feat(minimax): add image generation provider and trim model catalog to M2.7 (#54487)

* 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>
This commit is contained in:
liyuan97
2026-03-26 00:29:35 +08:00
committed by GitHub
parent 7cc86e9685
commit e2e9f979ca
21 changed files with 247 additions and 192 deletions

View File

@@ -8,6 +8,9 @@ Docs: https://docs.openclaw.ai
### Changes
- MiniMax: add image generation provider for `image-01` model, supporting generate and image-to-image editing with aspect ratio control. (#54487) Thanks @liyuan97.
- MiniMax: trim model catalog to M2.7 only, removing legacy M2, M2.1, M2.5, and VL-01 models. (#54487) Thanks @liyuan97.
### Fixes
- Agents/sandbox: honor `tools.sandbox.tools.alsoAllow`, let explicit sandbox re-allows remove matching built-in default-deny tools, and keep sandbox explain/error guidance aligned with the effective sandbox tool policy. (#54492) Thanks @ngutman.

View File

@@ -2153,9 +2153,8 @@ Quick answers plus deeper troubleshooting for real-world setups (local dev, VPS,
1. Upgrade to a current OpenClaw release (or run from source `main`), then restart the gateway.
2. Make sure MiniMax is configured (wizard or JSON), or that a MiniMax API key
exists in env/auth profiles so the provider can be injected.
3. Use the exact model id (case-sensitive): `minimax/MiniMax-M2.7`,
`minimax/MiniMax-M2.7-highspeed`, `minimax/MiniMax-M2.5`, or
`minimax/MiniMax-M2.5-highspeed`.
3. Use the exact model id (case-sensitive): `minimax/MiniMax-M2.7` or
`minimax/MiniMax-M2.7-highspeed`.
4. Run:
```bash

View File

@@ -8,16 +8,12 @@ title: "MiniMax"
# MiniMax
OpenClaw's MiniMax provider defaults to **MiniMax M2.7** and keeps
**MiniMax M2.5** in the catalog for compatibility.
OpenClaw's MiniMax provider defaults to **MiniMax M2.7**.
## Model lineup
- `MiniMax-M2.7`: default hosted text model.
- `MiniMax-M2.7-highspeed`: faster M2.7 text tier.
- `MiniMax-M2.5`: previous text model, still available in the MiniMax catalog.
- `MiniMax-M2.5-highspeed`: faster M2.5 text tier.
- `MiniMax-VL-01`: vision model for text + image inputs.
## Choose a setup
@@ -80,24 +76,6 @@ Configure via CLI:
contextWindow: 200000,
maxTokens: 8192,
},
{
id: "MiniMax-M2.5",
name: "MiniMax M2.5",
reasoning: true,
input: ["text"],
cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
contextWindow: 200000,
maxTokens: 8192,
},
{
id: "MiniMax-M2.5-highspeed",
name: "MiniMax M2.5 Highspeed",
reasoning: true,
input: ["text"],
cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
contextWindow: 200000,
maxTokens: 8192,
},
],
},
},
@@ -128,46 +106,6 @@ Example below uses Opus as a concrete primary; swap to your preferred latest-gen
}
```
### Optional: Local via LM Studio (manual)
**Best for:** local inference with LM Studio.
We have seen strong results with MiniMax M2.5 on powerful hardware (e.g. a
desktop/server) using LM Studio's local server.
Configure manually via `openclaw.json`:
```json5
{
agents: {
defaults: {
model: { primary: "lmstudio/minimax-m2.5-gs32" },
models: { "lmstudio/minimax-m2.5-gs32": { alias: "Minimax" } },
},
},
models: {
mode: "merge",
providers: {
lmstudio: {
baseUrl: "http://127.0.0.1:1234/v1",
apiKey: "lmstudio",
api: "openai-responses",
models: [
{
id: "minimax-m2.5-gs32",
name: "MiniMax M2.5 GS32",
reasoning: true,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 196608,
maxTokens: 8192,
},
],
},
},
},
}
```
## Configure via `openclaw configure`
Use the interactive config wizard to set MiniMax without editing JSON:
@@ -190,7 +128,7 @@ Use the interactive config wizard to set MiniMax without editing JSON:
- Model refs are `minimax/<model>`.
- Default text model: `MiniMax-M2.7`.
- Alternate text models: `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`.
- Alternate text model: `MiniMax-M2.7-highspeed`.
- Coding Plan usage API: `https://api.minimaxi.com/v1/api/openplatform/coding_plan/remains` (requires a coding plan key).
- Update pricing values in `models.json` if you need exact cost tracking.
- Referral link for MiniMax Coding Plan (10% off): [https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link](https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link)
@@ -214,8 +152,6 @@ Make sure the model id is **casesensitive**:
- `minimax/MiniMax-M2.7`
- `minimax/MiniMax-M2.7-highspeed`
- `minimax/MiniMax-M2.5`
- `minimax/MiniMax-M2.5-highspeed`
Then recheck with:

