Files

4.3 KiB

phase, plan, type, wave, depends_on, files_modified, autonomous, requirements, must_haves
phase plan type wave depends_on files_modified autonomous requirements must_haves
06-web-chat 03 execute 2
06-01
06-02
false
CHAT-01
CHAT-02
CHAT-03
CHAT-04
CHAT-05
truths artifacts key_links
End-to-end chat works: user sends message via WebSocket, receives LLM response
Conversation history persists and loads on page revisit
Typing indicator appears during response generation
Markdown renders correctly in agent responses
RBAC enforced: operator can chat, but cannot see admin-only nav items
Platform admin can chat with agents across tenants
Human verification of the complete web chat feature. Test end-to-end flow, RBAC enforcement, conversation persistence, and UX quality.

Purpose: Confirm all CHAT requirements are met before marking Phase 6 complete. Output: Verified working chat feature.

<execution_context> @/home/adelorenzo/.claude/get-shit-done/workflows/execute-plan.md @/home/adelorenzo/.claude/get-shit-done/templates/summary.md </execution_context>

@.planning/phases/06-web-chat/06-01-SUMMARY.md @.planning/phases/06-web-chat/06-02-SUMMARY.md Task 1: Verify end-to-end web chat feature Present the following verification checklist to the user. This is a human verification checkpoint — no code changes needed.
What was built:
- WebSocket-based real-time chat in the portal at /chat
- Conversation sidebar with agent list, timestamps, message previews
- Message bubbles with markdown rendering and typing indicators
- Full agent pipeline integration (memory, tools, escalation, audit)
- Conversation history persistence in PostgreSQL
- RBAC enforcement (all roles can chat, scoped to accessible tenants)

Prerequisites:
- Docker Compose stack running (gateway, orchestrator, portal, postgres, redis)
- At least one active agent configured for a tenant
- Migration applied: `alembic upgrade head`

Test 1 — Basic Chat (CHAT-01, CHAT-05):
1. Log in to portal as customer_admin
2. Click "Chat" in the sidebar navigation
3. Click "New Conversation" and select an AI Employee
4. Type a message and press Enter
5. Verify: typing indicator (animated dots) appears immediately
6. Verify: agent response appears as a left-aligned message bubble
7. Verify: your message appears right-aligned

Test 2 — Markdown Rendering (CHAT-05):
1. Send a message that triggers a formatted response (e.g., "Give me a bulleted list of 3 tips")
2. Verify: response renders with proper markdown (bold, lists, code blocks)

Test 3 — Conversation History (CHAT-03):
1. After sending a few messages, navigate away from /chat (e.g., go to /dashboard)
2. Navigate back to /chat
3. Verify: previous conversation appears in sidebar with last message preview
4. Click the conversation
5. Verify: full message history loads (all previous messages visible)

Test 4 — RBAC (CHAT-04):
1. Log in as customer_operator
2. Verify: "Chat" link visible in sidebar
3. Navigate to /chat, start a conversation with an agent
4. Verify: chat works (operators can chat)
5. Verify: admin-only nav items (Billing, API Keys, Users) are still hidden

Test 5 — Full Pipeline (CHAT-02):
1. If the agent has tools configured, send a message that triggers tool use
2. Verify: agent invokes the tool and incorporates the result
3. (Optional) If escalation rules are configured, trigger one and verify handoff message
Human confirms all 5 test scenarios pass User types "approved" confirming end-to-end web chat works correctly across all CHAT requirements All 5 test scenarios pass as described above.

<success_criteria>

  • Human confirms end-to-end chat works with real LLM responses
  • Conversation history persists across page navigations
  • Typing indicator visible during response generation
  • Markdown renders correctly
  • RBAC correctly scopes agent access
  • All three roles (platform_admin, customer_admin, customer_operator) can chat </success_criteria>
After completion, create `.planning/phases/06-web-chat/06-03-SUMMARY.md`