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>
- 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
- Add projectId parameter to refineText API and TaskForm for proper scoping
- Update mission routes to require projectId and add regression tests
- Add mission interview fallback to mission-level context when target not found
- Add AI refine route scoping tests for project isolation
- Update component tests to expect projectId argument
- Update prompt-keys test counts for new system prompts
- 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
- Add AI text refinement backend service with OpenAI/Anthropic integration
- Add /api/refine-text API endpoint with error handling
- Add QuickEntryBox AI refine button with style presets menu
- Add NewTaskModal AI refine feature for task description editing
- Add comprehensive tests for backend service, API, and components
- Add changeset for the new feature
