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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,84 @@
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
Loading
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,84 @@
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,84 @@
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
def test_litellm_completion_with_system_prompt(memory_logger):
assert not memory_logger.pop()
Expand Down
Loading
Loading
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6 changes: 3 additions & 3 deletions py/src/braintrust/integrations/litellm/__init__.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,9 +8,9 @@ def patch_litellm() -> bool:
"""Patch LiteLLM to add Braintrust tracing.

This wraps litellm.completion, litellm.acompletion, litellm.responses,
litellm.aresponses, litellm.embedding, litellm.aembedding, and
litellm.moderation to automatically create Braintrust spans with
detailed token metrics,
litellm.aresponses, litellm.image_generation, litellm.aimage_generation,
litellm.embedding, litellm.aembedding, and litellm.moderation to
automatically create Braintrust spans with detailed token metrics,
timing, and costs.

Returns:
Expand Down
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,84 @@
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21 changes: 19 additions & 2 deletions py/src/braintrust/integrations/litellm/patchers.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,9 +7,11 @@
from .tracing import (
_acompletion_wrapper_async,
_aembedding_wrapper_async,
_aimage_generation_wrapper_async,
_aresponses_wrapper_async,
_completion_wrapper,
_embedding_wrapper,
_image_generation_wrapper,
_moderation_wrapper,
_responses_wrapper,
)
Expand DownExpand Up@@ -44,6 +46,18 @@ class LiteLLMAresponsesPatcher(FunctionWrapperPatcher):
wrapper = _aresponses_wrapper_async


class LiteLLMImageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.image_generation"
target_path = "image_generation"
wrapper = _image_generation_wrapper


class LiteLLMAimageGenerationPatcher(FunctionWrapperPatcher):
name = "litellm.aimage_generation"
target_path = "aimage_generation"
wrapper = _aimage_generation_wrapper_async


class LiteLLMEmbeddingPatcher(FunctionWrapperPatcher):
name = "litellm.embedding"
target_path = "embedding"
Expand DownExpand Up@@ -71,6 +85,8 @@ class LiteLLMModerationPatcher(FunctionWrapperPatcher):
LiteLLMAcompletionPatcher,
LiteLLMResponsesPatcher,
LiteLLMAresponsesPatcher,
LiteLLMImageGenerationPatcher,
LiteLLMAimageGenerationPatcher,
LiteLLMEmbeddingPatcher,
LiteLLMAembeddingPatcher,
LiteLLMModerationPatcher,
Expand All@@ -88,8 +104,9 @@ def wrap_litellm(litellm: Any) -> Any:
Unlike :func:`patch_litellm`, which patches the globally-imported ``litellm``
module, this function instruments a specific module object (or any object
that exposes the same top-level callables such as ``completion``,
``acompletion``, ``responses``, ``aresponses``, ``embedding``,
``aembedding``, and ``moderation``). Each patcher is applied
``acompletion``, ``responses``, ``aresponses``, ``image_generation``,
``aimage_generation``, ``embedding``, ``aembedding``, and ``moderation``).
Each patcher is applied
idempotently — calling
``wrap_litellm`` twice on the same object is safe.

Expand Down
59 changes: 59 additions & 0 deletions py/src/braintrust/integrations/litellm/test_litellm.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -274,6 +274,65 @@ def test_litellm_moderation(memory_logger):
assert "This is a test message" in str(span["input"])


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

prompt = "A tiny red square on a white background"

response = litellm.image_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


@pytest.mark.vcr
@pytest.mark.asyncio
async def test_litellm_aimage_generation(memory_logger):
assert not memory_logger.pop()

prompt = "A tiny blue square on a white background"

response = await litellm.aimage_generation(
model="dall-e-2",
prompt=prompt,
size="256x256",
response_format="url",
)

assert response
assert response.data
assert response.data[0].url

spans = memory_logger.pop()
assert len(spans) == 1
span = spans[0]
assert span["metadata"]["model"] == "dall-e-2"
assert span["metadata"]["provider"] == "litellm"
assert span["metadata"]["response_format"] == "url"
assert span["input"] == prompt
assert span["output"]["images_count"] == 1
assert span["output"]["images"][0]["image_url"]["url"].startswith("https://")
assert span["metrics"]["duration"] >= 0


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