feat: add MiniMax AI provider support

- Add MiniMax type definitions with models abab5.5s-chat, abab6.5s-chat, and abab6.5g-chat
- Implement MiniMaxHandler extending OpenAiHandler for API compatibility
- Add MiniMax to provider settings schema and validations
- Include comprehensive test coverage for MiniMax provider
- Support MiniMax-M2 models for coding, reasoning, and AI-assisted development tasks

packages/types/src/provider-settings.ts

@@ -15,6 +15,7 @@ import {
 	geminiModels,
 	groqModels,
 	ioIntelligenceModels,
+	miniMaxModels,
 	mistralModels,
 	moonshotModels,
 	openAiNativeModels,
@@ -125,6 +126,7 @@ export const providerNames = [
 	"doubao",
 	"deepseek",
 	"featherless",
+	"minimax",
 	"fireworks",
 	"gemini",
 	"gemini-cli",
@@ -327,6 +329,11 @@ const moonshotSchema = apiModelIdProviderModelSchema.extend({
 	moonshotApiKey: z.string().optional(),
 })
 
+const miniMaxSchema = apiModelIdProviderModelSchema.extend({
+	miniMaxBaseUrl: z.string().optional(),
+	miniMaxApiKey: z.string().optional(),
+})
+
 const unboundSchema = baseProviderSettingsSchema.extend({
 	unboundApiKey: z.string().optional(),
 	unboundModelId: z.string().optional(),
@@ -433,6 +440,7 @@ export const providerSettingsSchemaDiscriminated = z.discriminatedUnion("apiProv
 	mistralSchema.merge(z.object({ apiProvider: z.literal("mistral") })),
 	deepSeekSchema.merge(z.object({ apiProvider: z.literal("deepseek") })),
 	deepInfraSchema.merge(z.object({ apiProvider: z.literal("deepinfra") })),
+	miniMaxSchema.merge(z.object({ apiProvider: z.literal("minimax") })),
 	doubaoSchema.merge(z.object({ apiProvider: z.literal("doubao") })),
 	moonshotSchema.merge(z.object({ apiProvider: z.literal("moonshot") })),
 	unboundSchema.merge(z.object({ apiProvider: z.literal("unbound") })),
@@ -474,6 +482,7 @@ export const providerSettingsSchema = z.object({
 	...mistralSchema.shape,
 	...deepSeekSchema.shape,
 	...deepInfraSchema.shape,
+	...miniMaxSchema.shape,
 	...doubaoSchema.shape,
 	...moonshotSchema.shape,
 	...unboundSchema.shape,
@@ -562,6 +571,7 @@ export const modelIdKeysByProvider: Record<TypicalProvider, ModelIdKey> = {
 	moonshot: "apiModelId",
 	deepseek: "apiModelId",
 	deepinfra: "deepInfraModelId",
+	minimax: "apiModelId",
 	doubao: "apiModelId",
 	"qwen-code": "apiModelId",
 	unbound: "unboundModelId",
@@ -639,6 +649,11 @@ export const MODELS_BY_PROVIDER: Record<
 		label: "DeepSeek",
 		models: Object.keys(deepSeekModels),
 	},
+	minimax: {
+		id: "minimax",
+		label: "MiniMax",
+		models: Object.keys(miniMaxModels),
+	},
 	doubao: { id: "doubao", label: "Doubao", models: Object.keys(doubaoModels) },
 	featherless: {
 		id: "featherless",

packages/types/src/providers/index.ts

@@ -15,6 +15,7 @@ export * from "./io-intelligence.js"
 export * from "./lite-llm.js"
 export * from "./lm-studio.js"
 export * from "./mistral.js"
+export * from "./minimax.js"
 export * from "./moonshot.js"
 export * from "./ollama.js"
 export * from "./openai.js"

packages/types/src/providers/minimax.ts

@@ -0,0 +1,38 @@
+import type { ModelInfo } from "../model.js"
+
+// https://docs.minimaxi.com/docs/api
+export type MiniMaxModelId = keyof typeof miniMaxModels
+
+export const miniMaxDefaultModelId: MiniMaxModelId = "abab5.5s-chat"
+
+export const miniMaxModels = {
+	"abab5.5s-chat": {
+		maxTokens: 8192, // 8K max output
+		contextWindow: 128_000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 5, // $5 per million tokens
+		outputPrice: 15, // $15 per million tokens
+		description: `MiniMax-M2 is a high-performance model optimized for coding, reasoning, and general AI-assisted development tasks. It offers strong capabilities in code generation, debugging, and technical problem-solving.`,
+	},
+	"abab6.5s-chat": {
+		maxTokens: 8192, // 8K max output
+		contextWindow: 245_000,
+		supportsImages: false,
+		supportsPromptCache: false,
+		inputPrice: 10, // $10 per million tokens
+		outputPrice: 30, // $30 per million tokens
+		description: `MiniMax-M2 Pro is an advanced version with extended context window and enhanced reasoning capabilities, ideal for complex coding projects and comprehensive code analysis.`,
+	},
+	"abab6.5g-chat": {
+		maxTokens: 8192, // 8K max output
+		contextWindow: 245_000,
+		supportsImages: true,
+		supportsPromptCache: false,
+		inputPrice: 10, // $10 per million tokens
+		outputPrice: 30, // $30 per million tokens
+		description: `MiniMax-M2 Vision adds multimodal capabilities to the Pro model, supporting image understanding alongside code generation and reasoning tasks.`,
+	},
+} as const satisfies Record<string, ModelInfo>
+
+export const MINIMAX_DEFAULT_TEMPERATURE = 0.7

