37c4e0c99e7063f77949d5ef339687bbac33fdb8
20 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
| 1c904373f8 |
Merge main into feat/flowpilot-migration
Brings in PR #141 (PSA ticket management) so FlowPilot can ship on top of a unified main. Two manual conflict resolutions: 1. CLAUDE.md — kept the FlowPilot ai-handoff rewrite (`.ai/`-driven protocol). The pre-rewrite reference content (CW integration notes, lessons archive, env vars table) lives in `docs/connectwise/`, `docs/LESSONS-ARCHIVE.md`, and DEV-ENV.md by design. 2. frontend/src/pages/AssistantChatPage.tsx — both conflict regions were purely additive. Concatenated FlowPilot's Phase 2-9 state hooks (facts, activeFix, preview*, scriptPanelOpen, templatizeQueue) with PSA's spin-off ticket state (linkedTicket, showNewTicket, spinOffHint). Both modal mounts (TemplatizePrompt, ShortcutsHelpOverlay, NewTicketModal) kept. All setters wired by either branch are intact. Verification: - `tsc -b` clean across the merged tree. - Browser smoke-test (Session B fixture): Phase 9 ProposalBanner ("Run AI-drafted PowerShell to recover SSL VPN") renders alongside PSA's new Tickets sidebar icon. Console clean. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| 2cde6673b0 |
feat(pilot): [FIX_OUTCOME] system prompt instructions
Tells the AI when + how to emit the [FIX_OUTCOME] marker that Task 4's parser consumes. Placeholder-only per the anti-parrot pattern — no literal UUIDs, outcomes, or reasons that could leak into unrelated sessions. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| d0ebdef9e8 |
fix(ai): full-sweep audit — placeholders only in system prompts + CI guardrail
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The "AI parrots example content from system prompt" bug bit us twice in one day across two different prompt sites. Patching individual prompts is treating the symptom; this commit makes the rule structural. Audit + sanitize: - assistant_chat_service.ASSISTANT_SYSTEM_PROMPT — already cleaned in prior commits, but the [FORK] schema still had literal "Brief reason" / "Short name" / "One sentence" placeholders. Replaced with <angle-bracket> placeholders. Anti-parrot rule itself rewritten to describe the failure mode abstractly instead of naming "jsmith" so the rule no longer trips the guardrail (and so the model doesn't see "jsmith" as a token at all). - ai_chat_service.py — removed three concrete-example offenders: "Get-Service ADSync" command literal, the "DC01 server_name" intake form payload (in two places), and the inline interview demos using "Azure AD Sync failures" / "Exchange Online mailbox migration". Replaced with technology-neutral schema descriptions. - ai_tree_generator_service.BRANCH_DETAIL_SYSTEM_PROMPT — replaced the fully-fleshed DNS troubleshooting tree (with literal Dnscache / ipconfig / google.com / Start-Service) with a placeholder schema showing only ID-linkage shape. - kb_conversion_service.PROCEDURAL_SYSTEM_PROMPT — replaced the worked Server Manager + DC01 example payload with a placeholder schema. Guardrail (tests/test_prompt_anti_parrot.py): - Imports every module under app/services/ and app/core/ and walks every uppercase string constant ending in _PROMPT, _SCHEMA, _PROTOCOL, _FORMAT, or _CONTEXT. - test 1: known-leaked-token list (jsmith, DC01, ADSync, Dnscache, google.com, "Outlook keeps", "Teams drops") must not appear in any prompt constant. Add to the list when a new leak shows up in prod — the list IS the audit trail. - test 2: marker blocks ([QUESTIONS], [ACTIONS], [SUGGEST_FIX], etc.) must contain placeholders only. Distinguishes JSON keys (followed by ':', allowed) from JSON values (followed by ',' / ']' / '}', must be <placeholder>); allows pipe-separated enum types (text|password|select) and a small set of fixed enum values (question, diagnostic_check, decision, action, ...). Verified by feeding the test a known-bad block — caught it correctly. Documented the rule in CLAUDE.md → AI / FlowPilot lessons, naming the test as the enforcement point so future contributors know how to extend it (add to the known-leaked list when a new leak surfaces). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| 50215b9110 |
fix(pilot): strip literal example content from system prompt — model was parroting
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The system prompt had a "Complete example of a correct first response" section with a specific Outlook/WiFi/jsmith scenario plus literal JSON payloads in [QUESTIONS], [ACTIONS], [SUGGEST_FIX], and [PROMOTE] markers. The model was emitting those literal strings (the same WiFi/laptop questions, the same "Clear cached credentials" suggested fix, the same "OWA login confirmed for jsmith" promote) on EVERY unrelated chat — making the task lane look like it was leaking previous- session data when in fact the AI was just reciting the prompt examples. Replaced literal example content with `<placeholder>` schemas. Added an explicit ANTI-PARROT RULE in the FINAL REMINDER section calling out that the angle-bracket placeholders show SHAPE, not CONTENT, with concrete examples of the failure mode (printer ticket → don't ask about Outlook; user not named jsmith → don't name jsmith). Same scrub applied to the FORK section's "Outlook AND Teams dropping" and the worked fork-flow example. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| 66e592096c |
feat(pilot): Phase 3 — Suggested fix tracking + Resolve preview with state_version cache
Adds the AI-proposed resolution path and the inline preview of the
markdown that will be posted to the customer ticket on Resolve. The
preview is keyed on (session_id, ai_sessions.state_version) so back-to-
back fetches against unchanged state hit an in-process cache instead
of paying for a Sonnet call.
