Add dual-mode environment variable support for stdio MCP servers and custom
HTTP headers for HTTP-based MCP servers to enable proper authentication and
configuration.
Backend changes (Rust):
- Add migration 023 for env_config column in mcp_servers table
- Add env_config field to McpServer, CreateMcpServerRequest, UpdateMcpServerRequest
- Encrypt env_config using AES-256-GCM on create/update in store.rs
- Add get_server_env_config() helper to decrypt and parse env vars
- Parse plaintext env from transport_config.env (stdio only)
- Parse custom headers from transport_config.headers (HTTP only)
- Merge plaintext and encrypted env vars (encrypted takes precedence)
- Update connect_stdio() to accept HashMap<String, String> for env vars
- Update connect_http() to accept HashMap<String, String> for headers
- Apply env vars to tokio::process::Command via .env() method
- Add warning for HTTP headers (rmcp v1.7.0 limitation - no .header() method)
- Add comprehensive tests for encryption, merging, and clearing
Frontend changes (TypeScript/React):
- Add env_config field to CreateMcpServerRequest and UpdateMcpServerRequest
- Add plaintext_env, encrypted_env, http_headers to ServerForm interface
- Add parsing helpers: parseEnvVars(), formatEnvVars(), parseHeaders(), formatHeaders()
- Update startEdit() to extract and format env vars/headers from transport_config
- Update handleSave() to build transport_config with env/headers and env_config JSON
- Add conditional UI fields: stdio (plaintext + encrypted env), HTTP (custom headers)
- Use password input type for all sensitive fields
Security:
- Encrypted env vars stored using AES-256-GCM (matching auth_value pattern)
- Plaintext env vars in transport_config for non-sensitive values
- UI masks all env/header fields with password input type
- Never display decrypted values when editing
Fixes inability to configure MCP servers that require environment variables
(e.g., GitHub MCP server with GITHUB_PERSONAL_ACCESS_TOKEN).
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Remove frontend detectPiiCmd pre-scan loop — backend is sole redaction
authority; bubble update via response.user_message covers user feedback.
Detect PII on full file content before truncating. Previous order
(truncate to 8000 bytes then scan) could miss PII straddling the
boundary. Now: read full content, scan, redact, then truncate to
EMBED_LIMIT (8000 bytes) at a valid UTF-8 char boundary.
logFileIds IPC: pass undefined (not null) for empty array so Tauri
serialises it correctly to Rust Option::None.
Add MAX_TEXT_SCAN_BYTES (32 KB) guard in scan_text_for_pii to prevent
unbounded regex evaluation on oversized payloads.
Fix clippy uninlined_format_args in ai.rs.
Resolves all three findings from the second automated review and
fixes the cargo fmt --check CI failure (formatting drift in analysis.rs
from a prior merge).
[BLOCKER 1 + BLOCKER 2 + WARNING]
Frontend no longer performs any PII scanning or redaction. All three
concerns stemmed from the same root cause: outMessage was derived
on the frontend and used for display, DB storage (via lastUserMsgRef
and the chat bubble), and the AI payload — causing the original message
to be silently replaced before the backend received it.
Fix: frontend sends the original message verbatim. Backend is now the
sole authority. chat_message auto-redacts the typed message text using
PiiDetector + apply_redactions() before building the full payload, logs
the PII types via tracing::warn, and stores only the redacted form in
ai_messages and the audit log. The redacted form is returned to the
caller as ChatResponse.user_message (Option<String>, absent from direct
provider calls).
Frontend uses message (original) for the chat bubble and
lastUserMsgRef — resolution steps show natural language, not
[Password] tokens. The AI and DB see only the redacted version.
CI fix: cargo fmt applied to analysis.rs; all format checks now pass.
Resolves all four findings from the automated review:
[BLOCKER 1] Attachment PII scan error path left pendingFiles intact,
allowing retry with stale file references. Fix: file content is no
longer held in frontend state at all — PendingFile drops the content
field entirely. logFileIds are captured before setPendingFiles([]) and
passed directly to the backend.
[BLOCKER 2] Raw file content stored in PendingFile.content created a
UI-visible PII surface and a data-residency risk. Fix: frontend never
reads or stores file content. The backend loads file data from disk,
auto-redacts PII in-memory using pii::apply_redactions(), and embeds
the clean text into the AI message. No PII ever touches the frontend.
