* feat: add claude-3-haiku-20240307 to default anthropic list
* refactor: optimize `saveMessage` calls mid-stream via throttling
* chore: remove addMetadata operations and consolidate in BaseClient
* fix(listAssistantsForAzure): attempt to specify correct model mapping as accurately as possible (#2177)
* refactor(client): update last conversation setup with current assistant model, call newConvo again when assistants load to allow fast initial load and ensure assistant model is always the default, not the last selected model
* refactor(cache): explicitly add TTL of 2 minutes when setting titleCache and add default TTL of 10 minutes to abortKeys cache
* feat(AnthropicClient): conversation titling using Anthropic Function Calling
* chore: remove extraneous token usage logging
* fix(convos): unhandled edge case for conversation grouping (undefined conversation)
* style: Improved style of Search Bar after recent UI update
* chore: remove unused code, content part helpers
* feat: always show code option
* Style: Infinite Scroll and Group convos by date
* Style: Infinite Scroll and Group convos by date- Redesign NavBar
* Style: Infinite Scroll and Group convos by date- Redesign NavBar - Clean code
* Style: Infinite Scroll and Group convos by date- Redesign NavBar - Redesign NewChat Component
* Style: Infinite Scroll and Group convos by date- Redesign NavBar - Redesign NewChat Component
* Style: Infinite Scroll and Group convos by date- Redesign NavBar - Redesign NewChat Component
* Including OpenRouter and Mistral icon
* refactor(Conversations): cleanup use of utility functions and typing
* refactor(Nav/NewChat): use localStorage `lastConversationSetup` to determine the endpoint to use, as well as icons -> JSX components, remove use of `endpointSelected`
* refactor: remove use of `isFirstToday`
* refactor(Nav): remove use of `endpointSelected`, consolidate scrolling logic to its own hook `useNavScrolling`, remove use of recoil `conversation`
* refactor: Add spinner to bottom of list, throttle fetching, move query hooks to client workspace
* chore: sort by `updatedAt` field
* refactor: optimize conversation infinite query, use optimistic updates, add conversation helpers for managing pagination, remove unnecessary operations
* feat: gen_title route for generating the title for the conversation
* style(Convo): change hover bg-color
* refactor: memoize groupedConversations and return as array of tuples, correctly update convos pre/post message stream, only call genTitle if conversation is new, make `addConversation` dynamically either add/update depending if convo exists in pages already, reorganize type definitions
* style: rename Header NewChat Button -> HeaderNewChat, add NewChatIcon, closely match main Nav New Chat button to ChatGPT
* style(NewChat): add hover bg color
* style: cleanup comments, match ChatGPT nav styling, redesign search bar, make part of new chat sticky header, move Nav under same parent as outlet/mobilenav, remove legacy code, search only if searchQuery is not empty
* feat: add tests for conversation helpers and ensure no duplicate conversations are ever grouped
* style: hover bg-color
* feat: alt-click on convo item to open conversation in new tab
* chore: send error message when `gen_title` fails
---------
Co-authored-by: Walber Cardoso <walbercardoso@gmail.com>
* 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
* 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
2023-12-10 14:54:13 -05:00
Renamed from api/server/routes/endpoints/openAI/addTitle.js (Browse further)
