LibreChat/api/server/services/Endpoints/openAI/initialize.js

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🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
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const {
ErrorTypes,
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
EModelEndpoint,
resolveHeaders,
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * 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
2024-03-14 17:21:42 -04:00
mapModelToAzureConfig,
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
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} = require('librechat-data-provider');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
const { getLLMConfig } = require('~/server/services/Endpoints/openAI/llm');
const { isEnabled, isUserProvided } = require('~/server/utils');
const { getAzureCredentials } = require('~/utils');
const { OpenAIClient } = require('~/app');
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
2023-08-17 12:50:05 -04:00
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
const initializeClient = async ({
req,
res,
endpointOption,
optionsOnly,
overrideEndpoint,
overrideModel,
}) => {
feat: ConversationSummaryBufferMemory (#973) * refactor: pass model in message edit payload, use encoder in standalone util function * feat: add summaryBuffer helper * refactor(api/messages): use new countTokens helper and add auth middleware at top * wip: ConversationSummaryBufferMemory * refactor: move pre-generation helpers to prompts dir * chore: remove console log * chore: remove test as payload will no longer carry tokenCount * chore: update getMessagesWithinTokenLimit JSDoc * refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests * refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message * chore: add newer model to token map * fix: condition was point to prop of array instead of message prop * refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present * chore: log previous_summary if debugging * refactor(formatMessage): assume if role is defined that it's a valid value * refactor(getMessagesWithinTokenLimit): remove summary logic refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic * fix: undefined handling and summarizing only when shouldRefineContext is true * chore(BaseClient): fix test results omitting system role for summaries and test edge case * chore: export summaryBuffer from index file * refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer * feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine' * refactor: rename refineMessages method to summarizeMessages for clarity * chore: clarify summary future intent in .env.example * refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed * feat(gptPlugins): enable summarization for plugins * refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner * refactor(agents): use ConversationSummaryBufferMemory for both agent types * refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests * refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers * fix: forgot to spread formatMessages also took opportunity to pluralize filename * refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing * ci(formatMessages): add more exhaustive checks for langchain messages * feat: add debug env var for OpenAI * chore: delete unnecessary comments * chore: add extra note about summary feature * fix: remove tokenCount from payload instructions * fix: test fail * fix: only pass instructions to payload when defined or not empty object * refactor: fromPromptMessages is deprecated, use renamed method fromMessages * refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility * fix(PluginsClient.buildPromptBody): handle undefined message strings * chore: log langchain titling error * feat: getModelMaxTokens helper * feat: tokenSplit helper * feat: summary prompts updated * fix: optimize _CUT_OFF_SUMMARIZER prompt * refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context * fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context, refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning * fix(handleContextStrategy): handle case where incoming prompt is bigger than model context * chore: rename refinedContent to splitText * chore: remove unnecessary debug log
2023-09-26 21:02:28 -04:00
const {
PROXY,
OPENAI_API_KEY,
AZURE_API_KEY,
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
feat: ConversationSummaryBufferMemory (#973) * refactor: pass model in message edit payload, use encoder in standalone util function * feat: add summaryBuffer helper * refactor(api/messages): use new countTokens helper and add auth middleware at top * wip: ConversationSummaryBufferMemory * refactor: move pre-generation helpers to prompts dir * chore: remove console log * chore: remove test as payload will no longer carry tokenCount * chore: update getMessagesWithinTokenLimit JSDoc * refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests * refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message * chore: add newer model to token map * fix: condition was point to prop of array instead of message prop * refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present * chore: log previous_summary if debugging * refactor(formatMessage): assume if role is defined that it's a valid value * refactor(getMessagesWithinTokenLimit): remove summary logic refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic * fix: undefined handling and summarizing only when shouldRefineContext