LibreChat/packages/api/src/utils/tokenizer.ts

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🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
import { logger } from '@librechat/data-schemas';
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
import { Tokenizer as AiTokenizer } from 'ai-tokenizer';
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
export type EncodingName = 'o200k_base' | 'claude';
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
type EncodingData = ConstructorParameters<typeof AiTokenizer>[0];
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
class Tokenizer {
private tokenizersCache: Partial<Record<EncodingName, AiTokenizer>> = {};
private loadingPromises: Partial<Record<EncodingName, Promise<void>>> = {};
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
/** Pre-loads an encoding so that subsequent getTokenCount calls are accurate. */
async initEncoding(encoding: EncodingName): Promise<void> {
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
if (this.tokenizersCache[encoding]) {
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
return;
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
}
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
if (this.loadingPromises[encoding]) {
return this.loadingPromises[encoding];
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
}
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
this.loadingPromises[encoding] = (async () => {
const data: EncodingData =
encoding === 'claude'
? await import('ai-tokenizer/encoding/claude')
: await import('ai-tokenizer/encoding/o200k_base');
this.tokenizersCache[encoding] = new AiTokenizer(data);
})();
return this.loadingPromises[encoding];
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
}
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
getTokenCount(text: string, encoding: EncodingName = 'o200k_base'): number {
const tokenizer = this.tokenizersCache[encoding];
if (!tokenizer) {
this.initEncoding(encoding);
return Math.ceil(text.length / 4);
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
}
try {
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
return tokenizer.count(text);
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
} catch (error) {
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
logger.error('[Tokenizer] Error getting token count:', error);
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
delete this.tokenizersCache[encoding];
delete this.loadingPromises[encoding];
this.initEncoding(encoding);
return Math.ceil(text.length / 4);
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
}
}
}
const TokenizerSingleton = new Tokenizer();
🚧 chore: merge latest dev build to main repo (#3844) * agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2024-08-31 16:33:51 -04:00
⚡ refactor: Optimize & Standardize Tokenizer Usage (#10777) * refactor: Token Limit Processing with Enhanced Efficiency - Added a new test suite for `processTextWithTokenLimit`, ensuring comprehensive coverage of various scenarios including under, at, and exceeding token limits. - Refactored the `processTextWithTokenLimit` function to utilize a ratio-based estimation method, significantly reducing the number of token counting function calls compared to the previous binary search approach. - Improved handling of edge cases and variable token density, ensuring accurate truncation and performance across diverse text inputs. - Included direct comparisons with the old implementation to validate correctness and efficiency improvements. * refactor: Remove Tokenizer Route and Related References - Deleted the tokenizer route from the server and removed its references from the routes index and server files, streamlining the API structure. - This change simplifies the routing configuration by eliminating unused endpoints. * refactor: Migrate countTokens Utility to API Module - Removed the local countTokens utility and integrated it into the @librechat/api module for centralized access. - Updated various files to reference the new countTokens import from the API module, ensuring consistent usage across the application. - Cleaned up unused references and imports related to the previous countTokens implementation. * refactor: Centralize escapeRegExp Utility in API Module - Moved the escapeRegExp function from local utility files to the @librechat/api module for consistent usage across the application. - Updated imports in various files to reference the new centralized escapeRegExp function, ensuring cleaner code and reducing redundancy. - Removed duplicate implementations of escapeRegExp from multiple files, streamlining the codebase. * refactor: Enhance Token Counting Flexibility in Text Processing - Updated the `processTextWithTokenLimit` function to accept both synchronous and asynchronous token counting functions, improving its versatility. - Introduced a new `TokenCountFn` type to define the token counting function signature. - Added comprehensive tests to validate the behavior of `processTextWithTokenLimit` with both sync and async token counting functions, ensuring consistent results. - Implemented a wrapper to track call counts for the `countTokens` function, optimizing performance and reducing unnecessary calls. - Enhanced existing tests to compare the performance of the new implementation against the old one, demonstrating significant improvements in efficiency. * chore: documentation for Truncation Safety Buffer in Token Processing - Added a safety buffer multiplier to the character position estimates during text truncation to prevent overshooting token limits. - Updated the `processTextWithTokenLimit` function to utilize the new `TRUNCATION_SAFETY_BUFFER` constant, enhancing the accuracy of token limit processing. - Improved documentation to clarify the rationale behind the buffer and its impact on performance and efficiency in token counting.
2025-12-02 12:22:04 -05:00
/**
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
* Counts the number of tokens in a given text using ai-tokenizer with o200k_base encoding.
* @param text - The text to count tokens in. Defaults to an empty string.
