- Add planning-module documentation explaining current ntfy helper flow and future NotificationService migration
- Detect NotificationService export availability during helper initialization and emit diagnostic info logging
- Add regression test coverage that verifies planning notifications still use ntfy helper functions when NotificationService is present
- Preserve planning awaiting-input notification behavior and click URL/event gating expectations
- Replace namespace engine imports with a named createFnAgent import in planning and chat modules
- Alias imported createFnAgent to engineCreateFnAgent and wire local createFnAgent binding to it
- Preserve existing injectable createFnAgent variable pattern while avoiding dynamic namespace access pitfalls
The auto-resolved FN-2614 merge swapped `import * as engine` for a narrow
named import but left dangling `engine.X` references, breaking the
dashboard build. Restore the namespace import and drop the now-orphaned
engineExports/ntfy helper consts.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- fix(FN-2613): restore green CI after static engine import changes
- test(FN-2613): complete Step 3 — update mobile and standalone CSS assertions
- feat(FN-2613): complete Step 2 — move standalone token override to global styles
The dashboard modules used a variable-specifier dynamic import
(`const m = "@fusion/engine"; await import(m)`) to defeat bundler static
analysis. tsup honored that and left the dynamic import in dist/bin.js,
so the published `@runfusion/fusion` package failed at runtime with
"createFnAgent2 is not a function" — `@fusion/engine` isn't on npm and
the silent catch set the binding to undefined. Replaces the trick with
static imports across planning, chat, subtask-breakdown, mission-interview,
agent-generation, ai-refine, roadmap-suggestions, milestone-slice-interview,
and routes. Core can't statically import engine (cycle), so it now exposes
setCreateFnAgent and engine wires itself in at module load. Documents the
pattern in AGENTS.md.
FixesRunfusion/Fusion#9.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two related planning-mode issues:
1. The streaming "thinking" panel only showed for models that emit explicit
thinking_delta events (e.g. Anthropic Extended Thinking). For every other
model the user saw a spinner with no streaming content because text_delta
was being accumulated server-side without being broadcast over SSE. Now
onText also forwards deltas through the same stream channel so any model
surfaces its in-flight output.
2. Returning to the planning screen after the browser tab was backgrounded
long enough for the SSE socket to time out would land the user in a
permanent error view ("Session failed while contacting the AI") even
though the server session was still alive. The onError handler now first
re-fetches the AI session row; if the server still reports the session as
generating or awaiting_input it silently reconnects without surfacing the
transient error. Only genuine server-side failures still surface.
Tests for the obsolete manual-retry recovery path were rewritten as
auto-recovery assertions.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Clears the remaining no-unused-vars warnings across the dashboard app and
server, desktop main, and engine sources. Dead React state destructures are
collapsed to setter-only, unused props are underscore-prefixed to preserve
API shape, and unreferenced catch bindings are dropped. No behaviour change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Rename core loader, dashboard server chat/planning routes, and frontend agent IDs/storage keys from kb-agent to fn-agent naming
- Update dashboard hooks and components (agent list, chat view, quick chat) to use the new fn agent key prefixes consistently
- Refresh engine, dashboard, core, and CLI tests/mocks to remove remaining kb-agent route and temp prefix references
- Update storage/gap-analysis docs to reflect fn agent key names and add a @gsxdsm/fusion patch changeset for the rename
- Rename engine export and call sites to use createFnAgent consistently across runtime flows
- Update core lazy engine loader and dashboard agent-generation/planning/chat paths to reference createFnAgent
- Refresh affected unit and integration tests, including renaming pi-create-kb-agent.test.ts to pi-create-fn-agent.test.ts
- Update AGENTS.md documentation references to match the new createFnAgent name
- Guard PATCH /api/missions/features/:featureId to reject status
transitions to execution states (triaged, in-progress, done, blocked)
when feature has no taskId
- 'defined' status remains always allowed (initial state)
- Non-status field updates (title, description) are unaffected
- Add 6 new tests covering guard behavior and edge cases
- All 147 mission-e2e tests passing
- Bump SQLite schema to v19 with ai_sessions lock columns and lock index, and align migration coverage in core DB tests
- Extend AiSessionStore with acquire/release/force lock APIs, stale lock cleanup, and lock metadata in ai_session update summaries
- Enforce lock checks on planning, subtask, and mission interview mutation routes with 409 conflict responses while keeping stream reads unaffected
- Add frontend tab identity + useSessionLock hook and wire Planning, Subtask, and Mission modals to pass tabId, show lock overlay, and support Take Control
- Expand dashboard route/e2e and modal tests to validate lock enforcement, lock handoff, and lock-aware session reentry behavior
- Keep errored AI sessions retryable in the session store and add backend retry handlers for planning, subtask breakdown, and mission interview flows
- Add retry API routes and dashboard API client helpers for planning, subtask, and mission interview session retries
- Update PlanningModeModal, SubtaskBreakdownModal, MissionInterviewModal, and background session handling to show error states with retry/cancel UX
