LibreChat/config/add-balance.js

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const path = require('path');
const mongoose = require('mongoose');
🛜 refactor: Streamline App Config Usage (#9234) * WIP: app.locals refactoring WIP: appConfig fix: update memory configuration retrieval to use getAppConfig based on user role fix: update comment for AppConfig interface to clarify purpose 🏷️ refactor: Update tests to use getAppConfig for endpoint configurations ci: Update AppService tests to initialize app config instead of app.locals ci: Integrate getAppConfig into remaining tests refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests refactor: Rename initializeAppConfig to setAppConfig and update related tests ci: Mock getAppConfig in various tests to provide default configurations refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests chore: rename `Config/getAppConfig` -> `Config/app` fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters chore: correct parameter documentation for imageOutputType in ToolService.js refactor: remove `getCustomConfig` dependency in config route refactor: update domain validation to use appConfig for allowed domains refactor: use appConfig registration property chore: remove app parameter from AppService invocation refactor: update AppConfig interface to correct registration and turnstile configurations refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration ci: update related tests refactor: update getAppConfig call in getCustomConfigSpeech to include user role fix: update appConfig usage to access allowedDomains from actions instead of registration refactor: enhance AppConfig to include fileStrategies and update related file strategy logic refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions chore: remove deprecated unused RunManager refactor: get balance config primarily from appConfig refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic refactor: remove getCustomConfig usage and use app config in file citations refactor: consolidate endpoint loading logic into loadEndpoints function refactor: update appConfig access to use endpoints structure across various services refactor: implement custom endpoints configuration and streamline endpoint loading logic refactor: update getAppConfig call to include user role parameter refactor: streamline endpoint configuration and enhance appConfig usage across services refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file refactor: add type annotation for loadedEndpoints in loadEndpoints function refactor: move /services/Files/images/parse to TS API chore: add missing FILE_CITATIONS permission to IRole interface refactor: restructure toolkits to TS API refactor: separate manifest logic into its own module refactor: consolidate tool loading logic into a new tools module for startup logic refactor: move interface config logic to TS API refactor: migrate checkEmailConfig to TypeScript and update imports refactor: add FunctionTool interface and availableTools to AppConfig refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig` WIP: fix tests * fix: rebase conflicts * refactor: remove app.locals references * refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware * refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients * test: add balance configuration to titleConvo method in AgentClient tests * chore: remove unused `openai-chat-tokens` package * chore: remove unused imports in initializeMCPs.js * refactor: update balance configuration to use getAppConfig instead of getBalanceConfig * refactor: integrate configMiddleware for centralized configuration handling * refactor: optimize email domain validation by removing unnecessary async calls * refactor: simplify multer storage configuration by removing async calls * refactor: reorder imports for better readability in user.js * refactor: replace getAppConfig calls with req.config for improved performance * chore: replace getAppConfig calls with req.config in tests for centralized configuration handling * chore: remove unused override config * refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config * chore: remove customConfig parameter from TTSService constructor * refactor: pass appConfig from request to processFileCitations for improved configuration handling * refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config` * test: add mockAppConfig to processFileCitations tests for improved configuration handling * fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor * fix: type safety in useExportConversation * refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached * chore: change `MongoUser` typedef to `IUser` * fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest * fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00
const { isEnabled, getBalanceConfig } = require('@librechat/api');
🏗️ 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
const { User } = require('@librechat/data-schemas').createModels(mongoose);
require('module-alias')({ base: path.resolve(__dirname, '..', 'api') });
🏗️ 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
const { createTransaction } = require('~/models/Transaction');
