* docs: Update README to include Model Context Protocol support and enhance access descriptions
* fix: Update civic integrity threshold to use 'BLOCK_NONE' as default
* fix: Update GOOGLE_MODELS in .env.example and adjust civic integrity threshold for new model compatibility
* ✨ v0.7.6
* feat: Add 'gemini-2.0-flash-thinking-exp' model to googleModels context windows
* feat: o1 default response sender string
* feat: add o1 models to default openai models list, add `no_system_messages` error type; refactor: use error type as localization key
* refactor(MessageEndpointIcon): differentiate openAI icon model color for o1 models
* refactor(AnthropicClient): use new input/output tokens keys; add prompt caching for claude-3-opus
* refactor(BaseClient): to use new input/output tokens keys; update typedefs
* feat: initial o1 model handling, including token cost complexity
* EXPERIMENTAL: special handling for o1 model with custom instructions
* feat: Add BedrockIcon component to SVG library
* feat: EModelEndpoint.bedrock
* feat: first pass, bedrock chat. note: AgentClient is returning `agents` as conversation.endpoint
* fix: declare endpoint in initialization step
* chore: Update @librechat/agents dependency to version 1.4.5
* feat: backend content aggregation for agents/bedrock
* feat: abort agent requests
* feat: AWS Bedrock icons
* WIP: agent provider schema parsing
* chore: Update EditIcon props type
* refactor(useGenerationsByLatest): make agents and bedrock editable
* refactor: non-assistant message content, parts
* fix: Bedrock response `sender`
* fix: use endpointOption.model_parameters not endpointOption.modelOptions
* fix: types for step handler
* refactor: Update Agents.ToolCallDelta type
* refactor: Remove unnecessary assignment of parentMessageId in AskController
* refactor: remove unnecessary assignment of parentMessageId (agent request handler)
* fix(bedrock/agents): message regeneration
* refactor: dynamic form elements using react-hook-form Controllers
* fix: agent icons/labels for messages
* fix: agent actions
* fix: use of new dynamic tags causing application crash
* refactor: dynamic settings touch-ups
* refactor: update Slider component to allow custom track class name
* refactor: update DynamicSlider component styles
* refactor: use Constants value for GLOBAL_PROJECT_NAME (enum)
* feat: agent share global methods/controllers
* fix: agents query
* fix: `getResponseModel`
* fix: share prompt a11y issue
* refactor: update SharePrompt dialog theme styles
* refactor: explicit typing for SharePrompt
* feat: add agent roles/permissions
* chore: update @librechat/agents dependency to version 1.4.7 for tool_call_ids edge case
* fix(Anthropic): messages.X.content.Y.tool_use.input: Input should be a valid dictionary
* fix: handle text parts with tool_call_ids and empty text
* fix: role initialization
* refactor: don't make instructions required
* refactor: improve typing of Text part
* fix: setShowStopButton for agents route
* chore: remove params for now
* fix: add streamBuffer and streamRate to help prevent 'Overloaded' errors from Anthropic API
* refactor: remove console.log statement in ContentRender component
* chore: typing, rename Context to Delete Button
* chore(DeleteButton): logging
* refactor(Action): make accessible
* style(Action): improve a11y again
* refactor: remove use/mention of mongoose sessions
* feat: first pass, sharing agents
* feat: visual indicator for global agent, remove author when serving to non-author
* wip: params
* chore: fix typing issues
* fix(schemas): typing
* refactor: improve accessibility of ListCard component and fix console React warning
* wip: reset templates for non-legacy new convos
* Revert "wip: params"
This reverts commit f8067e91d4.
* Revert "refactor: dynamic form elements using react-hook-form Controllers"
This reverts commit 2150c4815d.
