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PATCH
/
v1
/
evals
/
agents
/
{eval_agent_id}
/
versions
/
{version_id}
Update Eval Agent Version
curl --request PATCH \
  --url https://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_id} \
  --header 'Content-Type: application/json' \
  --header 'authorization: <authorization>' \
  --data '
{
  "name": "<string>",
  "description": {},
  "modality": "<string>",
  "system_prompt_md": "<string>",
  "prompt_md": "<string>",
  "levels": {},
  "target_level_keys": {},
  "weight": 123
}
'
import requests

url = "https://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_id}"

payload = {
    "name": "<string>",
    "description": {},
    "modality": "<string>",
    "system_prompt_md": "<string>",
    "prompt_md": "<string>",
    "levels": {},
    "target_level_keys": {},
    "weight": 123
}
headers = {
    "authorization": "<authorization>",
    "Content-Type": "application/json"
}

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

print(response.text)
const options = {
  method: 'PATCH',
  headers: {authorization: '<authorization>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    description: {},
    modality: '<string>',
    system_prompt_md: '<string>',
    prompt_md: '<string>',
    levels: {},
    target_level_keys: {},
    weight: 123
  })
};

fetch('https://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_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://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_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>',
    'description' => [
        
    ],
    'modality' => '<string>',
    'system_prompt_md' => '<string>',
    'prompt_md' => '<string>',
    'levels' => [
        
    ],
    'target_level_keys' => [
        
    ],
    'weight' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "authorization: <authorization>"
  ],
]);

$response = curl_exec($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.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_id}"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"modality\": \"<string>\",\n  \"system_prompt_md\": \"<string>\",\n  \"prompt_md\": \"<string>\",\n  \"levels\": {},\n  \"target_level_keys\": {},\n  \"weight\": 123\n}")

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

	req.Header.Add("authorization", "<authorization>")
	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://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_id}")
  .header("authorization", "<authorization>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"modality\": \"<string>\",\n  \"system_prompt_md\": \"<string>\",\n  \"prompt_md\": \"<string>\",\n  \"levels\": {},\n  \"target_level_keys\": {},\n  \"weight\": 123\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.bland.ai/v1/evals/agents/{eval_agent_id}/versions/{version_id}")

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

request = Net::HTTP::Patch.new(url)
request["authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"description\": {},\n  \"modality\": \"<string>\",\n  \"system_prompt_md\": \"<string>\",\n  \"prompt_md\": \"<string>\",\n  \"levels\": {},\n  \"target_level_keys\": {},\n  \"weight\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "errors": null,
  "data": {
    "id": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
    "org_id": "f0e1d2c3-b4a5-9678-fedc-ba9876543210",
    "eval_agent_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "version_number": 3,
    "name": "Empathy Check v3",
    "description": "Refined grading criteria with clearer level descriptions.",
    "state": "editable",
    "modality": "audio",
    "system_prompt_md": "You are an expert call quality reviewer specializing in empathy.",
    "prompt_md": "Did the agent acknowledge and validate the caller's feelings? Review the full transcript and select the most appropriate verdict.",
    "levels": [
      {
        "level_key": "excellent",
        "label": "Excellent",
        "prompt_md": "The agent proactively acknowledged the caller's feelings with warmth and specificity.",
        "color": "emerald"
      },
      {
        "level_key": "adequate",
        "label": "Adequate",
        "prompt_md": "The agent showed some empathy but responses were generic or brief.",
        "color": "amber"
      },
      {
        "level_key": "poor",
        "label": "Poor",
        "prompt_md": "The agent ignored, dismissed, or failed to acknowledge the caller's feelings.",
        "color": "rose"
      }
    ],
    "target_level_keys": ["excellent"],
    "weight": 15,
    "created_from_version_id": "c3d4e5f6-a7b8-9012-cdef-123456789012",
    "created_by": "9a8b7c6d-5e4f-3210-9876-543210fedcba",
    "created_at": "2026-05-15T08:00:00.000Z",
    "updated_at": "2026-05-27T12:00:00.000Z"
  }
}

​
Headers

​
authorization
string
required
Your API key for authentication.

