temporal-workflows

Deterministic workflows use Temporal to replay task execution safely, ensuring reliable automation. You define workflows and proxy activities to coordinate tasks end-to-end while strict determinism rules prevent side effects during replay.

Temporal workflows support signals to inject external state changes and queries to inspect workflow status without affecting execution. These mechanisms allow distributed agents to communicate with ongoing task lifecycles safely.

Temporal orchestration handles errors through configurable retries, timeouts, and compensation patterns. You define error handling logic within workflow definitions to manage robust production workloads across distributed components.

Temporal workers can be configured to isolate task execution across hub and agents. You set up worker configuration to manage activity proxies and ensure deterministic workflow processing across distributed environments.

Strict determinism rules ensure Temporal workflows replay identically to their original execution. Non-deterministic operations break replay safety, so you must use explicit activity proxies instead of direct side effects within workflow definitions.

Yes, Temporal workflows orchestrate end-to-end task lifecycles from intake through CI. You implement a taskLifecycleWorkflow using proxyActivities to coordinate tasks reliably with signals, queries, and compensating patterns.