O Open Source Observability medium
Azure OpenAI Logger
by Community
"Batteries included" logging solution for your Azure OpenAI instance.
AO
OSS
Azure OpenAI Logger
Added 1 June 2026
Overview
A community-built Bicep template that deploys a logging infrastructure for Azure OpenAI instances. It captures API call metadata and token usage with minimal configuration.
Best for
Best for
Developers who need lightweight, zero-fuss logging for Azure OpenAI endpoints
Use cases
- Monitor API call volumes and token consumption
- Audit usage patterns across Azure OpenAI deployments
- Enable cost tracking and usage dashboards
Notes
A community-built Bicep template that deploys a logging infrastructure for Azure OpenAI instances. It captures API call metadata and token usage with minimal configuration.
73 stars on GitHub. Last updated 2025-07-06.
Use cases
- Monitor API call volumes and token consumption
- Audit usage patterns across Azure OpenAI deployments
- Enable cost tracking and usage dashboards
Pros
- Batteries-included setup with Bicep reduces manual wiring
- Small codebase (73 stars) easy to review and customize
- Focuses on a single, well-defined use case
Cons
- Limited to Azure OpenAI (no multi-model support)
- Community project may have unhandled edge cases in production
- No built-in alerting or advanced analytics
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Batteries-included setup with Bicep reduces manual wiring
- Small codebase (73 stars) easy to review and customize
- Focuses on a single, well-defined use case
Cons
- Limited to Azure OpenAI (no multi-model support)
- Community project may have unhandled edge cases in production
- No built-in alerting or advanced analytics