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5 commits
| Author | SHA1 | Message | Date | |
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Danny Avila
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1a815f5e19
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🎉 feat: Code Interpreter API and Agents Release (#4860)
* feat: Code Interpreter API & File Search Agent Uploads chore: add back code files wip: first pass, abstract key dialog refactor: influence checkbox on key changes refactor: update localization keys for 'execute code' to 'run code' wip: run code button refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions feat: first pass, API tool calling fix: handle missing toolId in callTool function and return 404 for non-existent tools feat: show code outputs fix: improve error handling in callTool function and log errors fix: handle potential null value for filepath in attachment destructuring fix: normalize language before rendering and prevent null return fix: add loading indicator in RunCode component while executing code feat: add support for conditional code execution in Markdown components feat: attachments refactor: remove bash fix: pass abort signal to graph/run refactor: debounce and rate limit tool call refactor: increase debounce delay for execute function feat: set code output attachments feat: image attachments refactor: apply message context refactor: pass `partIndex` feat: toolCall schema/model/methods feat: block indexing feat: get tool calls chore: imports chore: typing chore: condense type imports feat: get tool calls fix: block indexing chore: typing refactor: update tool calls mapping to support multiple results fix: add unique key to nav link for rendering wip: first pass, tool call results refactor: update query cache from successful tool call mutation style: improve result switcher styling chore: note on using \`.toObject()\` feat: add agent_id field to conversation schema chore: typing refactor: rename agentMap to agentsMap for consistency feat: Agent Name as chat input placeholder chore: bump agents 📦 chore: update @langchain dependencies to latest versions to match agents package 📦 chore: update @librechat/agents dependency to version 1.8.0 fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads feat: upload menu feat: prime message_file resources feat: implement conversation access validation in chat route refactor: remove file parameter from processFileUpload and use req.file instead feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db feat: prevent duplicate message saves by checking savedMessageIds in AgentController refactor: skip legacy RAG API handling for agents feat: add files field to convoSchema refactor: update request type annotations from Express.Request to ServerRequest in file processing functions feat: track conversation files fix: resendFiles, addPreviousAttachments handling feat: add ID validation for session_id and file_id in download route feat: entity_id for code file uploads/downloads fix: code file edge cases feat: delete related tool calls feat: add stream rate handling for LLM configuration feat: enhance system content with attached file information fix: improve error logging in resource priming function * WIP: PoC, sequential agents WIP: PoC Sequential Agents, first pass content data + bump agents package fix: package-lock WIP: PoC, o1 support, refactor bufferString feat: convertJsonSchemaToZod fix: form issues and schema defining erroneous model fix: max length issue on agent form instructions, limit conversation messages to sequential agents feat: add abort signal support to createRun function and AgentClient feat: PoC, hide prior sequential agent steps fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data refactor: use only last contentData, track model for usage data chore: bump agents package fix: content parts issue refactor: filter contentParts to include tool calls and relevant indices feat: show function calls refactor: filter context messages to exclude tool calls when no tools are available to the agent fix: ensure tool call content is not undefined in formatMessages feat: add agent_id field to conversationPreset schema feat: hide sequential agents feat: increase upload toast duration to 10 seconds * refactor: tool context handling & update Code API Key Dialog feat: toolContextMap chore: skipSpecs -> useSpecs ci: fix handleTools tests feat: API Key Dialog * feat: Agent Permissions Admin Controls feat: replace label with button for prompt permission toggle feat: update agent permissions feat: enable experimental agents and streamline capability configuration feat: implement access control for agents and enhance endpoint menu items feat: add welcome message for agent selection in localization feat: add agents permission to access control and update version to 0.7.57 * fix: update types in useAssistantListMap and useMentions hooks for better null handling * feat: mention agents * fix: agent tool resource race conditions when deleting agent tool resource files * feat: add error handling for code execution with user feedback * refactor: rename AdminControls to AdminSettings for clarity * style: add gap to button in AdminSettings for improved layout * refactor: separate agent query hooks and check access to enable fetching * fix: remove unused provider from agent initialization options, creates issue with custom endpoints * refactor: remove redundant/deprecated modelOptions from AgentClient processes * chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json * fix: minor styling issues + agent panel uniformity * fix: agent edge cases when set endpoint is no longer defined * refactor: remove unused cleanup function call from AppService * fix: update link in ApiKeyDialog to point to pricing page * fix: improve type handling and layout calculations in SidePanel component * fix: add missing localization string for agent selection in SidePanel * chore: form styling and localizations for upload filesearch/code interpreter * fix: model selection placeholder logic in AgentConfig component * style: agent capabilities * fix: add localization for provider selection and improve dropdown styling in ModelPanel * refactor: use gpt-4o-mini > gpt-3.5-turbo * fix: agents configuration for loadDefaultInterface and update related tests * feat: DALLE Agents support |
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Danny Avila
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95201908e9
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📦 fix: npm warnings; chore: bump deprecated packages (#4707)
* chore: bump langchain deps to address vulnerability warnings * chore: bump community package and install textsplitters package * fix: update expected result in tokenSplit tests for accuracy * chore: remove CodeSherpa tools * chore: remove E2B tools and loadToolSuite * chore: remove CodeBrew tool and update related references * chore: remove HumanTool and ChatTool, update tool references * chore: remove Zapier tool from manifest.json and update SerpAPI * chore: remove basic tools * chore: update import path for RecursiveCharacterTextSplitter * chore: update import path for DynamicStructuredTool * chore: remove extractionChain.js and update tool filtering logic * chore: npm audit fix * chore: bump google packages * chore: update DALL-E tool to DALL-E-3 and adjust authentication logic * ci: update message classes * chore: elliptic npm audit fix * chore: update CallbackManager import and remove deprecated tool handling logic * chore: imports order * chore: remove unused code --------- Co-authored-by: Max Sanna <max@maxsanna.com> |
