fix(anthropic): convert multimodal base64 inputs to attachments#212

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Merged
Abhijeet Prasad (AbhiPrasad) merged 1 commit into from
Apr 8, 2026
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fix(anthropic): convert multimodal base64 inputs to attachments #212

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111 changes: 111 additions & 0 deletions ...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml
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interactions:
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body: '{"max_tokens":100,"messages":[{"role":"user","content":[{"type":"text","text":"What
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- '0'
x-stainless-timeout:
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method: POST
uri: https://api.anthropic.com/v1/messages
response:
body:
string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
is a PDF file (Portable Document Format). The page appears to be blank."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1592,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"not_available"}}'
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anthropic-organization-id:
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anthropic-ratelimit-input-tokens-limit:
- '4000000'
anthropic-ratelimit-input-tokens-remaining:
- '3999000'
anthropic-ratelimit-input-tokens-reset:
- '2026-04-07T15:05:52Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-07T15:05:52Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
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anthropic-ratelimit-requests-reset:
- '2026-04-07T15:05:51Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
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anthropic-ratelimit-tokens-reset:
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- max-age=31536000; includeSubDomains; preload
vary:
- Accept-Encoding
x-envoy-upstream-service-time:
- '1191'
status:
code: 200
message: OK
version: 1
108 changes: 108 additions & 0 deletions ...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml
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@@ -0,0 +1,108 @@
interactions:
- request:
body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
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uri: https://api.anthropic.com/v1/messages
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- '4000000'
anthropic-ratelimit-input-tokens-remaining:
- '4000000'
anthropic-ratelimit-input-tokens-reset:
- '2026-04-07T15:05:51Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-07T15:05:51Z'
anthropic-ratelimit-requests-limit:
- '20000'
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- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-07T15:05:50Z'
anthropic-ratelimit-tokens-limit:
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anthropic-ratelimit-tokens-remaining:
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142 changes: 140 additions & 2 deletions py/src/braintrust/integrations/anthropic/test_anthropic.py
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Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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fix(anthropic): convert multimodal base64 inputs to attachments#212

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

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Apr 8, 2026
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fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
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 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
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 X-Stainless-Async:
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 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
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 Connection:
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 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
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 Date:
 - Tue, 07 Apr 2026 15:05:52 GMT
 Server:
 - cloudflare
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 - chunked
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 - none
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 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
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 - '3999000'
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 server-timing:
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 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
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 Accept-Encoding:
 - gzip, deflate
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 Content-Length:
 - '344'
 Content-Type:
 - application/json
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 User-Agent:
 - Anthropic/Python 0.89.0
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 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
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 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
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 Content-Type:
 - application/json
 Date:
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 Server:
 - cloudflare
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 X-Robots-Tag:
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 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
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 request-id:
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 - max-age=31536000; includeSubDomains; preload
 x-envoy-upstream-service-time:
 - '801'
 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

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Open in desktop

Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
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fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
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 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
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 - Anthropic/Python 0.89.0
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 X-Stainless-Async:
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 - python
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 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
 is a PDF file (Portable Document Format). The page appears to be blank."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1592,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"not_available"}}'
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 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '3999000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4799000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:52Z'
 cf-cache-status:
 - DYNAMIC
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 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
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 - keep-alive
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 - '344'
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 - application/json
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 User-Agent:
 - Anthropic/Python 0.89.0
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 X-Stainless-Lang:
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 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
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 - 9e89eec9dba5c8b2-YYZ
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 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:51 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
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 - DYNAMIC
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 - '459'
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 set-cookie:
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 x-envoy-upstream-service-time:
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 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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fix(anthropic): convert multimodal base64 inputs to attachments#212

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
 Merged


fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
 is a PDF file (Portable Document Format). The page appears to be blank."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1592,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eed099110c69-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:52 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '3999000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4799000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:52Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '535'
 request-id:
 - req_011CZpcnXpTrWv6YtAEAxi9V
 server-timing:
 - x-originResponse;dur=1194
 set-cookie:
 - _cfuvid=OIa8v6K5xzgZU5vxp6apG5OTG.ycj_DwuURu3lEhtVo-1775574351.4530668-1.0.1.1-pTxxzXia1UzBV0kg2RwIM1XIlwK260mEXZ39yjst2Vo;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '344'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eec9dba5c8b2-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:51 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '459'
 request-id:
 - req_011CZpcnTEdYbCJrdqVsmUTk
 server-timing:
 - x-originResponse;dur=807
 set-cookie:
 - _cfuvid=aM3IKwdh7J1pTRjhcFYcFw44WIUE55Z6.rwHtG.B_Eo-1775574350.372165-1.0.1.1-HS8MHjk_TcIDF7OtwW8yVpwl.ZHq7ahuKjYVZcaqYzc;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 x-envoy-upstream-service-time:
 - '801'
 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
fix(anthropic): convert multimodal base64 inputs to attachments#212

