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* feat(minimax): add image generation and TTS providers, trim TUI model list Register MiniMax image-01 and speech-2.8 models as plugin providers for the image_generate and TTS tools. Both resolve CN/global base URLs from the configured model endpoint origin. - Image generation: base64 response, aspect-ratio support, image-to-image via subject_reference, registered for minimax and minimax-portal - TTS: speech-2.8-turbo (default) and speech-2.8-hd, hex-encoded audio, voice listing via get_voice API, telephony PCM support - Add MiniMax to TTS auto-detection cascade (after ElevenLabs, before Microsoft) and TTS config section - Remove MiniMax-VL-01, M2, M2.1, M2.5 and variants from TUI picker; keep M2.7 and M2.7-highspeed only (backend routing unchanged) * feat(minimax): trim legacy model catalog to M2.7 only Cherry-picked from temp/feat/minimax-trim-legacy-models (949ed28). Removes MiniMax-VL-01, M2, M2.1, M2.5 and variants from the model catalog, model order, modern model matchers, OAuth config, docs, and tests. Keeps only M2.7 and M2.7-highspeed. Conflicts resolved: - provider-catalog.ts: removed MINIMAX_TUI_MODELS filter (no longer needed since source array is now M2.7-only) - index.ts: kept image generation + speech provider registrations (added by this branch), moved media understanding registrations earlier (as intended by the cherry-picked commit) * fix(minimax): update discovery contract test to reflect M2.7-only catalog Cherry-picked from temp/feat/minimax-trim-legacy-models (2c750cb). * feat(minimax): add web search provider and register in plugin entry * fix(minimax): resolve OAuth credentials for TTS speech provider * MiniMax: remove web search and TTS providers * fix(minimax): throw on empty images array after generation failure * feat(minimax): add image generation provider and trim catalog to M2.7 (#54487) (thanks @liyuan97) --------- Co-authored-by: tars90percent <tars@minimaxi.com> Co-authored-by: George Zhang <georgezhangtj97@gmail.com>
54 lines
1.7 KiB
TypeScript
54 lines
1.7 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import {
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buildMinimaxApiModelDefinition,
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buildMinimaxModelDefinition,
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DEFAULT_MINIMAX_CONTEXT_WINDOW,
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DEFAULT_MINIMAX_MAX_TOKENS,
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MINIMAX_API_COST,
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MINIMAX_HOSTED_MODEL_ID,
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} from "./model-definitions.js";
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describe("minimax model definitions", () => {
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it("uses M2.7 as default hosted model", () => {
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expect(MINIMAX_HOSTED_MODEL_ID).toBe("MiniMax-M2.7");
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});
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it("uses the higher upstream MiniMax context and token defaults", () => {
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expect(DEFAULT_MINIMAX_CONTEXT_WINDOW).toBe(204800);
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expect(DEFAULT_MINIMAX_MAX_TOKENS).toBe(131072);
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expect(MINIMAX_API_COST).toEqual({
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input: 0.3,
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output: 1.2,
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cacheRead: 0.06,
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cacheWrite: 0.375,
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});
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});
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it("builds catalog model with name and reasoning from catalog", () => {
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const model = buildMinimaxModelDefinition({
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id: "MiniMax-M2.7",
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cost: MINIMAX_API_COST,
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contextWindow: DEFAULT_MINIMAX_CONTEXT_WINDOW,
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maxTokens: DEFAULT_MINIMAX_MAX_TOKENS,
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});
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expect(model).toMatchObject({
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id: "MiniMax-M2.7",
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name: "MiniMax M2.7",
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reasoning: true,
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});
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});
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it("builds API model definition with standard cost", () => {
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const model = buildMinimaxApiModelDefinition("MiniMax-M2.7");
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expect(model.cost).toEqual(MINIMAX_API_COST);
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expect(model.contextWindow).toBe(DEFAULT_MINIMAX_CONTEXT_WINDOW);
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expect(model.maxTokens).toBe(DEFAULT_MINIMAX_MAX_TOKENS);
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});
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it("falls back to generated name for unknown model id", () => {
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const model = buildMinimaxApiModelDefinition("MiniMax-Future");
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expect(model.name).toBe("MiniMax MiniMax-Future");
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expect(model.reasoning).toBe(false);
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});
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});
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