forked from phoenix-oss/llama-stack-mirror
feat(providers): Groq now uses LiteLLM openai-compat (#1303)
Groq has never supported raw completions anyhow. So this makes it easier to switch it to LiteLLM. All our test suite passes. I also updated all the openai-compat providers so they work with api keys passed from headers. `provider_data` ## Test Plan ```bash LLAMA_STACK_CONFIG=groq \ pytest -s -v tests/client-sdk/inference/test_text_inference.py \ --inference-model=groq/llama-3.3-70b-versatile --vision-inference-model="" ``` Also tested (openai, anthropic, gemini) providers. No regressions.
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23 changed files with 165 additions and 1004 deletions
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@ -11,6 +11,13 @@ from pydantic import BaseModel, Field
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from llama_stack.schema_utils import json_schema_type
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class OpenAIProviderDataValidator(BaseModel):
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openai_api_key: Optional[str] = Field(
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default=None,
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description="API key for OpenAI models",
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)
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@json_schema_type
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class OpenAIConfig(BaseModel):
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api_key: Optional[str] = Field(
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