curl https://api.portkey.ai/v1/threads/thread_abc123/runs \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v2" \
  -d '{
    "assistant_id": "asst_abc123"
  }'

from portkey_ai import Portkey

client = Portkey(
  api_key = "PORTKEY_API_KEY",
  virtual_key = "PROVIDER_VIRTUAL_KEY"
)

run = client.beta.threads.runs.create(
  thread_id="thread_abc123",
  assistant_id="asst_abc123"
)

print(run)

import Portkey from 'portkey-ai';

const client = new Portkey({
  apiKey: 'PORTKEY_API_KEY',
  virtualKey: 'PROVIDER_VIRTUAL_KEY'
});

async function main() {
  const run = await client.beta.threads.runs.create(
    "thread_abc123",
    { assistant_id: "asst_abc123" }
  );

  console.log(run);
}

main();

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.portkey.ai/v1/threads/{thread_id}/runs",
  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([
    'assistant_id' => '<string>',
    'model' => 'gpt-4-turbo',
    'instructions' => '<string>',
    'additional_instructions' => '<string>',
    'additional_messages' => [
        [
                'content' => '<string>',
                'attachments' => [
                                [
                                                                'file_id' => '<string>',
                                                                'tools' => [
                                                                                                                                [
                                                                                                                                                                                                                                                                'type' => 'code_interpreter'
                                                                                                                                ]
                                                                ]
                                ]
                ],
                'metadata' => [
                                
                ]
        ]
    ],
    'tools' => [
        [
                'type' => 'code_interpreter'
        ]
    ],
    'metadata' => [
        
    ],
    'temperature' => 1,
    'top_p' => 1,
    'stream' => true,
    'max_prompt_tokens' => 257,
    'max_completion_tokens' => 257,
    'truncation_strategy' => [
        'last_messages' => 2
    ],
    'parallel_tool_calls' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-portkey-api-key: <api-key>",
    "x-portkey-virtual-key: <api-key>"
  ],
]);

$response = curl_exec($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.portkey.ai/v1/threads/{thread_id}/runs"

	payload := strings.NewReader("{\n  \"assistant_id\": \"<string>\",\n  \"model\": \"gpt-4-turbo\",\n  \"instructions\": \"<string>\",\n  \"additional_instructions\": \"<string>\",\n  \"additional_messages\": [\n    {\n      \"content\": \"<string>\",\n      \"attachments\": [\n        {\n          \"file_id\": \"<string>\",\n          \"tools\": [\n            {\n              \"type\": \"code_interpreter\"\n            }\n          ]\n        }\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"code_interpreter\"\n    }\n  ],\n  \"metadata\": {},\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"stream\": true,\n  \"max_prompt_tokens\": 257,\n  \"max_completion_tokens\": 257,\n  \"truncation_strategy\": {\n    \"last_messages\": 2\n  },\n  \"parallel_tool_calls\": true\n}")

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

	req.Header.Add("x-portkey-api-key", "<api-key>")
	req.Header.Add("x-portkey-virtual-key", "<api-key>")
	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.portkey.ai/v1/threads/{thread_id}/runs")
  .header("x-portkey-api-key", "<api-key>")
  .header("x-portkey-virtual-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"assistant_id\": \"<string>\",\n  \"model\": \"gpt-4-turbo\",\n  \"instructions\": \"<string>\",\n  \"additional_instructions\": \"<string>\",\n  \"additional_messages\": [\n    {\n      \"content\": \"<string>\",\n      \"attachments\": [\n        {\n          \"file_id\": \"<string>\",\n          \"tools\": [\n            {\n              \"type\": \"code_interpreter\"\n            }\n          ]\n        }\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"code_interpreter\"\n    }\n  ],\n  \"metadata\": {},\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"stream\": true,\n  \"max_prompt_tokens\": 257,\n  \"max_completion_tokens\": 257,\n  \"truncation_strategy\": {\n    \"last_messages\": 2\n  },\n  \"parallel_tool_calls\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.portkey.ai/v1/threads/{thread_id}/runs")

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

request = Net::HTTP::Post.new(url)
request["x-portkey-api-key"] = '<api-key>'
request["x-portkey-virtual-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"assistant_id\": \"<string>\",\n  \"model\": \"gpt-4-turbo\",\n  \"instructions\": \"<string>\",\n  \"additional_instructions\": \"<string>\",\n  \"additional_messages\": [\n    {\n      \"content\": \"<string>\",\n      \"attachments\": [\n        {\n          \"file_id\": \"<string>\",\n          \"tools\": [\n            {\n              \"type\": \"code_interpreter\"\n            }\n          ]\n        }\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"tools\": [\n    {\n      \"type\": \"code_interpreter\"\n    }\n  ],\n  \"metadata\": {},\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"stream\": true,\n  \"max_prompt_tokens\": 257,\n  \"max_completion_tokens\": 257,\n  \"truncation_strategy\": {\n    \"last_messages\": 2\n  },\n  \"parallel_tool_calls\": true\n}"

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

{
  "id": "<string>",
  "object": "thread.run",
  "created_at": 123,
  "thread_id": "<string>",
  "assistant_id": "<string>",
  "status": "queued",
  "required_action": {
    "type": "submit_tool_outputs",
    "submit_tool_outputs": {
      "tool_calls": [
        {
          "id": "<string>",
          "type": "function",
          "function": {
            "name": "<string>",
            "arguments": "<string>"
          }
        }
      ]
    }
  },
  "last_error": {
    "code": "server_error",
    "message": "<string>"
  },
  "expires_at": 123,
  "started_at": 123,
  "cancelled_at": 123,
  "failed_at": 123,
  "completed_at": 123,
  "incomplete_details": {
    "reason": "max_completion_tokens"
  },
  "model": "<string>",
  "instructions": "<string>",
  "tools": [],
  "metadata": {},
  "usage": {
    "completion_tokens": 123,
    "prompt_tokens": 123,
    "total_tokens": 123
  },
  "max_prompt_tokens": 257,
  "max_completion_tokens": 257,
  "truncation_strategy": {
    "type": "auto",
    "last_messages": 2
  },
  "tool_choice": "none",
  "parallel_tool_calls": true,
  "response_format": "none",
  "temperature": 123,
  "top_p": 123
}