185 commits

Author	SHA1	Message	Date
Danny Avila	b5c097e5c7	⚗️ feat: Agent Context Compaction/Summarization (#12287) ... * chore: imports/types Add summarization config and package-level summarize handler contracts Register summarize handlers across server controller paths Port cursor dual-read/dual-write summary support and UI status handling Selectively merge cursor branch files for BaseClient summary content block detection (last-summary-wins), dual-write persistence, summary block unit tests, and on_summarize_status SSE event handling with started/completed/failed branches. Co-authored-by: Cursor <cursoragent@cursor.com> refactor: type safety feat: add localization for summarization status messages refactor: optimize summary block detection in BaseClient Updated the logic for identifying existing summary content blocks to use a reverse loop for improved efficiency. Added a new test case to ensure the last summary content block is updated correctly when multiple summary blocks exist. chore: add runName to chainOptions in AgentClient refactor: streamline summarization configuration and handler integration Removed the deprecated summarizeNotConfigured function and replaced it with a more flexible createSummarizeFn. Updated the summarization handler setup across various controllers to utilize the new function, enhancing error handling and configuration resolution. Improved overall code clarity and maintainability by consolidating summarization logic. feat(summarization): add staged chunk-and-merge fallback feat(usage): track summarization usage separately from messages feat(summarization): resolve prompt from config in runtime fix(endpoints): use @librechat/api provider config loader refactor(agents): import getProviderConfig from @librechat/api chore: code order feat(app-config): auto-enable summarization when configured feat: summarization config refactor(summarization): streamline persist summary handling and enhance configuration validation Removed the deprecated createDeferredPersistSummary function and integrated a new createPersistSummary function for MongoDB persistence. Updated summarization handlers across various controllers to utilize the new persistence method. Enhanced validation for summarization configuration to ensure provider, model, and prompt are properly set, improving error handling and overall robustness. refactor(summarization): update event handling and remove legacy summarize handlers Replaced the deprecated summarization handlers with new event-driven handlers for summarization start and completion across multiple controllers. This change enhances the clarity of the summarization process and improves the integration of summarization events in the application. Additionally, removed unused summarization functions and streamlined the configuration loading process. refactor(summarization): standardize event names in handlers Updated event names in the summarization handlers to use constants from GraphEvents for consistency and clarity. This change improves maintainability and reduces the risk of errors related to string literals in event handling. feat(summarization): enhance usage tracking for summarization events Added logic to track summarization usage in multiple controllers by checking the current node type. If the node indicates a summarization task, the usage type is set accordingly. This change improves the granularity of usage data collected during summarization processes. feat(summarization): integrate SummarizationConfig into AppSummarizationConfig type Enhanced the AppSummarizationConfig type by extending it with the SummarizationConfig type from librechat-data-provider. This change improves type safety and consistency in the summarization configuration structure. test: add end-to-end tests for summarization functionality Introduced a comprehensive suite of end-to-end tests for the summarization feature, covering the full LibreChat pipeline from message creation to summarization. This includes a new setup file for environment configuration and a Jest configuration specifically for E2E tests. The tests utilize real API keys and ensure proper integration with the summarization process, enhancing overall test coverage and reliability. refactor(summarization): include initial summary in formatAgentMessages output Updated the formatAgentMessages function to return an initial summary alongside messages and index token count map. This change is reflected in multiple controllers and the corresponding tests, enhancing the summarization process by providing additional context for each agent's response. refactor: move hydrateMissingIndexTokenCounts to tokenMap utility Extracted the hydrateMissingIndexTokenCounts function from the AgentClient and related tests into a new tokenMap utility file. This change improves code organization and reusability, allowing for better management of token counting logic across the application. refactor(summarization): standardize step event handling and improve summary rendering Refactored the step event handling in the useStepHandler and related components to utilize constants for event names, enhancing consistency and maintainability. Additionally, improved the rendering logic in the Summary component to conditionally display the summary text based on its availability, providing a better user experience during the summarization process. feat(summarization): introduce baseContextTokens and reserveTokensRatio for improved context management Added baseContextTokens to the InitializedAgent type to calculate the context budget based on agentMaxContextNum and maxOutputTokensNum. Implemented reserveTokensRatio in the createRun function to allow configurable context token management. Updated related tests to validate these changes and ensure proper functionality. feat(summarization): add minReserveTokens, context pruning, and overflow recovery configurations Introduced new configuration options for summarization, including minReserveTokens, context pruning settings, and overflow recovery parameters. Updated the createRun function to accommodate these new options and added a comprehensive test suite to validate their functionality and integration within the summarization process. feat(summarization): add updatePrompt and reserveTokensRatio to summarization configuration Introduced an updatePrompt field for updating existing summaries with new messages, enhancing the flexibility of the summarization process. Additionally, added reserveTokensRatio to the configuration schema, allowing for improved management of token allocation during summarization. Updated related tests to validate these new features. feat(logging): add on_agent_log event handler for structured logging Implemented an on_agent_log event handler in both the agents' callbacks and responses to facilitate structured logging of agent activities. This enhancement allows for better tracking and debugging of agent interactions by logging messages with associated metadata. Updated the summarization process to ensure proper handling of log events. fix: remove duplicate IBalanceUpdate interface declaration perf(usage): single-pass partition of collectedUsage Replace two Array.filter() passes with a single for-of loop that partitions message vs. summarization usages in one iteration. fix(BaseClient): shallow-copy message content before mutating and preserve string content Avoid mutating the original message.content array in-place when appending a summary block. Also convert string content to a text content part instead of silently discarding it. fix(ui): fix Part.tsx indentation and useStepHandler summarize-complete handling - Fix SUMMARY else-if branch indentation in Part.tsx to match chain level - Guard ON_SUMMARIZE_COMPLETE with didFinalize flag to avoid unnecessary re-renders when no summarizing parts exist - Protect against undefined completeData.summary instead of unsafe spread fix(agents): use strict enabled check for summarization handlers Change summarizationConfig?.enabled !== false to === true so handlers are not registered when summarizationConfig is undefined. chore: fix initializeClient JSDoc and move DEFAULT_RESERVE_RATIO to module scope refactor(Summary): align collapse/expand behavior with Reasoning component - Single render path instead of separate streaming vs completed branches - Use useMessageContext for isSubmitting/isLatestMessage awareness so the "Summarizing..." label only shows during active streaming - Default to collapsed (matching Reasoning), user toggles to expand - Add proper aria attributes (aria-hidden, role, aria-controls, contentId) - Hide copy button while actively streaming feat(summarization): default to self-summarize using agent's own provider/model When no summarization config is provided (neither in librechat.yaml nor on the agent), automatically enable summarization using the agent's own provider and model. The agents package already provides default prompts, so no prompt configuration is needed. Also removes the dead resolveSummarizationLLMConfig in summarize.ts (and its spec) — run.ts buildAgentContext is the single source of truth for summarization config resolution. Removes the duplicate RuntimeSummarizationConfig local type in favor of the canonical SummarizationConfig from data-provider. chore: schema and type cleanup for summarization - Add trigger field to summarizationAgentOverrideSchema so per-agent trigger overrides in librechat.yaml are not silently stripped by Zod - Remove unused SummarizationStatus type from runs.ts - Make AppSummarizationConfig.enabled non-optional to reflect the invariant that loadSummarizationConfig always sets it refactor(responses): extract duplicated on_agent_log handler refactor(run): use agents package types for summarization config Import SummarizationConfig, ContextPruningConfig, and OverflowRecoveryConfig from @librechat/agents and use them to type-check the translation layer in buildAgentContext. This ensures the config object passed to the agent graph matches what it expects. - Use `satisfies AgentSummarizationConfig` on the config object - Cast contextPruningConfig and overflowRecoveryConfig to agents types - Properly narrow trigger fields from DeepPartial to required shape feat(config): add maxToolResultChars to base endpoint schema Add maxToolResultChars to baseEndpointSchema so it can be configured on any endpoint in librechat.yaml. Resolved during agent initialization using getProviderConfig's endpoint resolution: custom endpoint config takes precedence, then the provider-specific endpoint config, then the shared `all` config. Passed through to the agents package ToolNode, which uses it to cap tool result length before it enters the context window. When not configured, the agents package computes a sensible default from maxContextTokens. fix(summarization): forward agent model_parameters in self-summarize default When no explicit summarization config exists, the self-summarize default now forwards the agent's model_parameters as the summarization parameters. This ensures provider-specific settings (e.g. Bedrock region, credentials, endpoint host) are available when the agents package constructs the summarization LLM. fix(agents): register summarization handlers by default Change the enabled gate from === true to !== false so handlers register when no explicit summarization config exists. This aligns with the self-summarize default where summarization is always on unless explicitly disabled via enabled: false. refactor(summarization): let agents package inherit clientOptions for self-summarize Remove model_parameters forwarding from the self-summarize default. The agents package now reuses the agent's own clientOptions when the summarization provider matches the agent's provider, inheriting all provider-specific settings (region, credentials, proxy, etc.) automatically. refactor(summarization): use MessageContentComplex[] for summary content Unify summary content to always use MessageContentComplex[] arrays, matching the pattern used by on_message_delta. No more string | array unions — content is always an array of typed blocks ({ type: 'text', text: '...' } for text, { type: 'reasoning_content', ... } for reasoning). Agents package: - SummaryContentBlock.content: MessageContentComplex[] (was string) - tokenCount now optional (not sent on deltas) - Removed reasoning field — reasoning is now a content block type - streamAndCollect normalizes all chunks to content block arrays - Delta events pass content blocks directly LibreChat: - SummaryContentPart.content: Agents.MessageContentComplex[] - Updated Part.tsx, Summary.tsx, useStepHandler.ts, BaseClient.js - Summary.tsx derives display text from content blocks via useMemo - Aggregator uses simple array spread refactor(summarization): enhance summary handling and text extraction - Updated BaseClient.js to improve summary text extraction, accommodating both legacy and new content formats. - Modified summarization logic to ensure consistent handling of summary content across different message formats. - Adjusted test cases in summarization.e2e.spec.js to utilize the new summary text extraction method. - Refined SSE useStepHandler to initialize summary content as an array. - Updated configuration schema by removing unused minReserveTokens field. - Cleaned up SummaryContentPart type by removing rangeHash property. These changes streamline the summarization process and ensure compatibility with various content structures. refactor(summarization): streamline usage tracking and logging - Removed direct checks for summarization nodes in ModelEndHandler and replaced them with a dedicated markSummarizationUsage function for better readability and maintainability. - Updated OpenAIChatCompletionController and responses handlers to utilize the new markSummarizationUsage function for setting usage types. - Enhanced logging functionality by ensuring the logger correctly handles different log levels. - Introduced a new useCopyToClipboard hook in the Summary component to encapsulate clipboard copy logic, improving code reusability and clarity. These changes improve the overall structure and efficiency of the summarization handling and logging processes. refactor(summarization): update summary content block documentation - Removed outdated comment regarding the last summary content block in BaseClient.js. - Added a new comment to clarify the purpose of the findSummaryContentBlock method, ensuring consistency in documentation. These changes enhance code clarity and maintainability by providing accurate descriptions of the summarization logic. refactor(summarization): update summary content structure in tests - Modified the summarization content structure in e2e tests to use an array format for text, aligning with recent changes in summary handling. - Updated test descriptions to clarify the behavior of context token calculations, ensuring consistency and clarity in the tests. These changes enhance the accuracy and maintainability of the summarization tests by reflecting the updated content structure. refactor(summarization): remove legacy E2E test setup and configuration - Deleted the e2e-setup.js and jest.e2e.config.js files, which contained legacy configurations for E2E tests using real API keys. - Introduced a new summarization.e2e.ts file that implements comprehensive E2E backend integration tests for the summarization process, utilizing real AI providers and tracking summaries throughout the run. These changes streamline the testing framework by consolidating E2E tests into a single, more robust file while removing outdated configurations. refactor(summarization): enhance E2E tests and error handling - Added a cleanup step to force exit after all tests to manage Redis connections. - Updated the summarization model to 'claude-haiku-4-5-20251001' for consistency across tests. - Improved error handling in the processStream function to capture and return processing errors. - Enhanced logging for cross-run tests and tight context scenarios to provide better insights into test execution. These changes improve the reliability and clarity of the E2E tests for the summarization process. refactor(summarization): enhance test coverage for maxContextTokens behavior - Updated run-summarization.test.ts to include a new test case ensuring that maxContextTokens does not exceed user-defined limits, even when calculated ratios suggest otherwise. - Modified summarization.e2e.ts to replace legacy UsageMetadata type with a more appropriate type for collectedUsage, improving type safety and clarity in the test setup. These changes improve the robustness of the summarization tests by validating context token constraints and refining type definitions. feat(summarization): add comprehensive E2E tests for summarization process - Introduced a new summarization.e2e.test.ts file that implements extensive end-to-end integration tests for the summarization pipeline, covering the full flow from LibreChat to agents. - The tests utilize real AI providers and include functionality to track summaries during and between runs. - Added necessary cleanup steps to manage Redis connections post-tests and ensure proper exit. These changes enhance the testing framework by providing robust coverage for the summarization process, ensuring reliability and performance under real-world conditions. fix(service): import logger from winston configuration - Removed the import statement for logger from '@librechat/data-schemas' and replaced it with an import from '~/config/winston'. - This change ensures that the logger is correctly sourced from the updated configuration, improving consistency in logging practices across the application. refactor(summary): simplify Summary component and enhance token display - Removed the unused `meta` prop from the `SummaryButton` component to streamline its interface. - Updated the token display logic to use a localized string for better internationalization support. - Adjusted the rendering of the `meta` information to improve its visibility within the `Summary` component. These changes enhance the clarity and usability of the Summary component while ensuring better localization practices. feat(summarization): add maxInputTokens configuration for summarization - Introduced a new `maxInputTokens` property in the summarization configuration schema to control the amount of conversation context sent to the summarizer, with a default value of 10000. - Updated the `createRun` function to utilize the new `maxInputTokens` setting, allowing for more flexible summarization based on agent context. These changes enhance the summarization capabilities by providing better control over input token limits, improving the overall summarization process. refactor(summarization): simplify maxInputTokens logic in createRun function - Updated the logic for the `maxInputTokens` property in the `createRun` function to directly use the agent's base context tokens when the resolved summarization configuration does not specify a value. - This change streamlines the configuration process and enhances clarity in how input token limits are determined for summarization. These modifications improve the maintainability of the summarization configuration by reducing complexity in the token calculation logic. feat(summary): enhance Summary component to display meta information - Updated the SummaryContent component to accept an optional `meta` prop, allowing for additional contextual information to be displayed above the main content. - Adjusted the rendering logic in the Summary component to utilize the new `meta` prop, improving the visibility of supplementary details. These changes enhance the user experience by providing more context within the Summary component, making it clearer and more informative. refactor(summarization): standardize reserveRatio configuration in summarization logic - Replaced instances of `reserveTokensRatio` with `reserveRatio` in the `createRun` function and related tests to unify the terminology across the codebase. - Updated the summarization configuration schema to reflect this change, ensuring consistency in how the reserve ratio is defined and utilized. - Removed the per-agent override logic for summarization configuration, simplifying the overall structure and enhancing clarity. These modifications improve the maintainability and readability of the summarization logic by standardizing the configuration parameters. * fix: circular dependency of `~/models` * chore: update logging scope in agent log handlers Changed log scope from `[agentus:${data.scope}]` to `[agents:${data.scope}]` in both the callbacks and responses controllers to ensure consistent logging format across the application. * feat: calibration ratio * refactor(tests): update summarizationConfig tests to reflect changes in enabled property Modified tests to check for the new `summarizationEnabled` property instead of the deprecated `enabled` field in the summarization configuration. This change ensures that the tests accurately validate the current configuration structure and behavior of the agents. * feat(tests): add markSummarizationUsage mock for improved test coverage Introduced a mock for the markSummarizationUsage function in the responses unit tests to enhance the testing of summarization usage tracking. This addition supports better validation of summarization-related functionalities and ensures comprehensive test coverage for the agents' response handling. * refactor(tests): simplify event handler setup in createResponse tests Removed redundant mock implementations for event handlers in the createResponse unit tests, streamlining the setup process. This change enhances test clarity and maintainability while ensuring that the tests continue to validate the correct behavior of usage tracking during on_chat_model_end events. * refactor(agents): move calibration ratio capture to finally block Reorganized the logic for capturing the calibration ratio in the AgentClient class to ensure it is executed in the finally block. This change guarantees that the ratio is captured even if the run is aborted, enhancing the reliability of the response message persistence. Removed redundant code and improved clarity in the handling of context metadata. * refactor(agents): streamline bulk write logic in recordCollectedUsage function Removed redundant bulk write operations and consolidated document handling in the recordCollectedUsage function. The logic now combines all documents into a single bulk write operation, improving efficiency and reducing error handling complexity. Updated logging to provide consistent error messages for bulk write failures. * refactor(agents): enhance summarization configuration resolution in createRun function Streamlined the summarization configuration logic by introducing a base configuration and allowing for overrides from agent-specific settings. This change improves clarity and maintainability, ensuring that the summarization configuration is consistently applied while retaining flexibility for customization. Updated the handling of summarization parameters to ensure proper integration with the agent's model and provider settings. * refactor(agents): remove unused tokenCountMap and streamline calibration ratio handling Eliminated the unused tokenCountMap variable from the AgentClient class to enhance code clarity. Additionally, streamlined the logic for capturing the calibration ratio by using optional chaining and a fallback value, ensuring that context metadata is consistently defined. This change improves maintainability and reduces potential confusion in the codebase. * refactor(agents): extract agent log handler for improved clarity and reusability Refactored the agent log handling logic by extracting it into a dedicated function, `agentLogHandler`, enhancing code clarity and reusability across different modules. Updated the event handlers in both the OpenAI and responses controllers to utilize the new handler, ensuring consistent logging behavior throughout the application. * test: add summarization event tests for useStepHandler Implemented a series of tests for the summarization events in the useStepHandler hook. The tests cover scenarios for ON_SUMMARIZE_START, ON_SUMMARIZE_DELTA, and ON_SUMMARIZE_COMPLETE events, ensuring proper handling of summarization logic, including message accumulation and finalization. This addition enhances test coverage and validates the correct behavior of the summarization process within the application. * refactor(config): update summarizationTriggerSchema to use enum for type validation Changed the type of the `type` field in the summarizationTriggerSchema from a string to an enum with a single value 'token_count'. This modification enhances type safety and ensures that only valid types are accepted in the configuration, improving overall clarity and maintainability of the schema. * test(usage): add bulk write tests for message and summarization usage Implemented tests for the bulk write functionality in the recordCollectedUsage function, covering scenarios for combined message and summarization usage, summarization-only usage, and message-only usage. These tests ensure correct document handling and token rollup calculations, enhancing test coverage and validating the behavior of the usage tracking logic. * refactor(Chat): enhance clipboard copy functionality and type definitions in Summary component Updated the Summary component to improve the clipboard copy functionality by handling clipboard permission errors. Refactored type definitions for SummaryProps to use a more specific type, enhancing type safety. Adjusted the SummaryButton and FloatingSummaryBar components to accept isCopied and onCopy props, promoting better separation of concerns and reusability. * chore(translations): remove unused "Expand Summary" key from English translations Deleted the "Expand Summary" key from the English translation file to streamline the localization resources and improve clarity in the user interface. This change helps maintain an organized and efficient translation structure. * refactor: adjust token counting for Claude model to account for API discrepancies Implemented a correction factor for token counting