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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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" + '
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Diff view
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Diff view
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,110 @@
interactions:
- request:
body: '{"max_tokens":128,"messages":[{"role":"user","content":"Return a JSON object
with answer=2 and label=\"ok\"."}],"model":"claude-haiku-4-5","output_config":{"format":{"type":"json_schema","schema":{"type":"object","properties":{"answer":{"type":"integer"},"label":{"type":"string"}},"required":["answer","label"],"additionalProperties":false}}}}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '344'
Content-Type:
- application/json
Host:
- api.anthropic.com
User-Agent:
- Anthropic/Python 0.84.0
X-Stainless-Arch:
- arm64
X-Stainless-Async:
- 'false'
X-Stainless-Lang:
- python
X-Stainless-OS:
- MacOS
X-Stainless-Package-Version:
- 0.84.0
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_01NTFSpgrJwP5QJXAfN7unNz","type":"message","role":"assistant","content":[{"type":"text","text":"{\"answer\":2,\"label\":\"ok\"}"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":183,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":12,"service_tier":"standard","inference_geo":"not_available"}}'
headers:
CF-RAY:
- 9e9a4ef71fa0ac9f-YYZ
Connection:
- keep-alive
Content-Security-Policy:
- default-src 'none'; frame-ancestors 'none'
Content-Type:
- application/json
Date:
- Thu, 09 Apr 2026 14:47:44 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:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-output-tokens-limit:
- '800000'
anthropic-ratelimit-output-tokens-remaining:
- '800000'
anthropic-ratelimit-output-tokens-reset:
- '2026-04-09T14:47:44Z'
anthropic-ratelimit-requests-limit:
- '20000'
anthropic-ratelimit-requests-remaining:
- '19999'
anthropic-ratelimit-requests-reset:
- '2026-04-09T14:47:42Z'
anthropic-ratelimit-tokens-limit:
- '4800000'
anthropic-ratelimit-tokens-remaining:
- '4800000'
anthropic-ratelimit-tokens-reset:
- '2026-04-09T14:47:44Z'
cf-cache-status:
- DYNAMIC
content-length:
- '489'
request-id:
- req_011CZtP23rjNiGgHoNNfnj19
server-timing:
- x-originResponse;dur=3015
set-cookie:
- _cfuvid=Xtp25DVpHeIv9LXJ.bhbiwy2F5SYgJhWmQTVVFnyFQc-1775746061.9335136-1.0.1.1-mZBT5kq5Nw9Z32eTRtm5Pd7JQcZE432fC59pw5mr5cI;
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:
- '3012'
status:
code: 200
message: OK
version: 1
101 changes: 100 additions & 1 deletion py/src/braintrust/integrations/anthropic/test_anthropic.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,8 @@
Tests to ensure we reliably wrap the Anthropic API.
"""

import inspect
import json
import time
import unittest.mock
from pathlib import Path
Expand All@@ -12,13 +14,27 @@
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 _get_input_from_kwargs, _log_message_to_span
from braintrust.integrations.anthropic.tracing import (
_get_input_from_kwargs,
_get_metadata_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"
STRUCTURED_OUTPUT_MODEL = "claude-haiku-4-5"
STRUCTURED_OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"answer": {"type": "integer"},
"label": {"type": "string"},
},
"required": ["answer", "label"],
"additionalProperties": False,
}
PNG_BASE64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8DwHwAFBQIAX8jx0gAAAABJRU5ErkJggg=="
PDF_BASE64 = "JVBERi0xLjAKMSAwIG9iago8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFI+PmVuZG9iagoyIDAgb2JqCjw8L1R5cGUvUGFnZXMvS2lkc1szIDAgUl0vQ291bnQgMT4+ZW5kb2JqCjMgMCBvYmoKPDwvVHlwZS9QYWdlL01lZGlhQm94WzAgMCA2MTIgNzkyXT4+ZW5kb2JqCnhyZWYKMCA0CjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAwMDAxMCAwMDAwMCBuDQowMDAwMDAwMDUzIDAwMDAwIG4NCjAwMDAwMDAxMDIgMDAwMDAgbg0KdHJhaWxlcgo8PC9TaXplIDQvUm9vdCAxIDAgUj4+CnN0YXJ0eHJlZgoxNDkKJUVPRg=="

Expand All@@ -36,6 +52,29 @@ def _get_async_client():
return anthropic.AsyncAnthropic()


def _get_supported_structured_output_param():
parameter_names = inspect.signature(_get_client().messages.create).parameters
if "output_config" in parameter_names:
return (
"output_config",
{
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
)
if "output_format" in parameter_names:
return (
"output_format",
{
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
)
pytest.skip("Installed anthropic SDK does not support structured outputs parameters")


@pytest.fixture
def memory_logger():
init_test_logger(PROJECT_NAME)
Expand DownExpand Up@@ -94,6 +133,39 @@ def test_get_input_from_kwargs_converts_multimodal_base64_blocks_to_attachments(
assert PDF_BASE64 not in serialized


def test_get_metadata_from_kwargs_includes_structured_output_params():
metadata = _get_metadata_from_kwargs(
{
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}
)

assert metadata == {
"provider": "anthropic",
"model": MODEL,
"output_config": {
"format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
}
},
"output_format": {
"type": "json_schema",
"schema": STRUCTURED_OUTPUT_SCHEMA,
},
}


def test_log_message_to_span_includes_stop_reason_and_stop_sequence():
span = unittest.mock.MagicMock()
message = SimpleNamespace(
Expand DownExpand Up@@ -333,6 +405,33 @@ def test_anthropic_messages_create_stream_true(memory_logger):
assert "12" in span["output"]["content"][0]["text"]


@pytest.mark.vcr
def test_anthropic_messages_create_tracks_structured_outputs_metadata(memory_logger):
assert not memory_logger.pop()

structured_output_param_name, structured_output_param_value = _get_supported_structured_output_param()
client = wrap_anthropic(_get_client())
response = client.messages.create(
model=STRUCTURED_OUTPUT_MODEL,
max_tokens=128,
messages=[
{
"role": "user",
"content": 'Return a JSON object with answer=2 and label="ok".',
}
],
**{structured_output_param_name: structured_output_param_value},
)

assert json.loads(response.content[0].text) == {"answer": 2, "label": "ok"}

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == STRUCTURED_OUTPUT_MODEL
assert span["metadata"][structured_output_param_name] == structured_output_param_value


@pytest.mark.vcr
def test_anthropic_messages_model_params_inputs(memory_logger):
assert not memory_logger.pop()
Expand Down
2 changes: 2 additions & 0 deletions py/src/braintrust/integrations/anthropic/tracing.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -38,6 +38,8 @@ def accumulate_event(event=None, current_snapshot=None, **kwargs):
"tools",
"stream",
"thinking",
"output_config",
"output_format",
)


Expand Down
Loading