* 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* fix: outdated OpenAI Client options for getLLMConfig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
* feat: Code Interpreter API & File Search Agent Uploads
chore: add back code files
wip: first pass, abstract key dialog
refactor: influence checkbox on key changes
refactor: update localization keys for 'execute code' to 'run code'
wip: run code button
refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions
feat: first pass, API tool calling
fix: handle missing toolId in callTool function and return 404 for non-existent tools
feat: show code outputs
fix: improve error handling in callTool function and log errors
fix: handle potential null value for filepath in attachment destructuring
fix: normalize language before rendering and prevent null return
fix: add loading indicator in RunCode component while executing code
feat: add support for conditional code execution in Markdown components
feat: attachments
refactor: remove bash
fix: pass abort signal to graph/run
refactor: debounce and rate limit tool call
refactor: increase debounce delay for execute function
feat: set code output attachments
feat: image attachments
refactor: apply message context
refactor: pass `partIndex`
feat: toolCall schema/model/methods
feat: block indexing
feat: get tool calls
chore: imports
chore: typing
chore: condense type imports
feat: get tool calls
fix: block indexing
chore: typing
refactor: update tool calls mapping to support multiple results
fix: add unique key to nav link for rendering
wip: first pass, tool call results
refactor: update query cache from successful tool call mutation
style: improve result switcher styling
chore: note on using \`.toObject()\`
feat: add agent_id field to conversation schema
chore: typing
refactor: rename agentMap to agentsMap for consistency
feat: Agent Name as chat input placeholder
chore: bump agents
📦 chore: update @langchain dependencies to latest versions to match agents package
📦 chore: update @librechat/agents dependency to version 1.8.0
fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label
refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads
feat: upload menu
feat: prime message_file resources
feat: implement conversation access validation in chat route
refactor: remove file parameter from processFileUpload and use req.file instead
feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db
feat: prevent duplicate message saves by checking savedMessageIds in AgentController
refactor: skip legacy RAG API handling for agents
feat: add files field to convoSchema
refactor: update request type annotations from Express.Request to ServerRequest in file processing functions
feat: track conversation files
fix: resendFiles, addPreviousAttachments handling
feat: add ID validation for session_id and file_id in download route
feat: entity_id for code file uploads/downloads
fix: code file edge cases
feat: delete related tool calls
feat: add stream rate handling for LLM configuration
feat: enhance system content with attached file information
fix: improve error logging in resource priming function
* WIP: PoC, sequential agents
WIP: PoC Sequential Agents, first pass content data + bump agents package
fix: package-lock
WIP: PoC, o1 support, refactor bufferString
feat: convertJsonSchemaToZod
fix: form issues and schema defining erroneous model
fix: max length issue on agent form instructions, limit conversation messages to sequential agents
feat: add abort signal support to createRun function and AgentClient
feat: PoC, hide prior sequential agent steps
fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data
refactor: use only last contentData, track model for usage data
chore: bump agents package
fix: content parts issue
refactor: filter contentParts to include tool calls and relevant indices
feat: show function calls
refactor: filter context messages to exclude tool calls when no tools are available to the agent
fix: ensure tool call content is not undefined in formatMessages
feat: add agent_id field to conversationPreset schema
feat: hide sequential agents
feat: increase upload toast duration to 10 seconds
* refactor: tool context handling & update Code API Key Dialog
feat: toolContextMap
chore: skipSpecs -> useSpecs
ci: fix handleTools tests
feat: API Key Dialog
* feat: Agent Permissions Admin Controls
feat: replace label with button for prompt permission toggle
feat: update agent permissions
feat: enable experimental agents and streamline capability configuration
feat: implement access control for agents and enhance endpoint menu items
feat: add welcome message for agent selection in localization
feat: add agents permission to access control and update version to 0.7.57
* fix: update types in useAssistantListMap and useMentions hooks for better null handling
* feat: mention agents
* fix: agent tool resource race conditions when deleting agent tool resource files
* feat: add error handling for code execution with user feedback
* refactor: rename AdminControls to AdminSettings for clarity
* style: add gap to button in AdminSettings for improved layout
* refactor: separate agent query hooks and check access to enable fetching
* fix: remove unused provider from agent initialization options, creates issue with custom endpoints
* refactor: remove redundant/deprecated modelOptions from AgentClient processes
* chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json
* fix: minor styling issues + agent panel uniformity
* fix: agent edge cases when set endpoint is no longer defined
* refactor: remove unused cleanup function call from AppService