when using the Claude model, addressing discrepancies between Anthropic's API and local tokenizer results. This change ensures accurate token counts by applying a scaling factor, improving the reliability of token-related functionalities. * refactor(agents): implement token count adjustment for Claude model messages Added a method to adjust token counts for messages processed by the Claude model, applying a correction factor to align with API expectations. This enhancement improves the accuracy of token counting, ensuring reliable functionality when interacting with the Claude model. * refactor(agents): token counting for media content in messages Introduced a new method to estimate token costs for image and document blocks in messages, improving the accuracy of token counting. This enhancement ensures that media content is properly accounted for, particularly for the Claude model, by integrating additional token estimation logic for various content types. Updated the token counting function to utilize this new method, enhancing overall reliability and functionality. * chore: fix missing import * fix(agents): clamp baseContextTokens and document reserve ratio change Prevent negative baseContextTokens when maxOutputTokens exceeds the context window (misconfigured models). Document the 10%→5% default reserve ratio reduction introduced alongside summarization. * fix(agents): include media tokens in hydrated token counts Add estimateMediaTokensForMessage to createTokenCounter so the hydration path (used by hydrateMissingIndexTokenCounts) matches the precomputed path in AgentClient.getTokenCountForMessage. Without this, messages containing images or documents were systematically undercounted during hydration, risking context window overflow. Add 34 unit tests covering all block-type branches of estimateMediaTokensForMessage. * fix(agents): include summarization output tokens in usage return value The returned output_tokens from recordCollectedUsage now reflects all billed LLM calls (message + summarization). Previously, summarization completions were billed but excluded from the returned metadata, causing a discrepancy between what users were charged and what the response message reported. * fix(tests): replace process.exit with proper Redis cleanup in e2e test The summarization E2E test used process.exit(0) to work around a Redis connection opened at import time, which killed the Jest runner and bypassed teardown. Use ioredisClient.quit() and keyvRedisClient.disconnect() for graceful cleanup instead. * fix(tests): update getConvo imports in OpenAI and response tests Refactor test files to import getConvo from the main models module instead of the Conversation submodule. This change ensures consistency across tests and simplifies the import structure, enhancing maintainability. * fix(clients): improve summary text validation in BaseClient Refactor the summary extraction logic to ensure that only non-empty summary texts are considered valid. This change enhances the robustness of the message processing by utilizing a dedicated method for summary text retrieval, improving overall reliability. * fix(config): replace z.any() with explicit union in summarization schema Model parameters (temperature, top_p, etc.) are constrained to primitive types rather than the policy-violating z.any(). * refactor(agents): deduplicate CLAUDE_TOKEN_CORRECTION constant Export from the TS source in packages/api and import in the JS client, eliminating the static class property that could drift out of sync. * refactor(agents): eliminate duplicate selfProvider in buildAgentContext selfProvider and provider were derived from the same expression with different type casts. Consolidated to a single provider variable. * refactor(agents): extract shared SSE handlers and restrict log levels - buildSummarizationHandlers() factory replaces triplicated handler blocks across responses.js and openai.js - agentLogHandlerObj exported from callbacks.js for consistent reuse - agentLogHandler restricted to an allowlist of safe log levels (debug, info, warn, error) instead of accepting arbitrary strings * fix(SSE): batch summarize deltas, add exhaustiveness check, conditional error announcement - ON_SUMMARIZE_DELTA coalesces rapid-fire renders via requestAnimationFrame instead of calling setMessages per chunk - Exhaustive never-check on TStepEvent catches unhandled variants at compile time when new StepEvents are added - ON_SUMMARIZE_COMPLETE error announcement only fires when a summary part was actually present and removed * feat(agents): persist instruction overhead in contextMeta and seed across runs Extend contextMeta with instructionOverhead and toolCount so the provider-observed instruction overhead is persisted on the response message and seeded into the pruner on subsequent runs. This enables the pruner to use a calibrated budget from the first call instead of waiting for a provider observation, preventing the ratio collapse caused by local tokenizer overestimating tool schema tokens. The seeded overhead is only used when encoding and tool count match between runs, ensuring stale values from different configurations are discarded. * test(agents): enhance OpenAI test mocks for summarization handlers Updated the OpenAI test suite to include additional mock implementations for summarization handlers, including buildSummarizationHandlers, markSummarizationUsage, and agentLogHandlerObj. This improves test coverage and ensures consistent behavior during testing. * fix(agents): address review findings for summarization v2 Cancel rAF on unmount to prevent stale Recoil writes from dead component context. Clear orphaned summarizing:true parts when ON_SUMMARIZE_COMPLETE arrives without a summary payload. Add null guard and safe spread to agentLogHandler. Handle Anthropic-format base64 image/* documents in estimateMediaTokensForMessage. Use role="region" for expandable summary content. Add .describe() to contextMeta Zod fields. Extract duplicate usage loop into helper. * refactor: simplify contextMeta to calibrationRatio + encoding only Remove instructionOverhead and toolCount from cross-run persistence — instruction tokens change too frequently between runs (prompt edits, tool changes) for a persisted seed to be reliable. The intra-run calibration in the pruner still self-corrects via provider observations. contextMeta now stores only the tokenizer-bias ratio and encoding, which are stable across instruction changes. * test(SSE): enhance useStepHandler tests for ON_SUMMARIZE_COMPLETE behavior Updated the test for ON_SUMMARIZE_COMPLETE to clarify that it finalizes the existing part with summarizing set to false when the summary is undefined. Added assertions to verify the correct behavior of message updates and the state of summary parts. * refactor(BaseClient): remove handleContextStrategy and truncateToolCallOutputs functions Eliminated the handleContextStrategy method from BaseClient to streamline message handling. Also removed the truncateToolCallOutputs function from the prompts module, simplifying the codebase and improving maintainability. * refactor: add AGENT_DEBUG_LOGGING option and refactor token count handling in BaseClient Introduced AGENT_DEBUG_LOGGING to .env.example for enhanced debugging capabilities. Refactored token count handling in BaseClient by removing the handleTokenCountMap method and simplifying token count updates. Updated AgentClient to log detailed token count recalculations and adjustments, improving traceability during message processing. * chore: update dependencies in package-lock.json and package.json files Bumped versions of several dependencies, including @librechat/agents to ^3.1.62 and various AWS SDK packages to their latest versions. This ensures compatibility and incorporates the latest features and fixes. * chore: imports order * refactor: extract summarization config resolution from buildAgentContext * refactor: rename and simplify summarization configuration shaping function * refactor: replace AgentClient token counting methods with single-pass pure utility Extract getTokenCount() and getTokenCountForMessage() from AgentClient into countFormattedMessageTokens(), a pure function in packages/api that handles text, tool_call, image, and document content types in one loop. - Decompose estimateMediaTokensForMessage into block-level helpers (estimateImageDataTokens, estimateImageBlockTokens, estimateDocumentBlockTokens) shared by both estimateMediaTokensForMessage and the new single-pass function - Remove redundant per-call getEncoding() resolution (closure captures once) - Remove deprecated gpt-3.5-turbo-0301 model branching - Drop this.getTokenCount guard from BaseClient.sendMessage * refactor: streamline token counting in createTokenCounter function Simplified the createTokenCounter function by removing the media token estimation and directly calculating the token count. This change enhances clarity and performance by consolidating the token counting logic into a single pass, while maintaining compatibility with Claude's token correction. * refactor: simplify summarization configuration types Removed the AppSummarizationConfig type and directly used SummarizationConfig in the AppConfig interface. This change streamlines the type definitions and enhances consistency across the codebase. * chore: import order * fix: summarization event handling in useStepHandler - Cancel pending summarizeDeltaRaf in clearStepMaps to prevent stale frames firing after map reset or component unmount - Move announcePolite('summarize_completed') inside the didFinalize guard so screen readers only announce when finalization actually occurs - Remove dead cleanup closure returned from stepHandler useCallback body that was never invoked by any caller * fix: estimate tokens for non-PDF/non-image base64 document blocks Previously estimateDocumentBlockTokens returned 0 for unrecognized MIME types (e.g. text/plain, application/json), silently underestimating context budget. Fall back to character-based heuristic or countTokens. * refactor: return cloned usage from markSummarizationUsage Avoid mutating LangChain's internal usage_metadata object by returning a shallow clone with the usage_type tag. Update all call sites in callbacks, openai, and responses controllers to use the returned value. * refactor: consolidate debug logging loops in buildMessages Merge the two sequential O(n) debug-logging passes over orderedMessages into a single pass inside the map callback where all data is available. * refactor: narrow SummaryContentPart.content type Replace broad Agents.MessageContentComplex[] with the specific Array<{ type: ContentTypes.TEXT; text: string }> that all producers and consumers already use, improving compile-time safety. * refactor: use single output array in recordCollectedUsage Have processUsageGroup append to a shared array instead of returning separate arrays that are spread into a third, reducing allocations. * refactor: use for...in in hydrateMissingIndexTokenCounts Replace Object.entries with for...in to avoid allocating an intermediate tuple array during token map hydration.	2026-03-21 14:28:56 -04:00
Danny Avila	67db0c1cb3	🗑️ chore: Remove Action Test Suite and Update Mock Implementations (#12268) ... - Deleted the Action test suite located in `api/models/Action.spec.js` to streamline the codebase. - Updated various test files to reflect changes in model mocks, consolidating mock implementations for user-related actions and enhancing clarity. - Improved consistency in test setups by aligning with the latest model updates and removing redundant mock definitions.	2026-03-21 14:28:55 -04:00
Atef Bellaaj	a0fed6173c	🗂️ refactor: Migrate S3 Storage to TypeScript in packages/api (#11947) ... * Migrate S3 storage module with unit and integration tests - Migrate S3 CRUD and image operations to packages/api/src/storage/s3/ - Add S3ImageService class with dependency injection - Add unit tests using aws-sdk-client-mock - Add integration tests with real s3 bucket (condition presence of AWS_TEST_BUCKET_NAME) * AI Review Findings Fixes * chore: tests and refactor S3 storage types - Added mock implementations for the 'sharp' library in various test files to improve image processing testing. - Updated type references in S3 storage files from MongoFile to TFile for consistency and type safety. - Refactored S3 CRUD operations to ensure proper handling of file types and improve code clarity. - Enhanced integration tests to validate S3 file operations and error handling more effectively. * chore: rename test file * Remove duplicate import of refreshS3Url * chore: imports order * fix: remove duplicate imports for S3 URL handling in UserController * fix: remove duplicate import of refreshS3FileUrls in files.js * test: Add mock implementations for 'sharp' and '@librechat/api' in UserController tests - Introduced mock functions for the 'sharp' library to facilitate image processing tests, including metadata retrieval and buffer conversion. - Enhanced mocking for '@librechat/api' to ensure consistent behavior in tests, particularly for the needsRefresh and getNewS3URL functions. --------- Co-authored-by: Danny Avila <danny@librechat.ai>	2026-03-21 14:28:55 -04:00
Danny Avila	0412f05daf	🪢 chore: Consolidate Pricing and Tx Imports After tx.js Module Removal (#12086) ... * 🧹 chore: resolve imports due to rebase * chore: Update model mocks in unit tests for consistency - Consolidated model mock implementations across various test files to streamline setup and reduce redundancy. - Removed duplicate mock definitions for `getMultiplier` and `getCacheMultiplier`, ensuring a unified approach in `recordCollectedUsage.spec.js`, `openai.spec.js`, `responses.unit.spec.js`, and `abortMiddleware.spec.js`. - Enhanced clarity and maintainability of test files by aligning mock structures with the latest model updates. * fix: Safeguard token credit checks in transaction tests - Updated assertions in `transaction.spec.ts` to handle potential null values for `updatedBalance` by using optional chaining. - Enhanced robustness of tests related to token credit calculations, ensuring they correctly account for scenarios where the balance may not be found. * chore: transaction methods with bulk insert functionality - Introduced `bulkInsertTransactions` method in `transaction.ts` to facilitate batch insertion of transaction documents. - Updated test file `transactions.bulk-parity.spec.ts` to utilize new pricing function assignments and handle potential null values in calculations, improving test robustness. - Refactored pricing function initialization for clarity and consistency. * refactor: Enhance type definitions and introduce new utility functions for model matching - Added `findMatchingPattern` and `matchModelName` utility functions to improve model name matching logic in transaction methods. - Updated type definitions for `findMatchingPattern` to accept a more specific tokensMap structure, enhancing type safety. - Refactored `dbMethods` initialization in `transactions.bulk-parity.spec.ts` to include the new utility functions, improving test clarity and functionality. * refactor: Update database method imports and enhance transaction handling - Refactored `abortMiddleware.js` to utilize centralized database methods for message handling and conversation retrieval, improving code consistency. - Enhanced `bulkInsertTransactions` in `transaction.ts` to handle empty document arrays gracefully and added error logging for better debugging. - Updated type definitions in `transactions.ts` to enforce stricter typing for token types, enhancing type safety across transaction methods. - Improved test setup in `transactions.bulk-parity.spec.ts` by refining pricing function assignments and ensuring robust handling of potential null values. * refactor: Update database method references and improve transaction multiplier handling - Refactored `client.js` to update database method references for `bulkInsertTransactions` and `updateBalance`, ensuring consistency in method usage. - Enhanced transaction multiplier calculations in `transaction.spec.ts` to provide fallback values for write and read multipliers, improving robustness in cost calculations across structured token spending tests.	2026-03-21 14:28:53 -04:00
Danny Avila	8ba2bde5c1	📦 refactor: Consolidate DB models, encapsulating Mongoose usage in data-schemas (#11830) ... * chore: move database model methods to /packages/data-schemas * chore: add TypeScript ESLint rule to warn on unused variables * refactor: model imports to streamline access - Consolidated model imports across various files to improve code organization and reduce redundancy. - Updated imports for models such as Assistant, Message, Conversation, and others to a unified import path. - Adjusted middleware and service files to reflect the new import structure, ensuring functionality remains intact. - Enhanced test files to align with the new import paths, maintaining test coverage and integrity. * chore: migrate database models to packages/data-schemas and refactor all direct Mongoose Model usage outside of data-schemas * test: update agent model mocks in unit tests - Added `getAgent` mock to `client.test.js` to enhance test coverage for agent-related functionality. - Removed redundant `getAgent` and `getAgents` mocks from `openai.spec.js` and `responses.unit.spec.js` to streamline test setup and reduce duplication. - Ensured consistency in agent mock implementations across test files. * fix: update types in data-schemas * refactor: enhance type definitions in transaction and spending methods - Updated type definitions in `checkBalance.ts` to use specific request and response types. - Refined `spendTokens.ts` to utilize a new `SpendTxData` interface for better clarity and type safety. - Improved transaction handling in `transaction.ts` by introducing `TransactionResult` and `TxData` interfaces, ensuring consistent data structures across methods. - Adjusted unit tests in `transaction.spec.ts` to accommodate new type definitions and enhance robustness. * refactor: streamline model imports and enhance code organization - Consolidated model imports across various controllers and services to a unified import path, improving code clarity and reducing redundancy. - Updated multiple files to reflect the new import structure, ensuring all functionalities remain intact. - Enhanced overall code organization by removing duplicate import statements and optimizing the usage of model methods. * feat: implement loadAddedAgent and refactor agent loading logic - Introduced `loadAddedAgent` function to handle loading agents from added conversations, supporting multi-convo parallel execution. - Created a new `load.ts` file to encapsulate agent loading functionalities, including `loadEphemeralAgent` and `loadAgent`. - Updated the `index.ts` file to export the new `load` module instead of the deprecated `loadAgent`. - Enhanced type definitions and improved error handling in the agent loading process. - Adjusted unit tests to reflect changes in the agent loading structure and ensure comprehensive coverage. * refactor: enhance balance handling with new update interface - Introduced `IBalanceUpdate` interface to streamline balance update operations across the codebase. - Updated `upsertBalanceFields` method signatures in `balance.ts`, `transaction.ts`, and related tests to utilize the new interface for improved type safety. - Adjusted type imports in `balance.spec.ts` to include `IBalanceUpdate`, ensuring consistency in balance management functionalities. - Enhanced overall code clarity and maintainability by refining type definitions related to balance operations. * feat: add unit tests for loadAgent functionality and enhance agent loading logic - Introduced comprehensive unit tests for the `loadAgent` function, covering various scenarios including null and empty agent IDs, loading of ephemeral agents, and permission checks. - Enhanced the `initializeClient` function by moving `getConvoFiles` to the correct position in the database method exports, ensuring proper functionality. - Improved test coverage for agent loading, including handling of non-existent agents and user permissions. * chore: reorder memory method exports for consistency - Moved `deleteAllUserMemories` to the correct position in the exported memory methods, ensuring a consistent and logical order of method exports in `memory.ts`.	2026-03-21 14:28:53 -04:00
Danny Avila	58f128bee7	🗑️ chore: Remove Deprecated Project Model and Associated Fields (#11773) ... * chore: remove projects and projectIds usage * chore: empty line linting * chore: remove isCollaborative property across agent models and related tests - Removed the isCollaborative property from agent models, controllers, and tests, as it is deprecated in favor of ACL permissions. - Updated related validation schemas and data provider types to reflect this change. - Ensured all references to isCollaborative were stripped from the codebase to maintain consistency and clarity.	2026-03-21 14:28:53 -04:00
Danny Avila	38521381f4	🐘 feat: FerretDB Compatibility (#11769) ... * feat: replace unsupported MongoDB aggregation operators for FerretDB compatibility Replace $lookup, $unwind, $sample, $replaceRoot, and $addFields aggregation stages which are unsupported on FerretDB v2.x (postgres-documentdb backend). - Prompt.js: Replace $lookup/$unwind/$project pipelines with find().select().lean() + attachProductionPrompts() batch helper. Replace $group/$replaceRoot/$sample in getRandomPromptGroups with distinct() + Fisher-Yates shuffle. - Agent/Prompt migration scripts: Replace $lookup anti-join pattern with distinct() + $nin two-step queries for finding un-migrated resources. All replacement patterns verified against FerretDB v2.7.0. * fix: use $pullAll for simple array removals, fix memberIds type mismatches Replace $pull with $pullAll for exact-value scalar array removals. Both operators work on MongoDB and FerretDB, but $pullAll is more explicit for exact matching (no condition expressions). Fix critical type mismatch bugs where ObjectId values were used against String[] memberIds arrays in Group queries: - config/delete-user.js: use string uid instead of ObjectId user._id - e2e/setup/cleanupUser.ts: convert userId.toString() before query Harden PermissionService.bulkUpdateResourcePermissions abort handling to prevent crash when abortTransaction is called after commitTransaction. All changes verified against FerretDB v2.7.0 and MongoDB Memory Server. * fix: harden transaction support probe for FerretDB compatibility Commit the transaction before aborting in supportsTransactions probe, and wrap abortTransaction in try-catch to prevent crashes when abort is called after a successful commit (observed behavior on FerretDB). * feat: add FerretDB compatibility test suite, retry utilities, and CI config Add comprehensive FerretDB integration test suite covering: - $pullAll scalar array operations - $pull with subdocument conditions - $lookup replacement (find + manual join) - $sample replacement (distinct + Fisher-Yates) - $bit and $bitsAllSet operations - Migration anti-join pattern - Multi-tenancy (useDb, scaling, write amplification) - Sharding proof-of-concept - Production operations (backup/restore, schema migration, deadlock retry) Add production retryWithBackoff utility for deadlock recovery during concurrent index creation on FerretDB/DocumentDB backends. Add UserController.spec.js tests for deleteUserController (runs in CI). Configure jest and eslint to isolate FerretDB tests from CI pipelines: - packages/data-schemas/jest.config.mjs: ignore misc/ directory - eslint.config.mjs: ignore packages/data-schemas/misc/ Include Docker Compose config for local FerretDB v2.7 + postgres-documentdb, dedicated jest/tsconfig for the test files, and multi-tenancy findings doc. * style: brace formatting in aclEntry.ts modifyPermissionBits * refactor: reorganize retry utilities and update imports - Moved retryWithBackoff utility to a new file `retry.ts` for better structure. - Updated imports in `orgOperations.ferretdb.spec.ts` to reflect the new location of retry utilities. - Removed old import statement for retryWithBackoff from index.ts to streamline exports. * test: add $pullAll coverage for ConversationTag and PermissionService Add integration tests for deleteConversationTag verifying $pullAll removes tags from conversations correctly, and for syncUserEntraGroupMemberships verifying $pullAll removes user from non-matching Entra groups while preserving local group membership. ---------	2026-03-21 14:28:49 -04:00
Danny Avila	381ed8539b	🪪 fix: Enforce Conversation Ownership Checks in Remote Agent Controllers (#12263) ... * 🔒 fix: Validate conversation ownership in remote agent API endpoints Add user-scoped ownership checks for client-supplied conversation IDs in OpenAI-compatible and Open Responses controllers to prevent cross-tenant file/message loading via IDOR. * 🔒 fix: Harden ownership checks against type confusion and unhandled errors - Add typeof string validation before getConvo to block NoSQL operator injection (e.g. { "$gt": "" }) bypassing the ownership check - Move ownership checks inside try/catch so DB errors produce structured JSON error responses instead of unhandled promise rejections - Add string type validation for conversation_id and previous_response_id in the upstream TS request validators (defense-in-depth) * 🧪 test: Add coverage for conversation ownership validation in remote agent APIs - Fix broken getConvo mock in openai.spec.js (was missing entirely) - Add tests for: owned conversation, unowned (404), non-string type (400), absent conversation_id (skipped), and DB error (500) — both controllers	2026-03-16 09:19:48 -04:00
