revenium-middleware-ollama 0.1.16

A Python library that meters Ollama usage to Revenium.

🤖 Revenium Middleware for Ollama

A middleware library for metering and monitoring Ollama API usage in Python applications. 🐍✨

✨ Features

• 📊 Precise Usage Tracking: Monitor tokens, costs, and request counts across all Ollama API endpoints
• 🔌 Seamless Integration: Drop-in middleware that works with minimal code changes
• ⚙️ Flexible Configuration: Customize metering behavior to suit your application needs

📥 Installation

pip install revenium-middleware-ollama

🔧 Usage

🔄 Zero-Config Integration

Simply export your REVENIUM_METERING_API_KEY and import the middleware. Your Ollama calls will be metered automatically:

import ollama
import revenium_middleware_ollama

# Ensure REVENIUM_METERING_API_KEY environment variable is set

response: ollama.ChatResponse = ollama.chat(
    model='qwen2.5:0.5b', messages=[
        {
            'role': 'user',
            'content': 'Why is the sky blue?',
        },
    ])
print(response['message']['content'])

The middleware automatically intercepts Ollama API calls and sends metering data to Revenium without requiring any changes to your existing code. Make sure to set the REVENIUM_METERING_API_KEY environment variable for authentication with the Revenium service.

📈 Enhanced Tracking with Metadata

For more granular usage tracking and detailed reporting, add the usage_metadata parameter:

import ollama
import revenium_middleware_ollama

response = ollama.chat(
    model='qwen2.5:0.5b', messages=[
        {
            'role': 'user',
            'content': 'Why is the sky blue?',
        },
    ],
    usage_metadata={
         "trace_id": "conv-28a7e9d4",
         "task_type": "summarize-customer-issue",
         "subscriber": {
             "id": "subscriberid-1234567890",
             "email": "[e-mail]",
             "credential": {
                 "name": "engineering-api-key",
                 "value": "sk-1234567890abcdef"
             }
         },
         "organization_id": "acme-corp",
         "subscription_id": "startup-plan-Q1",
         "product_id": "saas-app-gold-tier",
         "agent": "support-agent",
    },
)
print(response['message']['content'])

🚀 OpenAI Compatibility Mode

The middleware can also be used with Ollama's OpenAI compatibility mode.

import openai
import revenium_middleware_openai

openai.api_key = 'ollama'
openai.base_url = 'http://localhost:11434/v1/'
question = "Why is the sky blue?"

response = openai.chat.completions.create(
    model="gemma3:12b",
    messages=[
       {"role": "system", "content": "You are a helpful assistant."},
       {"role": "user", "content": question}
    ],
    usage_metadata={
         "trace_id": "conv-28a7e9d4",
         "task_type": "summarize-customer-issue",
         "subscriber": {
             "id": "subscriberid-1234567890",
             "email": "[e-mail]",
             "credential": {
                 "name": "engineering-api-key",
                 "value": "sk-1234567890abcdef"
             }
         },
         "organization_id": "acme-corp",
         "subscription_id": "startup-plan-Q1",
         "product_id": "saas-app-gold-tier",
         "agent": "support-agent",
    }
)

print(response)

🏷️ Metadata Fields

The usage_metadata parameter supports the following fields:

Field	Description	Use Case
trace_id	Unique identifier for a conversation or session	Group multi-turn conversations into single event for performance & cost tracking
task_type	Classification of the AI operation by type of work	Track cost & performance by purpose (e.g., classification, summarization)
subscriber	Object containing subscriber information	Track cost & performance by individual users or API keys
subscriber.id	The id of the subscriber from non-Revenium systems	Track cost & performance by individual users (if customers are anonymous or tracking by emails is not desired)
subscriber.email	The email address of the subscriber	Track cost & performance by individual users (if customer e-mail addresses are known)
subscriber.credential	Object containing credential information	Track cost & performance by API key
subscriber.credential.name	An alias for an API key used by one or more users	Track cost & performance by individual API keys
subscriber.credential.value	The key value associated with the subscriber (i.e an API key)	Track cost & performance by API key value (normally used when the only identifier for a user is an API key)
organization_id	Customer or department ID from non-Revenium systems	Track cost & performance by customers or business units
subscription_id	Reference to a billing plan in non-Revenium systems	Track cost & performance by a specific subscription
product_id	Your product or feature making the AI call	Track cost & performance across different products
agent	Identifier for the specific AI agent	Track cost & performance performance by AI agent
response_quality_score	The quality of the AI response (0..1)	Track AI response quality

All metadata fields are optional. Adding them enables more detailed reporting and analytics in Revenium.

🔄 Compatibility

• 🐍 Python 3.8+
• 🤖 Ollama Python SDK 1.0.0+
• 🌐 Works with all Ollama models

🔍 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

📄 License

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

🙏 Acknowledgments

• 💖 Built with ❤️ by the Revenium team