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f8ef562658
* fix(sse): recognize xiaomi-tokenplan mimo as a thinking-mode model (port from 9router#1321) The reasoning_content injector already handles DeepSeek/Kimi/K2/MiniMax thinking-mode upstreams, echoing a placeholder reasoning_content on assistant turns that lack one. Its THINKING_MODEL_PATTERNS list omitted the xiaomi-tokenplan mimo family, so requests through xiaomi-tokenplan/mimo-v2.5-pro still hit upstream's 400 'reasoning_content in the thinking mode must be passed back to the API', making the model unusable in multi-turn conversations (e.g. Codex CLI). Add a /\bmimo\b/i pattern so mimo models get the same treatment. Reported-by: z.wl (@xxue-z) (https://github.com/decolua/9router/issues/1321) * docs(changelog): add fragment for #7098 mimo thinking-model fix
45 lines
1.6 KiB
TypeScript
45 lines
1.6 KiB
TypeScript
import { describe, it } from "node:test";
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import assert from "node:assert/strict";
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import {
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isThinkingMessageModel,
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injectReasoningContentForThinkingModel,
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} from "../../open-sse/utils/reasoningContentInjector.ts";
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describe("reasoningContentInjector — xiaomi-tokenplan mimo family (9router#1321)", () => {
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it("recognizes xiaomi-tokenplan/mimo-v2.5-pro as a thinking-mode model", () => {
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assert.equal(isThinkingMessageModel("xiaomi-tokenplan/mimo-v2.5-pro"), true);
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});
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it("recognizes bare mimo model ids as thinking-mode models", () => {
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assert.equal(isThinkingMessageModel("mimo-v2.5-pro"), true);
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});
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it("still recognizes the existing thinking-mode families (deepseek/kimi/k2/minimax)", () => {
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assert.equal(isThinkingMessageModel("deepseek-v4-flash"), true);
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assert.equal(isThinkingMessageModel("kimi-k2"), true);
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assert.equal(isThinkingMessageModel("minimax-m2"), true);
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});
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it("does not flag unrelated model ids", () => {
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assert.equal(isThinkingMessageModel("gpt-4o"), false);
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});
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it("injects a reasoning_content placeholder for assistant messages when routed to mimo", () => {
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const body = {
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model: "xiaomi-tokenplan/mimo-v2.5-pro",
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messages: [
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{ role: "user", content: "hi" },
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{ role: "assistant", content: "hello" },
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],
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};
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// Simulate the executor gate: only inject when the model is a thinking model.
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assert.equal(isThinkingMessageModel(body.model), true);
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const result = injectReasoningContentForThinkingModel(body) as typeof body;
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const assistantMsg = result.messages[1] as Record<string, unknown>;
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assert.equal(assistantMsg.reasoning_content, " ");
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});
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});
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