Create Prompt Version

cURL

curl --request POST \
  --url https://api.tela.com/prompt-version \
  --header 'Content-Type: application/json' \
  --data '
{
  "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "title": "<string>",
  "configuration": {
    "model": "<string>",
    "temperature": 123,
    "structuredOutput": {
      "enabled": true,
      "schema": {}
    }
  },
  "variables": [
    {
      "name": "<string>",
      "required": true,
      "description": "<string>",
      "processingOptions": {
        "allowMultimodal": true
      }
    }
  ],
  "content": "<string>",
  "markdownContent": "<string>",
  "promoted": true,
  "draft": true,
  "messages": {
    "content": "<string>",
    "index": 123
  }
}
'

import requests

url = "https://api.tela.com/prompt-version"

payload = {
    "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "title": "<string>",
    "configuration": {
        "model": "<string>",
        "temperature": 123,
        "structuredOutput": {
            "enabled": True,
            "schema": {}
        }
    },
    "variables": [
        {
            "name": "<string>",
            "required": True,
            "description": "<string>",
            "processingOptions": { "allowMultimodal": True }
        }
    ],
    "content": "<string>",
    "markdownContent": "<string>",
    "promoted": True,
    "draft": True,
    "messages": {
        "content": "<string>",
        "index": 123
    }
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    promptId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    title: '<string>',
    configuration: {
      model: '<string>',
      temperature: 123,
      structuredOutput: {enabled: true, schema: {}}
    },
    variables: [
      {
        name: '<string>',
        required: true,
        description: '<string>',
        processingOptions: {allowMultimodal: true}
      }
    ],
    content: '<string>',
    markdownContent: '<string>',
    promoted: true,
    draft: true,
    messages: {content: '<string>', index: 123}
  })
};

fetch('https://api.tela.com/prompt-version', 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.tela.com/prompt-version",
  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([
    'promptId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'title' => '<string>',
    'configuration' => [
        'model' => '<string>',
        'temperature' => 123,
        'structuredOutput' => [
                'enabled' => true,
                'schema' => [
                                
                ]
        ]
    ],
    'variables' => [
        [
                'name' => '<string>',
                'required' => true,
                'description' => '<string>',
                'processingOptions' => [
                                'allowMultimodal' => true
                ]
        ]
    ],
    'content' => '<string>',
    'markdownContent' => '<string>',
    'promoted' => true,
    'draft' => true,
    'messages' => [
        'content' => '<string>',
        'index' => 123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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://api.tela.com/prompt-version"

	payload := strings.NewReader("{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}")

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

	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.tela.com/prompt-version")
  .header("Content-Type", "application/json")
  .body("{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tela.com/prompt-version")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}"

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

{
  "id": "<string>",
  "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "title": "<string>",
  "configuration": {
    "model": "<string>",
    "type": "chat",
    "temperature": 123,
    "structuredOutput": {
      "enabled": true,
      "schema": {}
    }
  },
  "variables": [
    {
      "name": "<string>",
      "type": "file",
      "required": true,
      "description": "<string>",
      "processingOptions": {
        "allowMultimodal": true
      }
    }
  ],
  "content": "<string>",
  "markdownContent": "<string>",
  "promoted": true,
  "draft": true,
  "messages": {
    "role": "user",
    "content": "<string>",
    "index": 123
  },
  "createdAt": "2023-11-07T05:31:56Z",
  "updatedAt": "2023-11-07T05:31:56Z"
}

POST

prompt-version

cURL

curl --request POST \
  --url https://api.tela.com/prompt-version \
  --header 'Content-Type: application/json' \
  --data '
{
  "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "title": "<string>",
  "configuration": {
    "model": "<string>",
    "temperature": 123,
    "structuredOutput": {
      "enabled": true,
      "schema": {}
    }
  },
  "variables": [
    {
      "name": "<string>",
      "required": true,
      "description": "<string>",
      "processingOptions": {
        "allowMultimodal": true
      }
    }
  ],
  "content": "<string>",
  "markdownContent": "<string>",
  "promoted": true,
  "draft": true,
  "messages": {
    "content": "<string>",
    "index": 123
  }
}
'