[WARNING 1] String-based attachment header parsing was fragile and
bypassable. Fix: parsing is gone — backend identifies attachments by
log_file_id, reads them directly from the DB/disk path, and applies
redaction at that level.
[WARNING 2] Error message disclosed PII type list to the caller. Fix:
PII types are logged via tracing::warn only; no type details in the
user-facing error or API response.
Additionally: typed chat messages are now auto-redacted rather than
blocked. scanTextForPiiCmd runs on the typed text; detected spans are
replaced in reverse-offset order before the message is sent to the AI
and stored in the DB. The user sees the redacted form in their chat
bubble.
Architecture:
- chat_message now accepts log_file_ids: Option<Vec<String>>
- Backend reads file → detects PII → redacts in memory → embeds
- Frontend: no readTextFile, no content field, no frontend PII gate
File attachments were embedded into AI messages without any PII
scanning, allowing credentials, tokens, and other sensitive data
to be forwarded to AI providers in plaintext.
Typed chat messages had the same gap: a user could type a password
or API key directly and it would be sent unscanned.
Changes:
- chat_message (Rust): defence-in-depth scan of all attachment body
content (between --- Attached: markers); hard rejects if PII found
- detect_pii (Rust): fix return type from pii::PiiDetectionResult
(spans/original_text) to db::models::PiiDetectionResult
(detections/total_pii_found) to match the TypeScript contract; the
LogUpload PII review workflow was receiving undefined for detections
- scan_text_for_pii (Rust): new command — scans arbitrary text for PII
without creating DB records; used for typed message warnings
- Triage/index.tsx: PendingFile now carries logFileId; handleSend gates
each text attachment through detectPiiCmd (hard block on PII found);
typed message text scanned via scanTextForPiiCmd with a one-time
warning — second send of same message proceeds as acknowledgment
Store compressed log content and raw image bytes in SQLite so attachments
are self-contained regardless of source file availability on disk.
DB (migrations 020-022):
- log_files.content_compressed BLOB — gzip-compressed extracted text
- image_attachments.image_data BLOB — raw image bytes
- Views v_log_files_with_issue and v_image_attachments_with_issue for
cross-incident queries with joined issue title
Rust backend:
- compress_text / decompress_text helpers (flate2 rust_backend / miniz_oxide)
with 100 MB decompression-bomb guard
- upload_log_file*, upload_log_file_by_content store content_compressed
- upload_image_attachment*, upload_paste_image store image_data
- New commands: get_log_file_content, list_all_log_files (analysis.rs)
- New commands: get_image_attachment_data, list_all_image_attachments (image.rs)
- All commands fall back to file_path for pre-migration records
Frontend:
- LogFileSummary, ImageAttachmentSummary types in tauriCommands.ts
- attachmentStore (Zustand) — loadAttachments, searchAttachments
- History page: Issues tab (existing) + Attachments tab (new)
with log/image tables, search bar, View modals, lazy thumbnails
Tests: 227 Rust (+16 new), 103 frontend (+9 new), tsc clean, clippy clean
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Address security review findings:
- Validate event_type against whitelist of 7 known types (M-3)
- Validate metadata is valid JSON and under 10KB (M-2, M-4)
- Include metadata in audit log details (M-2)
- Wrap timeline insert + audit write + timestamp update in a
SQLite transaction for atomicity (M-5)
- Fix TypeScript TimelineEvent interface: add issue_id, metadata
fields and correct created_at type to string (L-3)
- Add timeline_events to IssueDetail TypeScript interface (L-4)
Add INCIDENT_RESPONSE_FRAMEWORK to domainPrompts.ts and append it to
all 17 domain prompts via getDomainPrompt(). Add system_prompt param
to chat_message command so frontend can inject domain expertise. Record
UTC timeline events (triage_started, log_uploaded, why_level_advanced,
root_cause_identified, rca_generated, postmortem_generated,
document_exported) at key moments with non-blocking calls.
Update tauriCommands.ts with getTimelineEventsCmd, optional metadata on
addTimelineEventCmd, and systemPrompt on chatMessageCmd.
