What We Learned Building Heym for Production AI Workflows

说明与用途

Heym 提供面向生产的 AI 工作流，具备数据同步、可扩展执行、安全 SSO、详细可观测性和可靠的浏览器自动化。

问题

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

结果

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

工作流

• 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.

证据

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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