​
Path Parameters

​
eval_agent_id
string
required
The unique identifier of the eval agent.
​
version_id
string
required
The unique identifier of the version to update. Must be in the editable state.

​
Body Parameters

​
name
string
Updated display name for this version. Between 1 and 200 characters.
​
description
string | null
Updated description, or null to clear it.
​
modality
string
The modality for this version. One of text or audio.
​
system_prompt_md
string
Updated system prompt for the judge LLM, in Markdown. Maximum 8000 characters.
​
prompt_md
string
Updated grading prompt for the judge LLM, in Markdown. Maximum 8000 characters.
​
levels
array of objects
Verdict levels for graded mode. Pass an empty array for pass/fail mode. Maximum 5 levels. Each level object requires:
  • level_key (string, 1-64 characters): unique key within this version.
  • label (string, 1-80 characters): display label shown in results.
  • prompt_md (string): description used in the grading prompt.
  • color (string, optional): one of rose, amber, gold, emerald, blue, indigo, violet, fog.
​
target_level_keys
array of strings
Which level keys count as a target match. Must be empty for pass/fail agents. Every key listed must match a defined level.
​
weight
number
Relative weight of this agent in aggregate scoring. Between 0 and 100.

​
Response

​
data.id
string
Unique identifier for this version.
​
data.org_id
string
ID of the organization that owns this version.
​
data.eval_agent_id
string
ID of the parent eval agent.
​
data.version_number
integer
Sequential version number.
​
data.name
string
Name of this version.
​
data.description
string | null
Description of this version, or null.
​
data.state
string
State of this version. One of editable or archived.
​
data.modality
string
One of text or audio.
​
data.system_prompt_md
string
The system prompt for the judge LLM, in Markdown.
​
data.prompt_md
string
The grading prompt for the judge LLM, in Markdown.
​
data.levels
array of objects
Updated verdict levels. Each level contains level_key, label, prompt_md, and optionally color.
​
data.target_level_keys
array of strings
Updated target level keys.
​
data.weight
number
Updated weight. Between 0 and 100.
​
data.created_from_version_id
string | null
ID of the version this was forked from, or null.
​
data.created_by
string | null
Identifier of the user who created this version, or null.
​
data.created_at
string
ISO 8601 timestamp for when this version was created.
​
data.updated_at
string
ISO 8601 timestamp for when this version was last updated.
{
  "errors": null,
  "data": {
    "id": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
    "org_id": "f0e1d2c3-b4a5-9678-fedc-ba9876543210",
    "eval_agent_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "version_number": 3,
    "name": "Empathy Check v3",
    "description": "Refined grading criteria with clearer level descriptions.",
    "state": "editable",
    "modality": "audio",
    "system_prompt_md": "You are an expert call quality reviewer specializing in empathy.",
    "prompt_md": "Did the agent acknowledge and validate the caller's feelings? Review the full transcript and select the most appropriate verdict.",
    "levels": [
      {
        "level_key": "excellent",
        "label": "Excellent",
        "prompt_md": "The agent proactively acknowledged the caller's feelings with warmth and specificity.",
        "color": "emerald"
      },
      {
        "level_key": "adequate",
        "label": "Adequate",
        "prompt_md": "The agent showed some empathy but responses were generic or brief.",
        "color": "amber"
      },
      {
        "level_key": "poor",
        "label": "Poor",
        "prompt_md": "The agent ignored, dismissed, or failed to acknowledge the caller's feelings.",
        "color": "rose"
      }
    ],
    "target_level_keys": ["excellent"],
    "weight": 15,
    "created_from_version_id": "c3d4e5f6-a7b8-9012-cdef-123456789012",
    "created_by": "9a8b7c6d-5e4f-3210-9876-543210fedcba",
    "created_at": "2026-05-15T08:00:00.000Z",
    "updated_at": "2026-05-27T12:00:00.000Z"
  }
}