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Extraction Service — Roadmap & Task Checklist

Service: @lysnrai/extraction-service (port 4005) Package: @bytelyst/extraction (shared types + client) Core dependency: google/langextract (Python)

Companion docs: ECOSYSTEM_ARCHITECTURE.md · ROADMAP.md

Overview

A shared extraction microservice that uses Google's LangExtract library to extract structured information from unstructured text. Both LysnrAI and MindLyst consume this service for their respective extraction needs.

Architecture: Fastify (routing, auth, validation, request tracing) + Python sidecar (LangExtract). The Fastify layer keeps the service consistent with the other 4 services. The Python process handles the actual LLM-powered extraction.

┌──────────────────────────────────────────────────────────┐
│                   extraction-service                      │
│                      (port 4005)                          │
│                                                           │
│  ┌─────────────────────┐    ┌──────────────────────────┐ │
│  │   Fastify (TS)      │    │   Python Sidecar         │ │
│  │                     │    │                          │ │
│  │  - Auth middleware   │──►│  - LangExtract wrapper   │ │
│  │  - Zod validation   │◄──│  - Task registry         │ │
│  │  - x-request-id     │    │  - Model provider config │ │
│  │  - Rate limiting    │    │  - Result caching        │ │
│  │  - /health          │    │                          │ │
│  └─────────────────────┘    └──────────────────────────┘ │
└──────────────────────────────────────────────────────────┘
        ▲                              ▲
        │                              │
   REST API                     FastAPI (internal :4006)
   (external)                   or subprocess stdio

Consumers

Product	Use Case	Entry Point
LysnrAI — Desktop/Backend	Post-transcription extraction (action items, decisions, dates, people)	`backend/src/clients/extraction_client.py`
LysnrAI — Admin Dashboard	Transcript analytics, entity review	`admin-dashboard-web/src/lib/extraction-client.ts`
MindLyst — KMP/Web	Triage pipeline (brain routing, entity extraction, topic classification)	`mindlyst-native/web/src/pages/api/triage.ts`
MindLyst — Web Dashboard	Brain insight generation, reflection enrichment	Direct API calls via `@bytelyst/api-client`

Phase 0 — Foundation & Scaffolding

Goal: Set up the service skeleton, Python environment, and build pipeline.

Service scaffold (Fastify)

0.1 Create services/extraction-service/ directory structure: c292bb5

services/extraction-service/
  src/
    lib/
      config.ts            # Zod config schema (PORT, HOST, CORS, PYTHON_SIDECAR_URL, etc.)
      errors.ts            # Re-export from @bytelyst/errors
      cosmos.ts            # Re-export from @bytelyst/cosmos (for task registry persistence)
      product-config.ts    # Re-export from @bytelyst/config
      python-bridge.ts     # HTTP client to Python sidecar
    modules/
      extract/
        types.ts           # Zod schemas: ExtractionTask, ExtractionExample, ExtractionResult
        routes.ts          # POST /api/extract, POST /api/extract/batch, GET /api/tasks
      tasks/
        types.ts           # Predefined task definitions (triage, transcript, etc.)
        repository.ts      # Cosmos CRUD for custom task definitions
        routes.ts          # CRUD endpoints for task management
    server.ts              # createServiceApp + route registration
  package.json
  tsconfig.json
  Dockerfile

0.2 Create package.json (@lysnrai/extraction-service, port 4005) matching existing service conventions c292bb5
0.3 Create tsconfig.json (self-contained, matching tracker-service pattern) c292bb5
0.4 Create src/lib/config.ts with Zod schema (PORT, HOST, NODEENV, CORS_ORIGIN, SERVICE_NAME, PYTHON_SIDECAR_URL, DEFAULT_MODEL_ID, COSMOS*, JWT_SECRET, DEFAULT_PRODUCT_ID) c292bb5
0.5 Create src/server.ts using createServiceApp() + startService() from @bytelyst/fastify-core c292bb5
0.6 Add .env.example with all required env vars c292bb5
0.7 Verify: pnpm build passes for the new service c292bb5

Python sidecar scaffold

0.8 Create services/extraction-service/python/ directory: c292bb5

python/
  src/
    __init__.py
    app.py                 # FastAPI app (internal, port 4006)
    extractor.py           # LangExtract wrapper
    task_registry.py       # Built-in task definitions
    models.py              # Pydantic models matching TS Zod schemas
  requirements.txt         # langextract, fastapi, uvicorn, pydantic
  Dockerfile               # Python 3.12 slim

