clean up

llama_stack/core/routers/inference.py

@@ -590,7 +590,6 @@ class InferenceRouter(Inference):
 
     async def _nonstream_openai_chat_completion(self, provider: Inference, params: dict) -> OpenAIChatCompletion:
         response = await provider.openai_chat_completion(**params)
-
         for choice in response.choices:
             # some providers return an empty list for no tool calls in non-streaming responses
             # but the OpenAI API returns None. So, set tool_calls to None if it's empty

llama_stack/providers/remote/inference/fireworks/models.py

@@ -61,7 +61,6 @@ MODEL_ENTRIES = [
     ),
     ProviderModelEntry(
         provider_model_id="nomic-ai/nomic-embed-text-v1.5",
-        aliases=["nomic-ai/nomic-embed-text-v1.5"],
         model_type=ModelType.embedding,
         metadata={
             "embedding_dimension": 768,

tests/integration/inference/test_openai_completion.py

@@ -13,13 +13,6 @@ import pytest
 from ..test_cases.test_case import TestCase
 
 
-@pytest.fixture(autouse=True)
-def rate_limit_delay():
-    """Add delay between tests to avoid rate limiting from providers like Fireworks"""
-    yield
-    time.sleep(30)  # 30 second delay after each test
-
-
 def _normalize_text(text: str) -> str:
     """
     Normalize Unicode text by removing diacritical marks for comparison.

tests/integration/inference/test_openai_embeddings.py

@@ -6,7 +6,6 @@
 
 import base64
 import struct
-import time
 
 import pytest
 from openai import OpenAI
@@ -14,13 +13,6 @@ from openai import OpenAI
 from llama_stack.core.library_client import LlamaStackAsLibraryClient
 
 
-@pytest.fixture(autouse=True)
-def rate_limit_delay():
-    """Add delay between tests to avoid rate limiting from providers like Fireworks"""
-    yield
-    time.sleep(30)  # 30 second delay after each test
-
-
 def decode_base64_to_floats(base64_string: str) -> list[float]:
     """Helper function to decode base64 string to list of float32 values."""
     embedding_bytes = base64.b64decode(base64_string)

tests/integration/suites.py

@@ -115,7 +115,6 @@ SETUP_DEFINITIONS: dict[str, Setup] = {
             "text_model": "accounts/fireworks/models/llama-v3p1-8b-instruct",
             "vision_model": "accounts/fireworks/models/llama-v3p2-90b-vision-instruct",
             "embedding_model": "nomic-ai/nomic-embed-text-v1.5",
-            # "embedding_model": "accounts/fireworks/models/qwen3-embedding-8b",
         },
     ),
 }