* fix: update link in ApiKeyDialog to point to pricing page
* fix: improve type handling and layout calculations in SidePanel component
* fix: add missing localization string for agent selection in SidePanel
* chore: form styling and localizations for upload filesearch/code interpreter
* fix: model selection placeholder logic in AgentConfig component
* style: agent capabilities
* fix: add localization for provider selection and improve dropdown styling in ModelPanel
* refactor: use gpt-4o-mini > gpt-3.5-turbo
* fix: agents configuration for loadDefaultInterface and update related tests
* feat: DALLE Agents support
* feat: Add CodeArtifacts component to Beta settings tab
* chore: Update npm dependency to @codesandbox/sandpack-react@2.18.2
* WIP: artifacts first pass
* WIP first pass remark-directive
* chore: revert markdown to original component + new artifacts rendering
* refactor: first pass rewrite
* refactor: add throttling
* first pass styling
* style: Add Radix Tabs, more styling changes
* feat: second pass
* style: code styling
* fix: package markdown fixes
* feat: Add useEffect hook to Artifacts component for visibility control, slide in animation
* fix: only set artifact if there is content
* refactor: typing and make latest artifact active if the number of artifacts changed
* feat: artifacts + shadcnui
* feat: Add Copy Code button to Artifacts component
* feat: first pass streaming updates
* refactor: optimize ordering of artifacts in Artifacts component
* refactor: optimize ordering of artifacts and add latest artifact activation in Artifacts component
* refactor: add order prop to Artifact
* feat: update to latest, use update time for ordering
* refactor: optimize ordering of artifacts and activate latest artifact in Artifacts component
* wip: remove thinking text and artifact formatting if empty
* refactor: optimize Markdown rendering and add support for code artifacts
* feat: global state for current artifact Id and set on artifact preview click
* refactor: Rename CodePreview component to ArtifactButton
* refactor: apply growth to artifact frame so artifact preview can take full space
* refactor: remove artifactIdsState
* refactor: nullify artifact state and reset on empty conversation
* feat: reset artifact state on conversation change
* feat: artifacts system prompt in backend
* refactor: update UI artifact toggle label to match localization key
* style: remove ArtifactButton inline-block styling
* feat: memoize ArtifactPreview, add html support
* refactor: abstract out components
* chore: bump react-resizable-panel
* refactor: resizable panel order props
* fix: side panel resizing crashes
* style: temporarily remove scrolling, add better styling
* chore: remove thinking for now
* chore: preprocess artifacts for now
* feat: Add auto scrolling to CodeMarkdown (artifacts)
* feat: autoswitch to preview
* feat: auto switch to code, adjust prompt, remove unused code
* feat: refresh button
* feat: open/close artifacts
* wip: mermaid
* refactor: w-fit Artifact button
* chore: organize code
* feat: first pass mermaid
* refactor: improve panning logic in MermaidDiagram component
* feat: center/zoom on first render
* refactor: add centering with reset button
* style: mermaid styling
* refactor: add back MermaidDiagram
* fix: static/html template
* fix: mermaid
* add examples to artifacts prompt
* refactor: fix CodeBar plugin prop logic
* refactor: remove unnecessary mention of artifacts when not requested
* fix: remove preprocessCodeArtifacts function and fix imports
* feat: improve artifacts guidelines and remove unnecessary mentions
* refactor: improve artifacts guidelines and remove unnecessary mentions
* chore: uninstall unused packages
* chore: bump vite
* chore: update three dependency to version 0.167.1
* refactor: move beta settings, add additional artifacts toggles
* feat: artifacts mode toggles
* refactor: adjust prompt
* feat: shadcnui instructions
* feat: code artifacts custom prompt mode
* chore: Update artifacts UI labels and instructions localizations
* refactor: Remove unused code in Markdown component
* refactor: use parseCompactConvo in buildOptions, and generate no default values for the API to avoid weird model behavior with defaults
* refactor: OTHER - always show cursor when markdown component is empty (preferable to not)
* refactor(OpenAISettings): use config object for setting defaults app-wide
* refactor: Use removeNullishValues in buildOptions for ALL endpoints
* fix: add missing conversationId to title methods for transactions; refactor(GoogleClient): model options, set no default, add todo note for recording token usage
* fix: at minimum set a model default, as is required by API (edge case)
* chore: use node-fetch for OpenAIClient fetch key for non-crashing usage of AbortController in Bun runtime
* chore: variable order
* fix(useSSE): prevent finalHandler call in abortConversation to update messages/conversation after user navigated away
* chore: params order
* refactor: organize intermediate message logic and ensure correct variables are passed
* fix: Add stt and tts routes before upload limiters, prevent bans
* fix(abortRun): temp fix to delete unfinished messages to avoid message thread parent relationship issues
* refactor: Update AnthropicClient to use node-fetch for fetch key and add proxy support
* fix(gptPlugins): ensure parentMessageId/messageId relationship is maintained
* feat(BaseClient): custom fetch function to analyze/edit payloads just before sending (also prevents abortController crash on Bun runtime)
* feat: `directEndpoint` and `titleMessageRole` custom endpoint options
