Add comprehensive test coverage for ensureValidModels method to verify
proper handling of outdated model identifiers and provider mismatches.
Tests cover fallback to provider defaults when models are renamed,
removed, or no longer match the active provider.
Extract user and assistant message rendering logic from ChatArea into dedicated UserMessage and AssistantMessage components, removing unused dependencies and styles.
Display artifact changes in chat with visual indicators for create/modify/delete actions, including file counts, color-coded status badges, and scrollable file list
Replace GPT-5.5-pro, GPT-5.5, GPT-5.4-mini, and GPT-5.4-nano with the new GPT-5.6 Sol, Terra, and Luna model variants across enum definitions, display copy, settings UI, tests, and default model configurations.
Replace complex dynamic padding system with turn-based message grouping that scrolls to the latest user/assistant exchange. Remove manual height calculations and message element tracking in favor of CSS-based layout using .message-group containers. Neutralize leading frontmatter markers in streaming markdown to prevent Obsidian from hiding content.
Add comprehensive test coverage for artifact generation in AIToolService
and ConversationFileSystemService, including write/patch/delete operations,
binary file handling, serialization/deserialization, and garbage collection.
Implement comprehensive artifact tracking to record all file modifications made by the AI agent during conversations. Add artifact persistence, garbage collection, and UI updates with new "Discuss" button styling.
Replace Claude Sonnet 4.6 with Sonnet 5 as default model, add Claude Fable 5, update OpenAI models to include versioned releases (GPT-5.5 Pro, dated variants), and update all references across enums, settings, tests, and documentation.
Preserve user's model preferences for each AI provider separately and restore them when switching between providers, preventing unwanted model resets during provider changes
Add explicit instructions across all agent prompts explaining that binary
files (PDFs, images, documents) return content as attachments in the
message following the tool result, not as text in the result itself.
Update tool response messages to clearly state the attachment delivery
mechanism and prevent agents from re-reading the same file expecting
different output.
Improve build safety by neutralizing dynamic eval constructs and
hardening the officeparser plugin against bundle shape changes.
Remove deprecated model versions (Claude 4/4.5/4.6, Gemini 2.5, GPT 5.4 Pro, Mistral latest aliases) and replace with current model identifiers. Add DEFAULT_QUICK_MODEL_BY_PROVIDER configuration, update default models to use Sonnet 4.6 standard and Opus 4.8 for planning, and adjust Mistral agent to use Small model.
Fix reactive issue for web and chat mode display.
Rewrites StreamingMarkdownService to use Obsidian's built-in MarkdownRenderer
instead of the unified/remark/rehype/KaTeX stack, eliminating ~700 lines of
custom markdown processing, CSS, and streaming state management. Internal link
handling now relies on Obsidian's native .internal-link class and data-href
attributes. The streaming split-point algorithm (freeze completed blocks, re-render
the live tail) is preserved.
Replace activeDocument/activeWindow globals with Obsidian API equivalents (createFragment, createDiv, createSpan, window), update officeparser to use async API, switch diff2html import path and disable highlight option, prefix unused parameters with underscore, and update dependencies including @anthropic-ai/sdk, @google/genai, officeparser, and various dev dependencies
- Change ChatMode enum values from numeric (0,1,2) to string literals ("read_only", "edit", "planning")
- Move chat mode state management from ChatWindow to SettingsService with persistence
- Add chat mode awareness to system prompts and tool validation
- Replace Map with WeakMap for settings subscribers to prevent memory leaks
- Add type-safe event handlers to EventService
- Update esbuild and TypeScript targets from ES2018/ES2020 to ES2022
- Add requiresEditModeEnabled() validation to prevent tool hallucination in read-only mode
- Update all test fixtures to include chatMode in mock settings
Mock the new subscribeToSettingsChanged method in all AI provider test files to prevent test failures. Update SettingsService tests to use updateSettings method instead of direct settings modification and saveSettings calls, aligning with the new reactive settings API that notifies subscribers of changes.
Add settings to enable/disable quick actions in both the editor context menu and toolbar. Implement dynamic registration system that updates when settings change. Include event-driven architecture for settings changes and improve toolbar injection logic. Update dependencies to latest versions.
Update test mocks to use renamed methods: readFile → readFilePath, writeFile → writeToFilePath, patchFile → patchFileAtPath. Add activeWindow and activeDocument globals to test setup for Obsidian compatibility.
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.
- 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)
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).
- 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
