Resilient AI Worker Kit production template released as open source
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Developer sidsri1234 has released Resilient AI Worker Kit on Hacker News, a production-grade template for running high-throughput, fault-tolerant AI agent queues, built on Redis and BullMQ, supporting automatic multi-provider failover, exponential backoff retries and a token-budget-based circuit breaker. The template comes in two versions: the community edition is free and open source under the MIT license; the enterprise/production license costs $39 and additionally includes a priority queue dashboard, distributed rate-limiting middleware and direct installation guidance. The above features and version breakdown come from the publisher's own description; the report provides no independent verification or data on actual runtime performance.
AI overview based on source reports · Updated 11 hr ago
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- Hacker News AIShow HN: Resilient AI Worker Queue with Redis, BullMQ, and Budget Kill Switches
This post presents a production template for running fault-tolerant AI agent queues with automatic model failover across providers (OpenAI, Anthropic, Groq, Ollama), jittered exponential backoff retries, and a Redis-backed token-budget kill switch that halts jobs before exceeding spend limits. It uses BullMQ and Redis for dead-letter queues and concurrency limits, plus structured logging for Datadog, Grafana Loki, or CloudWatch. The community edition is MIT-licensed, with a $39 enterprise license adding dashboards, distributed rate-limiting middleware, and setup guidance.
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