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
 Merged


fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

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Original file line numberDiff line numberDiff line change
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interactions:
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 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

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interactions:
- request:
 body: '{"max_tokens":100,"messages":[{"role":"user","content":[{"type":"text","text":"Respond
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 uri: https://api.anthropic.com/v1/messages
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 - '800000'
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 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
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 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
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142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

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Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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fix(anthropic): convert multimodal base64 inputs to attachments#212

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
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fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
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 anthropic-version:
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 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
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 headers:
 CF-RAY:
 - 9e89eed099110c69-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:52 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
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 - none
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 - 27796668-7351-40ac-acc4-024aee8995a5
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 anthropic-ratelimit-input-tokens-remaining:
 - '3999000'
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 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4799000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:52Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '535'
 request-id:
 - req_011CZpcnXpTrWv6YtAEAxi9V
 server-timing:
 - x-originResponse;dur=1194
 set-cookie:
 - _cfuvid=OIa8v6K5xzgZU5vxp6apG5OTG.ycj_DwuURu3lEhtVo-1775574351.4530668-1.0.1.1-pTxxzXia1UzBV0kg2RwIM1XIlwK260mEXZ39yjst2Vo;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '344'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
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 - MacOS
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 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eec9dba5c8b2-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:51 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '459'
 request-id:
 - req_011CZpcnTEdYbCJrdqVsmUTk
 server-timing:
 - x-originResponse;dur=807
 set-cookie:
 - _cfuvid=aM3IKwdh7J1pTRjhcFYcFw44WIUE55Z6.rwHtG.B_Eo-1775574350.372165-1.0.1.1-HS8MHjk_TcIDF7OtwW8yVpwl.ZHq7ahuKjYVZcaqYzc;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 x-envoy-upstream-service-time:
 - '801'
 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
 Merged


fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
 is a PDF file (Portable Document Format). The page appears to be blank."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1592,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eed099110c69-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:52 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '3999000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4799000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:52Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '535'
 request-id:
 - req_011CZpcnXpTrWv6YtAEAxi9V
 server-timing:
 - x-originResponse;dur=1194
 set-cookie:
 - _cfuvid=OIa8v6K5xzgZU5vxp6apG5OTG.ycj_DwuURu3lEhtVo-1775574351.4530668-1.0.1.1-pTxxzXia1UzBV0kg2RwIM1XIlwK260mEXZ39yjst2Vo;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '344'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eec9dba5c8b2-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:51 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '459'
 request-id:
 - req_011CZpcnTEdYbCJrdqVsmUTk
 server-timing:
 - x-originResponse;dur=807
 set-cookie:
 - _cfuvid=aM3IKwdh7J1pTRjhcFYcFw44WIUE55Z6.rwHtG.B_Eo-1775574350.372165-1.0.1.1-HS8MHjk_TcIDF7OtwW8yVpwl.ZHq7ahuKjYVZcaqYzc;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 x-envoy-upstream-service-time:
 - '801'
 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff 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 DownExpand 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
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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fix(anthropic): convert multimodal base64 inputs to attachments#212

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 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 8, 2026
 Merged


fix(anthropic): convert multimodal base64 inputs to attachments
#212
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111 changes: 111 additions & 0 deletions
...ns/anthropic/cassettes/test_anthropic_messages_create_with_document_attachment_input.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,111 @@
interactions:
- request:
 body: '{"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":"JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '650'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_015cmxXq7gq4maczpwuGirpC","type":"message","role":"assistant","content":[{"type":"text","text":"This
 is a PDF file (Portable Document Format). The page appears to be blank."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1592,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eed099110c69-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:52 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '3999000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:52Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4799000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:52Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '535'
 request-id:
 - req_011CZpcnXpTrWv6YtAEAxi9V
 server-timing:
 - x-originResponse;dur=1194
 set-cookie:
 - _cfuvid=OIa8v6K5xzgZU5vxp6apG5OTG.ycj_DwuURu3lEhtVo-1775574351.4530668-1.0.1.1-pTxxzXia1UzBV0kg2RwIM1XIlwK260mEXZ39yjst2Vo;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 vary:
 - Accept-Encoding
 x-envoy-upstream-service-time:
 - '1191'
 status:
 code: 200
 message: OK
version: 1

