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minimax.spec.ts
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// npx vitest run src/api/providers/__tests__/minimax.spec.ts
vitest.mock("vscode", () => ({
workspace: {
getConfiguration: vitest.fn().mockReturnValue({
get: vitest.fn().mockReturnValue(600), // Default timeout in seconds
}),
},
}))
import { Anthropic } from "@anthropic-ai/sdk"
import { type MinimaxModelId, minimaxDefaultModelId, minimaxModels } from "@roo-code/types"
import { MiniMaxHandler } from "../minimax"
vitest.mock("@anthropic-ai/sdk", () => {
const mockCreate = vitest.fn()
return {
Anthropic: vitest.fn(() => ({
messages: {
create: mockCreate,
},
})),
}
})
describe("MiniMaxHandler", () => {
let handler: MiniMaxHandler
let mockCreate: any
beforeEach(() => {
vitest.clearAllMocks()
const anthropicInstance = (Anthropic as unknown as any)()
mockCreate = anthropicInstance.messages.create
})
describe("International MiniMax (default)", () => {
beforeEach(() => {
handler = new MiniMaxHandler({
minimaxApiKey: "test-minimax-api-key",
minimaxBaseUrl: "https://api.minimax.io/v1",
})
})
it("should use the correct international MiniMax base URL by default", () => {
new MiniMaxHandler({ minimaxApiKey: "test-minimax-api-key" })
expect(Anthropic).toHaveBeenCalledWith(
expect.objectContaining({
baseURL: "https://api.minimax.io/anthropic",
}),
)
})
it("should convert /v1 endpoint to /anthropic endpoint", () => {
new MiniMaxHandler({
minimaxApiKey: "test-minimax-api-key",
minimaxBaseUrl: "https://api.minimax.io/v1",
})
expect(Anthropic).toHaveBeenCalledWith(
expect.objectContaining({
baseURL: "https://api.minimax.io/anthropic",
}),
)
})
it("should use the provided API key", () => {
const minimaxApiKey = "test-minimax-api-key"
new MiniMaxHandler({ minimaxApiKey })
expect(Anthropic).toHaveBeenCalledWith(expect.objectContaining({ apiKey: minimaxApiKey }))
})
it("should return default model when no model is specified", () => {
const model = handler.getModel()
expect(model.id).toBe(minimaxDefaultModelId)
expect(model.info).toEqual(minimaxModels[minimaxDefaultModelId])
})
it("should return specified model when valid model is provided", () => {
const testModelId: MinimaxModelId = "MiniMax-M2"
const handlerWithModel = new MiniMaxHandler({
apiModelId: testModelId,
minimaxApiKey: "test-minimax-api-key",
})
const model = handlerWithModel.getModel()
expect(model.id).toBe(testModelId)
expect(model.info).toEqual(minimaxModels[testModelId])
})
it("should return MiniMax-M2.7 model with correct configuration", () => {
const testModelId: MinimaxModelId = "MiniMax-M2.7"
const handlerWithModel = new MiniMaxHandler({
apiModelId: testModelId,
minimaxApiKey: "test-minimax-api-key",
})
const model = handlerWithModel.getModel()
expect(model.id).toBe(testModelId)
expect(model.info).toEqual(minimaxModels[testModelId])
expect(model.info.contextWindow).toBe(204_800)
expect(model.info.maxTokens).toBe(16_384)
expect(model.info.supportsPromptCache).toBe(true)
expect(model.info.cacheWritesPrice).toBe(0.375)
expect(model.info.cacheReadsPrice).toBe(0.03)
})
it("should return MiniMax-M2.5 model with correct configuration", () => {
const testModelId: MinimaxModelId = "MiniMax-M2.5"
const handlerWithModel = new MiniMaxHandler({
apiModelId: testModelId,
minimaxApiKey: "test-minimax-api-key",
})
const model = handlerWithModel.getModel()
expect(model.id).toBe(testModelId)
expect(model.info).toEqual(minimaxModels[testModelId])
expect(model.info.contextWindow).toBe(204_800)
expect(model.info.maxTokens).toBe(16_384)
expect(model.info.supportsPromptCache).toBe(true)
expect(model.info.cacheWritesPrice).toBe(0.375)
expect(model.info.cacheReadsPrice).toBe(0.03)
})
it("should return MiniMax-M2 model with correct configuration", () => {
const testModelId: MinimaxModelId = "MiniMax-M2"
const handlerWithModel = new MiniMaxHandler({
apiModelId: testModelId,
minimaxApiKey: "test-minimax-api-key",
})
const model = handlerWithModel.getModel()
expect(model.id).toBe(testModelId)
expect(model.info).toEqual(minimaxModels[testModelId])
expect(model.info.contextWindow).toBe(192_000)
expect(model.info.maxTokens).toBe(16_384)
expect(model.info.supportsPromptCache).toBe(true)
expect(model.info.cacheWritesPrice).toBe(0.375)
