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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
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43 changed files with 368 additions and 1015 deletions
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@ -54,15 +54,18 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
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)
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from .config import FireworksImplConfig
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from .models import MODEL_ENTRIES
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logger = get_logger(name=__name__, category="inference::fireworks")
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class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, NeedsRequestProviderData):
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embedding_model_metadata = {
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"nomic-ai/nomic-embed-text-v1.5": {"embedding_dimension": 768, "context_length": 8192},
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}
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def __init__(self, config: FireworksImplConfig) -> None:
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ModelRegistryHelper.__init__(self, MODEL_ENTRIES, config.allowed_models)
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self.config = config
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self.allowed_models = config.allowed_models
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async def initialize(self) -> None:
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pass
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@ -1,70 +0,0 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.apis.models import ModelType
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from llama_stack.models.llama.sku_types import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import (
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ProviderModelEntry,
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build_hf_repo_model_entry,
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)
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SAFETY_MODELS_ENTRIES = [
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-guard-3-8b",
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CoreModelId.llama_guard_3_8b.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-guard-3-11b-vision",
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CoreModelId.llama_guard_3_11b_vision.value,
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),
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]
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MODEL_ENTRIES = [
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p1-8b-instruct",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p1-70b-instruct",
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CoreModelId.llama3_1_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p1-405b-instruct",
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CoreModelId.llama3_1_405b_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p2-3b-instruct",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p2-11b-vision-instruct",
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CoreModelId.llama3_2_11b_vision_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p2-90b-vision-instruct",
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CoreModelId.llama3_2_90b_vision_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama-v3p3-70b-instruct",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama4-scout-instruct-basic",
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CoreModelId.llama4_scout_17b_16e_instruct.value,
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),
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build_hf_repo_model_entry(
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"accounts/fireworks/models/llama4-maverick-instruct-basic",
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CoreModelId.llama4_maverick_17b_128e_instruct.value,
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),
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ProviderModelEntry(
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provider_model_id="nomic-ai/nomic-embed-text-v1.5",
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model_type=ModelType.embedding,
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metadata={
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"embedding_dimension": 768,
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"context_length": 8192,
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},
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),
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] + SAFETY_MODELS_ENTRIES
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