108 changes: 108 additions & 0 deletions
...tions/anthropic/cassettes/test_anthropic_messages_create_with_image_attachment_input.yaml

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,108 @@
interactions:
- request:
 body: '{"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":"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="}}]}],"model":"claude-haiku-4-5-20251001"}'
 headers:
 Accept:
 - application/json
 Accept-Encoding:
 - gzip, deflate
 Connection:
 - keep-alive
 Content-Length:
 - '344'
 Content-Type:
 - application/json
 Host:
 - api.anthropic.com
 User-Agent:
 - Anthropic/Python 0.89.0
 X-Stainless-Arch:
 - arm64
 X-Stainless-Async:
 - 'false'
 X-Stainless-Lang:
 - python
 X-Stainless-OS:
 - MacOS
 X-Stainless-Package-Version:
 - 0.89.0
 X-Stainless-Runtime:
 - CPython
 X-Stainless-Runtime-Version:
 - 3.13.3
 anthropic-version:
 - '2023-06-01'
 x-stainless-read-timeout:
 - '600'
 x-stainless-retry-count:
 - '0'
 x-stainless-timeout:
 - '600'
 method: POST
 uri: https://api.anthropic.com/v1/messages
 response:
 body:
 string: '{"model":"claude-haiku-4-5-20251001","id":"msg_01SSWMsitHe4sz9FkCendotc","type":"message","role":"assistant","content":[{"type":"text","text":"Red"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":23,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}}'
 headers:
 CF-RAY:
 - 9e89eec9dba5c8b2-YYZ
 Connection:
 - keep-alive
 Content-Security-Policy:
 - default-src 'none'; frame-ancestors 'none'
 Content-Type:
 - application/json
 Date:
 - Tue, 07 Apr 2026 15:05:51 GMT
 Server:
 - cloudflare
 Transfer-Encoding:
 - chunked
 X-Robots-Tag:
 - none
 anthropic-organization-id:
 - 27796668-7351-40ac-acc4-024aee8995a5
 anthropic-ratelimit-input-tokens-limit:
 - '4000000'
 anthropic-ratelimit-input-tokens-remaining:
 - '4000000'
 anthropic-ratelimit-input-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-output-tokens-limit:
 - '800000'
 anthropic-ratelimit-output-tokens-remaining:
 - '800000'
 anthropic-ratelimit-output-tokens-reset:
 - '2026-04-07T15:05:51Z'
 anthropic-ratelimit-requests-limit:
 - '20000'
 anthropic-ratelimit-requests-remaining:
 - '19999'
 anthropic-ratelimit-requests-reset:
 - '2026-04-07T15:05:50Z'
 anthropic-ratelimit-tokens-limit:
 - '4800000'
 anthropic-ratelimit-tokens-remaining:
 - '4800000'
 anthropic-ratelimit-tokens-reset:
 - '2026-04-07T15:05:51Z'
 cf-cache-status:
 - DYNAMIC
 content-length:
 - '459'
 request-id:
 - req_011CZpcnTEdYbCJrdqVsmUTk
 server-timing:
 - x-originResponse;dur=807
 set-cookie:
 - _cfuvid=aM3IKwdh7J1pTRjhcFYcFw44WIUE55Z6.rwHtG.B_Eo-1775574350.372165-1.0.1.1-HS8MHjk_TcIDF7OtwW8yVpwl.ZHq7ahuKjYVZcaqYzc;
 HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com
 strict-transport-security:
 - max-age=31536000; includeSubDomains; preload
 x-envoy-upstream-service-time:
 - '801'
 status:
 code: 200
 message: OK
version: 1

142 changes: 140 additions & 2 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

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Original file line numberDiff line numberDiff 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 DownExpand 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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