mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-20 18:30:15 +01:00
* 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
289 lines
7.8 KiB
TypeScript
289 lines
7.8 KiB
TypeScript
import { useEffect } from 'react';
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import { useResetRecoilState, useSetRecoilState } from 'recoil';
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import {
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/* @ts-ignore */
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SSE,
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createPayload,
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useGetUserBalance,
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tMessageSchema,
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tConversationSchema,
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useGetStartupConfig,
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} from 'librechat-data-provider';
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import type { TResPlugin, TMessage, TConversation, TSubmission } from 'librechat-data-provider';
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import useConversations from './useConversations';
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import { useAuthContext } from './AuthContext';
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import store from '~/store';
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type TResData = {
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plugin: TResPlugin;
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final?: boolean;
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initial?: boolean;
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requestMessage: TMessage;
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responseMessage: TMessage;
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conversation: TConversation;
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};
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export default function useServerStream(submission: TSubmission | null) {
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const setMessages = useSetRecoilState(store.messages);
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const setIsSubmitting = useSetRecoilState(store.isSubmitting);
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const setConversation = useSetRecoilState(store.conversation);
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const resetLatestMessage = useResetRecoilState(store.latestMessage);
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const { token } = useAuthContext();
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const { data: startupConfig } = useGetStartupConfig();
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const { refreshConversations } = useConversations();
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const balanceQuery = useGetUserBalance();
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const messageHandler = (data: string, submission: TSubmission) => {
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const {
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messages,
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message,
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plugin,
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plugins,
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initialResponse,
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isRegenerate = false,
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} = submission;
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if (isRegenerate) {
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setMessages([
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...messages,
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{
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...initialResponse,
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text: data,
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parentMessageId: message?.overrideParentMessageId ?? null,
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messageId: message?.overrideParentMessageId + '_',
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plugin: plugin ?? null,
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plugins: plugins ?? [],
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submitting: true,
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// unfinished: true
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},
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]);
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} else {
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setMessages([
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...messages,
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message,
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{
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...initialResponse,
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text: data,
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parentMessageId: message?.messageId,
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messageId: message?.messageId + '_',
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plugin: plugin ?? null,
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plugins: plugins ?? [],
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submitting: true,
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// unfinished: true
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},
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]);
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}
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};
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const cancelHandler = (data: TResData, submission: TSubmission) => {
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const { requestMessage, responseMessage, conversation } = data;
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const { messages, isRegenerate = false } = submission;
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// update the messages
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if (isRegenerate) {
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setMessages([...messages, responseMessage]);
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} else {
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setMessages([...messages, requestMessage, responseMessage]);
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}
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setIsSubmitting(false);
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// refresh title
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if (requestMessage.parentMessageId == '00000000-0000-0000-0000-000000000000') {
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setTimeout(() => {
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refreshConversations();
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}, 2000);
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// in case it takes too long.
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setTimeout(() => {
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refreshConversations();
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}, 5000);
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}
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setConversation((prevState) => ({
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...prevState,
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...conversation,
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}));
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};
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const createdHandler = (data: TResData, submission: TSubmission) => {
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const { messages, message, initialResponse, isRegenerate = false } = submission;
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if (isRegenerate) {
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setMessages([
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...messages,
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{
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...initialResponse,
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parentMessageId: message?.overrideParentMessageId ?? null,
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messageId: message?.overrideParentMessageId + '_',
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submitting: true,
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},
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]);
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} else {
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setMessages([
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...messages,
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message,
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{
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...initialResponse,
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parentMessageId: message?.messageId,
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messageId: message?.messageId + '_',
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submitting: true,
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},
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]);
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}
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const { conversationId } = message;
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setConversation((prevState) =>
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tConversationSchema.parse({
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...prevState,
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conversationId,
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}),
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);
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resetLatestMessage();
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};
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const finalHandler = (data: TResData, submission: TSubmission) => {
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const { requestMessage, responseMessage, conversation } = data;
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const { messages, isRegenerate = false } = submission;
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// update the messages
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if (isRegenerate) {
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setMessages([...messages, responseMessage]);
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} else {
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setMessages([...messages, requestMessage, responseMessage]);
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}
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setIsSubmitting(false);
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// refresh title
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if (requestMessage.parentMessageId == '00000000-0000-0000-0000-000000000000') {
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setTimeout(() => {
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refreshConversations();
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}, 2000);
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// in case it takes too long.
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setTimeout(() => {
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refreshConversations();
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}, 5000);
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}
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setConversation((prevState) => ({
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...prevState,
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...conversation,
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}));
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};
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const errorHandler = (data: TResData, submission: TSubmission) => {
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const { messages, message } = submission;
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console.log('Error:', data);
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const errorResponse = tMessageSchema.parse({
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...data,
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error: true,
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parentMessageId: message?.messageId,
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});
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setIsSubmitting(false);
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setMessages([...messages, message, errorResponse]);
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return;
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};
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const abortConversation = (conversationId = '', submission: TSubmission) => {
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console.log(submission);
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const { endpoint } = submission?.conversation || {};
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fetch(`/api/ask/${endpoint}/abort`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${token}`,
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},
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body: JSON.stringify({
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abortKey: conversationId,
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}),
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})
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.then((response) => response.json())
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.then((data) => {
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console.log('aborted', data);
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cancelHandler(data, submission);
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})
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.catch((error) => {
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console.error('Error aborting request');
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console.error(error);
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// errorHandler({ text: 'Error aborting request' }, { ...submission, message });
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});
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return;
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};
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useEffect(() => {
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if (submission === null) {
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return;
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}
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if (Object.keys(submission).length === 0) {
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return;
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}
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let { message } = submission;
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const { server, payload } = createPayload(submission);
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const events = new SSE(server, {
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payload: JSON.stringify(payload),
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headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${token}` },
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});
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events.onmessage = (e: MessageEvent) => {
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const data = JSON.parse(e.data);
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if (data.final) {
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const { plugins } = data;
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finalHandler(data, { ...submission, plugins, message });
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startupConfig?.checkBalance && balanceQuery.refetch();
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console.log('final', data);
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}
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if (data.created) {
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message = {
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...data.message,
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overrideParentMessageId: message?.overrideParentMessageId,
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};
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createdHandler(data, { ...submission, message });
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} else {
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const text = data.text || data.response;
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const { plugin, plugins } = data;
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if (data.message) {
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messageHandler(text, { ...submission, plugin, plugins, message });
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}
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}
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};
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events.onopen = () => console.log('connection is opened');
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events.oncancel = () =>
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abortConversation(message?.conversationId ?? submission?.conversationId, submission);
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events.onerror = function (e: MessageEvent) {
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console.log('error in opening conn.');
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startupConfig?.checkBalance && balanceQuery.refetch();
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events.close();
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const data = JSON.parse(e.data);
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errorHandler(data, { ...submission, message });
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};
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setIsSubmitting(true);
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events.stream();
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return () => {
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const isCancelled = events.readyState <= 1;
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events.close();
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// setSource(null);
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if (isCancelled) {
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const e = new Event('cancel');
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events.dispatchEvent(e);
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}
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setIsSubmitting(false);
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};
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// eslint-disable-next-line react-hooks/exhaustive-deps
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}, [submission]);
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}
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