Documentation — Bijani

Quickstart

Deploy your first edge function in under 60 seconds.

# Install the CLI
npm install -g @bijani/cli

# Log in to your account
bijani login

# Create a new project
bijani init my-project
cd my-project

# Deploy to production
bijani deploy

Installation

The Bijani CLI is available via npm, Homebrew, and as a standalone binary.

# npm
npm install -g @bijani/cli

# Homebrew (macOS / Linux)
brew install bijani/tap/cli

# Standalone binary
curl -fsSL https://bijani.space/install.sh | sh

Authentication

Authenticate using an API token or OAuth. Generate tokens from the dashboard.

# Set your API token as an environment variable
export BIJANI_API_TOKEN="bijan_xxxxxxxxxxxx"

# Or pass it directly to the CLI
bijani deploy --token "bijan_xxxxxxxxxxxx"

Creating Edge Functions

Write functions in JavaScript, TypeScript, Python, Rust, or Go.

// functions/api/hello.js
export default {
  async fetch(request, env) {
    const data = await request.json();
    return Response.json({
      message: `Hello, ${data.name || 'world'}`,
      region: request.cf.colo
    });
  }
};

Loading AI Models

Load and run inference on state-of-the-art models with a single API call.

import { Bijani } from "@bijani/sdk";

const model = await bijani.models.load("llama-3-8b", {
  quantization: "int8",
  maxContextLength: 4096
});

Text Generation

Generate text with streaming support for real-time applications.

const stream = await model.generateStream({
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Write a haiku about infrastructure." }
  ],
  temperature: 0.7,
  maxTokens: 50
});

for await (const chunk of stream) {
  process.stdout.write(chunk);
}

REST API

All Bijani services are accessible via a consistent REST API.

# Deploy a function
curl -X POST https://api.bijani.space/v1/functions \
  -H "Authorization: Bearer $BIJANI_API_TOKEN" \
  -H "Content-Type: application/javascript" \
  --data-binary "@function.js"

# Run inference
curl -X POST https://api.bijani.space/v1/inference/llama-3-8b \
  -H "Authorization: Bearer $BIJANI_API_TOKEN" \
  -d '{"prompt":"Hello world","max_tokens":100}'

CLI Reference

The Bijani CLI provides a complete interface for managing your infrastructure.

bijani deploy        # Deploy current project
bijani logs          # Stream function logs
bijani list          # List deployed functions
bijani env set       # Set environment variables
bijani models list   # List available AI models
bijani vectors create # Create a vector index
bijani status        # Show deployment status

Build with Bijani