Improve Evaluators with AI

cURL

curl --request POST \
  --url https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/ \
  --header 'Content-Type: application/json' \
  --header 'X-CEKURA-API-KEY: <api-key>' \
  --data '
{
  "user_message": "",
  "agent_id": 123,
  "project_id": 123,
  "session_id": 123,
  "context": [
    {
      "content": "<string>"
    }
  ],
  "num_scenarios": 1,
  "knowledge_base": [
    123
  ],
  "scenarios": "<unknown>",
  "apply_changes": false,
  "updated_scenarios": [
    {}
  ],
  "agent_selections": {},
  "agent_resolution_response": "",
  "scenarios_needing_agent": [
    123
  ],
  "pending_tool_calls": [
    {}
  ],
  "tool_ids": [
    "<string>"
  ],
  "inbound_phone_numbers": [
    123
  ]
}
'

import requests

url = "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/"

payload = {
    "user_message": "",
    "agent_id": 123,
    "project_id": 123,
    "session_id": 123,
    "context": [{ "content": "<string>" }],
    "num_scenarios": 1,
    "knowledge_base": [123],
    "scenarios": "<unknown>",
    "apply_changes": False,
    "updated_scenarios": [{}],
    "agent_selections": {},
    "agent_resolution_response": "",
    "scenarios_needing_agent": [123],
    "pending_tool_calls": [{}],
    "tool_ids": ["<string>"],
    "inbound_phone_numbers": [123]
}
headers = {
    "X-CEKURA-API-KEY": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-CEKURA-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    user_message: '',
    agent_id: 123,
    project_id: 123,
    session_id: 123,
    context: [{content: '<string>'}],
    num_scenarios: 1,
    knowledge_base: [123],
    scenarios: '<unknown>',
    apply_changes: false,
    updated_scenarios: [{}],
    agent_selections: {},
    agent_resolution_response: '',
    scenarios_needing_agent: [123],
    pending_tool_calls: [{}],
    tool_ids: ['<string>'],
    inbound_phone_numbers: [123]
  })
};

fetch('https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'user_message' => '',
    'agent_id' => 123,
    'project_id' => 123,
    'session_id' => 123,
    'context' => [
        [
                'content' => '<string>'
        ]
    ],
    'num_scenarios' => 1,
    'knowledge_base' => [
        123
    ],
    'scenarios' => '<unknown>',
    'apply_changes' => false,
    'updated_scenarios' => [
        [
                
        ]
    ],
    'agent_selections' => [
        
    ],
    'agent_resolution_response' => '',
    'scenarios_needing_agent' => [
        123
    ],
    'pending_tool_calls' => [
        [
                
        ]
    ],
    'tool_ids' => [
        '<string>'
    ],
    'inbound_phone_numbers' => [
        123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-CEKURA-API-KEY: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/"

	payload := strings.NewReader("{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-CEKURA-API-KEY", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/")
  .header("X-CEKURA-API-KEY", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/")

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

request = Net::HTTP::Post.new(url)
request["X-CEKURA-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}"

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

{
  "progress_id": "<string>",
  "session_id": 123
}

{
  "field_name": [
    "<string>"
  ]
}

POST

test_framework

scenarios

scenario-agent

cURL

curl --request POST \
  --url https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/ \
  --header 'Content-Type: application/json' \
  --header 'X-CEKURA-API-KEY: <api-key>' \
  --data '
{
  "user_message": "",
  "agent_id": 123,
  "project_id": 123,
  "session_id": 123,
  "context": [
    {
      "content": "<string>"
    }
  ],
  "num_scenarios": 1,
  "knowledge_base": [
    123
  ],
  "scenarios": "<unknown>",
  "apply_changes": false,
  "updated_scenarios": [
    {}
  ],
  "agent_selections": {},
  "agent_resolution_response": "",
  "scenarios_needing_agent": [
    123
  ],
  "pending_tool_calls": [
    {}
  ],
  "tool_ids": [
    "<string>"
  ],
  "inbound_phone_numbers": [
    123
  ]
}
'

import requests

url = "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/"

payload = {
    "user_message": "",
    "agent_id": 123,
    "project_id": 123,
    "session_id": 123,
    "context": [{ "content": "<string>" }],
    "num_scenarios": 1,
    "knowledge_base": [123],
    "scenarios": "<unknown>",
    "apply_changes": False,
    "updated_scenarios": [{}],
    "agent_selections": {},
    "agent_resolution_response": "",
    "scenarios_needing_agent": [123],
    "pending_tool_calls": [{}],
    "tool_ids": ["<string>"],
    "inbound_phone_numbers": [123]
}
headers = {
    "X-CEKURA-API-KEY": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-CEKURA-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    user_message: '',
    agent_id: 123,
    project_id: 123,
    session_id: 123,
    context: [{content: '<string>'}],
    num_scenarios: 1,
    knowledge_base: [123],
    scenarios: '<unknown>',
    apply_changes: false,
    updated_scenarios: [{}],
    agent_selections: {},
    agent_resolution_response: '',
    scenarios_needing_agent: [123],
    pending_tool_calls: [{}],
    tool_ids: ['<string>'],
    inbound_phone_numbers: [123]
  })
};

fetch('https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'user_message' => '',
    'agent_id' => 123,
    'project_id' => 123,
    'session_id' => 123,
    'context' => [
        [
                'content' => '<string>'
        ]
    ],
    'num_scenarios' => 1,
    'knowledge_base' => [
        123
    ],
    'scenarios' => '<unknown>',
    'apply_changes' => false,
    'updated_scenarios' => [
        [
                
