# What is this? ## This tests the `get_optional_params_embeddings` function import sys, os import traceback from dotenv import load_dotenv load_dotenv() import os, io sys.path.insert( 0, os.path.abspath("../..") ) # Adds the parent directory to the system path import pytest import litellm from litellm import embedding from litellm.utils import get_optional_params_embeddings, get_llm_provider def test_vertex_projects(): litellm.drop_params = True model, custom_llm_provider, _, _ = get_llm_provider( model="vertex_ai/textembedding-gecko" ) optional_params = get_optional_params_embeddings( model=model, user="test-litellm-user-5", dimensions=None, encoding_format="base64", custom_llm_provider=custom_llm_provider, **{ "vertex_ai_project": "my-test-project", "vertex_ai_location": "us-east-1", }, ) print(f"received optional_params: {optional_params}") assert "vertex_ai_project" in optional_params assert "vertex_ai_location" in optional_params # test_vertex_projects() def test_bedrock_embed_v2_regular(): model, custom_llm_provider, _, _ = get_llm_provider( model="bedrock/amazon.titan-embed-text-v2:0" ) optional_params = get_optional_params_embeddings( model=model, dimensions=512, custom_llm_provider=custom_llm_provider, ) print(f"received optional_params: {optional_params}") assert optional_params == {"dimensions": 512} def test_bedrock_embed_v2_with_drop_params(): litellm.drop_params = True model, custom_llm_provider, _, _ = get_llm_provider( model="bedrock/amazon.titan-embed-text-v2:0" ) optional_params = get_optional_params_embeddings( model=model, dimensions=512, user="test-litellm-user-5", encoding_format="base64", custom_llm_provider=custom_llm_provider, ) print(f"received optional_params: {optional_params}") assert optional_params == {"dimensions": 512}