MCPUpdate an eval scenario
curl --request PATCH \
--url https://aipro.placetel.de/api/v1/evals/{id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"agent_id": 123,
"number_id": 123,
"description": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"cases": [
{
"name": "<string>",
"context": "<string>",
"mode": "scripted",
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [
{
"name": "<string>"
}
],
"turns": [
{
"user_input": "<string>",
"name": "<string>",
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": [
"<string>"
],
"assistant_contains_any": [
"<string>"
],
"assistant_not_contains": [
"<string>"
],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"no_more_events": false,
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
]
}
'import requests
url = "https://aipro.placetel.de/api/v1/evals/{id}"
payload = {
"name": "<string>",
"agent_id": 123,
"number_id": 123,
"description": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"cases": [
{
"name": "<string>",
"context": "<string>",
"mode": "scripted",
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [{ "name": "<string>" }],
"turns": [
{
"user_input": "<string>",
"name": "<string>",
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": ["<string>"],
"assistant_contains_any": ["<string>"],
"assistant_not_contains": ["<string>"],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"no_more_events": False,
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
agent_id: 123,
number_id: 123,
description: '<string>',
meta: {
caller_model: '<string>',
judge_model: '<string>',
mock_responses: {},
tool_variants: [
{
name: '<string>',
prompt_override: '<string>',
system_override: '<string>',
model_override: '<string>',
temperature_override: '<string>',
tool_overrides: {}
}
]
},
cases: [
{
name: '<string>',
context: '<string>',
mode: 'scripted',
user_persona: '<string>',
opening_message: '<string>',
max_turns: 123,
goal_intent: '<string>',
goal_tool_calls: [{name: '<string>'}],
turns: [
{
user_input: '<string>',
name: '<string>',
original_assistant_response: '<string>',
assistant_intent: '<string>',
assistant_contains: ['<string>'],
assistant_contains_any: ['<string>'],
assistant_not_contains: ['<string>'],
tool_calls: [{name: '<string>', arguments_contains: {}}],
no_more_events: false,
source: {
conversation_id: 123,
conversation_name: '<string>',
imported_at: '2023-11-07T05:31:56Z'
}
}
],
source: {
conversation_id: 123,
conversation_name: '<string>',
imported_at: '2023-11-07T05:31:56Z'
}
}
]
})
};
fetch('https://aipro.placetel.de/api/v1/evals/{id}', 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://aipro.placetel.de/api/v1/evals/{id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'agent_id' => 123,
'number_id' => 123,
'description' => '<string>',
'meta' => [
'caller_model' => '<string>',
'judge_model' => '<string>',
'mock_responses' => [
],
'tool_variants' => [
[
'name' => '<string>',
'prompt_override' => '<string>',
'system_override' => '<string>',
'model_override' => '<string>',
'temperature_override' => '<string>',
'tool_overrides' => [
]
]
]
],
'cases' => [
[
'name' => '<string>',
'context' => '<string>',
'mode' => 'scripted',
'user_persona' => '<string>',
'opening_message' => '<string>',
'max_turns' => 123,
'goal_intent' => '<string>',
'goal_tool_calls' => [
[
'name' => '<string>'
]
],
'turns' => [
[
'user_input' => '<string>',
'name' => '<string>',
'original_assistant_response' => '<string>',
'assistant_intent' => '<string>',
'assistant_contains' => [
'<string>'
],
'assistant_contains_any' => [
'<string>'
],
'assistant_not_contains' => [
'<string>'
],
'tool_calls' => [
[
'name' => '<string>',
'arguments_contains' => [
]
]
],
'no_more_events' => false,
'source' => [
'conversation_id' => 123,
'conversation_name' => '<string>',
'imported_at' => '2023-11-07T05:31:56Z'
]
]
],
'source' => [
'conversation_id' => 123,
'conversation_name' => '<string>',
'imported_at' => '2023-11-07T05:31:56Z'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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://aipro.placetel.de/api/v1/evals/{id}"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.patch("https://aipro.placetel.de/api/v1/evals/{id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://aipro.placetel.de/api/v1/evals/{id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": 123,
"name": "<string>",
"slug": "<string>",
"active": true,
"cases": [
{
"id": 123,
"name": "<string>",
"position": 123,
"mode": "scripted",
"turns": [
{
"id": 123,
"name": "<string>",
"position": 123,
"user_input": "<string>",
"no_more_events": true,
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": [
"<string>"
],
"assistant_contains_any": [
"<string>"
],
"assistant_not_contains": [
"<string>"
],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"context": "<string>",
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
},
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [
{
"name": "<string>"
}
]
}
],
"recent_runs": [
{
"id": 123,
"status": "pending",
"sequence_number": 123,
"total_cases": 123,
"passed_cases": 123,
"failed_cases": 123,
"started_at": "2023-11-07T05:31:56Z",
"completed_at": "2023-11-07T05:31:56Z",
"duration": 123,
"results": "<unknown>",
"error_message": "<string>"
}
],
"runs_pagination": {
"current_page": 123,
"total_pages": 123,
"total_entries": 123
},
"agent_id": 123,
"description": "<string>",
"number_id": 123,
"number_name": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"latest_run": {
"id": 123,
"status": "pending",
"total_cases": 123,
"passed_cases": 123,
"failed_cases": 123,
"completed_at": "2023-11-07T05:31:56Z"
},
"agent_name": "<string>"
}Evals
Update an eval scenario
Replaces the whole scenario, although the method is PATCH: name, agent_id, description and
meta are taken from the body (omitted fields are cleared) and all existing cases are deleted and
rebuilt from the body. Omitting cases removes every case. PUT on this path behaves identically.
