forked from phoenix-oss/llama-stack-mirror
The test depends on llama's tool calling ability. In the CI, we run with a small ollama model. The fix might be to check for either message or function_call because the model is flaky and we aren't really testing that behavior? |
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| .. | ||
| __init__.py | ||
| dog.png | ||
| test_batch_inference.py | ||
| test_embedding.py | ||
| test_openai_completion.py | ||
| test_text_inference.py | ||
| test_vision_inference.py | ||
| vision_test_1.jpg | ||
| vision_test_2.jpg | ||
| vision_test_3.jpg | ||