12 new frontend tests (9 domain prompts, 3 timeline events).
- Add build.rs to read version from git describe --tags
- Create update-version.mjs script to sync version across files
- Add get_app_version() command to Rust backend
- Update App.tsx to use custom version command
- Run version update in CI before Rust checks
- Add use_datastore_upload field to ProviderConfig for enabling datastore uploads
- Add upload_file_to_datastore and upload_file_to_datastore_any commands
- Add upload_log_file_by_content and upload_image_attachment_by_content commands for drag-and-drop without file paths
- Add multipart/form-data support for file uploads to GenAI datastore
- Add support for image/bmp MIME type in image validation
- Add x-generic-api-key header support for GenAI API authentication
This addresses:
- Paste fails to attach screenshot (clipboard)
- File upload fails with 500 error when using GenAI API
- GenAI datastore upload endpoint support for non-text files
- Update saveAiProviderCmd to pass { provider: config } instead of { config }
The Rust command expects 'provider' parameter, but frontend was sending 'config'.
This mismatch caused 'invalid args provider for command save_ai_provider' error.
- Add debug logging to OpenAI provider for troubleshooting
- Trim trailing periods from model names
- Fix HTTP error handling to capture response details
- Register missing AI provider commands (save/load/delete)
- Fix authenticateWithWebviewCmd to accept optional projectName parameter
This commit implements two major features:
1. Integration Search as Primary AI Data Source
- Confluence, ServiceNow, and Azure DevOps searches execute before AI queries
- Search results injected as system context for AI providers
- Parallel search execution for performance
- Webview-based fetch for HttpOnly cookie support
- Persistent browser windows maintain authenticated sessions
2. AI Tool-Calling (Function Calling)
- Allows AI to automatically execute functions during conversation
- Implemented for OpenAI-compatible providers and Custom REST provider
- Created add_ado_comment tool for updating Azure DevOps tickets
- Iterative tool-calling loop supports multi-step workflows
- Extensible architecture for adding new tools
Key Files:
- src-tauri/src/ai/tools.rs (NEW) - Tool definitions
- src-tauri/src/integrations/*_search.rs (NEW) - Integration search modules
- src-tauri/src/integrations/webview_fetch.rs (NEW) - HttpOnly cookie workaround
- src-tauri/src/commands/ai.rs - Tool execution and integration search
- src-tauri/src/ai/openai.rs - Tool-calling for OpenAI and Custom REST provider
- All providers updated with tools parameter support
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- AIProviders: hide top model row when custom_rest active (dropdown lower in form handles it);
clear auth header prefill on format switch; rename User ID / CORE ID → Email Address
- Dashboard + Ollama: add border-border/bg-card classes to Refresh buttons for dark-bg contrast
- Security + settingsStore: wire PII toggle state to persisted Zustand store so pattern
selections survive app restarts
- App: add Sun/Moon theme toggle button to sidebar footer (always visible when collapsed)
- system.rs: add install_ollama_from_bundle command (copies bundled binary to /usr/local/bin)
- auto-tag.yml: add Download Ollama step to all 4 platform build jobs with SHA256 verification
- tauri.conf.json: add resources/ollama/* to bundle resources
- docs: add install_ollama_from_bundle to IPC-Commands wiki
Security: CI download steps verify SHA256 against Ollama's published sha256sums.txt before bundling.