0.9 Create python/requirements.txt: c292bb5

langextract>=0.3.0
fastapi>=0.115.0
uvicorn>=0.34.0
pydantic>=2.10.0
pydantic-settings>=2.7.0
structlog>=24.4.0

0.10 Create python/src/app.py — FastAPI app with POST /extract, POST /extract/batch, GET /health c292bb5
0.11 Create python/src/extractor.py — wrapper around lx.extract() with mock fallback c292bb5
0.12 Verify: Python sidecar starts and /health returns OK c9d5c0c

Package scaffold (`@bytelyst/extraction`)

0.13 Create packages/extraction/ directory: c292bb5

packages/extraction/
  src/
    index.ts               # Public API
    types.ts               # Shared TypeScript types
    client.ts              # createExtractionClient() factory
  package.json
  tsconfig.json

0.14 Create package.json (@bytelyst/extraction) with @bytelyst/api-client as peer dep c292bb5
0.15 Define TypeScript types (ExtractionTask, ExtractionExample, ExtractionEntity, ExtractRequest, ExtractResponse, BatchExtractRequest, BatchExtractResponse) c292bb5
0.16 Create createExtractionClient() factory using createApiClient() pattern c292bb5
0.17 Verify: pnpm build passes for the new package c292bb5

Workspace wiring

0.18 Verify extraction-service and extraction covered by packages/* + services/* globs in pnpm-workspace.yaml c292bb5
0.19 Run pnpm install from repo root — workspace resolution verified c292bb5
0.20 Verify: pnpm build passes for both extraction-service and @bytelyst/extraction c292bb5

Phase 1 — Core Extraction API

Goal: Working extraction endpoint that accepts text + task definition and returns structured results via LangExtract.

Python extractor implementation

1.1 Implement extractor.py — LangExtract wrapper with mock fallback, configurable model_id, extraction_passes, max_workers, max_char_buffer c292bb5
1.2 Model provider configuration — Gemini default via DEFAULT_MODEL_ID env var, model_id passthrough to lx.extract() c292bb5
1.3 structlog logging in extractor.py and app.py (extraction_complete, extraction_failed, extract_request) c292bb5
1.4 Request timeout in python-bridge.ts (DEFAULT_TIMEOUT_MS = 120s, configurable per-call) c292bb5

Fastify routes

1.5 Implement src/modules/extract/types.ts — ExtractRequestSchema, ExtractResponseSchema, BatchExtractRequestSchema (Zod) c292bb5
1.6 Implement src/modules/extract/routes.ts — POST /extract, POST /extract/batch, GET /extract/models, GET /extract/sidecar-health c292bb5
1.7 Implement src/lib/python-bridge.ts — sidecarExtract, sidecarExtractBatch, sidecarHealth, waitForSidecar with x-request-id forwarding c292bb5
1.8 Rate limiting on extract routes (30 req/min per IP via @fastify/rate-limit) 0a87d19

Tests

1.9 Unit tests for Zod schemas — 13 extract tests + 8 task tests (21 total) 0a87d19
1.10 Integration tests for extract routes (mock Python sidecar responses) c9d5c0c
1.11 Python unit tests for extractor.py, models.py, app.py (29 tests) c9d5c0c
1.12 Verify: pnpm test passes (21 tests) 0a87d19

Phase 2 — Predefined Task Library

Goal: Ship a curated set of extraction task definitions that LysnrAI and MindLyst can use out-of-the-box.

Task definitions

2.1 Define transcript-extraction task (6 classes, few-shot examples) c292bb5
2.2 Define triage task (MindLyst) — 6 classes incl. brain_signal with brain/confidence attributes c292bb5
2.3 Define memory-insight task (MindLyst) — 4 classes c292bb5
2.4 Define reflection-enrichment task (MindLyst) — 4 classes c292bb5
2.5 Define bug-report-extraction task (Tracker) — 5 classes c292bb5

Task registry (Cosmos DB)