⚡ refactor: Optimize & Standardize Tokenizer Usage (#10777) * refactor: Token Limit Processing with Enhanced Efficiency - Added a new test suite for `processTextWithTokenLimit`, ensuring comprehensive coverage of various scenarios including under, at, and exceeding token limits. - Refactored the `processTextWithTokenLimit` function to utilize a ratio-based estimation method, significantly reducing the number of token counting function calls compared to the previous binary search approach. - Improved handling of edge cases and variable token density, ensuring accurate truncation and performance across diverse text inputs. - Included direct comparisons with the old implementation to validate correctness and efficiency improvements. * refactor: Remove Tokenizer Route and Related References - Deleted the tokenizer route from the server and removed its references from the routes index and server files, streamlining the API structure. - This change simplifies the routing configuration by eliminating unused endpoints. * refactor: Migrate countTokens Utility to API Module - Removed the local countTokens utility and integrated it into the @librechat/api module for centralized access. - Updated various files to reference the new countTokens import from the API module, ensuring consistent usage across the application. - Cleaned up unused references and imports related to the previous countTokens implementation. * refactor: Centralize escapeRegExp Utility in API Module - Moved the escapeRegExp function from local utility files to the @librechat/api module for consistent usage across the application. - Updated imports in various files to reference the new centralized escapeRegExp function, ensuring cleaner code and reducing redundancy. - Removed duplicate implementations of escapeRegExp from multiple files, streamlining the codebase. * refactor: Enhance Token Counting Flexibility in Text Processing - Updated the `processTextWithTokenLimit` function to accept both synchronous and asynchronous token counting functions, improving its versatility. - Introduced a new `TokenCountFn` type to define the token counting function signature. - Added comprehensive tests to validate the behavior of `processTextWithTokenLimit` with both sync and async token counting functions, ensuring consistent results. - Implemented a wrapper to track call counts for the `countTokens` function, optimizing performance and reducing unnecessary calls. - Enhanced existing tests to compare the performance of the new implementation against the old one, demonstrating significant improvements in efficiency. * chore: documentation for Truncation Safety Buffer in Token Processing - Added a safety buffer multiplier to the character position estimates during text truncation to prevent overshooting token limits. - Updated the `processTextWithTokenLimit` function to utilize the new `TRUNCATION_SAFETY_BUFFER` constant, enhancing the accuracy of token limit processing. - Improved documentation to clarify the rationale behind the buffer and its impact on performance and efficiency in token counting.
2025-12-02 12:22:04 -05:00
* @returns The number of tokens in the provided text.
*/
export async function countTokens(text = ''): Promise<number> {
⚡ refactor: Replace `tiktoken` with `ai-tokenizer` (#12175) * chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability.
2026-03-10 23:14:52 -04:00
await TokenizerSingleton.initEncoding('o200k_base');
return TokenizerSingleton.getTokenCount(text, 'o200k_base');
⚡ refactor: Optimize & Standardize Tokenizer Usage (#10777) * refactor: Token Limit Processing with Enhanced Efficiency - Added a new test suite for `processTextWithTokenLimit`, ensuring comprehensive coverage of various scenarios including under, at, and exceeding token limits. - Refactored the `processTextWithTokenLimit` function to utilize a ratio-based estimation method, significantly reducing the number of token counting function calls compared to the previous binary search approach. - Improved handling of edge cases and variable token density, ensuring accurate truncation and performance across diverse text inputs. - Included direct comparisons with the old implementation to validate correctness and efficiency improvements. * refactor: Remove Tokenizer Route and Related References - Deleted the tokenizer route from the server and removed its references from the routes index and server files, streamlining the API structure. - This change simplifies the routing configuration by eliminating unused endpoints. * refactor: Migrate countTokens Utility to API Module - Removed the local countTokens utility and integrated it into the @librechat/api module for centralized access. - Updated various files to reference the new countTokens import from the API module, ensuring consistent usage across the application. - Cleaned up unused references and imports related to the previous countTokens implementation. * refactor: Centralize escapeRegExp Utility in API Module - Moved the escapeRegExp function from local utility files to the @librechat/api module for consistent usage across the application. - Updated imports in various files to reference the new centralized escapeRegExp function, ensuring cleaner code and reducing redundancy. - Removed duplicate implementations of escapeRegExp from multiple files, streamlining the codebase. * refactor: Enhance Token Counting Flexibility in Text Processing - Updated the `processTextWithTokenLimit` function to accept both synchronous and asynchronous token counting functions, improving its versatility. - Introduced a new `TokenCountFn` type to define the token counting function signature. - Added comprehensive tests to validate the behavior of `processTextWithTokenLimit` with both sync and async token counting functions, ensuring consistent results. - Implemented a wrapper to track call counts for the `countTokens` function, optimizing performance and reducing unnecessary calls. - Enhanced existing tests to compare the performance of the new implementation against the old one, demonstrating significant improvements in efficiency. * chore: documentation for Truncation Safety Buffer in Token Processing - Added a safety buffer multiplier to the character position estimates during text truncation to prevent overshooting token limits. - Updated the `processTextWithTokenLimit` function to utilize the new `TRUNCATION_SAFETY_BUFFER` constant, enhancing the accuracy of token limit processing. - Improved documentation to clarify the rationale behind the buffer and its impact on performance and efficiency in token counting.
