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
2024-02-26 14:12:25 -05:00
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
2024-02-26 14:12:25 -05:00
} = require('librechat-data-provider');
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
const {
isEnabled,
isUserProvided,
getOpenAIConfig,
getAzureCredentials,
createHandleLLMNewToken,
} = require('@librechat/api');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
🤖 refactor: Improve Agents Memory Usage, Bump Keyv, Grok 3 (#6850) * chore: remove unused redis file * chore: bump keyv dependencies, and update related imports * refactor: Implement IoRedis client for rate limiting across middleware, as node-redis via keyv not compatible * fix: Set max listeners to expected amount * WIP: memory improvements * refactor: Simplify getAbortData assignment in createAbortController * refactor: Update getAbortData to use WeakRef for content management * WIP: memory improvements in agent chat requests * refactor: Enhance memory management with finalization registry and cleanup functions * refactor: Simplify domainParser calls by removing unnecessary request parameter * refactor: Update parameter types for action tools and agent loading functions to use minimal configs * refactor: Simplify domainParser tests by removing unnecessary request parameter * refactor: Simplify domainParser call by removing unnecessary request parameter * refactor: Enhance client disposal by nullifying additional properties to improve memory management * refactor: Improve title generation by adding abort controller and timeout handling, consolidate request cleanup * refactor: Update checkIdleConnections to skip current user when checking for idle connections if passed * refactor: Update createMCPTool to derive userId from config and handle abort signals * refactor: Introduce createTokenCounter function and update tokenCounter usage; enhance disposeClient to reset Graph values * refactor: Update getMCPManager to accept userId parameter for improved idle connection handling * refactor: Extract logToolError function for improved error handling in AgentClient * refactor: Update disposeClient to clear handlerRegistry and graphRunnable references in client.run * refactor: Extract createHandleNewToken function to streamline token handling in initializeClient * chore: bump @librechat/agents * refactor: Improve timeout handling in addTitle function for better error management * refactor: Introduce createFetch instead of using class method * refactor: Enhance client disposal and request data handling in AskController and EditController * refactor: Update import statements for AnthropicClient and OpenAIClient to use specific paths * refactor: Use WeakRef for response handling in SplitStreamHandler to prevent memory leaks * refactor: Simplify client disposal and rename getReqData to processReqData in AskController and EditController * refactor: Improve logging structure and parameter handling in OpenAIClient * refactor: Remove unused GraphEvents and improve stream event handling in AnthropicClient and OpenAIClient * refactor: Simplify client initialization in AskController and EditController * refactor: Remove unused mock functions and implement in-memory store for KeyvMongo * chore: Update dependencies in package-lock.json to latest versions * refactor: Await token usage recording in OpenAIClient to ensure proper async handling * refactor: Remove handleAbort route from multiple endpoints and enhance client disposal logic * refactor: Enhance abort controller logic by managing abortKey more effectively * refactor: Add newConversation handling in useEventHandlers for improved conversation management * fix: dropparams * refactor: Use optional chaining for safer access to request properties in BaseClient * refactor: Move client disposal and request data processing logic to cleanup module for better organization * refactor: Remove aborted request check from addTitle function for cleaner logic * feat: Add Grok 3 model pricing and update tests for new models * chore: Remove trace warnings and inspect flags from backend start script used for debugging * refactor: Replace user identifier handling with userId for consistency across controllers, use UserId in clientRegistry * refactor: Enhance client disposal logic to prevent memory leaks by clearing additional references * chore: Update @librechat/agents to version 2.4.14 in package.json and package-lock.json
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const OpenAIClient = require('~/app/clients/OpenAIClient');
🚧 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];
let 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;
if (serverless === true) {
clientOptions.defaultQuery = azureOptions.azureOpenAIApiVersion
? { 'api-version': azureOptions.azureOpenAIApiVersion }
: undefined;
clientOptions.headers['api-key'] = apiKey;
}
🅰️ 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;
clientOptions.titleModel = openAIConfig.titleModel;
}
/** @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 modelOptions = endpointOption.model_parameters;
modelOptions.model = modelName;
clientOptions = Object.assign({ modelOptions }, clientOptions);
clientOptions.modelOptions.user = req.user.id;
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
const options = getOpenAIConfig(apiKey, clientOptions);
