fix(commandcode): preserve images and reasoning_effort on /alpha/generate
Command Code dropped vision and ignored client effort through the router:
image blocks became "[image omitted]", HTTP image URLs were never inlined,
and reasoning_effort landed on the envelope wrapper instead of params (so the
DeepSeek family mapping remapped low -> high). The catalog also treated
deepseek/deepseek-v4.1-flash as text-only, so the vision adapter stole those
requests to another provider.
- Map OpenAI image_url / Claude image blocks (base64 or data-URI) to the
native {type:"image", image:"data:...;base64,...", mimeType} generate block.
- Add FORMATS.COMMANDCODE to TARGETS_NEED_BASE64 so remote http(s) images are
inlined by the existing SSRF-safe fetcher before translation.
- Write reasoning_effort inside params for targetFormat commandcode and pass
low|medium|high|xhigh|max through unmapped; allow it in thinkingLevels.
- Provider-scoped capabilities for commandcode/cmc: vision except the CLI
text-only denylist, thinkingFormat commandcode, so family patterns
(deepseek-v4 -> thinkingFormat deepseek, vision false) no longer win.
- Quota Tracker: whoami + billing credits/subscriptions (credits vs plan cap,
5h and weekly windows), labels from AI_PROVIDERS[].name.
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@@ -73,4 +73,26 @@ describe("getCapabilitiesForModel", () => {
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maxOutput: 128000,
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});
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});
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it("CommandCode v4.1-flash is vision + effort capable", () => {
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expect(getCapabilitiesForModel("commandcode", "deepseek/deepseek-v4.1-flash")).toMatchObject({
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vision: true,
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reasoning: true,
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thinkingFormat: "commandcode",
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thinkingEffortSupported: true,
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});
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});
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it("CommandCode MiniMax-M3 is vision capable", () => {
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expect(getCapabilitiesForModel("commandcode", "MiniMaxAI/MiniMax-M3").vision).toBe(true);
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});
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it("CommandCode text-only DeepSeek V4 Flash stays non-vision", () => {
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expect(getCapabilitiesForModel("commandcode", "deepseek/deepseek-v4-flash").vision).toBe(false);
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expect(getCapabilitiesForModel("commandcode", "deepseek/deepseek-v4-flash")).toMatchObject({
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reasoning: true,
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thinkingFormat: "commandcode",
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thinkingEffortSupported: true,
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});
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});
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});
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