        ]
    ],
    'agent_selections' => [
        
    ],
    'agent_resolution_response' => '',
    'scenarios_needing_agent' => [
        123
    ],
    'pending_tool_calls' => [
        [
                
        ]
    ],
    'tool_ids' => [
        '<string>'
    ],
    'inbound_phone_numbers' => [
        123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-CEKURA-API-KEY: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/"

	payload := strings.NewReader("{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-CEKURA-API-KEY", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/")
  .header("X-CEKURA-API-KEY", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cekura.ai/test_framework/v1/scenarios/scenario-agent/")

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

request = Net::HTTP::Post.new(url)
request["X-CEKURA-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"user_message\": \"\",\n  \"agent_id\": 123,\n  \"project_id\": 123,\n  \"session_id\": 123,\n  \"context\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"num_scenarios\": 1,\n  \"knowledge_base\": [\n    123\n  ],\n  \"scenarios\": \"<unknown>\",\n  \"apply_changes\": false,\n  \"updated_scenarios\": [\n    {}\n  ],\n  \"agent_selections\": {},\n  \"agent_resolution_response\": \"\",\n  \"scenarios_needing_agent\": [\n    123\n  ],\n  \"pending_tool_calls\": [\n    {}\n  ],\n  \"tool_ids\": [\n    \"<string>\"\n  ],\n  \"inbound_phone_numbers\": [\n    123\n  ]\n}"

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

{
  "progress_id": "<string>",
  "session_id": 123
}

{
  "field_name": [
    "<string>"
  ]
}

Authorizations

X-CEKURA-API-KEY

string

header

required

API Key Authentication. It should be included in the header of each request.

Body

Create or improve evaluator scenarios using AI by providing natural-language feedback. This endpoint does not improve the target AI agent itself.

Provide evaluator IDs and your improvement request, and the AI will suggest changes.

user_message

string

default:""

Evaluator-scenario request (e.g., 'Make these scenario instructions more detailed'). Do not use for agent prompt/config improvements.

agent_id

integer | null

Agent ID - optional, automatically inferred from evaluators if not provided

project_id

integer | null

Project ID - optional, automatically inferred from evaluators if not provided

session_id

integer | null

Session ID for tracking - automatically created if not provided

context

object[] | null

Conversation history for multi-turn improvements. Allows iterative refinement without sessions.

Example:

[
   {
      "role": "user",
      "content": "Add DTMF tool to all evaluators"
   },
   {
      "role": "assistant",
      "content": "Added DTMF tool to 3 evaluators"
   },
   {
      "role": "user",
      "content": "Make the instructions more detailed"
   },
   {
      "role": "assistant",
      "content": "Updated instructions to be more detailed for 3 evaluators"
   }
]

Show child attributes

num_scenarios

integer

default:1

Number of scenarios to generate in clarify mode

Required range: x >= 1

knowledge_base

integer[]

Knowledge Base file IDs for additional context in clarify mode

scenarios

any | null

Evaluator IDs to improve. Pass as a list of integers [101, 102], a single integer 101, or the string "all" to improve all evaluators for the agent. Do not pass IDs as a JSON-stringified list — pass them as a native array.

apply_changes

boolean

default:false

Set to true to apply the AI-suggested changes to your evaluators

updated_scenarios

object[]

AI-suggested changes from previous response - use with apply_changes=true to apply them

Show child attributes

agent_selections

object

Structured agent selections: maps scenario_id (as string key) to agent_id. Use this instead of agent_resolution_response.

Show child attributes

agent_resolution_response

string

default:""

Deprecated: use agent_selections instead

scenarios_needing_agent

integer[]

Evaluator IDs that required agent selection

pending_tool_calls

object[] | null

Tool calls held from a previous agent-clarification response

Show child attributes

tool_ids

string[]

Tools that will be enabled on the generated evaluators (validated up front)

inbound_phone_numbers

integer[]

Inbound numbers that will be attached to the generated evaluators (validated up front)

Response

progress_id

string

required

Use this to poll for results at /scenario-agent-progress/?progress_id={id}

session_id

integer

required

Session tracking ID

Create Cronjob Poll Improvement Progress

⌘I