🤖 refactor: Improve Agents Memory Usage, Bump Keyv, Grok 3 (#6850) * chore: remove unused redis file * chore: bump keyv dependencies, and update related imports * refactor: Implement IoRedis client for rate limiting across middleware, as node-redis via keyv not compatible * fix: Set max listeners to expected amount * WIP: memory improvements * refactor: Simplify getAbortData assignment in createAbortController * refactor: Update getAbortData to use WeakRef for content management * WIP: memory improvements in agent chat requests * refactor: Enhance memory management with finalization registry and cleanup functions * refactor: Simplify domainParser calls by removing unnecessary request parameter * refactor: Update parameter types for action tools and agent loading functions to use minimal configs * refactor: Simplify domainParser tests by removing unnecessary request parameter * refactor: Simplify domainParser call by removing unnecessary request parameter * refactor: Enhance client disposal by nullifying additional properties to improve memory management * refactor: Improve title generation by adding abort controller and timeout handling, consolidate request cleanup * refactor: Update checkIdleConnections to skip current user when checking for idle connections if passed * refactor: Update createMCPTool to derive userId from config and handle abort signals * refactor: Introduce createTokenCounter function and update tokenCounter usage; enhance disposeClient to reset Graph values * refactor: Update getMCPManager to accept userId parameter for improved idle connection handling * refactor: Extract logToolError function for improved error handling in AgentClient * refactor: Update disposeClient to clear handlerRegistry and graphRunnable references in client.run * refactor: Extract createHandleNewToken function to streamline token handling in initializeClient * chore: bump @librechat/agents * refactor: Improve timeout handling in addTitle function for better error management * refactor: Introduce createFetch instead of using class method * refactor: Enhance client disposal and request data handling in AskController and EditController * refactor: Update import statements for AnthropicClient and OpenAIClient to use specific paths * refactor: Use WeakRef for response handling in SplitStreamHandler to prevent memory leaks * refactor: Simplify client disposal and rename getReqData to processReqData in AskController and EditController * refactor: Improve logging structure and parameter handling in OpenAIClient * refactor: Remove unused GraphEvents and improve stream event handling in AnthropicClient and OpenAIClient * refactor: Simplify client initialization in AskController and EditController * refactor: Remove unused mock functions and implement in-memory store for KeyvMongo * chore: Update dependencies in package-lock.json to latest versions * refactor: Await token usage recording in OpenAIClient to ensure proper async handling * refactor: Remove handleAbort route from multiple endpoints and enhance client disposal logic * refactor: Enhance abort controller logic by managing abortKey more effectively * refactor: Add newConversation handling in useEventHandlers for improved conversation management * fix: dropparams * refactor: Use optional chaining for safer access to request properties in BaseClient * refactor: Move client disposal and request data processing logic to cleanup module for better organization * refactor: Remove aborted request check from addTitle function for cleaner logic * feat: Add Grok 3 model pricing and update tests for new models * chore: Remove trace warnings and inspect flags from backend start script used for debugging * refactor: Replace user identifier handling with userId for consistency across controllers, use UserId in clientRegistry * refactor: Enhance client disposal logic to prevent memory leaks by clearing additional references * chore: Update @librechat/agents to version 2.4.14 in package.json and package-lock.json
2025-04-12 18:46:36 -04:00
const streamRate = clientOptions.streamRate;
if (!streamRate) {
🎉 feat: Code Interpreter API and Agents Release (#4860) * feat: Code Interpreter API & File Search Agent Uploads chore: add back code files wip: first pass, abstract key dialog refactor: influence checkbox on key changes refactor: update localization keys for 'execute code' to 'run code' wip: run code button refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions feat: first pass, API tool calling fix: handle missing toolId in callTool function and return 404 for non-existent tools feat: show code outputs fix: improve error handling in callTool function and log errors fix: handle potential null value for filepath in attachment destructuring fix: normalize language before rendering and prevent null return fix: add loading indicator in RunCode component while executing code feat: add support for conditional code execution in Markdown components feat: attachments refactor: remove bash fix: pass abort signal to graph/run refactor: debounce and rate limit tool call refactor: increase debounce delay for execute function feat: set code output attachments feat: image attachments refactor: apply message context refactor: pass `partIndex` feat: toolCall schema/model/methods feat: block indexing feat: get tool calls chore: imports chore: typing chore: condense type imports feat: get tool calls fix: block indexing chore: typing refactor: update tool calls mapping to support multiple results fix: add unique key to nav link for rendering wip: first pass, tool call results refactor: update query cache from successful tool