创建批处理

示例用法

OpenAI Node

import OpenAI from 'openai';
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const client = new OpenAI({
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    virtualKey: "PROVIDER_VIRTUAL_KEY"
  })
});

async function main() {
  const batch = await client.batches.create({
    input_file_id: "file-abc123",
    endpoint: "/v1/chat/completions",
    completion_window: "24h"
  });

  console.log(batch);
}

main();

OpenAI Python

Portkey Node

Portkey Python

CURL

Creates and executes a batch from an uploaded file of requests

post

Authorizations

Portkey-Key & Virtual-KeyPortkey-Key & Provider-Auth & Provider-NamePortkey-Key & ConfigPortkey-Key & Provider-Auth & Provider-Name & Custom-Host

x-portkey-api-keystringRequired

x-portkey-virtual-keystringRequired

Body

application/json

anyOptional

or

or

or

Responses

200

Batch created successfully.

application/json

post

/batches

DefaultDefaultDefaultSelf-HostedSelf-HostedSelf-Hosted

curl https://api.portkey.ai/v1/batches \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_id": "file-abc123",
    "endpoint": "/v1/chat/completions",
    "completion_window": "24h"
  }'

200

Batch created successfully.

{
  "id": "text",
  "object": "batch",
  "endpoint": "text",
  "errors": {
    "object": "text",
    "data": [
      {
        "code": "text",
        "message": "text",
        "param": "text",
        "line": 1
      }
    ]
  },
  "input_file_id": "text",
  "completion_window": "text",
  "status": "validating",
  "output_file_id": "text",
  "error_file_id": "text",
  "created_at": 1,
  "in_progress_at": 1,
  "expires_at": 1,
  "finalizing_at": 1,
  "completed_at": 1,
  "failed_at": 1,
  "expired_at": 1,
  "cancelling_at": 1,
  "cancelled_at": 1,
  "request_counts": {
    "total": 1,
    "completed": 1,
    "failed": 1
  },
  "metadata": {}
}