forked from phoenix-oss/llama-stack-mirror
# What does this PR do? - Fix loading SambaNovaImpl issue - Add LlamaGuard model support for inference ## Test Plan Run the following unit test scripts and results ### Embedding ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_embeddings.py --inference-model meta-llama/Llama-3.2-11B-Vision-Instruct --env SAMBANOVA_API_KEY={SAMBANOVA_API_KEY} ``` ``` llama_stack/providers/tests/inference/test_embeddings.py::TestEmbeddings::test_embeddings[-sambanova] SKIPPED (This test is only applicable for embedding models) llama_stack/providers/tests/inference/test_embeddings.py::TestEmbeddings::test_batch_embeddings[-sambanova] SKIPPED (This test is only applicable for embedding models) =================================================================================================================== 2 skipped, 1 warning in 0.32s =================================================================================================================== ``` ### Vision ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_vision_inference.py --inference-model meta-llama/Llama-3.2-11B-Vision-Instruct --env SAMBANOVA_API_KEY={SAMBANOVA_API_KEY} ``` ``` llama_stack/providers/tests/inference/test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_non_streaming[-sambanova-image0-expected_strings0] PASSED llama_stack/providers/tests/inference/test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_non_streaming[-sambanova-image1-expected_strings1] PASSED llama_stack/providers/tests/inference/test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_streaming[-sambanova] PASSED =================================================================================================================== 3 passed, 1 warning in 2.68s ==================================================================================================================== ``` ### Text ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_streaming --env SAMBANOVA_API_KEY={SAMBANOVA_API_KEY} ``` ``` llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_streaming[-sambanova] PASSED =================================================================================================================== 1 passed, 1 warning in 0.46s ==================================================================================================================== ``` ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_non_streaming --env SAMBANOVA_API_KEY={SAMBANOVA_API_KEY} ``` ``` llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_non_streaming[-sambanova] PASSED =================================================================================================================== 1 passed, 1 warning in 0.48s ==================================================================================================================== ``` ## Before submitting - [] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [Y] Ran pre-commit to handle lint / formatting issues. - [Y] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [Y] Updated relevant documentation. - [Y] Wrote necessary unit or integration tests.
32 lines
718 B
YAML
32 lines
718 B
YAML
version: '2'
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distribution_spec:
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description: Use SambaNova.AI for running LLM inference
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providers:
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inference:
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- remote::sambanova
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vector_io:
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- inline::faiss
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- remote::chromadb
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- remote::pgvector
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safety:
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- inline::llama-guard
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agents:
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- inline::meta-reference
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telemetry:
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- inline::meta-reference
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eval:
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- inline::meta-reference
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datasetio:
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- remote::huggingface
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- inline::localfs
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scoring:
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- inline::basic
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- inline::llm-as-judge
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- inline::braintrust
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tool_runtime:
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- remote::brave-search
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- remote::tavily-search
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- inline::code-interpreter
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- inline::rag-runtime
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- remote::model-context-protocol
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image_type: conda
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