> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://developers.meshapi.ai/llms.txt.
> For full documentation content, see https://developers.meshapi.ai/llms-full.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://developers.meshapi.ai/_mcp/server.

# Create Batch

POST https://api.meshapi.ai/v1/batches
Content-Type: application/json

Create a batch job.

Accepts requests inline — no separate file upload step required.
Model and provider are resolved from `body.model` across all requests;
all requests must target the same model.

Returns 429 (batch_limit_exceeded) if the owner already has 10 or more
batches in a non-terminal state.
Returns 501 (not_implemented) if the resolved provider doesn't support batch.

Reference: https://developers.meshapi.ai/api-reference/mesh-api/batches/create-batch-v-1-batches-post

## OpenAPI Specification

```yaml
openapi: 3.1.0
info:
  title: openapi
  version: 1.0.0
paths:
  /v1/batches:
    post:
      operationId: create-batch-v-1-batches-post
      summary: Create Batch
      description: >-
        Create a batch job.


        Accepts requests inline — no separate file upload step required.

        Model and provider are resolved from `body.model` across all requests;

        all requests must target the same model.


        Returns 429 (batch_limit_exceeded) if the owner already has 10 or more

        batches in a non-terminal state.

        Returns 501 (not_implemented) if the resolved provider doesn't support
        batch.
      tags:
        - subpackage_batch
      parameters:
        - name: Authorization
          in: header
          description: Bearer authentication
          required: true
          schema:
            type: string
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                description: Any type
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateBatchRequest'
servers:
  - url: https://api.meshapi.ai
components:
  schemas:
    BatchRequestItem:
      type: object
      properties:
        custom_id:
          type: string
        method:
          type: string
          default: POST
        url:
          type: string
          default: /v1/chat/completions
        body:
          type: object
          additionalProperties:
            description: Any type
      required:
        - custom_id
        - body
      title: BatchRequestItem
    CreateBatchRequest:
      type: object
      properties:
        requests:
          type: array
          items:
            $ref: '#/components/schemas/BatchRequestItem'
        completion_window:
          type: string
          default: 24h
        metadata:
          type:
            - object
            - 'null'
          additionalProperties:
            description: Any type
      required:
        - requests
      title: CreateBatchRequest
    ValidationErrorLocItems:
      oneOf:
        - type: string
        - type: integer
      title: ValidationErrorLocItems
    ValidationErrorCtx:
      type: object
      properties: {}
      title: ValidationErrorCtx
    ValidationError:
      type: object
      properties:
        loc:
          type: array
          items:
            $ref: '#/components/schemas/ValidationErrorLocItems'
        msg:
          type: string
        type:
          type: string
        input:
          description: Any type
        ctx:
          $ref: '#/components/schemas/ValidationErrorCtx'
      required:
        - loc
        - msg
        - type
      title: ValidationError
    HTTPValidationError:
      type: object
      properties:
        detail:
          type: array
          items:
            $ref: '#/components/schemas/ValidationError'
      title: HTTPValidationError
  securitySchemes:
    HTTPBearer:
      type: http
      scheme: bearer