Backend:
- preview_cache: in-process LRU keyed on (kind, session_id, state_version).
No TTL — state_version is the source of truth. Soft-cap 5000 entries.
- unified_chat_service: [SUGGEST_FIX] parser (last-block-wins, JSON
payload, confidence clamped 0-100), supersession persistence (sets
superseded_at on prior active row), atomic state_version bump.
- ResolutionNoteGeneratorService: pulls session, facts, active fix, and
redacted script_generations into a structured input bundle for Sonnet;
produces the four-section markdown (Problem / What we confirmed /
Root cause / Resolution). Sensitive script parameters redacted via
ScriptTemplateEngine.redact_sensitive driven by the template's
parameters_schema.
- /api/v1/ai-sessions/{id}/suggested-fixes/active — 200 with the active
fix or 404.
- /api/v1/ai-sessions/{id}/suggested-fixes/{fix_id}/decision — records
one_off / draft_template / build_template / dismissed; dismiss
supersedes; bumps state_version. 409 on dismissing an already-
superseded fix.
- /api/v1/ai-sessions/{id}/resolution-note/preview — generates or returns
cached markdown; from_cache flag in payload signals cache hit.
- scripts.py POST /generate now bumps state_version on the linked
ai_session_id when present (third source of preview-cache invalidation
per Section 5.5).
- ASSISTANT_SYSTEM_PROMPT documents [SUGGEST_FIX] (when to/not to emit,
format, supersession semantics).
- 12 tests covering the parser (well-formed, last-wins, malformed,
confidence clamping), supersession + state_version invariant, all
decision branches, preview cache hit-on-no-change + miss-after-write.
Frontend:
- src/components/pilot/sections/SuggestedFix.tsx — amber-accented card
with confidence badge; dismiss action wired to the decision endpoint.
- src/components/pilot/ResolutionNotePreview.tsx — popover with refresh,
loading state, cached/fresh indicator, ticket-ref display.
- src/api/sessionSuggestedFixes.ts — typed client; getActive normalizes
404 to null so callers don't have to special-case.
- TaskLane gains suggestedFixSlot + bottomSlot props (rendered after
Diagnostic Checks; bottomSlot anchors the Resolve action).
- AssistantChatPage: refreshSessionDerived helper batches fact + fix
refresh; fact mutations and chat sends both schedule a 500ms-debounced
preview refresh per the Section 5.5 spec.
Verified end-to-end against the dev stack with a real Sonnet call:
- /active 404 → fact create → preview generates four-section markdown
grounded only in provided facts → second preview call hits cache
(from_cache=true, no LLM call) → fact write 2 → cache miss, regenerates.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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| 625dba7548 |
feat(pilot): Phase 2 — What we know (facts) with stable task-lane IDs
Adds the load-bearing structural feature of the FlowPilot migration: a
"What we know" panel that holds confirmed facts for a session, fed by AI
[PROMOTE] markers and engineer-added notes. Facts feed the resolution
note preview (Phase 3) and survive across turns via stable UUIDs assigned
to pending_task_lane items.
