LibreChat/api/models/spendTokens.js
Danny Avila 20ad7d52f3
refactor(db): streamline model imports and remove unused model exports
- Removed the export of models from the database connection module to simplify the structure.
- Updated various files to import models directly from the new centralized models module.
- Ensured consistency across the codebase by replacing mongoose model references with the new import paths.
2025-05-30 13:13:10 -04:00

139 lines
5 KiB
JavaScript

const { logger } = require('~/config');
const { createTransaction, createStructuredTransaction } = require('./Transaction');
/**
* Creates up to two transactions to record the spending of tokens.
*
* @function
* @async
* @param {Object} txData - Transaction data.
* @param {mongoose.Schema.Types.ObjectId} txData.user - The user ID.
* @param {String} txData.conversationId - The ID of the conversation.
* @param {String} txData.model - The model name.
* @param {String} txData.context - The context in which the transaction is made.
* @param {EndpointTokenConfig} [txData.endpointTokenConfig] - The current endpoint token config.
* @param {String} [txData.valueKey] - The value key (optional).
* @param {Object} tokenUsage - The number of tokens used.
* @param {Number} tokenUsage.promptTokens - The number of prompt tokens used.
* @param {Number} tokenUsage.completionTokens - The number of completion tokens used.
* @returns {Promise<void>} - Returns nothing.
* @throws {Error} - Throws an error if there's an issue creating the transactions.
*/
const spendTokens = async (txData, tokenUsage) => {
const { promptTokens, completionTokens } = tokenUsage;
logger.debug(
`[spendTokens] conversationId: ${txData.conversationId}${
txData?.context ? ` | Context: ${txData?.context}` : ''
} | Token usage: `,
{
promptTokens,
completionTokens,
},
);
let prompt, completion;
try {
if (promptTokens !== undefined) {
prompt = await createTransaction({
...txData,
tokenType: 'prompt',
rawAmount: promptTokens === 0 ? 0 : -Math.max(promptTokens, 0),
});
}
if (completionTokens !== undefined) {
completion = await createTransaction({
...txData,
tokenType: 'completion',
rawAmount: completionTokens === 0 ? 0 : -Math.max(completionTokens, 0),
});
}
if (prompt || completion) {
logger.debug('[spendTokens] Transaction data record against balance:', {
user: txData.user,
prompt: prompt?.prompt,
promptRate: prompt?.rate,
completion: completion?.completion,
completionRate: completion?.rate,
balance: completion?.balance ?? prompt?.balance,
});
} else {
logger.debug('[spendTokens] No transactions incurred against balance');
}
} catch (err) {
logger.error('[spendTokens]', err);
}
};
/**
* Creates transactions to record the spending of structured tokens.
*
* @function
* @async
* @param {Object} txData - Transaction data.
* @param {mongoose.Schema.Types.ObjectId} txData.user - The user ID.
* @param {String} txData.conversationId - The ID of the conversation.
* @param {String} txData.model - The model name.
* @param {String} txData.context - The context in which the transaction is made.
* @param {EndpointTokenConfig} [txData.endpointTokenConfig] - The current endpoint token config.
* @param {String} [txData.valueKey] - The value key (optional).
* @param {Object} tokenUsage - The number of tokens used.
* @param {Object} tokenUsage.promptTokens - The number of prompt tokens used.
* @param {Number} tokenUsage.promptTokens.input - The number of input tokens.
* @param {Number} tokenUsage.promptTokens.write - The number of write tokens.
* @param {Number} tokenUsage.promptTokens.read - The number of read tokens.
* @param {Number} tokenUsage.completionTokens - The number of completion tokens used.
* @returns {Promise<void>} - Returns nothing.
* @throws {Error} - Throws an error if there's an issue creating the transactions.
*/
const spendStructuredTokens = async (txData, tokenUsage) => {
const { promptTokens, completionTokens } = tokenUsage;
logger.debug(
`[spendStructuredTokens] conversationId: ${txData.conversationId}${
txData?.context ? ` | Context: ${txData?.context}` : ''
} | Token usage: `,
{
promptTokens,
completionTokens,
},
);
let prompt, completion;
try {
if (promptTokens) {
const { input = 0, write = 0, read = 0 } = promptTokens;
prompt = await createStructuredTransaction({
...txData,
tokenType: 'prompt',
inputTokens: -input,
writeTokens: -write,
readTokens: -read,
});
}
if (completionTokens) {
completion = await createTransaction({
...txData,
tokenType: 'completion',
rawAmount: -completionTokens,
});
}
if (prompt || completion) {
logger.debug('[spendStructuredTokens] Transaction data record against balance:', {
user: txData.user,
prompt: prompt?.prompt,
promptRate: prompt?.rate,
completion: completion?.completion,
completionRate: completion?.rate,
balance: completion?.balance ?? prompt?.balance,
});
} else {
logger.debug('[spendStructuredTokens] No transactions incurred against balance');
}
} catch (err) {
logger.error('[spendStructuredTokens]', err);
}
return { prompt, completion };
};
module.exports = { spendTokens, spendStructuredTokens };