expect(model.info.cacheReadsPrice).toBe(0.03)
})
it("should return MiniMax-M2-Stable model with correct configuration", () => {
const testModelId: MinimaxModelId = "MiniMax-M2-Stable"
const handlerWithModel = new MiniMaxHandler({
apiModelId: testModelId,
minimaxApiKey: "test-minimax-api-key",
})
const model = handlerWithModel.getModel()
expect(model.id).toBe(testModelId)
expect(model.info).toEqual(minimaxModels[testModelId])
expect(model.info.contextWindow).toBe(192_000)
expect(model.info.maxTokens).toBe(16_384)
expect(model.info.supportsPromptCache).toBe(true)
expect(model.info.cacheWritesPrice).toBe(0.375)
expect(model.info.cacheReadsPrice).toBe(0.03)
})
})
describe("China MiniMax", () => {
beforeEach(() => {
handler = new MiniMaxHandler({
minimaxApiKey: "test-minimax-api-key",
minimaxBaseUrl: "https://api.minimaxi.com/v1",
})
})
it("should use the correct China MiniMax base URL", () => {
new MiniMaxHandler({
minimaxApiKey: "test-minimax-api-key",
minimaxBaseUrl: "https://api.minimaxi.com/v1",
})
expect(Anthropic).toHaveBeenCalledWith(
expect.objectContaining({ baseURL: "https://api.minimaxi.com/anthropic" }),
)
})
it("should convert China /v1 endpoint to /anthropic endpoint", () => {
new MiniMaxHandler({
minimaxApiKey: "test-minimax-api-key",
minimaxBaseUrl: "https://api.minimaxi.com/v1",
})
expect(Anthropic).toHaveBeenCalledWith(
expect.objectContaining({ baseURL: "https://api.minimaxi.com/anthropic" }),
)
})
it("should use the provided API key for China", () => {
const minimaxApiKey = "test-minimax-api-key"
new MiniMaxHandler({ minimaxApiKey, minimaxBaseUrl: "https://api.minimaxi.com/v1" })
expect(Anthropic).toHaveBeenCalledWith(expect.objectContaining({ apiKey: minimaxApiKey }))
})
it("should return default model when no model is specified", () => {
const model = handler.getModel()
expect(model.id).toBe(minimaxDefaultModelId)
expect(model.info).toEqual(minimaxModels[minimaxDefaultModelId])
})
})
describe("Default behavior", () => {
it("should default to international base URL when none is specified", () => {
const handlerDefault = new MiniMaxHandler({ minimaxApiKey: "test-minimax-api-key" })
expect(Anthropic).toHaveBeenCalledWith(
expect.objectContaining({
baseURL: "https://api.minimax.io/anthropic",
}),
)
const model = handlerDefault.getModel()
expect(model.id).toBe(minimaxDefaultModelId)
expect(model.info).toEqual(minimaxModels[minimaxDefaultModelId])
})
it("should default to MiniMax-M2.7 model", () => {
const handlerDefault = new MiniMaxHandler({ minimaxApiKey: "test-minimax-api-key" })
const model = handlerDefault.getModel()
expect(model.id).toBe("MiniMax-M2.7")
})
})
describe("API Methods", () => {
beforeEach(() => {
handler = new MiniMaxHandler({ minimaxApiKey: "test-minimax-api-key" })
})
it("completePrompt method should return text from MiniMax API", async () => {
const expectedResponse = "This is a test response from MiniMax"
mockCreate.mockResolvedValueOnce({
content: [{ type: "text", text: expectedResponse }],
})
const result = await handler.completePrompt("test prompt")
expect(result).toBe(expectedResponse)
})
it("should handle errors in completePrompt", async () => {
const errorMessage = "MiniMax API error"
mockCreate.mockRejectedValueOnce(new Error(errorMessage))
await expect(handler.completePrompt("test prompt")).rejects.toThrow()
})
it("createMessage should yield text content from stream", async () => {
const testContent = "This is test content from MiniMax stream"
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
next: vitest
.fn()
.mockResolvedValueOnce({
done: false,
value: {
type: "content_block_start",
index: 0,
content_block: { type: "text", text: testContent },
},
})
.mockResolvedValueOnce({ done: true }),
}),
})
const stream = handler.createMessage("system prompt", [])
const firstChunk = await stream.next()
expect(firstChunk.done).toBe(false)
expect(firstChunk.value).toEqual({ type: "text", text: testContent })
})
it("createMessage should yield usage data from stream", async () => {
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
next: vitest
.fn()
.mockResolvedValueOnce({
done: false,
value: {
type: "message_start",
message: {
usage: {
input_tokens: 10,
output_tokens: 20,
},
},
},
})
.mockResolvedValueOnce({ done: true }),
}),
})
