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🔧 refactor: Improve Params Handling, Remove Legacy Items, & Update Configs (#6074)

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* chore: include all assets for service worker, remove unused tsconfig.node.json, eslint ignore vite config

* chore: exclude image files from service worker caching

* refactor: simplify googleSchema transformation and error handling

* fix: max output tokens cap for 3.7 models

* fix: skip index fixing in CI, development, and test environments

* ci: add maxOutputTokens handling tests for Claude models

* refactor: drop top_k and top_p parameters for claude-3.7 in AnthropicClient and add tests for new behavior

* refactor: conditionally include top_k and top_p parameters for non-claude-3.7 models

* ci: add unit tests for getLLMConfig function with various model options

* chore: remove all OPENROUTER_API_KEY legacy logic

* refactor: optimize stream chunk handling

* feat: reset model parameters button

* refactor: remove unused examples field from convoSchema and presetSchema

* chore: update librechat-data-provider version to 0.7.6993

* refactor: move excludedKeys set to data-provider for better reusability

* feat: enhance saveMessageToDatabase to handle unset fields and fetched conversation state

* feat: add 'iconURL' and 'greeting' to excludedKeys in data provider config

* fix: add optional chaining to user ID retrieval in getConvo call
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Danny Avila 2025-02-26 15:02:03 -05:00 • committed by GitHub
parent e14df5956a
commit be280004cf
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25 changed files with 561 additions and 238 deletions
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5
api/server/services/ModelService.js
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@ -129,9 +129,6 @@ const fetchOpenAIModels = async (opts, _models = []) => {
// .split('/deployments')[0]
// .concat(`/models?api-version=${azure.azureOpenAIApiVersion}`);
// apiKey = azureOpenAIApiKey;
} else if (process.env.OPENROUTER_API_KEY) {
reverseProxyUrl = 'https://openrouter.ai/api/v1';
apiKey = process.env.OPENROUTER_API_KEY;
}
if (reverseProxyUrl) {
@ -218,7 +215,7 @@ const getOpenAIModels = async (opts) => {
return models;
}
if (userProvidedOpenAI && !process.env.OPENROUTER_API_KEY) {
if (userProvidedOpenAI) {
return models;
}