is true * chore(BaseClient): fix test results omitting system role for summaries and test edge case * chore: export summaryBuffer from index file * refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer * feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine' * refactor: rename refineMessages method to summarizeMessages for clarity * chore: clarify summary future intent in .env.example * refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed * feat(gptPlugins): enable summarization for plugins * refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner * refactor(agents): use ConversationSummaryBufferMemory for both agent types * refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests * refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers * fix: forgot to spread formatMessages also took opportunity to pluralize filename * refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing * ci(formatMessages): add more exhaustive checks for langchain messages * feat: add debug env var for OpenAI * chore: delete unnecessary comments * chore: add extra note about summary feature * fix: remove tokenCount from payload instructions * fix: test fail * fix: only pass instructions to payload when defined or not empty object * refactor: fromPromptMessages is deprecated, use renamed method fromMessages * refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility * fix(PluginsClient.buildPromptBody): handle undefined message strings * chore: log langchain titling error * feat: getModelMaxTokens helper * feat: tokenSplit helper * feat: summary prompts updated * fix: optimize _CUT_OFF_SUMMARIZER prompt * refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context * fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context, refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning * fix(handleContextStrategy): handle case where incoming prompt is bigger than model context * chore: rename refinedContent to splitText * chore: remove unnecessary debug log
2023-09-26 21:02:28 -04:00
OPENAI_SUMMARIZE,
DEBUG_OPENAI,
} = process.env;
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
const { key: expiresAt } = req.body;
const modelName = overrideModel ?? req.body.model;
const endpoint = overrideEndpoint ?? req.body.endpoint;
feat: ConversationSummaryBufferMemory (#973) * refactor: pass model in message edit payload, use encoder in standalone util function * feat: add summaryBuffer helper * refactor(api/messages): use new countTokens helper and add auth middleware at top * wip: ConversationSummaryBufferMemory * refactor: move pre-generation helpers to prompts dir * chore: remove console log * chore: remove test as payload will no longer carry tokenCount * chore: update getMessagesWithinTokenLimit JSDoc * refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests * refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message * chore: add newer model to token map * fix: condition was point to prop of array instead of message prop * refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present * chore: log previous_summary if debugging * refactor(formatMessage): assume if role is defined that it's a valid value * refactor(getMessagesWithinTokenLimit): remove summary logic refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic * fix: undefined handling and summarizing only when shouldRefineContext is true * chore(BaseClient): fix test results omitting system role for summaries and test edge case * chore: export summaryBuffer from index file * refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer * feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine' * refactor: rename refineMessages method to summarizeMessages for clarity * chore: clarify summary future intent in .env.example * refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed * feat(gptPlugins): enable summarization for plugins * refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner * refactor(agents): use ConversationSummaryBufferMemory for both agent types * refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests * refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers * fix: forgot to spread formatMessages also took opportunity to pluralize filename * refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing * ci(formatMessages): add more exhaustive checks for langchain messages * feat: add debug env var for OpenAI * chore: delete unnecessary comments * chore: add extra note about summary feature * fix: remove tokenCount from payload instructions * fix: test fail * fix: only pass instructions to payload when defined or not empty object * refactor: fromPromptMessages is deprecated, use renamed method fromMessages * refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility * fix(PluginsClient.buildPromptBody): handle undefined message strings * chore: log langchain titling error * feat: getModelMaxTokens helper * feat: tokenSplit helper * feat: summary prompts updated * fix: optimize _CUT_OFF_SUMMARIZER prompt * refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context * fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context, refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning * fix(handleContextStrategy): handle case where incoming prompt is bigger than model context * chore: rename refinedContent to splitText * chore: remove unnecessary debug log
2023-09-26 21:02:28 -04:00
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
const credentials = {