🛜 refactor: Streamline App Config Usage (#9234) * WIP: app.locals refactoring WIP: appConfig fix: update memory configuration retrieval to use getAppConfig based on user role fix: update comment for AppConfig interface to clarify purpose 🏷️ refactor: Update tests to use getAppConfig for endpoint configurations ci: Update AppService tests to initialize app config instead of app.locals ci: Integrate getAppConfig into remaining tests refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests refactor: Rename initializeAppConfig to setAppConfig and update related tests ci: Mock getAppConfig in various tests to provide default configurations refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests chore: rename `Config/getAppConfig` -> `Config/app` fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters chore: correct parameter documentation for imageOutputType in ToolService.js refactor: remove `getCustomConfig` dependency in config route refactor: update domain validation to use appConfig for allowed domains refactor: use appConfig registration property chore: remove app parameter from AppService invocation refactor: update AppConfig interface to correct registration and turnstile configurations refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration ci: update related tests refactor: update getAppConfig call in getCustomConfigSpeech to include user role fix: update appConfig usage to access allowedDomains from actions instead of registration refactor: enhance AppConfig to include fileStrategies and update related file strategy logic refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions chore: remove deprecated unused RunManager refactor: get balance config primarily from appConfig refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic refactor: remove getCustomConfig usage and use app config in file citations refactor: consolidate endpoint loading logic into loadEndpoints function refactor: update appConfig access to use endpoints structure across various services refactor: implement custom endpoints configuration and streamline endpoint loading logic refactor: update getAppConfig call to include user role parameter refactor: streamline endpoint configuration and enhance appConfig usage across services refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file refactor: add type annotation for loadedEndpoints in loadEndpoints function refactor: move /services/Files/images/parse to TS API chore: add missing FILE_CITATIONS permission to IRole interface refactor: restructure toolkits to TS API refactor: separate manifest logic into its own module refactor: consolidate tool loading logic into a new tools module for startup logic refactor: move interface config logic to TS API refactor: migrate checkEmailConfig to TypeScript and update imports refactor: add FunctionTool interface and availableTools to AppConfig refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig` WIP: fix tests * fix: rebase conflicts * refactor: remove app.locals references * refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware * refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients * test: add balance configuration to titleConvo method in AgentClient tests * chore: remove unused `openai-chat-tokens` package * chore: remove unused imports in initializeMCPs.js * refactor: update balance configuration to use getAppConfig instead of getBalanceConfig * refactor: integrate configMiddleware for centralized configuration handling * refactor: optimize email domain validation by removing unnecessary async calls * refactor: simplify multer storage configuration by removing async calls * refactor: reorder imports for better readability in user.js * refactor: replace getAppConfig calls with req.config for improved performance * chore: replace getAppConfig calls with req.config in tests for centralized configuration handling * chore: remove unused override config * refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config * chore: remove customConfig parameter from TTSService constructor * refactor: pass appConfig from request to processFileCitations for improved configuration handling * refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config` * test: add mockAppConfig to processFileCitations tests for improved configuration handling * fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor * fix: type safety in useExportConversation * refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached * chore: change `MongoUser` typedef to `IUser` * fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest * fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00
const { getAppConfig } = require('~/server/services/Config');
const { askQuestion, silentExit } = require('./helpers');
const connect = require('./connect');
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
(async () => {
await connect();
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
/**
* Show the welcome / help menu
*/
console.purple('--------------------------');
console.purple('Add balance to a user account!');
console.purple('--------------------------');
/**
* Set up the variables we need and get the arguments if they were passed in
*/
let email = '';
let amount = '';
// If we have the right number of arguments, lets use them
if (process.argv.length >= 3) {
email = process.argv[2];
amount = process.argv[3];
} else {
console.orange('Usage: npm run add-balance <email> <amount>');
console.orange('Note: if you do not pass in the arguments, you will be prompted for them.');
console.purple('--------------------------');
// console.purple(`[DEBUG] Args Length: ${process.argv.length}`);
}
if (!process.env.CHECK_BALANCE) {
console.red(
'Error: CHECK_BALANCE environment variable is not set! Configure it to use it: `CHECK_BALANCE=true`',
);
silentExit(1);
}
if (isEnabled(process.env.CHECK_BALANCE) === false) {
console.red(
'Error: CHECK_BALANCE environment variable is set to `false`! Please configure: `CHECK_BALANCE=true`',
);
silentExit(1);
}
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
