llm wrappers for multimodal architectures team
Project description
mmar-llm
how to run tests via pytest
- Create
.envin current directory.
Example:
llm_config_path=/mnt/data/envs/creds/llm_config.json
test_endpoint_keys=["giga-max-sberai","gemini", "giga-max-fin-aifa", "airi-giga"]
test_endpoint_keys_embeddings=["embeddings", "giga-max-fin-aifa"]
test_endpoint_keys_files=["giga-max-fin-aifa", "airi-giga"]
- Run:
pytest:: to run all testspytest -s:: to run all tests and show logspytest --stepwise:: to stop on first failpytest -k airi:: to filter tests which haveairias substringpytest -k 'not airi':: to filter tests which have notairias substringpytest -k airi -k file:: many filters supportedpytest -k aifa -k file --collect-only:: just show generated filtered tests, without running
Output:
<Dir mmar-llm>
<Package tests>
<Module test_get_response.py>
<Function test_get_response_with_file[giga-max-fin-aifa]>
<Function test_get_response_with_file[airi-giga]>
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