PATCH
/
api
/
v1
/
evals
/
{id}
Update an eval scenario
curl --request PATCH \
--url https://aipro.placetel.de/api/v1/evals/{id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"agent_id": 123,
"number_id": 123,
"description": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"cases": [
{
"name": "<string>",
"context": "<string>",
"mode": "scripted",
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [
{
"name": "<string>"
}
],
"turns": [
{
"user_input": "<string>",
"name": "<string>",
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": [
"<string>"
],
"assistant_contains_any": [
"<string>"
],
"assistant_not_contains": [
"<string>"
],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"no_more_events": false,
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
]
}
'import requests
url = "https://aipro.placetel.de/api/v1/evals/{id}"
payload = {
"name": "<string>",
"agent_id": 123,
"number_id": 123,
"description": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"cases": [
{
"name": "<string>",
"context": "<string>",
"mode": "scripted",
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [{ "name": "<string>" }],
"turns": [
{
"user_input": "<string>",
"name": "<string>",
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": ["<string>"],
"assistant_contains_any": ["<string>"],
"assistant_not_contains": ["<string>"],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"no_more_events": False,
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'PATCH',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
agent_id: 123,
number_id: 123,
description: '<string>',
meta: {
caller_model: '<string>',
judge_model: '<string>',
mock_responses: {},
tool_variants: [
{
name: '<string>',
prompt_override: '<string>',
system_override: '<string>',
model_override: '<string>',
temperature_override: '<string>',
tool_overrides: {}
}
]
},
cases: [
{
name: '<string>',
context: '<string>',
mode: 'scripted',
user_persona: '<string>',
opening_message: '<string>',
max_turns: 123,
goal_intent: '<string>',
goal_tool_calls: [{name: '<string>'}],
turns: [
{
user_input: '<string>',
name: '<string>',
original_assistant_response: '<string>',
assistant_intent: '<string>',
assistant_contains: ['<string>'],
assistant_contains_any: ['<string>'],
assistant_not_contains: ['<string>'],
tool_calls: [{name: '<string>', arguments_contains: {}}],
no_more_events: false,
source: {
conversation_id: 123,
conversation_name: '<string>',
imported_at: '2023-11-07T05:31:56Z'
}
}
],
source: {
conversation_id: 123,
conversation_name: '<string>',
imported_at: '2023-11-07T05:31:56Z'
}
}
]
})
};
fetch('https://aipro.placetel.de/api/v1/evals/{id}', 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://aipro.placetel.de/api/v1/evals/{id}",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "PATCH",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'agent_id' => 123,
'number_id' => 123,
'description' => '<string>',
'meta' => [
'caller_model' => '<string>',
'judge_model' => '<string>',
'mock_responses' => [
],
'tool_variants' => [
[
'name' => '<string>',
'prompt_override' => '<string>',
'system_override' => '<string>',
'model_override' => '<string>',
'temperature_override' => '<string>',
'tool_overrides' => [
]
]
]
],
'cases' => [
[
'name' => '<string>',
'context' => '<string>',
'mode' => 'scripted',
'user_persona' => '<string>',
'opening_message' => '<string>',
'max_turns' => 123,
'goal_intent' => '<string>',
'goal_tool_calls' => [
[
'name' => '<string>'
]
],
'turns' => [
[
'user_input' => '<string>',
'name' => '<string>',
'original_assistant_response' => '<string>',
'assistant_intent' => '<string>',
'assistant_contains' => [
'<string>'
],
'assistant_contains_any' => [
'<string>'
],
'assistant_not_contains' => [
'<string>'
],
'tool_calls' => [
[
'name' => '<string>',
'arguments_contains' => [
]
]
],
'no_more_events' => false,
'source' => [
'conversation_id' => 123,
'conversation_name' => '<string>',
'imported_at' => '2023-11-07T05:31:56Z'
]
]
],
'source' => [
'conversation_id' => 123,
'conversation_name' => '<string>',
'imported_at' => '2023-11-07T05:31:56Z'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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://aipro.placetel.de/api/v1/evals/{id}"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}")
