Model name detection used substring matching (.includes('gemini')) which
falsely required Gemini provider config for OpenRouter model IDs like
"google/gemini-2.5-flash". Now only known provider prefixes are treated
as explicit delimiters, slash-containing names route to OpenAI (OpenRouter
convention), and colons in model names (e.g. "llama3.2:latest") are no
longer misinterpreted as provider prefixes.
Some local LLM servers (LM Studio, llama.cpp) expose OpenAI-compatible
APIs but don't support function calling. When tools are sent to these
models, they output raw control tokens instead of proper responses.
This change adds:
- openai_tools_disabled config field in AIConfig
- AreToolsDisabledForProvider() method to check at runtime
- API support to get/set the new setting
- Tests for the new functionality
When enabled and using a custom OpenAI base URL, the chat service will
skip sending tools to the model, allowing basic chat functionality to
work even with models that don't support function calling.
Fixes#1154
The "Every" dropdown on the Patrol page was not being respected. Setting
15 min would show "Runs every 6 hours" and the countdown timer was wrong.
Root cause: PatrolSchedulePreset and PatrolIntervalMinutes had omitempty
JSON tags. When the API handler cleared the preset to "", json.Marshal
dropped the field. On reload, NewDefaultAIConfig() re-introduced "6hr"
as the preset, which took priority over the user's custom minutes.
Additional fixes in the same area:
- Track nextScheduledAt explicitly in the patrol loop so next_patrol_at
reflects the actual ticker schedule, not a stale lastPatrol + interval
calculation that diverges when the interval changes mid-cycle.
- Refetch patrol status in the frontend after an interval change so the
countdown timer updates immediately.
- Seed lastPatrol from persisted run history on startup so the header
countdown timer appears immediately after a backend restart.
- Remove deprecated config.ModelInfo type (use providers.ModelInfo)
- Remove deprecated GetAvailableModels function (always returned nil)
- Remove associated test
- Update AISettingsResponse to use providers.ModelInfo
OpenCode client improvements:
- Fix session listing with proper timestamp parsing
- Model selection with provider inference (anthropic, google, etc)
- Add session management APIs (summarize, diff, fork, revert)
- Generated session titles from first user message
Control level refactoring:
- IsAutonomous() helper for cleaner checks
- Legacy autonomous_mode maps to control_level for backwards compat
- Simplified system instructions (rely on tool descriptions instead)
Includes tests for model provider inference.
Add ability for users to describe what kind of agent profile they need
in natural language, and have AI generate a suggestion with name,
description, config values, and rationale.
- Add ProfileSuggestionHandler with schema-aware prompting
- Add SuggestProfileModal component with example prompts
- Update AgentProfilesPanel with suggest button and description field
- Streamline ValidConfigKeys to only agent-supported settings
- Update profile validation tests for simplified schema
The audit logging feature was showing the UI for Pro users but the
SQLiteLogger was never actually initialized - it fell back to the
ConsoleLogger which only writes to console and returns empty arrays
for queries.
This fix:
- Adds initAuditLoggerIfLicensed() helper to license_handlers.go
- Calls it when loading a persisted license at startup
- Calls it when activating a new license via API
- Creates SQLiteLogger with 90-day default retention when audit_logging
feature is enabled
The audit.db will be created in {dataDir}/audit/ when Pro is licensed.
- Add persistent volume mounts for Go/npm caches (faster rebuilds)
- Add shell config with helpful aliases and custom prompt
- Add comprehensive devcontainer documentation
- Add pre-commit hooks for Go formatting and linting
- Use go-version-file in CI workflows instead of hardcoded versions
- Simplify docker compose commands with --wait flag
- Add gitignore entries for devcontainer auth files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
BREAKING CHANGE: AI Patrol now uses EXACT alert thresholds by default
instead of warning 5-15% before the threshold.
Changes:
- Default behavior: Patrol warns at your configured threshold (e.g., 96% = warns at 96%)
- New setting: 'use_proactive_thresholds' enables the old early-warning behavior
- API: Added use_proactive_thresholds to GET/PUT /api/settings/ai
- Backend: Added SetProactiveMode/GetProactiveMode to PatrolService
- Backend: Added GetThresholds to PatrolService for UI display
- Tests: Updated and added tests for both exact and proactive modes
- Also fixed unused imports in dockeragent/agent.go
When proactive mode is disabled (default):
- Watch: threshold - 5% (slight buffer)
- Warning: exact threshold
When proactive mode is enabled:
- Watch: threshold - 15%
- Warning: threshold - 5%
Related to #951
Users who haven't enabled AI were seeing AI patrol findings from
heuristic analysis that they couldn't dismiss (license-gated).
- IsPatrolEnabled() now checks if Enabled is true
- IsAlertTriggeredAnalysisEnabled() also checks Enabled
- Updated tests to reflect new behavior
AI patrol and alert-triggered analysis require AI to be enabled
as a master switch. This prevents confusing UX where users see
AI features without having configured them.
Adds RequestTimeoutSeconds to AI config (default 300s / 5 min).
Users with low-power hardware running Ollama can increase this
value in Settings to prevent timeouts on slower inference.
Bug Fixes:
- Fix boolean fields with 'omitempty' not persisting false values
- AlertTriggeredAnalysis, PatrolAnalyzeNodes/Guests/Docker/Storage
- omitempty causes Go to skip false (zero value) when marshaling JSON
- On reload, NewDefaultAIConfig() sets true, and missing field stays true
- Fix model dropdown losing selection after save (SolidJS reactivity issue)
- Added explicit 'selected' attribute to option elements
- Ensures browser maintains selection with optgroups during re-renders
Improvements:
- Change patrol type label from 'Quick' to 'Patrol' in history table
- Add chat_model and patrol_model to AI settings update log
- Add alert_triggered_analysis to AI config load log for debugging
The issue was a SolidJS reactivity problem in the Dashboard component.
When guestMetadata signal was accessed inside a For loop callback and
assigned to a plain variable, SolidJS lost reactive tracking.
Changed from:
const metadata = guestMetadata()[guestId] || ...
customUrl={metadata?.customUrl}
To:
const getMetadata = () => guestMetadata()[guestId] || ...
customUrl={getMetadata()?.customUrl}
This ensures SolidJS properly tracks the signal dependency when the
getter function is called directly in JSX props.
When a user configures only Ollama (or any single provider) via the
multi-provider UI without explicitly selecting a model, GetModel() now
returns that provider's default model instead of falling back to the
legacy Provider field which defaults to "anthropic".
This fixes "API key is required for anthropic" errors when enabling AI
with only Ollama configured.
Related to #847
Add configurable model specifically for automatic remediation actions:
Backend (internal/config/ai.go):
- Add AutoFixModel field to AIConfig
- Add GetAutoFixModel() getter with fallback chain:
AutoFixModel -> PatrolModel -> Model
Frontend (AISettings.tsx, types/ai.ts):
- Add auto_fix_model to AISettings types
- Add Auto-Fix Model dropdown (only shows when patrol_auto_fix enabled)
- Falls back to patrol model if not set
API (ai_handlers.go):
- Add auto_fix_model to response and update request
- Handle saving/loading the new field
Rationale:
- Auto-fix takes real actions, may warrant a more capable model
- Patrol observation can use cheaper models for cost savings
- Gives users granular control over model costs vs reliability
- Model hierarchy: Chat > AutoFix > Patrol > Default
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
- 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 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
- 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
