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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 framework for building asynchronous graphs and flows of tasks and signals.","maintainers":[{"name":"emfai","email":"Emfaisolutions@hotmail.com"}],"readme":"# Cadenza Core\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- **Decentralized Adaptive Orchestration (DAO)**: Explicit graphs for dependencies (orchestration) combined with signals for loose coupling (choreography). This combination allows for flexible and dynamic workflows, while still maintaining the benefits of traditional orchestration.\n- **Meta-Layer Extension**: A self-reflective layer for monitoring, optimization, and auto-generation, enabling AI-driven self-development. Essentially used for extending the core features by using the core features.\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 using the meta layer.\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 distributed applications, and more, abstracting complexities like networking and security in extensions.\n\n## Installation\n\nInstall the core package via npm:\n\n```bash\nnpm install @cadenza.io/core\n```\n\n## Usage\n\n### Creating Tasks\nTasks are the atomic units of work in Cadenza. They can be chained to form complex graphs.\n\n```typescript\nimport Cadenza from '@cadenza.io/core';\n\n// Create functions for tasks\nfunction validateContext(context) {\n  if (!context.foo) {\n    throw new Error('Missing foo');\n  }\n  return true;\n}\n\nfunction processContext(context) {\n  return { bar: context.foo + '-bar' };\n}\n\nfunction logContext(context) {\n  console.log(context);\n}\n\n// Wrap functions into tasks\nconst validateTask = Cadenza.createTask(\n  'Validate context',\n  validateContext\n);\n\nconst processTask = Cadenza.createTask(\n  'Process context',\n  processContext,\n);\n\nconst logTask = Cadenza.createTask(\n  'Log context',\n  logContext,\n);\n\n// Chain tasks together\nvalidateTask.then(processTask).then(logTask);\n\n// Equivalent to:\nconst validated = validateContext(context);\nif (validated) {\n  const validatedContext = context;\n  const processedContext = processContext(validatedContext);\n  logContext(processedContext);\n}\n```\n\n### Creating Routines\nRoutines are named entry points to graphs.\n\n```typescript\nconst processContextRoutine = Cadenza.createRoutine(\n  'Process context', \n  [validateTask], \n  'Processes a context by first validating it, processing the string and logging it.',\n);\n```\n\n### Running Graphs\nUse a Runner to execute routines or tasks.\n\n```typescript\nCadenza.run(processContextRoutine);\n```\n\n### Signals\nSignals provide event-driven coordination. The signal syntax is `domain.event`.\n\n```typescript\nprocessContextRoutine.doOn('main.recived_context'); // Subscribe to a signal\nprocessTask.doOn('main.context_updated'); // Works on tasks and routines\nlogTask.emits('process.done'); // Emits after successfull task execution\n\nCadenza.emit('main.recived_context', {foo: 'foo'}); // Emit from anywhere with a context\nCadenza.emit('main.context_updated', {foo: 'foo-bar'}); // This will trigger the processTask and subsequently logTask. Essentially, skipping the validationTask.\n\n// Emit a signal from within a task\nCandenza.createTask('Update context', (ctx, emit) => {\n  if (ctx.bar === 'foo-bar') {\n    ctx.foo = 'foo-baz';\n    emit('main.context_updated', ctx); \n  }\n});\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.event).\n\n```typescript\nCadenza.createTask('My task', (ctx) => {\n  console.log(ctx.foo);\n  return ctx;\n}).emits('meta.some.event');\n\nCadenza.createMetaTask('My meta task', (ctx) => {\n  console.log(ctx.task.name);\n  return true;\n})\n  .doOn('meta.some.event')\n  .emits('meta.some.other_event');\n\nCadenza.emit('meta.some.event', {foo: 'bar'}); // Emit from anywhere\n```\n\nFor full examples, see the cadenza-service package (https://github.com/cadenzaio/cadenza-service) or the test suite.\n\n### Layer-Scoped Tools\n\nTasks and helpers can now declare helper and global dependencies and consume them through a dedicated `tools` argument.\n\n```typescript\nimport Cadenza from \"@cadenza.io/core\";\n\nconst currency = Cadenza.createGlobal(\"Currency config\", {\n  code: \"EUR\",\n  locale: \"sv-SE\",\n});\n\nconst normalizeAmount = Cadenza.createHelper(\n  \"Normalize amount\",\n  (context, emit, inquire, tools) => ({\n    ...context,\n    normalizedAmount: Number(context.amount).toFixed(2),\n    currencyCode: tools.globals.currency.code,\n  }),\n).usesGlobals({\n  currency,\n});\n\nconst formatAmount = Cadenza.createTask(\n  \"Format amount\",\n  (context, emit, inquire, tools) => {\n    const normalized = tools.helpers.normalize({\n      amount: context.amount,\n    });\n    return {\n      ...context,\n      label: `${normalized.normalizedAmount} ${tools.globals.currency.code}`,\n    };\n  },\n).usesHelpers({\n  normalize: normalizeAmount,\n}).usesGlobals({\n  currency,\n});\n```\n\nContract rules:\n\n- task and helper handlers use `(context, emit, inquire, tools, progressCallback)`\n- only explicitly declared same-layer dependencies appear in `tools`\n- `tools.helpers.