LibreChat/api/models/schema/key.js

25 lines
410 B
JavaScript
Raw Normal View History

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
const mongoose = require('mongoose');
const keySchema = mongoose.Schema({
userId: {
type: mongoose.Schema.Types.ObjectId,
ref: 'User',
required: true,
},
name: {
type: String,
required: true,
},
value: {
type: String,
required: true,
},
expiresAt: {
type: Date,
},
});
keySchema.index({ expiresAt: 1 }, { expireAfterSeconds: 0 });
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * refactor(Chains/llms): allow passing callbacks * refactor(BaseClient): accurately count completion tokens as generation only * refactor(OpenAIClient): remove unused getTokenCountForResponse, pass streaming var and callbacks in initializeLLM * wip: summary prompt tokens * refactor(summarizeMessages): new cut-off strategy that generates a better summary by adding context from beginning, truncating the middle, and providing the end wip: draft out relevant providers and variables for token tracing * refactor(createLLM): make streaming prop false by default * chore: remove use of getTokenCountForResponse * refactor(agents): use BufferMemory as ConversationSummaryBufferMemory token usage not easy to trace * chore: remove passing of streaming prop, also console log useful vars for tracing * feat: formatFromLangChain helper function to count tokens for ChatModelStart * refactor(initializeLLM): add role for LLM tracing * chore(formatFromLangChain): update JSDoc * feat(formatMessages): formats langChain messages into OpenAI payload format * chore: install openai-chat-tokens * refactor(formatMessage): optimize conditional langChain logic fix(formatFromLangChain): fix destructuring * feat: accurate prompt tokens for ChatModelStart before generation * refactor(handleChatModelStart): move to callbacks dir, use factory function * refactor(initializeLLM): rename 'role' to 'context' * feat(Balance/Transaction): new schema/models for tracking token spend refactor(Key): factor out model export to separate file * refactor(initializeClient): add req,res objects to client options * feat: add-balance script to add to an existing users' token balance refactor(Transaction): use multiplier map/function, return balance update * refactor(Tx): update enum for tokenType, return 1 for multiplier if no map match * refactor(Tx): add fair fallback value multiplier incase the config result is undefined * refactor(Balance): rename 'tokens' to 'tokenCredits' * feat: balance check, add tx.js for new tx-related methods and tests * chore(summaryPrompts): update prompt token count * refactor(callbacks): pass req, res wip: check balance * refactor(Tx): make convoId a String type, fix(calculateTokenValue) * refactor(BaseClient): add conversationId as client prop when assigned * feat(RunManager): track LLM runs with manager, track token spend from LLM, refactor(OpenAIClient): use RunManager to create callbacks, pass user prop to langchain api calls * feat(spendTokens): helper to spend prompt/completion tokens * feat(checkBalance): add helper to check, log, deny request if balance doesn't have enough funds refactor(Balance): static check method to return object instead of boolean now wip(OpenAIClient): implement use of checkBalance * refactor(initializeLLM): add token buffer to assure summary isn't generated when subsequent payload is too large refactor(OpenAIClient): add checkBalance refactor(createStartHandler): add checkBalance * chore: remove prompt and completion token logging from route handler * chore(spendTokens): add JSDoc * feat(logTokenCost): record transactions for basic api calls * chore(ask/edit): invoke getResponseSender only once per API call * refactor(ask/edit): pass promptTokens to getIds and include in abort data * refactor(getIds -> getReqData): rename function * refactor(Tx): increase value if incomplete message * feat: record tokenUsage when message is aborted * refactor: subtract tokens when payload includes function_call * refactor: add namespace for token_balance * fix(spendTokens): only execute if corresponding token type amounts are defined * refactor(checkBalance): throws Error if not enough token credits * refactor(runTitleChain): pass and use signal, spread object props in create helpers, and use 'call' instead of 'run' * fix(abortMiddleware): circular dependency, and default to empty string for completionTokens * fix: properly cancel title requests when there isn't enough tokens to generate * feat(predictNewSummary): custom chain for summaries to allow signal passing refactor(summaryBuffer): use new custom chain * feat(RunManager): add getRunByConversationId method, refactor: remove run and throw llm error on handleLLMError * refactor(createStartHandler): if summary, add error details to runs * fix(OpenAIClient): support aborting from summarization & showing error to user refactor(summarizeMessages): remove unnecessary operations counting summaryPromptTokens and note for alternative, pass signal to summaryBuffer * refactor(logTokenCost -> recordTokenUsage): rename * refactor(checkBalance): include promptTokens in errorMessage * refactor(checkBalance/spendTokens): move to models dir * fix(createLanguageChain): correctly pass config * refactor(initializeLLM/title): add tokenBuffer of 150 for balance check * refactor(openAPIPlugin): pass signal and memory, filter functions by the one being called * refactor(createStartHandler): add error to run if context is plugins as well * refactor(RunManager/handleLLMError): throw error immediately if plugins, don't remove run * refactor(PluginsClient): pass memory and signal to tools, cleanup error handling logic * chore: use absolute equality for addTitle condition * refactor(checkBalance): move checkBalance to execute after userMessage and tokenCounts are saved, also make conditional * style: icon changes to match official * fix(BaseClient): getTokenCountForResponse -> getTokenCount * fix(formatLangChainMessages): add kwargs as fallback prop from lc_kwargs, update JSDoc * refactor(Tx.create): does not update balance if CHECK_BALANCE is not enabled * fix(e2e/cleanUp): cleanup new collections, import all model methods from index * fix(config/add-balance): add uncaughtException listener * fix: circular dependency * refactor(initializeLLM/checkBalance): append new generations to errorMessage if cost exceeds balance * fix(handleResponseMessage): only record token usage in this method if not error and completion is not skipped * fix(createStartHandler): correct condition for generations * chore: bump postcss due to moderate severity vulnerability * chore: bump zod due to low severity vulnerability * chore: bump openai & data-provider version * feat(types): OpenAI Message types * chore: update bun lockfile * refactor(CodeBlock): add error block formatting * refactor(utils/Plugin): factor out formatJSON and cn to separate files (json.ts and cn.ts), add extractJSON * chore(logViolation): delete user_id after error is logged * refactor(getMessageError -> Error): change to React.FC, add token_balance handling, use extractJSON to determine JSON instead of regex * fix(DALL-E): use latest openai SDK * chore: reorganize imports, fix type issue * feat(server): add balance route * fix(api/models): add auth * feat(data-provider): /api/balance query * feat: show balance if checking is enabled, refetch on final message or error * chore: update docs, .env.example with token_usage info, add balance script command * fix(Balance): fallback to empty obj for balance query * style: slight adjustment of balance element * docs(token_usage): add PR notes
2023-10-05 18:34:10 -04:00
module.exports = keySchema;