- Expand unit and integration tests across store, services, routes, and modal components to cover retry success and failure paths
- Persist per-turn thinking output for planning and mission interview sessions, including history serialization and recovery-safe state fields
- Add shared conversation history parsing/API types and a reusable timeline component with formatted answers and expandable AI reasoning
- Restore and render conversation history across Planning Mode, Mission Interview, and Subtask Breakdown modals during resume and live question flow
- Harden response submission with nullable-question guards and expand unit/e2e coverage for history rendering and persistence behavior
- Update CLI command strings, help text, and project-resolution messaging to reference fn
- Sync core backup/store messaging and dashboard API/planning/subtask prompt examples with fn usage
- Refresh dashboard UI copy in settings, project detection, and PR guidance for consistent command naming
- Adjust CLI/dashboard tests and add a @gsxdsm/fusion changeset for the naming alignment patch
- Add recoverable-session querying in AiSessionStore and cover it with targeted store tests
- Persist resume context (ip, initial plan, mission metadata) and rebuild planning/subtask/mission sessions from SQLite rows
- Rehydrate recoverable sessions at server startup and resume planning/mission interviews by recreating agents with replayed conversation context
- Update API flows to pass project root context and clean in-memory sessions when persisted sessions are deleted, with comprehensive regression tests
- Add aiSessionTtlMs and aiSessionCleanupIntervalMs project settings with defaults and bounds for cleanup scheduling
- Extend AiSessionStore cleanup to expire stale in-progress sessions, emit deletion events, and support start/stop scheduled cleanup loops
- Wire server startup/shutdown to load cleanup settings and manage the scheduled ai_sessions sweep lifecycle
- Align planning, subtask breakdown, and mission interview in-memory session retention to a 7-day TTL with shared deletion-driven cleanup
- Update schema/tests/docs for migration v15 ai_sessions indexing and end-to-end cleanup/TTL behavior stability
- Add a shared SSE event buffer utility and wire it into planning, subtask, mission interview, and task stream routes
- Support Last-Event-ID replay semantics and robust event serialization so clients can recover missed stream events
- Add a resilient client-side reconnect wrapper and surface reconnecting state in planning, subtask breakdown, and mission interview modals
- Expand test coverage across API routes, SSE buffering behavior, reconnect handling, and mission/planning stream flows
- Add planning model selection UI to PlanningModeModal initial view with model loading, favorites wiring, and default/custom badge state
- Extend startPlanningStreaming client API to send optional planningModelProvider/planningModelId overrides
- Propagate planning model overrides through /planning/start-streaming and createSessionWithAgent so agent creation uses selected model settings
- Add frontend and backend tests covering modal selection behavior, request forwarding, and end-to-end planning model flow
- Add a shared interview Q&A formatter for planning history across question types
- Append formatted interview context to generated subtask descriptions when history exists
- Include the same interview context in multi-task planning log entries for created tasks
- Expand planning tests to cover formatter behavior and subtask description context handling
- Remove hardcoded/planned stub responses from planning createSession and related functions
- Wire AI agent into planning session for interactive Q&A-based task planning
- Update JSDoc to remove stub references and reflect actual implementation
- Add comprehensive tests for AI-powered planning (planning.test.ts, routes.test.ts)
- Add mock agent setup to routes test for planning endpoint coverage
- Add generateSubtasksFromPlanning function to generate subtasks from planning session key deliverables
- Add POST /planning/start-breakdown and POST /planning/create-tasks API routes
- Add startPlanningBreakdown and createTasksFromPlanning frontend API functions
- Extend PlanningModeModal with Break into Tasks UI and subtask editing (drag-and-drop, dependency validation)
- Add comprehensive tests for generateSubtasksFromPlanning with edge cases
- Document planning mode multi-task creation feature in AGENTS.md
Introduces ai_sessions table (schema v9), AiSessionStore, and background
session support for mission interviews, planning, and subtask breakdown.
Adds BackgroundTasksIndicator component, SSE-based progress streaming,
and dashboard API routes for session management.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rename @kb/core, @kb/dashboard, @kb/engine to @fusion/* namespace
- Update all import statements across 143+ files to use new package names
- Update workspace dependencies and root package.json references
- Fix bundler configurations (tsup, vite) for new package names
- Update test files and fix typecheck issues
- Add changeset file documenting the package rename
- Remove stale changeset files (mobile touch fixes, subtask breakdown)
- Fix type errors in QuickEntryBox and TaskCard components
- Remove obsolete test files (TaskCard.test.tsx, triage.test.ts)
- Fix import issues in planning.ts
- Clean up triage.ts and useAgentLogs.ts
- Add PlanningModeModal component with interactive task planning UI
- Implement backend planning API with /api/planning endpoints
- Add PlanningSession class for managing planning state
- Integrate planning mode into dashboard with header button
- Add comprehensive tests for planning components and API routes
- Include AI agent structure for future planning automation
- Update README with Planning Mode documentation
