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325 lines
9.2 KiB
TypeScript
325 lines
9.2 KiB
TypeScript
// Load-bearing: registers shared vi.mock / beforeEach hooks before any
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// module-under-test import below. See ./setup.ts for details.
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import './setup';
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import { describe, expect, it, vi } from 'vitest';
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import * as cache from '../../../../src/cache';
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import logger from '../../../../src/logger';
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import { OpenAiResponsesProvider } from '../../../../src/providers/openai/responses';
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import { getOpenAiMissingApiKeyMessage } from '../shared';
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describe('OpenAiResponsesProvider error handling', () => {
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it('should handle JSON schema validation errors correctly', async () => {
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const mockApiResponse = {
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error: {
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message: 'The response format is invalid. Cannot parse as JSON schema.',
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type: 'invalid_response_format',
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code: 'json_schema_validation_error',
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param: 'response_format',
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},
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status: 400,
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statusText: 'Bad Request',
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};
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 400,
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statusText: 'Bad Request',
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});
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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response_format: {
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type: 'json_schema',
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json_schema: {
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name: 'InvalidSchema',
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strict: true,
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schema: {
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type: 'object',
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properties: {
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result: { type: 'string' },
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},
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// The API will complain about something even though the schema is valid
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required: ['missing_field'],
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additionalProperties: false,
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},
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},
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},
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},
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});
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// Call the API
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const result = await provider.callApi('Test prompt');
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// Assert error is present
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expect(result.error).toContain('json_schema_validation_error');
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});
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it('should handle API errors correctly', async () => {
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// Setup mock for fetchWithCache to return an error
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: {
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error: {
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message: 'Invalid request',
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type: 'invalid_request_error',
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code: 'invalid_api_key',
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},
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},
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cached: false,
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status: 400,
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statusText: 'Bad Request',
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});
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'invalid-key',
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},
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});
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// Call the API
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const result = await provider.callApi('Test prompt');
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// Assertions
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expect(result.error).toContain('API error');
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expect(result.output).toBeUndefined();
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});
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it('should throw error when API key is not set', async () => {
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {},
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});
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vi.spyOn(provider, 'getApiKey').mockReturnValue(undefined);
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await expect(provider.callApi('Test prompt')).rejects.toThrow(getOpenAiMissingApiKeyMessage());
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});
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it('should use custom apiKeyEnvar in missing API key errors', async () => {
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKeyEnvar: 'CUSTOM_RESPONSES_API_KEY',
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},
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});
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vi.spyOn(provider, 'getApiKey').mockReturnValue(undefined);
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await expect(provider.callApi('Test prompt')).rejects.toThrow(
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getOpenAiMissingApiKeyMessage('CUSTOM_RESPONSES_API_KEY'),
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);
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});
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it('should handle error in API response data correctly', async () => {
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const mockApiResponse = {
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error: {
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message: 'Content policy violation',
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type: 'content_policy_violation',
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code: 'content_filter',
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},
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};
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 400,
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statusText: 'Bad Request',
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});
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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const result = await provider.callApi('Test prompt');
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expect(result.error).toContain('content_policy_violation');
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});
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it('should handle missing output array correctly', async () => {
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const mockApiResponse = {
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id: 'resp_abc123',
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status: 'completed',
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model: 'gpt-4o',
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// No output array
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usage: { input_tokens: 10, output_tokens: 10, total_tokens: 20 },
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};
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// Setup mock for fetchWithCache
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 200,
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statusText: 'OK',
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});
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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// Call the API
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const result = await provider.callApi('Test prompt');
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// Verify error about missing output array
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expect(result.error).toContain('Invalid response format: Missing output array');
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});
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it('should handle successful JSON response payloads correctly', async () => {
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// Mock API response
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const mockApiResponse = {
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id: 'resp_abc123',
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status: 'completed',
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model: 'gpt-4o',
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output: [
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{
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type: 'message',
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role: 'assistant',
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content: [
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{
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type: 'output_text',
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text: 'Test response',
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},
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],
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},
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],
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usage: { input_tokens: 10, output_tokens: 10, total_tokens: 20 },
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};
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 200,
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statusText: 'OK',
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});
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// Ensure we get output without error
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const result = await provider.callApi('Test prompt');
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// Verify the API was called successfully
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expect(cache.fetchWithCache).toHaveBeenCalledWith(
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expect.stringContaining('/responses'),
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expect.anything(),
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expect.anything(),
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'json',
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undefined,
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undefined,
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);
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expect(result.output).toBe('Test response');
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expect(result.error).toBeUndefined();
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});
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it('should handle null content in message output', async () => {
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// Mock API response with content that will cause error during processing
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const mockApiResponse = {
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id: 'resp_abc123',
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status: 'completed',
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model: 'gpt-4o',
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output: [
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{
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type: 'message',
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role: 'assistant',
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content: null, // Will cause TypeError when trying to iterate
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},
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],
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usage: { input_tokens: 10, output_tokens: 10, total_tokens: 20 },
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};
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// Setup mock for fetchWithCache
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 200,
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statusText: 'OK',
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});
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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// Call the API - since there's no content, it should return an empty string
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const result = await provider.callApi('Test prompt');
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// Verify we get a result with empty output
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expect(result.output).toBe('');
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expect(result.raw).toEqual(mockApiResponse);
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// Error is not set since this is treated as an empty response, not an error
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expect(result.error).toBeUndefined();
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});
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it('should handle error processing results with non-array output', async () => {
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// Setup mock for fetchWithCache to return data that will trigger a processing error
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const mockApiResponse = {
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id: 'resp_abc123',
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status: 'completed',
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model: 'gpt-4o',
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output: 'not-an-array', // This will cause an error when trying to process as an array
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usage: { input_tokens: 10, output_tokens: 10, total_tokens: 20 },
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};
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vi.mocked(cache.fetchWithCache).mockResolvedValue({
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data: mockApiResponse,
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cached: false,
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status: 200,
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statusText: 'OK',
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});
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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// Call the API
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const result = await provider.callApi('Test prompt');
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// This should have returned an invalid format error
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expect(result.error).toBeTruthy();
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expect(result.error).toContain('Invalid response format');
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expect(result.output).toBeUndefined();
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// The implementation doesn't include raw data when format is invalid
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// So we shouldn't test for it
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});
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// Test for lines 169-174: Testing when fetch throws an error (not just returns error status)
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it('should handle network errors correctly', async () => {
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// Setup mock to throw an error
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vi.mocked(cache.fetchWithCache).mockRejectedValue(new Error('Network error'));
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// Initialize the provider
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const provider = new OpenAiResponsesProvider('gpt-4o', {
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config: {
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apiKey: 'test-key',
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},
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});
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// Call the API
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const result = await provider.callApi('Test prompt');
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// Verify error is handled correctly
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expect(result.error).toContain('API call error:');
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expect(result.error).toContain('Network error');
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// Expect logger to be called with the error
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expect(logger.error).toHaveBeenCalledWith(expect.stringContaining('Network error'));
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});
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});
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