Backend:
- FactSynthesisService: create/update/soft-delete facts with atomic
state_version bumps; LLM-backed synthesize_from_question/check on the
fact_synthesis (Haiku) action tier per Section 6.6.
- /api/v1/ai-sessions/{id}/facts CRUD + /facts/promote (proposed_text or
via synthesis). PATCH returns 403 for question/diagnostic_check facts
(edit the source item instead, Section 7.3).
- unified_chat_service: [PROMOTE] marker parser (JSON-block per Section
8.1 spec drift note), stable-UUID assignment for pending_task_lane
questions/actions preserved by exact text/label match across turns.
- ASSISTANT_SYSTEM_PROMPT: documents [PROMOTE] format, when to/not to
emit, hallucination guardrails, source_ref handling.
- 17 tests covering parser, stable IDs, service validation, CRUD,
editability rule, both promote modes, 422 null-synthesis path,
state_version invariant.
Frontend:
- src/components/pilot/sections/{WhatWeKnow,WhatWeKnowItem,AddNoteButton}
— green-gradient section above Questions, dashed-circle check, inline
edit/delete gated by the server's editable flag.
- TaskLane gains a whatWeKnowSlot prop (existing assistant/ folder kept
per the doc's "rename is opportunistic" guidance).
- AssistantChatPage fetches facts on selectChat and refetches after each
chat send (so [PROMOTE]-synthesized facts appear immediately); auto-
opens the lane when facts exist.
Verification: end-to-end smoke against the local docker stack confirms
all five endpoints (list/create/patch/delete/promote) plus the 403
editability rule. pytest suite verifies the same with mocked LLM. Live
[PROMOTE] flow remains untested until used in the UI — the marker shape
is covered by parser tests.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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| 3f0a132058 |
refactor(ai): rename _call_anthropic_cached → chat_call_cached; extract cache plumbing (Phase 0.4)
Renames the chat caller to a name that signals its actual purpose, and factors the reusable cached-system-block + cached-history + cache-usage-log primitives out to app.core.ai_provider so they can be shared with the provider-generic path without pulling MCP/beta/images into the abstract interface. Helpers added to ai_provider.py: - `build_anthropic_chat_messages(history, new_message, images, format_reminder)` — owns: copy history, apply cache_control to last history message, append format reminder to new message, render images as multimodal blocks. Anthropic-shaped by design; do not call from Gemini paths. chat_call_cached keeps exactly the concerns that are unique to the one MCP/beta/multimodal chat caller: - Anthropic beta endpoint invocation - Microsoft Learn MCP server wiring (ENABLE_MCP_MICROSOFT_LEARN) - Retry-without-MCP fallback - Format-reminder content string (declared as module constant) - Phase 0.5 telemetry (mcp.turn, mcp.fallback) Documents in the module docstring AND at the function site that this is the ONE MCP/beta chat caller and should not become the general provider path. MCP/beta/images are features of exactly one optional Anthropic beta endpoint; routing them through AnthropicProvider would leak a provider- specific concern into the abstract interface that also serves Gemini. Behavior change: chat_call_cached now reuses the singleton AnthropicProvider HTTP client via `_get_anthropic_client(...)` instead of instantiating a new `anthropic.AsyncAnthropic(...)` per call. Matches the provider's own pattern and avoids burning connections per-turn. No user-visible difference. No runtime verification from code-server. TODO(phase0-verify) in ai_provider.py tracks the cache-hit verification owed on the new dev env. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| 0fbc1e0a57 |
feat(telemetry): add MCP per-turn structured-log telemetry (Phase 0.5)
Emits structured `mcp.turn` log events on every Anthropic-path chat turn, capturing whether MCP was wired in (mcp_available), whether the model actually invoked an MCP tool (mcp_invoked), which tool names fired, and whether the silent retry-without-MCP fallback was triggered. Adds a separate `mcp.fallback` event with error type/message for fallback occurrences. Establishes baseline data for deciding whether MCP investment is earning its keep before Phase 2+ expands the product footprint. Scope: the one MCP-using code path (`_call_anthropic_cached`) — not a general instrumentation layer. No new dependencies, no schema changes, no behavior change. Standard library `logging` is the sink; PostHog is not wired on the backend. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| 7fa81f69a6 |
feat(psa): add spin-off ticket system prompt rule, backend routing tests
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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chihlasm
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290f2be2fd |
fix: resolve "sorry something went wrong" errors and show images in chat
Three fixes from beta tester session feedback:
1. MCP error handling (backend/app/services/assistant_chat_service.py)
- The MCP Microsoft Learn integration was catching only BadRequestError.
