Ashwin Bharambe 928a39d17b 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.		2025-02-27 13:16:50 -08:00
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__init__.py	[tests] add client-sdk pytests & delete client.py (#638)	2024-12-16 12:04:56 -08:00
dog.png	fix vllm base64 image inference (#815)	2025-01-17 17:07:28 -08:00
test_embedding.py	fix: remove list of list tests, no longer relevant after #1161 (#1205)	2025-02-21 08:07:35 -08:00
test_text_inference.py	feat(providers): Groq now uses LiteLLM openai-compat (#1303)	2025-02-27 13:16:50 -08:00
test_vision_inference.py	feat(providers): support non-llama models for inference providers (#1200)	2025-02-21 13:21:28 -08:00