<alias>` is the callable helper entrypoint\n- `tools.globals.<alias>` is a deep-frozen JSON-serializable value\n- helpers are definition artifacts, not graph nodes\n- helpers may call declared helpers and read declared globals, but may not mutate graph structure\n\n### Runtime-Direct CLI\n\n`@cadenza.io/core` now ships an official machine-facing CLI for local runtime authoring.\n\nStart the stdio host:\n\n```bash\ncadenza runtime stdio\n```\n\nStart or attach to a named shared local runtime:\n\n```bash\ncadenza runtime shared start --runtime multi-agent-demo\ncadenza runtime shared stdio --runtime multi-agent-demo\n```\n\nThe host speaks JSON lines over stdio and is intended for agent/tool integrations. It supports:\n\n- runtime bootstrap, reset, and snapshot inspection\n- runtime subscriptions for queued signal delivery (`runtime.subscribe`, `runtime.unsubscribe`, `runtime.nextEvent`, `runtime.pollEvents`)\n- task, routine, intent, actor, actor-task, helper, and global upserts\n- task links, observed signals, emitted signals, intent bindings, and helper/global dependency bindings\n- direct `run`, `emit`, and `inquire` operations against the live in-process runtime\n\nExample handshake:\n\n```json\n{\"ready\":true,\"protocol\":\"cadenza-runtime-jsonl\",\"protocolVersion\":\"1\",\"runtimeMode\":\"core\",\"runtimeSharing\":\"isolated\",\"runtimeName\":null,\"sessionId\":null,\"sessionRole\":null,\"supportedOperations\":[\"runtime.bootstrap\",\"runtime.info\",\"runtime.detach\",\"runtime.shutdown\",\"runtime.reset\",\"runtime.snapshot\",\"runtime.subscribe\",\"runtime.unsubscribe\",\"runtime.nextEvent\",\"runtime.pollEvents\",\"task.upsert\",\"task.link\",\"task.observeSignal\",\"task.emitSignal\",\"task.respondToIntent\",\"helper.upsert\",\"global.upsert\",\"task.useHelper\",\"task.useGlobal\",\"helper.useHelper\",\"helper.useGlobal\",\"routine.upsert\",\"routine.observeSignal\",\"intent.upsert\",\"actor.upsert\",\"actorTask.upsert\",\"run\",\"emit\",\"inquire\"]}\n```\n\nRuntime-authored handlers are supplied as JS/TS source strings and compiled inside a restricted local sandbox. They are session-local and inspectable through `runtime.snapshot`, but v1 does not persist them to disk.\n\nRuntime snapshots now also include helper/global definitions and direct task/helper tool bindings.\n\nSignal subscriptions are pull-based rather than push-streamed. Agents subscribe to signal patterns, then drain queued events with `runtime.nextEvent` or `runtime.pollEvents`. This keeps the stdio transport request/response only while still allowing reactive agent behavior for both business and runtime meta signals.\n\nShared mode adds a local daemon-backed collaboration path for multiple agents:\n\n- `runtime.info` reports whether the session is isolated or shared and which role it has\n- `runtime.detach` disconnects the current attached shared session without stopping the runtime\n- `runtime.shutdown` shuts down the current runtime process or shared daemon\n- shared sessions use one named in-memory runtime per daemon process\n- roles are `owner`, `writer`, and `observer`\n\nShared mode keeps Cadenza semantics intact:\n\n- prefer `emit` to trigger system flows\n- prefer `inquire` to retrieve values from the system\n- treat `run` as a manual debugging or direct execution tool\n\n## Features\n- **Graph-Based Orchestration**: Define tasks and routines with chaining for dependencies 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, fan-in/fan-out merging, dynamic task creation/chaining/deletion.\n- **Layer-Scoped Tools**: Explicit helper/global definitions, alias-scoped runtime injection, and immutable global values.\n- **Runtime-Direct Authoring**: Agent/tool-friendly stdio host for defining and executing local primitives without file writes.\n\n## Architecture Overview\nCadenza's core is divided into:\n- **Definition Layer**: Task, Routine for static graphs.\n- **Execution Layer**: Node, Layer, Builder, Runner 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- **Tool Layer**: Helper/global definitions, alias maps, and runtime tool resolution for tasks and helpers.\n- **Runtime Host Layer**: JSONL stdio protocol + runtime-definition helpers for agent-driven local authoring.\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"}