import requests

url = "https://api.tela.com/prompt-version"

payload = {
    "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "title": "<string>",
    "configuration": {
        "model": "<string>",
        "temperature": 123,
        "structuredOutput": {
            "enabled": True,
            "schema": {}
        }
    },
    "variables": [
        {
            "name": "<string>",
            "required": True,
            "description": "<string>",
            "processingOptions": { "allowMultimodal": True }
        }
    ],
    "content": "<string>",
    "markdownContent": "<string>",
    "promoted": True,
    "draft": True,
    "messages": {
        "content": "<string>",
        "index": 123
    }
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    promptId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    title: '<string>',
    configuration: {
      model: '<string>',
      temperature: 123,
      structuredOutput: {enabled: true, schema: {}}
    },
    variables: [
      {
        name: '<string>',
        required: true,
        description: '<string>',
        processingOptions: {allowMultimodal: true}
      }
    ],
    content: '<string>',
    markdownContent: '<string>',
    promoted: true,
    draft: true,
    messages: {content: '<string>', index: 123}
  })
};

fetch('https://api.tela.com/prompt-version', 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.tela.com/prompt-version",
  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([
    'promptId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'title' => '<string>',
    'configuration' => [
        'model' => '<string>',
        'temperature' => 123,
        'structuredOutput' => [
                'enabled' => true,
                'schema' => [
                                
                ]
        ]
    ],
    'variables' => [
        [
                'name' => '<string>',
                'required' => true,
                'description' => '<string>',
                'processingOptions' => [
                                'allowMultimodal' => true
                ]
        ]
    ],
    'content' => '<string>',
    'markdownContent' => '<string>',
    'promoted' => true,
    'draft' => true,
    'messages' => [
        'content' => '<string>',
        'index' => 123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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://api.tela.com/prompt-version"

	payload := strings.NewReader("{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}")

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

	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.tela.com/prompt-version")
  .header("Content-Type", "application/json")
  .body("{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tela.com/prompt-version")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"promptId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"title\": \"<string>\",\n  \"configuration\": {\n    \"model\": \"<string>\",\n    \"temperature\": 123,\n    \"structuredOutput\": {\n      \"enabled\": true,\n      \"schema\": {}\n    }\n  },\n  \"variables\": [\n    {\n      \"name\": \"<string>\",\n      \"required\": true,\n      \"description\": \"<string>\",\n      \"processingOptions\": {\n        \"allowMultimodal\": true\n      }\n    }\n  ],\n  \"content\": \"<string>\",\n  \"markdownContent\": \"<string>\",\n  \"promoted\": true,\n  \"draft\": true,\n  \"messages\": {\n    \"content\": \"<string>\",\n    \"index\": 123\n  }\n}"

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

{
  "id": "<string>",
  "promptId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "title": "<string>",
  "configuration": {
    "model": "<string>",
    "type": "chat",
    "temperature": 123,
    "structuredOutput": {
      "enabled": true,
      "schema": {}
    }
  },
  "variables": [
    {
      "name": "<string>",
      "type": "file",
      "required": true,
      "description": "<string>",
      "processingOptions": {
        "allowMultimodal": true
      }
    }
  ],
  "content": "<string>",
  "markdownContent": "<string>",
  "promoted": true,
  "draft": true,
  "messages": {
    "role": "user",
    "content": "<string>",
    "index": 123
  },
  "createdAt": "2023-11-07T05:31:56Z",
  "updatedAt": "2023-11-07T05:31:56Z"
}

Create a Prompt Version

This endpoint creates a new version of a prompt with the specified configuration, variables, and content.

