tests/llm_translation/test_bedrock_embedding.py

import json
import os
import sys
from datetime import datetime
from unittest.mock import AsyncMock, Mock, patch
import pytest
import base64
import httpx

sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path

import litellm
from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler

titan_embedding_response = {
        "embedding": [0.1, 0.2, 0.3],
        "inputTextTokenCount": 10
}

cohere_embedding_response = {
    "embeddings": [[0.1, 0.2, 0.3]],
    "inputTextTokenCount": 10
}

img_base_64 = "data:image/png;base64,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"

@pytest.mark.parametrize(
    "model,input_type,embed_response",
    [
        ("bedrock/amazon.titan-embed-text-v1", "text", titan_embedding_response),  # V1 text model
        ("bedrock/amazon.titan-embed-text-v2:0", "text", titan_embedding_response),  # V2 text model
        ("bedrock/amazon.titan-embed-image-v1", "image", titan_embedding_response),  # Image model
        ("bedrock/cohere.embed-english-v3", "text", cohere_embedding_response),  # Cohere English
        ("bedrock/cohere.embed-multilingual-v3", "text", cohere_embedding_response),  # Cohere Multilingual
    ],
)
def test_bedrock_embedding_models(model, input_type, embed_response):
    """Test embedding functionality for all Bedrock models with different input types"""
    litellm.set_verbose = True
    client = HTTPHandler()

    with patch.object(client, "post") as mock_post:
        mock_response = Mock()
        mock_response.status_code = 200
        mock_response.text = json.dumps(embed_response)
        mock_response.json = lambda: json.loads(mock_response.text)
        mock_post.return_value = mock_response

        # Prepare input based on type
        input_data = img_base_64 if input_type == "image" else "Hello world from litellm"

        try:
            response = litellm.embedding(
                model=model,
                input=input_data,
                client=client,
                aws_region_name="us-west-2",
                aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-west-2.amazonaws.com",
            )

            # Verify response structure
            assert isinstance(response, litellm.EmbeddingResponse)
            print(response.data)
            assert isinstance(response.data[0]['embedding'], list)
            assert len(response.data[0]['embedding']) == 3  # Based on mock response

            # Fetch request body
            request_data = json.loads(mock_post.call_args.kwargs["data"])

            # Verify AWS params are not in request body
            aws_params = ["aws_region_name", "aws_bedrock_runtime_endpoint"]
            for param in aws_params:
                assert param not in request_data, f"AWS param {param} should not be in request body"

        except Exception as e:
            pytest.fail(f"Error occurred: {e}")