Adds vector-based semantic search across all chat sessions using Qdrant.
When a ChatTurn finishes, its content is chunked, embedded, and upserted
to a Qdrant collection. A search API and UI components enable searching
at user, project, and session scope.
Phase 1 — Configuration & Dependencies
- Add port/apiKey to GadgetCodeConfig.qdrant type
- Uncomment and update qdrant section in YAML config example
- Add qdrant config passthrough in env.ts
- Add @qdrant/js-client-rest dependency
Phase 2 — AI Embedding API (@gadget/ai)
- Add IAiEmbeddingResponse interface and abstract embeddings() to AiApi
- Implement embeddings() in OllamaAiApi (client.embeddings)
- Implement embeddings() in OpenAiApi (client.embeddings.create)
- Export IAiEmbeddingResponse from package index
Phase 3 — Backend Vector Store Service
- Create VectorStoreService (ingestTurn, search, removeTurnPoints)
- Hook fire-and-forget ingest after turn.save() in drone-session
- Register VectorStoreService in service startup/shutdown
Phase 4 — Backend Search API
- Create POST /api/v1/search controller with userId enforcement
- Batch-hydrate results from MongoDB (user, project, session, turn)
- Register search route in v1 API router
Phase 5 — Frontend Search Components
- SearchInput: debounced input with lucide-react icons
- ChatSearchResults: modal with score badges, metadata, loading states
- DroneSelectionModal: drone picker for sessions without a drone
- Add searchApi and ISearchResult to API client
- Add search to Home (global), ProjectManager (project), ChatSessionView (session)
- Add id=turn-{turnId} to ChatTurn for scroll targeting
- Scroll-to-turn from search result selection and router state
- Show DroneSelectionModal when no drone available
- Add Select Drone button in ChatSessionView sidebar
Converts gadget-tasks from a duplicated codebase with direct MongoDB access
to a headless IDE client that uses gadget-code's REST API and Socket.IO
protocol to submit and process task prompts through the existing pipeline.
Deleted (no longer needed):
- gadget-tasks/src/models/ (5 Mongoose models — duplicated from gadget-code)
- gadget-tasks/data/prompts/ (11 prompt templates — duplicated from gadget-code)
- gadget-tasks/src/services/executor.ts (629-line AWL loop — duplicated from gadget-drone)
- gadget-tasks/src/services/ai.ts (direct AI API calls — drones do this now)
- gadget-tasks/src/services/workspace.ts (workspace management — drones do this now)
Added:
- gadget-tasks/src/services/platform.ts — REST API + Socket.IO headless IDE client
with session lock, workspace mode, prompt submission, work order tracking
Rewritten:
- gadget-tasks/src/gadget-tasks.ts — new startup: user login → auth → drone
selection → Socket.IO connect → schedule tasks (no MongoDB)
- gadget-tasks/src/services/scheduler.ts — delegates to PlatformService.executeTask()
- gadget-tasks/src/config/env.ts — platform.baseUrl config, no mongodb/google
gadget-code changes:
- Added PATCH /api/v1/projects/:projectId/tasks/:taskId/lastRun route
- Added ProjectService.updateTaskLastRun() for atomic task field update
Config changes:
- GadgetTasksConfig: replaced mongodb with platform.baseUrl, removed google.cse
- Dependencies: removed mongoose, @gadget/ai, @gadget/ai-toolbox, dayjs,
simple-git, nanoid; added socket.io-client, @inquirer/prompts
Move the 6 duplicated logging modules (component, log, log-transport,
log-transport-console, log-transport-file, log-file) from both
gadget-code (Dtp* prefix) and gadget-drone (Gadget* prefix) into
@shad/api, using gadget-drone's GadgetLog as the canonical version.
GadgetLog now uses static configuration (consoleEnabled, defaultFile)
set by each consumer's env.ts at module scope, removing the env
dependency from the shared library. The addDefaultTransport/
removeDefaultTransport/getDefaultTransports static methods are
preserved for future real-time log transport injection.
- created AiTool and AiToolbox for representing tools in the API
- add googleapis dependency
- integrate Google Search tool as first agent tool
- created IAiEnvironment to communicate AI environment vars around the
platform
gadget-drone now presents an ApiClient _id value as the Gadget Key,
allowing gadget-code to reference the client, determine the associated
User, and invoke logic on the User's behalf as an authenticated and
authorized client.
