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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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40 changed files with 1736 additions and 432 deletions
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4
api/server/services/Endpoints/anthropic/initialize.js
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@ -1,6 +1,6 @@
const { getLLMConfig } = require('@librechat/api');
const { EModelEndpoint } = require('librechat-data-provider');
const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
const { getLLMConfig } = require('~/server/services/Endpoints/anthropic/llm');
const AnthropicClient = require('~/app/clients/AnthropicClient');
const initializeClient = async ({ req, res, endpointOption, overrideModel, optionsOnly }) => {
@ -40,7 +40,6 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
clientOptions = Object.assign(
{
proxy: PROXY ?? null,
userId: req.user.id,
reverseProxyUrl: ANTHROPIC_REVERSE_PROXY ?? null,
modelOptions: endpointOption?.model_parameters ?? {},
},
@ -49,6 +48,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
if (overrideModel) {
clientOptions.modelOptions.model = overrideModel;
}
clientOptions.modelOptions.user = req.user.id;
return getLLMConfig(anthropicApiKey, clientOptions);
}