Danny Avila	8e8fb01d18	🧱 fix: Enforce Agent Access Control on Context and OCR File Loading (#12253) ... * 🔏 fix: Apply agent access control filtering to context/OCR resource loading The context/OCR file path in primeResources fetched files by file_id without applying filterFilesByAgentAccess, unlike the file_search and execute_code paths. Add filterFiles dependency injection to primeResources and invoke it after getFiles to enforce consistent access control. * fix: Wire filterFilesByAgentAccess into all agent initialization callers Pass the filterFilesByAgentAccess function from the JS layer into the TS initializeAgent → primeResources chain via dependency injection, covering primary, handoff, added-convo, and memory agent init paths. * test: Add access control filtering tests for primeResources Cover filterFiles invocation with context/OCR files, verify filtering rejects inaccessible files, and confirm graceful fallback when filterFiles, userId, or agentId are absent. * fix: Guard filterFilesByAgentAccess against ephemeral agent IDs Ephemeral agents have no DB document, so getAgent returns null and the access map defaults to all-false, silently blocking all non-owned files. Short-circuit with isEphemeralAgentId to preserve the pass-through behavior for inline-built agents (memory, tool agents). * fix: Clean up resources.ts and JS caller import order Remove redundant optional chain on req.user.role inside user-guarded block, update primeResources JSDoc with filterFiles and agentId params, and reorder JS imports to longest-to-shortest per project conventions. * test: Strengthen OCR assertion and add filterFiles error-path test Use toHaveBeenCalledWith for the OCR filtering test to verify exact arguments after the OCR→context merge step. Add test for filterFiles rejection to verify graceful degradation (logs error, returns original tool_resources). * fix: Correct import order in addedConvo.js and initialize.js Sort by total line length descending: loadAddedAgent (91) before filterFilesByAgentAccess (84), loadAgentTools (91) before filterFilesByAgentAccess (84). * test: Add unit tests for filterFilesByAgentAccess and hasAccessToFilesViaAgent Cover every branch in permissions.js: ephemeral agent guard, missing userId/agentId/files early returns, all-owned short-circuit, mixed owned + non-owned with VIEW/no-VIEW, agent-not-found fail-closed, author path scoped to attached files, EDIT gate on delete, DB error fail-closed, and agent with no tool_resources. * test: Cover file.user undefined/null in permissions spec Files with no user field fall into the non-owned path and get run through hasAccessToFilesViaAgent. Add two cases: attached file with no user field is returned, unattached file with no user field is excluded.	2026-03-15 23:02:36 -04:00
Danny Avila	6f87b49df8	🛂 fix: Enforce Actions Capability Gate Across All Event-Driven Tool Loading Paths (#12252) ... * fix: gate action tools by actions capability in all code paths Extract resolveAgentCapabilities helper to eliminate 3x-duplicated capability resolution. Apply early action-tool filtering in both loadToolDefinitionsWrapper and loadAgentTools non-definitions path. Gate loadActionToolsForExecution in loadToolsForExecution behind an actionsEnabled parameter with a cache-based fallback. Replace the late capability guard in loadAgentTools with a hasActionTools check to avoid unnecessary loadActionSets DB calls and duplicate warnings. * fix: thread actionsEnabled through InitializedAgent type Add actionsEnabled to the loadTools callback return type, InitializedAgent, and the initializeAgent destructuring/return so callers can forward the resolved value to loadToolsForExecution without redundant getEndpointsConfig cache lookups. * fix: pass actionsEnabled from callers to loadToolsForExecution Thread actionsEnabled through the agentToolContexts map in initialize.js (primary and handoff agents) and through primaryConfig in the openai.js and responses.js controllers, avoiding per-tool-call capability re-resolution on the hot path. * test: add regression tests for action capability gating Test the real exported functions (resolveAgentCapabilities, loadAgentTools, loadToolsForExecution) with mocked dependencies instead of shadow re-implementations. Covers definition filtering, execution gating, actionsEnabled param forwarding, and fallback capability resolution. * test: use Constants.EPHEMERAL_AGENT_ID in ephemeral fallback test Replaces a string guess with the canonical constant to avoid fragility if the ephemeral detection heuristic changes. * fix: populate agentToolContexts for addedConvo parallel agents After processAddedConvo returns, backfill agentToolContexts for any agents in agentConfigs not already present, so ON_TOOL_EXECUTE for added-convo agents receives actionsEnabled instead of falling back to a per-call cache lookup.	2026-03-15 23:01:36 -04:00
Danny Avila	a26eeea592	🔏 fix: Enforce MCP Server Authorization on Agent Tool Persistence (#12250) ... * 🛡️ fix: Validate MCP tool authorization on agent create/update Agent creation and update accepted arbitrary MCP tool strings without verifying the user has access to the referenced MCP servers. This allowed a user to embed unauthorized server names in tool identifiers (e.g. "anything_mcp_<victimServer>"), causing mcpServerNames to be stored on the agent and granting consumeOnly access via hasAccessViaAgent(). Adds filterAuthorizedTools() that checks MCP tool strings against the user's accessible server configs (via getAllServerConfigs) before persisting. Applied to create, update, and duplicate agent paths. * 🛡️ fix: Harden MCP tool authorization and add test coverage Addresses review findings on the MCP agent tool authorization fix: - Wrap getMCPServersRegistry() in try/catch so uninitialized registry gracefully filters all MCP tools instead of causing a 500 (DoS risk) - Guard revertAgentVersionHandler: filter unauthorized MCP tools after reverting to a previous version snapshot - Preserve existing MCP tools on collaborative updates: only validate newly added tools, preventing silent stripping of tools the editing user lacks direct access to - Add audit logging (logger.warn) when MCP tools are rejected - Refactor to single-pass lazy-fetch (registry queried only on first MCP tool encountered) - Export filterAuthorizedTools for direct unit testing - Add 18 tests covering: authorized/unauthorized/mixed tools, registry unavailable fallback, create/update/duplicate/revert handler paths, collaborative update preservation, and mcpServerNames persistence * test: Add duplicate handler test, use Constants.mcp_delimiter, DB assertions - N1: Add duplicateAgentHandler integration test verifying unauthorized MCP tools are stripped from the cloned agent and mcpServerNames are correctly persisted in the database - N2: Replace all hardcoded '_mcp_' delimiter literals with Constants.mcp_delimiter to prevent silent false-positive tests if the delimiter value ever changes - N3: Add DB state assertion to the revert-with-strip test confirming persisted tools match the response after unauthorized tools are removed * fix: Enforce exact 2-segment format for MCP tool keys Reject MCP tool keys with multiple delimiters to prevent authorization/execution mismatch when `.pop()` vs `split[1]` extract different server names from the same key. * fix: Preserve existing MCP tools when registry is unavailable When the MCP registry is uninitialized (e.g. server restart), existing tools already persisted on the agent are preserved instead of silently stripped. New MCP tools are still rejected when the registry cannot verify them. Applies to duplicate and revert handlers via existingTools param; update handler already preserves existing tools via its diff logic.	2026-03-15 20:08:34 -04:00
Danny Avila	bcf45519bd	🪪 fix: Enforce VIEW ACL on Agent Edge References at Write and Runtime (#12246) ... * 🛡️ fix: Enforce ACL checks on handoff edge and added-convo agent loading Edge-linked agents and added-convo agents were fetched by ID via getAgent without verifying the requesting user's access permissions. This allowed an authenticated user to reference another user's private agent in edges or addedConvo and have it initialized at runtime. Add checkPermission(VIEW) gate in processAgent before initializing any handoff agent, and in processAddedConvo for non-ephemeral added agents. Unauthorized agents are logged and added to skippedAgentIds so orphaned-edge filtering removes them cleanly. * 🛡️ fix: Validate edge agent access at agent create/update time Reject agent create/update requests that reference agents in edges the requesting user cannot VIEW. This provides early feedback and prevents storing unauthorized agent references as defense-in-depth alongside the runtime ACL gate in processAgent. Add collectEdgeAgentIds utility to extract all unique agent IDs from an edge array, and validateEdgeAgentAccess helper in the v1 handler. * 🧪 test: Improve ACL gate test coverage and correctness - Add processAgent ACL gate tests for initializeClient (skip/allow handoff agents) - Fix addedConvo.spec.js to mock loadAddedAgent directly instead of getAgent - Seed permMap with ownedAgent VIEW bits in v1.spec.js update-403 test * 🧹 chore: Remove redundant addedConvo ACL gate (now in middleware) PR #12243 moved the addedConvo agent ACL check upstream into canAccessAgentFromBody middleware, making the runtime check in processAddedConvo and its spec redundant. * 🧪 test: Rewrite processAgent ACL test with real DB and minimal mocking Replace heavy mock-based test (12 mocks, Providers.XAI crash) with MongoMemoryServer-backed integration test that exercises real getAgent, checkPermission, and AclEntry — only external I/O (initializeAgent, ToolService, AgentClient) remains mocked. Load edge utilities directly from packages/api/src/agents/edges to sidestep the config.ts barrel. * 🧪 fix: Use requireActual spread for @librechat/agents and @librechat/api mocks The Providers.XAI crash was caused by mocking @librechat/agents with a minimal replacement object, breaking the @librechat/api initialization chain. Match the established pattern from client.test.js and recordCollectedUsage.spec.js: spread jest.requireActual for both packages, overriding only the functions under test.	2026-03-15 18:08:57 -04:00
Danny Avila	0c27ad2d55	🛡️ refactor: Scope Action Mutations by Parent Resource Ownership (#12237) ... * 🛡️ fix: Scope action mutations by parent resource ownership Prevent cross-tenant action overwrites by validating that an existing action's agent_id/assistant_id matches the URL parameter before allowing updates or deletes. Without this, a user with EDIT access on their own agent could reference a foreign action_id to hijack another agent's action record. * 🛡️ fix: Harden action ownership checks and scope write filters - Remove && short-circuit that bypassed the guard when agent_id or assistant_id was falsy (e.g. assistant-owned actions have no agent_id, so the check was skipped entirely on the agents route). - Include agent_id / assistant_id in the updateAction and deleteAction query filters so the DB write itself enforces ownership atomically. - Log a warning when deleteAction returns null (silent no-op from data-integrity mismatch). * 📝 docs: Update Action model JSDoc to reflect scoped query params * ✅ test: Add Action ownership scoping tests Cover update, delete, and cross-type protection scenarios using MongoMemoryServer to verify that scoped query filters (agent_id, assistant_id) prevent cross-tenant overwrites and deletions at the database level. * 🛡️ fix: Scope updateAction filter in agent duplication handler * 🐛 fix: Use action metadata domain instead of action_id when duplicating agent actions The duplicate handler was splitting `action.action_id` by `actionDelimiter` to extract the domain, but `action_id` is a bare nanoid that doesn't contain the delimiter. This produced malformed entries in the duplicated agent's actions array (nanoid_action_newNanoid instead of domain_action_newNanoid). The domain is available on `action.metadata.domain`. * ✅ test: Add integration tests for agent duplication action handling Uses MongoMemoryServer with real Agent and Action models to verify: - Duplicated actions use metadata.domain (not action_id) for the agent actions array entries - Sensitive metadata fields are stripped from duplicated actions - Original action documents are not modified	2026-03-15 10:19:29 -04:00
Danny Avila	9a5d7eaa4e	⚡ 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
Danny Avila	e1e204d6cf	🧮 refactor: Bulk Transactions & Balance Updates for Token Spending (#11996) ... * refactor: transaction handling by integrating pricing and bulk write operations - Updated `recordCollectedUsage` to accept pricing functions and bulk write operations, improving transaction management. - Refactored `AgentClient` and related controllers to utilize the new transaction handling capabilities, ensuring better performance and accuracy in token spending. - Added tests to validate the new functionality, ensuring correct behavior for both standard and bulk transaction paths. - Introduced a new `transactions.ts` file to encapsulate transaction-related logic and types, enhancing code organization and maintainability. * chore: reorganize imports in agents client controller - Moved `getMultiplier` and `getCacheMultiplier` imports to maintain consistency and clarity in the import structure. - Removed duplicate import of `updateBalance` and `bulkInsertTransactions`, streamlining the code for better readability. * refactor: add TransactionData type and CANCEL_RATE constant to data-schemas Establishes a single source of truth for the transaction document shape and the incomplete-context billing rate constant, both consumed by packages/api and api/. * refactor: use proper types in data-schemas transaction methods - Replace `as unknown as { tokenCredits }` with `lean<IBalance>()` - Use `TransactionData[]` instead of `Record<string, unknown>[]` for bulkInsertTransactions parameter - Add JSDoc noting insertMany bypasses document middleware - Remove orphan section comment in methods/index.ts * refactor: use shared types in transactions.ts, fix bulk write logic - Import CANCEL_RATE from data-schemas instead of local duplicate - Import TransactionData from data-schemas for PreparedEntry/BulkWriteDeps - Use tilde alias for EndpointTokenConfig import - Pass valueKey through to getMultiplier - Only sum tokenValue for balance-enabled docs in bulkWriteTransactions - Consolidate two loops into single-pass map * refactor: remove duplicate updateBalance from Transaction.js Import updateBalance from ~/models (sourced from data-schemas) instead of maintaining a second copy. Also import CANCEL_RATE from data-schemas and remove the Balance model import (no longer needed directly). * fix: test real spendCollectedUsage instead of IIFE replica Export spendCollectedUsage from abortMiddleware.js and rewrite the test file to import and test the actual function. Previously the tests ran against a hand-written replica that could silently diverge from the real implementation. * test: add transactions.spec.ts and restore regression comments Add 22 direct unit tests for transactions.ts financial logic covering prepareTokenSpend, prepareStructuredTokenSpend, bulkWriteTransactions, CANCEL_RATE paths, NaN guards, disabled transactions, zero tokens, cache multipliers, and balance-enabled filtering. Restore critical regression documentation comments in recordCollectedUsage.spec.js explaining which production bugs the tests guard against. * fix: widen setValues type to include lastRefill The UpdateBalanceParams.setValues type was Partial<Pick<IBalance, 'tokenCredits'>> which excluded lastRefill — used by createAutoRefillTransaction. Widen to also pick 'lastRefill'. * test: use real MongoDB for bulkWriteTransactions tests Replace mock-based bulkWriteTransactions tests with real DB tests using MongoMemoryServer. Pure function tests (prepareTokenSpend, prepareStructuredTokenSpend) remain mock-based since they don't touch DB. Add end-to-end integration tests that verify the full prepare → bulk write → DB state pipeline with real Transaction and Balance models. * chore: update @librechat/agents dependency to version 3.1.54 in package-lock.json and related package.json files * test: add bulk path parity tests proving identical DB outcomes Three test suites proving the bulk path (prepareTokenSpend/ prepareStructuredTokenSpend + bulkWriteTransactions) produces numerically identical results to the legacy path for all scenarios: - usage.bulk-parity.spec.ts: mirrors all legacy recordCollectedUsage tests; asserts same return values and verifies metadata fields on the insertMany docs match what spendTokens args would carry - transactions.bulk-parity.spec.ts: real-DB tests using actual getMultiplier/getCacheMultiplier pricing functions; asserts exact tokenValue, rate, rawAmount and balance deductions for standard tokens, structured/cache tokens, CANCEL_RATE, premium pricing, multi-entry batches, and edge cases (NaN, zero, disabled) - Transaction.spec.js: adds describe('Bulk path parity') that mirrors 7 key legacy tests via recordCollectedUsage + bulk deps against real MongoDB, asserting same balance deductions and doc counts * refactor: update llmConfig structure to use modelKwargs for reasoning effort Refactor the llmConfig in getOpenAILLMConfig to store reasoning effort within modelKwargs instead of directly on llmConfig. This change ensures consistency in the configuration structure and improves clarity in the handling of reasoning properties in the tests. * test: update performance checks in processAssistantMessage tests Revise the performance assertions in the processAssistantMessage tests to ensure that each message processing time remains under 100ms, addressing potential ReDoS vulnerabilities. This change enhances the reliability of the tests by focusing on maximum processing time rather than relative ratios. * test: fill parity test gaps — model fallback, abort context, structured edge cases - usage.bulk-parity: add undefined model fallback test - transactions.bulk-parity: add abort context test (txns inserted, balance unchanged when balance not passed), fix readTokens type cast - Transaction.spec: add 3 missing mirrors — balance disabled with transactions enabled, structured transactions disabled, structured balance disabled * fix: deduct balance before inserting transactions to prevent orphaned docs Swap the order in bulkWriteTransactions: updateBalance runs before insertMany. If updateBalance fails (after exhausting retries), no transaction documents are written — avoiding the inconsistent state where transactions exist in MongoDB with no corresponding balance deduction. * chore: import order * test: update config.spec.ts for OpenRouter reasoning in modelKwargs Same fix as llm.spec.ts — OpenRouter reasoning is now passed via modelKwargs instead of llmConfig.reasoning directly.	2026-03-01 12:26:36 -05:00
Danny Avila	8b159079f5	🪙 feat: Add messageId to Transactions (#11987) ... * feat: Add messageId to transactions * chore: field order * feat: Enhance token usage tracking by adding messageId parameter - Updated `recordTokenUsage` method in BaseClient to accept a new `messageId` parameter for improved tracking. - Propagated `messageId` in the AgentClient when recording usage. - Added tests to ensure `messageId` is correctly passed and handled in various scenarios, including propagation across multiple usage entries. * chore: Correct field order in createGeminiImageTool function - Moved the conversationId field to the correct position in the object being passed to the recordTokenUsage method, ensuring proper parameter alignment for improved functionality. * refactor: Update OpenAIChatCompletionController and createResponse to use responseId instead of requestId - Replaced instances of requestId with responseId in the OpenAIChatCompletionController for improved clarity in logging and tracking. - Updated createResponse to include responseId in the requestBody, ensuring consistency across the handling of message identifiers. * test: Add messageId to agent client tests - Included messageId in the agent client tests to ensure proper handling and propagation of message identifiers during transaction recording. - This update enhances the test coverage for scenarios involving messageId, aligning with recent changes in the tracking of message identifiers. * fix: Update OpenAIChatCompletionController to use requestId for context - Changed the context object in OpenAIChatCompletionController to use `requestId` instead of `responseId` for improved clarity and consistency in handling request identifiers. * chore: field order	2026-02-27 23:50:13 -05:00
marbence101	3a079b980a	📌 fix: Populate userMessage.files Before First DB Save (#11939) ... * fix: populate userMessage.files before first DB save * fix: ESLint error fixed * fix: deduplicate file-population logic and add test coverage Extract `buildMessageFiles` helper into `packages/api/src/utils/message` to replace three near-identical loops in BaseClient and both agent controllers. Fixes set poisoning from undefined file_id entries, moves file population inside the skipSaveUserMessage guard to avoid wasted work, and adds full unit test coverage for the new behavior. * chore: reorder import statements in openIdJwtStrategy.js for consistency --------- Co-authored-by: Danny Avila <danny@librechat.ai>	2026-02-26 09:16:45 -05:00
Danny Avila	a0f9782e60	🪣 fix: Prevent Memory Retention from AsyncLocalStorage Context Propagation (#11942) ... * fix: store hide_sequential_outputs before processStream clears config processStream now clears config.configurable after completion to break memory retention chains. Save hide_sequential_outputs to a local variable before calling runAgents so the post-stream filter still works. * feat: memory diagnostics * chore: expose garbage collection in backend inspect command Updated the backend inspect command in package.json to include the --expose-gc flag, enabling garbage collection diagnostics for improved memory management during development. * chore: update @librechat/agents dependency to version 3.1.52 Bumped the version of @librechat/agents in package.json and package-lock.json to ensure compatibility and access to the latest features and fixes. * fix: clear heavy config state after processStream to prevent memory leaks Break the reference chain from LangGraph's internal __pregel_scratchpad through @langchain/core RunTree.extra[lc:child_config] into the AsyncLocalStorage context captured by timers and I/O handles. After stream completion, null out symbol-keyed scratchpad properties (currentTaskInput), config.configurable, and callbacks. Also call Graph.clearHeavyState() to release config, signal, content maps, handler registry, and tool sessions. * chore: fix imports for memory utils * chore: add circular dependency check in API build step Enhanced the backend review workflow to include a check for circular dependencies during the API build process. If a circular dependency is detected, an error message is displayed, and the process exits with a failure status. * chore: update API build step to include circular dependency detection Modified the backend review workflow to rename the API package installation step to reflect its new functionality, which now includes detection of circular dependencies during the build process. * chore: add memory diagnostics option to .env.example Included a commented-out configuration option for enabling memory diagnostics in the .env.example file, which logs heap and RSS snapshots every 60 seconds when activated. * chore: remove redundant agentContexts cleanup in disposeClient function Streamlined the disposeClient function by eliminating duplicate cleanup logic for agentContexts, ensuring efficient memory management during client disposal. * refactor: move runOutsideTracing utility to utils and update its usage Refactored the runOutsideTracing function by relocating it to the utils module for better organization. Updated the tool execution handler to utilize the new import, ensuring consistent tracing behavior during tool execution. * refactor: enhance connection management and diagnostics Added a method to ConnectionsRepository for retrieving the active connection count. Updated UserConnectionManager to utilize this new method for app connection count reporting. Refined the OAuthReconnectionTracker's getStats method to improve clarity in diagnostics. Introduced a new tracing utility in the utils module to streamline tracing context management. Additionally, added a safeguard in memory diagnostics to prevent unnecessary snapshot collection for very short intervals. * refactor: enhance tracing utility and add memory diagnostics tests Refactored the runOutsideTracing function to improve warning logic when the AsyncLocalStorage context is missing. Added tests for memory diagnostics and tracing utilities to ensure proper functionality and error handling. Introduced a new test suite for memory diagnostics, covering snapshot collection and garbage collection behavior.	2026-02-25 17:41:23 -05:00
Danny Avila	b349f2f876	🪣 fix: Serve Fresh Presigned URLs on Agent List Cache Hits (#11902) ... * fix: serve cached presigned URLs on agent list cache hits On a cache hit the list endpoint was skipping the S3 refresh and returning whatever presigned URL was stored in MongoDB, which could be expired if the S3 URL TTL is shorter than the 30-minute cache window. refreshListAvatars now collects a urlCache map (agentId -> refreshed filepath) alongside its existing stats. The controller stores this map in the cache instead of a plain boolean and re-applies it to every paginated response, guaranteeing clients always receive a URL that was valid as of the last refresh rather than a potentially stale DB value. * fix: improve avatar refresh cache handling and logging Updated the avatar refresh logic to validate cached refresh data before proceeding with S3 URL updates. Enhanced logging to exclude sensitive `urlCache` details while still providing relevant statistics. Added error handling for cache invalidation during avatar updates to ensure robustness. * fix: update avatar refresh logic to clear urlCache on no change Modified the avatar refresh function to clear the urlCache when no new path is generated, ensuring that stale URLs are not retained. This change improves cache handling and aligns with the updated logic for avatar updates. * fix: enhance avatar refresh logic to handle legacy cache entries Updated the avatar refresh logic to accommodate legacy boolean cache entries, ensuring they are treated as cache misses and triggering a refresh. The cache now stores a structured `urlCache` map instead of a boolean, improving cache handling. Added tests to verify correct behavior for cache hits and misses, ensuring clients receive valid URLs based on the latest refresh.	2026-02-22 18:29:31 -05:00