const stream = handler.createMessage("system prompt", [])
const firstChunk = await stream.next()
expect(firstChunk.done).toBe(false)
expect(firstChunk.value).toEqual({ type: "usage", inputTokens: 10, outputTokens: 20 })
})
it("createMessage should pass correct parameters to MiniMax client", async () => {
const modelId: MinimaxModelId = "MiniMax-M2"
const modelInfo = minimaxModels[modelId]
const handlerWithModel = new MiniMaxHandler({
apiModelId: modelId,
minimaxApiKey: "test-minimax-api-key",
})
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
async next() {
return { done: true }
},
}),
})
const systemPrompt = "Test system prompt for MiniMax"
const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Test message for MiniMax" }]
const messageGenerator = handlerWithModel.createMessage(systemPrompt, messages)
await messageGenerator.next()
expect(mockCreate).toHaveBeenCalledWith(
expect.objectContaining({
model: modelId,
max_tokens: Math.min(modelInfo.maxTokens, Math.ceil(modelInfo.contextWindow * 0.2)),
temperature: 1,
system: expect.any(Array),
messages: expect.any(Array),
stream: true,
}),
)
})
it("should use temperature 1 by default", async () => {
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
async next() {
return { done: true }
},
}),
})
const messageGenerator = handler.createMessage("test", [])
await messageGenerator.next()
expect(mockCreate).toHaveBeenCalledWith(
expect.objectContaining({
temperature: 1,
}),
)
})
it("should handle thinking blocks in stream", async () => {
const thinkingContent = "Let me think about this..."
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
next: vitest
.fn()
.mockResolvedValueOnce({
done: false,
value: {
type: "content_block_start",
index: 0,
content_block: { type: "thinking", thinking: thinkingContent },
},
})
.mockResolvedValueOnce({ done: true }),
}),
})
const stream = handler.createMessage("system prompt", [])
const firstChunk = await stream.next()
expect(firstChunk.done).toBe(false)
expect(firstChunk.value).toEqual({ type: "reasoning", text: thinkingContent })
})
it("should handle tool calls in stream", async () => {
mockCreate.mockResolvedValueOnce({
[Symbol.asyncIterator]: () => ({
next: vitest
.fn()
.mockResolvedValueOnce({
done: false,
value: {
type: "content_block_start",
index: 0,
content_block: {
type: "tool_use",
id: "tool-123",
name: "get_weather",
input: { city: "London" },
},
},
})
.mockResolvedValueOnce({
done: false,
value: {
type: "content_block_stop",
index: 0,
},
})
.mockResolvedValueOnce({ done: true }),
}),
})
const stream = handler.createMessage("system prompt", [])
const firstChunk = await stream.next()
expect(firstChunk.done).toBe(false)
// Provider now yields tool_call_partial chunks, NativeToolCallParser handles reassembly
expect(firstChunk.value).toEqual({
type: "tool_call_partial",
index: 0,
id: "tool-123",
name: "get_weather",
arguments: undefined,
})
})
})
describe("Model Configuration", () => {
it("should correctly configure MiniMax-M2.7 model properties", () => {
const model = minimaxModels["MiniMax-M2.7"]
expect(model.maxTokens).toBe(16_384)
expect(model.contextWindow).toBe(204_800)
expect(model.supportsImages).toBe(false)
expect(model.supportsPromptCache).toBe(true)
expect(model.inputPrice).toBe(0.3)
expect(model.outputPrice).toBe(1.2)
expect(model.cacheWritesPrice).toBe(0.375)
expect(model.cacheReadsPrice).toBe(0.03)
})
it("should correctly configure MiniMax-M2 model properties", () => {
const model = minimaxModels["MiniMax-M2"]
expect(model.maxTokens).toBe(16_384)
expect(model.contextWindow).toBe(192_000)
expect(model.supportsImages).toBe(false)
expect(model.supportsPromptCache).toBe(true)
expect(model.inputPrice).toBe(0.3)
expect(model.outputPrice).toBe(1.2)
expect(model.cacheWritesPrice).toBe(0.375)
expect(model.cacheReadsPrice).toBe(0.03)
})
it("should correctly configure MiniMax-M2-Stable model properties", () => {
const model = minimaxModels["MiniMax-M2-Stable"]
expect(model.maxTokens).toBe(16_384)
expect(model.contextWindow).toBe(192_000)
expect(model.supportsImages).toBe(false)
expect(model.supportsPromptCache).toBe(true)
expect(model.inputPrice).toBe(0.3)
expect(model.outputPrice).toBe(1.2)
expect(model.cacheWritesPrice).toBe(0.375)
expect(model.cacheReadsPrice).toBe(0.03)
})
})
})