[EModelEndpoint.openAI]: OPENAI_API_KEY,
[EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
};
const baseURLOptions = {
[EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
[EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
};
const userProvidesKey = isUserProvided(credentials[endpoint]);
const userProvidesURL = isUserProvided(baseURLOptions[endpoint]);
let userValues = null;
if (expiresAt && (userProvidesKey || userProvidesURL)) {
checkUserKeyExpiry(expiresAt, endpoint);
userValues = await getUserKeyValues({ userId: req.user.id, name: endpoint });
}
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
2023-08-17 12:50:05 -04:00
const clientOptions = {
feat: ConversationSummaryBufferMemory (#973) * refactor: pass model in message edit payload, use encoder in standalone util function * feat: add summaryBuffer helper * refactor(api/messages): use new countTokens helper and add auth middleware at top * wip: ConversationSummaryBufferMemory * refactor: move pre-generation helpers to prompts dir * chore: remove console log * chore: remove test as payload will no longer carry tokenCount * chore: update getMessagesWithinTokenLimit JSDoc * refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests * refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message * chore: add newer model to token map * fix: condition was point to prop of array instead of message prop * refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present * chore: log previous_summary if debugging * refactor(formatMessage): assume if role is defined that it's a valid value * refactor(getMessagesWithinTokenLimit): remove summary logic refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic * fix: undefined handling and summarizing only when shouldRefineContext is true * chore(BaseClient): fix test results omitting system role for summaries and test edge case * chore: export summaryBuffer from index file * refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer * feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine' * refactor: rename refineMessages method to summarizeMessages for clarity * chore: clarify summary future intent in .env.example * refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed * feat(gptPlugins): enable summarization for plugins * refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner * refactor(agents): use ConversationSummaryBufferMemory for both agent types * refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests * refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers * fix: forgot to spread formatMessages also took opportunity to pluralize filename * refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing * ci(formatMessages): add more exhaustive checks for langchain messages * feat: add debug env var for OpenAI * chore: delete unnecessary comments * chore: add extra note about summary feature * fix: remove tokenCount from payload instructions * fix: test fail * fix: only pass instructions to payload when defined or not empty object * refactor: fromPromptMessages is deprecated, use renamed method fromMessages * refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility * fix(PluginsClient.buildPromptBody): handle undefined message strings * chore: log langchain titling error * feat: getModelMaxTokens helper * feat: tokenSplit helper * feat: summary prompts updated * fix: optimize _CUT_OFF_SUMMARIZER prompt * refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context * fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context, refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning * fix(handleContextStrategy): handle case where incoming prompt is bigger than model context * chore: rename refinedContent to splitText * chore: remove unnecessary debug log
2023-09-26 21:02:28 -04:00
contextStrategy,
refactor: Encrypt & Expire User Provided Keys, feat: Rate Limiting (#874) * docs: make_your_own.md formatting fix for mkdocs * feat: add express-mongo-sanitize feat: add login/registration rate limiting * chore: remove unnecessary console log * wip: remove token handling from localStorage to encrypted DB solution * refactor: minor change to UserService * fix mongo query and add keys route to server * fix backend controllers and simplify schema/crud * refactor: rename token to key to separate from access/refresh tokens, setTokenDialog -> setKeyDialog * refactor(schemas): TEndpointOption token -> key * refactor(api): use new encrypted key retrieval system * fix(SetKeyDialog): fix key prop error * fix(abortMiddleware): pass random UUID if messageId is not generated yet for proper error display on frontend * fix(getUserKey): wrong prop passed in arg, adds error handling * fix: prevent message without conversationId from saving to DB, prevents branching on the frontend to a new top-level branch * refactor: change wording of multiple display messages * refactor(checkExpiry -> checkUserKeyExpiry): move to UserService file * fix: type imports from common * refactor(SubmitButton): convert to TS * refactor(key.ts): change localStorage map key name * refactor: add new custom tailwind classes to better match openAI colors * chore: remove unnecessary warning and catch ScreenShot error * refactor: move userKey frontend logic to hooks and remove use of localStorage and instead query the DB * refactor: invalidate correct query key, memoize userKey hook, conditionally render SetKeyDialog to avoid unnecessary calls, refactor SubmitButton props and useEffect for