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3805494250
Validado no worktree combinado do lote: typecheck:core, lint, gates de qualidade (file-size rebaselineado com justificativa — crescimento legítimo em modelCapabilities.ts/commandCode.ts) e os 97+9 testes focados (vision-bridge, command-code vision, model-select-field-catalog-vision) todos verdes. Duas correções reais (#10808/#10809) bem documentadas. CI vermelho neste PR é o base-red já rastreado em #9985. Obrigado!
77 lines
3.5 KiB
TypeScript
77 lines
3.5 KiB
TypeScript
/**
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* Verify that command-code registry models with `supportsVision: true` resolve
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* correctly via `getResolvedModelCapabilities`.
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*
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* Before the fix: the command-code registry had NO `supportsVision` flags.
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* The guardrail used `getResolvedModelCapabilities` → `resolveVisionCapability`,
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* which had no registry flag and no heuristic match, returning `null`/`false`.
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* This caused the Vision Bridge to incorrectly reroute to opencode-zen (401).
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*
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* After the fix: the registry declares `supportsVision: true` for CC
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* vision-capable models, so the guardrail sees native vision support and
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* passes through unmodified — EXCEPT the text-only codex variant
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* (`gpt-5.3-codex` via the Command Code gateway), which issue #10703 confirms
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* cannot see images and was previously mis-flagged as vision in the registry.
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* It follows the same `KNOWN_TEXT_ONLY_DESPITE_SYNC` hard-override path as
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* `mimo-v2.5-pro`. `gpt-5.4-mini` is intentionally left as vision-capable —
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* it's a real OpenAI multimodal model and the Command Code gateway forwards
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* images correctly for it.
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*/
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import test from "node:test";
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import assert from "node:assert/strict";
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import { getResolvedModelCapabilities } from "../../src/lib/modelCapabilities.ts";
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// ── Models that SHOULD have supportsVision: true ────────────────────────────
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const CC_VISION: [string, string][] = [
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["Claude Opus 4.7 (CC)", "command-code/claude-opus-4-7"],
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["Claude Opus 4.6 (CC)", "command-code/claude-opus-4-6"],
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["Claude Sonnet 4.6 (CC)", "command-code/claude-sonnet-4-6"],
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["Claude Haiku 4.5 (CC)", "command-code/claude-haiku-4-5-20251001"],
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["GPT-5.5 (CC)", "command-code/gpt-5.5"],
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["GPT-5.4 (CC)", "command-code/gpt-5.4"],
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["GPT-5.4 Mini (CC)", "command-code/gpt-5.4-mini"],
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["Kimi K2.6 (CC)", "command-code/moonshotai/Kimi-K2.6"],
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["Kimi K2.5 (CC)", "command-code/moonshotai/Kimi-K2.5"],
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["Qwen 3.6 Plus (CC)", "command-code/Qwen/Qwen3.6-Plus"],
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];
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// ── Models that MUST NOT claim vision (text-only) ──────────────────────────
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const CC_TEXT_ONLY: [string, string][] = [
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["GPT-5.3 Codex (CC)", "command-code/gpt-5.3-codex"],
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["DeepSeek V4 Pro (CC)", "command-code/deepseek/deepseek-v4-pro"],
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["DeepSeek V4 Flash (CC)", "command-code/deepseek/deepseek-v4-flash"],
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["GLM-5.1 (CC)", "command-code/zai-org/GLM-5.1"],
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["GLM-5 (CC)", "command-code/zai-org/GLM-5"],
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["MiniMax M2.7 (CC)", "command-code/MiniMaxAI/MiniMax-M2.7"],
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["MiniMax M2.5 (CC)", "command-code/MiniMaxAI/MiniMax-M2.5"],
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["Qwen 3.6 Max Preview (CC)", "command-code/Qwen/Qwen3.6-Max-Preview"],
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];
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for (const [name, modelId] of CC_VISION) {
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test(`${name} resolves supportsVision: true`, () => {
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const caps = getResolvedModelCapabilities(modelId);
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assert.equal(caps.supportsVision, true, `${modelId} must have supportsVision: true`);
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assert.equal(caps.provider, "command-code");
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});
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}
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for (const [name, modelId] of CC_TEXT_ONLY) {
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test(`${name} does not falsely claim vision`, () => {
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const caps = getResolvedModelCapabilities(modelId);
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assert.notEqual(
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caps.supportsVision,
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true,
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`${modelId} is text-only — must not have supportsVision: true`
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);
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assert.equal(caps.provider, "command-code");
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});
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}
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test("MiniMax M3 via command-code keeps existing vision capability (no regression)", () => {
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const caps = getResolvedModelCapabilities("command-code/MiniMaxAI/MiniMax-M3");
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assert.equal(caps.supportsVision, true);
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});
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