Sep 8, 2026

GPT-6 Astra, Quoted Sources, and Complete Run Transcripts

GPT-6 Astra is available in conversations. A source reference now shows the exact quoted text behind an answer, and a run transcript keeps every user turn rather than a summary of them.

Models

  • GPT-6 Astra: Available for use in conversations.

Answers and sources

  • Sources show the quote: A source reference is attributed by the quoted text behind the answer rather than by a citation tag, so checking where a response came from is a matter of reading it.

  • Complete run transcripts: Every user turn in a run is kept, so an audit or a playback shows the whole conversation instead of part of it.

  • One search for agent skills: Agent Skill discovery runs through a single search across the platform, rather than a separate lookup per surface.

Clearer failures

  • Temporary and permanent read failures read differently: When content cannot be read, the response says whether it is worth retrying.

  • Still indexing is not the same as not searchable: Search and grep distinguish content that is still being prepared from content that cannot be searched, so an empty result explains itself.

Speed and reliability

  • Background results arrive together, sooner: Results are delivered as soon as the final background task finishes, which shows most when several actions run in parallel.

  • Steadier nested runs: Nested steps no longer reach for tool patterns that are unsupported at that depth, so longer runs complete more predictably.

Reporting

  • Workflows reports drop backing projects: Projects that back a workflow are excluded from its report, so the figures describe the workflow.

  • One last-activity time: A user last activity time reads the same wherever it appears.

  • Report pages stop jumping: Space is reserved for the scrollbar, so content does not shift as a long report loads.

Interface

  • Tool results render in chat: A message that carries results from a connected tool displays correctly rather than breaking the thread.

Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.

Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.

Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.