call mutation style: improve result switcher styling chore: note on using \`.toObject()\` feat: add agent_id field to conversation schema chore: typing refactor: rename agentMap to agentsMap for consistency feat: Agent Name as chat input placeholder chore: bump agents 📦 chore: update @langchain dependencies to latest versions to match agents package 📦 chore: update @librechat/agents dependency to version 1.8.0 fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads feat: upload menu feat: prime message_file resources feat: implement conversation access validation in chat route refactor: remove file parameter from processFileUpload and use req.file instead feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db feat: prevent duplicate message saves by checking savedMessageIds in AgentController refactor: skip legacy RAG API handling for agents feat: add files field to convoSchema refactor: update request type annotations from Express.Request to ServerRequest in file processing functions feat: track conversation files fix: resendFiles, addPreviousAttachments handling feat: add ID validation for session_id and file_id in download route feat: entity_id for code file uploads/downloads fix: code file edge cases feat: delete related tool calls feat: add stream rate handling for LLM configuration feat: enhance system content with attached file information fix: improve error logging in resource priming function * WIP: PoC, sequential agents WIP: PoC Sequential Agents, first pass content data + bump agents package fix: package-lock WIP: PoC, o1 support, refactor bufferString feat: convertJsonSchemaToZod fix: form issues and schema defining erroneous model fix: max length issue on agent form instructions, limit conversation messages to sequential agents feat: add abort signal support to createRun function and AgentClient feat: PoC, hide prior sequential agent steps fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data refactor: use only last contentData, track model for usage data chore: bump agents package fix: content parts issue refactor: filter contentParts to include tool calls and relevant indices feat: show function calls refactor: filter context messages to exclude tool calls when no tools are available to the agent fix: ensure tool call content is not undefined in formatMessages feat: add agent_id field to conversationPreset schema feat: hide sequential agents feat: increase upload toast duration to 10 seconds * refactor: tool context handling & update Code API Key Dialog feat: toolContextMap chore: skipSpecs -> useSpecs ci: fix handleTools tests feat: API Key Dialog * feat: Agent Permissions Admin Controls feat: replace label with button for prompt permission toggle feat: update agent permissions feat: enable experimental agents and streamline capability configuration feat: implement access control for agents and enhance endpoint menu items feat: add welcome message for agent selection in localization feat: add agents permission to access control and update version to 0.7.57 * fix: update types in useAssistantListMap and useMentions hooks for better null handling * feat: mention agents * fix: agent tool resource race conditions when deleting agent tool resource files * feat: add error handling for code execution with user feedback * refactor: rename AdminControls to AdminSettings for clarity * style: add gap to button in AdminSettings for improved layout * refactor: separate agent query hooks and check access to enable fetching * fix: remove unused provider from agent initialization options, creates issue with custom endpoints * refactor: remove redundant/deprecated modelOptions from AgentClient processes * chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json * fix: minor styling issues + agent panel uniformity * fix: agent edge cases when set endpoint is no longer defined * refactor: remove unused cleanup function call from AppService * fix: update link in ApiKeyDialog to point to pricing page * fix: improve type handling and layout calculations in SidePanel component * fix: add missing localization string for agent selection in SidePanel * chore: form styling and localizations for upload filesearch/code interpreter * fix: model selection placeholder logic in AgentConfig component * style: agent capabilities * fix: add localization for provider selection and improve dropdown styling in ModelPanel * refactor: use gpt-4o-mini > gpt-3.5-turbo * fix: agents configuration for loadDefaultInterface and update related tests * feat: DALLE Agents support
2024-12-04 15:48:13 -05:00
return options;
}
options.llmConfig.callbacks = [
{
handleLLMNewToken: createHandleLLMNewToken(streamRate),