View File

@@ -3,7 +3,7 @@
Bundled MiniMax plugin for both:
- API-key provider setup (`minimax`)
- Coding Plan OAuth setup (`minimax-portal`)
- Token Plan OAuth setup (`minimax-portal`)
## Enable
@@ -34,4 +34,4 @@ openclaw setup --wizard --auth-choice minimax-global-api
## Notes
- MiniMax OAuth uses a user-code login flow.
- OAuth currently targets the Coding Plan path.
- OAuth currently targets the Token Plan path.

View File

@@ -0,0 +1,176 @@
import type { ImageGenerationProvider } from "openclaw/plugin-sdk/image-generation";
import { resolveApiKeyForProvider } from "openclaw/plugin-sdk/provider-auth";
const DEFAULT_MINIMAX_IMAGE_BASE_URL = "https://api.minimax.io";
const DEFAULT_MODEL = "image-01";
const DEFAULT_OUTPUT_MIME = "image/png";
const MINIMAX_SUPPORTED_ASPECT_RATIOS = [
"1:1",
"16:9",
"4:3",
"3:2",
"2:3",
"3:4",
"9:16",
"21:9",
] as const;
type MinimaxImageApiResponse = {
data?: {
image_base64?: string[];
};
metadata?: {
success_count?: number;
failed_count?: number;
};
id?: string;
base_resp?: {
status_code?: number;
status_msg?: string;
};
};
function resolveMinimaxImageBaseUrl(
cfg: Parameters<typeof resolveApiKeyForProvider>[0]["cfg"],
providerId: string,
): string {
const direct = cfg?.models?.providers?.[providerId]?.baseUrl?.trim();
if (!direct) {
return DEFAULT_MINIMAX_IMAGE_BASE_URL;
}
// Extract origin from the configured base URL (which may include path like /anthropic)
try {
return new URL(direct).origin;
} catch {
return DEFAULT_MINIMAX_IMAGE_BASE_URL;
}
}
function buildMinimaxImageProvider(providerId: string): ImageGenerationProvider {
return {
id: providerId,
label: "MiniMax",
defaultModel: DEFAULT_MODEL,
models: [DEFAULT_MODEL],
capabilities: {
generate: {
maxCount: 9,
supportsSize: false,
supportsAspectRatio: true,
supportsResolution: false,
},
edit: {
enabled: true,
maxCount: 9,
maxInputImages: 1,
supportsSize: false,
supportsAspectRatio: true,
supportsResolution: false,
},
geometry: {
aspectRatios: [...MINIMAX_SUPPORTED_ASPECT_RATIOS],
},
},
async generateImage(req) {
const auth = await resolveApiKeyForProvider({
provider: providerId,
cfg: req.cfg,
agentDir: req.agentDir,
store: req.authStore,
});
if (!auth.apiKey) {
throw new Error("MiniMax API key missing");
}
const baseUrl = resolveMinimaxImageBaseUrl(req.cfg, providerId);
const body: Record<string, unknown> = {
model: req.model || DEFAULT_MODEL,
