feat(questions): deep-research module — mana-search + mana-llm pipeline

End-to-end deep-research feature for the questions module: a fire-and-
forget orchestrator in apps/api that plans sub-queries with mana-llm,
retrieves sources via mana-search (with optional Readability extraction),
and streams a structured synthesis back to the web app over SSE.

Backend (apps/api/src/modules/research):
- schema.ts: pgSchema('research') with research_results + sources
- orchestrator.ts: three-phase pipeline (plan / retrieve / synthesise)
  with depth-aware config (quick=1×, standard=3×, deep=6× sub-queries)
- pubsub.ts: in-process event bus, single-node, swappable for Redis
- routes.ts: POST /start (202, fire-and-forget), GET /:id/stream (SSE),
  POST /start-sync (test only), GET /:id, GET /:id/sources
- Credit gating via @mana/shared-hono/credits — validate up-front,
  consume best-effort on `done`. Failed runs cost nothing.

Helpers (apps/api/src/lib):
- llm.ts: llmJson() + llmStream() over mana-llm OpenAI-compat API
- search.ts: webSearch() + bulkExtract() over mana-search Go service
- responses.ts: shared errorResponse / listResponse / validationError

Schema deployment:
- drizzle.config.ts (research-scoped) + drizzle/research/0000_init.sql
  hand-authored migration, deployable via psql -f or drizzle-kit push.
- drizzle-kit added as devDep with db:generate / db:push scripts.

Web client (apps/mana/apps/web/src/lib/api/research.ts):
- Typed start() / get() / listSources() / streamProgress(). The stream
  uses fetch + ReadableStream (not EventSource) so we can attach the
  JWT via Authorization header. Special-cases 402 for friendly toast.
- New PUBLIC_MANA_API_URL plumbing in hooks.server.ts + config.ts.

Module store (modules/questions/stores/answers.svelte.ts):
- New write-side store with createManual / startResearch / accept /
  softDelete. startResearch creates an optimistic empty answer, opens
  the SSE stream, debounces token deltas in 100ms batches into the
  encrypted local row, and on `done` replaces the streamed text with
  the parsed { summary, keyPoints, followUps } payload + citations
  resolved against research.sources.id.

Citation rendering (modules/questions/components/AnswerCitations.svelte):
- Tokenises [n] markers in the answer body into clickable pills with
  hover popovers showing title / host / snippet / external link.
- Lazy-loaded via a session-scoped source cache (stores/sources.svelte.ts)
  that deduplicates concurrent fetches.

UI (routes/(app)/questions/[id]/+page.svelte):
- Recherche card with three-state button (start / cancel / re-run),
  animated phase indicator, source counter.
- Confirmation dialog warning about web/LLM transmission since the
  question itself is locally encrypted.
- Toasts for success / error / cancel via @mana/shared-ui/toast.
- Re-run flow soft-deletes prior research-driven answers but keeps
  manual ones intact.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Till JS 2026-04-08 22:15:35 +02:00
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/**
* Research module DB schema (Drizzle / pgSchema 'research')
*
* Server-side store for deep-research runs orchestrated by apps/api.
* Lives in mana_platform under its own pgSchema.
*
* - research_results: one row per research run, holds plan + final synthesis
* - sources: one row per web source consumed by a run
*
* The local-first questions module references research_results.id from
* LocalAnswer.researchResultId; sources are fetched on-demand via the API
* and never mirrored into IndexedDB (they're public web content).
*/
import { drizzle } from 'drizzle-orm/postgres-js';
import postgres from 'postgres';
import { pgSchema, uuid, text, timestamp, integer, jsonb } from 'drizzle-orm/pg-core';
const DATABASE_URL =
process.env.DATABASE_URL ?? 'postgresql://mana:devpassword@localhost:5432/mana_platform';
export const researchSchema = pgSchema('research');
/**
* One row per research run. Created in `planning` state immediately on
* /start, then updated as the orchestrator advances through phases.
*/
export const researchResults = researchSchema.table('research_results', {
id: uuid('id').defaultRandom().primaryKey(),
userId: text('user_id').notNull(),
questionId: text('question_id').notNull(), // mirrors local LocalQuestion.id (UUID)
depth: text('depth').notNull(), // 'quick' | 'standard' | 'deep'
status: text('status').notNull(), // 'planning' | 'searching' | 'extracting' | 'synthesizing' | 'done' | 'error'
subQueries: jsonb('sub_queries').$type<string[]>(),
summary: text('summary'),
keyPoints: jsonb('key_points').$type<string[]>(),
followUpQuestions: jsonb('follow_up_questions').$type<string[]>(),
errorMessage: text('error_message'),
startedAt: timestamp('started_at', { withTimezone: true }).defaultNow().notNull(),
finishedAt: timestamp('finished_at', { withTimezone: true }),
});
/**
* Sources consumed during a research run. Rank reflects ordering in the
* synthesis prompt so citation [n] in the summary maps to sources[n-1].
*/
export const sources = researchSchema.table('sources', {
id: uuid('id').defaultRandom().primaryKey(),
researchResultId: uuid('research_result_id')
.notNull()
.references(() => researchResults.id, { onDelete: 'cascade' }),
url: text('url').notNull(),
title: text('title'),
snippet: text('snippet'),
extractedContent: text('extracted_content'),
category: text('category'),
rank: integer('rank').notNull(),
createdAt: timestamp('created_at', { withTimezone: true }).defaultNow().notNull(),
});
const connection = postgres(DATABASE_URL, { max: 5, idle_timeout: 20 });
export const db = drizzle(connection, { schema: { researchResults, sources } });
export type ResearchResult = typeof researchResults.$inferSelect;
export type Source = typeof sources.$inferSelect;
export type ResearchDepth = 'quick' | 'standard' | 'deep';
export type ResearchStatus =
| 'planning'
| 'searching'
| 'extracting'
| 'synthesizing'
| 'done'
| 'error';