r4u 0.1.1

Observability SDK for LLM applications

R4U Python SDK

An observability SDK that automatically traces HTTP requests from your applications, with special support for LLM API calls.

Installation

pip install r4u

Quick Start

Automatic HTTP Tracing

The easiest way to get started is with automatic HTTP tracing. This will trace all HTTP requests made by any supported HTTP library:

from r4u.tracing import trace_all

# Enable automatic tracing for all HTTP libraries
trace_all()

# Now any HTTP requests will be automatically traced
import httpx
import requests
import aiohttp

# All of these will be automatically traced
httpx_client = httpx.Client()
requests_session = requests.Session()
aiohttp_session = aiohttp.ClientSession()

OpenAI Integration

Since OpenAI uses httpx internally, you can trace OpenAI API calls by enabling HTTP tracing:

from r4u.tracing import trace_all

# Enable tracing BEFORE importing OpenAI
trace_all()

# Now import and use OpenAI normally
from openai import OpenAI

client = OpenAI(api_key="your-api-key")
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello, world!"}]
)

Features

• Automatic HTTP Tracing: Automatically trace all HTTP requests from supported libraries (httpx, requests, aiohttp)
• Multiple HTTP Library Support: Works with httpx, requests, and aiohttp
• OpenAI Integration: Automatically trace OpenAI API calls since they use httpx internally
• Streaming Support: Full support for streaming HTTP requests and responses
• Async Support: Full async/await support for both sync and async HTTP clients
• Background Processing: Traces are sent asynchronously in batches to minimize performance impact
• Error Tracking: Automatic error capture and reporting
• Minimal Overhead: Lightweight wrapper with minimal performance impact
• Custom Tracers: Support for custom tracer implementations

HTTP Trace Data

Each HTTP request generates a comprehensive trace with:

Request Details:

• HTTP method (GET, POST, etc.)
• Full URL
• Request headers (including Authorization)
• Request body (raw bytes)

Response Details:

• HTTP status code
• Response headers
• Response body (raw bytes, including streaming responses)

Timing Information:

• Request start time
• Request completion time
• Total duration

Error Information (if applicable):

• Error messages
• Exception details

Custom Metadata:

• Additional context you can provide
• Extracted fields for convenience

Streaming Example

from r4u.tracing import trace_all

# Enable tracing BEFORE importing OpenAI
trace_all()

from openai import OpenAI

client = OpenAI(api_key="your-api-key")

# Streaming requests are automatically traced
stream = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="")

Custom Tracer Example

from r4u.client import AbstractTracer, HTTPTrace
from r4u.tracing import trace_all

class ConsoleTracer(AbstractTracer):
    def log(self, trace: HTTPTrace):
        print(f"HTTP {trace.method} {trace.url} -> {trace.status_code}")

# Use custom tracer
tracer = ConsoleTracer()
trace_all(tracer)

# All HTTP requests will now be printed to console

For more comprehensive examples, see the examples/ directory.

Configuration

Environment Variables

• R4U_API_URL: Base URL for the R4U server (default: http://localhost:8000)
• R4U_TIMEOUT: HTTP request timeout in seconds (default: 30.0)
• R4U_TOKEN: R4U Cloud server authorization token (optional, not needed for local Open R4U Server)

Development

See the examples/ directory for comprehensive usage examples and the tests/ directory for test cases.