prompt: req.prompt,
response_format: "base64",
n: req.count ?? 1,
};
if (req.aspectRatio?.trim()) {
body.aspect_ratio = req.aspectRatio.trim();
}
// Map input images to subject_reference for image-to-image generation
if (req.inputImages && req.inputImages.length > 0) {
const ref = req.inputImages[0];
const mime = ref.mimeType || "image/jpeg";
const dataUrl = `data:${mime};base64,${ref.buffer.toString("base64")}`;
body.subject_reference = [{ type: "character", image_file: dataUrl }];
}
const controller = new AbortController();
const timeoutMs = req.timeoutMs;
const timeout =
typeof timeoutMs === "number" && Number.isFinite(timeoutMs) && timeoutMs > 0
? setTimeout(() => controller.abort(), timeoutMs)
: undefined;
const response = await fetch(`${baseUrl}/v1/image_generation`, {
method: "POST",
headers: {
Authorization: `Bearer ${auth.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
signal: controller.signal,
}).finally(() => {
clearTimeout(timeout);
});
if (!response.ok) {
const text = await response.text().catch(() => "");
throw new Error(
`MiniMax image generation failed (${response.status}): ${text || response.statusText}`,
);
}
const data = (await response.json()) as MinimaxImageApiResponse;
const baseResp = data.base_resp;
if (baseResp && typeof baseResp.status_code === "number" && baseResp.status_code !== 0) {
const msg = baseResp.status_msg ?? "";
throw new Error(`MiniMax image generation API error (${baseResp.status_code}): ${msg}`);
}
const base64Images = data.data?.image_base64 ?? [];
const failedCount = data.metadata?.failed_count ?? 0;
if (base64Images.length === 0) {
const reason =
failedCount > 0 ? `${failedCount} image(s) failed to generate` : "no images returned";
throw new Error(`MiniMax image generation returned no images: ${reason}`);
}
const images = base64Images
.map((b64, index) => {
if (!b64) {
return null;
}
return {
buffer: Buffer.from(b64, "base64"),
mimeType: DEFAULT_OUTPUT_MIME,
fileName: `image-${index + 1}.png`,
};
})
.filter((entry): entry is NonNullable<typeof entry> => entry !== null);
return {
images,
model: req.model || DEFAULT_MODEL,
};
},
};
}
export function buildMinimaxImageGenerationProvider(): ImageGenerationProvider {
return buildMinimaxImageProvider("minimax");
}
export function buildMinimaxPortalImageGenerationProvider(): ImageGenerationProvider {
return buildMinimaxImageProvider("minimax-portal");
}

