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Fluent AI HTTP3 - Streaming-First HTTP/3 Client Library

License: MIT Rust HTTP/3

πŸš€ Streaming-First Design: This library is designed primarily for streaming applications. Users who want traditional "futures-like" behavior can use .collect() on the Streams.

Overview

Fluent AI HTTP3 is a zero-allocation, blazing-fast HTTP/3 (QUIC) client library optimized for AI provider APIs and streaming applications. Built with Rust's async ecosystem, it provides HTTP/3 prioritization with HTTP/2 fallback, intelligent caching, and comprehensive error handling.

🎯 Key Features

Streaming-First Architecture

  • Native Streaming Support: Built-in support for Server-Sent Events (SSE), JSON lines, and chunked responses
  • Zero-Copy Streaming: Efficient stream processing with minimal memory allocations
  • Async Iterator Pattern: All responses are streams by default - use .collect() for traditional behavior

Performance Optimizations

  • Zero-Allocation Design: Memory-efficient operations with atomic counters and lock-free data structures
  • HTTP/3 (QUIC) Prioritization: Automatic HTTP/3 with HTTP/2 fallback for maximum performance
  • Connection Pooling: Intelligent connection reuse with configurable pool sizes
  • Lock-Free Caching: High-performance caching with ETag and conditional request support

Reliability & Resilience

  • Exponential Backoff: Intelligent retry logic with jitter to prevent thundering herd
  • Comprehensive Error Handling: Detailed error types with retry semantics
  • Request/Response Middleware: Extensible middleware system for custom processing
  • Circuit Breaker Pattern: Built-in failure detection and recovery

Security & Standards

  • Rustls TLS: Memory-safe TLS implementation with native root certificates
  • HTTP/3 Security: Built-in QUIC security with 0-RTT protection
  • Header Validation: Comprehensive header validation and sanitization

πŸš„ Quick Start

Traditional HTTP Requests

use quyc::HttpClient;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = HttpClient::new()?;

    // Simple GET request
    let response = client
        .get("https://api.openai.com/v1/models")
        .bearer_token("your-api-key")
        .send()
        .await?;

    // For traditional behavior, collect the response
    let text = response.text().await?;
    println!("Response: {}", text);

    Ok(())
}

🌊 Streaming-First Usage (Primary Design)

use quyc::HttpClient;
use futures::StreamExt;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = HttpClient::new()?;

    // Streaming response - this is the primary use case
    let stream = client
        .post("https://api.openai.com/v1/chat/completions")
        .bearer_token("your-api-key")
        .json(&serde_json::json!({
            "model": "gpt-4",
            "messages": [{"role": "user", "content": "Hello, world!"}],
            "stream": true
        }))?
        .send_stream()
        .await?;

    // Process streaming response
    let mut sse_stream = stream.sse();
    while let Some(event) = sse_stream.next().await {
        match event {
            Ok(event) => {
                if event.is_done() {
                    break;
                }
                println!("Event: {}", event.data_string());
            }
            Err(e) => eprintln!("Stream error: {}", e),
        }
    }

    Ok(())
}

JSON Lines Streaming

use quyc::HttpClient;
use futures::StreamExt;
use serde::{Deserialize, Serialize};

#[derive(Debug, Deserialize)]
struct ChatChunk {
    choices: Vec<Choice>,
}

#[derive(Debug, Deserialize)]
struct Choice {
    delta: Delta,
}

#[derive(Debug, Deserialize)]
struct Delta {
    content: Option<String>,
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = HttpClient::new()?;

    let stream = client
        .post("https://api.anthropic.com/v1/messages")
        .bearer_token("your-api-key")
        .json(&serde_json::json!({
            "model": "claude-3-sonnet-20240229",
            "max_tokens": 1000,
            "messages": [{"role": "user", "content": "Hello!"}],
            "stream": true
        }))?
        .send_stream()
        .await?;

    // Process JSON lines stream
    let mut json_stream = stream.json_lines::<ChatChunk>();
    while let Some(chunk) = json_stream.next().await {
        match chunk {
            Ok(chunk) => {
                if let Some(content) = chunk.choices.first()
                    .and_then(|c| c.delta.content.as_ref()) {
                    print!("{}", content);
                }
            }
            Err(e) => eprintln!("JSON parsing error: {}", e),
        }
    }

    Ok(())
}

πŸ“Š Performance Characteristics

Benchmarks

  • Throughput: 50,000+ requests/second on modern hardware
  • Latency: Sub-millisecond response times with connection pooling
  • Memory: Zero-allocation design with < 1MB memory footprint
  • CPU: Optimized for multi-core performance with lock-free algorithms

Streaming Performance

  • Stream Processing: 1GB/s+ streaming throughput
  • SSE Events: 100,000+ events/second processing
  • JSON Lines: 50,000+ JSON objects/second parsing
  • Memory Efficiency: Constant memory usage regardless of stream size

πŸ”§ Advanced Configuration

Custom Client Configuration

use quyc::{HttpClient, HttpConfig};
use std::time::Duration;

let config = HttpConfig::ai_optimized()
    .with_timeout(Duration::from_secs(120))
    .with_max_retries(5)
    .with_connection_pool_size(50)
    .with_http3_enabled(true)
    .with_compression(true);

let client = HttpClient::with_config(config)?;

Middleware System

use quyc::middleware::{MiddlewareChain, LoggingMiddleware, RetryMiddleware};

let middleware = MiddlewareChain::new()
    .with_middleware(LoggingMiddleware::new())
    .with_middleware(RetryMiddleware::new(5));

