The LLM Service wrappers have evolved over time and need to be cleaned up to be uniform. The following items should be examined and updated to be uniform across the 3 implementations: "openai", "nvfoundation", "nemo". If any other types have been added, they should be cleaned up as well.
[ ] Services should handle environment variables using the new EnvConfigValue class
[ ] All arguments for common methods should use similar names
[ ] All docstrings should be similar and accurate
[ ] Tests for these wrappers should be similar and laid out consistently
[ ] Only one test file per service (remove any service/client separate test files)
[ ] Tests should exercise creation of the class via the LLMService.create function
[ ] Test methods should be arranged in a similar order
[ ] Each service should be used in the tests/llm/test_*_pipe.py tests
The LLM Service wrappers have evolved over time and need to be cleaned up to be uniform. The following items should be examined and updated to be uniform across the 3 implementations: "openai", "nvfoundation", "nemo". If any other types have been added, they should be cleaned up as well.
EnvConfigValueclassLLMService.createfunctiontests/llm/test_*_pipe.pytests