mirror of
https://github.com/danny-avila/LibreChat.git
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* chore: replace violation cache accessors with enum * chore: fix test * chore(fileSchema): index timestamps * fix(ActionService): use encoding/caching strategy for handling assistant function character length limit * refactor(actions): async `domainParser` also resolve retrieved model (which is deployment name) to user-defined model * style(AssistantAction): add `whitespace-nowrap` for ellipsis * refactor(ActionService): if domain is less than or equal to encoded domain fixed length, return domain with replacement of separator * refactor(actions): use sessions/transactions for updating Assistant Action database records * chore: remove TTL from ENCODED_DOMAINS cache * refactor(domainParser): minor optimization and add tests * fix(spendTokens): use txData.user for token usage logging * refactor(actions): add helper function `withSession` for database operations with sessions/transactions * fix(PluginsClient): logger debug `message` field edge case
69 lines
2.2 KiB
JavaScript
69 lines
2.2 KiB
JavaScript
const { Transaction } = require('./Transaction');
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const { logger } = require('~/config');
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/**
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* Creates up to two transactions to record the spending of tokens.
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*
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* @function
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* @async
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* @param {Object} txData - Transaction data.
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* @param {mongoose.Schema.Types.ObjectId} txData.user - The user ID.
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* @param {String} txData.conversationId - The ID of the conversation.
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* @param {String} txData.model - The model name.
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* @param {String} txData.context - The context in which the transaction is made.
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* @param {String} [txData.endpointTokenConfig] - The current endpoint token config.
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* @param {String} [txData.valueKey] - The value key (optional).
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* @param {Object} tokenUsage - The number of tokens used.
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* @param {Number} tokenUsage.promptTokens - The number of prompt tokens used.
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* @param {Number} tokenUsage.completionTokens - The number of completion tokens used.
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* @returns {Promise<void>} - Returns nothing.
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* @throws {Error} - Throws an error if there's an issue creating the transactions.
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*/
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const spendTokens = async (txData, tokenUsage) => {
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const { promptTokens, completionTokens } = tokenUsage;
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logger.debug(
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`[spendTokens] conversationId: ${txData.conversationId}${
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txData?.context ? ` | Context: ${txData?.context}` : ''
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} | Token usage: `,
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{
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promptTokens,
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completionTokens,
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},
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);
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let prompt, completion;
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try {
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if (promptTokens >= 0) {
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prompt = await Transaction.create({
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...txData,
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tokenType: 'prompt',
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rawAmount: -promptTokens,
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});
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}
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if (!completionTokens) {
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logger.debug('[spendTokens] !completionTokens', { prompt, completion });
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return;
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}
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completion = await Transaction.create({
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...txData,
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tokenType: 'completion',
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rawAmount: -completionTokens,
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});
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prompt &&
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completion &&
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logger.debug('[spendTokens] Transaction data record against balance:', {
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user: txData.user,
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prompt: prompt.prompt,
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promptRate: prompt.rate,
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completion: completion.completion,
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completionRate: completion.rate,
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balance: completion.balance,
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});
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} catch (err) {
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logger.error('[spendTokens]', err);
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}
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};
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module.exports = spendTokens;
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