* feat: o1 default response sender string
* feat: add o1 models to default openai models list, add `no_system_messages` error type; refactor: use error type as localization key
* refactor(MessageEndpointIcon): differentiate openAI icon model color for o1 models
* refactor(AnthropicClient): use new input/output tokens keys; add prompt caching for claude-3-opus
* refactor(BaseClient): to use new input/output tokens keys; update typedefs
* feat: initial o1 model handling, including token cost complexity
* EXPERIMENTAL: special handling for o1 model with custom instructions
* feat: Add BedrockIcon component to SVG library
* feat: EModelEndpoint.bedrock
* feat: first pass, bedrock chat. note: AgentClient is returning `agents` as conversation.endpoint
* fix: declare endpoint in initialization step
* chore: Update @librechat/agents dependency to version 1.4.5
* feat: backend content aggregation for agents/bedrock
* feat: abort agent requests
* feat: AWS Bedrock icons
* WIP: agent provider schema parsing
* chore: Update EditIcon props type
* refactor(useGenerationsByLatest): make agents and bedrock editable
* refactor: non-assistant message content, parts
* fix: Bedrock response `sender`
* fix: use endpointOption.model_parameters not endpointOption.modelOptions
* fix: types for step handler
* refactor: Update Agents.ToolCallDelta type
* refactor: Remove unnecessary assignment of parentMessageId in AskController
* refactor: remove unnecessary assignment of parentMessageId (agent request handler)
* fix(bedrock/agents): message regeneration
* refactor: dynamic form elements using react-hook-form Controllers
* fix: agent icons/labels for messages
* fix: agent actions
* fix: use of new dynamic tags causing application crash
* refactor: dynamic settings touch-ups
* refactor: update Slider component to allow custom track class name
* refactor: update DynamicSlider component styles
* refactor: use Constants value for GLOBAL_PROJECT_NAME (enum)
* feat: agent share global methods/controllers
* fix: agents query
* fix: `getResponseModel`
* fix: share prompt a11y issue
* refactor: update SharePrompt dialog theme styles
* refactor: explicit typing for SharePrompt
* feat: add agent roles/permissions
* chore: update @librechat/agents dependency to version 1.4.7 for tool_call_ids edge case
* fix(Anthropic): messages.X.content.Y.tool_use.input: Input should be a valid dictionary
* fix: handle text parts with tool_call_ids and empty text
* fix: role initialization
* refactor: don't make instructions required
* refactor: improve typing of Text part
* fix: setShowStopButton for agents route
* chore: remove params for now
* fix: add streamBuffer and streamRate to help prevent 'Overloaded' errors from Anthropic API
* refactor: remove console.log statement in ContentRender component
* chore: typing, rename Context to Delete Button
* chore(DeleteButton): logging
* refactor(Action): make accessible
* style(Action): improve a11y again
* refactor: remove use/mention of mongoose sessions
* feat: first pass, sharing agents
* feat: visual indicator for global agent, remove author when serving to non-author
* wip: params
* chore: fix typing issues
* fix(schemas): typing
* refactor: improve accessibility of ListCard component and fix console React warning
* wip: reset templates for non-legacy new convos
* Revert "wip: params"
This reverts commit f8067e91d4.
* Revert "refactor: dynamic form elements using react-hook-form Controllers"
This reverts commit 2150c4815d.
* fix(Parameters): types and parameter effect update to only update local state to parameters
* refactor: optimize useDebouncedInput hook for better performance
* feat: first pass, anthropic bedrock params
* chore: paramEndpoints check for endpointType too
* fix: maxTokens to use coerceNumber.optional(),
* feat: extra chat model params
* chore: reduce code repetition
* refactor: improve preset title handling in SaveAsPresetDialog component
* refactor: improve preset handling in HeaderOptions component
* chore: improve typing, replace legacy dialog for SaveAsPresetDialog
* feat: save as preset from parameters panel
* fix: multi-search in select dropdown when using Option type
* refactor: update default showDefault value to false in Dynamic components
* feat: Bedrock presets settings
* chore: config, fix agents schema, update config version
* refactor: update AWS region variable name in bedrock options endpoint to BEDROCK_AWS_DEFAULT_REGION
* refactor: update baseEndpointSchema in config.ts to include baseURL property
* refactor: update createRun function to include req parameter and set streamRate based on provider
* feat: availableRegions via config
* refactor: remove unused demo agent controller file
* WIP: title
* Update @librechat/agents to version 1.5.0
* chore: addTitle.js to handle empty responseText
* feat: support images and titles
* feat: context token updates
* Refactor BaseClient test to use expect.objectContaining
* refactor: add model select, remove header options params, move side panel params below prompts
* chore: update models list, catch title error
* feat: model service for bedrock models (env)
* chore: Remove verbose debug log in AgentClient class following stream
* feat(bedrock): track token spend; fix: token rates, value key mapping for AWS models
* refactor: handle streamRate in `handleLLMNewToken` callback
* chore: AWS Bedrock example config in `.env.example`
* refactor: Rename bedrockMeta to bedrockGeneral in settings.ts and use for AI21 and Amazon Bedrock providers