Danny Avila	5ea59ecb2b	🐛 fix: Normalize output_text blocks in Responses API input conversion (#11835) ... * 🐛 fix: Normalize `output_text` blocks in Responses API input conversion Treat `output_text` content blocks the same as `input_text` when converting Responses API input to internal message format. Previously, assistant messages containing `output_text` blocks fell through to the default handler, producing `{ type: 'output_text' }` without a `text` field, which caused downstream provider adapters (e.g. Bedrock) to fail with "Unsupported content block type: output_text". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: Remove ChatModelStreamHandler from OpenAI and Responses controllers Eliminated the ChatModelStreamHandler from both OpenAIChatCompletionController and createResponse functions to streamline event handling. This change simplifies the code by relying on existing handlers for message deltas and reasoning deltas, enhancing maintainability and reducing complexity in the agent's event processing logic. * feat: Enhance input conversion in Responses API Updated the `convertInputToMessages` function to handle additional content types, including `input_file` and `refusal` blocks, ensuring they are converted to appropriate message formats. Implemented null filtering for content arrays and default values for missing fields, improving robustness. Added comprehensive unit tests to validate these changes and ensure correct behavior across various input scenarios. * fix: Forward upstream provider status codes in error responses Updated error handling in OpenAIChatCompletionController and createResponse functions to forward upstream provider status codes (e.g., Anthropic 400s) instead of masking them as 500. This change improves error reporting by providing more accurate status codes and error types, enhancing the clarity of error responses for clients. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-17 22:34:19 -05:00
Danny Avila	e710a12bfb	🪆 refactor: Internalize Producer Event Handling into Agent Graph Context (#11816) ... * 🔧 refactor: Simplify Event Handling with Consumer Callbacks only Removed direct handling of tool calls from the ModelEndHandler and using ChatModelStreamHandler outside of graph contexts, as are now managed within the graph execution context to maintain it as a producer of events, and the model end handler as a consumer. This change eliminates potential race conditions and streamlines the processing of model end events. /** * handleToolCalls is now called from within the graph execution context * (Graph.createCallModel, after attemptInvoke) rather than here in the * stream consumer. This eliminates the race condition where ToolNode * could read toolCallStepIds before this handler had populated it, * since the stream consumer and graph execution run concurrently. */ * 📦 chore: Update `@librechat/agents` to v3.1.50	2026-02-17 00:53:22 -05:00
Danny Avila	f72378d389	🧩 chore: Extract Agent Client Utilities to /packages/api (#11789) ... Extract 7 standalone utilities from api/server/controllers/agents/client.js into packages/api/src/agents/client.ts for TypeScript support and to declutter the 1400-line controller module: - omitTitleOptions: Set of keys to exclude from title generation options - payloadParser: Extracts model_parameters from request body for non-agent endpoints - createTokenCounter: Factory for langchain-compatible token counting functions - logToolError: Callback handler for agent tool execution errors - findPrimaryAgentId: Resolves primary agent from suffixed parallel agent IDs - createMultiAgentMapper: Message content processor that filters parallel agent output to primary agents and applies agent labels for handoff/multi-agent flows Supporting changes: - Add endpointOption and endpointType to RequestBody type (packages/api/src/types/http.ts) so payloadParser can access middleware-attached fields without type casts - Add @typescript-eslint/no-unused-vars with underscore ignore patterns to the packages/api eslint config block, matching the convention used by client/ and data-provider/ blocks - Update agent controller imports to consume the moved functions from @librechat/api and remove now-unused direct imports (logAxiosError, labelContentByAgent, getTokenCountForMessage)	2026-02-13 23:17:53 -05:00
Danny Avila	467df0f07a	🎭 feat: Override Custom Endpoint Schema with Specified Params Endpoint (#11788) ... * 🔧 refactor: Simplify payload parsing and enhance getSaveOptions logic - Removed unused bedrockInputSchema from payloadParser, streamlining the function. - Updated payloadParser to handle optional chaining for model parameters. - Enhanced getSaveOptions to ensure runOptions defaults to an empty object if parsing fails, improving robustness. - Adjusted the assignment of maxContextTokens to use the instance variable for consistency. * 🔧 fix: Update maxContextTokens assignment logic in initializeAgent function - Enhanced the maxContextTokens assignment to allow for user-defined values, ensuring it defaults to a calculated value only when not provided or invalid. This change improves flexibility in agent initialization. * 🧪 test: Add unit tests for initializeAgent function - Introduced comprehensive unit tests for the initializeAgent function, focusing on maxContextTokens behavior. - Tests cover scenarios for user-defined values, fallback calculations, and edge cases such as zero and negative values, enhancing overall test coverage and reliability of agent initialization logic. * refactor: default params Endpoint Configuration Handling - Integrated `getEndpointsConfig` to fetch endpoint configurations, allowing for dynamic handling of `defaultParamsEndpoint`. - Updated `buildEndpointOption` to pass `defaultParamsEndpoint` to `parseCompactConvo`, ensuring correct parameter handling based on endpoint type. - Added comprehensive unit tests for `buildDefaultConvo` and `cleanupPreset` to validate behavior with `defaultParamsEndpoint`, covering various scenarios and edge cases. - Refactored related hooks and utility functions to support the new configuration structure, improving overall flexibility and maintainability. * refactor: Centralize defaultParamsEndpoint retrieval - Introduced `getDefaultParamsEndpoint` function to streamline the retrieval of `defaultParamsEndpoint` across various hooks and middleware. - Updated multiple files to utilize the new function, enhancing code consistency and maintainability. - Removed redundant logic for fetching `defaultParamsEndpoint`, simplifying the codebase.	2026-02-13 23:04:51 -05:00
Danny Avila	7067c35787	🏁 fix: Resolve Content Aggregation Race Condition in Agent Event Handlers (#11757) ... * 🔧 refactor: Consolidate aggregateContent calls in agent handlers - Moved aggregateContent function calls to the beginning of the event handling functions in the agent callbacks to ensure consistent data aggregation before processing events. This change improves code clarity and maintains the intended functionality without redundancy. * 🔧 chore: Update @librechat/agents to version 3.1.40 in package.json and package-lock.json across multiple packages * 🔧 fix: Increase default recursion limit in AgentClient from 25 to 50 for improved processing capability	2026-02-12 15:42:22 -05:00
Danny Avila	feb72ad2dc	🔄 refactor: Sequential Event Ordering in Redis Streaming Mode (#11650) ... * chore: linting image context file * refactor: Event Emission with Async Handling for Redis Ordering - Updated emitEvent and related functions to be async, ensuring proper event ordering in Redis mode. - Refactored multiple handlers to await emitEvent calls, improving reliability for streaming deltas. - Enhanced GenerationJobManager to await chunk emissions, critical for maintaining sequential event delivery. - Added tests to verify that events are delivered in strict order when using Redis, addressing previous issues with out-of-order messages. * refactor: Clear Pending Buffers and Timeouts in RedisEventTransport - Enhanced the cleanup process in RedisEventTransport by ensuring that pending messages and flush timeouts are cleared when the last subscriber unsubscribes. - Updated the destroy method to also clear pending messages and flush timeouts for all streams, improving resource management and preventing memory leaks. * refactor: Update Event Emission to Async for Improved Ordering - Refactored GenerationJobManager and RedisEventTransport to make emitDone and emitError methods async, ensuring proper event ordering in Redis mode. - Updated all relevant calls to await these methods, enhancing reliability in event delivery. - Adjusted tests to verify that events are processed in the correct sequence, addressing previous issues with out-of-order messages. * refactor: Adjust RedisEventTransport for 0-Indexed Sequence Handling - Updated sequence handling in RedisEventTransport to be 0-indexed, ensuring consistency across event emissions and buffer management. - Modified integration tests to reflect the new sequence logic, improving the accuracy of event processing and delivery order. - Enhanced comments for clarity on sequence management and terminal event handling. * chore: Add Redis dump file to .gitignore - Included dump.rdb in .gitignore to prevent accidental commits of Redis database dumps, enhancing repository cleanliness and security. * test: Increase wait times in RedisEventTransport integration tests for CI stability - Adjusted wait times for subscription establishment and event propagation from 100ms and 200ms to 500ms to improve reliability in CI environments. - Enhanced code readability by formatting promise resolution lines for better clarity.	2026-02-05 17:57:33 +01:00
Danny Avila	9a38af5875	📉 feat: Add Token Usage Tracking for Agents API Routes (#11600) ... * feat: Implement token usage tracking for OpenAI and Responses controllers - Added functionality to record token usage against user balances in OpenAIChatCompletionController and createResponse functions. - Introduced new utility functions for managing token spending and structured token usage. - Enhanced error handling for token recording to improve logging and debugging capabilities. - Updated imports to include new usage tracking methods and configurations. * test: Add unit tests for recordCollectedUsage function in usage.spec.ts - Introduced comprehensive tests for the recordCollectedUsage function, covering various scenarios including handling empty and null collectedUsage, single and multiple usage entries, and sequential and parallel execution cases. - Enhanced token handling tests to ensure correct calculations for both OpenAI and Anthropic formats, including cache token management. - Improved overall test coverage for usage tracking functionality, ensuring robust validation of expected behaviors and outcomes. * test: Add unit tests for OpenAI and Responses API controllers - Introduced comprehensive unit tests for the OpenAIChatCompletionController and createResponse functions, focusing on the correct invocation of recordCollectedUsage for token spending. - Enhanced tests to validate the passing of balance and transactions configuration to the recordCollectedUsage function. - Ensured proper dependency injection of spendTokens and spendStructuredTokens in the usage recording process. - Improved overall test coverage for token usage tracking, ensuring robust validation of expected behaviors and outcomes.	2026-02-01 21:36:51 -05:00
Danny Avila	5af1342dbb	🦥 refactor: Event-Driven Lazy Tool Loading (#11588) ... * refactor: json schema tools with lazy loading - Added LocalToolExecutor class for lazy loading and caching of tools during execution. - Introduced ToolExecutionContext and ToolExecutor interfaces for better type management. - Created utility functions to generate tool proxies with JSON schema support. - Added ExtendedJsonSchema type for enhanced schema definitions. - Updated existing toolkits to utilize the new schema and executor functionalities. - Introduced a comprehensive tool definitions registry for managing various tool schemas. chore: update @librechat/agents to version 3.1.2 refactor: enhance tool loading optimization and classification - Improved the loadAgentToolsOptimized function to utilize a proxy pattern for all tools, enabling deferred execution and reducing overhead. - Introduced caching for tool instances and refined tool classification logic to streamline tool management. - Updated the handling of MCP tools to improve logging and error reporting for missing tools in the cache. - Enhanced the structure of tool definitions to support better classification and integration with existing tools. refactor: modularize tool loading and enhance optimization - Moved the loadAgentToolsOptimized function to a new service file for better organization and maintainability. - Updated the ToolService to utilize the new service for optimized tool loading, improving code clarity. - Removed legacy tool loading methods and streamlined the tool loading process to enhance performance and reduce complexity. - Introduced feature flag handling for optimized tool loading, allowing for easier toggling of this functionality. refactor: replace loadAgentToolsWithFlag with loadAgentTools in tool loader refactor: enhance MCP tool loading with proxy creation and classification refactor: optimize MCP tool loading by grouping tools by server - Introduced a Map to group cached tools by server name, improving the organization of tool data. - Updated the createMCPProxyTool function to accept server name directly, enhancing clarity. - Refactored the logic for handling MCP tools, streamlining the process of creating proxy tools for classification. refactor: enhance MCP tool loading and proxy creation - Added functionality to retrieve MCP server tools and reinitialize servers if necessary, improving tool availability. - Updated the tool loading logic to utilize a Map for organizing tools by server, enhancing clarity and performance. - Refactored the createToolProxy function to ensure a default response format, streamlining tool creation. refactor: update createToolProxy to ensure consistent response format - Modified the createToolProxy function to await the executor's execution and validate the result format. - Ensured that the function returns a default response structure when the result is not an array of two elements, enhancing reliability in tool proxy creation. refactor: ToolExecutionContext with toolCall property - Added toolCall property to ToolExecutionContext interface for improved context handling during tool execution. - Updated LocalToolExecutor to include toolCall in the runnable configuration, allowing for more flexible tool invocation. - Modified createToolProxy to pass toolCall from the configuration, ensuring consistent context across tool executions. refactor: enhance event-driven tool execution and logging - Introduced ToolExecuteOptions for improved handling of event-driven tool execution, allowing for parallel execution of tool calls. - Updated getDefaultHandlers to include support for ON_TOOL_EXECUTE events, enhancing the flexibility of tool invocation. - Added detailed logging in LocalToolExecutor to track tool loading and execution metrics, improving observability and debugging capabilities. - Refactored initializeClient to integrate event-driven tool loading, ensuring compatibility with the new execution model. chore: update @librechat/agents to version 3.1.21 refactor: remove legacy tool loading and executor components - Eliminated the loadAgentToolsWithFlag function, simplifying the tool loading process by directly using loadAgentTools. - Removed the LocalToolExecutor and related executor components to streamline the tool execution architecture. - Updated ToolService and related files to reflect the removal of deprecated features, enhancing code clarity and maintainability. refactor: enhance tool classification and definitions handling - Updated the loadAgentTools function to return toolDefinitions alongside toolRegistry, improving the structure of tool data returned to clients. - Removed the convertRegistryToDefinitions function from the initialize.js file, simplifying the initialization process. - Adjusted the buildToolClassification function to ensure toolDefinitions are built and returned simultaneously with the toolRegistry, enhancing efficiency in tool management. - Updated type definitions in initialize.ts to include toolDefinitions, ensuring consistency across the codebase. refactor: implement event-driven tool execution handler - Introduced createToolExecuteHandler function to streamline the handling of ON_TOOL_EXECUTE events, allowing for parallel execution of tool calls. - Updated getDefaultHandlers to utilize the new handler, simplifying the event-driven architecture. - Added handlers.ts file to encapsulate tool execution logic, improving code organization and maintainability. - Enhanced OpenAI handlers to integrate the new tool execution capabilities, ensuring consistent event handling across the application. refactor: integrate event-driven tool execution options - Added toolExecuteOptions to support event-driven tool execution in OpenAI and responses controllers, enhancing flexibility in tool handling. - Updated handlers to utilize createToolExecuteHandler, allowing for streamlined execution of tools during agent interactions. - Refactored service dependencies to include toolExecuteOptions, ensuring consistent integration across the application. refactor: enhance tool loading with definitionsOnly parameter - Updated createToolLoader and loadAgentTools functions to include a definitionsOnly parameter, allowing for the retrieval of only serializable tool definitions in event-driven mode. - Adjusted related interfaces and documentation to reflect the new parameter, improving clarity and flexibility in tool management. - Ensured compatibility across various components by integrating the definitionsOnly option in the initialization process. refactor: improve agent tool presence check in initialization - Added a check for tool presence using a new hasAgentTools variable, which evaluates both structuredTools and toolDefinitions. - Updated the conditional logic in the agent initialization process to utilize the hasAgentTools variable, enhancing clarity and maintainability in tool management. refactor: enhance agent tool extraction to support tool definitions - Updated the extractMCPServers function to handle both tool instances and serializable tool definitions, improving flexibility in agent tool management. - Added a new property toolDefinitions to the AgentWithTools type for better integration of event-driven mode. - Enhanced documentation to clarify the function's capabilities in extracting unique MCP server names from both tools and tool definitions. refactor: enhance tool classification and registry building - Added serverName property to ToolDefinition for improved tool identification. - Introduced buildToolRegistry function to streamline the creation of tool registries based on MCP tool definitions and agent options. - Updated buildToolClassification to utilize the new registry building logic, ensuring basic definitions are returned even when advanced classification features are not allowed. - Enhanced documentation and logging for clarity in tool classification processes. refactor: update @librechat/agents dependency to version 3.1.22 fix: expose loadTools function in ToolService - Added loadTools function to the exported module in ToolService.js, enhancing the accessibility of tool loading functionality. chore: remove configurable options from tool execute options in OpenAI controller refactor: enhance tool loading mechanism to utilize agent-specific context chore: update @librechat/agents dependency to version 3.1.23 fix: simplify result handling in createToolExecuteHandler * refactor: loadToolDefinitions for efficient tool loading in event-driven mode * refactor: replace legacy tool loading with loadToolsForExecution in OpenAI and responses controllers - Updated OpenAIChatCompletionController and createResponse functions to utilize loadToolsForExecution for improved tool loading. - Removed deprecated loadToolsLegacy references, streamlining the tool execution process. - Enhanced tool loading options to include agent-specific context and configurations. * refactor: enhance tool loading and execution handling - Introduced loadActionToolsForExecution function to streamline loading of action tools, improving organization and maintainability. - Updated loadToolsForExecution to handle both regular and action tools, optimizing the tool loading process. - Added detailed logging for missing tools in createToolExecuteHandler, enhancing error visibility. - Refactored tool definitions to normalize action tool names, improving consistency in tool management. * refactor: enhance built-in tool definitions loading - Updated loadToolDefinitions to include descriptions and parameters from the tool registry for built-in tools, improving the clarity and usability of tool definitions. - Integrated getToolDefinition to streamline the retrieval of tool metadata, enhancing the overall tool management process. * feat: add action tool definitions loading to tool service - Introduced getActionToolDefinitions function to load action tool definitions based on agent ID and tool names, enhancing the tool loading process. - Updated loadToolDefinitions to integrate action tool definitions, allowing for better management and retrieval of action-specific tools. - Added comprehensive tests for action tool definitions to ensure correct loading and parameter handling, improving overall reliability and functionality. * chore: update @librechat/agents dependency to version 3.1.26 * refactor: add toolEndCallback to handle tool execution results * fix: tool definitions and execution handling - Introduced native tools (execute_code, file_search, web_search) to the tool service, allowing for better integration and management of these tools. - Updated isBuiltInTool function to include native tools in the built-in check, improving tool recognition. - Added comprehensive tests for loading parameters of native tools, ensuring correct functionality and parameter handling. - Enhanced tool definitions registry to include new agent tool definitions, streamlining tool retrieval and management. * refactor: enhance tool loading and execution context - Added toolRegistry to the context for OpenAIChatCompletionController and createResponse functions, improving tool management. - Updated loadToolsForExecution to utilize toolRegistry for better integration of programmatic tools and tool search functionalities. - Enhanced the initialization process to include toolRegistry in agent context, streamlining tool access and configuration. - Refactored tool classification logic to support event-driven execution, ensuring compatibility with new tool definitions. * chore: add request duration logging to OpenAI and Responses controllers - Introduced logging for request start and completion times in OpenAIChatCompletionController and createResponse functions. - Calculated and logged the duration of each request, enhancing observability and performance tracking. - Improved debugging capabilities by providing detailed logs for both streaming and non-streaming responses. * chore: update @librechat/agents dependency to version 3.1.27 * refactor: implement buildToolSet function for tool management - Introduced buildToolSet function to streamline the creation of tool sets from agent configurations, enhancing tool management across various controllers. - Updated AgentClient, OpenAIChatCompletionController, and createResponse functions to utilize buildToolSet, improving consistency in tool handling. - Added comprehensive tests for buildToolSet to ensure correct functionality and edge case handling, enhancing overall reliability. * refactor: update import paths for ToolExecuteOptions and createToolExecuteHandler * fix: update GoogleSearch.js description for maximum search results - Changed the default maximum number of search results from 10 to 5 in the Google Search JSON schema description, ensuring accurate documentation of the expected behavior. * chore: remove deprecated Browser tool and associated assets - Deleted the Browser tool definition from manifest.json, which included its name, plugin key, description, and authentication configuration. - Removed the web-browser.svg asset as it is no longer needed following the removal of the Browser tool. * fix: ensure tool definitions are valid before processing - Added a check to verify the existence of tool definitions in the registry before accessing their properties, preventing potential runtime errors. - Updated the loading logic for built-in tool definitions to ensure that only valid definitions are pushed to the built-in tool definitions array. * fix: extend ExtendedJsonSchema to support 'null' type and nullable enums - Updated the ExtendedJsonSchema type to include 'null' as a valid type option. - Modified the enum property to accept an array of values that can include strings, numbers, booleans, and null, enhancing schema flexibility. * test: add comprehensive tests for tool definitions loading and registry behavior - Implemented tests to verify the handling of built-in tools without registry definitions, ensuring they are skipped correctly. - Added tests to confirm that built-in tools include descriptions and parameters in the registry. - Enhanced tests for action tools, checking for proper inclusion of metadata and handling of tools without parameters in the registry. * test: add tests for mixed-type and number enum schema handling - Introduced tests to validate the parsing of mixed-type enum values, including strings, numbers, booleans, and null. - Added tests for number enum schema values to ensure correct parsing of numeric inputs, enhancing schema validation coverage. * fix: update mock implementation for @librechat/agents - Changed the mock for @librechat/agents to spread the actual module's properties, ensuring that all necessary functionalities are preserved in tests. - This adjustment enhances the accuracy of the tests by reflecting the real structure of the module. * fix: change max_results type in GoogleSearch schema from number to integer - Updated the type of max_results in the Google Search JSON schema to 'integer' for better type accuracy and validation consistency. * fix: update max_results description and type in GoogleSearch schema - Changed the type of max_results from 'number' to 'integer' for improved type accuracy. - Updated the description to reflect the new default maximum number of search results, changing it from 10 to 5. * refactor: remove unused code and improve tool registry handling - Eliminated outdated comments and conditional logic related to event-driven mode in the ToolService. - Enhanced the handling of the tool registry by ensuring it is configurable for better integration during tool execution. * feat: add definitionsOnly option to buildToolClassification for event-driven mode - Introduced a new parameter, definitionsOnly, to the BuildToolClassificationParams interface to enable a mode that skips tool instance creation. - Updated the buildToolClassification function to conditionally add tool definitions without instantiating tools when definitionsOnly is true. - Modified the loadToolDefinitions function to pass definitionsOnly as true, ensuring compatibility with the new feature. * test: add unit tests for buildToolClassification with definitionsOnly option - Implemented tests to verify the behavior of buildToolClassification when definitionsOnly is set to true or false. - Ensured that tool instances are not created when definitionsOnly is true, while still adding necessary tool definitions. - Confirmed that loadAuthValues is called appropriately based on the definitionsOnly parameter, enhancing test coverage for this new feature.	2026-02-01 08:50:57 -05:00
