- OAuth endpoints now require settings:write scope (not just admin)
- Approval endpoints now require ai:execute scope
- Added CommandHash to approvals for replay protection
- Approvals are now single-use (consumed on first use)
- consumeApprovalWithValidation validates command matches approval
- Merge tools_infrastructure.go, tools_intelligence.go, tools_patrol.go,
tools_profiles.go into their respective domain tools
- Expand tools_control.go with command execution logic
- Expand tools_discovery.go with resource discovery handlers
- Expand tools_storage.go with storage-related operations
- Expand tools_metrics.go with metrics functionality
- Update tests to match new structure
This consolidation reduces file count and groups related functionality together.
Major new AI capabilities for infrastructure monitoring:
Investigation System:
- Autonomous finding investigation with configurable autonomy levels
- Investigation orchestrator with rate limiting and guardrails
- Safety checks for read-only mode enforcement
- Chat-based investigation with approval workflows
Forecasting & Remediation:
- Trend forecasting for resource capacity planning
- Remediation engine for generating fix proposals
- Circuit breaker for AI operation protection
Unified Findings:
- Unified store bridging alerts and AI findings
- Correlation and root cause analysis
- Incident coordinator with metrics recording
New Frontend:
- AI Intelligence page with patrol controls
- Investigation drawer for finding details
- Unified findings panel with actions
Supporting Infrastructure:
- Learning store for user preference tracking
- Proxmox event ingestion and correlation
- Enhanced patrol with investigation triggers
- Add comprehensive tests for internal/api/config_handlers.go (Phases 1-3)
- Improve test coverage for AI tools, chat service, and session management
- Enhance alert and notification tests (ResolvedAlert, Webhook)
- Add frontend unit tests for utils (searchHistory, tagColors, temperature, url)
- Add proximity client API tests
This refactoring removes the MCP (Model Context Protocol) server layer and
converts AI tools to be called directly by the chat service.
Key changes:
- Rename package from internal/ai/mcp to internal/ai/tools
- Remove server.go - tools no longer exposed via MCP server
- Tools are now called directly by the chat service via ExecuteTool()
New tools added:
- Kubernetes: clusters, nodes, pods, deployments (4 tools)
- PMG: mail gateway status, mail stats, queues, spam stats (4 tools)
- Infrastructure: snapshots, PBS jobs, backup tasks, network stats,
disk I/O, cluster status, swarm, services, tasks, recent tasks,
physical disks, RAID status, host Ceph, resource disks (14 tools)
- Patrol: connection health, resolved alerts (2 tools)
Test coverage:
- Added comprehensive test files for adapters, infrastructure,
patrol, profiles, and query tools
Total tools: 50 (was ~25)
2026-01-19 19:17:24 +00:00
Renamed from internal/ai/mcp/tools_control.go (Browse further)
