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Proposals/Pin models and tune reasoning effort per task
proposaldeveloperP4Worth a lookGoogle Antigravity

Pin models and tune reasoning effort per task

Antigravity 1.1.5 adds stable model slugs, /effort and --effort controls, a redesigned /model picker with effort gauges, and per-agent model frontmatter. Use them to pin reproducible model choices and trade latency for depth on the fly instead of accepting defaults.

Why this loop

1.1.5 makes model identity and reasoning depth explicit instead of session defaults. Stable user-facing slugs now appear in /model and are accepted by --model, so a choice can be pinned across launches. /effort shows and changes the current reasoning effort via a Left/Right timeline-gauge or /effort <level>; --effort selects a reasoning-effort variant at CLI start. /model groups by base model, uses the same gauge, and shows an effort badge on the status line for multi-variant models. Custom agent frontmatter gains model (e.g. flash or pro) for subagents, defaulting to inherit. Pin slug plus effort per task rather than re-accepting defaults.

Proposed actions

  1. Launch the CLI with a pinned slug and effort variant: --model <stable-slug-from-/model> --effort <level>, then confirm the status-line effort badge matches that variant.
  2. In the session run /effort to view the current reasoning effort; change it with Left/Right on the timeline gauge or /effort <level> before continuing so this task trades latency for depth without restart.
  3. Open /model, pick the grouped base model, set effort on the timeline gauge (Left/Right), and copy the stable user-facing slug shown so the next launch can pass that exact slug to --model.
  4. On a custom subagent, set frontmatter model: pro or model: flash (not inherit) so that agent runs at the chosen tier when invoked rather than following the parent.

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Goal: turn this release signal into a safe pilot plan for my stack.

Context

Assistant: Google Antigravity Proposal: Pin models and tune reasoning effort per task Summary: Antigravity 1.1.5 adds stable model slugs, /effort and --effort controls, a redesigned /model picker with effort gauges, and per-agent model frontmatter. Use them to pin reproducible model choices and trade latency for depth on the fly instead of accepting defaults. Primary source: https://github.com/google-antigravity/antigravity-cli/releases/tag/1.1.5

Why it matters

1.1.5 makes model identity and reasoning depth explicit instead of session defaults. Stable user-facing slugs now appear in /model and are accepted by --model, so a choice can be pinned across launches. /effort shows and changes the current reasoning effort via a Left/Right timeline-gauge or /effort <level>; --effort selects a reasoning-effort variant at CLI start. /model groups by base model, uses the same gauge, and shows an effort badge on the status line for multi-variant models. Custom agent frontmatter gains model (e.g. flash or pro) for subagents, defaulting to inherit. Pin slug plus effort per task rather than re-accepting defaults.

Suggested actions

  1. Launch the CLI with a pinned slug and effort variant: --model <stable-slug-from-/model> --effort <level>, then confirm the status-line effort badge matches that variant.
  2. In the session run /effort to view the current reasoning effort; change it with Left/Right on the timeline gauge or /effort <level> before continuing so this task trades latency for depth without restart.
  3. Open /model, pick the grouped base model, set effort on the timeline gauge (Left/Right), and copy the stable user-facing slug shown so the next launch can pass that exact slug to --model.
  4. On a custom subagent, set frontmatter model: pro or model: flash (not inherit) so that agent runs at the chosen tier when invoked rather than following the parent.

Config surfaces this release may change

  • subagent definitions — check your repo before applying
  • MCP servers — check your repo before applying
  • permission rules — check your repo before applying

After you finish

Do not report this as applied to DevAgentRadar. You cannot write the visitor's loop.

Tell the human: open https://devagentradar.com/proposals/google-antigravity-1-1-5-pin-models-and-tune-reasoning-effort-per-task and mark Applied, Skipped, or Failed. Proposal id: 1b564787-eba4-4830-9489-cdf5a1d7ead7

Please:

  1. Map the change to concrete pilot steps
  2. Flag security / permission implications
  3. Keep the pilot reversible
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Originating release signal

Google Antigravity1.1.5Jul 21, 2026

1.1.5

Added a /effort command to view and change the current model's reasoning effort, with a left/right timeline-gauge picker and a direct /effort <level> form so you can trade latency for depth on the fly. · Added an --effort flag to select a model's reasoning-effort variant when launching the CLI. · Added stable, user-facing model slugs that appear in the /model picker and are accepted by --model, so you can pin a specific model reliably across sessions. · +10 more changes
Verified excerpt — the source's own words
  • Added a /effort command to view and change the current model's reasoning effort, with a left/right timeline-gauge picker and a direct /effort <level> form so you can trade latency for depth on the fly.
  • Added an --effort flag to select a model's reasoning-effort variant when launching the CLI.
  • Added stable, user-facing model slugs that appear in the /model picker and are accepted by --model, so you can pin a specific model reliably across sessions.
  • Added a model option to custom agent frontmatter so an agent runs at a chosen model tier (such as flash or pro) when invoked as a subagent, defaulting to inherit (the parent's model).
  • Redesigned the /model picker to group models by their base model and choose reasoning effort from a timeline gauge navigable with Left and Right, and added an effort badge to the status line for models that expose multiple effort variants.
  • Improved the /settings (/config) panel by making it a bounded, scrollable list so it renders correctly in short terminals instead of overflowing, and stopped it from flickering when opening and closing dropdowns.

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