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https://github.com/danny-avila/LibreChat.git
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3 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Danny Avila
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0e50c07e3f
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🤖 feat: Model Specs & Save Tools per Convo/Preset (#2578)
* 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 |
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Danny Avila
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d6d3d2ba13
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🔧 fix: langchain packages mismatch, mount config file for deploy-compose.yaml, silence config not found error (#1481)
* 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 |
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Danny Avila
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29473a72db
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💫 feat: Config File & Custom Endpoints (#1474)
* 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 |