AI observability beyond Python and TypeScript
Blog post from Braintrust
AI observability tools often lack support for languages beyond Python and TypeScript, posing challenges for developers working with Java, Go, Ruby, or C# in sectors like banking and AI infrastructure. These developers are typically forced to create custom instrumentation or use generic tracing tools that don't cater to AI-specific metrics such as token usage and prompt-completion pairs. In response, native SDKs for Java, Go, Ruby, and C# have been developed using OpenTelemetry for vendor-neutral observability, enabling automatic tracing that integrates seamlessly with existing infrastructures. These SDKs allow for the export of traces to platforms like Braintrust, Datadog, and Honeycomb, and include client wrappers for AI providers to capture essential data and evaluation frameworks for CI/CD environments. Additionally, the SDKs support prompt management by fetching prompts from Braintrust during runtime, and they are open-source, with full documentation and community support available on platforms like GitHub and Discord.