View File

@@ -16,6 +16,10 @@ import {
MINIMAX_DEFAULT_MODEL_ID,
} from "openclaw/plugin-sdk/provider-models";
import { fetchMinimaxUsage } from "openclaw/plugin-sdk/provider-usage";
import {
buildMinimaxImageGenerationProvider,
buildMinimaxPortalImageGenerationProvider,
} from "./image-generation-provider.js";
import {
minimaxMediaUnderstandingProvider,
minimaxPortalMediaUnderstandingProvider,
@@ -130,22 +134,10 @@ function createOAuthHandler(region: MiniMaxRegion) {
agents: {
defaults: {
models: {
[portalModelRef("MiniMax-M2")]: { alias: "minimax-m2" },
[portalModelRef("MiniMax-M2.1")]: { alias: "minimax-m2.1" },
[portalModelRef("MiniMax-M2.1-highspeed")]: {
alias: "minimax-m2.1-highspeed",
},
[portalModelRef("MiniMax-M2.7")]: { alias: "minimax-m2.7" },
[portalModelRef("MiniMax-M2.7-highspeed")]: {
alias: "minimax-m2.7-highspeed",
},
[portalModelRef("MiniMax-M2.5")]: { alias: "minimax-m2.5" },
[portalModelRef("MiniMax-M2.5-highspeed")]: {
alias: "minimax-m2.5-highspeed",
},
[portalModelRef("MiniMax-M2.5-Lightning")]: {
alias: "minimax-m2.5-lightning",
},
},
},
},
@@ -243,6 +235,9 @@ export default definePluginEntry({
await fetchMinimaxUsage(ctx.token, ctx.timeoutMs, ctx.fetchFn),
});
api.registerMediaUnderstandingProvider(minimaxMediaUnderstandingProvider);
api.registerMediaUnderstandingProvider(minimaxPortalMediaUnderstandingProvider);
api.registerProvider({
id: PORTAL_PROVIDER_ID,
label: PROVIDER_LABEL,
@@ -285,7 +280,7 @@ export default definePluginEntry({
],
isModernModelRef: ({ modelId }) => isMiniMaxModernModelId(modelId),
});
api.registerMediaUnderstandingProvider(minimaxMediaUnderstandingProvider);
api.registerMediaUnderstandingProvider(minimaxPortalMediaUnderstandingProvider);
api.registerImageGenerationProvider(buildMinimaxImageGenerationProvider());
api.registerImageGenerationProvider(buildMinimaxPortalImageGenerationProvider());
},
});

View File

@@ -26,14 +26,14 @@ describe("minimax model definitions", () => {
it("builds catalog model with name and reasoning from catalog", () => {
const model = buildMinimaxModelDefinition({
id: "MiniMax-M2.1",
id: "MiniMax-M2.7",
cost: MINIMAX_API_COST,
contextWindow: DEFAULT_MINIMAX_CONTEXT_WINDOW,
maxTokens: DEFAULT_MINIMAX_MAX_TOKENS,
});
expect(model).toMatchObject({
id: "MiniMax-M2.1",
name: "MiniMax M2.1",
id: "MiniMax-M2.7",
name: "MiniMax M2.7",
reasoning: true,
});
});

View File

@@ -9,7 +9,6 @@ import {
} from "openclaw/plugin-sdk/provider-models";
const MINIMAX_PORTAL_BASE_URL = "https://api.minimax.io/anthropic";
const MINIMAX_DEFAULT_VISION_MODEL_ID = "MiniMax-VL-01";
const MINIMAX_DEFAULT_CONTEXT_WINDOW = 204800;
const MINIMAX_DEFAULT_MAX_TOKENS = 131072;
const MINIMAX_API_COST = {
@@ -45,22 +44,14 @@ function buildMinimaxTextModel(params: {
}
function buildMinimaxCatalog(): ModelDefinitionConfig[] {
return [
buildMinimaxModel({
id: MINIMAX_DEFAULT_VISION_MODEL_ID,
name: "MiniMax VL 01",
reasoning: false,
input: ["text", "image"],
}),
...MINIMAX_TEXT_MODEL_ORDER.map((id) => {
const model = MINIMAX_TEXT_MODEL_CATALOG[id];
return buildMinimaxTextModel({
id,
name: model.name,
reasoning: model.reasoning,
});
}),
];
return MINIMAX_TEXT_MODEL_ORDER.map((id) => {
const model = MINIMAX_TEXT_MODEL_CATALOG[id];
return buildMinimaxTextModel({
id,
name: model.name,
reasoning: model.reasoning,
});
});
}
export function buildMinimaxProvider(): ModelProviderConfig {

View File

@@ -329,8 +329,6 @@ describe("models-config", () => {
providers: Record<string, { apiKey?: string; models?: Array<{ id: string }> }>;
}>();
expect(parsed.providers.minimax?.apiKey).toBe("MINIMAX_API_KEY"); // pragma: allowlist secret
const ids = parsed.providers.minimax?.models?.map((model) => model.id);
expect(ids).toContain("MiniMax-VL-01");
});
});
});

