nemati 0.1.2

Official Python SDK for Nemati AI - AI Content Creation, Image Generation, Trend Discovery & More

Nemati AI Python SDK

Official Python SDK for Nemati AI - Your all-in-one AI platform for content creation, image generation, trend discovery, and more.

Installation

pip install nemati-ai

Quick Start

from nemati import NematiAI

# Initialize client
client = NematiAI(api_key="your-api-key")

# Chat completion
response = client.chat.create(
    messages=[
        {"role": "user", "content": "What is machine learning?"}
    ]
)
print(response.content)

# AI Writer
content = client.writer.generate(
    prompt="Write a blog post about AI trends in 2026",
    content_type="blog_post"
)
print(content.text)

# Image Generation
image = client.image.generate(
    prompt="A futuristic city at sunset",
    size="1024x1024"
)
image.save("city.png")

Features

• 🤖 Chat Completions - Conversational AI with multiple models
• ✍️ AI Writer - Generate blogs, articles, social posts, and more
• 🎨 Image Generation - Text-to-image, image-to-image, upscaling
• 🔊 Audio - Text-to-speech and speech-to-text
• 📈 Trend Discovery - Track trends across YouTube, TikTok, Reddit, and more
• 📊 Market Intelligence - Stock and crypto data with AI analysis
• 📄 Document Processing - Upload, convert, and chat with documents
• ⚡ Async Support - Full async/await support for high-performance apps

Authentication

Get your API key from nemati.ai/dashboard/api-keys.

# Option 1: Pass directly
client = NematiAI(api_key="nai_live_xxxxxxxxxxxx")

# Option 2: Environment variable
# Set NEMATI_API_KEY in your environment
client = NematiAI()

Usage Examples

Chat Completions

# Simple chat
response = client.chat.create(
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing"}
    ],
    model="gpt-4",
    max_tokens=1000
)

print(response.content)
print(f"Tokens used: {response.usage.total_tokens}")

# Streaming
for chunk in client.chat.create(
    messages=[{"role": "user", "content": "Write a poem about AI"}],
    stream=True
):
    print(chunk.content, end="", flush=True)

AI Writer

# Generate content
content = client.writer.generate(
    prompt="Write a product description for an AI assistant app",
    content_type="product_description",
    tone="professional",
    max_tokens=500
)

# Use templates
templates = client.writer.templates.list()
content = client.writer.templates.generate(
    template_id="social-media-post",
    variables={
        "topic": "AI trends",
        "platform": "LinkedIn"
    }
)

Image Generation

# Text to image
image = client.image.generate(
    prompt="A serene mountain landscape at dawn",
    size="1024x1024",
    quality="hd"
)
image.save("landscape.png")

# Image to image
edited = client.image.edit(
    image=open("photo.jpg", "rb"),
    prompt="Make it look like a watercolor painting"
)

# Upscale
upscaled = client.image.upscale(
    image=open("small.jpg", "rb"),
    scale=4
)

Trend Discovery

# Search trends
trends = client.trends.search(
    query="artificial intelligence",
    platforms=["youtube", "tiktok", "reddit"],
    timeframe="7d"
)

for trend in trends.items:
    print(f"{trend.platform}: {trend.title}")
    print(f"  Engagement: {trend.engagement}")

Async Support

import asyncio
from nemati import AsyncNematiAI

async def main():
    client = AsyncNematiAI(api_key="your-api-key")
    
    response = await client.chat.create(
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(response.content)
    
    await client.close()

asyncio.run(main())

Error Handling

from nemati.exceptions import (
    AuthenticationError,
    RateLimitError,
    InsufficientCreditsError,
    ValidationError,
    APIError
)

try:
    response = client.chat.create(messages=[...])
except AuthenticationError:
    print("Invalid API key")
except RateLimitError as e:
    print(f"Rate limited. Retry after {e.retry_after} seconds")
except InsufficientCreditsError as e:
    print(f"Need {e.required} credits, have {e.available}")
except ValidationError as e:
    print(f"Invalid request: {e.errors}")
except APIError as e:
    print(f"API error {e.status_code}: {e.message}")

Account & Usage

# Check credits
credits = client.account.credits()
print(f"Remaining: {credits.remaining}")

# Get usage stats
usage = client.account.usage(
    start_date="2026-01-01",
    end_date="2026-01-31"
)
print(f"Total requests: {usage.total_requests}")

# Get plan limits
limits = client.account.limits()
print(f"Chat messages/day: {limits.chat.max_messages_per_day}")

Documentation

Full documentation is available at docs.nemati.ai/sdk/python

Requirements

• Python 3.8+
• API key from nemati.ai

License

MIT License - see LICENSE for details.

Support

• 📧 Email: [e-mail]
• 💬 Discord: discord.gg/nemati
• 🐛 Issues: GitHub Issues