showing 'provide key first' * fix(SetKeyDialog): use enum-like object for expiry values feat(Dropdown): add optionsClassName to dynamically change dropdown options container classes * fix: handle edge case where user had provided a key but the server changes to env variable for keys * refactor(OpenAI/titleConvo): move titling to client to retain authorized credentials in message lifecycle for titling * fix(azure): handle user_provided keys correctly for azure * feat: send user Id to OpenAI to differentiate users in completion requests * refactor(OpenAI/titleConvo): adding tokens helps minimize LLM from using the language in title response * feat: add delete endpoint for keys * chore: remove throttling of title * feat: add 'Data controls' to Settings, add 'Revoke' keys feature in Key Dialog and Data controls * refactor: reorganize PluginsClient files in langchain format * feat: use langchain for titling convos * chore: cleanup titling convo, with fallback to original method, escape braces, use only snippet for language detection * refactor: move helper functions to appropriate langchain folders for reusability * fix: userProvidesKey handling for gptPlugins * fix: frontend handling of plugins key * chore: cleanup logging and ts-ignore SSE * fix: forwardRef misuse in DangerButton * fix(GoogleConfig/FileUpload): localize errors and simplify validation with zod * fix: cleanup google logging and fix user provided key handling * chore: remove titling from google * chore: removing logging from browser endpoint * wip: fix menu flicker * feat: useLocalStorage hook * feat: add Tooltip for UI * refactor(EndpointMenu): utilize Tooltip and useLocalStorage, remove old 'New Chat' slide-over * fix(e2e): use testId for endpoint menu trigger * chore: final touches to EndpointMenu before future refactor to declutter component * refactor(localization): change select endpoint to open menu and add translations * chore: add final prop to error message response * ci: minor edits to facilitate testing * ci: new e2e test which tests for new key setting/revoking features
2023-09-06 10:46:27 -04:00
proxy: PROXY ?? null,
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
debug: isEnabled(DEBUG_OPENAI),
reverseProxyUrl: baseURL ? baseURL : null,
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
2023-08-17 12:50:05 -04:00
...endpointOption,
};
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
const isAzureOpenAI = endpoint === EModelEndpoint.azureOpenAI;
/** @type {false | TAzureConfig} */
const azureConfig = isAzureOpenAI && req.app.locals[EModelEndpoint.azureOpenAI];
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
if (isAzureOpenAI && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless,
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
const azureRate = modelName.includes('gpt-4') ? 30 : 17;
clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
const groupName = modelGroupMap[modelName].group;
clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
apiKey = azureOptions.azureOpenAIApiKey;
clientOptions.azure = !serverless && azureOptions;
🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * 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
2024-02-26 14:12:25 -05:00
} else if (isAzureOpenAI) {
clientOptions.azure = userProvidesKey ? JSON.parse(userValues.apiKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}
refactor: Encrypt & Expire User Provided Keys, feat: Rate Limiting (#874) * docs: make_your_own.md formatting fix for mkdocs * feat: add express-mongo-sanitize feat: add login/registration rate limiting * chore: remove unnecessary console log * wip: remove token handling from localStorage to encrypted DB solution * refactor: minor change to UserService * fix mongo query and add keys route to server * fix backend controllers and simplify schema/crud * refactor: rename token to key to separate from access/refresh tokens, setTokenDialog -> setKeyDialog * refactor(schemas): TEndpointOption token -> key * refactor(api): use new encrypted key retrieval system * fix(SetKeyDialog): fix key prop error * fix(abortMiddleware): pass random UUID if messageId is not generated yet for proper error display on frontend * fix(getUserKey): wrong prop passed in arg, adds error handling * fix: prevent message without conversationId from saving to DB, prevents branching on the frontend to a new top-level branch * refactor: change wording of multiple display messages * refactor(checkExpiry -> checkUserKeyExpiry): move to UserService file * fix: type imports from common * refactor(SubmitButton): convert to TS * refactor(key.ts): change localStorage map key name * refactor: add new custom tailwind classes to better match openAI colors * chore: remove unnecessary warning and catch ScreenShot error * refactor: move userKey frontend logic to hooks and remove use of localStorage and instead query the DB * refactor: invalidate correct query key, memoize userKey hook, conditionally render SetKeyDialog to avoid unnecessary calls, refactor SubmitButton props and useEffect for showing 'provide key first' * fix(SetKeyDialog): use enum-like object for expiry values feat(Dropdown): add optionsClassName to dynamically change dropdown options container classes * fix: handle edge case where user had provided a key but the server changes to env variable for keys * refactor(OpenAI/titleConvo): move titling to client to retain authorized credentials in message lifecycle for titling * fix(azure): handle user_provided keys