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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
Francisco Arceo
de6ec5803e
fix: Fix linter failures from #1921 (#1932) 
# What does this PR do?
fix: Fix linter failures from #1921

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
 2025-04-10 10:37:31 -07:00
ehhuang
14146e4b3f
feat(verification): various improvements (#1921) 
# What does this PR do?
- provider and their models now live in config.yaml
- better distinguish different cases within a test
- add model key to surface provider's model_id
- include example command to rerun single test case

## Test Plan
<img width="1173" alt="image"
src="https://github.com/user-attachments/assets/b414baf0-c768-451f-8c3b-c2905cf36fac"
/>
 2025-04-10 10:26:19 -07:00