Danny Avila	6279ea8dd7	🛸 feat: Remote Agent Access with External API Support (#11503) ... * 🪪 feat: Microsoft Graph Access Token Placeholder for MCP Servers (#10867) * feat: MCP Graph Token env var * Addressing copilot remarks * Addressed Copilot review remarks * Fixed graphtokenservice mock in MCP test suite * fix: remove unnecessary type check and cast in resolveGraphTokensInRecord * ci: add Graph Token integration tests in MCPManager * refactor: update user type definitions to use Partial<IUser> in multiple functions * test: enhance MCP tests for graph token processing and user placeholder resolution - Added comprehensive tests to validate the interaction between preProcessGraphTokens and processMCPEnv. - Ensured correct resolution of graph tokens and user placeholders in various configurations. - Mocked OIDC utilities to facilitate testing of token extraction and validation. - Verified that original options remain unchanged after processing. * chore: import order * chore: imports --------- Co-authored-by: Danny Avila <danny@librechat.ai> * WIP: OpenAI-compatible API for LibreChat agents - Added OpenAIChatCompletionController for handling chat completions. - Introduced ListModelsController and GetModelController for listing and retrieving agent details. - Created routes for OpenAI API endpoints, including /v1/chat/completions and /v1/models. - Developed event handlers for streaming responses in OpenAI format. - Implemented request validation and error handling for API interactions. - Integrated content aggregation and response formatting to align with OpenAI specifications. This commit establishes a foundational API for interacting with LibreChat agents in a manner compatible with OpenAI's chat completion interface. * refactor: OpenAI-spec content aggregation for improved performance and clarity * fix: OpenAI chat completion controller with safe user handling for correct tool loading * refactor: Remove conversation ID from OpenAI response context and related handlers * refactor: OpenAI chat completion handling with streaming support - Introduced a lightweight tracker for streaming responses, allowing for efficient tracking of emitted content and usage metadata. - Updated the OpenAIChatCompletionController to utilize the new tracker, improving the handling of streaming and non-streaming responses. - Refactored event handlers to accommodate the new streaming logic, ensuring proper management of tool calls and content aggregation. - Adjusted response handling to streamline error reporting during streaming sessions. * WIP: Open Responses API with core service, types, and handlers - Added Open Responses API module with comprehensive types and enums. - Implemented core service for processing requests, including validation and input conversion. - Developed event handlers for streaming responses and non-streaming aggregation. - Established response building logic and error handling mechanisms. - Created detailed types for input and output content, ensuring compliance with Open Responses specification. * feat: Implement response storage and retrieval in Open Responses API - Added functionality to save user input messages and assistant responses to the database when the `store` flag is set to true. - Introduced a new endpoint to retrieve stored responses by ID, allowing users to access previous interactions. - Enhanced the response creation process to include database operations for conversation and message storage. - Implemented tests to validate the storage and retrieval of responses, ensuring correct behavior for both existing and non-existent response IDs. * refactor: Open Responses API with additional token tracking and validation - Added support for tracking cached tokens in response usage, improving token management. - Updated response structure to include new properties for top log probabilities and detailed usage metrics. - Enhanced tests to validate the presence and types of new properties in API responses, ensuring compliance with updated specifications. - Refactored response handling to accommodate new fields and improve overall clarity and performance. * refactor: Update reasoning event handlers and types for consistency - Renamed reasoning text events to simplify naming conventions, changing `emitReasoningTextDelta` to `emitReasoningDelta` and `emitReasoningTextDone` to `emitReasoningDone`. - Updated event types in the API to reflect the new naming, ensuring consistency across the codebase. - Added `logprobs` property to output events for enhanced tracking of log probabilities. * feat: Add validation for streaming events in Open Responses API tests * feat: Implement response.created event in Open Responses API - Added emitResponseCreated function to emit the response.created event as the first event in the streaming sequence, adhering to the Open Responses specification. - Updated createResponse function to emit response.created followed by response.in_progress. - Enhanced tests to validate the order of emitted events, ensuring response.created is triggered before response.in_progress. * feat: Responses API with attachment event handling - Introduced `createResponsesToolEndCallback` to handle attachment events in the Responses API, emitting `librechat:attachment` events as per the Open Responses extension specification. - Updated the `createResponse` function to utilize the new callback for processing tool outputs and emitting attachments during streaming. - Added helper functions for writing attachment events and defined types for attachment data, ensuring compatibility with the Open Responses protocol. - Enhanced tests to validate the integration of attachment events within the Responses API workflow. * WIP: remote agent auth * fix: Improve loading state handling in AgentApiKeys component - Updated the rendering logic to conditionally display loading spinner and API keys based on the loading state. - Removed unnecessary imports and streamlined the component for better readability. * refactor: Update API key access handling in routes - Replaced `checkAccess` with `generateCheckAccess` for improved access control. - Consolidated access checks into a single `checkApiKeyAccess` function, enhancing code readability and maintainability. - Streamlined route definitions for creating, listing, retrieving, and deleting API keys. * fix: Add permission handling for REMOTE_AGENT resource type * feat: Enhance permission handling for REMOTE_AGENT resources - Updated the deleteAgent and deleteUserAgents functions to handle permissions for both AGENT and REMOTE_AGENT resource types. - Introduced new functions to enrich REMOTE_AGENT principals and backfill permissions for AGENT owners. - Modified createAgentHandler and duplicateAgentHandler to grant permissions for REMOTE_AGENT alongside AGENT. - Added utility functions for retrieving effective permissions for REMOTE_AGENT resources, ensuring consistent access control across the application. * refactor: Rename and update roles for remote agent access - Changed role name from API User to Editor in translation files for clarity. - Updated default editor role ID from REMOTE_AGENT_USER to REMOTE_AGENT_EDITOR in resource configurations. - Adjusted role localization to reflect the new Editor role. - Modified access permissions to align with the updated role definitions across the application. * feat: Introduce remote agent permissions and update access handling - Added support for REMOTE_AGENTS in permission schemas, including use, create, share, and share_public permissions. - Updated the interface configuration to include remote agent settings. - Modified middleware and API key access checks to align with the new remote agent permission structure. - Enhanced role defaults to incorporate remote agent permissions, ensuring consistent access control across the application. * refactor: Update AgentApiKeys component and permissions handling - Refactored the AgentApiKeys component to improve structure and readability, including the introduction of ApiKeysContent for better separation of concerns. - Updated CreateKeyDialog to accept an onKeyCreated callback, enhancing its functionality. - Adjusted permission checks in Data component to use REMOTE_AGENTS and USE permissions, aligning with recent permission schema changes. - Enhanced loading state handling and dialog management for a smoother user experience. * refactor: Update remote agent access checks in API routes - Replaced existing access checks with `generateCheckAccess` for remote agents in the API keys and agents routes. - Introduced specific permission checks for creating, listing, retrieving, and deleting API keys, enhancing access control. - Improved code structure by consolidating permission handling for remote agents across multiple routes. * fix: Correct query parameters in ApiKeysContent component - Updated the useGetAgentApiKeysQuery call to include an object for the enabled parameter, ensuring proper functionality when the component is open. - This change improves the handling of API key retrieval based on the component's open state. * feat: Implement remote agents permissions and update API routes - Added new API route for updating remote agents permissions, enhancing role management capabilities. - Introduced remote agents permissions handling in the AgentApiKeys component, including a dedicated settings dialog. - Updated localization files to include new remote agents permission labels for better user experience. - Refactored data provider to support remote agents permissions updates, ensuring consistent access control across the application. * feat: Add remote agents permissions to role schema and interface - Introduced new permissions for REMOTE_AGENTS in the role schema, including USE, CREATE, SHARE, and SHARE_PUBLIC. - Updated the IRole interface to reflect the new remote agents permissions structure, enhancing role management capabilities. * feat: Add remote agents settings button to API keys dialog * feat: Update AgentFooter to include remote agent sharing permissions - Refactored access checks to incorporate permissions for sharing remote agents. - Enhanced conditional rendering logic to allow sharing by users with remote agent permissions. - Improved loading state handling for remote agent permissions, ensuring a smoother user experience. * refactor: Update API key creation access check and localization strings - Replaced the access check for creating API keys to use the existing remote agents access check. - Updated localization strings to correct the descriptions for remote agent permissions, ensuring clarity in user interface. * fix: resource permission mapping to include remote agents - Changed the resourceToPermissionMap to use a Partial<Record> for better flexibility. - Added mapping for REMOTE_AGENT permissions, enhancing the sharing capabilities for remote agents. * feat: Implement remote access checks for agent models - Enhanced ListModelsController and GetModelController to include checks for user permissions on remote agents. - Integrated findAccessibleResources to filter agents based on VIEW permission for REMOTE_AGENT. - Updated response handling to ensure users can only access agents they have permissions for, improving security and access control. * fix: Update user parameter type in processUserPlaceholders function - Changed the user parameter type in the processUserPlaceholders function from Partial<Partial<IUser>> to Partial<IUser> for improved type clarity and consistency. * refactor: Simplify integration test structure by removing conditional describe - Replaced conditional describeWithApiKey with a standard describe for all integration tests in responses.spec.js. - This change enhances test clarity and ensures all tests are executed consistently, regardless of the SKIP_INTEGRATION_TESTS flag. * test: Update AgentFooter tests to reflect new grant access dialog ID - Changed test IDs for the grant access dialog in AgentFooter tests to include the resource type, ensuring accurate identification in the test cases. - This update improves test clarity and aligns with recent changes in the component's implementation. * test: Enhance integration tests for Open Responses API - Updated integration tests in responses.spec.js to utilize an authRequest helper for consistent authorization handling across all test cases. - Introduced a test user and API key creation to improve test setup and ensure proper permission checks for remote agents. - Added checks for existing access roles and created necessary roles if they do not exist, enhancing test reliability and coverage. * feat: Extend accessRole schema to include remoteAgent resource type - Updated the accessRole schema to add 'remoteAgent' to the resourceType enum, enhancing the flexibility of role assignments and permissions management. * test: refactored test setup to create a minimal Express app for responses routes, enhancing test structure and maintainability. * test: Enhance abort.spec.js by mocking additional modules for improved test isolation - Updated the test setup in abort.spec.js to include actual implementations of '@librechat/data-schemas' and '@librechat/api' while maintaining mock functionality. - This change improves test reliability and ensures that the tests are more representative of the actual module behavior. * refactor: Update conversation ID generation to use UUID - Replaced the nanoid with uuidv4 for generating conversation IDs in the createResponse function, enhancing uniqueness and consistency in ID generation. * test: Add remote agent access roles to AccessRole model tests - Included additional access roles for remote agents (REMOTE_AGENT_EDITOR, REMOTE_AGENT_OWNER, REMOTE_AGENT_VIEWER) in the AccessRole model tests to ensure comprehensive coverage of role assignments and permissions management. * chore: Add deletion of user agent API keys in user deletion process - Updated the user deletion process in UserController and delete-user.js to include the removal of user agent API keys, ensuring comprehensive cleanup of user data upon account deletion. * test: Add remote agents permissions to permissions.spec.ts - Enhanced the permissions tests by including comprehensive permission settings for remote agents across various scenarios, ensuring accurate validation of access controls for remote agent roles. * chore: Update remote agents translations for clarity and consistency - Removed outdated remote agents translation entries and added revised entries to improve clarity on API key creation and sharing permissions for remote agents. This enhances user understanding of the available functionalities. * feat: Add indexing and TTL for agent API keys - Introduced an index on the `key` field for improved query performance. - Added a TTL index on the `expiresAt` field to enable automatic cleanup of expired API keys, ensuring efficient management of stored keys. * chore: Update API route documentation for clarity - Revised comments in the agents route file to clarify the handling of API key authentication. - Removed outdated endpoint listings to streamline the documentation and focus on current functionality. --------- Co-authored-by: Max Sanna <max@maxsanna.com>	2026-01-28 17:44:33 -05:00
Danny Avila	75c02a1a18	🗂️ feat: Better Persistence for Code Execution Files Between Sessions (#11362) ... * refactor: process code output files for re-use (WIP) * feat: file attachment handling with additional metadata for downloads * refactor: Update directory path logic for local file saving based on basePath * refactor: file attachment handling to support TFile type and improve data merging logic * feat: thread filtering of code-generated files - Introduced parentMessageId parameter in addedConvo and initialize functions to enhance thread management. - Updated related methods to utilize parentMessageId for retrieving messages and filtering code-generated files by conversation threads. - Enhanced type definitions to include parentMessageId in relevant interfaces for better clarity and usage. * chore: imports/params ordering * feat: update file model to use messageId for filtering and processing - Changed references from 'message' to 'messageId' in file-related methods for consistency. - Added messageId field to the file schema and updated related types. - Enhanced file processing logic to accommodate the new messageId structure. * feat: enhance file retrieval methods to support user-uploaded execute_code files - Added a new method `getUserCodeFiles` to retrieve user-uploaded execute_code files, excluding code-generated files. - Updated existing file retrieval methods to improve filtering logic and handle edge cases. - Enhanced thread data extraction to collect both message IDs and file IDs efficiently. - Integrated `getUserCodeFiles` into relevant endpoints for better file management in conversations. * chore: update @librechat/agents package version to 3.0.78 in package-lock.json and related package.json files * refactor: file processing and retrieval logic - Added a fallback mechanism for download URLs when files exceed size limits or cannot be processed locally. - Implemented a deduplication strategy for code-generated files based on conversationId and filename to optimize storage. - Updated file retrieval methods to ensure proper filtering by messageIds, preventing orphaned files from being included. - Introduced comprehensive tests for new thread data extraction functionality, covering edge cases and performance considerations. * fix: improve file retrieval tests and handling of optional properties - Updated tests to safely access optional properties using non-null assertions. - Modified test descriptions for clarity regarding the exclusion of execute_code files. - Ensured that the retrieval logic correctly reflects the expected outcomes for file queries. * test: add comprehensive unit tests for processCodeOutput functionality - Introduced a new test suite for the processCodeOutput function, covering various scenarios including file retrieval, creation, and processing for both image and non-image files. - Implemented mocks for dependencies such as axios, logger, and file models to isolate tests and ensure reliable outcomes. - Validated behavior for existing files, new file creation, and error handling, including size limits and fallback mechanisms. - Enhanced test coverage for metadata handling and usage increment logic, ensuring robust verification of file processing outcomes. * test: enhance file size limit enforcement in processCodeOutput tests - Introduced a configurable file size limit for tests to improve flexibility and coverage. - Mocked the `librechat-data-provider` to allow dynamic adjustment of file size limits during tests. - Updated the file size limit enforcement test to validate behavior when files exceed specified limits, ensuring proper fallback to download URLs. - Reset file size limit after tests to maintain isolation for subsequent test cases.	2026-01-28 17:44:32 -05:00
Danny Avila	7c9c7e530b	⏲️ feat: Defer Loading MCP Tools (#11270) ... * WIP: code ptc * refactor: tool classification and calling logic * 🔧 fix: Update @librechat/agents dependency to version 3.0.68 * chore: import order and correct renamed tool name for tool search * refactor: streamline tool classification logic for local and programmatic tools * feat: add per-tool configuration options for agents, including deferred loading and allowed callers - Introduced `tool_options` in agent forms to manage tool behavior. - Updated tool classification logic to prioritize agent-level configurations. - Enhanced UI components to support tool deferral functionality. - Added localization strings for new tool options and actions. * feat: enhance agent schema with per-tool options for configuration - Added `tool_options` schema to support per-tool configurations, including `defer_loading` and `allowed_callers`. - Updated agent data model to incorporate new tool options, ensuring flexibility in tool behavior management. - Modified type definitions to reflect the new `tool_options` structure for agents. * feat: add tool_options parameter to loadTools and initializeAgent for enhanced agent configuration * chore: update @librechat/agents dependency to version 3.0.71 and enhance agent tool loading logic - Updated the @librechat/agents package to version 3.0.71 across multiple files. - Added support for handling deferred loading of tools in agent initialization and execution processes. - Improved the extraction of discovered tools from message history to optimize tool loading behavior. * chore: update @librechat/agents dependency to version 3.0.72 * chore: update @librechat/agents dependency to version 3.0.75 * refactor: simplify tool defer loading logic in MCPTool component - Removed local state management for deferred tools, relying on form state instead. - Updated related functions to directly use form values for checking and toggling defer loading. - Cleaned up code by eliminating unnecessary optimistic updates and local state dependencies. * chore: remove deprecated localization strings for tool deferral in translation.json - Eliminated unused strings related to deferred loading descriptions in the English translation file. - Streamlined localization to reflect recent changes in tool loading logic. * refactor: improve tool defer loading handling in MCPTool component - Enhanced the logic for managing deferred loading of tools by simplifying the update process for tool options. - Ensured that the state reflects the correct loading behavior based on the new deferred loading conditions. - Cleaned up the code to remove unnecessary complexity in handling tool options. * refactor: update agent mocks in callbacks test to use actual implementations - Modified the agent mocks in the callbacks test to include actual implementations from the @librechat/agents module. - This change enhances the accuracy of the tests by ensuring they reflect the real behavior of the agent functions.	2026-01-28 17:44:30 -05:00
Danny Avila	0b4deac953	🧩 fix: Missing Memory Agent Assignment for Matching IDs (#11514) ... * fix: `useMemory` in AgentClient for PrelimAgent Assignment * Updated the useMemory method in AgentClient to handle prelimAgent assignment based on memory configuration. * Added logic to return early if prelimAgent is undefined, improving flow control. * Introduced comprehensive unit tests to validate behavior for various memory configurations, including scenarios for matching and differing agent IDs, as well as handling of ephemeral agents. * Mocked necessary dependencies in tests to ensure isolation and reliability of the new functionality. * fix: Update temperature handling for Bedrock and Anthropic providers in memory management * fix: Replace hardcoded provider strings with constants in memory agent tests * fix: Replace hardcoded provider string with constant in allowedProviders for AgentClient * fix: memory agent tests to use actual Providers and GraphEvents constants	2026-01-25 12:08:52 -05:00
Danny Avila	cfd5c793a9	🧑‍🏫 fix: Multi-Agent Instructions Handling (#11484) ... * 🧑‍🏫 fix: Multi-Agent Instructions Handling * Refactored AgentClient to streamline the process of building messages by applying shared run context and agent-specific instructions. * Introduced new utility functions in context.ts for extracting MCP server names, fetching MCP instructions, and building combined agent instructions. * Updated the Agent type to make instructions optional, allowing for more flexible agent configurations. * Improved the handling of context application to agents, ensuring that all relevant information is correctly integrated before execution. * chore: Update EphemeralAgent Type in Context * Enhanced the context.ts file by importing the TEphemeralAgent type from librechat-data-provider. * Updated the applyContextToAgent function to use TEphemeralAgent for the ephemeralAgent parameter, improving type safety and clarity in agent context handling. * ci: Update Agent Instructions in Tests for Clarity * Revised test assertions in AgentClient to clarify the source of agent instructions, ensuring they are explicitly referenced as coming from agent configuration rather than build options. * Updated comments in tests to enhance understanding of the expected behavior regarding base agent instructions and their handling in various scenarios. * ci: Unit Tests for Agent Context Utilities * Introduced comprehensive unit tests for agent context utilities, including functions for extracting MCP servers, fetching MCP instructions, and building agent instructions. * Enhanced test coverage to ensure correct behavior across various scenarios, including handling of empty tools, mixed tool types, and error cases. * Improved type definitions for AgentWithTools to clarify the structure and requirements for agent context operations.	2026-01-22 19:36:06 -05:00