🎉 feat: Code Interpreter API and Agents Release (#4860) * feat: Code Interpreter API & File Search Agent Uploads chore: add back code files wip: first pass, abstract key dialog refactor: influence checkbox on key changes refactor: update localization keys for 'execute code' to 'run code' wip: run code button refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions feat: first pass, API tool calling fix: handle missing toolId in callTool function and return 404 for non-existent tools feat: show code outputs fix: improve error handling in callTool function and log errors fix: handle potential null value for filepath in attachment destructuring fix: normalize language before rendering and prevent null return fix: add loading indicator in RunCode component while executing code feat: add support for conditional code execution in Markdown components feat: attachments refactor: remove bash fix: pass abort signal to graph/run refactor: debounce and rate limit tool call refactor: increase debounce delay for execute function feat: set code output attachments feat: image attachments refactor: apply message context refactor: pass `partIndex` feat: toolCall schema/model/methods feat: block indexing feat: get tool calls chore: imports chore: typing chore: condense type imports feat: get tool calls fix: block indexing chore: typing refactor: update tool calls mapping to support multiple results fix: add unique key to nav link for rendering wip: first pass, tool call results refactor: update query cache from successful tool call mutation style: improve result switcher styling chore: note on using \`.toObject()\` feat: add agent_id field to conversation schema chore: typing refactor: rename agentMap to agentsMap for consistency feat: Agent Name as chat input placeholder chore: bump agents 📦 chore: update @langchain dependencies to latest versions to match agents package 📦 chore: update @librechat/agents dependency to version 1.8.0 fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads feat: upload menu feat: prime message_file resources feat: implement conversation access validation in chat route refactor: remove file parameter from processFileUpload and use req.file instead feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db feat: prevent duplicate message saves by checking savedMessageIds in AgentController refactor: skip legacy RAG API handling for agents feat: add files field to convoSchema refactor: update request type annotations from Express.Request to ServerRequest in file processing functions feat: track conversation files fix: resendFiles, addPreviousAttachments handling feat: add ID validation for session_id and file_id in download route feat: entity_id for code file uploads/downloads fix: code file edge cases feat: delete related tool calls feat: add stream rate handling for LLM configuration feat: enhance system content with attached file information fix: improve error logging in resource priming function * WIP: PoC, sequential agents WIP: PoC Sequential Agents, first pass content data + bump agents package fix: package-lock WIP: PoC, o1 support, refactor bufferString feat: convertJsonSchemaToZod fix: form issues and schema defining erroneous model fix: max length issue on agent form instructions, limit conversation messages to sequential agents feat: add abort signal support to createRun function and AgentClient feat: PoC, hide prior sequential agent steps fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data refactor: use only last contentData, track model for usage data chore: bump agents package fix: content parts issue refactor: filter contentParts to include tool calls and relevant indices feat: show function calls refactor: filter context messages to exclude tool calls when no tools are available to the agent fix: ensure tool call content is not undefined in formatMessages feat: add agent_id field to conversationPreset schema feat: hide sequential agents feat: increase upload toast duration to 10 seconds * refactor: tool context handling & update Code API Key Dialog feat: toolContextMap chore: skipSpecs -> useSpecs ci: fix handleTools tests feat: API Key Dialog * feat: Agent Permissions Admin Controls feat: replace label with button for prompt permission toggle feat: update agent permissions feat: enable experimental agents and streamline capability configuration feat: implement access control for agents and enhance endpoint menu items feat: add welcome message for agent selection in localization feat: add agents permission to access control and update version to 0.7.57 * fix: update types in useAssistantListMap and useMentions hooks for better null handling * feat: mention agents * fix: agent tool resource race conditions when deleting agent tool resource files * feat: add error handling for code execution with user feedback * refactor: rename AdminControls to AdminSettings for clarity * style: add gap to button in AdminSettings for improved layout * refactor: separate agent query hooks and check access to enable fetching * fix: remove unused provider from agent initialization options, creates issue with custom endpoints * refactor: remove redundant/deprecated modelOptions from AgentClient processes * chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json * fix: minor styling issues + agent panel uniformity * fix: agent edge cases when set endpoint is no longer defined * refactor: remove unused cleanup function call from AppService * fix: update link in ApiKeyDialog to point to pricing page * fix: improve type handling and layout calculations in SidePanel component * fix: add missing localization string for agent selection in SidePanel * chore: form styling and localizations for upload filesearch/code interpreter * fix: model selection placeholder logic in AgentConfig component * style: agent capabilities * fix: add localization for provider selection and improve dropdown styling in ModelPanel * refactor: use gpt-4o-mini > gpt-3.5-turbo * fix: agents configuration for loadDefaultInterface and update related tests * feat: DALLE Agents support
2024-12-04 15:48:13 -05:00
},
];
return options;
🚧 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 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
2023-08-17 12:50:05 -04:00
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;