Any other error type (APIStatusError, APIConnectionError, timeout) from
the external MCP server propagated as a 502, causing the generic error.
- Now catches all Exception types when MCP is active and retries without
MCP using the stable client.messages.create endpoint.
2. Frontend error UX (frontend/src/pages/AssistantChatPage.tsx)
- catch {} was silently swallowing all errors and inserting a generic
assistant message. Now: differentiates 429 (rate limit) vs 502/503
(AI unavailable), removes the optimistic user message on failure,
restores the failed message to the input so users can retry without
retyping, and logs errors to console for debugging.
3. Image attachments visible in chat (frontend/src/components/assistant/ChatMessage.tsx)
- Uploaded images were sent to the AI correctly but never shown in the
chat thread. Now captures preview URLs before clearing pendingUploads
and renders thumbnails above the user bubble, clickable to full size.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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chihlasm
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8bd395a0c7 |
fix: resolve task lane stale state, partial submit, and closure bugs
- Import and call clearTaskState before updating questions/actions in handleSend and handleTaskSubmit so new AI tasks always replace stale sessionStorage cache instead of being overridden by it - Include pending (not yet completed) tasks in the AI message on partial submit so the AI knows which tasks were left unanswered - Fix stale closure in TaskLane saveTaskLane useEffect — use refs for questions/actions so the debounced backend save always uses current values - Add responses field to pending_task_lane TypeScript type, removing the unsafe double-cast in selectChat - Instruct the AI to re-surface incomplete tasks unless ≥75% confident the information is no longer needed Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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chihlasm
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3c0a29115c |
feat: AI marker system prompt fixes, TaskLane activation, and FlowPilot updates
- Fix system prompt to ensure [QUESTIONS]/[ACTIONS] markers in AI responses - Add format reminder injection to user messages for marker compliance - Wire TaskLane activation in prefill and resume paths - Add ActionCardGroup component for structured question/action rendering - Update FlowPilot session and step card components - Update ai-session schemas and types for marker data Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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chihlasm
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8e7f13d2f8 |
refactor: remove dead assistant_chat system, consolidate image helpers
The old /assistant/chats/* CRUD endpoints and assistant_chat_service
chat functions were unused — the frontend exclusively uses
/ai-sessions/{id}/chat (unified_chat_service) for all chat operations.
Removed:
- Chat CRUD endpoints (create, list, get, send, delete, conclude)
- assistant_chat_service: create_chat, send_message,
generate_conclusion_summary, CONCLUSION_SYSTEM_PROMPT
- Frontend: assistantChatApi chat methods, dead types
(AssistantChat, AssistantChatMessage, ConcludeChatRequest, etc.)
Kept:
- /assistant/retention endpoints (used by ChatRetentionSettingsPage)
- Shared AI infrastructure (_call_ai, _call_anthropic_cached,
ASSISTANT_SYSTEM_PROMPT, _auto_title) — imported by unified_chat_service
Moved:
- fetch_upload_images + resize_image_for_vision → storage_service.py
(shared location, not tied to dead endpoint)
Also added "Image Analysis" section to system prompt so Claude knows
to describe attached screenshots.
