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Automated telemetry and monitoring for ML & LLM Frameworks

Project description

MLMonitor - Automatic Instrumentation for ML Frameworks

Roadmap

  • Prometheus Support for major ML & LLM frameworks
    • Langchain - Done
    • LLamaIndex - Coming Soon
    • SKLearn - Coming Soon
    • transformers - Coming Soon
    • pytorch - Coming Soon

Installation

  1. Install from PyPI
pip install xpuls-mlmonitor

Usage

from xpuls.mlmonitor.langchain.instrument import LangchainTelemetry

# Add default labels that will be added to all captured metrics
default_labels = {"service": "ml-project-service", "k8s-cluster": "app0", "namespace": "dev"}

# Enable the auto-telemetry
LangchainTelemetry(default_labels=default_labels).auto_instrument()

License

This project is licensed under the Apache License 2.0. See the LICENSE file for more details.

Contributing

We welcome contributions to MLMonitor! If you're interested in contributing.

If you encounter any issues or have feature requests, please file an issue on our GitHub repository.

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