feat: add MiniMax as first-class LLM provider #2322
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,142 @@ | ||
| import { | ||
| BUILTIN_CHAT_MODELS, | ||
| ChatModelProviders, | ||
| ChatModels, | ||
| DEFAULT_SETTINGS, | ||
| ProviderInfo, | ||
| ProviderSettingsKeyMap, | ||
| } from "@/constants"; | ||
| import { providerAdapters, MiniMaxModelResponse } from "@/settings/providerModels"; | ||
|
|
||
| describe("MiniMax provider registration", () => { | ||
| it("should have MINIMAX in ChatModelProviders enum", () => { | ||
| expect(ChatModelProviders.MINIMAX).toBe("minimax"); | ||
| }); | ||
|
|
||
| it("should have MiniMax-M2.7 in ChatModels enum", () => { | ||
| expect(ChatModels.MINIMAX_M2_7).toBe("MiniMax-M2.7"); | ||
| }); | ||
|
|
||
| it("should have MiniMax-M2.5 in ChatModels enum", () => { | ||
| expect(ChatModels.MINIMAX_M2_5).toBe("MiniMax-M2.5"); | ||
| }); | ||
| }); | ||
|
|
||
| describe("MiniMax built-in models", () => { | ||
| const minimaxModels = BUILTIN_CHAT_MODELS.filter( | ||
| (m) => m.provider === ChatModelProviders.MINIMAX | ||
| ); | ||
|
|
||
| it("should include MiniMax models in BUILTIN_CHAT_MODELS", () => { | ||
| expect(minimaxModels.length).toBe(2); | ||
| }); | ||
|
|
||
| it("should have MiniMax-M2.7 model", () => { | ||
| const m27 = minimaxModels.find((m) => m.name === ChatModels.MINIMAX_M2_7); | ||
| expect(m27).toBeDefined(); | ||
| expect(m27!.provider).toBe(ChatModelProviders.MINIMAX); | ||
| expect(m27!.isBuiltIn).toBe(true); | ||
| }); | ||
|
|
||
| it("should have MiniMax-M2.5 model", () => { | ||
| const m25 = minimaxModels.find((m) => m.name === ChatModels.MINIMAX_M2_5); | ||
| expect(m25).toBeDefined(); | ||
| expect(m25!.provider).toBe(ChatModelProviders.MINIMAX); | ||
| expect(m25!.isBuiltIn).toBe(true); | ||
| }); | ||
|
|
||
| it("should have MiniMax models disabled by default", () => { | ||
| minimaxModels.forEach((m) => { | ||
| expect(m.enabled).toBe(false); | ||
| }); | ||
| }); | ||
| }); | ||
|
|
||
| describe("MiniMax ProviderInfo", () => { | ||
| const info = ProviderInfo[ChatModelProviders.MINIMAX]; | ||
|
|
||
| it("should have MiniMax provider info", () => { | ||
| expect(info).toBeDefined(); | ||
| }); | ||
|
|
||
| it("should have correct label", () => { | ||
| expect(info.label).toBe("MiniMax"); | ||
| }); | ||
|
|
||
| it("should have correct API host", () => { | ||
| expect(info.host).toBe("https://api.minimax.io/v1"); | ||
| }); | ||
|
|
||
| it("should have correct curlBaseURL", () => { | ||
| expect(info.curlBaseURL).toBe("https://api.minimax.io/v1"); | ||
| }); | ||
|
|
||
| it("should have key management URL", () => { | ||
| expect(info.keyManagementURL).toBeTruthy(); | ||
| expect(info.keyManagementURL).toContain("minimaxi.com"); | ||
| }); | ||
|
|
||
| it("should have list model URL", () => { | ||
| expect(info.listModelURL).toBe("https://api.minimax.io/v1/models"); | ||
| }); | ||
|
|
||
| it("should have test model set to MiniMax-M2.7", () => { | ||
| expect(info.testModel).toBe(ChatModels.MINIMAX_M2_7); | ||
| }); | ||
| }); | ||
|
|
||
| describe("MiniMax settings key mapping", () => { | ||
| it("should map minimax provider to minimaxApiKey setting", () => { | ||
| expect(ProviderSettingsKeyMap["minimax" as keyof typeof ProviderSettingsKeyMap]).toBe( | ||
| "minimaxApiKey" | ||
| ); | ||
| }); | ||
| }); | ||
|
|
||
| describe("MiniMax default settings", () => { | ||
| it("should have minimaxApiKey in DEFAULT_SETTINGS", () => { | ||
| expect(DEFAULT_SETTINGS).toHaveProperty("minimaxApiKey"); | ||
| expect(DEFAULT_SETTINGS.minimaxApiKey).toBe(""); | ||
| }); | ||
| }); | ||
|
|
||
| describe("MiniMax provider model adapter", () => { | ||
| const adapter = providerAdapters[ChatModelProviders.MINIMAX]; | ||
|
|
||
| it("should have a model adapter for MiniMax", () => { | ||
| expect(adapter).toBeDefined(); | ||
| }); | ||
|
|
||
| it("should parse MiniMax model list response", () => { | ||
| const mockResponse: MiniMaxModelResponse = { | ||
| object: "list", | ||
| data: [ | ||
| { id: "MiniMax-M2.7", object: "model", created: 1710000000, owned_by: "minimax" }, | ||
| { id: "MiniMax-M2.5", object: "model", created: 1700000000, owned_by: "minimax" }, | ||
| ], | ||
| }; | ||
|
|
||
| const models = adapter!(mockResponse); | ||
| expect(models).toHaveLength(2); | ||
| expect(models[0].id).toBe("MiniMax-M2.7"); | ||
