Complete Phase 2 baseline integration:
- Add baseline_exports.go for clean type aliasing
- Wire baseline store initialization into StartPatrol
- Implement startBaselineLearning background loop
- Runs initial learning after 5 min delay
- Updates baselines every hour from metrics history
- Learns from 7 days of data for nodes, VMs, containers
- Add SetBaselineStore methods throughout the chain
(Router -> AIHandler -> Service -> PatrolService)
- Persists baselines to data directory as JSON
The baseline learning loop:
1. Starts automatically when AI patrol starts
2. Queries metrics history for all resources
3. Computes mean, stddev, percentiles for cpu/memory/disk
4. Saves baselines to disk for durability
5. Anomaly detection uses these baselines in context builder
All tests passing.
Phase 1 of Pulse AI differentiation:
- Create internal/ai/context package with types, trends, builder, formatter
- Implement linear regression for trend computation (growing/declining/stable/volatile)
- Add storage capacity predictions (predicts days until 90% and 100%)
- Wire MetricsHistory from monitor to patrol service
- Update patrol to use buildEnrichedContext instead of basic summary
- Update patrol prompt to reference trend indicators and predictions
This gives the AI awareness of historical patterns, enabling it to:
- Identify resources with concerning growth rates
- Predict capacity exhaustion before it happens
- Distinguish between stable high usage vs growing problems
- Provide more actionable, time-aware insights
All tests passing. Falls back to basic summary if metrics history unavailable.
- Add /api/ai/test/{provider} endpoint for testing individual providers
- Add 'Test' button to each provider accordion (visible when configured)
- Shows test result inline (success/error message)
- Update help links with direct URLs to API key pages:
- Anthropic: console.anthropic.com/settings/keys
- OpenAI: platform.openai.com/api-keys
- DeepSeek: platform.deepseek.com/api_keys
- Ollama: ollama.ai
Backend:
- Add per-provider API key fields to AIConfig (AnthropicAPIKey, OpenAIAPIKey, DeepSeekAPIKey, OllamaBaseURL, OpenAIBaseURL)
- Add NewForProvider() and NewForModel() factory functions for multi-provider instantiation
- Update ListModels() to aggregate models from all configured providers with provider:model format
- Update Execute/ExecuteStream to dynamically create provider based on selected model
- Update TestConnection to use multi-provider aware provider creation
- Add helper functions: HasProvider(), GetConfiguredProviders(), GetAPIKeyForProvider(), GetBaseURLForProvider(), ParseModelString(), FormatModelString()
Frontend:
- Remove legacy single-provider UI (provider grid, single API key input, single base URL)
- Add accordion-style UI for configuring all providers independently
- Add model grouping by provider in selectors using optgroup
- Update AIChat model dropdown with grouped provider sections
- Add helper functions for parsing provider from model ID and grouping models
API:
- Add multi-provider fields to AISettingsResponse and AISettingsUpdateRequest
- Add /api/ai/models endpoint for dynamic model listing
- Update settings handlers for per-provider credential management
Users can now:
1. View all suppression rules (both from dismissed findings and manually created)
2. Create manual rules like 'ignore performance issues on debian-go'
3. Delete rules when they want alerts to come back
Backend:
- Added SuppressionRule type for user-defined rules
- Added suppressionRules storage to FindingsStore
- Added AddSuppressionRule/GetSuppressionRules/DeleteSuppressionRule methods
- Added isSuppressedInternal check for manual rules
- Added API handlers and routes for /api/ai/patrol/suppressions
Frontend:
- Added SuppressionRule interface
- Added getSuppressionRules/addSuppressionRule/deleteSuppressionRule API functions
- Added getDismissedFindings for viewing dismissed findings
Example usage:
POST /api/ai/patrol/suppressions
{
'resource_id': 'debian-go',
'category': 'performance',
'description': 'Dev container runs hot - expected'
}
Implements a comprehensive feedback system that allows the LLM to 'remember'
user decisions about findings, preventing repetitive/annoying alerts.
Backend changes:
- Extended Finding struct with dismissed_reason, user_note, times_raised, suppressed
- Added Dismiss(), Suppress(), SetUserNote(), IsSuppressed() methods to FindingsStore
- Added GetDismissedForContext() to format dismissed findings for LLM context
- Enhanced buildPatrolPrompt() to inject user feedback context
- Added POST /api/ai/patrol/dismiss and /api/ai/patrol/suppress endpoints
- Updated IsActive() to exclude suppressed findings
Frontend changes:
- Added Dismiss dropdown with options: Not an Issue, Expected Behavior, Will Fix Later
- Added Never Alert Again option for permanent suppression
- Expected Behavior prompts for optional note to help LLM understand context
- Added visual badges: recurrence count (×N), dismissed status, suppressed indicator
- Display user notes in expanded finding view
Also fixes:
- Fixed 403 error on Run Patrol (compilation errors from partial refactoring)
- Removed non-LLM patrol checks - patrol now uses LLM analysis only
- Fixed function signature mismatches in alert_triggered.go
The LLM now receives context about previously dismissed findings and is
instructed not to re-raise them unless severity has significantly worsened.