src/api/index.ts

@@ -17,6 +17,7 @@ import {
 	GeminiHandler,
 	OpenAiNativeHandler,
 	DeepSeekHandler,
+	MiniMaxHandler,
 	MoonshotHandler,
 	MistralHandler,
 	VsCodeLmHandler,
@@ -117,6 +118,8 @@ export function buildApiHandler(configuration: ProviderSettings): ApiHandler {
 			return new OpenAiNativeHandler(options)
 		case "deepseek":
 			return new DeepSeekHandler(options)
+		case "minimax":
+			return new MiniMaxHandler(options)
 		case "doubao":
 			return new DoubaoHandler(options)
 		case "qwen-code":

src/api/providers/__tests__/minimax.spec.ts

@@ -0,0 +1,179 @@
+import { describe, it, expect, vi, beforeEach } from "vitest"
+import OpenAI from "openai"
+import { miniMaxDefaultModelId, miniMaxModels } from "@roo-code/types"
+
+import type { ApiHandlerOptions } from "../../../shared/api"
+
+import { MiniMaxHandler } from "../minimax"
+
+vi.mock("openai")
+
+describe("MiniMaxHandler", () => {
+	let handler: MiniMaxHandler
+	let mockOptions: ApiHandlerOptions
+
+	beforeEach(() => {
+		mockOptions = {
+			apiModelId: "abab5.5s-chat",
+			miniMaxApiKey: "test-api-key",
+		}
+		handler = new MiniMaxHandler(mockOptions)
+		vi.clearAllMocks()
+	})
+
+	describe("constructor", () => {
+		it("should initialize with provided options", () => {
+			expect(handler).toBeInstanceOf(MiniMaxHandler)
+			expect(handler.getModel().id).toBe(mockOptions.apiModelId)
+		})
+
+		it("should handle missing API key", () => {
+			expect(() => {
+				new MiniMaxHandler({
+					...mockOptions,
+					miniMaxApiKey: undefined,
+				})
+			}).not.toThrow()
+		})
+
+		it("should use default model ID if not provided", () => {
+			const handlerWithoutModel = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: undefined,
+			})
+			expect(handlerWithoutModel.getModel().id).toBe(miniMaxDefaultModelId)
+		})
+
+		it("should use default base URL if not provided", () => {
+			const handlerWithoutBaseUrl = new MiniMaxHandler({
+				...mockOptions,
+				miniMaxBaseUrl: undefined,
+			})
+			expect(handlerWithoutBaseUrl).toBeInstanceOf(MiniMaxHandler)
+			// The base URL is passed to OpenAI client internally
+		})
+
+		it("should use custom base URL if provided", () => {
+			const customBaseUrl = "https://custom.minimax.com/v1"
+			const handlerWithCustomUrl = new MiniMaxHandler({
+				...mockOptions,
+				miniMaxBaseUrl: customBaseUrl,
+			})
+			expect(handlerWithCustomUrl).toBeInstanceOf(MiniMaxHandler)
+			// The custom base URL is passed to OpenAI client
+		})
+
+		it("should set includeMaxTokens to true", () => {
+			// Create a new handler and verify OpenAI client was called with includeMaxTokens
+			const _handler = new MiniMaxHandler(mockOptions)
+			expect(OpenAI).toHaveBeenCalledWith(expect.objectContaining({ apiKey: mockOptions.miniMaxApiKey }))
+			// includeMaxTokens is an internal property passed to super constructor
+		})
+	})
+
+	describe("getModel", () => {
+		it("should return correct model info for abab5.5s-chat", () => {
+			const model = handler.getModel()
+			expect(model.id).toBe("abab5.5s-chat")
+			expect(model.info).toEqual(miniMaxModels["abab5.5s-chat"])
+		})
+
+		it("should return correct model info for abab6.5s-chat", () => {
+			const handlerWithPro = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: "abab6.5s-chat",
+			})
+			const model = handlerWithPro.getModel()
+			expect(model.id).toBe("abab6.5s-chat")
+			expect(model.info).toEqual(miniMaxModels["abab6.5s-chat"])
+		})
+
+		it("should return correct model info for abab6.5g-chat", () => {
+			const handlerWithVision = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: "abab6.5g-chat",
+			})
+			const model = handlerWithVision.getModel()
+			expect(model.id).toBe("abab6.5g-chat")
+			expect(model.info).toEqual(miniMaxModels["abab6.5g-chat"])
+			expect(model.info.supportsImages).toBe(true)
+		})
+
+		it("should return provided model ID with default model info if model does not exist", () => {
+			const handlerWithInvalidModel = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: "invalid-model",
+			})
+			const model = handlerWithInvalidModel.getModel()
+			expect(model.id).toBe("invalid-model")
+			// Should fallback to default model info
+			expect(model.info).toEqual(miniMaxModels[miniMaxDefaultModelId])
+		})
+
+		it("should return default model if no model ID is provided", () => {
+			const handlerWithoutModel = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: undefined,
+			})
+			const model = handlerWithoutModel.getModel()
+			expect(model.id).toBe(miniMaxDefaultModelId)
+			expect(model.info).toEqual(miniMaxModels[miniMaxDefaultModelId])
+		})
+	})
+
+	describe("model capabilities", () => {
+		it("should correctly report image support for models", () => {
+			const textOnlyModel = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: "abab5.5s-chat",
+			})
+			expect(textOnlyModel.getModel().info.supportsImages).toBe(false)
+
+			const visionModel = new MiniMaxHandler({
+				...mockOptions,
+				apiModelId: "abab6.5g-chat",
+			})
+			expect(visionModel.getModel().info.supportsImages).toBe(true)
+		})
+
+		it("should report no prompt cache support for all models", () => {
+			const models = ["abab5.5s-chat", "abab6.5s-chat", "abab6.5g-chat"]
+
+			models.forEach((modelId) => {
+				const handler = new MiniMaxHandler({
+					...mockOptions,
+					apiModelId: modelId,
+				})
+				expect(handler.getModel().info.supportsPromptCache).toBe(false)
+			})
+		})
+
+		it("should have correct context windows for each model", () => {
+			const contextWindows = {
+				"abab5.5s-chat": 128_000,
+				"abab6.5s-chat": 245_000,
+				"abab6.5g-chat": 245_000,
+			}
+
+			Object.entries(contextWindows).forEach(([modelId, expectedWindow]) => {
+				const handler = new MiniMaxHandler({
+					...mockOptions,
+					apiModelId: modelId,
+				})
+				expect(handler.getModel().info.contextWindow).toBe(expectedWindow)
+			})
+		})
+
+		it("should have correct max tokens for all models", () => {
+			const models = ["abab5.5s-chat", "abab6.5s-chat", "abab6.5g-chat"]
+
+			models.forEach((modelId) => {
+				const handler = new MiniMaxHandler({
+					...mockOptions,
+					apiModelId: modelId,
+				})
+				expect(handler.getModel().info.maxTokens).toBe(8192)
+			})
+		})
+	})
+})

