--- phase: 02-agent-features plan: 03 type: execute wave: 1 depends_on: [] files_modified: - packages/gateway/gateway/channels/whatsapp.py - packages/gateway/gateway/normalize.py - packages/gateway/gateway/main.py - packages/shared/shared/models/message.py - packages/shared/shared/config.py - packages/orchestrator/orchestrator/agents/runner.py - packages/orchestrator/orchestrator/tasks.py - migrations/versions/004_phase2_media.py - tests/unit/test_whatsapp_verify.py - tests/unit/test_whatsapp_normalize.py - tests/unit/test_whatsapp_scoping.py autonomous: true requirements: - CHAN-03 - CHAN-04 must_haves: truths: - "A WhatsApp message to the AI employee produces a reply in the same WhatsApp conversation" - "Webhook signature is verified via HMAC-SHA256 on raw body bytes before any JSON parsing" - "Per-tenant phone number isolation — each tenant's WhatsApp connection uses its own phone_number_id" - "Clearly off-topic messages get a canned rejection without an LLM call (tier 1 allowlist gate)" - "Borderline messages are handled by the LLM with business-function scoping in the system prompt (tier 2)" - "Media attachments (images, documents) are downloaded, stored in MinIO, and passed to the orchestrator" artifacts: - path: "packages/gateway/gateway/channels/whatsapp.py" provides: "WhatsApp webhook handler, signature verification, message sending" exports: ["whatsapp_router"] - path: "packages/gateway/gateway/normalize.py" provides: "normalize_whatsapp_event function alongside existing Slack normalizer" exports: ["normalize_whatsapp_event"] - path: "packages/shared/shared/models/message.py" provides: "MediaAttachment model added to MessageContent" contains: "class MediaAttachment" key_links: - from: "packages/gateway/gateway/channels/whatsapp.py" to: "gateway/normalize.py" via: "normalize_whatsapp_event called after signature verification" pattern: "normalize_whatsapp_event" - from: "packages/gateway/gateway/channels/whatsapp.py" to: "router/tenant.py" via: "resolve_tenant with phone_number_id as workspace_id" pattern: "resolve_tenant" - from: "packages/gateway/gateway/channels/whatsapp.py" to: "Celery handle_message task" via: "handle_message.delay() after normalization" pattern: "handle_message\\.delay" --- Build the WhatsApp Business Cloud API adapter in the Channel Gateway: webhook verification, signature checking, message normalization to KonstructMessage, business-function scoping gate, media handling, and outbound message delivery. Extend the shared message model with typed media attachments. Purpose: Adds the second messaging channel, enabling SMBs to deploy their AI employee on WhatsApp — the most common business communication channel globally. Output: WhatsApp adapter, media model extension, business-function scoping, passing tests. @/home/adelorenzo/.claude/get-shit-done/workflows/execute-plan.md @/home/adelorenzo/.claude/get-shit-done/templates/summary.md @.planning/PROJECT.md @.planning/ROADMAP.md @.planning/STATE.md @.planning/phases/02-agent-features/02-CONTEXT.md @.planning/phases/02-agent-features/02-RESEARCH.md @packages/gateway/gateway/channels/slack.py @packages/gateway/gateway/normalize.py @packages/gateway/gateway/main.py @packages/shared/shared/models/message.py @packages/shared/shared/config.py @packages/router/router/tenant.py @packages/router/router/ratelimit.py @packages/router/router/idempotency.py Channel adapter sequence (from Phase 1): 1. Receive webhook -> verify signature 2. Normalize to KonstructMessage 3. resolve_tenant(workspace_id) -> tenant_id 4. check_rate_limit(tenant_id, channel) 5. is_duplicate(message_id) -> skip if True 6. Post placeholder / typing indicator 7. handle_message.delay(msg_payload) From packages/shared/shared/models/message.py: - KonstructMessage: id, tenant_id, channel, channel_metadata, sender, content, timestamp, thread_id, reply_to, context - MessageContent: text, html, attachments (list[dict]), mentions (list[str]) - SenderInfo: user_id, display_name, role - ChannelType: slack (needs 'whatsapp' added) From packages/router/router/tenant.py: - resolve_tenant(workspace_id: str, session) -> str (tenant_id) - workspace_id for WhatsApp = phone_number_id from channel_connections From packages/shared/shared/config.py: - Settings class with pydantic-settings - Need to add: whatsapp_app_secret, whatsapp_verify_token Task 1: Media model extension, WhatsApp normalizer, and