Traceloop provides observability for large language model applications by capturing operational signals such as response behavior, request routes, prompts, and model outputs. It fits production monitoring workflows where teams need to find bottlenecks, investigate failures, and understand application behavior across services or models. section 11.4.7
A practical integration initializes the SDK with a Traceloop API key, connects an Azure OpenAI client, and exercises the application with repeated test inputs. This supports load testing and makes observability data available while requests run.
Load-testing a chat application
Set TRACELOOP_API_KEY, initialize Traceloop, configure AzureOpenAI with an endpoint and API key, then run 50 iterations over prompts such as “Hello,” “Tell me a joke,” and “What is the capital of France?”
