Introduce QuickActionsService and QuickAgent for lightweight, single-shot AI
operations. Add a dedicated quickActionModel setting alongside a new top-level
provider setting, with validation ensuring all models match the selected provider
and provider-specific defaults. Refactor FileSystemService to offer both TFile
and path-based overloads (readFile/readFilePath, writeToFile/writeToFilePath,
patchFile/patchFileAtPath). Replace window/document globals with activeWindow/
activeDocument throughout InputService and VaultkeeperAISettingTab for Obsidian
mobile compatibility.
Update linting packages to latest.
- Calculate height for consecutive assistant messages instead of just last message
- Track message role in ChatArea for proper height calculation
- Update MultiAgentIntegration test to use ChatMode enum
- Update officeparser browser bundle path and shim for v6
Introduce a new setting to control AI access to the web viewer tool and refactor prompt building to inject capability directives (memories, web search, web viewer) into all agent contexts. Update tool definitions to conditionally include web viewer and memory tools based on settings. Consolidate memories injection and active directives into a unified prompt builder pattern.
Implement web search toggle functionality across all AI providers (Claude, Gemini, Mistral, OpenAI) with conditional tool inclusion based on settings. Add globe button to chat input for toggling web search on/off. Change formatBinaryFiles visibility from public to protected in BaseAIClass and IAIClass interface. Extract tool configuration into private getTools() methods for each provider. Update tests to verify web search toggle behavior and formatBinaryFiles access level changes.
- Add MoveVaultFolder tool with supporting schema and enum
- Rename schemas from *Schema to *ArgsSchema for consistency
- Fix VaultService.move() to handle folder destinations properly
- Update AIToolResponse to use AIToolResponsePayload wrapper
- Update error message for non-existent move sources
- Add MoveVaultFolder import and tool registration
Refactor all test files to wrap tool response data in AIToolResponsePayload instances instead of passing raw objects directly to AIToolResponse constructor. Update assertions to access response data via payload.response property.
Add new AI tool to create vault folders with proper permission checks and error handling. Refactor createDirectories to be public and handle both file and directory paths. Update WriteVaultFile description formatting and fix method naming consistency.
- Update error message to show actual max lines and words per line
- Return error message from updateMemories instead of success boolean
- Add SettingsService mocks to all agent tests to prevent initialization errors
- Update test expectations for new default search limits (30 results, 100 snippet size)
- Remove unused `path` property from Conversation class and its test
- Initialize `items` and `conversations` arrays in ConversationHistoryModal
- Use `Exception.messageFrom()` for safer error serialization in StreamingMarkdownService
- Fix redundant type cast in obsidian mock's Events.on()
- Bump @anthropic-ai/sdk, @google/genai, openai, esbuild, svelte, typescript, vitest, and other minor deps
Replace hardcoded "provided below" strings with "included below" and migrate to centralized Copy enum system for consistent messaging across Claude, Gemini, Mistral, and OpenAI implementations.
Add support for DOCX, PPTX, XLSX, ODT, ODP, and ODS document formats by converting them to plain text. Standardize attachment introduction messages across all AI providers from "Binary data for X follows" to "The contents of the file 'X' are provided below."
Implement complete Mistral AI support including message formatting, tool calls with ID validation (9-char alphanumeric), streaming, file attachments, and conversation naming service. Add extensive cross-provider integration tests covering Mistral interactions with Claude, OpenAI, and Gemini, including round-trip conversions, ID validation, and mixed conversation handling. Update all test fixtures to include Mistral API keys.
Enable PatchVaultFile to apply multiple patches in a single operation by converting oldContent and newContent from strings to arrays. Add whitespace-flexible regex matching as fallback when exact string matching fails, improving robustness for code with varying indentation. Update schemas, tool definitions, and all tests to reflect the new array-based API.
Replace the single Replan tool with three targeted alternatives:
ReviseStep, RevisePlan, and SkipStep. This gives the orchestration
agent more precise control over plan recovery — revising only the
current step, replacing all remaining steps, or skipping a step
entirely — rather than triggering a full replan each time.
Also give the orchestration agent read access to vault files so it
can resolve execution failures without routing back to the planning
agent, and update the execution agent prompt to stop it from
attempting self-recovery (gap resolution is now the orchestrator's
responsibility).
Add getMimeType method mock to all Attachment test objects across AI service tests (Claude, Gemini, OpenAI) and mock StringTools.resizeB64Image in BaseAIFileService tests to prevent browser environment issues.