* fix(Parameters): types and parameter effect update to only update local state to parameters
* refactor: optimize useDebouncedInput hook for better performance
* feat: first pass, anthropic bedrock params
* chore: paramEndpoints check for endpointType too
* fix: maxTokens to use coerceNumber.optional(),
* feat: extra chat model params
* chore: reduce code repetition
* refactor: improve preset title handling in SaveAsPresetDialog component
* refactor: improve preset handling in HeaderOptions component
* chore: improve typing, replace legacy dialog for SaveAsPresetDialog
* feat: save as preset from parameters panel
* fix: multi-search in select dropdown when using Option type
* refactor: update default showDefault value to false in Dynamic components
* feat: Bedrock presets settings
* chore: config, fix agents schema, update config version
* refactor: update AWS region variable name in bedrock options endpoint to BEDROCK_AWS_DEFAULT_REGION
* refactor: update baseEndpointSchema in config.ts to include baseURL property
* refactor: update createRun function to include req parameter and set streamRate based on provider
* feat: availableRegions via config
* refactor: remove unused demo agent controller file
* WIP: title
* Update @librechat/agents to version 1.5.0
* chore: addTitle.js to handle empty responseText
* feat: support images and titles
* feat: context token updates
* Refactor BaseClient test to use expect.objectContaining
* refactor: add model select, remove header options params, move side panel params below prompts
* chore: update models list, catch title error
* feat: model service for bedrock models (env)
* chore: Remove verbose debug log in AgentClient class following stream
* feat(bedrock): track token spend; fix: token rates, value key mapping for AWS models
* refactor: handle streamRate in `handleLLMNewToken` callback
* chore: AWS Bedrock example config in `.env.example`
* refactor: Rename bedrockMeta to bedrockGeneral in settings.ts and use for AI21 and Amazon Bedrock providers
* refactor: Update `.env.example` with AWS Bedrock model IDs URL and additional notes
* feat: titleModel support for bedrock
* refactor: Update `.env.example` with additional notes for AWS Bedrock model IDs
* agents - phase 1 (#30)
* chore: copy assistant files
* feat: frontend and data-provider
* feat: backend get endpoint test
* fix(MessageEndpointIcon): switched to AgentName and AgentAvatar
* fix: small fixes
* fix: agent endpoint config
* fix: show Agent Builder
* chore: install agentus
* chore: initial scaffolding for agents
* fix: updated Assistant logic to Agent Logic for some Agent components
* WIP first pass, demo of agent package
* WIP: initial backend infra for agents
* fix: agent list error
* wip: agents routing
* chore: Refactor useSSE hook to handle different data events
* wip: correctly emit events
* chore: Update @librechat/agentus npm dependency to version 1.0.9
* remove comment
* first pass: streaming agent text
* chore: Remove @librechat/agentus root-level workspace npm dependency
* feat: Agent Schema and Model
* fix: content handling fixes
* fix: content message save
* WIP: new content data
* fix: run step issue with tool calls
* chore: Update @librechat/agentus npm dependency to version 1.1.5
* feat: update controller and agent routes
* wip: initial backend tool and tool error handling support
* wip: tool chunks
* chore: Update @librechat/agentus npm dependency to version 1.1.7
* chore: update tool_call typing, add test conditions and logs
* fix: create agent
* fix: create agent
* first pass: render completed content parts
* fix: remove logging, fix step handler typing
* chore: Update @librechat/agentus npm dependency to version 1.1.9
* refactor: cleanup maps on unmount
* chore: Update BaseClient.js to safely count tokens for string, number, and boolean values
* fix: support subsequent messages with tool_calls
* chore: export order
* fix: select agent
* fix: tool call types and handling
* chore: switch to anthropic for testing
* fix: AgentSelect
* refactor: experimental: OpenAIClient to use array for intermediateReply
* fix(useSSE): revert old condition for streaming legacy client tokens
* fix: lint
* revert `agent_id` to `id`
* chore: update localization keys for agent-related components
* feat: zod schema handling for actions
* refactor(actions): if no params, no zodSchema
* chore: Update @librechat/agentus npm dependency to version 1.2.1
* feat: first pass, actions
* refactor: empty schema for actions without params
* feat: Update createRun function to accept additional options
* fix: message payload formatting; feat: add more client options
* fix: ToolCall component rendering when action has no args but has output
* refactor(ToolCall): allow non-stringy args
* WIP: first pass, correctly formatted tool_calls between providers
* refactor: Remove duplicate import of 'roles' module
* refactor: Exclude 'vite.config.ts' from TypeScript compilation
* refactor: fix agent related types
> - no need to use endpoint/model fields for identifying agent metadata
> - add `provider` distinction for agent-configured 'endpoint'
- no need for agent-endpoint map
- reduce complexity of tools as functions into tools as string[]
- fix types related to above changes
- reduce unnecessary variables for queries/mutations and corresponding react-query keys
* refactor: Add tools and tool_kwargs fields to agent schema
* refactor: Remove unused code and update dependencies
* refactor: Update updateAgentHandler to use req.body directly
* refactor: Update AgentSelect component to use localized hooks
* refactor: Update agent schema to include tools and provider fields
* refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values
* refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent
* refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues
* refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only)
* refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string.