- Add alert-triggered AI analysis for real-time incident response
- Implement patrol history persistence across restarts
- Add patrol schedule configuration UI in AI Settings
- Enhance AIChat with patrol status and manual trigger controls
- Add resource store improvements for AI context building
- Expand Alerts page with AI-powered analysis integration
- Add Vite proxy config for AI API endpoints
- Support both Anthropic and OpenAI providers with streaming
Keep only the simple AI-powered approach:
- set_resource_url tool lets AI save discovered URLs
- Users ask AI directly: 'Find URLs for my containers'
- AI uses its intelligence to discover and set URLs
Removed:
- URLDiscoveryService (rigid port scanning)
- Bulk discovery API endpoints
- Frontend discovery button
The AI itself is smart enough to iterate through resources
and discover URLs when asked.
- Add URLDiscoveryService for scanning all resources at once
- Scans common web ports (80, 443, 8080, 8096, 3000, etc.)
- Automatically saves discovered URLs to resource metadata
- Add API endpoints for start/status/cancel discovery
- Progress tracking with results reporting
Endpoints:
- POST /api/ai/discover-urls/start - Start bulk discovery
- GET /api/ai/discover-urls/status - Check progress
- POST /api/ai/discover-urls/cancel - Cancel discovery
- Add MetadataProvider interface for AI to update resource URLs
- Add set_resource_url tool to AI service
- Wire up metadata stores to AI service via router
- Add URL discovery guidance to AI system prompt
- AI can now inspect guests/containers/hosts for web services
and automatically save discovered URLs to Pulse metadata
Usage: Ask the AI 'Find the web URL for this container' and it will:
1. Check for listening ports and web servers
2. Get the IP address
3. Verify the URL works
4. Save it to Pulse for quick dashboard access
- Add host metadata API for custom URL editing on hosts page
- Enhance AI routing with unified resource provider lookup
- Add encryption key watcher script for debugging key issues
- Improve AI service with better command timeout handling
- Update dev environment workflow with key monitoring docs
- Fix resource store deduplication logic
- Add Claude OAuth authentication support with hybrid API key/OAuth flow
- Implement Docker container historical metrics in backend and charts API
- Add CEPH cluster data collection and new Ceph page
- Enhance RAID status display with detailed tooltips and visual indicators
- Fix host deduplication logic with Docker bridge IP filtering
- Fix NVMe temperature collection in host agent
- Add comprehensive test coverage for new features
- Improve frontend sparklines and metrics history handling
- Fix navigation issues and frontend reload loops
Backend:
- Call SetMonitor after router creation to inject resource store
- Add debug logging for resource population and broadcast
Frontend:
- Add resources array to WebSocket store initial state
- Handle resources in WebSocket message processing
- Use reconcile for efficient state updates
The unified resources are now properly:
1. Populated from StateSnapshot on each broadcast cycle
2. Converted to frontend format (ResourceFrontend)
3. Included in WebSocket state messages
4. Received and stored in frontend state
5. Consumed by migrated route components
Console now shows '[DashboardView] Using unified resources: VMs: X'
confirming the migration is working end-to-end.
The Resources page was showing 0 resources because the store was only
populated when /api/state was called (from the dashboard). Now the
resources are populated on-demand when /api/resources is accessed.
Changes:
- Added StateProvider interface to ResourceHandlers
- SetStateProvider() method for injecting the monitor
- HandleGetResources now calls PopulateFromSnapshot before querying
- Router injects monitor as state provider during SetMonitor()
This ensures the /resources page works even when accessed directly
without visiting the main dashboard first.
This commit implements the Unified Resource Architecture for AI-first
infrastructure management. Key features:
Phase 1 - Backend Unification:
- New unified Resource type with 9 resource types, 7 platforms, 7 statuses
- Resource store with identity-based deduplication (hostname, machineID, IP)
- 8 converter functions (FromNode, FromVM, FromContainer, etc.)