Danny Avila	11210d8b98	🏁 fix: Message Race Condition if Cancelled Early (#11462) ... * 🔧 fix: Prevent race conditions in message saving during abort scenarios * Added logic to save partial responses before returning from the abort endpoint to ensure parentMessageId exists in the database. * Updated the ResumableAgentController to save response messages before emitting final events, preventing orphaned parentMessageIds. * Enhanced handling of unfinished responses to improve stability and data integrity in agent interactions. * 🔧 fix: logging and job replacement handling in ResumableAgentController * Added detailed logging for job creation and final event emissions to improve traceability. * Implemented logic to check for job replacement before emitting events, preventing stale requests from affecting newer jobs. * Updated abort handling to log additional context about the abort result, enhancing debugging capabilities. * refactor: abort handling and token spending logic in AgentStream * Added authorization check for abort attempts to prevent unauthorized access. * Improved response message saving logic to ensure valid message IDs are stored. * Implemented token spending for aborted requests to prevent double-spending across parallel agents. * Enhanced logging for better traceability of token spending operations during abort scenarios. * refactor: remove TODO comments for token spending in abort handling * Removed outdated TODO comments regarding token spending for aborted requests in the abort endpoint. * This change streamlines the code and clarifies the current implementation status. * ✅ test: Add comprehensive tests for job replacement and abort handling * Introduced unit tests for job replacement detection in ResumableAgentController, covering job creation timestamp tracking, stale job detection, and response message saving order. * Added tests for the agent abort endpoint, ensuring proper authorization checks, early abort handling, and partial response saving. * Enhanced logging and error handling in tests to improve traceability and robustness of the abort functionality.	2026-01-21 13:57:12 -05:00
Danny Avila	36c5a88c4e	💰 fix: Multi-Agent Token Spending & Prevent Double-Spend (#11433) ... * fix: Token Spending Logic for Multi-Agents on Abort Scenarios * Implemented logic to skip token spending if a conversation is aborted, preventing double-spending. * Introduced `spendCollectedUsage` function to handle token spending for multiple models during aborts, ensuring accurate accounting for parallel agents. * Updated `GenerationJobManager` to store and retrieve collected usage data for improved abort handling. * Added comprehensive tests for the new functionality, covering various scenarios including cache token handling and parallel agent usage. * fix: Memory Context Handling for Multi-Agents * Refactored `buildMessages` method to pass memory context to parallel agents, ensuring they share the same user context. * Improved handling of memory context when no existing instructions are present for parallel agents. * Added comprehensive tests to verify memory context propagation and behavior under various scenarios, including cases with no memory available and empty agent configurations. * Enhanced logging for better traceability of memory context additions to agents. * chore: Memory Context Documentation for Parallel Agents * Updated documentation in the `AgentClient` class to clarify the in-place mutation of agentConfig objects when passing memory context to parallel agents. * Added notes on the implications of mutating objects directly to ensure all parallel agents receive the correct memory context before execution. * chore: UsageMetadata Interface docs for Token Spending * Expanded the UsageMetadata interface to support both OpenAI and Anthropic cache token formats. * Added detailed documentation for cache token properties, including mutually exclusive fields for different model types. * Improved clarity on how to access cache token details for accurate token spending tracking. * fix: Enhance Token Spending Logic in Abort Middleware * Refactored `spendCollectedUsage` function to utilize Promise.all for concurrent token spending, improving performance and ensuring all operations complete before clearing the collectedUsage array. * Added documentation to clarify the importance of clearing the collectedUsage array to prevent double-spending in abort scenarios. * Updated tests to verify the correct behavior of the spending logic and the clearing of the array after spending operations.	2026-01-20 14:43:19 -05:00
David Newman	a95fea19bb	🌅 fix: Agent Avatar S3 URL Refresh Pagination and Persistence (#11323) ... * Refresh all S3 avatars for this user's accessible agent set, not the first page * Cleaner debug messages * Log errors as errors * refactor: avatar refresh logic to process agents in batches and improve error handling. Introduced new utility functions for refreshing S3 avatars and updating agent records. Updated tests to cover various scenarios including cache hits, user ownership checks, and error handling. Added constants for maximum refresh limits. * refactor: update avatar refresh logic to allow users with VIEW access to refresh avatars for all accessible agents. Removed checks for agent ownership and author presence, and updated related tests to reflect new behavior. * chore: Remove YouTube toolkit due to #11331 --------- Co-authored-by: Danny Avila <danny@librechat.ai>	2026-01-13 13:01:11 -05:00
Danny Avila	2a50c372ef	🪙 refactor: Collected Usage & Anthropic Prompt Caching (#11319) ... * 🔧 refactor: Improve token calculation in AgentClient.recordCollectedUsage - Updated the token calculation logic to sum output tokens directly from all entries, addressing issues with negative values in parallel execution scenarios. - Added comments for clarity on the usage of input tokens and output tokens. - Introduced a new test file for comprehensive testing of the recordCollectedUsage function, covering various execution scenarios including sequential and parallel processing, cache token handling, and model fallback logic. * 🔧 refactor: Anthropic `promptCache` handling in LLM configuration * 🔧 test: Add comprehensive test for cache token handling in recordCollectedUsage - Introduced a new test case to validate the handling of cache tokens across multiple tool calls in the recordCollectedUsage function. - Ensured correct calculations for input and output tokens, including scenarios with cache creation and reading. - Verified the expected interactions with token spending methods to enhance the robustness of the token management logic.	2026-01-12 23:02:08 -05:00
Danny Avila	cdffdd2926	🏞️ fix: Gemini Image Filenames and Add Tool Cache Safety (#11306) ... * 🔧 fix: Handle undefined tool definitions in agent and assistant creation (#11295) * Updated the tool fetching logic in createAgentHandler, createAssistant, and patchAssistant functions to use nullish coalescing, ensuring that an empty object is returned if no tools are available. This change improves robustness against undefined values in tool definitions across multiple controller files. * Adjusted the ToolService to maintain consistency in tool definition handling. * 🔧 fix: Update filename generation in createToolEndCallback function * Modified the filename generation logic to remove the tool_call_id from the filename, simplifying the naming convention for saved images. This change enhances clarity and consistency in the generated filenames.	2026-01-12 09:01:23 -05:00
Scott Finlay	083251508e	⏭️ fix: Skip Title Generation for Temporary Chats (#11282) ... * Not generating titles for temporary chats * Minor linter fix to prettify debug line * Adding a test for skipping title generation for temporary chats	2026-01-09 14:34:30 -05:00
Danny Avila	24e8a258cd	🔧 fix: Clean empty strings from model_parameters for Agents/OpenAI (#11248)	2026-01-07 11:26:53 -05:00
Dustin Healy	b5aa38ff33	💾 feat: Custom Endpoint Support for Memory LLM Config (#11214) ... * feat: add support for designating custom endpoints to use with memory tool * test: add tests for header resolution in processMemory * chore: address comments	2026-01-06 11:25:07 -05:00
Danny Avila	d21dfba2ac	🏞️ fix: Image Preview Refactor with Accessibility Enhancements (#11217) ... * 🔧 fix: Prevent race condition by saving user messages before final event in ResumableAgentController - Updated the ResumableAgentController to save user messages prior to sending the final event. This change addresses a potential race condition where the client might refetch data before the database is updated. - Removed redundant message saving logic that was previously located after the final event handling, ensuring a more reliable message processing flow. * style: improve image preview dialogs with ChatGPT-like UX and accessibility Refactored image preview dialogs (DialogImage and ImagePreview) to provide a cleaner, more intuitive user experience similar to ChatGPT's implementation. ## DialogImage.tsx (generated images) - Replaced OGDialog/OGDialogContent with direct Radix Dialog primitives for finer control over behavior - Full-screen dark overlay (bg-black/90) that closes on click outside image - Restructured component so all interactive elements (close, download, details panel buttons) are inside DialogPrimitive.Content for proper focus trap and keyboard navigation - Added onOpenAutoFocus to focus close button when dialog opens - Added onCloseAutoFocus to return focus to trigger element on close - Added triggerRef prop to enable focus restoration - Removed animate-in/animate-out classes that caused stuttering on open - Changed transition-all to transition-[margin] to prevent animation jank - Added proper TypeScript types for component props ## ImagePreview.tsx (uploaded file thumbnails) - Same Radix Dialog primitive refactor for consistent behavior - Click-outside-to-close functionality - Proper focus management with closeButtonRef and triggerRef - Made button the container element to prevent focus ring clipping - Added focus-visible ring styling for keyboard navigation visibility ## Image.tsx (image display component) - Restructured so button is the outer container instead of being nested inside a div with overflow-hidden (which was clipping focus ring) - Added visible focus-visible:ring styling with ring-offset - Added aria-haspopup="dialog" for screen reader context - Added triggerRef and passed to DialogImage for focus restoration ## Accessibility improvements - Keyboard navigation now works properly (Tab cycles through buttons) - Escape key closes dialog (or resets zoom if zoomed in) - Focus is trapped within dialog when open - Focus returns to trigger element when dialog closes - Visible focus indicators on image buttons when focused via keyboard - Proper ARIA attributes (aria-label, aria-haspopup, aria-hidden) ## UX improvements - Click anywhere outside the image to close (not just specific regions) - No more weird scroll/navigation issues - Instant dialog open without stuttering animations - Clean, minimal overlay without container/header chrome * refactor: Improve click handling in image preview dialogs Updated the click handling logic in ImagePreview and DialogImage components to ensure that the dialog only closes when clicking directly on the overlay or content background, enhancing user experience by preventing unintended closures when interacting with child elements. Additionally, clarified comments to reflect the new behavior. * chore: import order	2026-01-05 16:31:35 -05:00
Danny Avila	e452c1a8d9	🔀 refactor: Conditional Mapping Support for Multi-Convo (Parallel) Messages (#11180) ... * refactor: message handling with addedConvo support - Introduced `addedConvo` property in message schema to track conversation additions. - Updated `BaseClient` to conditionally include `addedConvo` in saved messages based on request body. - Enhanced `AgentClient` to apply mapping logic for messages with the `addedConvo` flag, improving message processing. - Updated documentation to reflect new optional `mapCondition` parameter for message mapping functions, enhancing flexibility in message handling. * test: Add comprehensive tests for getMessagesForConversation method - Introduced a suite of tests for the `getMessagesForConversation` method in the `AgentClient` to validate mapping logic based on `mapMethod` and `mapCondition`. - Covered various scenarios including applying mapping to all messages, conditional mapping based on `addedConvo`, handling of empty messages, and preserving message order. - Ensured robust handling of edge cases such as null `mapMethod` and undefined `mapCondition`, enhancing overall test coverage and reliability of message processing.	2026-01-02 19:42:54 -05:00
Danny Avila	791dab8f20	🫱🏼‍🫲🏽 refactor: Improve Agent Handoffs (#11172) ... * fix: Tool Resources Dropped between Agent Handoffs * fix: agent deletion process to remove handoff edges - Added logic to the `deleteAgent` function to remove references to the deleted agent from other agents' handoff edges. - Implemented error handling to log any issues encountered during the edge removal process. - Introduced a new test case to verify that handoff edges are correctly removed when an agent is deleted, ensuring data integrity across agent relationships. * fix: Improve agent loading process by handling orphaned references - Added logic to track and log agents that fail to load during initialization, preventing errors from interrupting the process. - Introduced a Set to store skipped agent IDs and updated edge filtering to exclude these orphaned references, enhancing data integrity in agent relationships. * chore: Update @librechat/agents to version 3.0.62 * feat: Enhance agent initialization with edge collection and filtering - Introduced new functions for edge collection and filtering orphaned edges, improving the agent loading process. - Refactored the `initializeClient` function to utilize breadth-first search (BFS) for discovering connected agents, enabling transitive handoffs. - Added a new module for edge-related utilities, including deduplication and participant extraction, to streamline edge management. - Updated the agent configuration handling to ensure proper edge processing and integrity during initialization. * refactor: primary agent ID selection for multi-agent conversations - Added a new function `findPrimaryAgentId` to determine the primary agent ID from a set of agent IDs based on suffix rules. - Updated `createMultiAgentMapper` to filter messages by primary agent for parallel agents and handle handoffs appropriately. - Enhanced message processing logic to ensure correct inclusion of agent content based on group and agent ID presence. - Improved documentation to clarify the distinctions between parallel execution and handoff scenarios. * feat: Implement primary agent ID selection for multi-agent content filtering * chore: Update @librechat/agents to version 3.0.63 in package.json and package-lock.json * chore: Update @librechat/agents to version 3.0.64 in package.json and package-lock.json * chore: Update @librechat/agents to version 3.0.65 in package.json and package-lock.json * feat: Add optional agent name to run creation for improved identification * chore: Update @librechat/agents to version 3.0.66 in package.json and package-lock.json * test: Add unit tests for edge utilities including key generation, participant extraction, and orphaned edge filtering - Implemented tests for `getEdgeKey`, `getEdgeParticipants`, `filterOrphanedEdges`, and `createEdgeCollector` functions. - Ensured comprehensive coverage for various edge cases, including handling of arrays and default values. - Verified correct behavior of edge filtering based on skipped agents and deduplication of edges.	2026-01-01 16:02:51 -05:00
Danny Avila	a7aa4dc91b	🚦 refactor: Concurrent Request Limiter for Resumable Streams (#11167) ... * feat: Implement concurrent request handling in ResumableAgentController - Introduced a new concurrency management system by adding `checkAndIncrementPendingRequest` and `decrementPendingRequest` functions to manage user request limits. - Replaced the previous `concurrentLimiter` middleware with a more integrated approach directly within the `ResumableAgentController`. - Enhanced violation logging and request denial for users exceeding their concurrent request limits. - Removed the obsolete `concurrentLimiter` middleware file and updated related imports across the codebase. * refactor: Simplify error handling in ResumableAgentController and enhance SSE error management - Removed the `denyRequest` middleware and replaced it with a direct response for concurrent request violations in the ResumableAgentController. - Improved error handling in the `useResumableSSE` hook to differentiate between network errors and other error types, ensuring more informative error responses are sent to the error handler. * test: Enhance MCP server configuration tests with new mocks and improved logging - Added mocks for MCP server registry and manager in `index.spec.js` to facilitate testing of server configurations. - Updated debug logging in `initializeMCPs.spec.js` to simplify messages regarding server configurations, improving clarity in test outputs. * refactor: Enhance concurrency management in request handling - Updated `checkAndIncrementPendingRequest` and `decrementPendingRequest` functions to utilize Redis for atomic request counting, improving concurrency control. - Added error handling for Redis operations to ensure requests can proceed even during Redis failures. - Streamlined cache key generation for both Redis and in-memory fallback, enhancing clarity and performance in managing pending requests. - Improved comments and documentation for better understanding of the concurrency logic and its implications. * refactor: Improve atomicity in Redis operations for pending request management - Updated `checkAndIncrementPendingRequest` to utilize Redis pipelines for atomic INCR and EXPIRE operations, enhancing concurrency control and preventing edge cases. - Added error handling for pipeline execution failures to ensure robust request management. - Improved comments for clarity on the concurrency logic and its implications.	2026-01-01 11:10:56 -05:00
Joseph Licata	90c63a56f3	🤖 feat: Anthropic Vertex AI Support (#10780) ... * feat: Add Anthropic Vertex AI Support * Remove changes from the unused AnthropicClient class * Add @anthropic-ai/vertex-sdk as peerDependency to packages/api * Clean up Vertex AI credentials handling * feat: websearch header * feat: add prompt caching support for Anthropic Vertex AI - Support both OpenAI format (input_token_details) and Anthropic format (cache_*_input_tokens) for token usage tracking - Filter out unsupported anthropic-beta header values for Vertex AI (prompt-caching, max-tokens, output-128k, token-efficient-tools, context-1m) * ✨ feat: Add Vertex AI support for Anthropic models - Introduced configuration options for running Anthropic models via Google Cloud Vertex AI in the YAML file. - Updated ModelService to prioritize Vertex AI models from the configuration. - Enhanced endpoint configuration to enable Anthropic endpoint when Vertex AI is configured. - Implemented validation and processing for Vertex AI credentials and options. - Added new types and schemas for Vertex AI configuration in the data provider. - Created utility functions for loading and validating Vertex AI credentials and configurations. - Updated various services to integrate Vertex AI options into the Anthropic client setup. * 🔒 fix: Improve error handling for missing credentials in LLM configuration - Updated the `getLLMConfig` function to throw a specific error message when credentials are missing, enhancing clarity for users. - Refactored the `parseCredentials` function to handle plain API key strings more gracefully, returning them wrapped in an object if JSON parsing fails. * 🔧 refactor: Clean up code formatting and improve readability - Updated the `setOptions` method in `AgentClient` to use a parameter name for clarity. - Refactored error handling in `loadDefaultModels` for better readability. - Removed unnecessary blank lines in `initialize.js`, `endpoints.ts`, and `vertex.ts` to streamline the code. - Enhanced formatting in `validateVertexConfig` for improved consistency and clarity. * 🔧 refactor: Enhance Vertex AI Model Configuration and Integration - Updated the YAML configuration to support visible model names and deployment mappings for Vertex AI. - Refactored the `loadDefaultModels` function to utilize the new model name structure. - Improved the `initializeClient` function to pass full Vertex AI configuration, including model mappings. - Added utility functions to map visible model names to deployment names, enhancing the integration of Vertex AI models. - Updated various services and types to accommodate the new model configuration schema and improve overall clarity and functionality. * 🔧 chore: Update @anthropic-ai/sdk dependency to version 0.71.0 in package.json and package-lock.json * refactor: Change clientOptions declaration from let to const in initialize.ts for better code clarity * chore: repository cleanup * 🌊 feat: Resumable LLM Streams with Horizontal Scaling (#10926) * ✨ feat: Implement Resumable Generation Jobs with SSE Support - Introduced GenerationJobManager to handle resumable LLM generation jobs independently of HTTP connections. - Added support for subscribing to ongoing generation jobs via SSE, allowing clients to reconnect and receive updates without losing progress. - Enhanced existing agent controllers and routes to integrate resumable functionality, including job creation, completion, and error handling. - Updated client-side hooks to manage adaptive SSE streams, switching between standard and resumable modes based on user settings. - Added UI components and settings for enabling/disabling resumable streams, improving user experience during unstable connections. * WIP: resuming * WIP: resumable stream * feat: Enhance Stream Management with Abort Functionality - Updated the abort endpoint to support aborting ongoing generation streams using either streamId or conversationId. - Introduced a new mutation hook `useAbortStreamMutation` for client-side integration. - Added `useStreamStatus` query to monitor stream status and facilitate resuming conversations. - Enhanced `useChatHelpers` to incorporate abort functionality when stopping generation. - Improved `useResumableSSE` to handle stream errors and token refresh seamlessly. - Updated `useResumeOnLoad` to check for active streams and resume conversations appropriately. * fix: Update query parameter handling in useChatHelpers - Refactored the logic for determining the query parameter used in fetching messages to prioritize paramId from the URL, falling back to conversationId only if paramId is not available. This change ensures consistency with the ChatView component's expectations. * fix: improve syncing when switching conversations * fix: Prevent memory leaks in useResumableSSE by clearing handler maps on stream completion and cleanup * fix: Improve content type mismatch handling in useStepHandler - Enhanced the condition for detecting content type mismatches to include additional checks, ensuring more robust validation of content types before processing updates. * fix: Allow dynamic content creation in useChatFunctions - Updated the initial response handling to avoid pre-initializing content types, enabling dynamic creation of content parts based on incoming delta events. This change supports various content types such as think and text. * fix: Refine response message handling in useStepHandler - Updated logic to determine the appropriate response message based on the last message's origin, ensuring correct message replacement or appending based on user interaction. This change enhances the accuracy of message updates in the chat flow. * refactor: Enhance GenerationJobManager with In-Memory Implementations - Introduced InMemoryJobStore, InMemoryEventTransport, and InMemoryContentState for improved job management and event handling. - Updated GenerationJobManager to utilize these new implementations, allowing for better separation of concerns and easier maintenance. - Enhanced job metadata handling to support user messages and response IDs for resumable functionality. - Improved cleanup and state management processes to prevent memory leaks and ensure efficient resource usage. * refactor: Enhance GenerationJobManager with improved subscriber handling - Updated RuntimeJobState to include allSubscribersLeftHandlers for managing client disconnections without affecting subscriber count. - Refined createJob and subscribe methods to ensure generation starts only when the first real client connects. - Added detailed documentation for methods and properties to clarify the synchronization of job generation with client readiness. - Improved logging for subscriber checks and event handling to facilitate debugging and monitoring. * chore: Adjust timeout for subscriber readiness in ResumableAgentController - Reduced the timeout duration from 5000ms to 2500ms in the startGeneration function to improve responsiveness when waiting for subscriber readiness. This change aims to enhance the efficiency of the agent's background generation process. * refactor: Update GenerationJobManager documentation and structure - Enhanced the documentation for GenerationJobManager to clarify the architecture and pluggable service design. - Updated comments to reflect the potential for Redis integration and the need for async refactoring. - Improved the structure of the GenerationJob facade to emphasize