LibreChat/api/models/spendTokens.js
Danny Avila a2fc7d312a
🏗️ refactor: Extract DB layers to data-schemas for shared use (#7650)
* refactor: move model definitions and database-related methods to packages/data-schemas

* ci: update tests due to new DB structure

fix: disable mocking `librechat-data-provider`

feat: Add schema exports to data-schemas package

- Introduced a new schema module that exports various schemas including action, agent, and user schemas.
- Updated index.ts to include the new schema exports for better modularity and organization.

ci: fix appleStrategy tests

fix: Agent.spec.js

ci: refactor handleTools tests to use MongoMemoryServer for in-memory database

fix: getLogStores imports

ci: update banViolation tests to use MongoMemoryServer and improve session mocking

test: refactor samlStrategy tests to improve mock configurations and user handling

ci: fix crypto mock in handleText tests for improved accuracy

ci: refactor spendTokens tests to improve model imports and setup

ci: refactor Message model tests to use MongoMemoryServer and improve database interactions

* refactor: streamline IMessage interface and move feedback properties to types/message.ts

* refactor: use exported initializeRoles from `data-schemas`, remove api workspace version (this serves as an example of future migrations that still need to happen)

* refactor: update model imports to use destructuring from `~/db/models` for consistency and clarity

* refactor: remove unused mongoose imports from model files for cleaner code

* refactor: remove unused mongoose imports from Share, Prompt, and Transaction model files for cleaner code

* refactor: remove unused import in Transaction model for cleaner code

* ci: update deploy workflow to reference new Docker Dev Branch Images Build and add new workflow for building Docker images on dev branch

* chore: cleanup imports
2025-05-30 22:18:13 -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 };