correctly for azure * feat: send user Id to OpenAI to differentiate users in completion requests * refactor(OpenAI/titleConvo): adding tokens helps minimize LLM from using the language in title response * feat: add delete endpoint for keys * chore: remove throttling of title * feat: add 'Data controls' to Settings, add 'Revoke' keys feature in Key Dialog and Data controls * refactor: reorganize PluginsClient files in langchain format * feat: use langchain for titling convos * chore: cleanup titling convo, with fallback to original method, escape braces, use only snippet for language detection * refactor: move helper functions to appropriate langchain folders for reusability * fix: userProvidesKey handling for gptPlugins * fix: frontend handling of plugins key * chore: cleanup logging and ts-ignore SSE * fix: forwardRef misuse in DangerButton * fix(GoogleConfig/FileUpload): localize errors and simplify validation with zod * fix: cleanup google logging and fix user provided key handling * chore: remove titling from google * chore: removing logging from browser endpoint * wip: fix menu flicker * feat: useLocalStorage hook * feat: add Tooltip for UI * refactor(EndpointMenu): utilize Tooltip and useLocalStorage, remove old 'New Chat' slide-over * fix(e2e): use testId for endpoint menu trigger * chore: final touches to EndpointMenu before future refactor to declutter component * refactor(localization): change select endpoint to open menu and add translations * chore: add final prop to error message response * ci: minor edits to facilitate testing * ci: new e2e test which tests for new key setting/revoking features
2023-09-06 10:46:27 -04:00
/** @type {undefined | TBaseEndpoint} */
const openAIConfig = req.app.locals[EModelEndpoint.openAI];
if (!isAzureOpenAI && openAIConfig) {
clientOptions.streamRate = openAIConfig.streamRate;
}
/** @type {undefined | TBaseEndpoint} */
const allConfig = req.app.locals.all;
if (allConfig) {
clientOptions.streamRate = allConfig.streamRate;
}
if (userProvidesKey & !apiKey) {
throw new Error(
JSON.stringify({
type: ErrorTypes.NO_USER_KEY,
}),
);
}
if (!apiKey) {
throw new Error(`${endpoint} API Key not provided.`);
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
2023-08-17 12:50:05 -04:00
}
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
if (optionsOnly) {
const requestOptions = Object.assign(
{
modelOptions: endpointOption.model_parameters,
🚧 chore: merge latest dev build to main repo (#3844) * 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>
2024-08-31 16:33:51 -04:00
},
clientOptions,
);
return getLLMConfig(apiKey, requestOptions);
}
const client = new OpenAIClient(apiKey, Object.assign({ req, res }, clientOptions));
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
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return {
client,
openAIApiKey: apiKey,
feat(GPT/Anthropic): Continue Regenerating & Generation Buttons (#808) * feat(useMessageHandler.js/ts): Refactor and add features to handle user messages, support multiple endpoints/models, generate placeholder responses, regeneration, and stopGeneration function fix(conversation.ts, buildTree.ts): Import TMessage type, handle null parentMessageId feat(schemas.ts): Update and add schemas for various AI services, add default values, optional fields, and endpoint-to-schema mapping, create parseConvo function chore(useMessageHandler.js, schemas.ts): Remove unused imports, variables, and chatGPT enum * wip: add generation buttons * refactor(cleanupPreset.ts): simplify cleanupPreset function refactor(getDefaultConversation.js): remove unused code and simplify getDefaultConversation function feat(utils): add getDefaultConversation function This commit adds a new utility function called `getDefaultConversation` to the `client/src/utils/getDefaultConversation.ts` file. This function is responsible for generating a default conversation object based on the provided parameters. The `getDefaultConversation` function takes in an object with the following properties: - `conversation`: The conversation object to be used as a base. - `endpointsConfig`: The configuration object containing information about the available endpoints. - `preset`: An optional preset object that can be used to override the default behavior. The function first tries to determine the target endpoint based on the preset object. If a valid endpoint is found, it is used as the target endpoint. If not, the function tries to retrieve the last conversation setup from the local storage and uses its endpoint if it is valid. If neither the preset nor the local storage contains a valid endpoint, the function falls back to a default endpoint. Once the target endpoint is determined, * fix(utils): remove console.error statement in buildDefaultConversation function fix(schemas): add default values for catch blocks in openAISchema, googleSchema, bingAISchema, anthropicSchema, chatGPTBrowserSchema, and gptPluginsSchema * fix: endpoint not changing on change of preset from other endpoint, wip: refactor * refactor: preset items to TSX * refactor: convert resetConvo to TS * refactor(getDefaultConversation.ts): move defaultEndpoints array to the top of the file for better readability refactor(getDefaultConversation.ts): extract getDefaultEndpoint function for better code organization and reusability * feat(svg): add ContinueIcon component feat(svg): add RegenerateIcon component feat(svg): add ContinueIcon and RegenerateIcon components to index.ts * feat(Button.tsx): add