```

## SDK Code Examples

```python
import requests

url = "https://api.meshapi.ai/v1/batches"

payload = {
    "requests": [
        {
            "custom_id": "batch-item-001",
            "body": {
                "model": "gpt-4o-mini",
                "messages": [
                    {
                        "role": "user",
                        "content": "Summarize the latest quarterly earnings report."
                    }
                ],
                "temperature": 0.7,
                "max_tokens": 500
            }
        }
    ],
    "completion_window": "24h",
    "metadata": {
        "project": "Q2 Earnings Analysis",
        "requested_by": "finance_team"
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.json())
```

```javascript
const url = 'https://api.meshapi.ai/v1/batches';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"requests":[{"custom_id":"batch-item-001","body":{"model":"gpt-4o-mini","messages":[{"role":"user","content":"Summarize the latest quarterly earnings report."}],"temperature":0.7,"max_tokens":500}}],"completion_window":"24h","metadata":{"project":"Q2 Earnings Analysis","requested_by":"finance_team"}}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.meshapi.ai/v1/batches"

	payload := strings.NewReader("{\n  \"requests\": [\n    {\n      \"custom_id\": \"batch-item-001\",\n      \"body\": {\n        \"model\": \"gpt-4o-mini\",\n        \"messages\": [\n          {\n            \"role\": \"user\",\n            \"content\": \"Summarize the latest quarterly earnings report.\"\n          }\n        ],\n        \"temperature\": 0.7,\n        \"max_tokens\": 500\n      }\n    }\n  ],\n  \"completion_window\": \"24h\",\n  \"metadata\": {\n    \"project\": \"Q2 Earnings Analysis\",\n    \"requested_by\": \"finance_team\"\n  }\n}")

	req, _ := http.NewRequest("POST", 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(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://api.meshapi.ai/v1/batches")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"requests\": [\n    {\n      \"custom_id\": \"batch-item-001\",\n      \"body\": {\n        \"model\": \"gpt-4o-mini\",\n        \"messages\": [\n          {\n            \"role\": \"user\",\n            \"content\": \"Summarize the latest quarterly earnings report.\"\n          }\n        ],\n        \"temperature\": 0.7,\n        \"max_tokens\": 500\n      }\n    }\n  ],\n  \"completion_window\": \"24h\",\n  \"metadata\": {\n    \"project\": \"Q2 Earnings Analysis\",\n    \"requested_by\": \"finance_team\"\n  }\n}"

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

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.meshapi.ai/v1/batches")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"requests\": [\n    {\n      \"custom_id\": \"batch-item-001\",\n      \"body\": {\n        \"model\": \"gpt-4o-mini\",\n        \"messages\": [\n          {\n            \"role\": \"user\",\n            \"content\": \"Summarize the latest quarterly earnings report.\"\n          }\n        ],\n        \"temperature\": 0.7,\n        \"max_tokens\": 500\n      }\n    }\n  ],\n  \"completion_window\": \"24h\",\n  \"metadata\": {\n    \"project\": \"Q2 Earnings Analysis\",\n    \"requested_by\": \"finance_team\"\n  }\n}")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.meshapi.ai/v1/batches', [
  'body' => '{
  "requests": [
    {
      "custom_id": "batch-item-001",
      "body": {
        "model": "gpt-4o-mini",
        "messages": [
          {
            "role": "user",
            "content": "Summarize the latest quarterly earnings report."
          }
        ],
        "temperature": 0.7,
        "max_tokens": 500
      }
    }
  ],
  "completion_window": "24h",
  "metadata": {
    "project": "Q2 Earnings Analysis",
    "requested_by": "finance_team"
  }
}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://api.meshapi.ai/v1/batches");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"requests\": [\n    {\n      \"custom_id\": \"batch-item-001\",\n      \"body\": {\n        \"model\": \"gpt-4o-mini\",\n        \"messages\": [\n          {\n            \"role\": \"user\",\n            \"content\": \"Summarize the latest quarterly earnings report.\"\n          }\n        ],\n        \"temperature\": 0.7,\n        \"max_tokens\": 500\n      }\n    }\n  ],\n  \"completion_window\": \"24h\",\n  \"metadata\": {\n    \"project\": \"Q2 Earnings Analysis\",\n    \"requested_by\": \"finance_team\"\n  }\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [
  "requests": [
    [
      "custom_id": "batch-item-001",
      "body": [
        "model": "gpt-4o-mini",
        "messages": [
          [
            "role": "user",
            "content": "Summarize the latest quarterly earnings report."
          ]
        ],
        "temperature": 0.7,
        "max_tokens": 500
      ]
    ]
  ],
  "completion_window": "24h",
  "metadata": [
    "project": "Q2 Earnings Analysis",
    "requested_by": "finance_team"
  ]
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://api.meshapi.ai/v1/batches")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```