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Documentation Index

Fetch the complete documentation index at: https://docs.blastproject.org/llms.txt

Use this file to discover all available pages before exploring further.

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Install

pip install blastai

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Get an OpenAI API Key

echo "OPENAI_API_KEY=sk-..." > .env

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Start the Server

blastai serve

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Try the UI

Open http://localhost:3000 in your browser and try asking BLAST something totally normal like compare the weight of the 10 heaviest gorillas and the 10 heaviest bench presses and squats ever. BLAST in action This frontend is a lightweight Next.js app that is simply calling the OpenAI Node.js API and reading the returned stream for screenshots and text results.

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Use the API

BLAST provides an OpenAI-compatible API. Here’s a simple example using the Python OpenAI client: 
from openai import OpenAI

# Initialize client pointing to local BLAST server
client = OpenAI(
    api_key="not-needed",
    base_url="http://127.0.0.1:8000"
)

# Create a streaming response
stream = client.responses.create(
    model="not-needed",
    input="Compare the r/protectandserve and r/securityguard subreddits",
    stream=True
)

# Process the stream
for event in stream:
    if event.type == "response.output_text.delta":
        # Print real-time thoughts/actions
        if ' ' in event.delta:  # Skip screenshots
            print(event.delta, end='', flush=True)

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Next Steps