2025-12-02 12:22:04 -05:00
}
🧠 feat: User Memories for Conversational Context (#7760) * 🧠 feat: User Memories for Conversational Context chore: mcp typing, use `t` WIP: first pass, Memories UI - Added MemoryViewer component for displaying, editing, and deleting user memories. - Integrated data provider hooks for fetching, updating, and deleting memories. - Implemented pagination and loading states for better user experience. - Created unit tests for MemoryViewer to ensure functionality and interaction with data provider. - Updated translation files to include new UI strings related to memories. chore: move mcp-related files to own directory chore: rename librechat-mcp to librechat-api WIP: first pass, memory processing and data schemas chore: linting in fileSearch.js query description chore: rename librechat-api to @librechat/api across the project WIP: first pass, functional memory agent feat: add MemoryEditDialog and MemoryViewer components for managing user memories - Introduced MemoryEditDialog for editing memory entries with validation and toast notifications. - Updated MemoryViewer to support editing and deleting memories, including pagination and loading states. - Enhanced data provider to handle memory updates with optional original key for better management. - Added new localization strings for memory-related UI elements. feat: add memory permissions management - Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories. - Added new API endpoints for updating memory permissions associated with roles. - Created a new AdminSettings component for managing memory permissions in the frontend. - Integrated memory permissions into the existing roles and permissions schemas. - Updated the interface to include memory settings and permissions. - Enhanced the MemoryViewer component to conditionally render admin settings based on user roles. - Added localization support for memory permissions in the translation files. feat: move AdminSettings component to a new position in MemoryViewer for better visibility refactor: clean up commented code in MemoryViewer component feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration - Added a search input to filter memories in the MemoryViewer component. - Refactored MemoryEditDialog to accept children for better customization. - Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories. - Improved localization support by adding new strings for memory filtering and deletion confirmation. refactor: optimize memory filtering in MemoryViewer using match-sorter - Replaced manual filtering logic with match-sorter for improved search functionality. - Enhanced performance and readability of the filteredMemories computation. feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling feat: implement access control for MemoryEditDialog and MemoryViewer components refactor: remove commented out code and create runMemory method refactor: rename role based files feat: implement access control for memory usage in AgentClient refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code refactor: make `agents` dir in api package refactor: migrate Azure utilities to TypeScript and consolidate imports refactor: move sanitizeFilename function to a new file and update imports, add related tests refactor: update LLM configuration types and consolidate Azure options in the API package chore: linting chore: import order refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports refactor: move createRun function to a new run.ts file and update related imports fix: ensure safeAttachments is correctly typed as an array of TFile chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling fix: update types due to new TEndpointOption typing fix: ensure safe access to group parameters in initializeOpenAIOptions function fix: remove redundant API key validation comment in initializeOpenAIOptions function refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation refactor: decouple req.body fields and tool loading from initializeAgentOptions chore: linting refactor: adjust column widths in MemoryViewer for improved layout refactor: simplify agent initialization by creating loadAgent function and removing unused code feat: add memory configuration loading and validation functions WIP: first pass, memory processing with config feat: implement memory callback and artifact handling feat: implement memory artifacts display and processing updates feat: add memory configuration options and schema validation for validKeys fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling WIP: initial tokenLimit config and move Tokenizer to @librechat/api refactor: update mongoMeili plugin methods to use callback for better error handling feat: enhance memory management with token tracking and usage metrics - Added token counting for memory entries to enforce limits and provide usage statistics. - Updated memory retrieval and update routes to include total token usage and limit. - Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information. - Refactored memory processing functions to handle token limits and provide feedback on memory capacity. feat: implement memory artifact handling in attachment handler - Enhanced useAttachmentHandler to process memory artifacts when receiving updates. - Introduced handleMemoryArtifact utility to manage memory updates and deletions. - Updated query client to reflect changes in memory state based on incoming data. refactor: restructure web search key extraction logic - Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys. - Updated webSearchKeys to utilize the new function for improved clarity and maintainability. - Prevents build time errors feat: add personalization settings and memory preferences management - Introduced a new Personalization tab in settings to manage user memory preferences. - Implemented API endpoints and client-side logic for updating memory preferences. - Enhanced user interface components to reflect personalization options and memory usage. - Updated permissions to allow users to opt out of memory features. - Added localization support for new settings and messages related to personalization. style: personalization switch class feat: add PersonalizationIcon and align Side Panel UI feat: implement memory creation functionality - Added a new API endpoint for creating memory entries, including validation for key and value. - Introduced MemoryCreateDialog component for user interface to facilitate memory creation. - Integrated token limit checks to prevent exceeding user memory capacity. - Updated MemoryViewer to include a button for opening the memory creation dialog. - Enhanced localization support for new messages related to memory creation. feat: enhance message processing with configurable window size - Updated AgentClient to use a configurable message window size for processing messages. - Introduced messageWindowSize option in memory configuration schema with a default value of 5. - Improved logic for selecting messages to process based on the configured window size. chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json chore: remove OpenAPIPlugin and its associated tests chore: remove MIGRATION_README.md as migration tasks are completed ci: fix backend tests chore: remove unused translation keys from localization file chore: remove problematic test file and unused var in AgentClient chore: remove unused import and import directly for JSDoc * feat: add api package build stage in Dockerfile for improved modularity * docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
export default TokenizerSingleton;