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928a39d17b
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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| .. | ||
| bedrock | ||
| cerebras | ||
| dell-tgi | ||
| fireworks | ||
| meta-reference-gpu | ||
| meta-reference-quantized-gpu | ||
| ollama | ||
| remote-nvidia | ||
| remote-vllm | ||
| runpod | ||
| sambanova | ||
| tgi | ||
| together | ||
| vllm-gpu | ||
| dependencies.json | ||