| expect(models[0].name).toBe("MiniMax-M2.7"); | ||
| expect(models[0].provider).toBe(ChatModelProviders.MINIMAX); | ||
| expect(models[1].id).toBe("MiniMax-M2.5"); | ||
| }); | ||
|
|
||
| it("should handle empty model list", () => { | ||
| const mockResponse: MiniMaxModelResponse = { | ||
| object: "list", | ||
| data: [], | ||
| }; | ||
|
|
||
| const models = adapter!(mockResponse); | ||
| expect(models).toHaveLength(0); | ||
| }); | ||
|
|
||
| it("should handle missing data field gracefully", () => { | ||
| const mockResponse = { object: "list" } as any; | ||
| const models = adapter!(mockResponse); | ||
| expect(models).toEqual([]); | ||
| }); | ||
| }); |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| /** | ||
| * MiniMax provider integration tests. | ||
| * | ||
| * These tests verify that MiniMax API calls work end-to-end. | ||
| * They require a MINIMAX_API_KEY environment variable to be set. | ||
| * | ||
| * Run with: npm run test:integration -- -t "MiniMax" | ||
| */ | ||
| import * as dotenv from "dotenv"; | ||
|
|
||
| // Add global fetch polyfill for Node.js environments | ||
| import fetch, { Headers, Request, Response } from "node-fetch"; | ||
| if (!globalThis.fetch) { | ||
| globalThis.fetch = fetch as any; | ||
| globalThis.Headers = Headers as any; | ||
| globalThis.Request = Request as any; | ||
| globalThis.Response = Response as any; | ||
| } | ||
|
|
||
| // Add TextDecoderStream polyfill for Node.js environments | ||
| import "web-streams-polyfill/dist/polyfill.js"; | ||
|
|
||
| // Load environment variables from .env.test | ||
| dotenv.config({ path: ".env.test" }); | ||
|
|
||
| import { ChatOpenAI } from "@langchain/openai"; | ||
| import { HumanMessage } from "@langchain/core/messages"; | ||
|
|
||
| const MINIMAX_API_KEY = process.env.MINIMAX_API_KEY; | ||
| const describeIntegration = MINIMAX_API_KEY ? describe : describe.skip; | ||
|
|
||
| describeIntegration("MiniMax integration", () => { | ||
| it("should complete a chat request with MiniMax-M2.7", async () => { | ||
| const chat = new ChatOpenAI({ | ||
| modelName: "MiniMax-M2.7", | ||
| apiKey: MINIMAX_API_KEY!, | ||
| configuration: { | ||
| baseURL: "https://api.minimax.io/v1", | ||
| }, | ||
| maxTokens: 50, | ||
| temperature: 0.7, | ||
| }); | ||
|
|
||
| const response = await chat.invoke([new HumanMessage("Say hello in one sentence.")]); | ||
| expect(response.content).toBeTruthy(); | ||
| expect(typeof response.content).toBe("string"); | ||
| }, 30000); | ||
|
|
||
| it("should complete a chat request with MiniMax-M2.5", async () => { | ||
| const chat = new ChatOpenAI({ | ||
| modelName: "MiniMax-M2.5", | ||
| apiKey: MINIMAX_API_KEY!, | ||
| configuration: { | ||
| baseURL: "https://api.minimax.io/v1", | ||
| }, | ||
| maxTokens: 50, | ||
| temperature: 0.7, | ||
| }); | ||
|
|
||
| const response = await chat.invoke([new HumanMessage("Say hello in one sentence.")]); | ||
| expect(response.content).toBeTruthy(); | ||
| expect(typeof response.content).toBe("string"); | ||
| }, 30000); | ||
|
|
||
| it("should support streaming with MiniMax", async () => { | ||
| const chat = new ChatOpenAI({ | ||
| modelName: "MiniMax-M2.7", | ||
| apiKey: MINIMAX_API_KEY!, | ||
| configuration: { | ||
| baseURL: "https://api.minimax.io/v1", | ||
| }, | ||
| maxTokens: 50, | ||
| temperature: 0.7, | ||
| streaming: true, | ||
| }); | ||
|
|
||
| const chunks: string[] = []; | ||
| const stream = await chat.stream([new HumanMessage("Count from 1 to 3.")]); | ||
|
|
||
| for await (const chunk of stream) { | ||
| if (typeof chunk.content === "string" && chunk.content) { | ||
| chunks.push(chunk.content); | ||
| } | ||
| } | ||
|
|
||
| expect(chunks.length).toBeGreaterThan(0); | ||
| const fullResponse = chunks.join(""); | ||
| expect(fullResponse).toBeTruthy(); | ||
| }, 30000); | ||
| }); |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
MiniMax's OpenAI-compatible API only accepts
temperaturein(0,1], but this provider is wired through the genericChatOpenAIpath that forwards the shared Copilot temperature unchanged viagetTemperatureForModel()/baseConfig. Since the UI currently allows0..2, users who already run withtemperature=0or>1on another provider will start getting request failures as soon as they switch to MiniMax, because nothing here validates or clamps the value for that backend.Useful? React with 👍 / 👎.