* refactor: TypeError issues and handle provider as option
* feat: Add placeholder for provider selection in AgentPanel component
* refactor: Update agent schema to include author and provider fields
* fix: show expected 'create agent' placeholder when creating agent
* chore: fix localization strings, hide capabilities form for now
* chore: typing
* refactor: import order and use compact agents schema for now
* chore: typing
* refactor: Update AgentForm type to use AgentCapabilities
* fix agent form agent selection issues
* feat: responsive agent selection
* fix: Handle cancelled fetch in useSelectAgent hook
* fix: reset agent form on accordion close/open
* feat: Add agent_id to default conversation for agents endpoint
* feat: agents endpoint request handling
* refactor: reset conversation model on agent select
* refactor: add `additional_instructions` to conversation schema, organize other fields
* chore: casing
* chore: types
* refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id
* WIP: initial draft of real agent client initialization
* WIP: first pass, anthropic agent requests
* feat: remember last selected agent
* feat: openai and azure connected
* fix: prioritize agent model for runs unless an explicit override model is passed from client
* feat: Agent Actions
* fix: save agent id to convo
* feat: model panel (#29)
* feat: model panel
* bring back comments
* fix: method still null
* fix: AgentPanel FormContext
* feat: add more parameters
* fix: style issues; refactor: Agent Controller
* fix: cherry-pick
* fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit
* feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters`
* feat: icon and general `model_parameters` update
* feat: use react-hook-form better
* fix: agent builder form reset issue when switching panels
* refactor: modularize agent builder form
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`.
* fix: tool call issues due to invalid input (anthropic) of empty string
* fix: handle empty text in Part component
---------
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig
* fix: Model Parameters not saved correctly
* refactor: remove console log
* feat: avatar upload and get for Agents (#36)
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* chore: update to public package
* fix: typing, optional chaining
* fix: cursor not showing for content parts
* chore: conditionally enable agents
* ci: fix azure test
* ci: fix frontend tests, fix eslint api
* refactor: Remove unused errorContentPart variable
* continue of the agent message PR (#40)
* last fixes
* fix: agentMap
* pr merge test (#41)
* fix: model icon not fetching correctly
* remove console logs
* feat: agent name
* refactor: pass documentsMap as a prop to allow re-render of assistant form
* refactor: pass documentsMap as a prop to allow re-render of assistant form
* chore: Bump version to 0.7.419
* fix: TypeError: Cannot read properties of undefined (reading 'id')
* refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox
---------
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* feat: gpt-4o-2024-08-06 pricing for tx
* feat: add AWS models to tokenValues in tx.js for pricing transactions
* feat: Update tokenValues in tx.js for AWS models pricing
* refactor: add bedrock prefix values as well (temporary until we update value keys which includes context)
* feat: `gpt-4o-mini`
* feat: retrival
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: add jsdoc
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* 🚀 feat: gpt-4o
* update readme.md
* feat: Add new test case for getMultiplier function
* feat: Refactor getMultiplier function to use valueKey variable
* refactor: checkVisionRequest, search availableModels for valid vision model instead of using default
* feat: install ollama-js, add typedefs
* feat: Ollama Vision Support
* ci: fix test
* 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
* WIP: gemini-1.5 support
* feat: extended vertex ai support
* fix: handle possibly undefined modelName
* fix: gpt-4-turbo-preview invalid vision model
* feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type
* feat: better truncation for errors including base64 strings
* fix: gemini inlineData formatting
* feat: RAG augmented prompt for gemini-1.5
* feat: gemini-1.5 rates and token window
* chore: adjust tokens, update docs, update vision Models
