Model Grok mendukung mode "berpikir" yang memungkinkannya melakukan penalaran langkah demi langkah sebelum memberikan jawaban akhir. Hal ini berguna untuk tugas yang memerlukan logika transparan, seperti bukti matematika, proses debug kode yang rumit, atau perencanaan agen multi-langkah.
Panduan Grok
- Jumlah token penalaran ditampilkan di kolom
reasoning_tokens, terpisah daricompletion_tokens. - Respons tidak memiliki kolom
reasoning_content. Semua teks respons ditampilkan di kolomcontent. - Model penalaran Grok tidak mendukung
reasoning_effort.
Contoh permintaan:
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/endpoints/openapi/chat/completions -d '{
"model": "xai/grok-4.1-fast-reasoning",
"messages": [{
"role": "user",
"content": "Who are you?"
}],
}'
Contoh respons:
{
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "I am Grok, an AI assistant built by xAI...",
"role": "assistant"
}
}
],
"created": 1775523905,
"id": "knTMaJC0EJfM5OMP7I3xkAk",
"model": "xai/grok-4.1-fast-reasoning",
"object":"chat.completion",
"system_fingerprint":"fp_39c5j0a324",
"usage":{
"completion_tokens":50,
"completion_tokens_details":{
"accepted_prediction_tokens":0,
"audio_tokens":0,
"reasoning_tokens":124,
"rejected_prediction_tokens":0
},
"cost_in_usd_ticks":0,
"num_sources_used":0,
"prompt_tokens":663,
"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":654,"image_tokens":0,"text_tokens":663},
"total_tokens":837
}
}
Langkah berikutnya
- Pelajari Panggilan fungsi.
- Pelajari Output terstruktur.