docs: agent metrics code examples improvement #1983
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…de can be run without any further modifications. It clearly shows how the evaluator_llm object is created (which is not self explanatory)
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Description
This update refactors the provided examples incorporating the corresponding async blocks. The changes enable the code to be executed seamlessly without any further modifications.
Key Changes:
Asynchronous Functionality: Wrapped relevant code in an async def function, allowing for proper asynchronous execution. This eliminates any runtime issues associated with unhandled asynchronous operations.
Evaluator LLM Initialization: Clearly demonstrates the creation of the evaluator_llm object using the LangchainLLMWrapper with the ChatOpenAI model set to gpt-4o. This change improves clarity as the setup of the evaluator was previously not self-explanatory.
Code Readability: Improved formatting and organization of import statements for better readability and maintainability.