurable paths - Add Docker deployment examples and documentation - Implement robust model loader with fallback mechanisms - Update storage adapters for better cross-environment compatibility - Add comprehensive tests for model loading and package installation - Simplify package.json scripts and remove complex build configurations - Clean up deprecated demo files and old bundling scripts BREAKING CHANGE: Models are no longer bundled with the package. They are now loaded dynamically from CDN or custom paths.
42 lines
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1.1 KiB
TOML
42 lines
No EOL
1.1 KiB
TOML
# Cloudflare Workers configuration with Brainy models
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# Note: Cloudflare Workers have different constraints than traditional containers
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name = "brainy-cloudflare-worker"
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main = "dist/worker.js"
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compatibility_date = "2024-01-15"
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compatibility_flags = ["nodejs_compat"]
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# Cloudflare Workers with nodejs_compat support
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node_compat = true
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# Environment variables
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[env.production]
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name = "brainy-cloudflare-worker-prod"
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[env.staging]
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name = "brainy-cloudflare-worker-staging"
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# Build configuration
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[build]
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command = "npm run build:cloudflare"
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cwd = "."
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watch_dir = "src"
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# KV namespaces for model storage (alternative approach for Cloudflare)
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[[kv_namespaces]]
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binding = "BRAINY_MODELS"
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id = "your-kv-namespace-id"
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preview_id = "your-preview-kv-namespace-id"
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# R2 bucket for large model files
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[[r2_buckets]]
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binding = "BRAINY_MODELS_BUCKET"
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bucket_name = "brainy-models"
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# Durable Objects for state management
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[[durable_objects.bindings]]
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name = "BRAINY_STATE"
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class_name = "BrainyState"
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# Size limits for Cloudflare Workers
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# Note: Standard workers have 1MB limit, but we can use modules with larger limits |