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| 1 | +// npx vitest run src/api/providers/__tests__/abliteration.spec.ts |
| 2 | + |
| 3 | +import { Anthropic } from "@anthropic-ai/sdk" |
| 4 | +import OpenAI from "openai" |
| 5 | + |
| 6 | +import { abliterationDefaultModelId, abliterationModels } from "@roo-code/types" |
| 7 | + |
| 8 | +import { AbliterationHandler } from "../abliteration" |
| 9 | + |
| 10 | +const mockCreate = vi.fn() |
| 11 | + |
| 12 | +vi.mock("openai", () => ({ |
| 13 | + default: vi.fn(() => ({ |
| 14 | + chat: { |
| 15 | + completions: { |
| 16 | + create: mockCreate, |
| 17 | + }, |
| 18 | + }, |
| 19 | + })), |
| 20 | +})) |
| 21 | + |
| 22 | +describe("AbliterationHandler", () => { |
| 23 | + let handler: AbliterationHandler |
| 24 | + |
| 25 | + beforeEach(() => { |
| 26 | + vi.clearAllMocks() |
| 27 | + handler = new AbliterationHandler({ abliterationApiKey: "test-abliteration-api-key" }) |
| 28 | + }) |
| 29 | + |
| 30 | + it("should use the correct abliteration.ai base URL", () => { |
| 31 | + new AbliterationHandler({ abliterationApiKey: "test-abliteration-api-key" }) |
| 32 | + expect(OpenAI).toHaveBeenCalledWith(expect.objectContaining({ baseURL: "https://api.abliteration.ai/v1" })) |
| 33 | + }) |
| 34 | + |
| 35 | + it("should use the provided API key", () => { |
| 36 | + const abliterationApiKey = "test-abliteration-api-key" |
| 37 | + new AbliterationHandler({ abliterationApiKey }) |
| 38 | + expect(OpenAI).toHaveBeenCalledWith(expect.objectContaining({ apiKey: abliterationApiKey })) |
| 39 | + }) |
| 40 | + |
| 41 | + it("should throw error when API key is not provided", () => { |
| 42 | + expect(() => new AbliterationHandler({})).toThrow("API key is required") |
| 43 | + }) |
| 44 | + |
| 45 | + it("should return default model when no model is specified", () => { |
| 46 | + const model = handler.getModel() |
| 47 | + expect(model.id).toBe(abliterationDefaultModelId) |
| 48 | + expect(model.info).toEqual(abliterationModels[abliterationDefaultModelId]) |
| 49 | + }) |
| 50 | + |
| 51 | + it("should return specified model when valid model is provided", () => { |
| 52 | + const handlerWithModel = new AbliterationHandler({ |
| 53 | + apiModelId: "abliterated-model", |
| 54 | + abliterationApiKey: "test-abliteration-api-key", |
| 55 | + }) |
| 56 | + const model = handlerWithModel.getModel() |
| 57 | + expect(model.id).toBe("abliterated-model") |
| 58 | + expect(model.info).toEqual(abliterationModels["abliterated-model"]) |
| 59 | + }) |
| 60 | + |
| 61 | + it("completePrompt method should return text from abliteration.ai API", async () => { |
| 62 | + const expectedResponse = "This is a test response from abliteration.ai" |
| 63 | + mockCreate.mockResolvedValueOnce({ choices: [{ message: { content: expectedResponse } }] }) |
| 64 | + const result = await handler.completePrompt("test prompt") |
| 65 | + expect(result).toBe(expectedResponse) |
| 66 | + }) |
| 67 | + |
| 68 | + it("createMessage should yield text content from stream", async () => { |
| 69 | + const testContent = "This is test content from abliteration.ai stream" |
| 70 | + |
| 71 | + mockCreate.mockImplementationOnce(() => { |
| 72 | + return { |
| 73 | + [Symbol.asyncIterator]: () => ({ |
| 74 | + next: vi |
| 75 | + .fn() |
| 76 | + .mockResolvedValueOnce({ |
| 77 | + done: false, |
| 78 | + value: { choices: [{ delta: { content: testContent } }] }, |
| 79 | + }) |
| 80 | + .mockResolvedValueOnce({ done: true }), |
| 81 | + }), |
| 82 | + } |
| 83 | + }) |
| 84 | + |
| 85 | + const stream = handler.createMessage("system prompt", []) |
| 86 | + const firstChunk = await stream.next() |
| 87 | + |
| 88 | + expect(firstChunk.done).toBe(false) |
| 89 | + expect(firstChunk.value).toEqual({ type: "text", text: testContent }) |
| 90 | + }) |
| 91 | + |
| 92 | + it("createMessage should pass correct parameters to abliteration.ai client", async () => { |
| 93 | + const modelInfo = abliterationModels[abliterationDefaultModelId] |
| 94 | + const handlerWithModel = new AbliterationHandler({ |
| 95 | + apiModelId: abliterationDefaultModelId, |
| 96 | + abliterationApiKey: "test-abliteration-api-key", |
| 97 | + }) |
| 98 | + |
| 99 | + mockCreate.mockImplementationOnce(() => { |
| 100 | + return { |
| 101 | + [Symbol.asyncIterator]: () => ({ |
| 102 | + async next() { |
| 103 | + return { done: true } |
| 104 | + }, |
| 105 | + }), |
| 106 | + } |
| 107 | + }) |
| 108 | + |
| 109 | + const systemPrompt = "Test system prompt for abliteration.ai" |
| 110 | + const messages: Anthropic.Messages.MessageParam[] = [ |
| 111 | + { role: "user", content: "Test message for abliteration.ai" }, |
| 112 | + ] |
| 113 | + |
| 114 | + const messageGenerator = handlerWithModel.createMessage(systemPrompt, messages) |
| 115 | + await messageGenerator.next() |
| 116 | + |
| 117 | + expect(mockCreate).toHaveBeenCalledWith( |
| 118 | + expect.objectContaining({ |
| 119 | + model: abliterationDefaultModelId, |
| 120 | + max_tokens: modelInfo.maxTokens, |
| 121 | + temperature: 0, |
| 122 | + messages: expect.arrayContaining([{ role: "system", content: systemPrompt }]), |
| 123 | + stream: true, |
| 124 | + stream_options: { include_usage: true }, |
| 125 | + }), |
| 126 | + undefined, |
| 127 | + ) |
| 128 | + }) |
| 129 | +}) |
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