View File

@@ -36,18 +36,12 @@ describe("minimax provider catalog", () => {
const providers = await resolveImplicitProvidersForTest({ agentDir });
expect(providers?.minimax?.models?.map((model) => model.id)).toEqual([
"MiniMax-VL-01",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
]);
expect(providers?.["minimax-portal"]?.models?.map((model) => model.id)).toEqual([
"MiniMax-VL-01",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
]);
});
});

View File

@@ -94,9 +94,6 @@ describe("MiniMax implicit provider (#15275)", () => {
const providers = await resolveImplicitProvidersForTest({ agentDir });
expect(providers?.["minimax-portal"]).toBeDefined();
expect(providers?.["minimax-portal"]?.authHeader).toBe(true);
expect(providers?.["minimax-portal"]?.models?.some((m) => m.id === "MiniMax-VL-01")).toBe(
true,
);
});
});
});

View File

@@ -207,7 +207,7 @@ describe("models-config", () => {
providerKey: "minimax",
expectedBaseUrl: "https://api.minimax.io/anthropic",
expectedApiKeyRef: "MINIMAX_API_KEY", // pragma: allowlist secret
expectedModelIds: ["MiniMax-M2.7", "MiniMax-VL-01"],
expectedModelIds: ["MiniMax-M2.7"],
});
});
});

View File

@@ -1940,20 +1940,20 @@ describe("applyExtraParamsToAgent", () => {
expect(resolvedModelId).toBe("MiniMax-M2.7-highspeed");
});
it("maps MiniMax M2.1 /fast to the matching highspeed model", () => {
it("maps MiniMax M2.7 /fast to the matching highspeed model", () => {
const resolvedModelId = runResolvedModelIdCase({
applyProvider: "minimax",
applyModelId: "MiniMax-M2.1",
applyModelId: "MiniMax-M2.7",
extraParamsOverride: { fastMode: true },
model: {
api: "anthropic-messages",
provider: "minimax",
id: "MiniMax-M2.1",
id: "MiniMax-M2.7",
baseUrl: "https://api.minimax.io/anthropic",
} as Model<"anthropic-messages">,
});
expect(resolvedModelId).toBe("MiniMax-M2.1-highspeed");
expect(resolvedModelId).toBe("MiniMax-M2.7-highspeed");
});
it("keeps explicit MiniMax highspeed models unchanged when /fast is off", () => {

View File

@@ -2,8 +2,6 @@ import type { StreamFn } from "@mariozechner/pi-agent-core";
import { streamSimple } from "@mariozechner/pi-ai";
const MINIMAX_FAST_MODEL_IDS = new Map<string, string>([
["MiniMax-M2.1", "MiniMax-M2.1-highspeed"],
["MiniMax-M2.5", "MiniMax-M2.5-highspeed"],
["MiniMax-M2.7", "MiniMax-M2.7-highspeed"],
]);

View File

@@ -63,18 +63,7 @@ export function resolveProviderVisionModelFromConfig(params: {
| { models?: Array<{ id?: string; input?: string[] }> }
| undefined;
const models = providerCfg?.models ?? [];
const preferMinimaxVl =
params.provider === "minimax"
? models.find(
(m) =>
(m?.id ?? "").trim() === "MiniMax-VL-01" &&
Array.isArray(m?.input) &&
m.input.includes("image"),
)
: null;
const picked =
preferMinimaxVl ??
models.find((m) => Boolean((m?.id ?? "").trim()) && m.input?.includes("image"));
const picked = models.find((m) => Boolean((m?.id ?? "").trim()) && m.input?.includes("image"));
const id = (picked?.id ?? "").trim();
return id ? `${params.provider}/${id}` : null;
}

View File

@@ -244,7 +244,7 @@ describe("directive behavior", () => {
api: "anthropic-messages",
models: [
{ id: "MiniMax-M2.7", name: "MiniMax M2.7" },
{ id: "MiniMax-M2.5", name: "MiniMax M2.5" },
{ id: "MiniMax-M2.7-highspeed", name: "MiniMax M2.7 Highspeed" },
],
},
},

