Obter Plano de Remediação

Get Remediation Plan

curl --request GET \
  --url http://{host}:{port}/{basePath}/remediations/{name} \
  --header 'Authorization: <api-key>'

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('http://{host}:{port}/{basePath}/remediations/{name}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "62437",
  CURLOPT_URL => "http://{host}:{port}/{basePath}/remediations/{name}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "http://{host}:{port}/{basePath}/remediations/{name}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("http://{host}:{port}/{basePath}/remediations/{name}")

http = Net::HTTP.new(url.host, url.port)

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

{
  "apiVersion": "v1",
  "kind": "RemediationPlan",
  "resourceMeta": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "creationTimestamp": "2026-03-19T15:09:00Z"
  },
  "spec": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "issueRef": "INC-20260319-002",
    "attempt": 1,
    "strategy": "Agentic mode: no matching runbook found",
    "state": "Completed",
    "startedAt": "2026-03-19T15:10:00Z",
    "completedAt": "2026-03-19T15:16:00Z",
    "result": "Issue resolved after 4 agentic steps",
    "agenticMode": true,
    "agenticStepCount": 4,
    "actions": [],
    "creationTimestamp": "2026-03-19T15:09:00Z",
    "safetyConstraints": [
      "Do not scale below current replica count",
      "Verify health for 90 seconds after each action"
    ],
    "evidence": [
      {
        "type": "action_success",
        "data": "ScaleDeployment executed: replicas 3 -> 5",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "type": "health_check",
        "data": "All 5/5 pods ready after 45 seconds",
        "timestamp": "2026-03-19T15:12:30Z"
      }
    ],
    "rollbackPerformed": false,
    "rollbackResult": "",
    "agenticHistory": [
      {
        "stepNumber": 1,
        "aiMessage": "The deployment has 3 replicas but CPU usage is at 95%. The error rate spike correlates with high CPU. I'll scale up to reduce per-pod load.",
        "action": {"type": "ScaleDeployment", "params": {"replicas": "5"}},
        "observation": "ScaleDeployment executed successfully. New pods are starting.",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "stepNumber": 2,
        "aiMessage": "Pods are starting. Let me observe the metrics to verify the scale-up is helping.",
        "action": null,
        "observation": "5/5 pods ready. CPU usage dropped to 62%. Error rate decreasing.",
        "timestamp": "2026-03-19T15:12:30Z"
      },
      {
        "stepNumber": 3,
        "aiMessage": "CPU is now at safe levels and error rate is dropping. Let me also adjust the HPA to prevent this from happening again.",
        "action": {"type": "AdjustHPA", "params": {"maxReplicas": "8", "targetCPU": "70"}},
        "observation": "HPA updated. maxReplicas=8, targetCPU=70%.",
        "timestamp": "2026-03-19T15:14:00Z"
      },
      {
        "stepNumber": 4,
        "aiMessage": "The deployment is stable with healthy CPU usage and zero errors. The HPA will handle future load spikes. Issue resolved.",
        "action": null,
        "observation": "Health verified: all pods ready, error rate 0%, CPU 58%.",
        "timestamp": "2026-03-19T15:16:00Z"
      }
    ]
  }
}

GET

remediations

{name}

Get Remediation Plan

curl --request GET \
  --url http://{host}:{port}/{basePath}/remediations/{name} \
  --header 'Authorization: <api-key>'

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('http://{host}:{port}/{basePath}/remediations/{name}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "62437",
  CURLOPT_URL => "http://{host}:{port}/{basePath}/remediations/{name}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "http://{host}:{port}/{basePath}/remediations/{name}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("http://{host}:{port}/{basePath}/remediations/{name}")

http = Net::HTTP.new(url.host, url.port)

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

{
  "apiVersion": "v1",
  "kind": "RemediationPlan",
  "resourceMeta": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "creationTimestamp": "2026-03-19T15:09:00Z"
  },
  "spec": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "issueRef": "INC-20260319-002",
    "attempt": 1,
    "strategy": "Agentic mode: no matching runbook found",
    "state": "Completed",
    "startedAt": "2026-03-19T15:10:00Z",
    "completedAt": "2026-03-19T15:16:00Z",
    "result": "Issue resolved after 4 agentic steps",
    "agenticMode": true,
    "agenticStepCount": 4,
    "actions": [],
    "creationTimestamp": "2026-03-19T15:09:00Z",
    "safetyConstraints": [
      "Do not scale below current replica count",
      "Verify health for 90 seconds after each action"
    ],
    "evidence": [
      {
        "type": "action_success",
        "data": "ScaleDeployment executed: replicas 3 -> 5",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "type": "health_check",
        "data": "All 5/5 pods ready after 45 seconds",
        "timestamp": "2026-03-19T15:12:30Z"
      }
    ],
    "rollbackPerformed": false,
    "rollbackResult": "",
    "agenticHistory": [
      {
        "stepNumber": 1,
        "aiMessage": "The deployment has 3 replicas but CPU usage is at 95%. The error rate spike correlates with high CPU. I'll scale up to reduce per-pod load.",
        "action": {"type": "ScaleDeployment", "params": {"replicas": "5"}},
        "observation": "ScaleDeployment executed successfully. New pods are starting.",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "stepNumber": 2,
        "aiMessage": "Pods are starting. Let me observe the metrics to verify the scale-up is helping.",
        "action": null,
        "observation": "5/5 pods ready. CPU usage dropped to 62%. Error rate decreasing.",
        "timestamp": "2026-03-19T15:12:30Z"
      },
      {
        "stepNumber": 3,
        "aiMessage": "CPU is now at safe levels and error rate is dropping. Let me also adjust the HPA to prevent this from happening again.",
        "action": {"type": "AdjustHPA", "params": {"maxReplicas": "8", "targetCPU": "70"}},
        "observation": "HPA updated. maxReplicas=8, targetCPU=70%.",
        "timestamp": "2026-03-19T15:14:00Z"
      },
      {
        "stepNumber": 4,
        "aiMessage": "The deployment is stable with healthy CPU usage and zero errors. The HPA will handle future load spikes. Issue resolved.",
        "action": null,
        "observation": "Health verified: all pods ready, error rate 0%, CPU 58%.",
        "timestamp": "2026-03-19T15:16:00Z"
      }
    ]
  }
}

string

obrigatório

Nome único do plano de remediação

string

padrão:"default"

