feat(ai-sre): add 7 agent tools — restart/scale/delete/cordon/describe + parallel log analysis - #15
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runbook_tools.py: - restart_deployment: kubectl rollout restart deployment/X -n Y (safe, no downtime) - scale_deployment: kubectl scale deployment/X --replicas=N (clamped 0-50) - delete_stuck_pod: kubectl delete pod X [--force --grace-period=0] for stuck pods - cordon_node / uncordon_node: prevent scheduling on pressured nodes - describe_cluster_resource: kubectl describe on pod/deployment/node/service/pvc/etc log_tools.py: - analyze_logs_for_namespace: parallel log analysis across all running pods in namespace, returns aggregated error counts, categories, worst offender agents.py: - log_agent: +analyze_logs_for_namespace - infra_agent: +describe_cluster_resource - runbook_agent: +restart_deployment +scale_deployment +delete_stuck_pod +cordon_node
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Summary
runbook_agentandinfra_agentlog_agentagents.pyNew tools
runbook_tools.py
restart_deployment(name, namespace)—kubectl rollout restart, safe/no-downtimescale_deployment(name, replicas, namespace)— clamped 0–50delete_stuck_pod(name, namespace, force)— optional--grace-period=0cordon_node(name, uncordon)— prevent/re-enable schedulingdescribe_cluster_resource(type, name, namespace)— safe allowlist: pod/deployment/node/service/pvc/replicaset/statefulset/daemonset/joblog_tools.py
analyze_logs_for_namespace(namespace, max_pods)— parallel log analysis viaThreadPoolExecutor(max_workers=5), returns aggregated error counts, category breakdown, worst offender podAgent wiring
log_agent←analyze_logs_for_namespaceinfra_agent←describe_cluster_resourcerunbook_agent←restart_deployment,scale_deployment,delete_stuck_pod,cordon_nodeTest plan
analyze_logs_for_namespacereturnspod_breakdownsorted by error_countrestart_deploymentblocked whenDRY_RUN=truein configdescribe_cluster_resourcerejects invalidresource_typewith error JSON