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Forsvall"},"license":"ISC","keywords":["graph-framework","task-orchestration","event-driven","signal-processing","workflow-engine","asynchronous-tasks","distributed-systems","meta-layer","ai-agents","self-evolving-systems"],"description":"This is a lightweight framework for building seamless distributed asynchronous graphs and flows of tasks and signals.","maintainers":[{"name":"emfai","email":"Emfaisolutions@hotmail.com"}],"readme":"# Cadenza DB\n\n## Overview\n\nCadenza is an innovative framework that extends traditional orchestration with event-driven choreography, providing \"structured freedom\" for building distributed, self-evolving systems. \n\nThe core package (@Cadenza.io/core) includes the foundational primitives for defining and executing graphs of tasks, managing contexts, handling signals, and bootstrapping executions. It's designed to be language-agnostic in model, with this TypeScript implementation serving as the reference.\n\nCadenza's design philosophy emphasizes:\n- **Structured Freedom**: Explicit graphs for dependencies (orchestration) combined with signals for loose coupling (choreography).\n- **Meta-Layer Extension**: A self-reflective layer for monitoring, optimization, and auto-generation, enabling AI-driven self-development. Essentially extending the core, using the core.\n- **Introspectability**: Exportable graphs, traceable executions, and metadata separation for transparency and debugging.\n- **Modularity**: Lightweight core with extensions (e.g., distribution, UI integration) as separate packages.\n\nThe core is suitable for local dynamic workflows using tasks and signals. But thanks to the meta layer, it also serves as the foundation for the distributed, agentic AI applications, and more, abstracting complexities like networking and security in extensions.\n\n## Installation\n\nInstall the DB package via npm:\n\n```bash\nnpm install @cadenza.io/cadenza-db\n```\n\n## Usage\n\n### Creating Tasks\nTasks are the atomic units of work in Cadenza. They can be chained to form graphs.\n\n```typescript\nimport Cadenza from '@cadenza.io/service';\n\nconst task1 = Cadenza.createTask('task1', (context) => {\n  console.log(context.foo);\n  return { bar: 'baz' };\n}, 'First task');\n\nconst task2 = Cadenza.createTask('task2', (context) => {\n  return {...context, qux: 'quux'};\n}, 'Second task');\n\nconst task3 = Cadenza.createTask('task3', (context) => {\n  return {...context, cadenza: 'is awesome'};\n}, 'Third task');\n\ntask1.then(\n  task2.then(\n    task3\n  ),\n);\n\n```\n\n### Creating Routines\nRoutines are named entry points to graphs.\n\n```typescript\nconst routine = Cadenza.createRoutine('myRoutine', [task1], 'Test routine');\n```\n\n### Running Graphs\nUse a Runner to execute routines or tasks.\n\n```typescript\nconst runner = Cadenza.runner;\nawait runner.run(routine, {foo: 'bar'});\n```\n\n### Signals\nSignals provide event-driven coordination.\n\n```typescript\ntask1.emits('my.signal');\ntask2.doOn('my.other.signal');\n\nCadenza.broker.emit('my.other.signal', {foo: 'bar'}); // This will trigger task2\n```\n\n### Using the Meta Layer\n\nThe meta layer serves as a tool for extending the core features. It follows the same rules and primitives as the user layer but runs on a separate meta runner. It consists of MetaTasks, MetaRoutines and meta signals. To trigger a meta flow you need to emit a meta signal (meta.[domain].[action]).\n\n```typescript\nCadenza.createTask('My task', (ctx) => {\n  console.log(ctx.foo);\n  return ctx;\n}).emits('meta.some.signal'); // Emits a on task execution\n\nCadenza.createMetaTask('My meta task', (ctx) => {\n  console.log(ctx.__task.name);\n  return true;\n}).doOn('meta.some.signal');\n\nCadenza.broker.emit('meta.some.signal', {foo: 'bar'}); // Trigger from anywhere\n```\n\nFor full examples, see the [docs folder](docs/examples.md) or the test suite.\n\n## Features\n- **Graph-Based Orchestration**: Define tasks and routines with chaining for dependencies, failovers, and layering.\n- **Event-Driven Choreography**: Signals for loose coupling, with meta-signals for self-management.\n- **Context Management**: Immutable contexts with metadata separation and schema validation.\n- **Execution Engine**: Sync/async strategies, throttling, debouncing, and unique merging.\n- **Bootstrapping**: Lazy initialization with seed tasks for registry and signal handling.\n\n## Architecture Overview\nCadenza's core is divided into:\n- **Definition Layer**: Task, Routine for static graphs.\n- **Execution Layer**: Node, Layer, Builder, Run for runtime.\n- **Signal Layer**: SignalBroker, SignalParticipant for coordination.\n- **Context Layer**: GraphContext for data flow.\n- **Registry Layer**: GraphRegistry for introspection.\n- **Factory**: Cadenza for creation and bootstrap.\n\n## Actor MVP Schema\n\nThe current actor minimum in `cadenza-db` is:\n\n- `actor`: actor definition registry.\n- `actor_task_map`: actor-task association registry.\n- `actor_session_state`: durable state by `(actor_name, actor_version, actor_key, service_name)`.\n\nImportant contract rule:\n\n- Metadata payloads must match table field identities for validation and inserts to succeed.\n- Naming style conversion (for example snake/camel) is handled in transport; field identity is what must remain consistent.\n\nCurrent actor metadata signals used for sync:\n\n- `global.meta.graph_metadata.actor_created` -> `actor`\n- `global.meta.graph_metadata.actor_task_associated` -> `actor_task_map`\n- strict write-through session persistence path:\n  - core inquiry intent `meta-actor-session-state-persist`\n  - service responder upsert into `actor_session_state` with durable-version stale-write guard\n\nDesign constraints:\n\n- Actor type classification is `is_meta` (no `kind` column).\n- Runtime-only objects are not persisted.\n- Durable state persists through `actor_session_state.durable_state`.\n\n## Layer-Scoped Tools Persistence\n\n`cadenza-db` now persists helper/global structural data and tool dependency closures.\n\nStructural tables:\n\n- `helper`\n- `global_registry`\n\nDirect dependency maps:\n\n- `task_to_helper_map`\n- `helper_to_helper_map`\n- `task_to_global_map`\n- `helper_to_global_map`\n\nTransitive snapshot tables:\n\n- `task_tool_dependency_snapshot`\n- `helper_tool_dependency_snapshot`\n\nKey contract rules:\n\n- direct rows preserve the declared alias so runtime-visible tool keys stay reconstructable\n- snapshot rows are materialized from direct edges and stay out of `service_manifest`\n- helper/global payloads remain structural metadata, not routing membership\n\n## Contributing\nContributions are welcome! Please fork the repo, create a branch, and submit a PR. Follow the code style and add tests for new features.\n\n## License\nMIT License\n\nCopyright (c) 2025 Cadenza.io\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n","readmeFilename":"README.md"}