the unified API while allowing for implementation swapping without affecting consumer code. * refactor: Convert GenerationJobManager methods to async for improved performance - Updated methods in GenerationJobManager and InMemoryJobStore to be asynchronous, enhancing the handling of job creation, retrieval, and management. - Adjusted the ResumableAgentController and related routes to await job operations, ensuring proper flow and error handling. - Increased timeout duration in ResumableAgentController's startGeneration function to 3500ms for better subscriber readiness management. * refactor: Simplify initial response handling in useChatFunctions - Removed unnecessary pre-initialization of content types in the initial response, allowing for dynamic content creation based on incoming delta events. This change enhances flexibility in handling various content types in the chat flow. * refactor: Clarify content handling logic in useStepHandler - Updated comments to better explain the handling of initialContent and existingContent in edit and resume scenarios. - Simplified the logic for merging content, ensuring that initialContent is used directly when available, improving clarity and maintainability. * refactor: Improve message handling logic in useStepHandler - Enhanced the logic for managing messages in multi-tab scenarios, ensuring that the most up-to-date message history is utilized. - Removed existing response placeholders and ensured user messages are included, improving the accuracy of message updates in the chat flow. * fix: remove unnecessary content length logging in the chat stream response, simplifying the debug message while retaining essential information about run steps. This change enhances clarity in logging without losing critical context. * refactor: Integrate streamId handling for improved resumable functionality for attachments - Added streamId parameter to various functions to support resumable mode in tool loading and memory processing. - Updated related methods to ensure proper handling of attachments and responses based on the presence of streamId, enhancing the overall streaming experience. - Improved logging and attachment management to accommodate both standard and resumable modes. * refactor: Streamline abort handling and integrate GenerationJobManager for improved job management - Removed the abortControllers middleware and integrated abort handling directly into GenerationJobManager. - Updated abortMessage function to utilize GenerationJobManager for aborting jobs by conversation ID, enhancing clarity and efficiency. - Simplified cleanup processes and improved error handling during abort operations. - Enhanced metadata management for jobs, including endpoint and model information, to facilitate better tracking and resource management. * refactor: Unify streamId and conversationId handling for improved job management - Updated ResumableAgentController and AgentController to generate conversationId upfront, ensuring it matches streamId for consistency. - Simplified job creation and metadata management by removing redundant conversationId updates from callbacks. - Refactored abortMiddleware and related methods to utilize the unified streamId/conversationId approach, enhancing clarity in job handling. - Removed deprecated methods from GenerationJobManager and InMemoryJobStore, streamlining the codebase and improving maintainability. * refactor: Enhance resumable SSE handling with improved UI state management and error recovery - Added UI state restoration on successful SSE connection to indicate ongoing submission. - Implemented detailed error handling for network failures, including retry logic with exponential backoff. - Introduced abort event handling to reset UI state on intentional stream closure. - Enhanced debugging capabilities for testing reconnection and clean close scenarios. - Updated generation function to retry on network errors, improving resilience during submission processes. * refactor: Consolidate content state management into IJobStore for improved job handling - Removed InMemoryContentState and integrated its functionality into InMemoryJobStore, streamlining content state management. - Updated GenerationJobManager to utilize jobStore for content state operations, enhancing clarity and reducing redundancy. - Introduced RedisJobStore for horizontal scaling, allowing for efficient job management and content reconstruction from chunks. - Updated IJobStore interface to reflect changes in content state handling, ensuring consistency across implementations. * feat: Introduce Redis-backed stream services for enhanced job management - Added createStreamServices function to configure job store and event transport, supporting both Redis and in-memory options. - Updated GenerationJobManager to allow configuration with custom job stores and event transports, improving flexibility for different deployment scenarios. - Refactored IJobStore interface to support asynchronous content retrieval, ensuring compatibility with Redis implementations. - Implemented RedisEventTransport for real-time event delivery across instances, enhancing scalability and responsiveness. - Updated InMemoryJobStore to align with new async patterns for content and run step retrieval, ensuring consistent behavior across storage options. * refactor: Remove redundant debug logging in GenerationJobManager and RedisEventTransport - Eliminated unnecessary debug statements in GenerationJobManager related to subscriber actions and job updates, enhancing log clarity. - Removed debug logging in RedisEventTransport for subscription and subscriber disconnection events, streamlining the logging output. - Cleaned up debug messages in RedisJobStore to focus on essential information, improving overall logging efficiency. * refactor: Enhance job state management and TTL configuration in RedisJobStore - Updated the RedisJobStore to allow customizable TTL values for job states, improving flexibility in job management. - Refactored the handling of job expiration and cleanup processes to align with new TTL configurations. - Simplified the response structure in the chat status endpoint by consolidating state retrieval, enhancing clarity and performance. - Improved comments and documentation for better understanding of the changes made. * refactor: cleanupOnComplete option to GenerationJobManager for flexible resource management - Introduced a new configuration option, cleanupOnComplete, allowing immediate cleanup of event transport and job resources upon job completion. - Updated completeJob and abortJob methods to respect the cleanupOnComplete setting, enhancing memory management. - Improved cleanup logic in the cleanup method to handle orphaned resources effectively. - Enhanced documentation and comments for better clarity on the new functionality. * refactor: Update TTL configuration for completed jobs in InMemoryJobStore - Changed the TTL for completed jobs from 5 minutes to 0, allowing for immediate cleanup. - Enhanced cleanup logic to respect the new TTL setting, improving resource management. - Updated comments for clarity on the behavior of the TTL configuration. * refactor: Enhance RedisJobStore with local graph caching for improved performance - Introduced a local cache for graph references using WeakRef to optimize reconnects for the same instance. - Updated job deletion and cleanup methods to manage the local cache effectively, ensuring stale entries are removed. - Enhanced content retrieval methods to prioritize local cache access, reducing Redis round-trips for same-instance reconnects. - Improved documentation and comments for clarity on the caching mechanism and its benefits. * feat: Add integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore, add Redis Cluster support - Introduced comprehensive integration tests for GenerationJobManager, covering both in-memory and Redis modes to ensure consistent job management and event handling. - Added tests for RedisEventTransport to validate pub/sub functionality, including cross-instance event delivery and error handling. - Implemented integration tests for RedisJobStore, focusing on multi-instance job access, content reconstruction from chunks, and consumer group behavior. - Enhanced test setup and teardown processes to ensure a clean environment for each test run, improving reliability and maintainability. * fix: Improve error handling in GenerationJobManager for allSubscribersLeft handlers - Enhanced the error handling logic when retrieving content parts for allSubscribersLeft handlers, ensuring that any failures are logged appropriately. - Updated the promise chain to catch errors from getContentParts, improving robustness and clarity in error reporting. * ci: Improve Redis client disconnection handling in integration tests - Updated the afterAll cleanup logic in integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore to use `quit()` for graceful disconnection of the Redis client. - Added fallback to `disconnect()` if `quit()` fails, enhancing robustness in resource management during test teardown. - Improved comments for clarity on the disconnection process and error handling. * refactor: Enhance GenerationJobManager and event transports for improved resource management - Updated GenerationJobManager to prevent immediate cleanup of eventTransport upon job completion, allowing final events to transmit fully before cleanup. - Added orphaned stream cleanup logic in GenerationJobManager to handle streams without corresponding jobs. - Introduced getTrackedStreamIds method in both InMemoryEventTransport and RedisEventTransport for better management of orphaned streams. - Improved comments for clarity on resource management and cleanup processes. * refactor: Update GenerationJobManager and ResumableAgentController for improved event handling - Modified GenerationJobManager to resolve readyPromise immediately, eliminating startup latency and allowing early event buffering for late subscribers. - Enhanced event handling logic to replay buffered events when the first subscriber connects, ensuring no events are lost due to race conditions. - Updated comments for clarity on the new event synchronization mechanism and its benefits in both Redis and in-memory modes. * fix: Update cache integration test command for stream to ensure proper execution - Modified the test command for cache integration related to streams by adding the --forceExit flag to prevent hanging tests. - This change enhances the reliability of the test suite by ensuring all tests complete as expected. * feat: Add active job management for user and show progress in conversation list - Implemented a new endpoint to retrieve active generation job IDs for the current user, enhancing user experience by allowing visibility of ongoing tasks. - Integrated active job tracking in the Conversations component, displaying generation indicators based on active jobs. - Optimized job management in the GenerationJobManager and InMemoryJobStore to support user-specific job queries, ensuring efficient resource handling and cleanup. - Updated relevant components and hooks to utilize the new active jobs feature, improving overall application responsiveness and user feedback. * feat: Implement active job tracking by user in RedisJobStore - Added functionality to retrieve active job IDs for a specific user, enhancing user experience by allowing visibility of ongoing tasks. - Implemented self-healing cleanup for stale job entries, ensuring accurate tracking of active jobs. - Updated job creation, update, and deletion methods to manage user-specific job sets effectively. - Enhanced integration tests to validate the new user-specific job management features. * refactor: Simplify job deletion logic by removing user job cleanup from InMemoryJobStore and RedisJobStore * WIP: Add backend inspect script for easier debugging in production * refactor: title generation logic - Changed the title generation endpoint from POST to GET, allowing for more efficient retrieval of titles based on conversation ID. - Implemented exponential backoff for title fetching retries, improving responsiveness and reducing server load. - Introduced a queuing mechanism for title generation, ensuring titles are generated only after job completion. - Updated relevant components and hooks to utilize the new title generation logic, enhancing user experience and application performance. * feat: Enhance updateConvoInAllQueries to support moving conversations to the top * chore: temp. remove added multi convo * refactor: Update active jobs query integration for optimistic updates on abort - Introduced a new interface for active jobs response to standardize data handling. - Updated query keys for active jobs to ensure consistency across components. - Enhanced job management logic in hooks to properly reflect active job states, improving overall application responsiveness. * refactor: useResumableStreamToggle hook to manage resumable streams for legacy/assistants endpoints - Introduced a new hook, useResumableStreamToggle, to automatically toggle resumable streams off for assistants endpoints and restore the previous value when switching away. - Updated ChatView component to utilize the new hook, enhancing the handling of streaming behavior based on endpoint type. - Refactored imports in ChatView for better organization. * refactor: streamline conversation title generation handling - Removed unused type definition for TGenTitleMutation in mutations.ts to clean up the codebase. - Integrated queueTitleGeneration call in useEventHandlers to trigger title generation for new conversations, enhancing the responsiveness of the application. * feat: Add USE_REDIS_STREAMS configuration for stream job storage - Introduced USE_REDIS_STREAMS to control Redis usage for resumable stream job storage, defaulting to true if USE_REDIS is enabled but not explicitly set. - Updated cacheConfig to include USE_REDIS_STREAMS and modified createStreamServices to utilize this new configuration. - Enhanced unit tests to validate the behavior of USE_REDIS_STREAMS under various environment settings, ensuring correct defaults and overrides. * fix: title generation queue management for assistants - Introduced a queueListeners mechanism to notify changes in the title generation queue, improving responsiveness for non-resumable streams. - Updated the useTitleGeneration hook to track queue changes with a queueVersion state, ensuring accurate updates when jobs complete. - Refactored the queueTitleGeneration function to trigger listeners upon adding new conversation IDs, enhancing the overall title generation flow. * refactor: streamline agent controller and remove legacy resumable handling - Updated the AgentController to route all requests to ResumableAgentController, simplifying the logic. - Deprecated the legacy non-resumable path, providing a clear migration path for future use. - Adjusted setHeaders middleware to remove unnecessary checks for resumable mode. - Cleaned up the useResumableSSE hook to eliminate redundant query parameters, enhancing clarity and performance. * feat: Add USE_REDIS_STREAMS configuration to .env.example - Updated .env.example to include USE_REDIS_STREAMS setting, allowing control over Redis usage for resumable LLM streams. - Provided additional context on the behavior of USE_REDIS_STREAMS when not explicitly set, enhancing clarity for configuration management. * refactor: remove unused setHeaders middleware from chat route - Eliminated the setHeaders middleware from the chat route, streamlining the request handling process. - This change contributes to cleaner code and improved performance by reducing unnecessary middleware checks. * fix: Add streamId parameter for resumable stream handling across services (actions, mcp oauth) * fix(flow): add immediate abort handling and fix intervalId initialization - Add immediate abort handler that responds instantly to abort signal - Declare intervalId before cleanup function to prevent 'Cannot access before initialization' error - Consolidate cleanup logic into single function to avoid duplicate cleanup - Properly remove abort event listener on cleanup * fix(mcp): clean up OAuth flows on abort and simplify flow handling - Add abort handler in reconnectServer to clean up mcp_oauth and mcp_get_tokens flows - Update createAbortHandler to clean up both flow types on tool call abort - Pass abort signal to createFlow in returnOnOAuth path - Simplify handleOAuthRequired to always cancel existing flows and start fresh - This ensures user always gets a new OAuth URL instead of waiting for stale flows * fix(agents): handle 'new' conversationId and improve abort reliability - Treat 'new' as placeholder that needs UUID in request controller - Send JSON response immediately before tool loading for faster SSE connection - Use job's abort controller instead of prelimAbortController - Emit errors to stream if headers already sent - Skip 'new' as valid ID in abort endpoint - Add fallback to find active jobs by userId when conversationId is 'new' * fix(stream): detect early abort and prevent navigation to non-existent conversation - Abort controller on job completion to signal pending operations - Detect early abort (no content, no responseMessageId) in abortJob - Set conversation and responseMessage to null for early aborts - Add earlyAbort flag to final event for frontend detection - Remove unused text field from AbortResult interface - Frontend handles earlyAbort by staying on/navigating to new chat * test(mcp): update test to expect signal parameter in createFlow * 🔧 refactor: Update Vertex AI Configuration Handling - Simplified the logic for enabling Vertex AI in the Anthropic initialization process, ensuring it defaults to enabled unless explicitly set to false. - Adjusted the Vertex AI schema to make the 'enabled' property optional, defaulting to true when the configuration is present. - Updated related comments and documentation for clarity on the configuration behavior. * 🔧 chore: Update Anthropic Configuration and Logging Enhancements - Changed the default region for Anthropic Vertex AI from 'global' to 'us-east5' in the .env.example file for better regional alignment. - Added debug logging to handle non-JSON credentials in the Anthropic client, improving error visibility during credential parsing. - Updated the service key path resolution in the Vertex AI client to use the current working directory, enhancing flexibility in file location. --------- Co-authored-by: Ziyan <5621658+Ziyann@users.noreply.github.com> Co-authored-by: Aron Gates <aron@muonspace.com> Co-authored-by: Danny Avila <danny@librechat.ai> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-30 18:16:52 -05:00
Danny Avila	439bc98682	⏸ refactor: Improve UX for Parallel Streams (Multi-Convo) (#11096) ... * 🌊 feat: Implement multi-conversation feature with added conversation context and payload adjustments * refactor: Replace isSubmittingFamily with isSubmitting across message components for consistency * feat: Add loadAddedAgent and processAddedConvo for multi-conversation agent execution * refactor: Update ContentRender usage to conditionally render PlaceholderRow based on isLast and isSubmitting * WIP: first pass, sibling index * feat: Enhance multi-conversation support with agent tracking and display improvements * refactor: Introduce isEphemeralAgentId utility and update related logic for agent handling * refactor: Implement createDualMessageContent utility for sibling message display and enhance useStepHandler for added conversations * refactor: duplicate tools for added agent if ephemeral and primary agent is also ephemeral * chore: remove deprecated multimessage rendering * refactor: enhance dual message content creation and agent handling for parallel rendering * refactor: streamline message rendering and submission handling by removing unused state and optimizing conditional logic * refactor: adjust content handling in parallel mode to utilize existing content for improved agent display * refactor: update @librechat/agents dependency to version 3.0.53 * refactor: update @langchain/core and @librechat/agents dependencies to latest versions * refactor: remove deprecated @langchain/core dependency from package.json * chore: remove unused SearchToolConfig and GetSourcesParams types from web.ts * refactor: remove unused message properties from Message component * refactor: enhance parallel content handling with groupId support in ContentParts and useStepHandler * refactor: implement parallel content styling in Message, MessageRender, and ContentRender components. use explicit model name * refactor: improve agent ID handling in createDualMessageContent for dual message display * refactor: simplify title generation in AddedConvo by removing unused sender and preset logic * refactor: replace string interpolation with cn utility for className in HoverButtons component * refactor: enhance agent ID handling by adding suffix management for parallel agents and updating related components * refactor: enhance column ordering in ContentParts by sorting agents with suffix management * refactor: update @librechat/agents dependency to version 3.0.55 * feat: implement parallel content rendering with metadata support - Added `ParallelContentRenderer` and `ParallelColumns` components for rendering messages in parallel based on groupId and agentId. - Introduced `contentMetadataMap` to store metadata for each content part, allowing efficient parallel content detection. - Updated `Message` and `ContentRender` components to utilize the new metadata structure for rendering. - Modified `useStepHandler` to manage content indices and metadata during message processing. - Enhanced `IJobStore` interface and its implementations to support storing and retrieving content metadata. - Updated data schemas to include `contentMetadataMap` for messages, enabling multi-agent and parallel execution scenarios. * refactor: update @librechat/agents dependency to version 3.0.56 * refactor: remove unused EPHEMERAL_AGENT_ID constant and simplify agent ID check * refactor: enhance multi-agent message processing and primary agent determination * refactor: implement branch message functionality for parallel responses * refactor: integrate added conversation retrieval into message editing and regeneration processes * refactor: remove unused isCard and isMultiMessage props from MessageRender and ContentRender components * refactor: update @librechat/agents dependency to version 3.0.60 * refactor: replace usage of EPHEMERAL_AGENT_ID constant with isEphemeralAgentId function for improved clarity and consistency * refactor: standardize agent ID format in tests for consistency * chore: move addedConvo property to the correct position in payload construction * refactor: rename agent_id values in loadAgent tests for clarity * chore: reorder props in ContentParts component for improved readability * refactor: rename variable 'content' to 'result' for clarity in RedisJobStore tests * refactor: streamline useMessageActions by removing duplicate handleFeedback assignment * chore: revert placeholder rendering logic MessageRender and ContentRender components to original * refactor: implement useContentMetadata hook for optimized content metadata handling * refactor: remove contentMetadataMap and related logic from the codebase and revert back to agentId/groupId in content parts - Eliminated contentMetadataMap from various components and services, simplifying the handling of message content. - Updated functions to directly access agentId and groupId from content parts instead of relying on a separate metadata map. - Adjusted related hooks and components to reflect the removal of contentMetadataMap, ensuring consistent handling of message content. - Updated tests and documentation to align with the new structure of message content handling. * refactor: remove logging from groupParallelContent function to clean up output * refactor: remove model parameter from TBranchMessageRequest type for simplification * refactor: enhance branch message creation by stripping metadata for standalone content * chore: streamline branch message creation by simplifying content filtering and removing unnecessary metadata checks * refactor: include attachments in branch message creation for improved content handling * refactor: streamline agent content processing by consolidating primary agent identification and filtering logic * refactor: simplify multi-agent message processing by creating a dedicated mapping method and enhancing content filtering * refactor: remove unused parameter from loadEphemeralAgent function for cleaner code * refactor: update groupId handling in metadata to only set when provided by the server	2025-12-25 01:43:54 -05:00
