🤖 feat: refresh LiteLLM models and prune stale overrides

[ammar-agent]

Summary

This PR adds a reusable update-models skill, runs a full model-refresh cycle, and prunes stale models-extra overrides that upstream LiteLLM now covers.

Background

models-extra.ts is checked before models.json, so stale local overrides silently shadow corrected upstream metadata. We needed a repeatable workflow that makes pruning safe and routine.

Implementation

• Added .mux/skills/update-models/SKILL.md with an end-to-end workflow for:
  • refreshing models.json
  • diffing models-extra against upstream
  • deciding remove/keep/update
  • running focused validation
• Executed the workflow and refreshed src/common/utils/tokens/models.json from upstream LiteLLM.
• Pruned src/common/utils/tokens/models-extra.ts down to only models still missing upstream (gpt-5.3-codex, gpt-5.3-codex-spark).
• Updated model-related tests to match current data ownership and remove stale assumptions tied to older overrides.
• Incorporated cycle findings back into the skill (including a comparison script and lessons learned section).
• Stabilized tests/ui/compaction/compaction.test.ts by pinning compaction-flow test sends to Sonnet so auto-compaction still has a deterministic higher-context fallback after Opus metadata moved to 1M context upstream.

Validation

• make static-check
• bun test src/common/constants/knownModels.test.ts src/common/utils/tokens/modelStats.test.ts src/common/utils/ai/modelCapabilities.test.ts
• TEST_INTEGRATION=1 bun x jest tests/ui/compaction/compaction.test.ts --runInBand

Risks

• Upstream token/cost metadata changes can alter runtime context/cost behavior.
• Mitigated by preserving only intentional local overrides still missing upstream and validating known model resolution + compaction UI behavior.

---

Generated with mux • Model: openai:gpt-5.3-codex • Thinking: xhigh • Cost: $2.12

[ammar-agent]

@codex review

Please review the models refresh + models-extra pruning + update-models skill improvements.

[ammar-agent]

@codex review

Rebased onto latest main, resolved merge conflicts, and re-ran static-check + targeted model tests.

[chatgpt-codex-connector]

Codex Review: Didn't find any major issues. You're on a roll.

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[ammar-agent]

@codex review

Addressed the failing integration check by making compaction UI tests deterministic with an explicit lower-context model for compaction flows. Re-ran static-check and targeted tests.

[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: fab0f4d20f

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[ammar-agent]

@codex review

Addressed the draft-preservation test concern by keeping sendMessage in-flight while typing the draft, then awaiting completion.

[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: 8b5999184e

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[ammar-agent]

@codex review

Adjusted the compaction draft-preservation test to keep the UI send path (app.chat.send) while still making auto-compaction deterministic via preferred compaction model setup before render.

[chatgpt-codex-connector]

Codex Review: Didn't find any major issues. 🚀

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