revenium-middleware 0.4.1

A Python library that provides core functionality to send AI metering data to Revenium with decorator support.

Revenium Core Middleware

A foundational library that provides core metering functionality shared across all Revenium AI provider-specific middleware implementations (OpenAI, Anthropic, Ollama, etc).

Features

• ** Shared Core Functionality**: Provides the essential metering infrastructure used by all Revenium middleware implementations
• ** Asynchronous Processing**: Background thread management for non-blocking metering operations
• ** Graceful Shutdown**: Ensures all metering data is properly sent even during application shutdown
• ** Provider Agnostic**: Designed to work with any AI provider through specific middleware implementations

Installation

pip install revenium-middleware

Usage

Direct Usage

While this package is primarily intended as a dependency for provider-specific middleware, you can use it directly:

from revenium_middleware import client, run_async_in_thread, shutdown_event

# Record usage directly
client.record_usage(
    model="gpt-4o",
    prompt_tokens=500,
    completion_tokens=200,
    user_id="user123",
    session_id="session456"
)

# Run async metering tasks in background threads
async def async_metering_task():
    await client.async_record_usage(
        model="gpt-3.5-turbo",
        prompt_tokens=300,
        completion_tokens=150,
        user_id="user789"
    )

thread = run_async_in_thread(async_metering_task())

# Application continues while metering happens in background

️ Building Provider-Specific Middleware

This library is designed to be extended by provider-specific middleware implementations:

from revenium_middleware import client, run_async_in_thread

# Example of how a provider-specific middleware might use the core
def record_provider_usage(response_data, metadata):
    # Extract token counts from provider-specific response format
    prompt_tokens = response_data.usage.prompt_tokens
    completion_tokens = response_data.usage.completion_tokens
    
    # Use the core client to record the usage
    run_async_in_thread(
        client.async_record_usage(
            model=response_data.model,
            prompt_tokens=prompt_tokens,
            completion_tokens=completion_tokens,
            **metadata
        )
    )

Compatibility

• Python 3.8+
• Compatible with all Revenium provider-specific middleware implementations

Logging

This module uses Python's standard logging system. You can control the log level by setting the REVENIUM_LOG_LEVEL environment variable:

# Enable debug logging
export REVENIUM_LOG_LEVEL=DEBUG

# Or when running your script
REVENIUM_LOG_LEVEL=DEBUG python your_script.py

Available log levels:

• DEBUG: Detailed debugging information
• INFO: General information (default)
• WARNING: Warning messages only
• ERROR: Error messages only
• CRITICAL: Critical error messages only

Documentation

For detailed documentation, visit docs.revenium.io

Contributing

See CONTRIBUTING.md

Code of Conduct

See CODE_OF_CONDUCT.md

Security

See SECURITY.md

License

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

Acknowledgments

• Built by the Revenium team