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feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin

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- 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
This commit is contained in:
Matthew Farrellee 2025-09-25 04:56:54 -04:00
parent a50b63906c
commit 466ef6f490
43 changed files with 370 additions and 1016 deletions
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3
llama_stack/providers/remote/inference/llama_openai_compat/llama.py
View file

@ -8,8 +8,6 @@ from llama_stack.providers.remote.inference.llama_openai_compat.config import Ll
from llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
from .models import MODEL_ENTRIES
logger = get_logger(name=__name__, category="inference::llama_openai_compat")
@ -30,7 +28,6 @@ class LlamaCompatInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
def __init__(self, config: LlamaCompatConfig):
LiteLLMOpenAIMixin.__init__(
self,
model_entries=MODEL_ENTRIES,
litellm_provider_name="meta_llama",
api_key_from_config=config.api_key,
provider_data_api_key_field="llama_api_key",

25
llama_stack/providers/remote/inference/llama_openai_compat/models.py
View file

@ -1,25 +0,0 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from llama_stack.models.llama.sku_types import CoreModelId
from llama_stack.providers.utils.inference.model_registry import (
build_hf_repo_model_entry,
)
MODEL_ENTRIES = [
build_hf_repo_model_entry(
"Llama-3.3-70B-Instruct",
CoreModelId.llama3_3_70b_instruct.value,
),
build_hf_repo_model_entry(
"Llama-4-Scout-17B-16E-Instruct-FP8",
CoreModelId.llama4_scout_17b_16e_instruct.value,
),
build_hf_repo_model_entry(
"Llama-4-Maverick-17B-128E-Instruct-FP8",
CoreModelId.llama4_maverick_17b_128e_instruct.value,
),
]