What We Learned Building Heym for Production AI Workflows

Описание и применение

Heym обеспечивает готовые к продакшн AI‑рабочие процессы с синхронизацией данных, масштабируемой обработкой, безопасной аутентификацией, наблюдаемостью и надёжной автоматизацией браузера.

Задача

Deploying AI workflows in production requires handling data changes, scaling, authentication, observability, and safe browser automation.

Результат

Heym enables production‑ready AI workflows with data synchronization, scalable execution, secure authentication, comprehensive observability, and reliable browser automation.

Рабочий процесс

• 1. Configure RAG node with external document ID and upsert/delete operations. 2. Deploy additional worker instances and assign execution weights. 3. Set up OpenID Connect SSO with chosen identity provider. 4. Run workflows and inspect execution timeline for status, retries, and traces. 5. Use Playwright node for browser automation with deterministic steps and AI‑generated actions, saving successful actions for reuse.

Доказательства

The newest RAG release adds Upsert and Delete operations to the RAG and Vector Store node.

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Heym can now distribute background executions across multiple instances connected to the same PostgreSQL database.

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Teams can now connect Heym to any OpenID Connect provider.

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The execution timeline now includes a span details inspector.

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Heym's Playwright node supports deterministic steps and AI-generated browser actions.

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