* 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
* 🔧 chore: Update @librechat/agents to version 3.0.35
* ✨ feat: Add DeepSeek Model Pricing and Token Handling
- Introduced pricing and token limits for 'deepseek-chat' and 'deepseek-reasoner' models, including prompt and completion rates.
- Enhanced tests to validate pricing and token limits for DeepSeek models, ensuring correct handling of model variations and provider prefixes.
- Updated cache multipliers for DeepSeek models to reflect new pricing structure.
- Improved max output token handling for DeepSeek models, ensuring consistency across different endpoints.
* 🤖 feat: Latest Grok Model Pricing & Context Rates
- Introduced 'grok-4-fast', 'grok-4-1-fast', and 'grok-code-fast' models with their respective prompt and completion rates.
- Enhanced unit tests to validate prompt and completion rates for the new models, including variations with prefixes.
- Updated token limits for the new models in the tokens utility, ensuring accurate handling in tests.
* 🔧 refactor: Optimize JSON Export Logic in useExportConversation Hook
Updated the export logic to create a Blob from the JSON string before downloading, improving compatibility and performance for file downloads. This change enhances the handling of deeply nested exports while maintaining the file size reduction achieved in previous updates.
* 🤖 feat: Claude Opus 4.5 Token Rates and Window Limits
- Introduced new model 'claude-opus-4-5' with defined prompt and completion values in tokenValues and cacheTokenValues.
- Updated tests to validate prompt, completion, and cache rates for the new model.
- Enhanced model name handling to accommodate variations for 'claude-opus-4-5' across different contexts.
- Adjusted schemas to ensure correct max output token limits for the new model.
* ci: Add tests for "prompt-caching" beta header in Claude Opus 4.5 models
- Implemented tests to verify the addition of the "prompt-caching" beta header for the 'claude-opus-4-5' model and its variations.
- Updated future-proofing logic to ensure correct max token limits for Claude 4.x and 5.x Opus models, adjusting defaults to 64K where applicable.
- Enhanced existing tests to reflect changes in expected max token values for future Claude models.
* chore: Remove redundant max output check for Anthropic settings
- Eliminated the unnecessary check for ANTHROPIC_MAX_OUTPUT in the anthropicSettings schema, streamlining the logic for handling max output values.
* feat: Add support for model in token configurations and tests
* chore: Update @librechat/agents to version 3.0.26 in package.json and package-lock.json
* updated gpt5-pro
it is here and on openrouter
https://platform.openai.com/docs/models/gpt-5-pro
* feat: Add gpt-5-pro pricing
- Implemented handling for the new gpt-5-pro model in the getValueKey function.
- Updated tests to ensure correct behavior for gpt-5-pro across various scenarios.
- Adjusted token limits and multipliers for gpt-5-pro in the tokens utility files.
- Enhanced model matching functionality to include gpt-5-pro variations.
* refactor: optimize model pricing and validation logic
- Added new model pricing entries for llama2, llama3, and qwen variants in tx.js.
- Updated tokenValues to include additional models and their pricing structures.
- Implemented validation tests in tx.spec.js to ensure all models resolve correctly to pricing.
- Refactored getValueKey function to improve model matching and resolution efficiency.
- Removed outdated model entries from tokens.ts to streamline pricing management.
* fix: add missing pricing
* chore: update model pricing for qwen and gemma variants
* chore: update model pricing and add validation for context windows
- Removed outdated model entries from tx.js and updated tokenValues with new models.
- Added a test in tx.spec.js to ensure all models with pricing have corresponding context windows defined in tokens.ts.
- Introduced 'command-text' model pricing in tokens.ts to maintain consistency across model definitions.
* chore: update model names and pricing for AI21 and Amazon models
- Refactored model names in tx.js for AI21 and Amazon models to remove versioning and improve consistency.
- Updated pricing values in tokens.ts to reflect the new model names.
- Added comprehensive tests in tx.spec.js to validate pricing for both short and full model names across AI21 and Amazon models.
* feat: add pricing and validation for Claude Haiku 4.5 model
* chore: increase default max context tokens to 18000 for agents
* feat: add Qwen3 model pricing and validation tests
* chore: reorganize and update Qwen model pricing in tx.js and tokens.ts
---------
Co-authored-by: khfung <68192841+khfung@users.noreply.github.com>
* fix: update @librechat/agents to v2.4.83 to handle reasoning edge case encountered with GLM models
* feat: GLM Context Window & Pricing Support
* feat: Add support for glm4 model in token values and tests
* feat: Add new Claude models to sharedAnthropicModels list
* chore: use correct claude aliases for default list
* chore: update deepseek model rates for accuracy
* chore: update @librechat/agents dependency to version 2.4.82
* 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>