## Integration Settings Persistence
- Add database commands to save/load integration configs (base_url, username, project_name, space_key)
- Frontend now loads configs from DB on mount and saves changes automatically
- Fixes issue where settings were lost on app restart
## Persistent Browser Window Architecture
- Integration browser windows now stay open for user browsing and authentication
- Extract fresh cookies before each API call to handle token rotation
- Track open windows in app state (integration_webviews HashMap)
- Windows titled as "{Service} Browser (TFTSR)" for clarity
- Support easy navigation between app and browser windows (Cmd+Tab/Alt+Tab)
- Gracefully handle closed windows with automatic cleanup
## Bug Fixes
- Fix Rust formatting issues across 8 files
- Fix clippy warnings:
- Use is_some_and() instead of map_or() in openai.rs
- Use .to_string() instead of format!() in integrations.rs
- Add missing OptionalExtension import for .optional() method
## Tests
- Add test_integration_config_serialization
- Add test_webview_tracking
- Add test_token_auth_request_serialization
- All 6 integration tests passing
## Files Modified
- src-tauri/src/state.rs: Add integration_webviews tracking
- src-tauri/src/lib.rs: Register 3 new commands, initialize webviews HashMap
- src-tauri/src/commands/integrations.rs: Config persistence, fresh cookie extraction (+151 lines)
- src-tauri/src/integrations/webview_auth.rs: Persistent window behavior
- src/lib/tauriCommands.ts: TypeScript wrappers for new commands
- src/pages/Settings/Integrations.tsx: Load/save configs from DB
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Implement three authentication methods for Confluence, ServiceNow, and Azure DevOps:
1. **OAuth2** - Traditional OAuth flow for enterprise SSO environments
2. **Embedded Browser** - Webview-based login that captures session cookies/tokens
- Solves VPN constraints: users authenticate off-VPN via web UI
- Extracted credentials work on-VPN for API calls
- Based on confluence-publisher agent pattern
3. **Manual Token** - Direct API token/PAT input as fallback
**Changes:**
- Add webview_auth.rs module for embedded browser authentication
- Implement authenticate_with_webview and extract_cookies_from_webview commands
- Implement save_manual_token command with validation
- Add AuthMethod enum to support all three modes
- Add RadioGroup UI component for mode selection
- Complete rewrite of Integrations settings page with mode-specific UI
- Add secondary button variant for UI consistency
**VPN-friendly design:**
Users can authenticate via webview when off-VPN (web UI accessible), then use extracted cookies for API calls when on-VPN (API requires VPN). Addresses enterprise SSO limitations where OAuth app registration is blocked.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Fixes:
- Added shell:allow-open permission to fix OAuth integration flows
- Added user_id field to ProviderConfig for Custom REST provider CORE ID
- Added UI field for user_id when api_format is custom_rest
- Made userId optional in Custom REST provider requests (only sent if provided)
- Added X-msi-genai-client header to Custom REST provider requests
- Updated CSP to include Custom REST provider domains
- Bumped version to 0.2.6
This fixes:
- OAuth error: 'Command plugin:shell|open not allowed by ACL'
- Missing User ID field in Custom REST provider configuration UI
- Extended ProviderConfig with optional custom fields for non-OpenAI APIs
- Added custom_endpoint_path, custom_auth_header, custom_auth_prefix fields
- Added api_format field to distinguish between OpenAI and Custom REST provider formats
- Added session_id field for stateful conversation APIs
- Implemented chat_custom_rest() method in OpenAI provider
- Custom REST provider uses different request format (prompt+sessionId) and response (msg field)
- Updated TypeScript types to match Rust schema
- Added UI controls in Settings/AIProviders for custom provider configuration
- API format selector auto-populates appropriate defaults (OpenAI vs Custom REST provider)
- Backward compatible: existing providers default to OpenAI format
- db.rs: add get_issue_messages command (joins ai_conversations + ai_messages)
- tauriCommands.ts: fix updateIssueCmd to pass updates as nested object
(was spreading inline — Rust expects {issueId, updates}); fix addFiveWhyCmd
parameter names to match Rust (stepOrder, whyQuestion, answer, evidence);
add getIssueMessagesCmd and IssueMessage interface
- Dashboard: X button on each open issue row to close (mark resolved) inline
- Triage: restore conversation history from DB when revisiting existing issues;
detect close intent patterns and mark issue resolved + navigate home;
auto-save resolution step via addFiveWhyCmd when AI advances why level
- tests: add issueActions.test.ts covering IPC arg structure and close intent
- globals.css: remove button from WebKit -webkit-text-fill-color override that
was causing button text to be invisible (text color matched background in dark mode)
- Security.tsx: toggle enabled state uses bg-blue-500 instead of bg-primary;
in dark mode --primary is near-white making the white knob invisible
- tauriCommands.ts: fix createIssueCmd to pass flat args (not wrapped in newIssue),
map domain->category, and return Issue instead of IssueDetail
- NewIssue/index.tsx: update call site to use Issue return type directly
- release.yml: add ad-hoc codesign step for macOS .app so Gatekeeper shows
"unidentified developer" instead of "damaged" error
