Varsha Prasad Narsing e35e6eebfe chore: Add OpenAI compatiblity for vLLM embeddings ... - Implement OpenAI-compatible embeddings endpoint in vLLM provider - Support both float and base64 encoding formats - Add proper error handling and response formatting Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>		2025-06-16 12:23:50 -07:00
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agents	test: add unit test to ensure all config types are instantiable (#1601)	2025-03-12 22:29:58 -07:00
datasetio	feat: Add Nvidia e2e beginner notebook and tool calling notebook (#1964)	2025-06-16 11:29:01 -04:00
eval	chore: enable pyupgrade fixes (#1806)	2025-05-01 14:23:50 -07:00
inference	chore: Add OpenAI compatiblity for vLLM embeddings	2025-06-16 12:23:50 -07:00
post_training	fix: Pass model parameter as config name to NeMo Customizer (#2218)	2025-05-20 09:51:39 -07:00
safety	feat: Add Nvidia e2e beginner notebook and tool calling notebook (#1964)	2025-06-16 11:29:01 -04:00
tool_runtime	fix: match mcp headers in provider data to Responses API shape (#2263)	2025-05-25 14:33:10 -07:00
vector_io	feat: Implement hybrid search in SQLite-vec (#2312)	2025-06-13 15:54:06 -04:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00