LibreChat/api/app/clients/tools/structured/specs/DALLE3-proxy.spec.js
Danny Avila 9a5d7eaa4e
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refactor: Replace tiktoken with ai-tokenizer (#12175)
* chore: Update dependencies by adding ai-tokenizer and removing tiktoken

- Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages.
- Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management.

* refactor: replace js-tiktoken with ai-tokenizer

- Added support for 'claude' encoding in the AgentClient class to improve model compatibility.
- Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency.
- Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types.
- Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality.

* chore: remove tiktoken mocks from DALLE3 tests

- Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates.
- Adjusted related test structures to ensure compatibility with the new tokenizer implementation.

* chore: Add distinct encoding support for Anthropic Claude models

- Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements.
- Updated documentation to clarify the encoding logic for Claude and other models.

* docs: Update return type documentation for getEncoding method in AgentClient

- Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety.

* refactor: Tokenizer class and error handling

- Exported the EncodingName type for broader usage.
- Renamed encodingMap to encodingData for clarity.
- Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure.
- Updated countTokens function documentation to specify the use of 'o200k_base' encoding.

* refactor: Simplify encoding documentation and export type

- Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models.
- Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage.

* test: Update text processing tests for token limits

- Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions.
- Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction.
- Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios.

* refactor: Update Tokenizer imports and exports

- Moved Tokenizer and countTokens exports to the tokenizer module for better organization.
- Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase.
- Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy.

* refactor: Tokenizer initialization and error handling

- Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting.
- Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors.
- Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process.

* test: Enhance tokenizer tests with initialization and encoding checks

- Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup.
- Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'.
- Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00

59 lines
1.9 KiB
JavaScript

const DALLE3 = require('../DALLE3');
const { ProxyAgent } = require('undici');
const processFileURL = jest.fn();
describe('DALLE3 Proxy Configuration', () => {
let originalEnv;
beforeAll(() => {
originalEnv = { ...process.env };
});
beforeEach(() => {
jest.resetModules();
process.env = { ...originalEnv };
});
afterEach(() => {
process.env = originalEnv;
});
it('should configure ProxyAgent in fetchOptions.dispatcher when PROXY env is set', () => {
// Set proxy environment variable
process.env.PROXY = 'http://proxy.example.com:8080';
process.env.DALLE_API_KEY = 'test-api-key';
// Create instance
const dalleWithProxy = new DALLE3({ processFileURL });
// Check that the openai client exists
expect(dalleWithProxy.openai).toBeDefined();
// Check that _options exists and has fetchOptions with a dispatcher
expect(dalleWithProxy.openai._options).toBeDefined();
expect(dalleWithProxy.openai._options.fetchOptions).toBeDefined();
expect(dalleWithProxy.openai._options.fetchOptions.dispatcher).toBeDefined();
expect(dalleWithProxy.openai._options.fetchOptions.dispatcher).toBeInstanceOf(ProxyAgent);
});
it('should not configure ProxyAgent when PROXY env is not set', () => {
// Ensure PROXY is not set
delete process.env.PROXY;
process.env.DALLE_API_KEY = 'test-api-key';
// Create instance
const dalleWithoutProxy = new DALLE3({ processFileURL });
// Check that the openai client exists
expect(dalleWithoutProxy.openai).toBeDefined();
// Check that _options exists but fetchOptions either doesn't exist or doesn't have a dispatcher
expect(dalleWithoutProxy.openai._options).toBeDefined();
// fetchOptions should either not exist or not have a dispatcher
if (dalleWithoutProxy.openai._options.fetchOptions) {
expect(dalleWithoutProxy.openai._options.fetchOptions.dispatcher).toBeUndefined();
}
});
});