-650 lines of dead code removed.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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chihlasm
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3b682069d3 |
feat: wire image uploads into AI assistant chat (vision support)
- Backend: ChatMessageRequest accepts upload_ids, endpoint fetches images from S3, base64-encodes them, passes to Claude as multimodal content blocks (vision API) - Backend: add download_file() to storage_service for fetching from S3 - Frontend: handleSend collects completed upload IDs from pendingUploads and includes them in the sendChatMessage API call - Frontend: prefill handler passes upload IDs from dashboard nav state - Enables paste-screenshot → AI-sees-it flow end-to-end Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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chihlasm
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df46046c86 |
fix: resolve MissingGreenlet crash and add MCP fallback in AI Assistant
Capture user_id/account_id before try block so error handler survives db.rollback() without triggering lazy loads in async context. Add retry-without-MCP fallback when Anthropic MCP server returns rate limit or connection errors. Fixes PYTHON-FASTAPI-3, PYTHON-FASTAPI-4 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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chihlasm
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0dc6123c0c |
feat: flow export/import + procedural Flow Assist (#96)
* feat: add flow export/import backend (migration, endpoints, schemas)
Add .rfflow file export/import support:
- Migration 050: import_metadata JSONB column on trees
- GET /trees/{id}/export?format=json|xml endpoint
- POST /trees/import endpoint (creates draft, resolves categories/tags)
- FlowExportEnvelope, FlowImportRequest/Response schemas
- import_metadata field on TreeResponse
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add flow export/import frontend + backend tests
Frontend:
- ExportFlowModal with JSON/XML format selection + download
- ImportFlowModal with drag-drop file picker + preview step
- rfflowParser for client-side JSON/XML .rfflow parsing
- Export buttons on editor toolbar and library action menus
- Import button on library page next to Create New
- Provenance display for imported flows in editor
- flowTransfer API client + types
Backend:
- Fix regex->pattern deprecation in export endpoint
- 12 integration tests covering export, import, round-trip,
access control, tag/category creation, version validation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: remove XML export, JSON-only for .rfflow files
- Remove XML builder, format query param, and XML tests
- Simplify ExportFlowModal (no format picker)
- Simplify rfflowParser (JSON-only)
- Remove format field from schemas and types
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: match Flow Assist chat input to AI Assistant styling + strengthen one-question prompt
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add procedural flow support to AI chat builder (Flow Assist)
- Add procedural-specific system prompts (schema, interview protocol, response format)
- Dispatch prompts by flow_type: procedural/maintenance use flat steps schema, troubleshooting uses decision tree schema
- Parse [STEPS_UPDATE] and [INTAKE_FORM] markers in AI responses
- Add validate_generated_procedural_steps() validator
- Handle intake form extraction in AI chat import endpoint
- Add StaticStepsPreview component for procedural flow preview
- Update store and page to render correct preview by flow type
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add flow type selection to Flow Assist entry points
- CreateFlowDropdown now shows "Build with Flow Assist" under each flow type
- Library page "Flow Assist" button respects current type filter
- Clean up unused AIFlowBuilderModal references
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: update CLAUDE.md with AI chat builder and intake form learnings
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: refine assistant chat prompt for concise answers and focused questions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: switch AI provider to Claude Sonnet 4.6 + add shift+enter hint to chat inputs
- Default AI_PROVIDER changed from gemini to anthropic
- AI_MODEL and AI_MODEL_ANTHROPIC updated to claude-sonnet-4-6
- Added "Shift + Enter for a new line" hint below all chat textareas
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: update CLAUDE.md with AI provider and chat input learnings
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: add editor-embedded Flow Assist design document
Design for replacing the standalone /ai/chat page with context-aware
AI side panels embedded in each editor (Troubleshooting + Procedural).
Covers ghost node suggestion system, output-based thresholds,
config-driven model routing, knowledge integration, and per-flow
chat persistence.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: add editor-embedded Flow Assist implementation plan
25-task plan across 9 phases covering backend foundation, frontend
infrastructure, tree/procedural editor integration, AI-assisted create,
old code removal, action-type dispatch, suggestion audit trail, and
build verification.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: use actual root node ID in orphan validation check
AI-generated trees use descriptive IDs (e.g., "verify-account-exists")
instead of "root", causing the root node to be falsely flagged as orphaned.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add config-driven AI model tier routing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: extend AI chat session with tree_id and archived_at
Add tree_id FK (CASCADE) for editor-embedded sessions and archived_at
timestamp column to ai_chat_sessions table.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add AI suggestion audit trail table
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add action_type and focal_node_id to AI chat message API
- Add VALID_ACTION_TYPES literal and action_type/focal_node_id fields to
AIChatMessageRequest schema
- Add tree_id field to AIChatStartRequest schema for editor-embedded sessions
- Update send_message() signature with action_type and focal_node_id params
- Update start_chat_session() signature with tree_id param
- Pass new params through endpoints to service functions
- All new params have defaults so existing behavior is unchanged
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: route AI model selection through action-type config
Update get_ai_provider() to accept an optional model override parameter
(applied only to AnthropicProvider; Gemini always uses its own model).