View File

@@ -124,8 +124,7 @@ describe("directive behavior", () => {
workspace: path.join(home, "openclaw"),
models: {
"minimax/MiniMax-M2.7": {},
"minimax/MiniMax-M2.5": {},
"minimax/MiniMax-M2.5-highspeed": {},
"minimax/MiniMax-M2.7-highspeed": {},
"lmstudio/minimax-m2.5-gs32": {},
},
},
@@ -139,7 +138,7 @@ describe("directive behavior", () => {
api: "anthropic-messages",
models: [
makeModelDefinition("MiniMax-M2.7", "MiniMax M2.7"),
makeModelDefinition("MiniMax-M2.5", "MiniMax M2.5"),
makeModelDefinition("MiniMax-M2.7-highspeed", "MiniMax M2.7 Highspeed"),
],
},
lmstudio: {
@@ -153,11 +152,11 @@ describe("directive behavior", () => {
},
},
{
body: "/model minimax/m2.5",
body: "/model minimax/highspeed",
storePath: path.join(home, "sessions-provider-fuzzy.json"),
expectedSelection: {
provider: "minimax",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7-highspeed",
},
config: {
agents: {
@@ -166,8 +165,7 @@ describe("directive behavior", () => {
workspace: path.join(home, "openclaw"),
models: {
"minimax/MiniMax-M2.7": {},
"minimax/MiniMax-M2.5": {},
"minimax/MiniMax-M2.5-highspeed": {},
"minimax/MiniMax-M2.7-highspeed": {},
},
},
},
@@ -180,8 +178,7 @@ describe("directive behavior", () => {
api: "anthropic-messages",
models: [
makeModelDefinition("MiniMax-M2.7", "MiniMax M2.7"),
makeModelDefinition("MiniMax-M2.5", "MiniMax M2.5"),
makeModelDefinition("MiniMax-M2.5-highspeed", "MiniMax M2.5 Highspeed"),
makeModelDefinition("MiniMax-M2.7-highspeed", "MiniMax M2.7 Highspeed"),
],
},
},

View File

@@ -231,7 +231,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 1_048_576 }],
@@ -248,9 +248,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
contextTokens: 1_048_576,
@@ -263,7 +263,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/200k");
expect(normalized).not.toContain("Context: 49k/1.0m");
});
@@ -274,7 +274,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 1_048_576 }],
@@ -292,9 +292,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
contextTokens: 1_048_576,
@@ -307,7 +307,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/123k");
expect(normalized).not.toContain("Context: 49k/1.0m");
expect(normalized).not.toContain("Context: 49k/200k");
@@ -319,7 +319,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 1_048_576 }],
@@ -336,9 +336,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
contextTokens: 123_456,
@@ -351,7 +351,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/123k");
expect(normalized).not.toContain("Context: 49k/1.0m");
expect(normalized).not.toContain("Context: 49k/200k");
@@ -363,7 +363,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 1_048_576 }],
@@ -382,9 +382,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
},
@@ -396,7 +396,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/120k");
expect(normalized).not.toContain("Context: 49k/200k");
expect(normalized).not.toContain("Context: 49k/1.0m");
@@ -408,7 +408,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 128_000 }],
@@ -427,9 +427,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
},
@@ -441,7 +441,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/128k");
expect(normalized).not.toContain("Context: 49k/200k");
});
@@ -452,7 +452,7 @@ describe("buildStatusMessage", () => {
models: {
providers: {
"minimax-portal": {
models: [{ id: "MiniMax-M2.5", contextWindow: 200_000 }],
models: [{ id: "MiniMax-M2.7", contextWindow: 200_000 }],
},
xiaomi: {
models: [{ id: "mimo-v2-flash", contextWindow: 1_048_576 }],
@@ -471,9 +471,9 @@ describe("buildStatusMessage", () => {
providerOverride: "xiaomi",
modelOverride: "mimo-v2-flash",
modelProvider: "minimax-portal",
model: "MiniMax-M2.5",
model: "MiniMax-M2.7",
fallbackNoticeSelectedModel: "xiaomi/mimo-v2-flash",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.5",
fallbackNoticeActiveModel: "minimax-portal/MiniMax-M2.7",
fallbackNoticeReason: "model not allowed",
totalTokens: 49_000,
},
@@ -485,7 +485,7 @@ describe("buildStatusMessage", () => {
});
const normalized = normalizeTestText(text);
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.5");
expect(normalized).toContain("Fallback: minimax-portal/MiniMax-M2.7");
expect(normalized).toContain("Context: 49k/200k");
expect(normalized).not.toContain("Context: 49k/1.0m");
});

