* 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>
* 🔧 fix: enhance client options handling in AgentClient and set default recursion limit
- Updated the recursion limit to default to 25 if not specified in agentsEConfig.
- Enhanced client options in AgentClient to include model parameters such as apiKey and anthropicApiUrl from agentModelParams.
- Updated requestOptions in the anthropic endpoint to use reverseProxyUrl as anthropicApiUrl.
* Enhance LLM configuration tests with edge case handling
* chore add return type annotation for getCustomEndpointConfig function
* fix: update modelOptions handling to use optional chaining and default to empty object in multiple endpoint initializations
* chore: update @librechat/agents to version 2.4.42
* refactor: streamline agent endpoint configuration and enhance client options handling for title generations
- Introduced a new `getProviderConfig` function to centralize provider configuration logic.
- Updated `AgentClient` to utilize the new provider configuration, improving clarity and maintainability.
- Removed redundant code related to endpoint initialization and model parameter handling.
- Enhanced error logging for missing endpoint configurations.
* fix: add abort handling for image generation and editing in OpenAIImageTools
* ci: enhance getLLMConfig tests to verify fetchOptions and dispatcher properties
* fix: use optional chaining for endpointOption properties in getOptions
* fix: increase title generation timeout from 25s to 45s, pass `endpointOption` to `getOptions`
* fix: update file filtering logic in getToolFilesByIds to ensure text field is properly checked
* fix: add error handling for empty OCR results in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance error handling in file upload to include 'No OCR result' message
* chore: update error messages in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance filtering logic in getToolFilesByIds to include context checks for OCR resources to only include files directly attached to agent
---------
Co-authored-by: Matt Burnett <matt.burnett@shopify.com>
* 🔧 chore: fix ESLint warnings in AdminSettings
* fix: DropdownPopup for BookmarkMenu being affected by recent Header change
* fix: Replace button with OGDialogClose for proper dialog closing
* chore: linting in google client initialization
* chore: linting in getLLMConfig function
* chore: update @librechat/agents to version 2.4.38 to support Google GenAI Custom Headers
* feat: Add thinking and thinkingBudget parameters for Bedrock Anthropic models
* chore: Update @librechat/agents to version 2.1.8
* refactor: change region order in params
* refactor: Add maxTokens parameter to conversation preset schema
* refactor: Update agent client to use bedrockInputSchema and improve error handling for model parameters
* refactor: streamline/optimize llmConfig initialization and saving for bedrock
* fix: ensure config titleModel is used for all endpoints
* refactor: enhance OpenAIClient and agent initialization to support endpoint checks for OpenRouter
* chore: bump @google/generative-ai
* feat: Refactor ModelEndHandler to collect usage metadata only if it exists
* feat: google tool end handling, custom anthropic class for better token ux
* refactor: differentiate between client <> request options
* feat: initial support for google agents
* feat: only cache messages with non-empty text
* feat: Cache non-empty messages in chatV2 controller
* fix: anthropic llm client options llmConfig
* refactor: streamline client options handling in LLM configuration
* fix: VertexAI Agent Auth & Tool Handling
* fix: additional fields for llmConfig, however customHeaders are not supported by langchain, requires PR
* feat: set default location for vertexai LLM configuration
* fix: outdated OpenAI Client options for getLLMConfig
* chore: agent provider options typing
* chore: add note about currently unsupported customHeaders in langchain GenAI client
* fix: skip transaction creation when rawAmount is NaN
