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v0.0.462

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@github-actions github-actions released this 17 Jul 11:30
· 1737 commits to main since this release
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Version 0.0.462 (July 17, 2026)

  • Per-model context window override (#680) — admins can set a model's real context-window size in Settings → LLM and it now survives catalog re-syncs. Deployments that serve a model with a smaller window (e.g. AWS Bedrock capped at 100k) no longer fail mid-analysis with "context length exceeded", and the context-usage meter reflects the true limit. Clearing the override restores the catalog default.
  • Eval runs finalize server-side (#681, #682) — a background eval run now evaluates its assertions and leaves in_progress on its own, per case, instead of waiting for someone to open the run page to drive the evaluation; the aggregate is idempotent and records the authoritative pass/fail/error status even under concurrent finalizers.
  • Eval agent loop (#682) — the chat-driven cycle create → run (background) → wake-up → read → edit → rerun → compare now closes end to end without blocking the agent: run_eval is background-by-default, a run-finished wake-up posts results back into the conversation, and new get_eval_run / get_eval_runs / stop_eval_run / edit_eval / cancel_wait / search_evals tools plus a run-comparison view (fixed/regressed flips) support the loop. Includes an org concurrency cap and identical-run dedupe.
  • Thinking indicator above the prompt box (#684) — while a completion is submitting or in progress, the prompt box shows a spinner, a shimmering "Thinking" label, and a live elapsed-time counter that also resumes after a mid-run page refresh and fades out when the run finishes or is stopped.
  • Cleaner shared conversations on mobile (#685) — user and assistant avatars are hidden below the md breakpoint on the shared /c/[token] page, dropping the content indent to reclaim horizontal space and matching the report chat page.
  • Training mode builds agents — three training-only tools let one prompt go from connection to ready agent: list_connections shows the connections you hold create-agent access on, get_connection browses a connection's tables-by-schema, MCP tools, or file scope (glob filter + pagination) before any agent exists, and create_agent creates the agent on existing connections with inline schemas/tables/tools glob selection, attaches it to the training session, and reports any unmatched selector. No credentials pass through the model — connections stay admin-created.
  • Agent card in the training chat — a created agent renders as a card with status, description, and Tables/Tools/Files tabs (active/enabled counts live from the agent), plus an Open-agent link for refining the selection on the agent page.