llama-stack-mirror/llama_stack/providers/remote
Matthew Farrellee b67aef2fc4
feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547)
# What does this PR do?

- remove auto-download of ollama embedding models
- add embedding model metadata to dynamic listing w/ unit test
- add support and tests for allowed_models
- removed inference provider models.py files where dynamic listing is
enabled
- store embedding metadata in embedding_model_metadata field on
inference providers
- make model_entries optional on ModelRegistryHelper and
LiteLLMOpenAIMixin
- make OpenAIMixin a ModelRegistryHelper
- skip base64 embedding test for remote::ollama, always returns floats
- only use OpenAI client for ollama model listing
- remove unused build_model_entry function
- remove unused get_huggingface_repo function


## Test Plan

ci w/ new tests
2025-09-25 17:17:00 -04:00
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio chore(misc): make tests and starter faster (#3042) 2025-08-05 14:55:05 -07:00
eval feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547) 2025-09-25 17:17:00 -04:00
files/s3 chore: simplify authorized sqlstore (#3496) 2025-09-19 16:13:56 -07:00
inference feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547) 2025-09-25 17:17:00 -04:00
post_training refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
safety refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
tool_runtime chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
vector_io feat: update qdrant hash function from SHA-1 to SHA-256 (#3477) 2025-09-17 15:10:10 -07:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00