Request Body

The request body must include the following fields:

Parameter	Type	Description
`promptId`	string (UUID)	The ID of the prompt to create a version for
`title`	string	The title of the prompt version (max 256 characters)
`configuration`	object	Configuration settings for the prompt version
`variables`	array	An array of variable objects used in the prompt

Optional Fields

Parameter	Type	Description
`content`	string	Plain text content of the prompt
`markdownContent`	string	Markdown content of the prompt
`promoted`	boolean	Whether this version is promoted
`draft`	boolean	Whether this version is a draft
`messages`	array/object	Messages for chat-type prompts

Examples

const promptVersion = {
  promptId: 'prompt_uuid',
  title: 'Document Analysis v2',
  configuration: {
    model: 'claude-3-opus-20240229',
    temperature: 0.7,
    type: 'chat'
  },
  variables: [
    {
      name: 'document',
      type: 'file',
      required: true,
      description: 'The document to analyze'
    },
    {
      name: 'query',
      type: 'text',
      required: true,
      description: 'The specific question about the document'
    }
  ],
  markdownContent: '# Document Analysis\n\nAnalyze the document and answer questions about it.',
  draft: true
}

const response = await fetch('https://api.tela.ai/prompt-version', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.TELA_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(promptVersion)
})

const result = await response.json()
console.log(result)

const promptVersion = {
  promptId: 'prompt_uuid',
  title: 'Document Analysis v2',
  configuration: {
    model: 'claude-3-opus-20240229',
    temperature: 0.7,
    type: 'chat'
  },
  variables: [
    {
      name: 'document',
      type: 'file',
      required: true,
      description: 'The document to analyze'
    },
    {
      name: 'query',
      type: 'text',
      required: true,
      description: 'The specific question about the document'
    }
  ],
  markdownContent: '# Document Analysis\n\nAnalyze the document and answer questions about it.',
  draft: true
}

const response = await fetch('https://api.tela.ai/prompt-version', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.TELA_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(promptVersion)
})

const result = await response.json()
console.log(result)

import requests
import os

api_key = os.getenv("TELA_API_KEY")

prompt_version = {
  "promptId": "prompt_uuid",
  "title": "Document Analysis v2",
  "configuration": {
    "model": "claude-3-opus-20240229",
    "temperature": 0.7,
    "type": "chat"
  },
  "variables": [
    {
      "name": "document",
      "type": "file",
      "required": True,
      "description": "The document to analyze"
    },
    {
      "name": "query",
      "type": "text",
      "required": True,
      "description": "The specific question about the document"
    }
  ],
  "markdownContent": "# Document Analysis\n\nAnalyze the document and answer questions about it.",
  "draft": True
}

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

response = requests.post("https://api.tela.ai/prompt-version", json=prompt_version, headers=headers)
result = response.json()
print(result)

Response

The response includes the created prompt version object with its assigned ID and other details.

{
  "id": "version_uuid",
  "promptId": "prompt_uuid",
  "title": "Document Analysis v2",
  "markdownContent": "# Document Analysis\n\nAnalyze the document and answer questions about it.",
  "configuration": {
    "model": "claude-3-opus-20240229",
    "temperature": 0.7,
    "type": "chat"
  },
  "variables": [
    {
      "name": "document",
      "type": "file",
      "required": true,
      "description": "The document to analyze"
    },
    {
      "name": "query",
      "type": "text",
      "required": true,
      "description": "The specific question about the document"
    }
  ],
  "draft": true,
  "promoted": false,
  "createdAt": "2024-04-15T12:00:00.000Z",
  "updatedAt": "2024-04-15T12:00:00.000Z"
}

Structured Output Example

const promptVersionWithStructuredOutput = {
  promptId: 'prompt_uuid',
  title: 'Document Analysis with Structured Output',
  configuration: {
    model: 'claude-3-opus-20240229',
    temperature: 0.7,
    type: 'chat',
    structuredOutput: {
      enabled: true,
      schema: {
        type: "object",
        title: "DocumentAnalysis",
        description: "Analysis of a document",
        properties: {
          summary: {
            type: "string",
            description: "Brief summary of the document"
          },
          keyInsights: {
            type: "array",
            items: {
              type: "string"
            },
            description: "Key insights from the document"
          },
          sentiment: {
            type: "string",
            enum: ["positive", "neutral", "negative"],
            description: "Overall sentiment of the document"
          }
        },
        required: ["summary", "keyInsights", "sentiment"]
      }
    }
  },
  variables: [
    {
      name: 'document',
      type: 'file',
      required: true,
      description: 'The document to analyze'
    }
  ]
}

const response = await fetch('https://api.tela.ai/prompt-version', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.TELA_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(promptVersionWithStructuredOutput)
})

