fix: Avoid model_limits KeyError (backport #4060) #4283
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# What does this PR do? It avoids model_limit KeyError while trying to get embedding models for Watsonx <!-- If resolving an issue, uncomment and update the line below --> Closes #4059 ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Start server with watsonx distro: ```bash llama stack list-deps watsonx | xargs -L1 uv pip install uv run llama stack run watsonx ``` Run ```python client = LlamaStackClient(base_url=base_url) client.models.list() ``` Check if there is any embedding model available (currently there is not a single one) (cherry picked from commit 07c28cd)
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What does this PR do?
It avoids model_limit KeyError while trying to get embedding models for Watsonx
Closes #4059
Test Plan
Start server with watsonx distro:
llama stack list-deps watsonx | xargs -L1 uv pip install uv run llama stack run watsonxRun
Check if there is any embedding model available (currently there is not a single one)
This is an automatic backport of pull request #4060 done by Mergify.