onClick and className props to Button component feat(GenerationButtons.tsx): add logic to display Regenerate or StopGenerating button based on isSubmitting and messages feat(Regenerate.tsx): create Regenerate component with RegenerateIcon and handleRegenerate function feat(StopGenerating.tsx): create StopGenerating component with StopGeneratingIcon and handleStopGenerating function * fix(TextChat.jsx): reorder imports and variables for better readability fix(TextChat.jsx): fix typo in condition for isNotAppendable variable fix(TextChat.jsx): remove unused handleStopGenerating function fix(ContinueIcon.tsx): remove unnecessary closing tags for polygon elements fix(useMessageHandler.ts): add missing type annotations for handleStopGenerating and handleRegenerate functions fix(useMessageHandler.ts): remove unused variables in return statement * fix(getDefaultConversation.ts): refactor code to use getLocalStorageItems function feat(getLocalStorageItems.ts): add utility function to retrieve items from local storage * fix(OpenAIClient.js): add support for streaming result in sendCompletion method feat(OpenAIClient.js): add finish_reason metadata to opts in sendCompletion method feat(Message.js): add finish_reason field to Message model feat(messageSchema.js): add finish_reason field to messageSchema feat(openAI.js): parse chatGptLabel and promptPrefix from req.body and pass rest of the modelOptions to endpointOption feat(openAI.js): add addMetadata function to store metadata in ask function feat(openAI.js): add metadata to response if available feat(schemas.ts): add finish_reason field to tMessageSchema * feat(types.ts): add TOnClick and TGenButtonProps types for button components feat(Continue.tsx): create Continue component for generating button feat(GenerationButtons.tsx): update GenerationButtons component to use Continue component feat(Regenerate.tsx): create Regenerate component for regenerating button feat(Stop.tsx): create Stop component for stop generating button * feat(MessageHandler.jsx): add MessageHandler component to handle messages and conversations fix(Root.jsx): fix import paths for Nav and MessageHandler components * feat(useMessageHandler.ts): add support for generation parameter in ask function feat(useMessageHandler.ts): add support for isEdited parameter in ask function feat(useMessageHandler.ts): add support for continueGeneration function fix(createPayload.ts): replace endpoint URL when isEdited parameter is true * chore(client): set skipLibCheck to true in tsconfig.json * fix(useMessageHandler.ts): remove unused clientId variable fix(schemas.ts): make clientId field in tMessageSchema nullable and optional * wip: edit route for continue generation * refactor(api): move handlers to root of routes dir * fix(useMessageHandler.ts): initialize currentMessages to an empty array if messages is null fix(useMessageHandler.ts): update initialResponse text to use responseText variable fix(useMessageHandler.ts): update setMessages logic for isRegenerate case fix(MessageHandler.jsx): update setMessages logic for cancelHandler, createdHandler, and finalHandler * fix(schemas.ts): make createdAt and updatedAt fields optional and set default values using new Date().toISOString() fix(schemas.ts): change type annotation of TMessage from infer to input * refactor(useMessageHandler.ts): rename AskProps type to TAskProps refactor(useMessageHandler.ts): remove generation property from ask function arguments refactor(useMessageHandler.ts): use nullish coalescing operator (??) instead of logical OR (||) refactor(useMessageHandler.ts): pass the responseMessageId to message prop of submission * fix(BaseClient.js): use nullish coalescing operator (??) instead of logical OR (||) for default values * fix(BaseClient.js): fix responseMessageId assignment in handleStartMethods method feat(BaseClient.js): add support for isEdited flag in sendMessage method feat(BaseClient.js): add generation to responseMessage text in sendMessage method * fix(openAI.js): remove unused imports and commented out code feat(openAI.js): add support for generation parameter in request body fix(openAI.js): remove console.log statement fix(openAI.js): remove unused variables and parameters fix(openAI.js): update response text in case of error fix(openAI.js): handle error and abort message in case of error fix(handlers.js): add generation parameter to createOnProgress function fix(useMessageHandler.ts): update responseText variable to use generation parameter * refactor(api/middleware): move inside server dir * refactor: add endpoint specific, modular functions to build options and initialize clients, create server/utils, move middleware, separate utils into api general utils and server specific utils * fix(abortMiddleware.js): import getConvo and getConvoTitle functions from models feat(abortMiddleware.js): add abortAsk function to abortController to handle aborting of requests fix(openAI.js): import buildOptions and initializeClient functions from endpoints/openAI refactor(openAI.js): use getAbortData function to get data for abortAsk function * refactor: move endpoint specific logic to an endpoints dir * refactor(PluginService.js): fix import path for encrypt and decrypt functions in PluginService.js * feat(openAI): add new endpoint for adding a title to a conversation - Added a new file `addTitle.js` in the `api/server/routes/endpoints/openAI` directory. - The `addTitle.js` file exports a function `addTitle` that takes in