/**
* If we don't have the right number of arguments, lets prompt the user for them
*/
if (!email) {
email = await askQuestion('Email:');
}
// Validate the email
if (!email.includes('@')) {
console.red('Error: Invalid email address!');
silentExit(1);
}
if (!amount) {
amount = await askQuestion('amount: (default is 1000 tokens if empty or 0)');
}
// Validate the amount
if (!amount) {
amount = 1000;
}
// Validate the user
const user = await User.findOne({ email }).lean();
if (!user) {
console.red('Error: No user with that email was found!');
silentExit(1);
} else {
console.purple(`Found user: ${user.email}`);
}
/**
* Now that we have all the variables we need, lets create the transaction and update the balance
*/
let result;
try {
🛜 refactor: Streamline App Config Usage (#9234) * WIP: app.locals refactoring WIP: appConfig fix: update memory configuration retrieval to use getAppConfig based on user role fix: update comment for AppConfig interface to clarify purpose 🏷️ refactor: Update tests to use getAppConfig for endpoint configurations ci: Update AppService tests to initialize app config instead of app.locals ci: Integrate getAppConfig into remaining tests refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests refactor: Rename initializeAppConfig to setAppConfig and update related tests ci: Mock getAppConfig in various tests to provide default configurations refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests chore: rename `Config/getAppConfig` -> `Config/app` fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters chore: correct parameter documentation for imageOutputType in ToolService.js refactor: remove `getCustomConfig` dependency in config route refactor: update domain validation to use appConfig for allowed domains refactor: use appConfig registration property chore: remove app parameter from AppService invocation refactor: update AppConfig interface to correct registration and turnstile configurations refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration ci: update related tests refactor: update getAppConfig call in getCustomConfigSpeech to include user role fix: update appConfig usage to access allowedDomains from actions instead of registration refactor: enhance AppConfig to include fileStrategies and update related file strategy logic refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions chore: remove deprecated unused RunManager refactor: get balance config primarily from appConfig refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic refactor: remove getCustomConfig usage and use app config in file citations refactor: consolidate endpoint loading logic into loadEndpoints function refactor: update appConfig access to use endpoints structure across various services refactor: implement custom endpoints configuration and streamline endpoint loading logic refactor: update getAppConfig call to include user role parameter refactor: streamline endpoint configuration and enhance appConfig usage across services refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file refactor: add type annotation for loadedEndpoints in loadEndpoints function refactor: move /services/Files/images/parse to TS API chore: add missing FILE_CITATIONS permission to IRole interface refactor: restructure toolkits to TS API refactor: separate manifest logic into its own module refactor: consolidate tool loading logic into a new tools module for startup logic refactor: move interface config logic to TS API refactor: migrate checkEmailConfig to TypeScript and update imports refactor: add FunctionTool interface and availableTools to AppConfig refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig` WIP: fix tests * fix: rebase conflicts * refactor: remove app.locals references * refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware * refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients * test: add balance configuration to titleConvo method in AgentClient tests * chore: remove unused `openai-chat-tokens` package * chore: remove unused imports in initializeMCPs.js * refactor: update balance configuration to use getAppConfig instead of getBalanceConfig * refactor: integrate configMiddleware for centralized configuration handling * refactor: optimize email domain validation by removing unnecessary async calls * refactor: simplify multer storage configuration by removing async calls * refactor: reorder imports for better readability in user.js * refactor: replace getAppConfig calls with req.config for improved performance * chore: replace getAppConfig calls with req.config in tests for centralized configuration handling * chore: remove unused override config * refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config * chore: remove customConfig parameter from TTSService constructor * refactor: pass appConfig from request to processFileCitations for improved configuration handling * refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config` * test: add mockAppConfig to processFileCitations tests for improved configuration handling * fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor * fix: type safety in useExportConversation * refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached * chore: change `MongoUser` typedef to `IUser` * fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest * fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00
const appConfig = await getAppConfig();
const balanceConfig = getBalanceConfig(appConfig);
🏗️ 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
result = await createTransaction({
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
user: user._id,
