llama-stack/llama_stack/templates
Hardik Shah deab4f57dd
Improved report generation for providers (#844)
# What does this PR do?

Automates the model list check by querying the distro. 
Added support for both remote hosted and templates. 

## Test Plan
Run on a remote hosted distro via 
`LLAMA_STACK_BASE_URL="https://llamastack-preview.fireworks.ai" pytest
-s -v tests/client-sdk --report`
Run on a template via 
`LLAMA_STACK_CONFIG=fireworks pytest -s -v  tests/client-sdk --report`
2025-01-22 15:27:09 -08:00
..
bedrock [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
cerebras [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
experimental-post-training fix experimental-post-training template (#842) 2025-01-22 15:04:05 -08:00
fireworks Improved report generation for providers (#844) 2025-01-22 15:27:09 -08:00
hf-endpoint [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
hf-serverless [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
meta-reference-gpu [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
meta-reference-quantized-gpu [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
nvidia [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
ollama [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
remote-vllm [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
tgi [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
together [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
vllm-gpu [memory refactor][5/n] Migrate all vector_io providers (#835) 2025-01-22 10:17:59 -08:00
__init__.py Auto-generate distro yamls + docs (#468) 2024-11-18 14:57:06 -08:00
template.py Fix incorrect RunConfigSettings due to the removal of conda_env (#801) 2025-01-17 21:30:57 -08:00