request parameters and performs the following actions: - If the `parentMessageId` is `'00000000-0000-0000-0000-000000000000'` and `newConvo` is true, it proceeds with the following steps: - Calls the `titleConvo` function from the `titleConvo` module, passing in the necessary parameters. - Calls the `saveConvo` function from the `saveConvo` module, passing in the user ID and conversation details. - Updated the `index.js` file in the `api/server/routes/endpoints/openAI` directory to export the `addTitle` function. - This change adds * fix(abortMiddleware.js): remove console.log statement refactor(gptPlugins.js): update imports and function parameters feat(gptPlugins.js): add support for abortController and getAbortData refactor(openAI.js): update imports and function parameters feat(openAI.js): add support for abortController and getAbortData fix(openAI.js): refactor code to use modularized functions and middleware fix(buildOptions.js): refactor code to use destructuring and update variable names * refactor(askChatGPTBrowser.js, bingAI.js, google.js): remove duplicate code for setting response headers feat(askChatGPTBrowser.js, bingAI.js, google.js): add setHeaders middleware to set response headers * feat(middleware): validateEndpoint, refactor buildOption to only be concerned of endpointOption * fix(abortMiddleware.js): add 'finish_reason' property with value 'incomplete' to responseMessage object fix(abortMessage.js): remove console.log statement for aborted message fix(handlers.js): modify tokens assignment to handle empty generation string and trailing space * fix(BaseClient.js): import addSpaceIfNeeded function from server/utils fix(BaseClient.js): add space before generation in text property fix(index.js): remove getCitations and citeText exports feat(buildEndpointOption.js): add buildEndpointOption middleware fix(index.js): import buildEndpointOption middleware fix(anthropic.js): remove buildOptions function and use endpointOption from req.body fix(gptPlugins.js): remove buildOptions function and use endpointOption from req.body fix(openAI.js): remove buildOptions function and use endpointOption from req.body feat(utils): add citations.js and handleText.js modules fix(utils): fix import statements in index.js module * refactor(gptPlugins.js): use getResponseSender function from librechat-data-provider * feat(gptPlugins): complete 'continue generating' * wip: anthropic continue regen * feat(middleware): add validateRegistration middleware A new middleware function called `validateRegistration` has been added to the list of exported middleware functions in `index.js`. This middleware is responsible for validating registration data before allowing the registration process to proceed. * feat(Anthropic): complete continue regen * chore: add librechat-data-provider to api/package.json * fix(ci): backend-review will mock meilisearch, also installs data-provider as now needed * chore(ci): remove unneeded SEARCH env var * style(GenerationButtons): make text shorter for sake of space economy, even though this diverges from chat.openai.com * style(GenerationButtons/ScrollToBottom): adjust visibility/position based on screen size * chore(client): 'Editting' typo * feat(GenerationButtons.tsx): add support for endpoint prop in GenerationButtons component feat(OptionsBar.tsx): pass endpoint prop to GenerationButtons component feat(useGenerations.ts): create useGenerations hook to handle generation logic fix(schemas.ts): add searchResult field to tMessageSchema * refactor(HoverButtons): convert to TSX and utilize new useGenerations hook * fix(abortMiddleware): handle error with res headers set, or abortController not found, to ensure proper API error is sent to the client, chore(BaseClient): remove console log for onStart message meant for debugging * refactor(api): remove librechat-data-provider dep for now as it complicates deployed docker build stage, re-use code in CJS, located in server/endpoints/schemas * chore: remove console.logs from test files * ci: add backend tests for AnthropicClient, focusing on new buildMessages logic * refactor(FakeClient): use actual BaseClient sendMessage method for testing * test(BaseClient.test.js): add test for loading chat history test(BaseClient.test.js): add test for sendMessage logic with isEdited flag * fix(buildEndpointOption.js): add support for azureOpenAI in buildFunction object wip(endpoints.js): fetch Azure models from Azure OpenAI API if opts.azure is true * fix(Button.tsx): add data-testid attribute to button component fix(SelectDropDown.tsx): add data-testid attribute to Listbox.Button component fix(messages.spec.ts): add waitForServerStream function to consolidate logic for awaiting the server response feat(messages.spec.ts): add test for stopping and continuing message and improve browser/page context order and closing * refactor(onProgress): speed up time to save initial message for editable routes * chore: disable AI message editing (for now), was accidentally allowed * refactor: ensure continue is only supported for latest message style: improve styling in dark mode and across all hover buttons/icons, including making edit icon for AI invisible (for now) * fix: add test id to generation buttons so they never resolve to 2+ items * chore(package.json): add 'packages/' to the list of ignored directories chore(data-provider/package.json): bump version to 0.1.5
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};
};
module.exports = initializeClient;