forked from phoenix-oss/llama-stack-mirror
b52df5fe5b
# What does this PR do? add the completion api to the nvidia inference provider ## Test Plan while running the meta/llama-3.1-8b-instruct NIM from https://build.nvidia.com/meta/llama-3_1-8b-instruct?snippet_tab=Docker ``` ➜ pytest -s -v --providers inference=nvidia llama_stack/providers/tests/inference/ --env NVIDIA_BASE_URL=http://localhost:8000 -k test_completion --inference-model Llama3.1-8B-Instruct =============================================== test session starts =============================================== platform linux -- Python 3.10.15, pytest-8.3.3, pluggy-1.5.0 -- /home/matt/.conda/envs/stack/bin/python cachedir: .pytest_cache rootdir: /home/matt/Documents/Repositories/meta-llama/llama-stack configfile: pyproject.toml plugins: anyio-4.6.2.post1, asyncio-0.24.0, httpx-0.34.0 asyncio: mode=strict, default_loop_scope=None collected 20 items / 18 deselected / 2 selected llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion[-nvidia] PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion_structured_output[-nvidia] SKIPPED ============================= 1 passed, 1 skipped, 18 deselected, 6 warnings in 5.40s ============================= ``` the structured output functionality works but the accuracy fails ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [x] Ran pre-commit to handle lint / formatting issues. - [x] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [x] Wrote necessary unit or integration tests. |
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| databricks | ||
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| ollama | ||
| sample | ||
| tgi | ||
| together | ||
| vllm | ||
| __init__.py | ||