Worked on enhancing the stability and reliability of content mapping in the pydantic/pydantic-ai repository, focusing on the Mistral model’s backend logic. Addressed a runtime error by refining the _map_content function to gracefully skip MistralReferenceChunk objects, ensuring that only MistralTextChunk elements are concatenated and reference chunks are handled without raising exceptions. Emphasized robust data processing by introducing targeted regression tests to prevent future issues and maintain consistent behavior. Utilized Python for backend development and comprehensive testing, prioritizing code resilience and maintainability. The work contributed to a more reliable content assembly pipeline, reducing the risk of failures in production environments.