logikonline
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Implement critical production readiness features for AI integration: per-request provider config, admin dashboard, workflow inspection, and plugin framework foundation. Per-Request Provider Config: - Add ProviderConfig struct to all AI request types - Update queue to resolve provider/model/API key from cascade (repo > org > system) - Pass resolved config to AI sidecar on every request - Fixes multi-tenant issue where all orgs shared sidecar's hardcoded config Admin AI Dashboard: - Add /admin/ai page with sidecar health status - Display global operation stats (total, 24h, success/fail/escalated counts) - Show operations by tier, top 5 repos, token usage - Recent operations table with repo, operation, status, duration - Add GetGlobalOperationStats model method Workflow Inspection: - Add InspectWorkflow client method and types - Implement workflow-inspect queue handler - Add notifier trigger on workflow file push - Analyzes YAML for syntax errors, security issues, best practices - Returns structured issues with line numbers and suggested fixes Plugin Framework (Phase 5 Foundation): - Add external plugin config loading from app.ini - Define ExternalPlugin interface and manager - Add plugin.proto contract (Initialize, Shutdown, HealthCheck, OnEvent, HandleHTTP) - Implement health monitoring with auto-restart for managed plugins - Add event routing to subscribed plugins - HTTP proxy support for plugin-served routes This completes Tasks 1-4 from the production readiness plan and establishes the foundation for managed plugin lifecycle.