* 📐 refactor: Exclude Params from OAI Reasoning Models
- Introduced a new test suite for `getOpenAILLMConfig` covering various model configurations, including basic settings, reasoning models, and web search functionality.
- Validated parameter handling for different models, ensuring correct exclusions and conversions, particularly for temperature and max_tokens.
- Enhanced tests for default and additional parameters, drop parameters, and verbosity handling, ensuring robust coverage of the configuration logic.
* ci: Update OpenAI model version in configuration tests
- Changed model references from 'gpt-5' to 'gpt-4' across multiple test cases in the `getOpenAIConfig` function.
- Adjusted related parameter handling to ensure compatibility with the updated model version, including maxTokens and temperature settings.
- Enhanced test coverage for model options and their expected configurations.
* 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
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Co-authored-by: Danny Avila <danny@librechat.ai>
* fix: freq. and pres. penalty use camelcase
* ci: OpenAI Configuration Tests
* ci: Enhance OpenAI Configuration Tests with Azure and Custom Endpoint Scenarios
* Added integration tests for OpenAI and Azure configurations simulating various initialization scenarios.
* Updated OpenAIConfigOptions to allow null values for reverseProxyUrl and proxy.
* Improved handling of reasoning parameters in tests for both OpenAI and Azure setups.
* Ensured robust error handling for missing API keys and malformed configurations.
* Optimized performance for large parameter sets in configuration.
* test: Add comprehensive integration tests for Anthropic LLM configuration
* Introduced real usage integration tests for various Anthropic endpoint configurations, including handling of proxy and reverse proxy setups.
* Implemented model-specific scenarios for Claude-3.7 and web search functionality.
* Enhanced error handling for missing user IDs and large parameter sets.
* Validated parameter logic, including default values, boundary conditions, and type handling for numeric and array parameters.
* Ensured proper exclusion of system options from model options and maintained expected behavior across different model variations.
* WIP: Verbosity OpenAI Parameter
* 🔧 chore: remove unused import of extractEnvVariable from parsers.ts
* ✨ feat: add comprehensive tests for getOpenAIConfig and enhance verbosity handling
* fix: Handling for maxTokens in GPT-5+ models and add corresponding tests
* feat: Implement GPT-5+ model handling in processMemory function
