13b468b889
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.
80 lines
3.2 KiB
JavaScript
80 lines
3.2 KiB
JavaScript
// OpenAI → Gemini / Cursor / CommandCode request translation.
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import { describe, it, expect } from "vitest";
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import "./registerAll.js";
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import { translateRequest } from "../../open-sse/translator/index.js";
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import { FORMATS } from "../../open-sse/translator/formats.js";
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const O2G = (body) => translateRequest(FORMATS.OPENAI, FORMATS.GEMINI, "m", body, true, null, "gemini");
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const O2C = (body) => translateRequest(FORMATS.OPENAI, FORMATS.CURSOR, "m", body, true, null, "cursor");
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const O2CC = (body) => translateRequest(FORMATS.OPENAI, FORMATS.COMMANDCODE, "m", body, true, null, "commandcode");
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describe("OpenAI → Gemini", () => {
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// openai-to-gemini.js:92-96 — each system message overwrites systemInstruction → only last kept
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// KNOWN BUG
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it.fails("multiple system messages are all kept", () => {
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const out = O2G({
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messages: [
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{ role: "system", content: "RULE_ONE" },
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{ role: "system", content: "RULE_TWO" },
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{ role: "user", content: "hi" },
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],
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});
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expect(JSON.stringify(out.systemInstruction), "earlier system lost").toContain("RULE_ONE");
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});
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});
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describe("OpenAI → Cursor", () => {
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// openai-to-cursor.js:12-24 — image content fully dropped (text only)
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// KNOWN BUG
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it.fails("image content is preserved", () => {
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const out = O2C({
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messages: [{ role: "user", content: [
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{ type: "text", text: "look" },
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{ type: "image_url", image_url: { url: "data:image/png;base64,AAAA" } },
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] }],
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});
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expect(JSON.stringify(out), "image dropped").toContain("AAAA");
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});
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// openai-to-cursor.js:179 — max_tokens hardcoded to 32000
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// KNOWN BUG
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it.fails("respects client max_tokens", () => {
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const out = O2C({ max_tokens: 200, messages: [{ role: "user", content: "hi" }] });
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expect(out.max_tokens).toBe(200);
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});
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});
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describe("OpenAI → CommandCode", () => {
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// openai-to-commandcode.js:53-57 — safeParseJson returns {} on bad JSON (args silently lost)
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// KNOWN BUG
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it.fails("malformed tool arguments are not silently emptied", () => {
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const out = O2CC({
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messages: [
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{ role: "user", content: "go" },
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{ role: "assistant", content: "", tool_calls: [
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{ id: "c1", type: "function", function: { name: "f", arguments: "{bad" } },
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] },
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{ role: "tool", tool_call_id: "c1", content: "r" },
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],
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});
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const asst = out.params.messages.find((m) => m.role === "assistant");
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const call = asst.content.find((b) => b.type === "tool-call");
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expect(Object.keys(call.input).length, "arguments silently dropped to {}").toBeGreaterThan(0);
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});
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it("image content is preserved as native CommandCode image blocks", () => {
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const out = O2CC({
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messages: [{ role: "user", content: [
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{ type: "text", text: "look" },
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{ type: "image_url", image_url: { url: "data:image/png;base64,BBBB" } },
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] }],
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});
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expect(JSON.stringify(out)).toContain("BBBB");
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expect(JSON.stringify(out)).not.toContain("[image omitted]");
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expect(out.params.messages[0].content).toEqual([
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{ type: "text", text: "look" },
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{ type: "image", image: "data:image/png;base64,BBBB", mimeType: "image/png" },
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]);
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});
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});
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