* refactor: Update `.env.example` with AWS Bedrock model IDs URL and additional notes
* feat: titleModel support for bedrock
* refactor: Update `.env.example` with additional notes for AWS Bedrock model IDs
* wip: initial cache control implementation, add typing for transactions handling
* feat: first pass of Anthropic Prompt Caching
* feat: standardize stream usage as pass in when calculating token counts
* feat: Add getCacheMultiplier function to calculate cache multiplier for different valueKeys and cacheTypes
* chore: imports order
* refactor: token usage recording in AnthropicClient, no need to "correct" as we have the correct amount
* feat: more accurate token counting using stream usage data
* feat: Improve token counting accuracy with stream usage data
* refactor: ensure more accurate than not token estimations if custom instructions or files are not being resent with every request
* refactor: cleanup updateUserMessageTokenCount to allow transactions to be as accurate as possible even if we shouldn't update user message token counts
* ci: fix tests
* feat: gpt-4o-2024-08-06 pricing for tx
* feat: add AWS models to tokenValues in tx.js for pricing transactions
* feat: Update tokenValues in tx.js for AWS models pricing
* refactor: add bedrock prefix values as well (temporary until we update value keys which includes context)
* feat: `gpt-4o-mini`
* feat: retrival
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
* fix: add jsdoc
* fix: Update order of model token values for 'gpt-4o' and 'gpt-4o-mini'
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* 🚀 feat: gpt-4o
* update readme.md
* feat: Add new test case for getMultiplier function
* feat: Refactor getMultiplier function to use valueKey variable
* WIP: gemini-1.5 support
* feat: extended vertex ai support
* fix: handle possibly undefined modelName
* fix: gpt-4-turbo-preview invalid vision model
* feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type
* feat: better truncation for errors including base64 strings
* fix: gemini inlineData formatting
* feat: RAG augmented prompt for gemini-1.5
* feat: gemini-1.5 rates and token window
* chore: adjust tokens, update docs, update vision Models
* chore: add back `ChatGoogleVertexAI` for chat models via vertex ai
* refactor: ask/edit controllers to not use `unfinished` field for google endpoint
* chore: remove comment
* chore(ci): fix AppService test
* chore: remove comment
* refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable
* chore: bump data-provider to 0.5.4
* chore: update docs
* fix: condition for gemini-1.5 using generative ai lib
* chore: update docs
* ci: add additional AppService test for `imageOutputType`
* refactor: optimize new config value `imageOutputType`
* chore: bump CONFIG_VERSION
* fix(assistants): avatar upload
* chore: bump anthropic SDK
* chore: update anthropic config settings (fileSupport, default models)
* feat: anthropic multi modal formatting
* refactor: update vision models and use endpoint specific max long side resizing
* feat(anthropic): multimodal messages, retry logic, and messages payload
* chore: add more safety to trimming content due to whitespace error for assistant messages
* feat(anthropic): token accounting and resending multiple images in progress
* chore: bump data-provider
* feat(anthropic): resendImages feature
* chore: optimize Edit/Ask controllers, switch model back to req model
* fix: false positive of invalid model
* refactor(validateVisionModel): use object as arg, pass in additional/available models
* refactor(validateModel): use helper function, `getModelsConfig`
* feat: add modelsConfig to endpointOption so it gets passed to all clients, use for properly validating vision models
* refactor: initialize default vision model and make sure it's available before assigning it
* refactor(useSSE): avoid resetting model if user selected a new model between request and response
* feat: show rate in transaction logging
* fix: return tokenCountMap regardless of payload shape
* feat: update PaLM icons
* feat: add additional google models
* POC: formatting inputs for Vertex AI streaming
* refactor: move endpoints services outside of /routes dir to /services/Endpoints
* refactor: shorten schemas import
* refactor: rename PALM to GOOGLE
* feat: make Google editable endpoint
* feat: reusable Ask and Edit controllers based off Anthropic
* chore: organize imports/logic
* fix(parseConvo): include examples in googleSchema
* fix: google only allows odd number of messages to be sent
* fix: pass proxy to AnthropicClient
* refactor: change `google` altName to `Google`
* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values
* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)
* feat: google support for maxTokensMap
* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient
* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain
* chore(GoogleClient): remove comments, left before for reference in git history
* docs: update google instructions (WIP)
* docs(apis_and_tokens.md): add images to google instructions
* docs: remove typo apis_and_tokens.md
* Update apis_and_tokens.md
* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models
* chore: update more PaLM references to Google
* chore: move playwright out of workflows to avoid failing tests
* chore: update model rates with 11/06 rates
* chore: add new models to env.example for OPENAI_MODELS
* chore: reference actual maxTokensMap in ci tests
* 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
