Langfuse Tracing in Python: Turn LLM Failures into Eval Tests

Professor Py: AI Engineering · Intermediate ·🛠️ AI Tools & Apps ·1mo ago

About this lesson

Turn production failures into repeatable evals by capturing failing LLM runs with Langfuse in Python. Learn how to record structured traces, assign severity, promote failures into a dataset, and replay regressions as deterministic tests for CI. Demonstration uses the Langfuse Python SDK for tracing, scoring, dataset creation, and replayable evals to improve LLM observability and triage. Subscribe for practical AI engineering tutorials on regression testing, observability, and production LLM workflows. #Langfuse #Python #LLMops #AIEngineering #Observability #RegressionTesting #MachineLearning

Original Description

Turn production failures into repeatable evals by capturing failing LLM runs with Langfuse in Python. Learn how to record structured traces, assign severity, promote failures into a dataset, and replay regressions as deterministic tests for CI. Demonstration uses the Langfuse Python SDK for tracing, scoring, dataset creation, and replayable evals to improve LLM observability and triage. Subscribe for practical AI engineering tutorials on regression testing, observability, and production LLM workflows. #Langfuse #Python #LLMops #AIEngineering #Observability #RegressionTesting #MachineLearning
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