LibreChat/api/models/spendTokens.js
Danny Avila 1f0fb497f8
🎉 feat: Optimizations and Anthropic Title Generation (#2184)
* feat: add claude-3-haiku-20240307 to default anthropic list

* refactor: optimize `saveMessage` calls mid-stream via throttling

* chore: remove addMetadata operations and consolidate in BaseClient

* fix(listAssistantsForAzure): attempt to specify correct model mapping as accurately as possible (#2177)

* refactor(client): update last conversation setup with current assistant model, call newConvo again when assistants load to allow fast initial load and ensure assistant model is always the default, not the last selected model

* refactor(cache): explicitly add TTL of 2 minutes when setting titleCache and add default TTL of 10 minutes to abortKeys cache

* feat(AnthropicClient): conversation titling using Anthropic Function Calling

* chore: remove extraneous token usage logging

* fix(convos): unhandled edge case for conversation grouping (undefined conversation)

* style: Improved style of Search Bar after recent UI update

* chore: remove unused code, content part helpers

* feat: always show code option
2024-03-23 20:21:40 -04:00

69 lines
2.2 KiB
JavaScript

const { Transaction } = require('./Transaction');
const { logger } = require('~/config');
/**
* 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 {String} [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 >= 0) {
prompt = await Transaction.create({
...txData,
tokenType: 'prompt',
rawAmount: -promptTokens,
});
}
if (!completionTokens) {
logger.debug('[spendTokens] !completionTokens', { prompt, completion });
return;
}
completion = await Transaction.create({
...txData,
tokenType: 'completion',
rawAmount: -completionTokens,
});
prompt &&
completion &&
logger.debug('[spendTokens] Transaction data record against balance:', {
user: prompt.user,
prompt: prompt.prompt,
promptRate: prompt.rate,
completion: completion.completion,
completionRate: completion.rate,
balance: completion.balance,
});
} catch (err) {
logger.error('[spendTokens]', err);
}
};
module.exports = spendTokens;