refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
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const { ChatOpenAI } = require('langchain/chat_models/openai');
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2023-11-04 15:03:31 -04:00
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const { sanitizeModelName } = require('../../../utils');
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2023-11-10 09:58:17 -05:00
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const { isEnabled } = require('../../../server/utils');
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refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
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2023-11-10 09:58:17 -05:00
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/**
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* @typedef {Object} ModelOptions
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* @property {string} modelName - The name of the model.
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* @property {number} [temperature] - The temperature setting for the model.
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* @property {number} [presence_penalty] - The presence penalty setting.
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* @property {number} [frequency_penalty] - The frequency penalty setting.
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* @property {number} [max_tokens] - The maximum number of tokens to generate.
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*/
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/**
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* @typedef {Object} ConfigOptions
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* @property {string} [basePath] - The base path for the API requests.
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* @property {Object} [baseOptions] - Base options for the API requests, including headers.
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* @property {Object} [httpAgent] - The HTTP agent for the request.
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* @property {Object} [httpsAgent] - The HTTPS agent for the request.
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*/
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/**
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* @typedef {Object} Callbacks
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* @property {Function} [handleChatModelStart] - A callback function for handleChatModelStart
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* @property {Function} [handleLLMEnd] - A callback function for handleLLMEnd
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* @property {Function} [handleLLMError] - A callback function for handleLLMError
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*/
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/**
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* @typedef {Object} AzureOptions
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* @property {string} [azureOpenAIApiKey] - The Azure OpenAI API key.
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* @property {string} [azureOpenAIApiInstanceName] - The Azure OpenAI API instance name.
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* @property {string} [azureOpenAIApiDeploymentName] - The Azure OpenAI API deployment name.
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* @property {string} [azureOpenAIApiVersion] - The Azure OpenAI API version.
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*/
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/**
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* Creates a new instance of a language model (LLM) for chat interactions.
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*
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* @param {Object} options - The options for creating the LLM.
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* @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
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* @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
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* @param {Callbacks} options.callbacks - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
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* @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
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* @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
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* @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
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*
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* @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
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*
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* @example
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* const llm = createLLM({
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* modelOptions: { modelName: 'gpt-3.5-turbo', temperature: 0.2 },
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* configOptions: { basePath: 'https://example.api/path' },
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* callbacks: { onMessage: handleMessage },
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* openAIApiKey: 'your-api-key'
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* });
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*/
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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
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function createLLM({
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modelOptions,
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configOptions,
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callbacks,
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streaming = false,
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openAIApiKey,
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azure = {},
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}) {
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refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
let credentials = { openAIApiKey };
|
|
|
|
|
let configuration = {
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|
|
|
|
apiKey: openAIApiKey,
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|
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|
|
};
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|
2023-11-04 15:03:31 -04:00
|
|
|
let azureOptions = {};
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
if (azure) {
|
2023-11-10 09:58:17 -05:00
|
|
|
const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
|
|
|
|
|
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
credentials = {};
|
|
|
|
|
configuration = {};
|
2023-11-04 15:03:31 -04:00
|
|
|
azureOptions = azure;
|
2023-11-10 09:58:17 -05:00
|
|
|
|
|
|
|
|
azureOptions.azureOpenAIApiDeploymentName = useModelName
|
|
|
|
|
? sanitizeModelName(modelOptions.modelName)
|
|
|
|
|
: azureOptions.azureOpenAIApiDeploymentName;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