Namespace Kubernetes

Detalhes da Resposta

A resposta detalhada estende o item da lista com:

Campo	Descrição
`safetyConstraints`	Restrições que devem ser respeitadas durante a execução
`evidence`	Evidências coletadas durante a execução (logs, métricas, falhas, rollbacks)
`rollbackPerformed`	Se o rollback automático foi acionado
`rollbackResult`	Resultado da tentativa de rollback
`agenticHistory`	Raciocínio e ações passo a passo da IA (apenas modo agêntico)

Histórico Agêntico

Quando agenticMode é true, o array agenticHistory mostra a conversação completa da IA:

aiMessage: O raciocínio da IA para cada passo
action: A ação concreta proposta (null se for um passo apenas de observação)
observation: O resultado após executar a ação
stepNumber: Número sequencial do passo

Estes são os dados-chave para entender como a IA pensou durante o processo de remediação.

{
  "apiVersion": "v1",
  "kind": "RemediationPlan",
  "resourceMeta": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "creationTimestamp": "2026-03-19T15:09:00Z"
  },
  "spec": {
    "name": "remediation-inc-20260319-002-1",
    "namespace": "production",
    "issueRef": "INC-20260319-002",
    "attempt": 1,
    "strategy": "Agentic mode: no matching runbook found",
    "state": "Completed",
    "startedAt": "2026-03-19T15:10:00Z",
    "completedAt": "2026-03-19T15:16:00Z",
    "result": "Issue resolved after 4 agentic steps",
    "agenticMode": true,
    "agenticStepCount": 4,
    "actions": [],
    "creationTimestamp": "2026-03-19T15:09:00Z",
    "safetyConstraints": [
      "Do not scale below current replica count",
      "Verify health for 90 seconds after each action"
    ],
    "evidence": [
      {
        "type": "action_success",
        "data": "ScaleDeployment executed: replicas 3 -> 5",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "type": "health_check",
        "data": "All 5/5 pods ready after 45 seconds",
        "timestamp": "2026-03-19T15:12:30Z"
      }
    ],
    "rollbackPerformed": false,
    "rollbackResult": "",
    "agenticHistory": [
      {
        "stepNumber": 1,
        "aiMessage": "The deployment has 3 replicas but CPU usage is at 95%. The error rate spike correlates with high CPU. I'll scale up to reduce per-pod load.",
        "action": {"type": "ScaleDeployment", "params": {"replicas": "5"}},
        "observation": "ScaleDeployment executed successfully. New pods are starting.",
        "timestamp": "2026-03-19T15:11:00Z"
      },
      {
        "stepNumber": 2,
        "aiMessage": "Pods are starting. Let me observe the metrics to verify the scale-up is helping.",
        "action": null,
        "observation": "5/5 pods ready. CPU usage dropped to 62%. Error rate decreasing.",
        "timestamp": "2026-03-19T15:12:30Z"
      },
      {
        "stepNumber": 3,
        "aiMessage": "CPU is now at safe levels and error rate is dropping. Let me also adjust the HPA to prevent this from happening again.",
        "action": {"type": "AdjustHPA", "params": {"maxReplicas": "8", "targetCPU": "70"}},
        "observation": "HPA updated. maxReplicas=8, targetCPU=70%.",
        "timestamp": "2026-03-19T15:14:00Z"
      },
      {
        "stepNumber": 4,
        "aiMessage": "The deployment is stable with healthy CPU usage and zero errors. The HPA will handle future load spikes. Issue resolved.",
        "action": null,
        "observation": "Health verified: all pods ready, error rate 0%, CPU 58%.",
        "timestamp": "2026-03-19T15:16:00Z"
      }
    ]
  }
}

{
  "apiVersion": "v1",
  "kind": "Error",
  "error": {
    "code": 404,
    "message": "Remediation plan not found: remediation-inc-20260319-999"
  }
}

Autorizações

Authorization

string

header

obrigatório

Bearer token issued by the operator. Format: Authorization: Bearer <token>.

Parâmetros de caminho

name

string

obrigatório

Unique remediation plan name.

Exemplo:

"remediation-inc-20260319-002-1"

Parâmetros de consulta

namespace

string

padrão:default

Kubernetes namespace.

Resposta

Remediation plan details

apiVersion

string

Exemplo:

"v1"

kind

string

Exemplo:

"RemediationPlan"

resourceMeta

object

Show child attributes

spec

object

Show child attributes

Introdução

Incidents

AI Insights

Remediations

Runbooks

Approvals

SLOs

PostMortems

Analytics

Clusters

Federation

Audit

Health

Obter Plano de Remediação

Detalhes da Resposta

Histórico Agêntico

Autorizações

Parâmetros de caminho

Parâmetros de consulta

Resposta

​Detalhes da Resposta

​Histórico Agêntico

Autorizações

Parâmetros de caminho

Parâmetros de consulta

Resposta

Detalhes da Resposta

Histórico Agêntico