* chore: Bump version to 0.6.6 in data-provider package.json
* chore: make frequent 'error' log into 'debug' log
* feat: add maxContextTokens as a conversation field
* refactor(settings): increase popover height
* feat: add DynamicInputNumber and maxContextTokens to all endpoints that support it (frontend), fix schema
* feat: maxContextTokens handling (backend)
* style: revert popover height
* feat: max tokens
* fix: Ollama Vision firebase compatibility
* fix: Ollama Vision, use message_file_map to determine multimodal request
* refactor: bring back MobileNav and improve title styling
* WIP: first pass ModelSpecs
* refactor(onSelectEndpoint): use `getConvoSwitchLogic`
* feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages
* feat: conversation.iconURL & greeting in Landing
* feat: conversation.iconURL & greeting in New Chat button
* feat: message.iconURL
* refactor: ConversationIcon -> ConvoIconURL
* WIP: add spec as a conversation field
* refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec
* feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load
* chore: handle undefined or empty modelSpecs
* WIP: first pass, modelSpec schema for custom config
* refactor: move default filtered tools definition to ToolService
* feat: pass modelSpecs from backend via startupConfig
* refactor: modelSpecs config, return and define list
* fix: react error and include iconURL in responseMessage
* refactor: add iconURL to responseMessage only
* refactor: getIconEndpoint
* refactor: pass TSpecsConfig
* fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints
* refactor: assistant id prefix localStorage key
* refactor: add more LocalStorageKeys and replace hardcoded values
* feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage)
* feat: first pass, interface config
* chore: WIP, todo: add warnings based on config.modelSpecs settings.
* feat: enforce modelSpecs if configured
* feat: show config file yaml errors
* chore: delete unused legacy Plugins component
* refactor: set tools to localStorage from recoil store
* chore: add stable recoil setter to useEffect deps
* refactor: save tools to conversation documents
* style(MultiSelectPop): dynamic height, remove unused import
* refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery
* feat(utils): add mapPlugins
* refactor(Convo): use conversation.tools if defined, lastSelectedTools if not
* refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings
* refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters
* fix(HeaderOptions): pass `popover` as true
* refactor(useSetStorage): use project enums
* refactor: use LocalStorageKeys enum
* fix: prevent setConversation from setting falsy values in lastSelectedTools
* refactor: use map for availableTools state and available Plugins query
* refactor(updateLastSelectedModel): organize logic better and add note on purpose
* fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins
* refactor(buildDefaultConvo): use enum
* refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage
* fix: conversations retain tools on refresh
* fix(gptPlugins): prevent nullish tools from being saved
* chore: delete useServerStream
* refactor: move initial plugins logic to useAppStartup
* refactor(MultiSelectDropDown): add more pass-in className props
* feat: use tools in presets
* chore: delete unused usePresetOptions
* refactor: new agentOptions default handling
* chore: note
* feat: add label and custom instructions to agents
* chore: remove 'disabled with tools' message
* style: move plugins to 2nd column in parameters
* fix: TPreset type for agentOptions
* fix: interface controls
* refactor: add interfaceConfig, use Separator within Switcher
* refactor: hide Assistants panel if interface.parameters are disabled
* fix(Header): only modelSpecs if list is greater than 0
* refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following
* fix(AppService): don't use reserved keyword 'interface'
* feat: set existing Icon for custom endpoints through iconURL
* fix(ci): tests passing for App Service
* docs: refactor custom_config.md for readability and better organization, also include missing values
* docs: interface section and re-organize docs
* docs: update modelSpecs info
* chore: remove unused files
* chore: remove unused files
* chore: move useSetIndexOptions
* chore: remove unused file
* chore: move useConversation(s)
* chore: move useDefaultConvo
* chore: move useNavigateToConvo
* refactor: use plugin install hook so it can be used elsewhere
* chore: import order
* update docs
* refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel
* chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled
* feat(loadDefaultInterface): issue warnings based on values
* feat: changelog for custom config file
* docs: add additional changelog note
* fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations
* feat: add `filteredTools` option in custom config
* chore: changelog
* fix(MessageIcon): always overwrite conversation.iconURL in messageSettings
* fix(ModelSpecsMenu): icon edge cases
* fix(NewChat): dynamic icon
* fix(PluginsClient): always include endpoint in responseMessage
* fix: always include endpoint and iconURL in responseMessage across different response methods
* feat: interchangeable keys for modelSpec enforcing
* refactor: re-purpose `resendImages` as `resendFiles`
* refactor: re-purpose `resendImages` as `resendFiles`
* feat: upload general files
* feat: embed file during upload
* feat: delete file embeddings on file deletion
* chore(fileConfig): add epub+zip type
* feat(encodeAndFormat): handle non-image files
* feat(createContextHandlers): build context prompt from file attachments and successful RAG
