June has been about visibility and choice: see exactly what your AI is costing, run several embedding models side by side, and let agents collaborate with you mid-task. Here's the month so far.

Know what your AI costs

The headline this month is full LLM cost and usage observability:

• Every chat completion now records token counts, latency and finish reason.
• A new admin dashboard charts LLM usage over time — tokens, requests and cost.
• Per-model pricing configuration with historical cost tracking, and reference prices that refresh automatically every day from the Curiosity pricing service.

Multi-model vector indexing

• Index with several embedding models at once. Per-model vector indexing supports multiple embedding models simultaneously, managed from a new Vector Indexing settings page with chunking options.
• A built-in compact, multilingual embedding model ships as the default — no external provider required to get good retrieval.
• Import and export embedding vectors as complete bundles.

Agents that ask

Agents can now pause mid-turn to ask multiple-choice questions, rendered as inline questionnaires. Instead of guessing, an agent can check with you and then continue — a small change that makes complex, multi-step tasks far more reliable.

Search that understands filters

The search box now understands inline filters like @file, @webpage, filetype:, ext: and src: — so you can narrow results without leaving the keyboard. Per-signal weights genuinely affect ranking under reciprocal-rank fusion, and internal node types are excluded from results by default.

Operate with less friction

• In-product software updates for Docker deployments, from a new Software Updates page.
• A Deletion Queue observability page showing nodes scheduled for delayed deletion, and agent-run inspection with reusable admin diagnostic snippets.
• Run scheduled tasks directly from the editor, and a Tasks page that separates custom-code tasks from built-in types.
• Newer OpenAI models (GPT-5.2, plus nano and mini variants) are selected correctly, and custom OpenAI hosts auto-detect their API style.

The little things

• Clear error messages on failed chat replies, with a "Try again" button.
• A built-in local chat-name model generates titles with no external provider.
• Faster loading of large graphs through streaming passes.
• Provider logos shown in Models & Pricing instead of raw codes.

---

This overview covers builds v26.6.67170 → v26.6.67397 (June 1–13). For the full, build-by-build detail see the changelog.