Wetask Opens Task Runtime to External Workers with Go, TypeScript, and Python Clients

Wetask is releasing an update that extends its task runtime beyond embedded handlers to support external workers, including those running machine-learning jobs in Python, high-throughput backend work in Go, and application services in TypeScript. The platform introduces first-party clients for all three languages, allowing workers to claim task batches, renew long-running work, and settle results independently of the main process. To prevent stale workers from corrupting task state, Wetask assigns each claimed attempt a one-time fencing token, storing only its SHA-256 hash and rejecting duplicate completions. Workers can acknowledge or reject entire batches atomically, which also reduces durable storage overhead by recording settlements at the batch level rather than per task. Internal benchmarks show durable batch processing at 32 tasks per batch achieves around 2,402 tasks per second, roughly 27.8 times the single-task baseline, with Wetask noting that RabbitMQ remains ahead in replicated queue durability and operational maturity.