* chore: add back `ChatGoogleVertexAI` for chat models via vertex ai
* refactor: ask/edit controllers to not use `unfinished` field for google endpoint
* chore: remove comment
* chore(ci): fix AppService test
* chore: remove comment
* refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable
* chore: bump data-provider to 0.5.4
* chore: update docs
* fix: condition for gemini-1.5 using generative ai lib
* chore: update docs
* ci: add additional AppService test for `imageOutputType`
* refactor: optimize new config value `imageOutputType`
* chore: bump CONFIG_VERSION
* fix(assistants): avatar upload
* fix(processModelData): handle `openrouter/auto` edge case
* fix(Tx.create): prevent negative multiplier edge case and prevent balance from becoming negative
* fix(NavLinks): render 0 balance properly
* refactor(NavLinks): show only up to 2 decimal places for balance
* fix(OpenAIClient/titleConvo): fix cohere condition and record token usage for `this.options.titleMethod === 'completion'`
* chore: rename dir from `assistant` to plural
* feat: `assistants` field for azure config, spread options in AppService
* refactor: rename constructAzureURL param for azure as `azureOptions`
* chore: bump openai and bun
* chore(loadDefaultModels): change naming of assistant -> assistants
* feat: load azure settings with currect baseURL for assistants' initializeClient
* refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig
* feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled
* feat(AppService): determine assistant models on startup, throw Error if none
* refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations
* feat: support listing and deleting assistants with azure
* feat: add model query to assistant avatar upload
* feat: add azure support for retrieveRun method
* refactor: update OpenAIClient initialization
* chore: update README
* fix(ci): tests passing
* refactor(uploadOpenAIFile): improve logging and use more efficient REST API method
* refactor(useFileHandling): add model to metadata to target Azure region compatible with current model
* chore(files): add azure naming pattern for valid file id recognition
* fix(assistants): initialize openai with first available assistant model if none provided
* refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options
* refactor(sleep): move sleep function out of Runs and into `~/server/utils`
* fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled
* refactor(uploadOpenAIFile): revert to old method
* chore(uploadOpenAIFile): use enum for file purpose
* docs: azureOpenAI update guide with more info, examples
* feat: enable/disable assistant capabilities and specify retrieval models
* refactor: optional chain conditional statement in loadConfigModels.js
* docs: add assistants examples
* chore: update librechat.example.yaml
* docs(azure): update note of file upload behavior in Azure OpenAI Assistants
* chore: update docs and add descriptive message about assistant errors
* fix: prevent message submission with invalid assistant or if files loading
* style: update Landing icon & text when assistant is not selected
* chore: bump librechat-data-provider to 0.4.8
* fix(assistants/azure): assign req.body.model for proper azure init to abort runs
* chore: bump anthropic SDK
* chore: update anthropic config settings (fileSupport, default models)
* feat: anthropic multi modal formatting
* refactor: update vision models and use endpoint specific max long side resizing
* feat(anthropic): multimodal messages, retry logic, and messages payload
* chore: add more safety to trimming content due to whitespace error for assistant messages
* feat(anthropic): token accounting and resending multiple images in progress
* chore: bump data-provider
* feat(anthropic): resendImages feature
* chore: optimize Edit/Ask controllers, switch model back to req model
* fix: false positive of invalid model
* refactor(validateVisionModel): use object as arg, pass in additional/available models
* refactor(validateModel): use helper function, `getModelsConfig`
* feat: add modelsConfig to endpointOption so it gets passed to all clients, use for properly validating vision models
* refactor: initialize default vision model and make sure it's available before assigning it
* refactor(useSSE): avoid resetting model if user selected a new model between request and response
