mac-mini

# Mac mini side model The coder serves one request. The main session reads images through Strata. A subagent reads images on its own model. A second request on the coder drops the prompt cache. Judge and subagents go to the provider named `mac` in `~/.omp/profiles/omp-strata/agent/models.yml`. ## What to call - Saved image in the main session: `read <path>?q=<question>`. This uses `modelRoles.vision` on the Strata coder. It takes the coder's only slot, so the next coder turn reads the prompt cold. - Saved image in a subagent: the same `read <path>?q=<question>`. The extension returns the image on this subagent's model. That is the Mac while it answers. After the Mac call has continued on the coder, the image returns there. - Screenshot classification, yes/no, ranking: `judge()` in eval. This tries `modelRoles.judge` on the Mac. Batch questions in one call. If the Mac does not answer, omp continues that call on the coder. - Side work, research, or a long look that should not sit on the coder: the `task` tool. The extension pins every subagent to `SIDE_MODEL` in `agent/extensions/fail-loop-resteer.ts`. A failed Mac request continues on the coder. - Numbers from the game, one probe after an edit: `cinderline/tools/where.mjs`, `touchprobe.mjs`, or `menutest.mjs`. Do not run `describe.mjs`. It holds this turn and lets the side model think the budget away. `completion()` stays blocked. It would call the coder. ## Direct HTTP Read `baseUrl` from the `mac` provider. OpenAI chat completions, model id from that provider. Send `reasoning_effort: "none"` and `max_tokens` of at least 1500. Thinking left on can spend the whole budget and return empty content. Images must be PNG data URLs: `data:image/png;base64,...`. A WebP data URL is rejected. omp itself re-encodes when the model sets `imageInputDecoder: stb`. ## Context The side model's `contextWindow` in `models.yml` must match the context LM Studio actually loaded. Handoff stays on the coder: omp 18.4.4 builds that summary on the session model's prompt cache. Leave the coder's `compactionModel` unset while `compaction.thresholdTokens` is above this context window.