Add test

src/api/providers/__tests__/openai.test.ts

@@ -0,0 +1,192 @@
+import { OpenAiHandler } from '../openai'
+import { ApiHandlerOptions, openAiModelInfoSaneDefaults } from '../../../shared/api'
+import OpenAI, { AzureOpenAI } from 'openai'
+import { Anthropic } from '@anthropic-ai/sdk'
+
+// Mock dependencies
+jest.mock('openai')
+
+describe('OpenAiHandler', () => {
+    const mockOptions: ApiHandlerOptions = {
+        openAiApiKey: 'test-key',
+        openAiModelId: 'gpt-4',
+        openAiStreamingEnabled: true,
+        openAiBaseUrl: 'https://api.openai.com/v1'
+    }
+
+    beforeEach(() => {
+        jest.clearAllMocks()
+    })
+
+    test('constructor initializes with correct options', () => {
+        const handler = new OpenAiHandler(mockOptions)
+        expect(handler).toBeInstanceOf(OpenAiHandler)
+        expect(OpenAI).toHaveBeenCalledWith({
+            apiKey: mockOptions.openAiApiKey,
+            baseURL: mockOptions.openAiBaseUrl
+        })
+    })
+
+    test('constructor initializes Azure client when Azure URL is provided', () => {
+        const azureOptions: ApiHandlerOptions = {
+            ...mockOptions,
+            openAiBaseUrl: 'https://example.azure.com',
+            azureApiVersion: '2023-05-15'
+        }
+        const handler = new OpenAiHandler(azureOptions)
+        expect(handler).toBeInstanceOf(OpenAiHandler)
+        expect(AzureOpenAI).toHaveBeenCalledWith({
+            baseURL: azureOptions.openAiBaseUrl,
+            apiKey: azureOptions.openAiApiKey,
+            apiVersion: azureOptions.azureApiVersion
+        })
+    })
+
+    test('getModel returns correct model info', () => {
+        const handler = new OpenAiHandler(mockOptions)
+        const result = handler.getModel()
+        
+        expect(result).toEqual({
+            id: mockOptions.openAiModelId,
+            info: openAiModelInfoSaneDefaults
+        })
+    })
+
+    test('createMessage handles streaming correctly when enabled', async () => {
+        const handler = new OpenAiHandler({
+            ...mockOptions,
+            openAiStreamingEnabled: true,
+            includeMaxTokens: true
+        })
+        
+        const mockStream = {
+            async *[Symbol.asyncIterator]() {
+                yield {
+                    choices: [{
+                        delta: {
+                            content: 'test response'
+                        }
+                    }],
+                    usage: {
+                        prompt_tokens: 10,
+                        completion_tokens: 5
+                    }
+                }
+            }
+        }
+
+        const mockCreate = jest.fn().mockResolvedValue(mockStream)
+        ;(OpenAI as jest.MockedClass<typeof OpenAI>).prototype.chat = {
+            completions: { create: mockCreate }
+        } as any
+
+        const systemPrompt = 'test system prompt'
+        const messages: Anthropic.Messages.MessageParam[] = [
+            { role: 'user', content: 'test message' }
+        ]
+
+        const generator = handler.createMessage(systemPrompt, messages)
+        const chunks = []
+        
+        for await (const chunk of generator) {
+            chunks.push(chunk)
+        }
+
+        expect(chunks).toEqual([
+            {
+                type: 'text',
+                text: 'test response'
+            },
+            {
+                type: 'usage',
+                inputTokens: 10,
+                outputTokens: 5
+            }
+        ])
+
+        expect(mockCreate).toHaveBeenCalledWith({
+            model: mockOptions.openAiModelId,
+            messages: [
+                { role: 'system', content: systemPrompt },
+                { role: 'user', content: 'test message' }
+            ],
+            temperature: 0,
+            stream: true,
+            stream_options: { include_usage: true },
+            max_tokens: openAiModelInfoSaneDefaults.maxTokens
+        })
+    })
+
+    test('createMessage handles non-streaming correctly when disabled', async () => {
+        const handler = new OpenAiHandler({
+            ...mockOptions,
+            openAiStreamingEnabled: false
+        })
+        
+        const mockResponse = {
+            choices: [{
+                message: {
+                    content: 'test response'
+                }
+            }],
+            usage: {
+                prompt_tokens: 10,
+                completion_tokens: 5
+            }
+        }
+
+        const mockCreate = jest.fn().mockResolvedValue(mockResponse)
+        ;(OpenAI as jest.MockedClass<typeof OpenAI>).prototype.chat = {
+            completions: { create: mockCreate }
+        } as any
+
+        const systemPrompt = 'test system prompt'
+        const messages: Anthropic.Messages.MessageParam[] = [
+            { role: 'user', content: 'test message' }
+        ]
+
+        const generator = handler.createMessage(systemPrompt, messages)
+        const chunks = []
+        
+        for await (const chunk of generator) {
+            chunks.push(chunk)
+        }
+
+        expect(chunks).toEqual([
+            {
+                type: 'text',
+                text: 'test response'
+            },
+            {
+                type: 'usage',
+                inputTokens: 10,
+                outputTokens: 5
+            }
+        ])
+
+        expect(mockCreate).toHaveBeenCalledWith({
+            model: mockOptions.openAiModelId,
+            messages: [
+                { role: 'user', content: systemPrompt },
+                { role: 'user', content: 'test message' }
+            ]
+        })
+    })
+
+    test('createMessage handles API errors', async () => {
+        const handler = new OpenAiHandler(mockOptions)
+        const mockStream = {
+            async *[Symbol.asyncIterator]() {
+                throw new Error('API Error')
+            }
+        }
+
+        const mockCreate = jest.fn().mockResolvedValue(mockStream)
+        ;(OpenAI as jest.MockedClass<typeof OpenAI>).prototype.chat = {
+            completions: { create: mockCreate }
+        } as any
+
+        const generator = handler.createMessage('test', [])
+        await expect(generator.next()).rejects.toThrow('API Error')
+    })
+})