- REST API endpoints: /api/resources, /api/resources/stats, /api/resources/{id}
- 28 comprehensive unit tests
Phase 2 - AI Context Enhancement:
- Unified context builder for AI system prompts
- Cross-platform query methods: GetTopByCPU, GetTopByMemory, GetTopByDisk
- Resource correlation: GetRelated (parent, children, siblings, cluster)
- Infrastructure summary: GetResourceSummary with health status counts
- AI context now includes top consumers and infrastructure overview
Phase 3 - Agent Preference & Hybrid Mode:
- Polling optimization methods in resource store
- ResourceStoreInterface added to Monitor
- SetResourceStore() and shouldSkipNodeMetrics() helper methods
- Store automatically wired into Monitor via Router.SetMonitor()
- Foundation ready for reduced API polling when agents are active
Files added:
- internal/resources/resource.go - Core Resource type
- internal/resources/store.go - Store with deduplication
- internal/resources/converters.go - Type converters
- internal/resources/platform_data.go - Platform-specific data
- internal/resources/store_test.go - 28 tests
- internal/resources/converters_test.go - Converter tests
- internal/api/resource_handlers.go - REST API handlers
- internal/ai/resource_context.go - AI context builder
- .gemini/docs/unified-resource-architecture.md - Architecture docs
All tests pass.
- Implement 'Show Problems Only' toggle combining degraded status, high CPU/memory alerts, and needs backup filters
- Add 'Investigate with AI' button to filter bar for problematic guests
- Fix dashboard column sizing inconsistencies between bars and sparklines view modes
- Fix PBS backups display and polling
- Refine AI prompt for general-purpose usage
- Fix frontend flickering and reload loops during initial load
- Integrate persistent SQLite metrics store with Monitor
- Fortify AI command routing with improved validation and logging
- Fix CSRF token handling for note deletion
- Debug and fix AI command execution issues
- Various AI reliability improvements and command safety enhancements
- Add AI service with Anthropic, OpenAI, and Ollama providers
- Add AI chat UI component with streaming responses
- Add AI settings page for configuration
- Add agent exec framework for command execution
- Add API endpoints for AI chat and configuration
When new nodes are added to a Proxmox cluster after Pulse was
initially configured, they weren't showing up in Settings. The
existing "Refresh" button only triggered network discovery, not
cluster membership re-detection.
Changes:
- Add POST /api/config/nodes/{id}/refresh-cluster endpoint
- Add "Refresh" button in cluster node panel in Settings
- Re-detect cluster membership and update stored endpoints
Related to #799
- firstForwardedValue: strings.Split always returns at least one element
- shouldRunBackupPoll: remaining is always >= 1 by math
- convertContainerDiskInfo: lowerLabel is never empty for non-rootfs
All three functions now at 100% coverage.
The quick-setup command for temperature monitoring was generating
--standalone --http-mode which is meant for Docker deployments. This
confused users trying to set up multi-server Proxmox monitoring.
Now uses --ctid which works for both local and remote Proxmox hosts.
The installer detects when the container doesn't exist locally and
installs in "host monitoring only" mode automatically.
If we can determine the actual CTID from the host proxy summary,
we use it; otherwise we show <PULSE_CTID> for the user to replace.
Related to #785
Mark intentionally unused parameters with underscore to:
- Silence unparam warnings for legitimate unused parameters
- Keep function signatures intact for API compatibility
- Remove unused req from serveChecksum helper
The unified agent system replaced install-host-agent.sh with install.sh.
This commit updates all references:
- Dockerfile: removed COPY for deleted script
- router.go: serve install.sh at /install-host-agent.sh endpoint (backwards compatible)
- build-release.sh: removed copy of deleted script
- validate-release.sh: removed validation of deleted script
- install.sh: updated script list for bare-metal installs
Scripts like install.sh and install-sensor-proxy.sh are now attached
as release assets and downloaded from releases/latest/download/ URLs.
This ensures users always get scripts compatible with their installed
version, even while development continues on main.
Changes:
- build-release.sh: copy install scripts to release directory
- create-release.yml: upload scripts as release assets
- Updated all documentation and code references to use release URLs
- Scripts reference each other via release URLs for consistency
Implement self-update capability for the unified pulse-agent binary:
- Add internal/agentupdate package with cross-platform update logic
- Hourly version checks against /api/agent/version endpoint
- SHA256 checksum verification for downloaded binaries
- Atomic binary replacement with backup/rollback on failure
- Support for Linux, macOS, and Windows (10 platform/arch combinations)
Build and release changes:
- Dockerfile builds unified agent for all platforms
- build-release.sh includes unified agent in release artifacts
- validate-release.sh validates unified agent binaries
- Install scripts (install.sh, install.ps1) use correct URL format
Related to #727, #737
Fixes#755. Adds interactive pauses and graphical popups (where available) to installer scripts when critical errors occur, ensuring troubleshooting guides are readable. Also clarifies 'build from source' instructions.
Implements #750 - allows hiding the username/password login form when
using OIDC SSO to avoid user confusion, while maintaining security.
