blastai 0.1.3

Browser-LLM Auto-Scaling Technology

A high-performance serving engine for web browsing AI.

❓ Use Cases

1. I want to add web browsing AI to my app... BLAST serves web browsing AI with an OpenAI-compatible API and concurrency and streaming baked in.
2. I need to automate workflows... BLAST will automatically cache and parallelize to keep costs down and enable interactive-level latencies.
3. Just want to use this locally... BLAST makes sure you stay under budget and not hog your computer's memory.

🚀 Quick Start

pip install blastai && blastai serve

from openai import OpenAI

client = OpenAI(
    api_key="not-needed",
    base_url="http://127.0.0.1:8000"
)

# Stream real-time browser actions
stream = client.responses.create(
    model="not-needed",
    input="Compare fried chicken reviews for top 10 fast food restaurants",
    stream=True
)

for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta if " " in event.delta else "<screenshot>", end="", flush=True)

✨ Features

• 🔄 OpenAI-Compatible API Drop-in replacement for OpenAI's API
• 🚄 High Performance Automatic parallelism and prefix caching
• 📡 Streaming Stream browser-augmented LLM output to users
• 📊 Concurrency Out-of-the-box support many users with efficient resource management

📚 Documentation

Visit documentation to learn more.

🤝 Contributing

Awesome! See our Contributing Guide for details.

📄 MIT License

As it should be!