> ## Documentation Index
> Fetch the complete documentation index at: https://docs.genai.scale.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Create a Batch
> Create a new [Batch](/core-resources/batch) for organizing tasks.
Every request sent to Scale's API requires authentication. In short, your API Key is the Bearer token. See the [Authentication](/get-started/authentication) section for more details.
### Required request parameters
You must provide:
* **Name** (`name`) - The name for the batch
* **Project** (`project`) - Project ID or project name to associate with the batch
## OpenAPI
````yaml POST /v2/batch
openapi: 3.1.0
info:
title: GenAI API Spec
description: 'Data Engine: Generative AI API Specification'
version: 0.0.1
servers:
- url: https://api.scale.com
security:
- bearerAuth: []
- basicAuth: []
paths:
/v2/batch:
post:
tags:
- v2
summary: Create a Batch
description: Create a new [Batch](/core-resources/batch) for organizing tasks.
operationId: createBatch
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- name
properties:
name:
$ref: '#/components/schemas/BatchName'
project_id:
$ref: '#/components/schemas/ProjectId'
project_name:
$ref: '#/components/schemas/ProjectName'
callback:
$ref: '#/components/schemas/Callback'
staging_batch:
type: boolean
description: Whether this is a staging batch.
default: false
metadata:
$ref: '#/components/schemas/BatchMetadata'
examples:
Basic Batch:
value:
name: My New Batch
project: project_123
Batch with Metadata:
value:
name: Training Batch
project: My Project
callback: https://example.com/callback
staging_batch: true
metadata:
priority: high
dataset_version: v1.2
responses:
'200':
description: Batch created successfully.
content:
application/json:
schema:
$ref: '#/components/schemas/Batch'
examples:
Created Batch:
$ref: '#/components/examples/SampleBatch'
'500':
description: Error response
content:
application/json:
schema:
type: object
properties:
status_code:
type: number
example: 500
error:
type: string
example: An error has occurred.
x-codeSamples:
- lang: bash
label: cURL
source: |
API_KEY='live_...'
curl --request POST \
--url "https://api.scale.com/v2/batch" \
--header "Authorization: Bearer $API_KEY" \
--header "Content-Type: application/json" \
--data '{
"name": "My New Batch",
"project": "project_123"
}'
- lang: python
label: Python SDK
source: |
import scaleapi
API_KEY = 'live_...'
client = scaleapi.ScaleClient(API_KEY)
response = client.v2.create_batch(
name="My New Batch",
project="project_123"
)
print(response.to_json())
- lang: python
label: Python
source: |
import requests
API_KEY = 'live_...'
response = requests.request(
"POST",
url="https://api.scale.com/v2/batch",
json={
"name": "My New Batch",
"project": "project_123"
},
headers={
"Accept": "application/json",
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
)
print(response.json())
- lang: javascript
label: JavaScript
source: |
const API_KEY = 'live_...';
const response = await fetch('https://api.scale.com/v2/batch', {
method: 'POST',
headers: {
Accept: 'application/json',
Authorization: `Bearer ${API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
name: 'My New Batch',
project: 'project_123'
}),
});
console.log(await response.json());
- lang: go
label: Go
source: |
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
apiKey := "live_..."
requestBody := map[string]string{
"name": "My New Batch",
"project": "project_123",
}
jsonData, _ := json.Marshal(requestBody)
req, _ := http.NewRequest("POST", "https://api.scale.com/v2/batch", bytes.NewBuffer(jsonData))
req.Header.Add("Authorization", fmt.Sprintf("Bearer %s", apiKey))
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(string(body))
}
- lang: java
label: Java
source: |
package com.scale.api;
import kong.unirest.HttpResponse;
import kong.unirest.Unirest;
public class App {
public static void main(String[] args) {
String apiKey = "live_...";
String requestBody = "{\"name\": \"My New Batch\", \"project\": \"project_123\"}";
HttpResponse response = Unirest.post("https://api.scale.com/v2/batch")
.header("Authorization", String.format("Bearer %s", apiKey))
.header("Content-Type", "application/json")
.body(requestBody)
.asString();
System.out.println(response.getBody());
}
}
components:
schemas:
BatchName:
type: string
description: The name of the batch.
example: My Scale Batch
ProjectId:
type: string
description: A unique identifier for the project.
example: project_abc123
ProjectName:
type: string
description: The name of the project.
example: My Scale Project
Callback:
type: string
description: Callback URL or email for the entity upon completion.
example: https://example.com/callback
BatchMetadata:
$ref: '#/components/schemas/Metadata'
Batch:
type: object
required:
- id
- name
- project
- created_at
- status
- metadata
properties:
id:
$ref: '#/components/schemas/BatchId'
name:
$ref: '#/components/schemas/BatchName'
project:
$ref: '#/components/schemas/ExpandableProject'
description: >-
Project ID or [Project](/core-resources/project) associated with the
batch.
created_at:
$ref: '#/components/schemas/DateString'
completed_at:
$ref: '#/components/schemas/DateString'
description: UTC timestamp when the batch was completed.
status:
$ref: '#/components/schemas/BatchStatus'
callback:
$ref: '#/components/schemas/Callback'
metadata:
$ref: '#/components/schemas/BatchMetadata'
Metadata:
type: object
description: Custom metadata for the entity.
additionalProperties: true
default: {}
BatchId:
type: string
description: A unique identifier for the batch.
example: batch_abc123
ExpandableProject:
description: >-
Project ID or [Project](/core-resources/project) associated with the
task.
oneOf:
- $ref: '#/components/schemas/ProjectId'
- $ref: '#/components/schemas/Project'
DateString:
type: string
format: date-time
description: A timestamp formatted as an ISO 8601 date-time string.
BatchStatus:
type: string
enum:
- staging
- in_progress
- completed
- paused
- cancelled
description: Status of the batch.
Project:
type: object
required:
- id
- name
- created_at
properties:
id:
$ref: '#/components/schemas/ProjectId'
description: Unique identifier for the project
name:
$ref: '#/components/schemas/ProjectName'
created_at:
$ref: '#/components/schemas/DateString'
types:
type: array
description: List of project types associated with the project.
items:
$ref: '#/components/schemas/GenAIProjectType'
example:
- 'RLHF: Pref Ranking'
models:
type: array
description: List of models associated with the project.
items:
$ref: '#/components/schemas/Model'
example:
- gpt-4
- my-model-123
GenAIProjectType:
type: string
enum:
- SFT
- 'RLHF: Pref Ranking'
- 'RLHF: Pref Ranking with Rewrites'
- 'RLVR: Reinforcement Learning with Verifiable Rewards'
- Rubrics
- Process Supervision
- Evals
- Prompt Generation
- Content Understanding
- Other
Model:
type: string
description: The name of the model that generated the message.
example: my-model-123
examples:
SampleBatch:
value:
id: batch_123
name: Batch Name Example
project: project_123
created_at: '2022-07-25T07:32:34.318Z'
status: completed
callback: https://example.com/callback
metadata: {}
completed_at: '2022-07-26T07:32:34.318Z'
securitySchemes:
bearerAuth:
description: >-
Your API Key is the Bearer token. See the
[Authentication](/get-started/authentication) section to learn how to
access your key.
type: http
scheme: bearer
basicAuth:
description: >-
Basic HTTP Authentication. Your API Key is your username. Learn more
about setting up Authentication [here](/get-started/authentication).
type: http
scheme: basic
````