const result = await response.json()
console.log(result)

const promptVersionWithStructuredOutput = {
  promptId: 'prompt_uuid',
  title: 'Document Analysis with Structured Output',
  configuration: {
    model: 'claude-3-opus-20240229',
    temperature: 0.7,
    type: 'chat',
    structuredOutput: {
      enabled: true,
      schema: {
        type: "object",
        title: "DocumentAnalysis",
        description: "Analysis of a document",
        properties: {
          summary: {
            type: "string",
            description: "Brief summary of the document"
          },
          keyInsights: {
            type: "array",
            items: {
              type: "string"
            },
            description: "Key insights from the document"
          },
          sentiment: {
            type: "string",
            enum: ["positive", "neutral", "negative"],
            description: "Overall sentiment of the document"
          }
        },
        required: ["summary", "keyInsights", "sentiment"]
      }
    }
  },
  variables: [
    {
      name: 'document',
      type: 'file',
      required: true,
      description: 'The document to analyze'
    }
  ]
}

const response = await fetch('https://api.tela.ai/prompt-version', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.TELA_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify(promptVersionWithStructuredOutput)
})

const result = await response.json()
console.log(result)

import requests
import os

api_key = os.getenv("TELA_API_KEY")

prompt_version_with_structured_output = {
  "promptId": "prompt_uuid",
  "title": "Document Analysis with Structured Output",
  "configuration": {
    "model": "claude-3-opus-20240229",
    "temperature": 0.7,
    "type": "chat",
    "structuredOutput": {
      "enabled": True,
      "schema": {
        "type": "object",
        "title": "DocumentAnalysis",
        "description": "Analysis of a document",
        "properties": {
          "summary": {
            "type": "string",
            "description": "Brief summary of the document"
          },
          "keyInsights": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Key insights from the document"
          },
          "sentiment": {
            "type": "string",
            "enum": ["positive", "neutral", "negative"],
            "description": "Overall sentiment of the document"
          }
        },
        "required": ["summary", "keyInsights", "sentiment"]
      }
    }
  },
  "variables": [
    {
      "name": "document",
      "type": "file",
      "required": True,
      "description": "The document to analyze"
    }
  ]
}

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

response = requests.post("https://api.tela.ai/prompt-version", json=prompt_version_with_structured_output, headers=headers)
result = response.json()
print(result)

Body

application/json

promptId

string<uuid>

required

UUID of the prompt to create a version for

title

string

required

Title of the prompt version

Maximum string length: 256

configuration

object

required

Configuration settings for the prompt version

Show child attributes

variables

object[]

required

Array of variables used in the prompt

Show child attributes

content

string | null

Plain text content of the prompt version

markdownContent

string | null

Markdown content of the prompt version

promoted

boolean | null

Whether this version is promoted

draft

boolean | null

Whether this version is a draft

messages

object

Messages for chat-type prompts

object
object[]

Show child attributes

Response

200 - application/json

Prompt version created successfully

string

required

Unique identifier for the prompt version

promptId

string<uuid>

required

UUID of the prompt this version belongs to

title

string

required

Title of the prompt version

Maximum string length: 256

configuration

object

required

Configuration settings for the prompt version

Show child attributes

variables

object[]

required

Array of variables used in the prompt

Show child attributes

content

string | null

Plain text content of the prompt version

markdownContent

string | null

Markdown content of the prompt version

promoted

boolean | null

Whether this version is promoted

draft

boolean | null

Whether this version is a draft

messages

object

Messages for chat-type prompts

object
object[]

Show child attributes

createdAt

string<date-time>

Creation timestamp

updatedAt

string<date-time>

Last update timestamp

Introduction

Completions

Files

Canvases

Versions

Version messages

Environments

Test cases

Test case tags

Tasks

Workstation Events

Workflow runs

Create Prompt Version

Create a Prompt Version

Request Body

Optional Fields

Examples

Response

Structured Output Example

Body

Response

​Create a Prompt Version

​Request Body

​Optional Fields

​Examples

​Response

​Structured Output Example

Body

Response

Create a Prompt Version

Request Body

Optional Fields

Examples

Response

Structured Output Example