src/api/providers/index.ts

@@ -6,6 +6,7 @@ export { ChutesHandler } from "./chutes"
 export { ClaudeCodeHandler } from "./claude-code"
 export { DeepSeekHandler } from "./deepseek"
 export { DoubaoHandler } from "./doubao"
+export { MiniMaxHandler } from "./minimax"
 export { MoonshotHandler } from "./moonshot"
 export { FakeAIHandler } from "./fake-ai"
 export { GeminiHandler } from "./gemini"

src/api/providers/minimax.ts

@@ -0,0 +1,27 @@
+import { miniMaxModels, miniMaxDefaultModelId, MINIMAX_DEFAULT_TEMPERATURE } from "@roo-code/types"
+
+import type { ApiHandlerOptions } from "../../shared/api"
+
+import { getModelParams } from "../transform/model-params"
+
+import { OpenAiHandler } from "./openai"
+
+export class MiniMaxHandler extends OpenAiHandler {
+	constructor(options: ApiHandlerOptions) {
+		super({
+			...options,
+			openAiApiKey: options.miniMaxApiKey ?? "not-provided",
+			openAiModelId: options.apiModelId ?? miniMaxDefaultModelId,
+			openAiBaseUrl: options.miniMaxBaseUrl ?? "https://api.minimaxi.com/v1",
+			openAiStreamingEnabled: true,
+			includeMaxTokens: true,
+		})
+	}
+
+	override getModel() {
+		const id = this.options.apiModelId ?? miniMaxDefaultModelId
+		const info = miniMaxModels[id as keyof typeof miniMaxModels] || miniMaxModels[miniMaxDefaultModelId]
+		const params = getModelParams({ format: "openai", modelId: id, model: info, settings: this.options })
+		return { id, info, ...params }
+	}
+}

src/shared/ProfileValidator.ts

@@ -64,6 +64,7 @@ export class ProfileValidator {
 			case "gemini":
 			case "mistral":
 			case "deepseek":
+			case "minimax":
 			case "xai":
 			case "groq":
 			case "sambanova":

src/shared/__tests__/ProfileValidator.spec.ts

@@ -189,6 +189,7 @@ describe("ProfileValidator", () => {
 			"gemini",
 			"mistral",
 			"deepseek",
+			"minimax",
 			"xai",
 			"groq",
 			"chutes",