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Firefly Weave 0.1.0a12

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@ancongui ancongui released this 07 Oct 08:44
230a3ab

Firefly Weave alpha12 improves guided workflow authoring and adds reviewed deployment operations.

  • Configure step inputs with type-aware choices and accessible help. The editor keeps invalid changes visible, organizes its toolbar and sidebars, and separates existing project actions from creating API actions.
  • Configure workflow AI profiles and Lumi independently. Standard OpenAI and Anthropic connections use their normal endpoints; advanced settings remain available, with explicit Azure configuration.
  • Register container destinations, inspect workers and capacity, drain workers, and review deployment plans before applying them through a destination-side runner. Compose uses trusted templates; Kubernetes and Azure Container Apps support bounded changes to existing resources. Cloud cluster provisioning remains external.
  • Ask Lumi about explicitly selected Operations records. It cannot approve or apply infrastructure changes.
  • Recover temporary Studio session capacity rejections without blocking page assets. Reviewed Compose plans can restart stopped workers and verify readiness afterward.
  • Keep worker heartbeats active through explicit capacity rejections while the lease remains valid, including while completion waits for acknowledgment. The worker never repeats the handler to recover a lost response.

Upgrade the database through 0029_deployments and 0030_worker_presence before starting the new server. Follow the singleton API maintenance procedure; do not overlap old and new schedulers. Existing workflow roles do not gain deployment permissions automatically.

Installation and quickstart · Source changes

Core/CLI/Studio: 0.1.0a12; Agentic and Files workers: 0.1.4; desktop: 0.1.0-alpha.12.

Desktop installers are unsigned prerelease builds; macOS bundles use verified ad-hoc signatures and are not notarized. Verify the accompanying target-specific checksum manifests. Installing a release does not configure identity providers, admit workers, or deploy a remote platform automatically.