View File

@@ -551,8 +551,8 @@ describe("primary model defaults", () => {
it("sets correct primary model", () => {
const configCases = [
{
getConfig: () => applyMinimaxApiConfig({}, "MiniMax-M2.5-highspeed"),
primaryModel: "minimax/MiniMax-M2.5-highspeed",
getConfig: () => applyMinimaxApiConfig({}, "MiniMax-M2.7-highspeed"),
primaryModel: "minimax/MiniMax-M2.7-highspeed",
},
{
getConfig: () => applyZaiConfig({}, { modelId: "glm-5" }),

View File

@@ -457,7 +457,7 @@ describe("provider discovery contract", () => {
apiKey: "minimax-key",
models: expect.arrayContaining([
expect.objectContaining({ id: "MiniMax-M2.7" }),
expect.objectContaining({ id: "MiniMax-VL-01" }),
expect.objectContaining({ id: "MiniMax-M2.7-highspeed" }),
]),
},
});

View File

@@ -3,36 +3,18 @@ import { matchesExactOrPrefix } from "./provider-model-helpers.js";
export const MINIMAX_DEFAULT_MODEL_ID = "MiniMax-M2.7";
export const MINIMAX_DEFAULT_MODEL_REF = `minimax/${MINIMAX_DEFAULT_MODEL_ID}`;
export const MINIMAX_TEXT_MODEL_ORDER = [
"MiniMax-M2",
"MiniMax-M2.1",
"MiniMax-M2.1-highspeed",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
] as const;
export const MINIMAX_TEXT_MODEL_ORDER = ["MiniMax-M2.7", "MiniMax-M2.7-highspeed"] as const;
export const MINIMAX_TEXT_MODEL_CATALOG = {
"MiniMax-M2": { name: "MiniMax M2", reasoning: true },
"MiniMax-M2.1": { name: "MiniMax M2.1", reasoning: true },
"MiniMax-M2.1-highspeed": { name: "MiniMax M2.1 Highspeed", reasoning: true },
"MiniMax-M2.7": { name: "MiniMax M2.7", reasoning: true },
"MiniMax-M2.7-highspeed": { name: "MiniMax M2.7 Highspeed", reasoning: true },
"MiniMax-M2.5": { name: "MiniMax M2.5", reasoning: true },
"MiniMax-M2.5-highspeed": { name: "MiniMax M2.5 Highspeed", reasoning: true },
} as const;
export const MINIMAX_TEXT_MODEL_REFS = MINIMAX_TEXT_MODEL_ORDER.map(
(modelId) => `minimax/${modelId}`,
);
export const MINIMAX_MODERN_MODEL_MATCHERS = [
"minimax-m2",
"minimax-m2.1",
"minimax-m2.5",
"minimax-m2.7",
] as const;
export const MINIMAX_MODERN_MODEL_MATCHERS = ["minimax-m2.7"] as const;
export function isMiniMaxModernModelId(modelId: string): boolean {
return matchesExactOrPrefix(modelId, MINIMAX_MODERN_MODEL_MATCHERS);