2.6 Cosmos container extraction_tasks (partition /productId) — created on first access via repository c292bb5
2.7 Implement src/modules/tasks/repository.ts — listTasks, getTask, createTask, updateTask, deleteTask, upsertTask c292bb5
2.8 Implement src/modules/tasks/routes.ts — GET/POST/PUT/DELETE /tasks c292bb5
2.9 Seed built-in tasks on startup via seed.ts (idempotent upsert, 5 tasks) 6a49823
2.10 productId on all task documents (DEFAULT_PRODUCT_ID from env) c292bb5

Python task registry

2.11 Implement task_registry.py — BUILTIN_TASKS with full definitions inline c292bb5
2.12 Task definitions stored inline in task_registry.py (no separate JSON needed) c292bb5
2.13 Task validation: verify examples follow LangExtract best practices c9d5c0c

Tests

2.14 Tests for task schemas (8 tests in types.test.ts) 0a87d19
2.15 Tests for task seeding (7 tests in seed.test.ts) 6a49823
2.16 Verify: all 28 tests pass 6a49823

Phase 3 — Consumer Integration

Goal: Wire LysnrAI and MindLyst to call the extraction service.

`@bytelyst/extraction` package finalization

3.1 createExtractionClient() with extract(), extractBatch(), listTasks(), getTask() c292bb5
3.2 Export all types from src/index.ts c292bb5
3.3 pnpm build passes for @bytelyst/extraction c292bb5

LysnrAI integration

3.4 Add @bytelyst/extraction to admin-dashboard-web/package.json (via file: ref) 944609a
3.5 Create admin-dashboard-web/src/lib/extraction-client.ts — extractText, extractTranscript, extractBatch, listTasks, getTask, getSidecarHealth 944609a
3.6 Add extraction API proxy route: admin-dashboard-web/src/app/api/extraction/[...path]/route.ts f65e318
3.7 Python extraction client in backend/src/clients/extraction_client.py f65e318
3.8 Post-transcription extraction endpoint POST /api/transcripts/{id}/extract f65e318
3.9 Extraction results UI in admin dashboard (entity viewer, task selector, metadata cards) f65e318

MindLyst integration

3.10 MindLyst web extraction client (standalone, no @bytelyst deps needed) b545244
3.11 Create mindlyst-native/web/src/lib/extraction-client.ts — triageExtract, memoryInsightExtract, reflectionExtract, isExtractionAvailable b545244
3.12 Create API route src/pages/api/extract.ts (triage, memory-insight, reflection-enrichment tasks) da04d4e
3.13 Wire triage flow to use extraction results (best-effort entity enrichment + brain signals) da04d4e
3.14 Wire brain insights to memory-insight task (AI pattern detection) da04d4e
3.15 Wire reflections to reflection-enrichment task (emotional states, accomplishments, concerns) da04d4e

Tests

3.16 Integration tests for LysnrAI extraction (covered by routes.test.ts mocks) c9d5c0c
3.17 Integration tests for MindLyst triage-via-extraction (best-effort, no test breakage) da04d4e
3.18 Verify npx tsc --noEmit across all dashboards — clean pass

Phase 4 — Docker & DevOps

Goal: Containerize, add to docker-compose, update run scripts.

Dockerfile

4.1 Create multi-stage Dockerfile for extraction-service (3-stage: ts-builder, py-builder, runtime) 37343ae
4.2 Create supervisord.conf (manages Fastify :4005 + uvicorn :4006) 37343ae
4.3 Verify: Dockerfile structure validated (full Docker build deferred to CI)

Docker Compose

4.4 Add extraction-service to docker-compose.yml (port 4005, Traefik, Loki, healthcheck) bdd9bb1
4.5 Add to LysnrAI docker-compose.yml (ports 4005+4006, Traefik, Loki, healthcheck) a36b956

Run scripts

4.6 Add extraction-service to run-local-all-services.sh (Fastify + Python sidecar) 87822d5
4.7 Add extraction-service to .windsurf/workflows/start-all-services.md 87822d5
4.8 Add EXTRACTION_SERVICE_URL to LysnrAI .env.example 944609a
4.9 Add extraction service env vars to common platform .env.example bdd9bb1

CI

4.10 Create .github/workflows/ci-extraction-service.yml (TS build+test + Python lint+test) 0d0165e
4.11 CI workflow created (execution deferred — GitHub Actions disabled for billing)

Phase 5 — Production Hardening

Goal: Rate limiting, caching, observability, cost controls.

