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Original file line number Diff line number Diff line change
@@ -0,0 +1,111 @@
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Original file line number Diff line number Diff line change
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142 changes: 140 additions & 2 deletions py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,15 +9,18 @@

import anthropic
import pytest
from braintrust import logger
from braintrust import Attachment, logger
from braintrust.integrations.anthropic import AnthropicIntegration, wrap_anthropic
from braintrust.integrations.anthropic._utils import extract_anthropic_usage
from braintrust.integrations.anthropic.tracing import _log_message_to_span
from braintrust.integrations.anthropic.tracing import _get_input_from_kwargs, _log_message_to_span
from braintrust.test_helpers import init_test_logger


PROJECT_NAME = "test-anthropic-app"
MODEL = "claude-3-haiku-20240307" # use the cheapest model since answers dont matter
MULTIMODAL_MODEL = "claude-haiku-4-5-20251001"
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="


@pytest.fixture(scope="module")
Expand All @@ -40,6 +43,57 @@ def memory_logger():
yield bgl


def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments():
kwargs = {
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Describe these files."},
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": PNG_BASE64,
},
},
{
"type": "document",
"source": {
"type": "base64",
"media_type": "application/pdf",
"data": PDF_BASE64,
},
},
],
}
]
}

processed_input = _get_input_from_kwargs(kwargs)

content = processed_input[0]["content"]
image_block = content[1]
document_block = content[2]

assert image_block["type"] == "image"
assert image_block["source"] == {"type": "base64", "media_type": "image/png"}
assert isinstance(image_block["image_url"]["url"], Attachment)
assert image_block["image_url"]["url"].reference["content_type"] == "image/png"
assert image_block["image_url"]["url"].reference["filename"] == "image.png"

assert document_block["type"] == "document"
assert document_block["source"] == {"type": "base64", "media_type": "application/pdf"}
assert isinstance(document_block["image_url"]["url"], Attachment)
assert document_block["image_url"]["url"].reference["content_type"] == "application/pdf"
assert document_block["image_url"]["url"].reference["filename"] == "document.pdf"

serialized = str(processed_input)
assert PNG_BASE64 not in serialized
assert PDF_BASE64 not in serialized


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand Down Expand Up @@ -112,6 +166,90 @@ def test_extract_anthropic_usage_includes_server_tool_use_metrics_from_objects()
assert metadata == {}


@pytest.mark.vcr(match_on=["method", "scheme", "host", "port", "path"])
def test_anthropic_messages_create_with_image_attachment_input(memory_logger):
assert not memory_logger.pop()

client = wrap_anthropic(_get_client())
response = client.messages.create(
model=MULTIMODAL_MODEL,
max_tokens=100,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "Respond with one word: what color is this image?"},
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": PNG_BASE64,
},
},
],
}
],
)

assert response.content[0].text

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
content = span["input"][0]["content"]
image_block = content[1]

assert image_block["type"] == "image"
assert image_block["source"] == {"type": "base64", "media_type": "image/png"}
assert isinstance(image_block["image_url"]["url"], Attachment)
assert image_block["image_url"]["url"].reference["content_type"] == "image/png"
assert image_block["image_url"]["url"].reference["filename"] == "image.png"
assert PNG_BASE64 not in str(span["input"])


@pytest.mark.vcr(match_on=["method", "scheme", "host", "port", "path"])
def test_anthropic_messages_create_with_document_attachment_input(memory_logger):
assert not memory_logger.pop()

client = wrap_anthropic(_get_client())
response = client.messages.create(
model=MULTIMODAL_MODEL,
max_tokens=100,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What kind of file is this? Keep the answer short."},
{
"type": "document",
"source": {
"type": "base64",
"media_type": "application/pdf",
"data": PDF_BASE64,
},
},
],
}
],
)

assert response.content[0].text

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
content = span["input"][0]["content"]
document_block = content[1]

assert document_block["type"] == "document"
assert document_block["source"] == {"type": "base64", "media_type": "application/pdf"}
assert isinstance(document_block["image_url"]["url"], Attachment)
assert document_block["image_url"]["url"].reference["content_type"] == "application/pdf"
assert document_block["image_url"]["url"].reference["filename"] == "document.pdf"
assert PDF_BASE64 not in str(span["input"])


@pytest.mark.vcr
def test_anthropic_messages_create_stream_true(memory_logger):
assert not memory_logger.pop()
Expand Down
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