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Author SHA1 Message Date
Ben Browning
8a1c0a1008 Improve groq OpenAI API compatibility 
This doesn't get Groq to 100% on the OpenAI API verification tests,
but it does get it to 88.2% when Llama Stack is in the middle,
compared to the 61.8% results for using an OpenAI client against Groq
directly.

The groq provider doesn't use litellm under the covers in its
openai_chat_completion endpoint, and instead directly uses an
AsyncOpenAI client with some special handling to improve conformance
of responses for response_format usage and tool calling.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
 2025-04-13 13:41:52 -04:00
ehhuang
031a40bec0
fix: type (#1898) 
# What does this PR do?


## Test Plan
 2025-04-08 09:07:25 -07:00
ehhuang
7b4eb0967e
test: verification on provider's OAI endpoints (#1893) 
# What does this PR do?


## Test Plan
export MODEL=accounts/fireworks/models/llama4-scout-instruct-basic;
LLAMA_STACK_CONFIG=verification pytest -s -v tests/integration/inference
--vision-model $MODEL --text-model $MODEL
 2025-04-07 23:06:28 -07:00