Tool RPGM SLR - Offline JP to EN Translation for RPG Maker VX, VX Ace, MV, MZ, and Pictures

[Shisaye]

Just to clarify my earlier message:

The 400 error I’m seeing with SLR Translator seems to come from the request payload format, not from JavaScript itself. Your `fetch` example works because it only sends the basic fields. The SDKs (and possibly SLR Translator) add extra fields like `chat_template_kwargs`, `extra_body`, or `response_format`, which NVIDIA’s endpoint appears to reject.

That matches what Topdod found in Translator++ — changing `response_format` from `'json_schema'` to `{ "type": "json_object" }` stopped the 400 errors. So the difference is really about which fields are included in the JSON body, rather than the language used.

If user use deepseek 3.1 terminus:

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: '$NVIDIA_API_KEY',
  baseURL: 'https://integrate.api.nvidia.com/v1',
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "deepseek-ai/deepseek-v3.1-terminus",
    messages: [{"role":"user","content":""}],
    temperature: 0.2,
    top_p: 0.7,
    max_tokens: 16384,
    chat_template_kwargs: {"thinking":true},
    stream: true
  })

  for await (const chunk of completion) {
        const reasoning = chunk.choices[0]?.delta?.reasoning_content;
    if (reasoning) process.stdout.write(reasoning);
        process.stdout.write(chunk.choices[0]?.delta?.content || '')

  }

}

main();

If user use llama-3.3-nemotron-super-49b-v1.5

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: '$NVIDIA_API_KEY',
  baseURL: 'https://integrate.api.nvidia.com/v1',
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "nvidia/llama-3.3-nemotron-super-49b-v1.5",
    messages: [{"role":"system","content":"/think"}],
    temperature: 0.6,
    top_p: 0.95,
    max_tokens: 65536,
    frequency_penalty: 0,
    presence_penalty: 0,
    stream: true,
  })

  for await (const chunk of completion) {
    process.stdout.write(chunk.choices[0]?.delta?.content || '')
  }

}

main();

Well, as I told you, I still don't have an api key, they still didn't respond at all, and if asked for a phone number I will tell them to go fuck themselves.
So why not just do it yourself and tell me if I should add that as a toggle?
Just change the 2 bits in the DSLREngine.js. (One for Fullbatch, one for single requests.)

I assume you mean from this:

const response = await fetch(apiUrl, {
    method: 'POST',
    headers: Object.assign({
            'Content-Type': 'application/json'
        },
        apiKey ? {
            'Authorization': `Bearer ${apiKey}`
        } : {}
    ),
    body: JSON.stringify({
        model: activeLLM,
        messages: messages,
        temperature: llmTemp,
        top_k: llmTopK,
        top_p: llmTopP,
        min_p: llmMinP,
        repeat_penalty: llmRepeatPen,
        max_tokens: maxTokenValue
    })
});

to this:

const response = await fetch(apiUrl, {
    method: 'POST',
    headers: Object.assign({
            'Content-Type': 'application/json'
        },
        apiKey ? {
            'Authorization': `Bearer ${apiKey}`
        } : {}
    ),
    body: JSON.stringify({
        model: activeLLM,
        messages: messages,
        temperature: llmTemp,
        top_k: llmTopK,
        top_p: llmTopP,
        min_p: llmMinP,
        repeat_penalty: llmRepeatPen,
        max_tokens: maxTokenValue,
        response_format: { "type": "json_object" }  // Add this line
    })
});