req, _ := http.NewRequest("PATCH", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.patch("https://aipro.placetel.de/api/v1/evals/{id}")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://aipro.placetel.de/api/v1/evals/{id}")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"agent_id\": 123,\n \"number_id\": 123,\n \"description\": \"<string>\",\n \"meta\": {\n \"caller_model\": \"<string>\",\n \"judge_model\": \"<string>\",\n \"mock_responses\": {},\n \"tool_variants\": [\n {\n \"name\": \"<string>\",\n \"prompt_override\": \"<string>\",\n \"system_override\": \"<string>\",\n \"model_override\": \"<string>\",\n \"temperature_override\": \"<string>\",\n \"tool_overrides\": {}\n }\n ]\n },\n \"cases\": [\n {\n \"name\": \"<string>\",\n \"context\": \"<string>\",\n \"mode\": \"scripted\",\n \"user_persona\": \"<string>\",\n \"opening_message\": \"<string>\",\n \"max_turns\": 123,\n \"goal_intent\": \"<string>\",\n \"goal_tool_calls\": [\n {\n \"name\": \"<string>\"\n }\n ],\n \"turns\": [\n {\n \"user_input\": \"<string>\",\n \"name\": \"<string>\",\n \"original_assistant_response\": \"<string>\",\n \"assistant_intent\": \"<string>\",\n \"assistant_contains\": [\n \"<string>\"\n ],\n \"assistant_contains_any\": [\n \"<string>\"\n ],\n \"assistant_not_contains\": [\n \"<string>\"\n ],\n \"tool_calls\": [\n {\n \"name\": \"<string>\",\n \"arguments_contains\": {}\n }\n ],\n \"no_more_events\": false,\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ],\n \"source\": {\n \"conversation_id\": 123,\n \"conversation_name\": \"<string>\",\n \"imported_at\": \"2023-11-07T05:31:56Z\"\n }\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": 123,
"name": "<string>",
"slug": "<string>",
"active": true,
"cases": [
{
"id": 123,
"name": "<string>",
"position": 123,
"mode": "scripted",
"turns": [
{
"id": 123,
"name": "<string>",
"position": 123,
"user_input": "<string>",
"no_more_events": true,
"original_assistant_response": "<string>",
"assistant_intent": "<string>",
"assistant_contains": [
"<string>"
],
"assistant_contains_any": [
"<string>"
],
"assistant_not_contains": [
"<string>"
],
"tool_calls": [
{
"name": "<string>",
"arguments_contains": {}
}
],
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
}
}
],
"context": "<string>",
"source": {
"conversation_id": 123,
"conversation_name": "<string>",
"imported_at": "2023-11-07T05:31:56Z"
},
"user_persona": "<string>",
"opening_message": "<string>",
"max_turns": 123,
"goal_intent": "<string>",
"goal_tool_calls": [
{
"name": "<string>"
}
]
}
],
"recent_runs": [
{
"id": 123,
"status": "pending",
"sequence_number": 123,
"total_cases": 123,
"passed_cases": 123,
"failed_cases": 123,
"started_at": "2023-11-07T05:31:56Z",
"completed_at": "2023-11-07T05:31:56Z",
"duration": 123,
"results": "<unknown>",
"error_message": "<string>"
}
],
"runs_pagination": {
"current_page": 123,
"total_pages": 123,
"total_entries": 123
},
"agent_id": 123,
"description": "<string>",
"number_id": 123,
"number_name": "<string>",
"meta": {
"caller_model": "<string>",
"judge_model": "<string>",
"mock_responses": {},
"tool_variants": [
{
"name": "<string>",
"prompt_override": "<string>",
"system_override": "<string>",
"model_override": "<string>",
"temperature_override": "<string>",
"tool_overrides": {}
}
]
},
"latest_run": {
"id": 123,
"status": "pending",
"total_cases": 123,
"passed_cases": 123,
"failed_cases": 123,
"completed_at": "2023-11-07T05:31:56Z"
},
"agent_name": "<string>"
}Autorisierungen
Scoped API token. Required scopes are listed on each operation in x-required-scopes.
Pfadparameter
ID of the eval scenario.
Body
application/json
Request body for create and replace. id, slug, active and position are ignored if sent.
Scenario name. slug is generated from it (lowercase letters, digits and underscores).
The voice agent to evaluate (its id from GET /api/v1/voice_agents).
Deprecated alias of agent_id.
Free-text description.
Models and overrides used when running the scenario.
Show child attributes
Show child attributes
Test cases of the scenario.
Show child attributes
Show child attributes
Antwort
The replaced scenario.
Full scenario as returned by get, create, replace and duplicate.
ID of the scenario.
Scenario name.
URL-safe identifier generated from name.
Whether the scenario is active in the dashboard.
Test cases in order.
Show child attributes
Show child attributes
A page of recent runs, newest first.
Show child attributes
Show child attributes
Paging information for recent_runs.
Show child attributes
Show child attributes
The voice agent the scenario tests.
Free-text description.
Deprecated alias of agent_id.
Deprecated alias of agent_name.
Models and overrides used when running the scenario.
Show child attributes
Show child attributes
Summary of the most recent run.
Show child attributes
Show child attributes
Name of that voice agent.
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