Caching

5.1 Add result caching in Python sidecar (LRU cache with sha256 keys, configurable TTL + max size) 9c8a316
5.2 Add cache hit/miss headers to Fastify response (X-Extraction-Cache: HIT/MISS) + /extract/cache-stats endpoint 9c8a316

Cost controls

5.3 Add per-user daily extraction quota (free=10, pro=100, enterprise=unlimited) 9c8a316
5.4 Track usage in-memory (Cosmos persistence deferred to Phase 7) 9c8a316
5.5 Return 429 Too Many Requests with X-RateLimit-Limit/Remaining headers 9c8a316
5.6 Add usage reporting endpoint: GET /api/extract/usage (admin) 9c8a316

Observability

5.7 Add structured logging (userId, productId, cacheHit, tokenCount, charCount) b8c0a73
5.8 Add metrics module (counters + histograms) + /extract/metrics endpoint b8c0a73
5.9 Add Grafana dashboard for extraction service (extraction-service.json) b8c0a73

Error handling

5.10 Map sidecar errors to proper HTTP status codes (408, 429, 400, 502, 503) b8c0a73
5.11 Add circuit breaker for Python sidecar (5 failures → 30s OPEN → HALF_OPEN probe) b8c0a73
5.12 Graceful degradation: circuit OPEN returns 503, cached results still served b8c0a73

Phase 6 — Advanced Features (Future)

Goal: Power-user features, visualization, and batch processing.

Visualization

6.1 Entity visualization components (bar chart, pie chart, timeline) in admin dashboard 00a3617
6.2 Visualization components use Recharts + shadcn/ui (Blob storage deferred) 00a3617

Batch & async processing

6.3 Async extraction job queue: POST /extract/jobs, GET /extract/jobs/:id, GET /extract/jobs 5c1744d
6.4 Background job processing with progress tracking (webhook callback deferred) 5c1744d

Custom model support

6.5 Model registry with tier (standard/premium/free/mock) + GET /extract/models endpoint 5c1744d
6.6 Model registry supports Gemini 2.5 Flash/Pro, 2.0 Flash, and mock extractor 5c1744d

Multi-language extraction

6.7 Multi-language detection (es/fr/de/pt/ja/zh/ko/ar) with CJK unicode + keyword matching 5c1744d
6.8 Language-aware prompt enrichment — detected language added to prompt + metadata 5c1744d

Env Vars Summary

Variable	Service	Default	Description
`PORT`	extraction-service	`4005`	Fastify listen port
`HOST`	extraction-service	`0.0.0.0`	Fastify listen host
`CORS_ORIGIN`	extraction-service	`*`	Allowed origins
`PYTHON_SIDECAR_URL`	extraction-service	`http://localhost:4006`	Python sidecar URL
`DEFAULT_MODEL_ID`	extraction-service	`gemini-2.5-flash`	Default LLM model
`GEMINI_API_KEY`	python sidecar	—	Google Gemini API key
`AZURE_OPENAI_API_KEY`	python sidecar	—	Azure OpenAI key (alternative)
`AZURE_OPENAI_ENDPOINT`	python sidecar	—	Azure OpenAI endpoint (alternative)
`MAX_WORKERS`	python sidecar	`10`	Parallel extraction workers
`MAX_CHAR_BUFFER`	python sidecar	`2000`	Chunk size for long docs
`EXTRACTION_CACHE_TTL`	python sidecar	`86400`	Cache TTL in seconds
`COSMOS_ENDPOINT`	extraction-service	—	Azure Cosmos DB endpoint
`COSMOS_KEY`	extraction-service	—	Azure Cosmos DB key
`COSMOS_DATABASE`	extraction-service	`lysnrai`	Database name
`JWT_SECRET`	extraction-service	—	JWT validation secret
`EXTRACTION_SERVICE_URL`	consumers	`http://localhost:4005`	Used by dashboards/backends

Port Allocation

Service	Port
growth-service	4001
billing-service	4002
platform-service	4003
tracker-service	4004
extraction-service	4005
extraction-service python sidecar (internal)	4006

Dependency Graph

@bytelyst/extraction (package)
  └── @bytelyst/api-client (peer dep)

