kpihx-ai CLI Review: Is It Better Than Using an LLM API Directly? (2026)

# pip install nexaapi
from nexaapi import NexaAPI

client = NexaAPI(api_key='YOUR_API_KEY')

# Chat with any LLM — no CLI needed, fully programmatic
response = client.chat.completions.create(
    model='gpt-4o',  # or any of 50+ models
    messages=[
        {'role': 'system', 'content': 'You are a helpful assistant.'},
        {'role': 'user', 'content': 'Explain quantum computing in simple terms.'}
    ]
)

print(response.choices[0].message.content)

# Batch processing — impossible with CLI tools
prompts = [
    'Summarize this document: ...',
    'Translate to Spanish: ...',
    'Generate a product description for: ...'
]

for prompt in prompts:
    result = client.chat.completions.create(
        model='gpt-4o-mini',
        messages=[{'role': 'user', 'content': prompt}]
    )
    print(result.choices[0].message.content)

import asyncio
from nexaapi import AsyncNexaAPI

client = AsyncNexaAPI(api_key='YOUR_API_KEY')

async def process_batch(prompts):
    tasks = [
        client.chat.completions.create(
            model='gpt-4o-mini',
            messages=[{'role': 'user', 'content': p}]
        )
        for p in prompts
    ]
    results = await asyncio.gather(*tasks)
    return [r.choices[0].message.content for r in results]

prompts = ['What is AI?', 'What is ML?', 'What is NLP?']
results = asyncio.run(process_batch(prompts))

// npm install nexaapi
import NexaAPI from 'nexaapi';

const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });

async function chatWithLLM() {
  const response = await client.chat.completions.create({
    model: 'gpt-4o',
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: 'What are the top AI trends in 2026?' }
    ]
  });

  console.log(response.choices[0].message.content);

  // Stream responses for real-time apps
  const stream = await client.chat.completions.create({
    model: 'gpt-4o-mini',
    messages: [{ role: 'user', content: 'Write a short story about AI.' }],
    stream: true
  });

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

chatWithLLM();