tokenType: 'credits',
context: 'admin',
rawAmount: +amount,
🛜 refactor: Streamline App Config Usage (#9234) * WIP: app.locals refactoring WIP: appConfig fix: update memory configuration retrieval to use getAppConfig based on user role fix: update comment for AppConfig interface to clarify purpose 🏷️ refactor: Update tests to use getAppConfig for endpoint configurations ci: Update AppService tests to initialize app config instead of app.locals ci: Integrate getAppConfig into remaining tests refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests refactor: Rename initializeAppConfig to setAppConfig and update related tests ci: Mock getAppConfig in various tests to provide default configurations refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests chore: rename `Config/getAppConfig` -> `Config/app` fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters chore: correct parameter documentation for imageOutputType in ToolService.js refactor: remove `getCustomConfig` dependency in config route refactor: update domain validation to use appConfig for allowed domains refactor: use appConfig registration property chore: remove app parameter from AppService invocation refactor: update AppConfig interface to correct registration and turnstile configurations refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration ci: update related tests refactor: update getAppConfig call in getCustomConfigSpeech to include user role fix: update appConfig usage to access allowedDomains from actions instead of registration refactor: enhance AppConfig to include fileStrategies and update related file strategy logic refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions chore: remove deprecated unused RunManager refactor: get balance config primarily from appConfig refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic refactor: remove getCustomConfig usage and use app config in file citations refactor: consolidate endpoint loading logic into loadEndpoints function refactor: update appConfig access to use endpoints structure across various services refactor: implement custom endpoints configuration and streamline endpoint loading logic refactor: update getAppConfig call to include user role parameter refactor: streamline endpoint configuration and enhance appConfig usage across services refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file refactor: add type annotation for loadedEndpoints in loadEndpoints function refactor: move /services/Files/images/parse to TS API chore: add missing FILE_CITATIONS permission to IRole interface refactor: restructure toolkits to TS API refactor: separate manifest logic into its own module refactor: consolidate tool loading logic into a new tools module for startup logic refactor: move interface config logic to TS API refactor: migrate checkEmailConfig to TypeScript and update imports refactor: add FunctionTool interface and availableTools to AppConfig refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig` WIP: fix tests * fix: rebase conflicts * refactor: remove app.locals references * refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware * refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients * test: add balance configuration to titleConvo method in AgentClient tests * chore: remove unused `openai-chat-tokens` package * chore: remove unused imports in initializeMCPs.js * refactor: update balance configuration to use getAppConfig instead of getBalanceConfig * refactor: integrate configMiddleware for centralized configuration handling * refactor: optimize email domain validation by removing unnecessary async calls * refactor: simplify multer storage configuration by removing async calls * refactor: reorder imports for better readability in user.js * refactor: replace getAppConfig calls with req.config for improved performance * chore: replace getAppConfig calls with req.config in tests for centralized configuration handling * chore: remove unused override config * refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config * chore: remove customConfig parameter from TTSService constructor * refactor: pass appConfig from request to processFileCitations for improved configuration handling * refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config` * test: add mockAppConfig to processFileCitations tests for improved configuration handling * fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor * fix: type safety in useExportConversation * refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached * chore: change `MongoUser` typedef to `IUser` * fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest * fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00
balance: balanceConfig,
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
});
} catch (error) {
console.red('Error: ' + error.message);
console.error(error);
silentExit(1);
}
// Check the result
if (!result?.balance) {
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
console.red('Error: Something went wrong while updating the balance!');
console.error(result);
silentExit(1);
}
// Done!
console.green('Transaction created successfully!');
console.purple(`Amount: ${amount}
New Balance: ${result.balance}`);
feat: Accurate Token Usage Tracking & Optional Balance (#1018) * 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
2023-10-05 18:34:10 -04:00
silentExit(0);
})();
process.on('uncaughtException', (err) => {
if (!err.message.includes('fetch failed')) {
console.error('There was an uncaught error:');
console.error(err);
}
if (err.message.includes('fetch failed')) {
return;
} else {
process.exit(1);
}
});