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# What does this PR do? This PR adds SambaNova as one of the Provider - Add SambaNova as a provider ## Test Plan Test the functional command ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_embeddings.py llama_stack/providers/tests/inference/test_prompt_adapter.py llama_stack/providers/tests/inference/test_text_inference.py llama_stack/providers/tests/inference/test_vision_inference.py --env SAMBANOVA_API_KEY=<sambanova-api-key> ``` Test the distribution template: ``` # Docker LLAMA_STACK_PORT=5001 docker run -it -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \ llamastack/distribution-sambanova \ --port $LLAMA_STACK_PORT \ --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY # Conda llama stack build --template sambanova --image-type conda llama stack run ./run.yaml \ --port $LLAMA_STACK_PORT \ --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY ``` ## Source [SambaNova API Documentation](https://cloud.sambanova.ai/apis) ## 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. --------- Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
83 lines
2.2 KiB
YAML
83 lines
2.2 KiB
YAML
version: '2'
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image_name: sambanova
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docker_image: null
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conda_env: sambanova
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apis:
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- agents
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- inference
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- memory
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- safety
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- telemetry
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providers:
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inference:
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- provider_id: sambanova
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provider_type: remote::sambanova
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config:
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url: https://api.sambanova.ai/v1/
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api_key: ${env.SAMBANOVA_API_KEY}
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memory:
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- provider_id: faiss
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provider_type: inline::faiss
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config:
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kvstore:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/sambanova}/faiss_store.db
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config: {}
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agents:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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persistence_store:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/sambanova}/agents_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config: {}
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metadata_store:
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namespace: null
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/sambanova}/registry.db
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models:
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- metadata: {}
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model_id: meta-llama/Llama-3.1-8B-Instruct
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provider_id: null
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provider_model_id: Meta-Llama-3.1-8B-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.1-70B-Instruct
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provider_id: null
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provider_model_id: Meta-Llama-3.1-70B-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.1-405B-Instruct
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provider_id: null
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provider_model_id: Meta-Llama-3.1-405B-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.2-1B-Instruct
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provider_id: null
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provider_model_id: Meta-Llama-3.2-1B-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.2-3B-Instruct
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provider_id: null
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provider_model_id: Meta-Llama-3.2-3B-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
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provider_id: null
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provider_model_id: Llama-3.2-11B-Vision-Instruct
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- metadata: {}
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model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
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provider_id: null
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provider_model_id: Llama-3.2-90B-Vision-Instruct
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shields:
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- params: null
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shield_id: meta-llama/Llama-Guard-3-8B
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provider_id: null
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provider_shield_id: null
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memory_banks: []
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datasets: []
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scoring_fns: []
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eval_tasks: []
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