Thread action_type-based model resolution through send_message() and
generate_final_tree() in the AI chat service.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add TypeScript types for editor-embedded AI
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add shared ContextMenu component
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add useEditorAI hook and editorAI API client
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add EditorAIPanel component with Chat and Suggestions tabs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: integrate AI panel, context menu, and ghost nodes in tree editor
- Add AI Assist panel toggle button to tree editor toolbar
- Wire EditorAIPanel alongside TreeEditorLayout with single-panel rule
- Thread onNodeContextMenu through TreeEditorLayout → FlowCanvas → FlowCanvasNode
- Add right-click context menu with Generate Branch, Explain Node, Delete actions
- Add ghost node detection (_suggestion flag) with dashed border + opacity styling
- Add Accept/Dismiss overlay buttons on ghost nodes for future suggestion handling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: integrate AI panel, context menu, and ghost steps in procedural editor
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add AI prompt dialog and wire into CreateFlowDropdown
Replace navigation to /ai/chat with an inline AIPromptDialog modal
that collects a single prompt, generates a flow via the editor AI API,
imports it, and navigates to the editor with the AI panel open.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: add glassmorphism to AI prompt dialog + maintenance Flow Assist button
- Use .glass-card-static on AIPromptDialog card for consistent design system
- Add "Build with Flow Assist" button to maintenance section in CreateFlowDropdown
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: remove standalone Flow Assist page and old AI chat components
Remove the old /ai/chat page, AI wizard modal, and all associated
components/stores/types now replaced by the editor-embedded AI panel.
Deleted:
- AIChatBuilderPage, ai-chat/ components, aiChatStore, aiChat API, ai-chat types
- AIFlowBuilderModal, ai-builder/ components, aiFlowBuilderStore
Cleaned up:
- Router (removed /ai/chat route)
- Sidebar (removed Flow Assist nav item)
- MyTreesPage (removed AI builder modal and button)
- TreeLibraryPage (removed Flow Assist button)
- API and type barrel exports
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add delta response parsing and action-type prompt dispatch
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add AI suggestion audit trail endpoints
Create/list/resolve endpoints for tracking AI-applied changes to flows.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add APScheduler task to auto-archive stale AI chat sessions
Archives AI chat sessions with no activity for 30 days, runs daily at 3 AM.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: update project status for editor-embedded Flow Assist
- Add Editor-Embedded Flow Assist to CURRENT-STATE.md in-progress items
- Update CLAUDE.md: fix stale lessons (#41, #46), add new patterns (#47 editor AI architecture, #48 orphan validation)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: use correct model alias in AI_MODEL_TIERS standard tier
The dated model ID `claude-sonnet-4-6-20250514` was causing 502 errors.
Use the alias `claude-sonnet-4-6` which matches AI_MODEL_ANTHROPIC.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: send live flow context to AI Assist for full editor awareness
The AI panel now sends the current tree structure (troubleshooting) or
steps + intake form (procedural/maintenance) with each message. This
gives the AI full visibility into node details, questions, descriptions,
options, and intake form fields — not just the node ID.