signature verification with tests packages/shared/shared/models/message.py, packages/gateway/gateway/normalize.py, packages/shared/shared/config.py, tests/unit/test_whatsapp_verify.py, tests/unit/test_whatsapp_normalize.py - MediaAttachment has media_type (image|document|audio|video), url, storage_key, mime_type, filename, size_bytes - MessageContent.media is a list[MediaAttachment] (new field, defaults to []) - ChannelType enum includes 'whatsapp' - normalize_whatsapp_event converts Meta webhook payload to KonstructMessage with correct field mapping - normalize_whatsapp_event extracts media attachments (image/document) into MediaAttachment objects - normalize_whatsapp_event sets channel='whatsapp', sender.user_id=wa_id, thread_id=wa_id (WhatsApp has no threads) - verify_whatsapp_signature raises HTTPException(403) when signature is invalid - verify_whatsapp_signature returns raw body bytes when signature is valid - verify_whatsapp_signature uses hmac.compare_digest for timing-safe comparison - WhatsApp webhook GET verification returns hub.challenge when token matches - WhatsApp webhook GET verification returns 403 when token doesn't match 1. Extend `packages/shared/shared/models/message.py`: - Add MediaType(StrEnum): IMAGE, DOCUMENT, AUDIO, VIDEO - Add MediaAttachment(BaseModel): media_type, url (str|None), storage_key (str|None), mime_type (str|None), filename (str|None), size_bytes (int|None) - Add `media: list[MediaAttachment] = []` field to MessageContent - Add 'whatsapp' to ChannelType enum 2. Extend `packages/shared/shared/config.py`: - Add whatsapp_app_secret: str = "" and whatsapp_verify_token: str = "" to Settings 3. Create `normalize_whatsapp_event()` in normalize.py: - Takes: parsed webhook JSON body (dict) - Extracts: entry[0].changes[0].value — this is the Meta Cloud API v20.0 structure - Maps: messages[0].from -> sender.user_id, messages[0].text.body -> content.text - For media messages (type=image/document): extract media_id, set MediaAttachment with media_type and a placeholder URL (actual download happens in the adapter) - Sets channel='whatsapp', thread_id=sender_wa_id (WhatsApp conversations are per-phone-number, not threaded) - Sets channel_metadata with phone_number_id, message_id from webhook 4. Write tests: - test_whatsapp_verify.py: Valid signature passes, invalid signature raises 403, timing-safe comparison used - test_whatsapp_normalize.py: Text message normalizes correctly, image message normalizes with MediaAttachment, correct field mapping for sender/channel/metadata Note: Use `hmac.new()` not `hmac.HMAC()` for signature verification. Read raw body via `await request.body()` BEFORE any JSON parsing (Pitfall 5 from research). cd /home/adelorenzo/repos/konstruct && python -m pytest tests/unit/test_whatsapp_verify.py tests/unit/test_whatsapp_normalize.py -x -v - MediaAttachment model exists with typed media fields - MessageContent has media list field - WhatsApp events normalize to KonstructMessage with correct mapping - Signature verification is timing-safe and works on raw bytes - ChannelType includes 'whatsapp' Task 2: WhatsApp adapter with business-function scoping, media handling, and outbound delivery packages/gateway/gateway/channels/whatsapp.py, packages/gateway/gateway/main.py, tests/unit/test_whatsapp_scoping.py - is_clearly_off_topic returns True for messages with zero keyword overlap with allowed_functions - is_clearly_off_topic returns False for messages containing keywords from allowed_functions - Off-topic messages receive a canned redirect response mentioning the agent name and allowed topics - Borderline messages (not clearly off-topic) pass through to the LLM with scoping in system prompt - WhatsApp webhook POST processes messages through the full adapter sequence (verify -> normalize -> resolve_tenant -> rate_limit -> dedup -> scoping -> dispatch) - send_whatsapp_message sends text via Meta Cloud API POST to /v20.0/{phone_number_id}/messages - send_whatsapp_media sends image/document via Meta Cloud API with media_id or URL - Media download fetches from Meta API (GET /media/{media_id}) and stores to MinIO with tenant-prefixed key 1. Create `packages/gateway/gateway/channels/whatsapp.py`: - whatsapp_router = APIRouter() - GET /whatsapp/webhook — verification handshake: check hub.mode=="subscribe" and hub.verify_token matches settings, return hub.challenge as PlainTextResponse - POST /whatsapp/webhook — inbound message handler: a. Read raw body via request.body() BEFORE parsing b. Verify HMAC-SHA256 signature (X-Hub-Signature-256 header) c. Parse JSON from raw body d. Skip non-message events (status updates, read receipts — check for messages key) e. Normalize via normalize_whatsapp_event() f. Resolve tenant via phone_number_id as workspace_id (same resolve_tenant function as Slack) g. Check rate limit (reuse existing check_rate_limit) h. Check idempotency (reuse is_duplicate/mark_processed) i. Business-function scoping check (see below) j. If media: download from Meta API, upload to MinIO with key {tenant_id}/{agent_id}/{message_id}/{filename}, update MediaAttachment.storage_key and .url (presigned URL) k. Dispatch handle_message.delay() with msg payload + extras (bot_token from channel_connections.config['access_token'], phone_number_id) - Always return 200 OK to Meta (even on errors — Meta retries on non-200) 2. Business-function scoping (two-tier gate per user decision): - Tier 1: is_clearly_off_topic(text, allowed_functions) — simple keyword overlap check. If zero overlap with any allowed function keywords, return True. Agent's allowed_functions come from Agent model (add `allowed_functions: list[str] = []` field if not present, or use agent.tools as proxy). - If clearly off-topic: send canned redirect via send_whatsapp_message: "{agent.name} is here to help with {', '.join(allowed_functions)}. How can I assist you with one of those?" - Tier 2: Borderline messages pass to the LLM. The scoping is enforced via the system prompt (which already contains the agent's role and persona). Add to system prompt builder: if channel == 'whatsapp', append "You only handle: {allowed_functions}. If a request is outside these areas, politely redirect the user." 3. Outbound message delivery: - async send_whatsapp_message(phone_number_id, access_token, recipient_wa_id, text) -> None - POST to https://graph.facebook.com/v20.0/{phone_number_id}/messages with messaging_product="whatsapp", to=recipient_wa_id, type="text", text={"body": text} - async send_whatsapp_media(phone_number_id, access_token, recipient_wa_id, media_url, media_type) for outbound media 4. Wire into orchestrator tasks.py: - In handle_message task, after getting LLM response, check channel type - If 'whatsapp': call send_whatsapp_message via httpx (same pattern as Slack chat.update — bot token from extras) - If 'slack': existing chat.update flow 5. Install boto3 for MinIO: `uv add boto3` in gateway package. Use endpoint_url=settings.minio_endpoint for S3-compatible MinIO access. 6. Register whatsapp_router in gateway main.py: `app.include_router(whatsapp_router)` 7. Write test_whatsapp_scoping.py: - Test is_clearly_off_topic with matching keywords -> False - Test is_clearly_off_topic with zero overlap -> True - Test canned redirect message format includes agent name and allowed functions - Test borderline message passes through (not rejected by tier 1) cd /home/adelorenzo/repos/konstruct && python -m pytest tests/unit/test_whatsapp_verify.py tests/unit/test_whatsapp_normalize.py tests/unit/test_whatsapp_scoping.py -x -v - WhatsApp webhook handler processes inbound messages through full adapter sequence - Signature verification on raw body bytes before JSON parsing - Business-function scoping: tier 1 rejects clearly off-topic, tier 2 scopes via system prompt - Media downloaded from Meta API and stored in MinIO with tenant-prefixed keys - Outbound messages sent via Meta Cloud API - Gateway routes registered and running - Canned redirect includes agent name and allowed topics - All Phase 1 tests still pass: `pytest tests/ -x` - WhatsApp tests pass: `pytest tests/unit/test_whatsapp_verify.py tests/unit/test_whatsapp_normalize.py tests/unit/test_whatsapp_scoping.py -x` - Gateway starts without errors with new routes registered - WhatsApp messages are normalized to KonstructMessage and dispatched through the existing pipeline - Webhook signature verification prevents unauthorized requests - Business-function scoping enforces Meta 2026 policy (tier 1 keyword gate + tier 2 LLM scoping) - Media attachments are downloaded, stored in MinIO, and available for multimodal LLM processing - Per-tenant phone number isolation via phone_number_id in channel_connections After completion, create `.planning/phases/02-agent-features/02-03-SUMMARY.md`