|
|
|
|
|
modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// console.debug('createLLM: configOptions');
|
|
|
|
|
// console.debug(configOptions);
|
|
|
|
|
|
|
|
|
|
return new ChatOpenAI(
|
|
|
|
|
{
|
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
|
|
|
streaming,
|
|
|
|
|
verbose: true,
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
credentials,
|
|
|
|
|
configuration,
|
2023-11-04 15:03:31 -04:00
|
|
|
...azureOptions,
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
...modelOptions,
|
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
|
|
|
callbacks,
|
refactor(plugins): Improve OpenAPI handling, Show Multiple Plugins, & Other Improvements (#845)
* feat(PluginsClient.js): add conversationId to options object in the constructor
feat(PluginsClient.js): add support for Code Interpreter plugin
feat(PluginsClient.js): add support for Code Interpreter plugin in the availableTools manifest
feat(CodeInterpreter.js): add CodeInterpreterTools module
feat(CodeInterpreter.js): add RunCommand class
feat(CodeInterpreter.js): add ReadFile class
feat(CodeInterpreter.js): add WriteFile class
feat(handleTools.js): add support for loading Code Interpreter plugin
* chore(api): update langchain dependency to version 0.0.123
* fix(CodeInterpreter.js): add support for extracting environment from code
fix(WriteFile.js): add support for extracting environment from data
fix(extractionChain.js): add utility functions for creating extraction chain from Zod schema
fix(handleTools.js): refactor getOpenAIKey function to handle user-provided API key
fix(handleTools.js): pass model and openAIApiKey to CodeInterpreter constructor
* fix(tools): rename CodeInterpreterTools to E2BTools
fix(tools): rename code_interpreter pluginKey to e2b_code_interpreter
* chore(PluginsClient.js): comment out unused import and function findMessageContent
feat(PluginsClient.js): add support for CodeSherpa plugin
feat(PluginsClient.js): add CodeSherpaTools to available tools
feat(PluginsClient.js): update manifest.json to include CodeSherpa plugin
feat(CodeSherpaTools.js): create RunCode and RunCommand classes for CodeSherpa plugin
feat(E2BTools.js): Add E2BTools module for extracting environment from code and running commands, reading and writing files
fix(codesherpa.js): Remove codesherpa module as it is no longer needed
feat(handleTools.js): add support for CodeSherpaTools in loadTools function
feat(loadToolSuite.js): create loadToolSuite utility function to load a suite of tools
* feat(PluginsClient.js): add support for CodeSherpa v2 plugin
feat(PluginsClient.js): add CodeSherpa v1 plugin to available tools
feat(PluginsClient.js): add CodeSherpa v2 plugin to available tools
feat(PluginsClient.js): update manifest.json for CodeSherpa v1 plugin
feat(PluginsClient.js): update manifest.json for CodeSherpa v2 plugin
feat(CodeSherpa.js): implement CodeSherpa plugin for interactive code and shell command execution
feat(CodeSherpaTools.js): implement RunCode and RunCommand plugins for CodeSherpa v1
feat(CodeSherpaTools.js): update RunCode and RunCommand plugins for CodeSherpa v2
fix(handleTools.js): add CodeSherpa import statement
fix(handleTools.js): change pluginKey from 'codesherpa' to 'codesherpa_tools'
fix(handleTools.js): remove model and openAIApiKey from options object in e2b_code_interpreter tool
fix(handleTools.js): remove openAIApiKey from options object in codesherpa_tools tool
fix(loadToolSuite.js): remove model and openAIApiKey parameters from loadToolSuite function
* feat(initializeFunctionsAgent.js): add prefix to agentArgs in initializeFunctionsAgent function
The prefix is added to the agentArgs in the initializeFunctionsAgent function. This prefix is used to provide instructions to the agent when it receives any instructions from a webpage, plugin, or other tool. The agent will notify the user immediately and ask them if they wish to carry out or ignore the instructions.
* feat(PluginsClient.js): add ChatTool to the list of tools if it meets the conditions
feat(tools/index.js): import and export ChatTool
feat(ChatTool.js): create ChatTool class with necessary properties and methods
* fix(initializeFunctionsAgent.js): update PREFIX message to include sharing all output from the tool
fix(E2BTools.js): update descriptions for RunCommand, ReadFile, and WriteFile plugins to provide more clarity and context
* chore: rebuild package-lock after rebase
* chore: remove deleted file from rebase
* wip: refactor plugin message handling to mirror chat.openai.com, handle incoming stream for plugin use
* wip: new plugin handling
* wip: show multiple plugins handling
* feat(plugins): save new plugins array
* chore: bump langchain
* feat(experimental): support streaming in between plugins
* refactor(PluginsClient): factor out helper methods to avoid bloating the class, refactor(gptPlugins): use agent action for mapping the name of action
* fix(handleTools): fix tests by adding condition to return original toolFunctions map
* refactor(MessageContent): Allow the last index to be last in case it has text (may change with streaming)
* feat(Plugins): add handleParsingErrors, useful when LLM does not invoke function params
* chore: edit out experimental codesherpa integration
* refactor(OpenAPIPlugin): rework tool to be 'function-first', as the spec functions are explicitly passed to agent model
* refactor(initializeFunctionsAgent): improve error handling and system message
* refactor(CodeSherpa, Wolfram): optimize token usage by delegating bulk of instructions to system message
* style(Plugins): match official style with input/outputs
* chore: remove unnecessary console logs used for testing
* fix(abortMiddleware): render markdown when message is aborted
* feat(plugins): add BrowserOp
* refactor(OpenAPIPlugin): improve prompt handling
* fix(useGenerations): hide edit button when message is submitting/streaming
* refactor(loadSpecs): optimize OpenAPI spec loading by only loading requested specs instead of all of them
* fix(loadSpecs): will retain original behavior when no tools are passed to the function
* fix(MessageContent): ensure cursor only shows up for last message and last display index
fix(Message): show legacy plugin and pass isLast to Content
* chore: remove console.logs
* docs: update docs based on breaking changes and new features
refactor(structured/SD): use description_for_model for detailed prompting
* docs(azure): make plugins section more clear
* refactor(structured/SD): change default payload to SD-WebUI to prefer realism and config for SDXL
* refactor(structured/SD): further improve system message prompt
* docs: update breaking changes after rebase
* refactor(MessageContent): factor out EditMessage, types, Container to separate files, rename Content -> Markdown
* fix(CodeInterpreter): linting errors
* chore: reduce browser console logs from message streams
* chore: re-enable debug logs for plugins/langchain to help with user troubleshooting
* chore(manifest.json): add [Experimental] tag to CodeInterpreter plugins, which are not intended as the end-all be-all implementation of this feature for Librechat
2023-08-28 12:03:08 -04:00
|
|
|
},
|
|
|
|
|
configOptions,
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
module.exports = createLLM;
|