fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Abhijeet Prasad (AbhiPrasad) merged 1 commit into from
Apr 7, 2026
Merged

fix(anthropic): move ephemeral cache creation fields to metadata #205

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 9 additions & 10 deletions py/src/braintrust/integrations/anthropic/_utils.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
return {}, {}

metrics: dict[str, float] = {}
metadata: dict[str, Any] = {}
for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
_set_numeric_metric(metrics, metric_name, usage.get(source_name))

cache_creation = _try_to_dict(usage.get("cache_creation"))
cache_creation_breakdown: list[float] = []
if cache_creation is not None:
for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
value = cache_creation.get(source_name)
_set_numeric_metric(metrics, metric_name, value)
if is_numeric(value):
metadata[metadata_key] = int(value)
cache_creation_breakdown.append(float(value))

server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
metrics["prompt_tokens"] = total_prompt_tokens
metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

metadata = {
f"usage_{name}": value
for name, value in usage.items()
if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
}
for name, value in usage.items():
if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
metadata[f"usage_{name}"] = value
return metrics, metadata
10 changes: 6 additions & 4 deletions py/src/braintrust/integrations/anthropic/test_anthropic.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
)
assert metrics["completion_tokens"] == usage.output_tokens
assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
assert metrics["completion_tokens"] == 12
assert metrics["tokens"] == 27
assert metrics["prompt_cache_creation_tokens"] == 7
assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
assert metrics["server_tool_use_web_search_requests"] == 2
assert metrics["server_tool_use_web_fetch_requests"] == 1
assert "service_tier" not in metrics
assert metadata == {
"cache_creation_ephemeral_5m_input_tokens": 3,
"cache_creation_ephemeral_1h_input_tokens": 4,
"usage_service_tier": "standard",
"usage_inference_geo": "not_available",
}
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" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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('^' + ".*" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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('^' + ".*" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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('^' + ".*" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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('^' + ".*" + '

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
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); }
})();
})();

Skip to content
fix(anthropic): move ephemeral cache creation fields to metadata#205

New issue

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

 Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

Abhijeet Prasad (AbhiPrasad)
merged 1 commit into

from

Apr 7, 2026
 Merged


fix(anthropic): move ephemeral cache creation fields to metadata
#205
Show file tree
Hide file tree
 Changes from all commits
Commits

Show all changes


1 commit


Select commit


File filter

Filter by extension
Filter by extension
Conversations

Failed to load comments. 
Loading
Jump to

Jump to file


Failed to load files. 
Loading
 Diff view

 Diff view


19 changes: 9 additions & 10 deletions
py/src/braintrust/integrations/anthropic/_utils.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -22,9 +22,9 @@ def __getattr__(self, name: str) -> Any:
 ("cache_creation_input_tokens", "prompt_cache_creation_tokens"),
)

_ANTHROPIC_CACHE_CREATION_METRIC_FIELDS = (
 ("ephemeral_5m_input_tokens", "prompt_cache_creation_ephemeral_5m_tokens"),
 ("ephemeral_1h_input_tokens", "prompt_cache_creation_ephemeral_1h_tokens"),
_ANTHROPIC_CACHE_CREATION_METADATA_FIELDS = (
 ("ephemeral_5m_input_tokens", "cache_creation_ephemeral_5m_input_tokens"),
 ("ephemeral_1h_input_tokens", "cache_creation_ephemeral_1h_input_tokens"),
)

_ANTHROPIC_USAGE_METADATA_FIELDS = frozenset(
Expand DownExpand Up@@ -76,16 +76,17 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 return {}, {}

 metrics: dict[str, float] = {}
 metadata: dict[str, Any] = {}
 for source_name, metric_name in _ANTHROPIC_USAGE_METRIC_FIELDS:
 _set_numeric_metric(metrics, metric_name, usage.get(source_name))

 cache_creation = _try_to_dict(usage.get("cache_creation"))
 cache_creation_breakdown: list[float] = []
 if cache_creation is not None:
 for source_name, metric_name in _ANTHROPIC_CACHE_CREATION_METRIC_FIELDS:
 for source_name, metadata_key in _ANTHROPIC_CACHE_CREATION_METADATA_FIELDS:
 value = cache_creation.get(source_name)
 _set_numeric_metric(metrics, metric_name, value)
 if is_numeric(value):
 metadata[metadata_key] = int(value)
 cache_creation_breakdown.append(float(value))

 server_tool_use = _try_to_dict(usage.get("server_tool_use"))
Expand All@@ -105,9 +106,7 @@ def extract_anthropic_usage(usage: Any) -> tuple[dict[str, float], dict[str, Any
 metrics["prompt_tokens"] = total_prompt_tokens
 metrics["tokens"] = total_prompt_tokens + metrics.get("completion_tokens", 0)

 metadata = {
 f"usage_{name}": value
 for name, value in usage.items()
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None
 }
 for name, value in usage.items():
 if name in _ANTHROPIC_USAGE_METADATA_FIELDS and value is not None:
 metadata[f"usage_{name}"] = value
 return metrics, metadata

10 changes: 6 additions & 4 deletions
py/src/braintrust/integrations/anthropic/test_anthropic.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -608,8 +608,8 @@ def test_setup_creates_spans(memory_logger):
 )
 assert metrics["completion_tokens"] == usage.output_tokens
 assert metrics["prompt_cache_creation_tokens"] == usage.cache_creation_input_tokens
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == ephemeral_5m
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == ephemeral_1h
 assert span["metadata"]["cache_creation_ephemeral_5m_input_tokens"] == ephemeral_5m
 assert span["metadata"]["cache_creation_ephemeral_1h_input_tokens"] == ephemeral_1h
 assert "service_tier" not in metrics


Expand All@@ -634,12 +634,14 @@ def test_extract_anthropic_usage_preserves_nested_numeric_fields():
 assert metrics["completion_tokens"] == 12
 assert metrics["tokens"] == 27
 assert metrics["prompt_cache_creation_tokens"] == 7
 assert metrics["prompt_cache_creation_ephemeral_5m_tokens"] == 3
 assert metrics["prompt_cache_creation_ephemeral_1h_tokens"] == 4
 assert metadata["cache_creation_ephemeral_5m_input_tokens"] == 3
 assert metadata["cache_creation_ephemeral_1h_input_tokens"] == 4
 assert metrics["server_tool_use_web_search_requests"] == 2
 assert metrics["server_tool_use_web_fetch_requests"] == 1
 assert "service_tier" not in metrics
 assert metadata == {
 "cache_creation_ephemeral_5m_input_tokens": 3,
 "cache_creation_ephemeral_1h_input_tokens": 4,
 "usage_service_tier": "standard",
 "usage_inference_geo": "not_available",
 }
Expand Down
Loading