- Added HideLocalLogin config option (env: PULSE_AUTH_HIDE_LOCAL_LOGIN)
- Exposed hideLocalLogin in /api/security/status endpoint
- Updated Login.tsx to conditionally hide local login form
- Added escape hatch via ?show_local=true URL parameter
This approach avoids the security and upgrade issues that led to
DISABLE_AUTH being removed (see #707, #678), while solving the UX
problem of users being confused by multiple login options.
- Allow HEAD requests in addition to GET for all download handlers
(install scripts, binaries, checksums) to prevent 405 errors
- Add /uninstall-host-agent.sh to special routes in ServeHTTP
- Add test coverage for HEAD request handling
- Resolves 'method not allowed' errors during agent installation
- Add /download/pulse-host-agent.sha256 route to serve checksums
- Fixes 'Checksum not available' warning during host agent installation
- Bump version to 4.32.6
Related to #746
Introduced sync.RWMutex to protect concurrent access to configuration
fields (AuthUser, AuthPass, APITokens) that are modified by the
ConfigWatcher at runtime.
- Added global config.Mu RWMutex in internal/config/config.go
- Protected config updates in ConfigWatcher.reloadConfig() and reloadAPITokens()
- Protected config reads in CheckAuth and all API token handlers
- Protected Router.SetConfig() during full config reloads
This prevents race conditions when .env file changes trigger config
reloads while authentication handlers are reading the same fields.
- Add fallback to project root scripts/ directory for install-docker-agent.sh
- Add fallback to project root bin/ directory for pulse-docker-agent binary
- Fixes 404 errors when downloading agent installer and binary in dev mode
- Production paths remain unchanged (/opt/pulse/...)
This commit contains multiple fixes for temperature proxy registration,
but the core issue remains unresolved.
## What's Fixed:
1. Added config pointer and reloadFunc to TemperatureProxyHandlers
2. Added SetConfig method to keep handler in sync with router config changes
3. Added config reload after registration to prevent monitor from overwriting
4. Fixed installer port conflict detection and duplicate YAML key issues
5. Added comprehensive debug logging throughout registration flow
## What's Still Broken:
The TemperatureProxyURL, TemperatureProxyToken, and TemperatureProxyControlToken
fields are NOT persisting to nodes.enc after SaveNodesConfig is called.
Debug logs confirm:
- HandleRegister correctly updates nodesConfig.PVEInstances[matchedIndex]
- The correct data is passed to SaveNodesConfig (verified in logs)
- SaveNodesConfig completes without errors
- Config reload executes successfully
- BUT after Pulse restart, the fields are empty when loaded from disk
The bug is in SaveNodesConfig serialization or file writing logic itself.
Related files:
- internal/api/temperature_proxy.go: Registration handler
- internal/config/persistence.go: SaveNodesConfig implementation
- internal/config/config.go: PVEInstance struct definition
Modern Proxmox LXC containers (cgroup v2 + systemd) don't expose the CTID
inside the guest namespace. The auto-detection in DetectLXCCTID() works
for older LXC setups and when hostname is numeric, but fails for most
production containers where users set custom hostnames.
Changes:
- Added PULSE_LXC_CTID environment variable override in router.go:490-495
- Graceful fallback: auto-detect first, then check env var, then show placeholder
- UI already handles missing CTID by showing "pct exec <ctid>" placeholder
This provides a robust solution for thousands of users:
- Stock Proxmox LXC: Shows `pct exec <ctid>` placeholder (user substitutes manually)
- Custom hostname containers: Can set PULSE_LXC_CTID=171 in compose/systemd
- Numeric hostname containers: Auto-detected (backwards compatible)
Related: FirstRunSetup.tsx already has graceful fallback (line 336-339)
- Added DetectDockerContainerName() to detect container name from hostname
- Extended /api/security/status to expose dockerContainerName field
- Updated FirstRunSetup to show actual container name when detected:
* Before: 'docker exec <container-name> cat /data/.bootstrap_token'
* After: 'docker exec pulse cat /data/.bootstrap_token'
This reduces friction for users - no need to look up the container name.
Works when Docker container is named (--name flag), falls back to
placeholder for auto-generated container IDs.
- Added DetectLXCCTID() to internal/system/container.go to detect Proxmox container ID
- Extended /api/security/status to expose inContainer and lxcCtid fields
- Updated FirstRunSetup to show most relevant command based on detected environment:
* LXC with CTID: Shows 'pct exec 171 -- cat /etc/pulse/.bootstrap_token'
* Docker: Shows 'docker exec <container-name> cat /data/.bootstrap_token'
* Bare metal: Shows 'cat /etc/pulse/.bootstrap_token'
- Collapsed alternative methods behind 'Show other retrieval methods' button
This addresses user feedback that showing all options was overwhelming.
Now users see the command most likely to work for their setup first,
with alternatives hidden but still accessible.
