sarva-20/LLM-Observability-FOSS

🧠 Learn LLM Observability step-by-step using FOSS tools. From zero visibility to full monitoring with Langtrace, OpenTelemetry, and Jaeger. Demo from FOSS United Coimbatore Meetup.

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Experimental

Building an application powered by large language models (LLMs) can feel like a black box, making it hard to understand costs, debug issues like slow responses or incorrect answers, and monitor performance. This project helps you add 'observability' to your LLM application, turning a black box into a transparent system. It takes your LLM application's code and, through open-source tools, produces detailed insights into its operations, like token usage, failure points, and response times. Developers and engineers building and managing LLM-powered applications will use this to gain crucial operational visibility.

Use this if you are a developer or engineer building an LLM application and need to understand its internal workings, costs, and performance using free and open-source tools.

Not ideal if you are looking for a fully managed, commercial observability solution or if your application does not involve large language models.

LLM development application monitoring debugging system performance software engineering
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 13 / 25
Community 3 / 25

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Stars

41

Forks

1

Language

Python

License

MIT

Last pushed

Jan 07, 2026

Commits (30d)

0

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