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🎚️ feat: Anthropic Parameter Set Support via Custom Endpoints (#9415)

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* refactor: modularize openai llm config logic into new getOpenAILLMConfig function (#9412)

* ✈️ refactor: Migrate Anthropic's getLLMConfig to TypeScript (#9413)

* refactor: move tokens.js over to packages/api and update imports

* refactor: port tokens.js to typescript

* refactor: move helpers.js over to packages/api and update imports

* refactor: port helpers.js to typescript

* refactor: move anthropic/llm.js over to packages/api and update imports

* refactor: port anthropic/llm.js to typescript with supporting types in types/anthropic.ts and updated tests in llm.spec.js

* refactor: move llm.spec.js over to packages/api and update import

* refactor: port llm.spec.js over to typescript

* 📝  Add Prompt Parameter Support for Anthropic Custom Endpoints (#9414)

feat: add anthropic llm config support for openai-like (custom) endpoints

* fix: missed compiler / type issues from addition of getAnthropicLLMConfig

* refactor: update tokens.ts to export constants and functions, enhance type definitions, and adjust default values

* WIP: first pass, decouple `llmConfig` from `configOptions`

* chore: update import path for OpenAI configuration from 'llm' to 'config'

* refactor: enhance type definitions for ThinkingConfig and update modelOptions in AnthropicConfigOptions

* refactor: cleanup type, introduce openai transform from alt provider

* chore: integrate removeNullishValues in Google llmConfig and update OpenAI exports

* chore: bump version of @librechat/api to 1.3.5 in package.json and package-lock.json

* refactor: update customParams type in OpenAIConfigOptions to use TConfig['customParams']

* refactor: enhance transformToOpenAIConfig to include fromEndpoint and improve config extraction

* refactor: conform userId field for anthropic/openai, cleanup anthropic typing

* ci: add backward compatibility tests for getOpenAIConfig with various endpoints and configurations

* ci: replace userId with user in clientOptions for getLLMConfig

* test: add Azure OpenAI endpoint tests for various configurations in getOpenAIConfig

* refactor: defaultHeaders retrieval for prompt caching for anthropic-based custom endpoint (litellm)

* test: add unit tests for getOpenAIConfig with various Anthropic model configurations

* test: enhance Anthropic compatibility tests with addParams and dropParams handling

* chore: update @librechat/agents dependency to version 2.4.78 in package.json and package-lock.json

* chore: update @librechat/agents dependency to version 2.4.79 in package.json and package-lock.json

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
This commit is contained in:
Dustin Healy 2025-09-08 11:35:29 -07:00 • committed by GitHub
parent 7de6f6e44c
commit c6ecf0095b
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8
api/server/services/ModelService.spec.js
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@ -11,8 +11,8 @@ const {
getAnthropicModels,
} = require('./ModelService');
jest.mock('~/utils', () => {
const originalUtils = jest.requireActual('~/utils');
jest.mock('@librechat/api', () => {
const originalUtils = jest.requireActual('@librechat/api');
return {
...originalUtils,
processModelData: jest.fn((...args) => {
@ -108,7 +108,7 @@ describe('fetchModels with createTokenConfig true', () => {
beforeEach(() => {
// Clears the mock's history before each test
const _utils = require('~/utils');
const _utils = require('@librechat/api');
axios.get.mockResolvedValue({ data });
});
@ -120,7 +120,7 @@ describe('fetchModels with createTokenConfig true', () => {
createTokenConfig: true,
});
const { processModelData } = require('~/utils');
const { processModelData } = require('@librechat/api');
expect(processModelData).toHaveBeenCalled();
expect(processModelData).toHaveBeenCalledWith(data);
});