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.
This commit is contained in:
Ashwin Bharambe 2025-02-27 13:16:50 -08:00 committed by GitHub
parent 564f0e5f93
commit 928a39d17b
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23 changed files with 165 additions and 1004 deletions

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@ -12,11 +12,16 @@ from .models import MODEL_ENTRIES
class OpenAIInferenceAdapter(LiteLLMOpenAIMixin):
def __init__(self, config: OpenAIConfig) -> None:
LiteLLMOpenAIMixin.__init__(self, MODEL_ENTRIES)
LiteLLMOpenAIMixin.__init__(
self,
MODEL_ENTRIES,
api_key_from_config=config.api_key,
provider_data_api_key_field="openai_api_key",
)
self.config = config
async def initialize(self) -> None:
pass
await super().initialize()
async def shutdown(self) -> None:
pass
await super().shutdown()