- Rename toolDefinitions to aiFunctionDefinitions across all AI classes
- Add aiFunctionUsageMode property to control function calling behavior
- Implement provider-specific tool_choice/tool_config based on usage mode
- Remove AIController and create BaseAgent base class
- Update ExecutionPrompt with scope of execution guidelines
- Simplify ChatArea layout update logic by removing debounce
- Add naming service completion wait in ChatService
- Replace console.warn with Exception.warn in InputService
- Delete unused AIController.ts file
- Update all tests to use new aiFunctionDefinitions property
- Rename AIControllerService to MainAgent throughout test files
- Move AIFunctionService to AIServices directory
- Update service registration from AIControllerService to MainAgent
- Add agentType parameter to mock AI configuration
- Add resolveAIProvider method to mock service
- Update test comments to reflect orchestration agent workflow
- Remove planning/execution agent-specific tests in favor of integration tests
- Consolidate agent loop tests into main test suite
- Add context_for_next_step parameter to CompleteStep for passing execution history
- Add context parameter to CompleteTask for preserving task completion state
- Update OrchestrationResult to handle context propagation between steps
- Add debug color differentiation for agent types (Main, Execution, Orchestration, Planning)
- Reorganize SearchTypes from Helpers to Types directory
- Add justification requirement for execution deviations
- Support reasonable deviations in orchestration plan validation
- Refactor dependency service with TryResolve utility
- Add whitespace cleanup to Semaphore class
Restructure the AI workflow from a single-agent model to a specialized
multi-agent system with distinct roles:
- Add AgentType enum (Main, Orchestration, Planning, Execution) to define
agent specializations
- Replace AIControllerService and AIFunctionService with modular agent
classes in Services/AIServices/:
- MainAgent: Handles user interaction and delegates to orchestration
- OrchestrationAgent: Coordinates plan execution and step-by-step workflow
- PlanningAgent: Creates and revises execution plans
- ExecutionAgent: Executes individual plan steps
- AIController: Base class providing common agent loop functionality
- Create specialized prompts (OrchestrationPrompt, ExecutionPrompt) for
agent-specific behavior
- Add OrchestrationResult type to communicate workflow control decisions
(continue, abort, replan)
- Introduce agent-specific function scoping:
- ExecuteWorkflow for main agent
- CompleteTask for execution agent
- CompleteStep/Replan/CancelPlan for orchestration agent
- SubmitPlan/AskUserQuestionPlanning for planning agent
- Update BaseAIClass to use agentType property instead of isPlanningAgent
boolean for model selection
- Simplify ExecutionPlan and ExecutionStep types by removing execution
state tracking (moved to agent coordination)
- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by
agent architecture)
- Add comprehensive integration tests for agent workflows
This architecture provides better separation of concerns, clearer agent
responsibilities, and more robust plan execution with explicit orchestration
control flow.
Test agent loop function calls, planning mode, execution agent, replan workflow, error handling, save callbacks, and shouldContinue flag behavior. Update mocks to use AIFunctionResponse class and rename onPlanComplete to onPlanReset.
Add distinct AskUserQuestionPlanning and AskUserQuestionExecution functions to enable user consultation during both planning and execution phases. Update system prompt to clarify when to seek user input vs. replan. Fix plan area rendering timing and improve execution flow handling.
- Add currentProvider getter to AI classes for provider access
- Enhance planning prompt to discourage over-engineering and scope creep
- Return Unknown enum instead of throwing for invalid AI functions
- Add completion reminders to execution steps
- Fix ChatPlanArea height calculation timing
- Update tests to handle Unknown function gracefully
Introduce separate planning model setting to allow using different models for planning vs execution. Add visual countdown display when rate limits are hit, with improved retry delay parsing across providers (Claude, OpenAI, Gemini). Refactor settings tab into Views directory and enhance mobile layout for input controls.
- Add planning mode toggle and AskUserQuestion function for interactive planning
- Fix Gemini cross-provider function call detection using toolId presence
- Update OpenAI naming service to handle new response format
- Improve system prompts by removing complexity gate, streamlining to action-first principle
- Add InputDisplay component and question mode to ChatInput
- Refactor execution plan error messages to show all incomplete steps
- Update tests to reflect cross-provider function call format changes
Restructure system prompt to enforce mandatory complexity evaluation before action. Replace verbose multi-step planning framework with concise gate-based decision model. Add UI for execution plan visibility. Improve planning/execution separation by blocking execution tools during planning phase. Remove cancellation indicator component. Fix conversation deletion bug preventing saves after delete. Strengthen type safety for AIFunction names. Simplify function summary format for planning agent. Update test mocks for new callback signatures.
Move parseFunctionCall and parseFunctionResponse from BaseAIClass private methods to shared ResponseHelper module for better code reusability across providers and tests.
- Move parseFunctionCall/parseFunctionResponse to ResponseHelper
- Enhance orphaned call/response filtering with detailed debug logs
- Add toolId to conversation content for better tracking
- Fix planning workflow execution mechanics and step numbering
- Remove unused planning agent appendix and detailedAppendixForPlanningAgent
- Add conversation save callbacks throughout AI controller loops
- Improve multi-agent function handling to avoid exceptions
- Update all tests to include toolId fields for proper filtering
- Add toolId matching validation for function call/response pairs
- Filter orphaned function calls and responses with warnings
- Add CancelPlan function to abort plan execution
- Fix planning response handling in execution agent
- Pass clearThoughtOnContent flag through streaming pipeline
Add cache control to system prompt, tools, and conversation messages to optimize API performance and reduce costs by caching frequently reused content.
Update GitHub link to point directly to project page.
Improve prompt for user suggestion during actions that require confirmation.
Update unit tests.
Bump dependency versions.
- Add validation check for file ID after upload attempt
- Clear existing file ID before re-uploading to prevent stale IDs
- Replace Node.js Buffer with standard Uint8Array/ArrayBuffer for cross-platform compatibility
- Add missing Content-Type header for Gemini file uploads
- Update tests to use TextDecoder for ArrayBuffer inspection
Enhance WorkSpaceService.getActiveFile() to filter out excluded files using VaultService.isExclusion(), preventing access to restricted paths. Add optional allowAccessToPluginRoot parameter for cases requiring access to plugin root directory. Update test expectations to match new method signature.
- Include user's current active file path in chat requests
- Move conversation save after attachments are added
- Extract formattedRequest in suggest handler
- Add WorkSpaceService.getActiveFile() method
- Remove premature chatArea layout update
- Update unit tests
- Move MimeTypeToFileTypes and FileTypeToMimeType mappings to dedicated FileTypeMimeTypeMapping enum file
- Add empty content validation for file attachments
- Add PDF support for Gemini
- Display attachment references in user messages with file info
- Fix OpenAI unsupported mime type message formatting
- Improve URI list handling in InputService to include text/plain
- Update chat area padding and styling for better attachment display
- Prevent drag selection on chat padding element
- Update test assertions for new unsupported mime type message format