- Backend: add flow_context param to schema, endpoint, and service
- Frontend: add getFlowContext callback to useEditorAI hook
- TreeEditorPage: passes treeStructure as flow context
- ProceduralEditorPage: passes steps + intakeForm as flow context
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: include flow name and description in AI Assist context
Both editors now send name and description alongside the flow structure,
so the AI can reference what the flow is about when responding.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: increase AI timeout to 120s and limit retries to 1
The 45s timeout was too short for generation tasks with full flow
context in the system prompt. The Anthropic SDK's default 2 retries
caused requests to hang for ~136s before failing. Now: 120s timeout
with max 1 retry = faster failure if it does timeout.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: wire AI-generated flow structures into editor stores
The useEditorAI hook was ignoring result.working_tree from AI responses,
so generated steps/trees never appeared in the editor. Now:
- useEditorAI calls onFlowUpdate when working_tree is present in response
- ProceduralEditorPage handles steps + intake form updates via replaceSteps
- TreeEditorPage handles tree structure updates via replaceTreeStructure
- Both stores have new bulk-replace methods for AI integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: add lessons learned for full-stack integration, Anthropic retries, model tiers
#49 Always verify frontend consumes backend response fields
#50 Anthropic SDK max_retries=1 to avoid 3× timeout
#51 AI model tier routing via settings.get_model_for_action()
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: move AI Assist panel to full-height side layout in both editors
The AI panel was nested inside the content area, only spanning the
step list / canvas section. Now it sits at the outermost flex level,
spanning the full page height alongside all content (toolbar,
collapsible sections, steps/canvas). This prevents the panel from
overlapping content and lets the editor area properly shrink.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: AI Assist panel as fixed right drawer (matching Copilot/Scratchpad)
Convert EditorAIPanel from in-flow flex child to fixed right-side drawer
overlay, same pattern as CopilotPanel and ScratchpadSidebar. The panel
is fixed at right:0 spanning full viewport height, and editor pages add
pr-[380px] padding when open so content shifts left without overlap.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: AI Assist panel sits below topbar with slide-in animation
- Panel now uses top:56px to sit below the app shell topbar instead of
covering it (matches the main-content grid cell area)
- Added slideInRight CSS animation for smooth drawer entrance
- Editor pages use dynamic paddingRight via PANEL_WIDTH constant
- ChatTab upgraded: markdown rendering, CopilotPanel-style message
bubbles, auto-focus input, Shift+Enter hint
- All borders use --glass-border for consistent glassmorphism
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: AI Assist panel as in-flow flex sibling (not fixed/overlay)
Replace fixed positioning with in-flow flex layout. The outermost div
is now a horizontal flex row: content column (flex-1 min-w-0) + panel
(w-[380px] shrink-0). When the panel opens, the content column
automatically shrinks — no padding hacks or z-index stacking needed.
This guarantees the content shifts left and stays fully visible.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: AI Copilot panel as in-flow flex sibling in session navigation pages
Changed CopilotPanel from fixed overlay to flex layout sibling so it
pushes main content instead of covering it during active sessions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: remove duplicate CLAUDE.md lessons #47-48
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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chihlasm
|
0fb1ef33a0 |
feat: AI chat conclusion + survey completion & management (#95)
* fix: increase assistant chat input height from 1 to 3 rows Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add Anthropic prompt caching to assistant chat Cache the static system prompt and conversation history prefix across turns, reducing input token costs by ~80% on multi-turn conversations. RAG context is intentionally uncached since it changes per query. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add Microsoft Learn MCP integration + refine assistant system prompt - Integrate Microsoft Learn MCP server via Anthropic's MCP connector for real-time documentation lookups (docs search, fetch, code samples) - Refine system prompt: clear persona, structured answer guidelines, when to use RAG flows vs Microsoft Learn, guardrails against fabrication - Add ENABLE_MCP_MICROSOFT_LEARN config toggle (default: True) - Fix bugs from prior edit: wrong MCP URL, broken indentation, undefined usage/token variables, NOT_GIVEN for disabled MCP params - Log MCP tool usage and cache performance Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: AI chat session conclusion + survey completion & management AI Assistant - Conclude Session: - 3-step modal: select outcome (resolved/escalated/paused), add notes, AI-generated summary - AI generates structured ticket notes from conversation transcript (PSA-ready format) - Copy to clipboard for pasting into ticketing systems - "Resume in New Chat" for paused sessions (pre-loads context into new chat) - Backend: POST /chats/{id}/conclude endpoint, conclusion_summary/outcome/concluded_at fields - Migration 048: add conclusion fields to assistant_chats Survey Completion Flow: - Email-to-self option after submission (branded HTML email with formatted responses) - Finish button navigates to /survey/thank-you page - Thank you page with close-window message and feedback email callout - Already-submitted state updated with same messaging - Backend: POST /survey/email-copy public endpoint Survey Admin Management: - Read/unread indicators (cyan dot, bold name, auto-mark on expand) - Unread count stat card - Per-row context menu: mark read/unread, archive/unarchive, delete - Bulk actions bar: select all, mark read/unread, archive, delete - Show Archived toggle to filter archived responses - Backend: 7 new admin endpoints (read, unread, archive, unarchive, delete, bulk) - Migration 049: add is_read, archived_at to survey_responses Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: initialize VerifyEmailPage state from token to avoid setState in effect Moves the no-token error case from useEffect into initial state to satisfy the react-hooks/set-state-in-effect ESLint rule. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Michael Chihlas
