aws-samples / aws-samples/sample-autonomous-cloud-coding-agents
RFC: Typed task event catalog with dot-notation names
- Lingua principale
- TypeScript
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- 143
- Fork
- 46
- Merge medio
- 3g 10h
- PR unite (30g)
- 24
Descrizione
## Primary area
Cross-cutting / multiple
## Related issue or feature request
- [WORKFLOWS.md](https://github.com/aws-samples/sample-autonomous-cloud-coding-agents/blob/main/docs/design/WORKFLOWS.md) — step milestones (`step::start`)
- [OBSERVABILITY.md](https://github.com/aws-samples/sample-autonomous-cloud-coding-agents/blob/main/docs/design/OBSERVABILITY.md) — TaskEvents audit trail
- [INTERACTIVE_AGENTS.md](https://github.com/aws-samples/sample-autonomous-cloud-coding-agents/blob/main/docs/design/INTERACTIVE_AGENTS.md) — event model
## Summary
TaskEvents today mix typed lifecycle events (`task_created`, `session_started`, `pr_created`) with free-form `agent_milestone` strings (`step:implement:start`, `clone_complete`). This RFC proposes a **canonical event catalog** with lowercase dot-notation names (e.g. `step.started`, `agent.tool.completed`), a stable JSON envelope for event-specific fields, and a documented boundary between **product-facing events** (durable, user-visible) and **tracing logs** (developer diagnostics).
## Use case and motivation
Operators debugging long-running tasks need to filter, aggregate, and export events without parsing ad hoc milestone strings. CLI `bgagent watch`, notification dispatchers, and future eval pipelines all consume TaskEvents; inconsistent naming makes cross-run queries fragile.
## Proposal
### Event naming
Adopt lowercase dot notation. Initial catalog (illustrative): `task.created`, `task.completed`, `step.started`, `step.completed`, `step.failed`, `agent.tool.started`, `agent.tool.completed`, `session.started`.
### Migration
- **Phase 1:** Document catalog; dual-emit legacy `event_type` + new `event` field for one release.
- **Phase 2:** Update `watch.ts`, fan-out dispatchers, and docs to prefer dot notation.
- **Phase 3:** Deprecate free-form milestone strings for step boundaries.
### Tracing boundary
Document in OBSERVABILITY.md: CloudWatch/OTEL traces are for developers; TaskEvents are the operator audit trail.
## Out of scope
- Replacing X-Ray / OTEL span names
- Changing DDB table keys or TTL
- Breaking CLI output in a single release without deprecation period
## Potential challenges
- Tool-level events may increase DDB write rate; may need sampling or opt-in `--trace` mode.
- `watch.ts` and Slack templates need a mapping layer during migration.
## Dependencies and integrations
- `agent/src/progress_writer.py`, `agent/src/workflow/runner.py`, `agent/src/hooks.py`
- `cli/src/commands/watch.ts`, `cdk/src/handlers/`
- Optional: JSON Schema in `contracts/task-events/`
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**Note:** Non-triaged RFCs may not get timely review. PRs on non-triaged issues might not be accepted.
Guida per i contributori
Apri la guida per i contributori
Direzione di ricerca
Inizia da WORKFLOWS.md, OBSERVABILITY.md e INTERACTIVE_AGENTS.md, quindi esamina i producer e consumer elencati: agent/src/progress_writer.py, agent/src/workflow/runner.py, agent/src/hooks.py e cli/src/commands/watch.ts. Mappa l’utilizzo attuale di TaskEvents, delle milestone strings e di watch o dispatcher prima di definire il catalogo. Il lavoro è completato quando include un catalogo dei nomi revisionato, un envelope stabile, un confine tra prodotto e tracing e un piano di migrazione.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- aws, python, typescript
- Ambito
- backend-api-design, cli, documentation, observability
- Tipo di issue
- Funzionalità
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Stato di attività
- Tranquilla
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 35/100