* feat: show rate in transaction logging
* fix: return tokenCountMap regardless of payload shape
* 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
* refactor(custom): add all recognized models to maxTokensMap for custom endpoint
* feat(librechat.yaml): log the custom config file on initial load
* fix(OpenAIClient): pass endpointType/endpoint to `getModelMaxTokens` call
* refactor(extractBaseURL): add handling for all possible Cloudflare AI Gateway endpoints
* chore: added endpointoption todo for updating type and optimizing handling app-wide
* feat(azureUtils):
- `genAzureChatCompletion`: allow optional client pass to update azure property
- `constructAzureURL`: optionally replace placeholders for instance and deployment names of an azure baseURL
- add tests for module
* refactor(extractBaseURL): return entire input when cloudflare `azure-openai` suffix detected
- also add more tests for both construct and extract URL
* refactor(genAzureChatCompletion): only allow omitting instance name if baseURL is not set
* refactor(initializeClient): determine `reverseProxyUrl` based on endpoint (azure or openai)
* refactor: utitlize `constructAzureURL` when `AZURE_OPENAI_BASEURL` is set
* docs: update docs on `AZURE_OPENAI_BASEURL`
* fix(ci): update expected error message for `azureUtils` tests
* fix(api): version mismatch between langchain packages `@langchain/google-genai` & `langchain`
* chore(loadYaml): silence config file not found error
* chore: improve firebase init message when not configured (generalized)
* fix(deploy-compose.yml): mount `librechat.yaml` config file
* 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
* refactor: only remove conversation states from localStorage on login/logout but not on refresh
* chore: add debugging log for azure completion url
* chore: add api-key to redact regex
* fix: do not show endpoint selector if endpoint is falsy
* chore: remove logger from genAzureChatCompletion
* feat(ci): mock fetchEventSource
* refactor(ci): mock all model methods in BaseClient.test, as well as mock the implementation for getCompletion in FakeClient
* fix(OpenAIClient): consider chatCompletion if model name includes `gpt` as opposed to `gpt-`
* fix(ChatGPTClient/azureOpenAI): Remove 'model' option for Azure compatibility (cannot be sent in payload body)
* feat(ci): write new test suite that significantly increase test coverage for OpenAIClient and BaseClient by covering most of the real implementation of the `sendMessage` method
- test for the azure edge case where model option is appended to modelOptions, ensuring removal before sent to the azure endpoint
- test for expected azure url being passed to SSE POST request
- test for AZURE_OPENAI_DEFAULT_MODEL being set, but is not included in the URL deployment name as expected
- test getCompletion method to have correct payload
fix(ci/OpenAIClient.test.js): correctly mock hanging/async methods
* refactor(addTitle): allow azure to title as it aborts signal on completion
* refactor: add gemini-pro to google Models list; use defaultModels for central model listing
* refactor(SetKeyDialog): create useMultipleKeys hook to use for Azure, export `isJson` from utils, use EModelEndpoint
* refactor(useUserKey): change variable names to make keyName setting more clear
* refactor(FileUpload): allow passing container className string
* feat(GoogleClient): Gemini support
* refactor(GoogleClient): alternate stream speed for Gemini models
* feat(Gemini): styling/settings configuration for Gemini
* refactor(GoogleClient): substract max response tokens from max context tokens if context is above 32k (I/O max is combined between the two)
* refactor(tokens): correct google max token counts and subtract max response tokens when input/output count are combined towards max context count
* feat(google/initializeClient): handle both local and user_provided credentials and write tests
* fix(GoogleClient): catch if credentials are undefined, handle if serviceKey is string or object correctly, handle no examples passed, throw error if not a Generative Language model and no service account JSON key is provided, throw error if it is a Generative m
odel, but not google API key was provided
* refactor(loadAsyncEndpoints/google): activate Google endpoint if either the service key JSON file is provided in /api/data, or a GOOGLE_KEY is defined.