Danny Avila	0ae3b87b65	🌊 feat: Resumable LLM Streams with Horizontal Scaling (#10926) ... * ✨ feat: Implement Resumable Generation Jobs with SSE Support - Introduced GenerationJobManager to handle resumable LLM generation jobs independently of HTTP connections. - Added support for subscribing to ongoing generation jobs via SSE, allowing clients to reconnect and receive updates without losing progress. - Enhanced existing agent controllers and routes to integrate resumable functionality, including job creation, completion, and error handling. - Updated client-side hooks to manage adaptive SSE streams, switching between standard and resumable modes based on user settings. - Added UI components and settings for enabling/disabling resumable streams, improving user experience during unstable connections. * WIP: resuming * WIP: resumable stream * feat: Enhance Stream Management with Abort Functionality - Updated the abort endpoint to support aborting ongoing generation streams using either streamId or conversationId. - Introduced a new mutation hook `useAbortStreamMutation` for client-side integration. - Added `useStreamStatus` query to monitor stream status and facilitate resuming conversations. - Enhanced `useChatHelpers` to incorporate abort functionality when stopping generation. - Improved `useResumableSSE` to handle stream errors and token refresh seamlessly. - Updated `useResumeOnLoad` to check for active streams and resume conversations appropriately. * fix: Update query parameter handling in useChatHelpers - Refactored the logic for determining the query parameter used in fetching messages to prioritize paramId from the URL, falling back to conversationId only if paramId is not available. This change ensures consistency with the ChatView component's expectations. * fix: improve syncing when switching conversations * fix: Prevent memory leaks in useResumableSSE by clearing handler maps on stream completion and cleanup * fix: Improve content type mismatch handling in useStepHandler - Enhanced the condition for detecting content type mismatches to include additional checks, ensuring more robust validation of content types before processing updates. * fix: Allow dynamic content creation in useChatFunctions - Updated the initial response handling to avoid pre-initializing content types, enabling dynamic creation of content parts based on incoming delta events. This change supports various content types such as think and text. * fix: Refine response message handling in useStepHandler - Updated logic to determine the appropriate response message based on the last message's origin, ensuring correct message replacement or appending based on user interaction. This change enhances the accuracy of message updates in the chat flow. * refactor: Enhance GenerationJobManager with In-Memory Implementations - Introduced InMemoryJobStore, InMemoryEventTransport, and InMemoryContentState for improved job management and event handling. - Updated GenerationJobManager to utilize these new implementations, allowing for better separation of concerns and easier maintenance. - Enhanced job metadata handling to support user messages and response IDs for resumable functionality. - Improved cleanup and state management processes to prevent memory leaks and ensure efficient resource usage. * refactor: Enhance GenerationJobManager with improved subscriber handling - Updated RuntimeJobState to include allSubscribersLeftHandlers for managing client disconnections without affecting subscriber count. - Refined createJob and subscribe methods to ensure generation starts only when the first real client connects. - Added detailed documentation for methods and properties to clarify the synchronization of job generation with client readiness. - Improved logging for subscriber checks and event handling to facilitate debugging and monitoring. * chore: Adjust timeout for subscriber readiness in ResumableAgentController - Reduced the timeout duration from 5000ms to 2500ms in the startGeneration function to improve responsiveness when waiting for subscriber readiness. This change aims to enhance the efficiency of the agent's background generation process. * refactor: Update GenerationJobManager documentation and structure - Enhanced the documentation for GenerationJobManager to clarify the architecture and pluggable service design. - Updated comments to reflect the potential for Redis integration and the need for async refactoring. - Improved the structure of the GenerationJob facade to emphasize the unified API while allowing for implementation swapping without affecting consumer code. * refactor: Convert GenerationJobManager methods to async for improved performance - Updated methods in GenerationJobManager and InMemoryJobStore to be asynchronous, enhancing the handling of job creation, retrieval, and management. - Adjusted the ResumableAgentController and related routes to await job operations, ensuring proper flow and error handling. - Increased timeout duration in ResumableAgentController's startGeneration function to 3500ms for better subscriber readiness management. * refactor: Simplify initial response handling in useChatFunctions - Removed unnecessary pre-initialization of content types in the initial response, allowing for dynamic content creation based on incoming delta events. This change enhances flexibility in handling various content types in the chat flow. * refactor: Clarify content handling logic in useStepHandler - Updated comments to better explain the handling of initialContent and existingContent in edit and resume scenarios. - Simplified the logic for merging content, ensuring that initialContent is used directly when available, improving clarity and maintainability. * refactor: Improve message handling logic in useStepHandler - Enhanced the logic for managing messages in multi-tab scenarios, ensuring that the most up-to-date message history is utilized. - Removed existing response placeholders and ensured user messages are included, improving the accuracy of message updates in the chat flow. * fix: remove unnecessary content length logging in the chat stream response, simplifying the debug message while retaining essential information about run steps. This change enhances clarity in logging without losing critical context. * refactor: Integrate streamId handling for improved resumable functionality for attachments - Added streamId parameter to various functions to support resumable mode in tool loading and memory processing. - Updated related methods to ensure proper handling of attachments and responses based on the presence of streamId, enhancing the overall streaming experience. - Improved logging and attachment management to accommodate both standard and resumable modes. * refactor: Streamline abort handling and integrate GenerationJobManager for improved job management - Removed the abortControllers middleware and integrated abort handling directly into GenerationJobManager. - Updated abortMessage function to utilize GenerationJobManager for aborting jobs by conversation ID, enhancing clarity and efficiency. - Simplified cleanup processes and improved error handling during abort operations. - Enhanced metadata management for jobs, including endpoint and model information, to facilitate better tracking and resource management. * refactor: Unify streamId and conversationId handling for improved job management - Updated ResumableAgentController and AgentController to generate conversationId upfront, ensuring it matches streamId for consistency. - Simplified job creation and metadata management by removing redundant conversationId updates from callbacks. - Refactored abortMiddleware and related methods to utilize the unified streamId/conversationId approach, enhancing clarity in job handling. - Removed deprecated methods from GenerationJobManager and InMemoryJobStore, streamlining the codebase and improving maintainability. * refactor: Enhance resumable SSE handling with improved UI state management and error recovery - Added UI state restoration on successful SSE connection to indicate ongoing submission. - Implemented detailed error handling for network failures, including retry logic with exponential backoff. - Introduced abort event handling to reset UI state on intentional stream closure. - Enhanced debugging capabilities for testing reconnection and clean close scenarios. - Updated generation function to retry on network errors, improving resilience during submission processes. * refactor: Consolidate content state management into IJobStore for improved job handling - Removed InMemoryContentState and integrated its functionality into InMemoryJobStore, streamlining content state management. - Updated GenerationJobManager to utilize jobStore for content state operations, enhancing clarity and reducing redundancy. - Introduced RedisJobStore for horizontal scaling, allowing for efficient job management and content reconstruction from chunks. - Updated IJobStore interface to reflect changes in content state handling, ensuring consistency across implementations. * feat: Introduce Redis-backed stream services for enhanced job management - Added createStreamServices function to configure job store and event transport, supporting both Redis and in-memory options. - Updated GenerationJobManager to allow configuration with custom job stores and event transports, improving flexibility for different deployment scenarios. - Refactored IJobStore interface to support asynchronous content retrieval, ensuring compatibility with Redis implementations. - Implemented RedisEventTransport for real-time event delivery across instances, enhancing scalability and responsiveness. - Updated InMemoryJobStore to align with new async patterns for content and run step retrieval, ensuring consistent behavior across storage options. * refactor: Remove redundant debug logging in GenerationJobManager and RedisEventTransport - Eliminated unnecessary debug statements in GenerationJobManager related to subscriber actions and job updates, enhancing log clarity. - Removed debug logging in RedisEventTransport for subscription and subscriber disconnection events, streamlining the logging output. - Cleaned up debug messages in RedisJobStore to focus on essential information, improving overall logging efficiency. * refactor: Enhance job state management and TTL configuration in RedisJobStore - Updated the RedisJobStore to allow customizable TTL values for job states, improving flexibility in job management. - Refactored the handling of job expiration and cleanup processes to align with new TTL configurations. - Simplified the response structure in the chat status endpoint by consolidating state retrieval, enhancing clarity and performance. - Improved comments and documentation for better understanding of the changes made. * refactor: cleanupOnComplete option to GenerationJobManager for flexible resource management - Introduced a new configuration option, cleanupOnComplete, allowing immediate cleanup of event transport and job resources upon job completion. - Updated completeJob and abortJob methods to respect the cleanupOnComplete setting, enhancing memory management. - Improved cleanup logic in the cleanup method to handle orphaned resources effectively. - Enhanced documentation and comments for better clarity on the new functionality. * refactor: Update TTL configuration for completed jobs in InMemoryJobStore - Changed the TTL for completed jobs from 5 minutes to 0, allowing for immediate cleanup. - Enhanced cleanup logic to respect the new TTL setting, improving resource management. - Updated comments for clarity on the behavior of the TTL configuration. * refactor: Enhance RedisJobStore with local graph caching for improved performance - Introduced a local cache for graph references using WeakRef to optimize reconnects for the same instance. - Updated job deletion and cleanup methods to manage the local cache effectively, ensuring stale entries are removed. - Enhanced content retrieval methods to prioritize local cache access, reducing Redis round-trips for same-instance reconnects. - Improved documentation and comments for clarity on the caching mechanism and its benefits. * feat: Add integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore, add Redis Cluster support - Introduced comprehensive integration tests for GenerationJobManager, covering both in-memory and Redis modes to ensure consistent job management and event handling. - Added tests for RedisEventTransport to validate pub/sub functionality, including cross-instance event delivery and error handling. - Implemented integration tests for RedisJobStore, focusing on multi-instance job access, content reconstruction from chunks, and consumer group behavior. - Enhanced test setup and teardown processes to ensure a clean environment for each test run, improving reliability and maintainability. * fix: Improve error handling in GenerationJobManager for allSubscribersLeft handlers - Enhanced the error handling logic when retrieving content parts for allSubscribersLeft handlers, ensuring that any failures are logged appropriately. - Updated the promise chain to catch errors from getContentParts, improving robustness and clarity in error reporting. * ci: Improve Redis client disconnection handling in integration tests - Updated the afterAll cleanup logic in integration tests for GenerationJobManager, RedisEventTransport, and RedisJobStore to use `quit()` for graceful disconnection of the Redis client. - Added fallback to `disconnect()` if `quit()` fails, enhancing robustness in resource management during test teardown. - Improved comments for clarity on the disconnection process and error handling. * refactor: Enhance GenerationJobManager and event transports for improved resource management - Updated GenerationJobManager to prevent immediate cleanup of eventTransport upon job completion, allowing final events to transmit fully before cleanup. - Added orphaned stream cleanup logic in GenerationJobManager to handle streams without corresponding jobs. - Introduced getTrackedStreamIds method in both InMemoryEventTransport and RedisEventTransport for better management of orphaned streams. - Improved comments for clarity on resource management and cleanup processes. * refactor: Update GenerationJobManager and ResumableAgentController for improved event handling - Modified GenerationJobManager to resolve readyPromise immediately, eliminating startup latency and allowing early event buffering for late subscribers. - Enhanced event handling logic to replay buffered events when the first subscriber connects, ensuring no events are lost due to race conditions. - Updated comments for clarity on the new event synchronization mechanism and its benefits in both Redis and in-memory modes. * fix: Update cache integration test command for stream to ensure proper execution - Modified the test command for cache integration related to streams by adding the --forceExit flag to prevent hanging tests. - This change enhances the reliability of the test suite by ensuring all tests complete as expected. * feat: Add active job management for user and show progress in conversation list - Implemented a new endpoint to retrieve active generation job IDs for the current user, enhancing user experience by allowing visibility of ongoing tasks. - Integrated active job tracking in the Conversations component, displaying generation indicators based on active jobs. - Optimized job management in the GenerationJobManager and InMemoryJobStore to support user-specific job queries, ensuring efficient resource handling and cleanup. - Updated relevant components and hooks to utilize the new active jobs feature, improving overall application responsiveness and user feedback. * feat: Implement active job tracking by user in RedisJobStore - Added functionality to retrieve active job IDs for a specific user, enhancing user experience by allowing visibility of ongoing tasks. - Implemented self-healing cleanup for stale job entries, ensuring accurate tracking of active jobs. - Updated job creation, update, and deletion methods to manage user-specific job sets effectively. - Enhanced integration tests to validate the new user-specific job management features. * refactor: Simplify job deletion logic by removing user job cleanup from InMemoryJobStore and RedisJobStore * WIP: Add backend inspect script for easier debugging in production * refactor: title generation logic - Changed the title generation endpoint from POST to GET, allowing for more efficient retrieval of titles based on conversation ID. - Implemented exponential backoff for title fetching retries, improving responsiveness and reducing server load. - Introduced a queuing mechanism for title generation, ensuring titles are generated only after job completion. - Updated relevant components and hooks to utilize the new title generation logic, enhancing user experience and application performance. * feat: Enhance updateConvoInAllQueries to support moving conversations to the top * chore: temp. remove added multi convo * refactor: Update active jobs query integration for optimistic updates on abort - Introduced a new interface for active jobs response to standardize data handling. - Updated query keys for active jobs to ensure consistency across components. - Enhanced job management logic in hooks to properly reflect active job states, improving overall application responsiveness. * refactor: useResumableStreamToggle hook to manage resumable streams for legacy/assistants endpoints - Introduced a new hook, useResumableStreamToggle, to automatically toggle resumable streams off for assistants endpoints and restore the previous value when switching away. - Updated ChatView component to utilize the new hook, enhancing the handling of streaming behavior based on endpoint type. - Refactored imports in ChatView for better organization. * refactor: streamline conversation title generation handling - Removed unused type definition for TGenTitleMutation in mutations.ts to clean up the codebase. - Integrated queueTitleGeneration call in useEventHandlers to trigger title generation for new conversations, enhancing the responsiveness of the application. * feat: Add USE_REDIS_STREAMS configuration for stream job storage - Introduced USE_REDIS_STREAMS to control Redis usage for resumable stream job storage, defaulting to true if USE_REDIS is enabled but not explicitly set. - Updated cacheConfig to include USE_REDIS_STREAMS and modified createStreamServices to utilize this new configuration. - Enhanced unit tests to validate the behavior of USE_REDIS_STREAMS under various environment settings, ensuring correct defaults and overrides. * fix: title generation queue management for assistants - Introduced a queueListeners mechanism to notify changes in the title generation queue, improving responsiveness for non-resumable streams. - Updated the useTitleGeneration hook to track queue changes with a queueVersion state, ensuring accurate updates when jobs complete. - Refactored the queueTitleGeneration function to trigger listeners upon adding new conversation IDs, enhancing the overall title generation flow. * refactor: streamline agent controller and remove legacy resumable handling - Updated the AgentController to route all requests to ResumableAgentController, simplifying the logic. - Deprecated the legacy non-resumable path, providing a clear migration path for future use. - Adjusted setHeaders middleware to remove unnecessary checks for resumable mode. - Cleaned up the useResumableSSE hook to eliminate redundant query parameters, enhancing clarity and performance. * feat: Add USE_REDIS_STREAMS configuration to .env.example - Updated .env.example to include USE_REDIS_STREAMS setting, allowing control over Redis usage for resumable LLM streams. - Provided additional context on the behavior of USE_REDIS_STREAMS when not explicitly set, enhancing clarity for configuration management. * refactor: remove unused setHeaders middleware from chat route - Eliminated the setHeaders middleware from the chat route, streamlining the request handling process. - This change contributes to cleaner code and improved performance by reducing unnecessary middleware checks. * fix: Add streamId parameter for resumable stream handling across services (actions, mcp oauth) * fix(flow): add immediate abort handling and fix intervalId initialization - Add immediate abort handler that responds instantly to abort signal - Declare intervalId before cleanup function to prevent 'Cannot access before initialization' error - Consolidate cleanup logic into single function to avoid duplicate cleanup - Properly remove abort event listener on cleanup * fix(mcp): clean up OAuth flows on abort and simplify flow handling - Add abort handler in reconnectServer to clean up mcp_oauth and mcp_get_tokens flows - Update createAbortHandler to clean up both flow types on tool call abort - Pass abort signal to createFlow in returnOnOAuth path - Simplify handleOAuthRequired to always cancel existing flows and start fresh - This ensures user always gets a new OAuth URL instead of waiting for stale flows * fix(agents): handle 'new' conversationId and improve abort reliability - Treat 'new' as placeholder that needs UUID in request controller - Send JSON response immediately before tool loading for faster SSE connection - Use job's abort controller instead of prelimAbortController - Emit errors to stream if headers already sent - Skip 'new' as valid ID in abort endpoint - Add fallback to find active jobs by userId when conversationId is 'new' * fix(stream): detect early abort and prevent navigation to non-existent conversation - Abort controller on job completion to signal pending operations - Detect early abort (no content, no responseMessageId) in abortJob - Set conversation and responseMessage to null for early aborts - Add earlyAbort flag to final event for frontend detection - Remove unused text field from AbortResult interface - Frontend handles earlyAbort by staying on/navigating to new chat * test(mcp): update test to expect signal parameter in createFlow fix(agents): include 'new' conversationId in newConvo check for title generation When frontend sends 'new' as conversationId, it should still trigger title generation since it's a new conversation. Rename boolean variable for clarity fix(agents): check abort state before completeJob for title generation completeJob now triggers abort signal for cleanup, so we need to capture the abort state beforehand to correctly determine if title generation should run.	2025-12-19 12:14:19 -05:00
Samuel Path	304bba853c	💻 feat: Deeper MCP UI integration in the Chat UI (#9669) ... * 💻 feat: deeper MCP UI integration in the chat UI using plugins --------- Co-authored-by: Samuel Path <samuel.path@shopify.com> Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com> * 💻 refactor: Migrate MCP UI resources from index-based to ID-based referencing - Replace index-based resource markers with stable resource IDs - Update plugin to parse \ui{resourceId} format instead of \ui0 - Refactor components to use useMessagesOperations instead of useSubmitMessage - Add ShareMessagesProvider for UI resources in share view - Add useConversationUIResources hook for cross-turn resource lookups - Update parsers to generate resource IDs from content hashes - Update all tests to use resource IDs instead of indices - Add sandbox permissions for iframe popups - Remove deprecated MCP tool context instructions --------- Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com>	2025-12-11 16:41:11 -05:00
Danny Avila	04a4a2aa44	🧵 refactor: Migrate Endpoint Initialization to TypeScript (#10794) ... * refactor: move endpoint initialization methods to typescript * refactor: move agent init to packages/api - Introduced `initialize.ts` for agent initialization, including file processing and tool loading. - Updated `resources.ts` to allow optional appConfig parameter. - Enhanced endpoint configuration handling in various initialization files to support model parameters. - Added new artifacts and prompts for React component generation. - Refactored existing code to improve type safety and maintainability. * refactor: streamline endpoint initialization and enhance type safety - Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`. - Simplified request handling by directly extracting keys from the request body. - Improved type safety by ensuring user IDs are safely accessed with optional chaining. - Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability. * refactor: moved ModelService and extractBaseURL to packages/api - Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models. - Updated existing endpoint index to include the new models module. - Enhanced utility functions for URL extraction and model data processing. - Improved type safety and error handling across the models fetching logic. * refactor: consolidate utility functions and remove unused files - Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization. - Removed redundant utility files and their associated tests to streamline the codebase. - Updated imports across various client files to utilize the new consolidated functions. - Enhanced overall maintainability by reducing the number of utility modules. * refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file * refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api` * chore: remove unused 'res' from options in AgentClient * refactor: file model imports and methods - Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'. - Consolidated file-related methods into a new file methods module in the data-schemas package. - Added comprehensive tests for file methods including creation, retrieval, updating, and deletion. - Enhanced the initializeAgent function to accept dependency injection for file-related methods. - Improved error handling and logging in file methods. * refactor: streamline database method references in agent initialization * refactor: enhance file method tests and update type references to IMongoFile * refactor: consolidate database method imports in agent client and initialization * chore: remove redundant import of initializeAgent from @librechat/api * refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints * refactor: move updateUserPlugins logic to user.ts and simplify UserController * refactor: update imports for user key management and remove UserService * refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports * refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas * chore: update file model mock to use unified import from '~/models' * chore: import order * refactor: remove migrated to TS agent.js file and its associated logic from the endpoints * chore: add reusable function to extract imports from source code in unused-packages workflow * chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction * chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output * chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists * chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports * chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts	2025-12-11 16:37:16 -05:00
Danny Avila	2d536dd0fa	📦 refactor: Request Message Sanitization for Smaller Final Response (#10792) ... * refactor: implement sanitizeFileForTransmit and sanitizeMessageForTransmit functions for smaller payload to client transmission * refactor: enhance sanitizeMessageForTransmit to preserve empty files array and avoid mutating original message * refactor: update sanitizeMessageForTransmit to ensure immutability of files array and improve test clarity	2025-12-03 14:26:49 -05:00