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feat(providers): sambanova updated to use LiteLLM openai-compat (#1596)

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# What does this PR do?

switch sambanova inference adaptor to LiteLLM usage to simplify
integration and solve issues with current adaptor when streaming and
tool calling, models and templates updated

## Test Plan
pytest -s -v tests/integration/inference/test_text_inference.py
--stack-config=sambanova
--text-model=sambanova/Meta-Llama-3.3-70B-Instruct

pytest -s -v tests/integration/inference/test_vision_inference.py
--stack-config=sambanova
--vision-model=sambanova/Llama-3.2-11B-Vision-Instruct
This commit is contained in:
Jorge Piedrahita Ortiz 2025-05-06 18:50:22 -05:00 • committed by GitHub
parent dd49ef31f1
commit b2b00a216b
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15 changed files with 529 additions and 404 deletions
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9
llama_stack/templates/dev/dev.py
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@ -38,6 +38,10 @@ from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
from llama_stack.providers.remote.inference.openai.models import (
MODEL_ENTRIES as OPENAI_MODEL_ENTRIES,
)
from llama_stack.providers.remote.inference.sambanova.config import SambaNovaImplConfig
from llama_stack.providers.remote.inference.sambanova.models import (
MODEL_ENTRIES as SAMBANOVA_MODEL_ENTRIES,
)
from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
from llama_stack.providers.remote.vector_io.pgvector.config import (
PGVectorVectorIOConfig,
@ -77,6 +81,11 @@ def get_inference_providers() -> tuple[list[Provider], list[ModelInput]]:
GROQ_MODEL_ENTRIES,
GroqConfig.sample_run_config(api_key="${env.GROQ_API_KEY:}"),
),
(
"sambanova",
SAMBANOVA_MODEL_ENTRIES,
SambaNovaImplConfig.sample_run_config(api_key="${env.SAMBANOVA_API_KEY:}"),
),
]
inference_providers = []
available_models = {}