v0.9Reliability · Context

More reliable cross-channel context

Reactions and timestamps are captured more accurately across channels, LinkedIn routing is cleaner, and history processing is steadier for long-running conversations.

What's new

  • Reaction context is now preserved more consistently: Reactions are captured and carried in history across supported channels, so reply context reflects more of the original conversation.
  • Instagram history parsing is more accurate: Timestamp parsing, sender detection, and ordering are more reliable when syncing Instagram threads.
  • LinkedIn now stays scoped to message threads: The Grais floating action button appears on LinkedIn messaging threads only, not on the main feed.
  • LinkedIn date headings are parsed correctly: Date-divider parsing now keeps message timelines in the expected order.
  • Runtime reliability improvements: Streaming persistence, reload, and shutdown behavior were hardened to reduce dropped or misordered context during busy sessions.

Why it matters

  • Better reaction and timestamp fidelity means Grais can ground drafts in cleaner conversation history.
  • LinkedIn route scoping removes UI noise where Grais actions are not relevant.
  • Reliability work reduces context drift during long or high-volume conversations.

Try it out

  • Open a LinkedIn feed page and confirm the Grais floating action button is not shown.
  • Open a LinkedIn messaging thread and verify the button appears where expected.
  • Review Instagram and LinkedIn threads with date dividers and confirm timeline order matches the UI.
  • Check a conversation with reactions on a supported channel and confirm the tone/context is reflected in history-aware replies.
  • No setup changes are required; these improvements are already live.

Behind the scenes

  • Content script logic was consolidated into shared helpers to keep platform behavior aligned.
  • New debug surfaces improve realtime visibility into storage and history events during support and incident triage.
  • Post-upgrade stabilization work improved consistency across streaming, tool execution, and tracing paths.

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