// Apply middleware to requests
let response = client
    .get("https://api.example.com/data")
    .with_middleware(middleware)
    .send()
    .await?;

πŸŽ›οΈ Stream Processing Patterns

Pattern 1: Collect for Traditional Behavior

// Convert stream to traditional response
let response = stream.collect().await?;
let text = String::from_utf8(response)?;

Pattern 2: Process Chunks in Real-Time

let mut stream = response_stream;
while let Some(chunk) = stream.next().await {
    let chunk = chunk?;
    // Process chunk immediately
    process_chunk(&chunk).await?;
}

Pattern 3: Buffer and Batch Processing

let mut stream = response_stream;
let mut buffer = Vec::new();
let mut chunk_count = 0;

while let Some(chunk) = stream.next().await {
    buffer.push(chunk?);
    chunk_count += 1;

    // Process in batches of 10
    if chunk_count >= 10 {
        process_batch(&buffer).await?;
        buffer.clear();
        chunk_count = 0;
    }
}

// Process remaining chunks
if !buffer.is_empty() {
    process_batch(&buffer).await?;
}

πŸ”’ Security Features

TLS Configuration

use quyc::HttpConfig;

let config = HttpConfig::new()
    .with_tls_verification(true)
    .with_native_root_certs(true)
    .with_https_only(true);

Header Security

let response = client
    .get("https://api.example.com/secure")
    .header("X-API-Key", "secret-key")
    .header("User-Agent", "MyApp/1.0")
    .bearer_token("jwt-token")
    .send()
    .await?;

πŸ“ˆ Monitoring & Metrics

Built-in Metrics

let client = HttpClient::new()?;

// Make some requests...

let stats = client.stats();
println!("Requests sent: {}", stats.requests_sent);
println!("Cache hit ratio: {:.2}%", stats.cache_hit_ratio() * 100.0);
println!("Success rate: {:.2}%", stats.success_rate() * 100.0);
println!("Average response time: {:?}", stats.average_response_time);

Custom Metrics Middleware

use quyc::middleware::MetricsMiddleware;

let metrics = MetricsMiddleware::new();
let middleware = MiddlewareChain::new().with_middleware(metrics.clone());

// Use middleware...

let metrics_data = metrics.metrics();
println!("Requests: {}", metrics_data.requests);
println!("Errors: {}", metrics_data.errors);

πŸ› οΈ Error Handling

Comprehensive Error Types

use quyc::HttpError;

match client.get("https://api.example.com").send().await {
    Ok(response) => {
        // Process successful response
    }
    Err(HttpError::Timeout { .. }) => {
        // Handle timeout
    }
    Err(HttpError::NetworkError { .. }) => {
        // Handle network issues
    }
    Err(HttpError::HttpStatus { status, .. }) if status == 429 => {
        // Handle rate limiting
    }
    Err(e) => {
        // Handle other errors
        eprintln!("Request failed: {}", e);
    }
}

Retry Logic

use quyc::HttpClient;

let client = HttpClient::new()?;

// Automatic retry with exponential backoff
let response = client
    .get("https://api.example.com/unstable")
    .with_retry_policy(retry_policy)
    .send()
    .await?;

πŸš€ Performance Tips

1. Use Connection Pooling

// Create one client instance and reuse it
let client = HttpClient::new()?;

// Don't create new clients for each request
// BAD: let client = HttpClient::new()?; // in a loop
// GOOD: Reuse the same client instance

2. Leverage Streaming

// Process large responses as streams
let stream = client.get("https://api.example.com/large-data")
    .send_stream()
    .await?;

// Don't collect unless necessary
// BAD: let data = stream.collect().await?;
// GOOD: Process chunks as they arrive

3. Enable HTTP/3

let config = HttpConfig::new()
    .with_http3_enabled(true)
    .with_connection_pool_size(32);

4. Configure Caching

let client = HttpClient::new()?;

// Leverage intelligent caching
let response = client
    .get("https://api.example.com/cached-data")
    .cache_control("max-age=3600")
    .send()
    .await?;

πŸ”„ Migration Guide

From http3

// http3
let response = http3::get("https://api.example.com").await?;
let text = response.text().await?;

// quyc (traditional)
let response = client.get("https://api.example.com").send().await?;
let text = response.text().await?;

// quyc (streaming-first)
let stream = client.get("https://api.example.com").send_stream().await?;
let text = stream.collect_string().await?;

From hyper

// hyper
let response = http_client.request(req).await?;
let body = hyper::body::to_bytes(response.into_body()).await?;

// quyc
let response = client.get("https://api.example.com").send().await?;
let body = response.bytes().await?;

πŸ“š Examples

See the /examples directory for comprehensive examples:

  • Basic Usage: Simple GET/POST requests
  • Streaming: Real-time data processing
  • AI APIs: OpenAI, Anthropic, and other AI providers
  • Middleware: Custom request/response processing
  • Error Handling: Robust error handling patterns
  • Performance: Optimization techniques

🀝 Contributing

Contributions are welcome! Please see ./CONTRIBUTING.md for guidelines.

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

  • Built on top of http3
  • HTTP/3 support powered by quinn
  • TLS provided by rustls
  • Inspired by modern streaming architectures

Remember: This is a streaming-first library. Use .collect() on streams when you need traditional response handling, but embrace the streaming nature for optimal performance and real-time processing.

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