* refactor: move endpoint initialization methods to typescript
* refactor: move agent init to packages/api
- Introduced `initialize.ts` for agent initialization, including file processing and tool loading.
- Updated `resources.ts` to allow optional appConfig parameter.
- Enhanced endpoint configuration handling in various initialization files to support model parameters.
- Added new artifacts and prompts for React component generation.
- Refactored existing code to improve type safety and maintainability.
* refactor: streamline endpoint initialization and enhance type safety
- Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`.
- Simplified request handling by directly extracting keys from the request body.
- Improved type safety by ensuring user IDs are safely accessed with optional chaining.
- Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability.
* refactor: moved ModelService and extractBaseURL to packages/api
- Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models.
- Updated existing endpoint index to include the new models module.
- Enhanced utility functions for URL extraction and model data processing.
- Improved type safety and error handling across the models fetching logic.
* refactor: consolidate utility functions and remove unused files
- Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization.
- Removed redundant utility files and their associated tests to streamline the codebase.
- Updated imports across various client files to utilize the new consolidated functions.
- Enhanced overall maintainability by reducing the number of utility modules.
* refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file
* refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api`
* chore: remove unused 'res' from options in AgentClient
* refactor: file model imports and methods
- Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'.
- Consolidated file-related methods into a new file methods module in the data-schemas package.
- Added comprehensive tests for file methods including creation, retrieval, updating, and deletion.
- Enhanced the initializeAgent function to accept dependency injection for file-related methods.
- Improved error handling and logging in file methods.
* refactor: streamline database method references in agent initialization
* refactor: enhance file method tests and update type references to IMongoFile
* refactor: consolidate database method imports in agent client and initialization
* chore: remove redundant import of initializeAgent from @librechat/api
* refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints
* refactor: move updateUserPlugins logic to user.ts and simplify UserController
* refactor: update imports for user key management and remove UserService
* refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports
* refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas
* chore: update file model mock to use unified import from '~/models'
* chore: import order
* refactor: remove migrated to TS agent.js file and its associated logic from the endpoints
* chore: add reusable function to extract imports from source code in unused-packages workflow
* chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction
* chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output
* chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists
* chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports
* chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts
* 🔧 fix: Gemini as Custom Endpoint Auth. Error for OAI-compatible API
* refactor: Google Compatibility in OpenAI Config
- Added a test to ensure `googleSearch` is filtered out when `web_search` is only present in `modelOptions`, not in `addParams` or `defaultParams`.
- Updated `transformToOpenAIConfig` to preserve `googleSearch` tools if `web_search` is explicitly enabled via `addParams` or `defaultParams`.
- Refactored the filtering logic for Google-specific tools to accommodate the new behavior.
* feat: add support for known/add/drop parameters in Anthropic and Google LLM configurations
* ci: add tests for web search support for Anthropic and Google configurations with addParams and dropParams handling
* 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>
- Updated the Google configuration and related schemas to replace 'grounding' with 'web_search' for consistency.
- Adjusted the logic in the getGoogleConfig function to reflect the new naming convention.
- Ensured all references in parameter settings and conversation schemas are updated accordingly.
* ✨ feat: Add Google Search Grounding Feature and Update Agent Tool Initialization
- Introduced a new grounding option in the Google configuration to enable real-time web search results.
- Updated the agent initialization to concatenate additional tools from options.
- Enhanced translation files to include descriptions for the new grounding feature.
- Modified relevant schemas and parameter settings to support the grounding functionality.
* 🔑 chore: Update @librechat/agents dependency to version 2.4.50
* ✅ fix: Ensure tools array is initialized before concatenation in initializeAgent function
* chore: Update version of librechat-data-provider to 0.7.899 and add GOOGLE_TOOL_CONFLICT error type
* fix: Adjust label class for better text wrapping in DynamicSwitch component
* fix: Handle Google tool conflict error and update error messages in translation
* fix: Restore grounding setting in googleCol2 configuration
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* feat: support thinking budget parameter for Gemini 2.5 series (#6949, #7542)
https://ai.google.dev/gemini-api/docs/thinking#set-budget
* refactor: update thinking budget minimum value to -1 for dynamic thinking
- see: https://ai.google.dev/gemini-api/docs/thinking#set-budget
* chore: bump @librechat/agents to v2.4.43
* refactor: rename LLMConfigOptions to OpenAIConfigOptions for clarity and consistency
- Updated type definitions and references in initialize.ts, llm.ts, and openai.ts to reflect the new naming convention.
- Ensured that the OpenAI configuration options are consistently used across the relevant files.
* refactor: port Google LLM methods to TypeScript Package
* chore: update @librechat/agents version to 2.4.43 in package-lock.json and package.json
* refactor: update thinking budget description for clarity and adjust placeholder in parameter settings
* refactor: enhance googleSettings default value for thinking budget to support dynamic adjustment
* chore: update @librechat/agents to v2.4.44 for Vertex Dynamic Thinking workaround
* refactor: rename google config function, update `createRun` types, use `reasoning` as `reasoningKey` for Google
* refactor: simplify placeholder handling in DynamicInput component
* refactor: enhance thinking budget description for clarity and allow automatic decision by setting to "-1"
* refactor: update text styling in OptionHover component for improved readability
* chore: update @librechat/agents dependency to v2.4.46 in package.json and package-lock.json
* chore: update @librechat/api version to 1.2.5 in package.json and package-lock.json
* refactor: enhance `clientOptions` handling by filtering `omitTitleOptions`, add `json` field for Google models
---------
Co-authored-by: ciffelia <15273128+ciffelia@users.noreply.github.com>