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Danny Avila
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ea1dd59ef4
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refactor(api): Central Logging 📜 (#1348)
* WIP: initial logging changes add several transports in ~/config/winston omit messages in logs, truncate long strings add short blurb in dotenv for debug logging GoogleClient: using logger OpenAIClient: using logger, handleOpenAIErrors Adding typedef for payload message bumped winston and using winston-daily-rotate-file moved config for server paths to ~/config dir Added `DEBUG_LOGGING=true` to .env.example * WIP: Refactor logging statements in code * WIP: Refactor logging statements and import configurations * WIP: Refactor logging statements and import configurations * refactor: broadcast Redis initialization message with `info` not `debug` * refactor: complete Refactor logging statements and import configurations * chore: delete unused tools * fix: circular dependencies due to accessing logger * refactor(handleText): handle booleans and write tests * refactor: redact sensitive values, better formatting * chore: improve log formatting, avoid passing strings to 2nd arg * fix(ci): fix jest tests due to logger changes * refactor(getAvailablePluginsController): cache plugins as they are static and avoids async addOpenAPISpecs call every time * chore: update docs * chore: update docs * chore: create separate meiliSync logger, clean up logs to avoid being unnecessarily verbose * chore: spread objects where they are commonly logged to allow string truncation * chore: improve error log formatting |
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Danny Avila
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365c39c405
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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 |
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Danny Avila
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317a1bd8da
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feat: ConversationSummaryBufferMemory (#973)
* refactor: pass model in message edit payload, use encoder in standalone util function * feat: add summaryBuffer helper * refactor(api/messages): use new countTokens helper and add auth middleware at top * wip: ConversationSummaryBufferMemory * refactor: move pre-generation helpers to prompts dir * chore: remove console log * chore: remove test as payload will no longer carry tokenCount * chore: update getMessagesWithinTokenLimit JSDoc * refactor: optimize getMessagesForConversation and also break on summary, feat(ci): getMessagesForConversation tests * refactor(getMessagesForConvo): count '00000000-0000-0000-0000-000000000000' as root message * chore: add newer model to token map * fix: condition was point to prop of array instead of message prop * refactor(BaseClient): use object for refineMessages param, rename 'summary' to 'summaryMessage', add previous_summary refactor(getMessagesWithinTokenLimit): replace text and tokenCount if should summarize, summary, and summaryTokenCount are present fix/refactor(handleContextStrategy): use the right comparison length for context diff, and replace payload first message when a summary is present * chore: log previous_summary if debugging * refactor(formatMessage): assume if role is defined that it's a valid value * refactor(getMessagesWithinTokenLimit): remove summary logic refactor(handleContextStrategy): add usePrevSummary logic in case only summary was pruned refactor(loadHistory): initial message query will return all ordered messages but keep track of the latest summary refactor(getMessagesForConversation): use object for single param, edit jsdoc, edit all files using the method refactor(ChatGPTClient): order messages before buildPrompt is called, TODO: add convoSumBuffMemory logic * fix: undefined handling and summarizing only when shouldRefineContext is true * chore(BaseClient): fix test results omitting system role for summaries and test edge case * chore: export summaryBuffer from index file * refactor(OpenAIClient/BaseClient): move refineMessages to subclass, implement LLM initialization for summaryBuffer * feat: add OPENAI_SUMMARIZE to enable summarizing, refactor: rename client prop 'shouldRefineContext' to 'shouldSummarize', change contextStrategy value to 'summarize' from 'refine' * refactor: rename refineMessages method to summarizeMessages for clarity * chore: clarify summary future intent in .env.example * refactor(initializeLLM): handle case for either 'model' or 'modelName' being passed * feat(gptPlugins): enable summarization for plugins * refactor(gptPlugins): utilize new initializeLLM method and formatting methods for messages, use payload array for currentMessages and assign pastMessages sooner * refactor(agents): use ConversationSummaryBufferMemory for both agent types * refactor(formatMessage): optimize original method for langchain, add helper function for langchain messages, add JSDocs and tests * refactor(summaryBuffer): add helper to createSummaryBufferMemory, and use new formatting helpers * fix: forgot to spread formatMessages also took opportunity to pluralize filename * refactor: pass memory to tools, namely openapi specs. not used and may never be used by new method but added for testing * ci(formatMessages): add more exhaustive checks for langchain messages * feat: add debug env var for OpenAI * chore: delete unnecessary comments * chore: add extra note about summary feature * fix: remove tokenCount from payload instructions * fix: test fail * fix: only pass instructions to payload when defined or not empty object * refactor: fromPromptMessages is deprecated, use renamed method fromMessages * refactor: use 'includes' instead of 'startsWith' for extended OpenRouter compatibility * fix(PluginsClient.buildPromptBody): handle undefined message strings * chore: log langchain titling error * feat: getModelMaxTokens helper * feat: tokenSplit helper * feat: summary prompts updated * fix: optimize _CUT_OFF_SUMMARIZER prompt * refactor(summaryBuffer): use custom summary prompt, allow prompt to be passed, pass humanPrefix and aiPrefix to memory, along with any future variables, rename messagesToRefine to context * fix(summaryBuffer): handle edge case where messagesToRefine exceeds summary context, refactor(BaseClient): allow custom maxContextTokens to be passed to getMessagesWithinTokenLimit, add defined check before unshifting summaryMessage, update shouldSummarize based on this refactor(OpenAIClient): use getModelMaxTokens, use cut-off message method for summary if no messages were left after pruning * fix(handleContextStrategy): handle case where incoming prompt is bigger than model context * chore: rename refinedContent to splitText * chore: remove unnecessary debug log |