|
e4c5948fbd |
feat: add Microsoft Learn MCP integration + refine assistant system prompt
- Integrate Microsoft Learn MCP server via Anthropic's MCP connector for real-time documentation lookups (docs search, fetch, code samples) - Refine system prompt: clear persona, structured answer guidelines, when to use RAG flows vs Microsoft Learn, guardrails against fabrication - Add ENABLE_MCP_MICROSOFT_LEARN config toggle (default: True) - Fix bugs from prior edit: wrong MCP URL, broken indentation, undefined usage/token variables, NOT_GIVEN for disabled MCP params - Log MCP tool usage and cache performance Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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Michael Chihlas
|
2007dcb990 |
feat: add Anthropic prompt caching to assistant chat
Cache the static system prompt and conversation history prefix across turns, reducing input token costs by ~80% on multi-turn conversations. RAG context is intentionally uncached since it changes per query. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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chihlasm
|
4d2c4930fd |
feat: Slate & Ice Modern aesthetic redesign (#94)
* chore: update Google Fonts to Bricolage Grotesque, IBM Plex Sans, JetBrains Mono Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: update Tailwind config to Slate & Ice theme colors and fonts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: update CSS variables and glass-card utilities for Slate & Ice theme - Replace all color variables with Slate & Ice palette - Add glass system vars (--glass-bg, --glass-blur, --shadow-float) - Replace legacy glass-card with new variable-driven glass classes - Add breatheGlow, bellWobble, slideDown, fadeInRight keyframes - Update font references to IBM Plex Sans and Bricolage Grotesque Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: recolor BrandLogo to cyan gradient, split BrandWordmark for gradient Flow text Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: update TopBar with glassmorphism backdrop and cyan accent styling Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: update Sidebar with glassmorphism backdrop Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add ambient atmosphere gradient orbs behind app shell Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: update QuickStats and SessionsPanel with glass-card styling Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add WeeklyCalendar, QuickActions, OpenSessions, RecentActivity dashboard components Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: redesign dashboard layout with calendar, open sessions, and glass-card panels New layout: greeting → calendar+actions → sessions+stats → activity Replaces old QuickStats and SessionsPanel with new dashboard components Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: replace remaining purple hex references with ice-cyan accent Sweep of hardcoded purple hex values (#818cf8, #6366f1) replaced with new cyan accent (#06b6d4) in QuickActions, RecentActivity, QuickLaunch, and SVG brand assets. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: update CLAUDE.md branding and design system for Slate & Ice Modern Updated Last Updated date, branding section (fonts, colors, glass utilities, atmosphere orbs), component styling rules, and Design System section to reflect the new ice-cyan glassmorphism theme. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add Slate & Ice Modern design doc and implementation plan Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: redesign login page with Slate & Ice Modern design system Apply glassmorphism styling, atmosphere orbs, branded wordmark, and consistent design tokens to match the updated app shell aesthetic. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: raise TopBar z-index so profile dropdown renders above main content Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add AI assistant with in-session copilot and standalone chat with RAG Implements three-phase AI assistant feature: - Phase 0: RAG infrastructure with pgvector embeddings, Voyage AI integration, tree chunking service, and semantic search over team's flow library - Phase 1: In-session copilot panel during flow navigation with contextual AI help, current step awareness, and suggested related flows - Phase 2: Standalone AI chat page with persistent conversation history, pin/delete, and configurable retention policies (account-level) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add account management, email verification, AI fixes, and user guides - Profile settings, account transfer, delete/leave account flows - Email verification with JWT tokens and Resend integration - AI assistant/copilot fixes: markdown rendering, shared RAG helpers, token tracking, input refocus, model_validate usage - User guides hub + detail pages with 13 topic guides - Sidebar and top bar navigation for guides Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: prevent stale chunk errors after deployments - Set Cache-Control no-cache on index.html in nginx so browsers always fetch fresh chunk references after a deploy - Auto-reload on chunk load failures (stale deploy detection) with loop prevention via sessionStorage - Show friendly "App Updated" message if auto-reload doesn't resolve it Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add email verification toggle to admin settings Adds platform-level toggle to enable/disable email verification. When disabled, the verification banner is hidden and the send endpoint returns 403. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
