Reasoning

import OpenAI from 'openai';

const requesty_api_key = "YOUR_REQUESTY_API_KEY"  // Safely load your API key

const client = new OpenAI({
    apiKey: requesty_api_key,
    baseURL: 'https://router.requesty.ai/v1',
});

async function testReasoningEffort() {
    try {
        const prompt = `
            Write a bash script that takes a matrix represented as a string with
            format '[1,2],[3,4],[5,6]' and prints the transpose in the same format.
        `.trim();

        console.log('Sending request to reasoning model...');

        const completion = await client.chat.completions.create({
            model: "openai/o3-mini",
            reasoning_effort: "medium",
            messages: [
                {
                    role: "user",
                    content: prompt
                }
            ]
        });

        console.log('\nCompletion Response:');
        console.log('-------------------');
        if (completion.choices[0]?.message?.content) {
            console.log(completion.choices[0].message.content);
        }

        console.log('\nToken Usage Details:');
        console.log('-------------------');
        if (completion.usage) {
            const usageDetails = {
                prompt_tokens: completion.usage.prompt_tokens,
                completion_tokens: completion.usage.completion_tokens,
                total_tokens: completion.usage.total_tokens
            };
            console.log(JSON.stringify(usageDetails, null, 2));

            // Log specific reasoning token details if available
            if ('completion_tokens_details' in completion.usage) {
                console.log('\nReasoning Token Details:');
                console.log('----------------------');
                console.log(JSON.stringify(completion.usage.completion_tokens_details, null, 2));
            }
        }

    } catch (error) {
        console.error('Error:', error);
    }
}

testReasoningEffort();

import json
import openai

# Safely load your API key
requesty_api_key = "YOUR_REQUESTY_API_KEY"

client = openai.OpenAI(
    api_key=requesty_api_key,
    base_url='https://router.requesty.ai/v1'
)

def test_reasoning_budget():
    try:
        prompt = """
            Write a bash script that takes a matrix represented as a string with
            format '[1,2],[3,4],[5,6]' and prints the transpose in the same format.
        """.strip()

        print('Sending request to reasoning model...')

        completion = client.chat.completions.create(
            model="openai/o3-mini",
            reasoning_effort="10000",
            messages=[
                {
                    "role": "user",
                    "content": prompt
                }
            ]
        )

        # Log the completion details
        print('\nCompletion Response:')
        print('-------------------')
        if completion.choices[0].message.content:
            print(completion.choices[0].message.content)

        # Log token usage details
        print('\nToken Usage Details:')
        print('-------------------')
        if completion.usage:
            usage_details = {
                "prompt_tokens": completion.usage.prompt_tokens,
                "completion_tokens": completion.usage.completion_tokens,
                "total_tokens": completion.usage.total_tokens
            }
            print(json.dumps(usage_details, indent=2))

            # Log specific reasoning token details if available
            if completion.usage.completion_tokens_details:
                print('\nReasoning Token Details:')
                print('----------------------')
                print(completion.usage.completion_tokens_details)

    except Exception as error:
        print(f'Error: {str(error)}')

if __name__ == '__main__':
    test_reasoning_budget()