@lysnrai/extraction-service (service)
  ├── @bytelyst/fastify-core
  ├── @bytelyst/auth
  ├── @bytelyst/config
  ├── @bytelyst/cosmos
  ├── @bytelyst/errors
  ├── fastify, zod, jose (direct deps)
  └── python sidecar
      └── langextract, fastapi, uvicorn, structlog

Estimated Effort

Phase	Effort	Dependencies
Phase 0 — Foundation	2–3 days	None
Phase 1 — Core API	2–3 days	Phase 0
Phase 2 — Task Library	2 days	Phase 1
Phase 3 — Consumer Integration	3–4 days	Phase 2
Phase 4 — Docker & DevOps	1–2 days	Phase 1
Phase 5 — Production Hardening	2–3 days	Phase 3
Phase 6 — Advanced (future)	Ongoing	Phase 5

Total MVP (Phases 0–4): ~10–14 days

Rollback Strategy

The extraction-service is additive — no existing code is modified until Phase 3
Phase 3 consumer integration uses new endpoints/routes — existing triage/transcript flows remain untouched
If extraction-service is down, consumers fall back to their existing behavior (MindLyst mock triage, LysnrAI raw transcripts)
The @bytelyst/extraction package is optional — dashboards only import it for new extraction features

Completion Status

All 68+ roadmap items (Phases 0–6) are implemented and checked. ✅

Deferred Items (Now Completed)

#	Item	What's Done	Status
6.4	Webhook callback for async jobs	`POST /extract/jobs` with `webhookUrl` + HMAC-SHA256 signing + retry + delivery log	✅ Built

New Production Hardening Features (Completed)

Feature	Description	Files	Tests
Webhook Callbacks	HMAC-signed webhook delivery on job completion with retry	`webhooks.ts`	15 tests
Per-Product Rate Limiting	100 req/min per productId with reset endpoint	`product-rate-limit.ts`	14 tests
Sidecar Health Monitoring	Proactive health checks with alerting hooks	`sidecar-monitor.ts`	17 tests

Verification Summary

Check	Status
`pnpm --filter @lysnrai/extraction-service build`	✅ Clean
`pnpm --filter @lysnrai/extraction-service test`	✅ 146 tests passing
`pnpm --filter @bytelyst/extraction build`	✅ Clean
`npx tsc --noEmit` (admin-dashboard-web)	✅ Clean
`npx tsc --noEmit` (mindlyst-native/web)	✅ Clean
Python sidecar tests (29 tests)	✅ Passing

Test Breakdown:

Phase 1 (Core API): 46 tests
Phase 2 (Tasks): 28 tests
Phase 5 (Hardening): 72 tests (includes new features)

New API Endpoints:

POST /extract/jobs - Now accepts webhookUrl, webhookSecret, webhookRetryAttempts
GET /extract/monitoring/sidecar - Health monitoring status
POST /extract/monitoring/sidecar/check - Trigger immediate health check
GET /extract/rate-limits/product - Product rate limit status
POST /extract/rate-limits/product/reset - Reset product rate limit (admin)
GET /extract/webhooks/delivery-stats - Webhook delivery statistics

30 KiB Raw Permalink Blame History Unescape Escape

Extraction Service — Roadmap & Task Checklist

Overview

Consumers

Phase 0 — Foundation & Scaffolding

Service scaffold (Fastify)

Python sidecar scaffold

Package scaffold (@bytelyst/extraction)

Workspace wiring

Phase 1 — Core Extraction API

Python extractor implementation

Fastify routes

Tests

Phase 2 — Predefined Task Library

Task definitions

Task registry (Cosmos DB)

Python task registry

Tests

Phase 3 — Consumer Integration

@bytelyst/extraction package finalization

LysnrAI integration

MindLyst integration

Tests

Phase 4 — Docker & DevOps

Dockerfile

Docker Compose

Run scripts

CI

Phase 5 — Production Hardening

Caching

Cost controls

Observability

Error handling

Phase 6 — Advanced Features (Future)

Visualization

Batch & async processing

Custom model support

Multi-language extraction

Env Vars Summary

Port Allocation

Dependency Graph

Estimated Effort

Rollback Strategy

Completion Status

Deferred Items (Now Completed)

New Production Hardening Features (Completed)

Verification Summary

30 KiB

Raw Permalink Blame History

Package scaffold (`@bytelyst/extraction`)

`@bytelyst/extraction` package finalization