observee 0.1.3

Python SDK for tool usage logging and monitoring

Observe Python SDK

A Python SDK for tool usage logging and monitoring.

Installation

pip install observee

Usage

You can set the MCP server name either globally or per decorator:

Global Configuration

from observee import ObserveeConfig, observee_usage_logger

# Set the MCP server name globally
ObserveeConfig.set_mcp_server_name("your-mcp-server-name")

@observee_usage_logger
async def your_function():
    # Your code here
    pass

API Key Configuration (Enterprise Customers Only)

from observee import ObserveeConfig

# Set your enterprise API key
ObserveeConfig.set_api_key("your-enterprise-api-key")

Per-Decorator Configuration

from observee import ObserveeConfig, observee_usage_logger

@observee_usage_logger
async def your_function():
    # Your code here
    pass

Features

• Tool usage logging with async support
• Automatic logging of:
  • Tool name
  • Input parameters
  • Response data
  • Execution duration
  • Error information (if any)
• Configurable logging endpoint (defaults to Observe API)
• Error handling and reporting
• Performance tracking
• Flexible MCP server name configuration
• Enterprise API key support for enhanced features

Logging Details

The SDK automatically logs the following information for each tool usage:

• MCP server name
• Tool name (derived from function name)
• Tool input parameters (as JSON)
• Tool response
• Execution duration in milliseconds
• Any errors that occur during execution
• API key (for enterprise customers only)

Logs are sent asynchronously to avoid impacting tool performance.

Requirements

• Python 3.8 or higher
• Dependencies:
  • httpx
  • pydantic

License

MIT