* fix: prevent non-temp files as well as embedded files to be deleted on new conversation
* fix: remove temp_file_id on usage, prevent non-temp files as well as embedded files to be deleted on new conversation
* fix: prevent non-temp files as well as embedded files to be deleted on new conversation
* feat(OpenAI/Anthropic/Google): basic RAG support
* fix: delete `resendFiles` only when true (Default)
* refactor(RAG): update endpoints and pass JWT
* fix(resendFiles): default values
* fix(context/processFile): query unique ids only
* feat: rag-api.yaml
* feat: file upload improved ux for longer uploads
* chore: await embed call and catch embedding errors
* refactor: store augmentedPrompt in Client
* refactor(processFileUpload): throw error if not assistant file upload
* fix(useFileHandling): handle markdown empty mimetype issue
* chore: necessary compose file changes
* chore: bump browserslist-db@latest
* refactor(EndpointService): simplify with `generateConfig`, utilize optional baseURL for OpenAI-based endpoints, use `isUserProvided` helper fn wherever needed
* refactor(custom/initializeClient): use standardized naming for common variables
* feat: user provided baseURL for openAI-based endpoints
* refactor(custom/initializeClient): re-order operations
* fix: knownendpoints enum definition and add FetchTokenConfig, bump data-provider
* refactor(custom): use tokenKey dependent on userProvided conditions for caching and fetching endpointTokenConfig, anticipate token rates from custom config
* refactor(custom): assure endpointTokenConfig is only accessed from cache if qualifies for fetching
* fix(ci): update tests for initializeClient based on userProvideURL changes
* fix(EndpointService): correct baseURL env var for assistants: `ASSISTANTS_BASE_URL`
* fix: unnecessary run cancellation on res.close() when response.run is completed
* feat(assistants): user provided URL option
* ci: update tests and add test for `assistants` endpoint
* chore: leaner condition for request closing
* chore: more descriptive error message to provide keys again
* wip: first pass for azure endpoint schema
* refactor: azure config to return groupMap and modelConfigMap
* wip: naming and schema changes
* refactor(errorsToString): move to data-provider
* feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors
* feat(AppService): load Azure groups
* refactor(azure): use imported types, write `mapModelToAzureConfig`
* refactor: move `extractEnvVariable` to data-provider
* refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests
* refactor(AppService): ensure each model is properly configured on startup
* refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config
* feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file
* refactor: redefine types as well as load azureOpenAI models from config file
* chore(ci): fix test description naming
* feat(azureOpenAI): use validated model grouping for request authentication
* chore: bump data-provider following rebase
* chore: bump config file version noting significant changes
* feat: add title options and switch azure configs for titling and vision requests
* feat: enable azure plugins from config file
* fix(ci): pass tests
* chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated
* fix(fetchModels): early return if apiKey not passed
* chore: fix azure config typing
* refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions
* feat(createLLM): use `azureOpenAIBasePath`
* feat(parsers): resolveHeaders
* refactor(extractBaseURL): handle invalid input
* feat(OpenAIClient): handle headers and baseURL for azureConfig
* fix(ci): pass `OpenAIClient` tests
* chore: extract env var for azureOpenAI group config, baseURL
* docs: azureOpenAI config setup docs
* feat: safe check of potential conflicting env vars that map to unique placeholders
* fix: reset apiKey when model switches from originally requested model (vision or title)
* chore: linting
* docs: CONFIG_PATH notes in custom_config.md
* fix: handle non-assistant role ChatCompletionMessage error
* refactor(ModelController): decouple res.send from loading/caching models
* fix(custom/initializeClient): only fetch custom endpoint models if models.fetch is true
* refactor(validateModel): load models if modelsConfig is not yet cached
* docs: update on file upload rate limiting
* feat: send the LibreChat user ID as a query param when fetching the list of models
* chore: update bun
* chore: change bun command for building data-provider
* refactor: prefer use of `getCustomConfig` to access custom config, also move to `server/services/Config`
* refactor: make endpoints/custom option for the config optional, add userIdQuery, and use modelQueries log store in ModelService
* refactor(ModelService): use env variables at runtime, use default models from data-provider, and add tests
* docs: add `userIdQuery`
* fix(ci): import changed
* style(Icon): remove error bubble from message icon
* fix(custom): `initializeClient` now throws error if apiKey or baseURL are admin provided but no env var was found
* refactor(tPresetSchema): match `conversationId` type to `tConversationSchema` but optional, use `extendedModelEndpointSchema` for `endpoint`
* fix(useSSE): minor improvements
- use `completed` set to avoid submitting unecessary abort request
- set preset with `newConversation` calls using initial conversation settings to prevent default Preset override as well as default settings
- return if there is a parsing error within `onerror` as expected errors from server are properly formatted
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