* docs: updated Google configuration
* fix(ci): Mock import of Service Account Key JSON file (auth.json)
* Update apis_and_tokens.md
* feat: increase max output tokens slider for gemini pro
* refactor(GoogleSettings): handle max and default maxOutputTokens on model change
* chore: add sensitive redact regex
* docs: add warning about data privacy
* Update apis_and_tokens.md
* WIP: initial logging changes
add several transports in ~/config/winston
omit messages in logs, truncate long strings
add short blurb in dotenv for debug logging
GoogleClient: using logger
OpenAIClient: using logger, handleOpenAIErrors
Adding typedef for payload message
bumped winston and using winston-daily-rotate-file
moved config for server paths to ~/config dir
Added `DEBUG_LOGGING=true` to .env.example
* WIP: Refactor logging statements in code
* WIP: Refactor logging statements and import configurations
* WIP: Refactor logging statements and import configurations
* refactor: broadcast Redis initialization message with `info` not `debug`
* refactor: complete Refactor logging statements and import configurations
* chore: delete unused tools
* fix: circular dependencies due to accessing logger
* refactor(handleText): handle booleans and write tests
* refactor: redact sensitive values, better formatting
* chore: improve log formatting, avoid passing strings to 2nd arg
* fix(ci): fix jest tests due to logger changes
* refactor(getAvailablePluginsController): cache plugins as they are static and avoids async addOpenAPISpecs call every time
* chore: update docs
* chore: update docs
* chore: create separate meiliSync logger, clean up logs to avoid being unnecessarily verbose
* chore: spread objects where they are commonly logged to allow string truncation
* chore: improve error log formatting
* chore: bump vite, vitejs/plugin-react, mark client package as esm, move react-query as a peer dep in data-provider
* chore: import changes due to new data-provider export strategy, also fix type imports where applicable
* chore: export react-query services as separate to avoid react dependencies in /api/
* chore: suppress sourcemap warnings and polyfill node:path which is used by filenamify
TODO: replace filenamify with an alternative and REMOVE polyfill
* chore: /api/ changes to support `librechat-data-provider`
* refactor: rewrite Dockerfile.multi in light of /api/ changes to support `librechat-data-provider`
* chore: remove volume mapping to node_modules directories in default compose file
* chore: remove schemas from /api/ as is no longer needed with use of `librechat-data-provider`
* fix(ci): jest `librechat-data-provider/react-query` module resolution
* feat: update PaLM icons
* feat: add additional google models
* POC: formatting inputs for Vertex AI streaming
* refactor: move endpoints services outside of /routes dir to /services/Endpoints
* refactor: shorten schemas import
* refactor: rename PALM to GOOGLE
* feat: make Google editable endpoint
* feat: reusable Ask and Edit controllers based off Anthropic
* chore: organize imports/logic
* fix(parseConvo): include examples in googleSchema
* fix: google only allows odd number of messages to be sent
* fix: pass proxy to AnthropicClient
* refactor: change `google` altName to `Google`
* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values
* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)
* feat: google support for maxTokensMap
* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient
* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain
* chore(GoogleClient): remove comments, left before for reference in git history
* docs: update google instructions (WIP)
* docs(apis_and_tokens.md): add images to google instructions
* docs: remove typo apis_and_tokens.md
* Update apis_and_tokens.md
* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models
* chore: update more PaLM references to Google
* chore: move playwright out of workflows to avoid failing tests
* fix: correct preset title for Anthropic endpoint
* fix(Settings/Anthropic): show correct default value for LLM temperature
* fix(AnthropicClient): use `getModelMaxTokens` to get the correct LLM max context tokens, correctly set default temperature to 1, use only 2 params for class constructor, use `getResponseSender` to add correct sender to response message
* refactor(/api/ask|edit/anthropic): save messages to database after the final response is sent to the client, and do not save conversation from route controller
* fix(initializeClient/anthropic): correctly pass client options (endpointOption) to class initialization
* feat(ModelService/Anthropic): add claude-1.2
