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berriai-litellm-16672-16708

BerriAI/litellmcleancompositemerged 2025-11-15MITfix: 1 file, +6 −83 fail-to-pass · 29 pass-to-pass

Results

Model	solved / attempts	median steps	median cost	attempts
GPT-5.6 Luna	6/6	12	$0.008	1✓ 2✓ 3✓ 4✓ 5✓ 6✓
DeepSeek V4 Flash	2/2	34	$0.017	1✓ 2✓
GLM-5.3 Flash	5/5	14	$0.003	1✓ 2✓ 3✓ 4✓ 5✓

The prompt the agent sees

OpenAI video content downloads are broken in both synchronous and asynchronous usage.

The content request must be a GET with no extra parameters. `OpenAIVideoConfig.transform_video_content_request` (litellm/llms/openai/videos/transformation.py) currently returns a `video_id` query parameter alongside the URL, which makes the caller issue a POST to `/v1/videos/{video_id}/content`; OpenAI answers with an `invalid_request_error` whose JSON body can then be written out as if it were the `.mp4`. Called as `transform_video_content_request(video_id="video_123", api_base="https://api.openai.com/v1/videos", litellm_params={}, headers={})` it must return the URL `https://api.openai.com/v1/videos/video_123/content` together with an empty mapping, i.e. `params == {}`. With that empty mapping the HTTP layer already takes its GET path, so `BaseLLMHTTPHandler().video_content_handler(video_id="video_abc", video_content_provider_config=OpenAIVideoConfig(), custom_llm_provider="openai", litellm_params={"api_base": "https://api.openai.com/v1"}, logging_obj=...)` must call the httpx client's `get` exactly once with `url="https://api.openai.com/v1/videos/video_abc/content"`, must never call `post`, and must return the response's raw `content` bytes unchanged.

The config must expose async content handling at runtime. An asynchronous OpenAI video content download currently raises `AttributeError` because `OpenAIVideoConfig` has no `async_transform_video_content_response` when the module is actually imported: its base class is only resolved under `TYPE_CHECKING`, so at runtime the class inherits nothing that provides it. `OpenAIVideoConfig` must be a genuine subclass of `BaseVideoConfig` (litellm.llms.base_llm.videos.transformation) at import time, so that for `cfg = OpenAIVideoConfig()`, `callable(getattr(cfg, "async_transform_video_content_response", None))` is true and an async download returns the video content instead of failing.

Hidden tests · 3 fail-to-pass, 29 pass-to-passrun after the agent submits, in a clean verifier

test_openai_transform_video_content_request_empty_paramstest_openai_video_config_has_async_transformtest_video_content_handler_uses_get_for_openai

Test patch · 69 lines

diff --git a/tests/test_litellm/test_video_generation.py b/tests/test_litellm/test_video_generation.py
index b11e38b32..4c8e166f1 100644
--- a/tests/test_litellm/test_video_generation.py
+++ b/tests/test_litellm/test_video_generation.py
@@ -14,6 +14,7 @@ import litellm
 from litellm.types.videos.main import VideoObject, VideoResponse
 from litellm.videos.main import video_generation, avideo_generation, video_status, avideo_status
 from litellm.llms.openai.videos.transformation import OpenAIVideoConfig
+from litellm.llms.custom_httpx.llm_http_handler import BaseLLMHTTPHandler
 from litellm.cost_calculator import default_video_cost_calculator
 from litellm.litellm_core_utils.litellm_logging import Logging as LitellmLogging
 from litellm.integrations.custom_logger import CustomLogger
@@ -713,5 +714,56 @@ class TestVideoLogging:
             # The important thing is that the logging payload is created and recognized
 
 
+def test_openai_transform_video_content_request_empty_params():
+    """OpenAI content transform should return empty params to ensure GET is used."""
+    config = OpenAIVideoConfig()
+    url, params = config.transform_video_content_request(
+        video_id="video_123",
+        api_base="https://api.openai.com/v1/videos",
+        litellm_params={},
+        headers={},
+    )
+
+    assert url == "https://api.openai.com/v1/videos/video_123/content"
+    assert params == {}
+
+
+def test_video_content_handler_uses_get_for_openai():
+    """HTTP handler must use GET (not POST) for OpenAI content download."""
+    handler = BaseLLMHTTPHandler()
+    config = OpenAIVideoConfig()
+
+    mock_client = MagicMock()
+    mock_response = MagicMock()
+    mock_response.content = b"mp4-bytes"
+    mock_client.get.return_value = mock_response
+
+    with patch(
+        "litellm.llms.custom_httpx.llm_http_handler._get_httpx_client",
+        return_value=mock_client,
+    ):
+        result = handler.video_content_handler(
+            video_id="video_abc",
+            video_content_provider_config=config,
+            custom_llm_provider="openai",
+            litellm_params={"api_base": "https://api.openai.com/v1"},
+            logging_obj=MagicMock(),
+            timeout=5.0,
+            api_key="sk-test",
+            _is_async=False,
+        )
+
+    assert result == b"mp4-bytes"
+    mock_client.get.assert_called_once()
+    assert not mock_client.post.called
+    called_url = mock_client.get.call_args.kwargs["url"]
+    assert called_url == "https://api.openai.com/v1/videos/video_abc/content"
+
+
+def test_openai_video_config_has_async_transform():
+    """Ensure OpenAIVideoConfig exposes async_transform_video_content_response at runtime."""
+    cfg = OpenAIVideoConfig()
+    assert callable(getattr(cfg, "async_transform_video_content_response", None))
+
 if __name__ == "__main__":
     pytest.main([__file__])

Reference fix · 1 file, +6 −8the upstream merge, used only for grading calibration

The agent could not see this: the repository holds one commit and the sandbox has no network. Leak audit.

litellm/llms/openai/videos/transformation.py

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477f32de..8f5d41fe4678 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -178,10 +178,10 @@ def transform_video_content_request(
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
-        
-        return url, params
+        # No additional data needed for GET content request
+        data: Dict[str, Any] = {}
+
+        return url, data
 
     def transform_video_remix_request(
         self,
@@ -404,4 +404,4 @@ def _add_image_to_files(
         if isinstance(image, BufferedReader):
             files_list.append((field_name, (image.name, image, image_content_type)))
         else:
-            files_list.append((field_name, ("input_reference.png", image, image_content_type)))
\ No newline at end of file
+            files_list.append((field_name, ("input_reference.png", image, image_content_type)))
diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 8f5d41fe4678..d1d3fc2919ee 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -4,6 +4,7 @@
 import httpx
 from httpx._types import RequestFiles
 
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 from litellm.types.videos.main import VideoCreateOptionalRequestParams
 from litellm.types.llms.openai import CreateVideoRequest
 from litellm.types.router import GenericLiteLLMParams
@@ -15,15 +16,12 @@
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLoggingObj
-    BaseVideoConfig = _BaseVideoConfig
     BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any

What each model did

Submitted diff first, then every command. Outputs show 12 lines; expand for the rest.

GLM-5.3 Flash · attempt 2 · solved · 14 steps · $0.003

Submitted diff · 35 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..bf1b172 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -11,19 +11,17 @@ from litellm.secret_managers.main import get_secret_str
 from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLoggingObj
-    BaseVideoConfig = _BaseVideoConfig
     BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any
 
 
@@ -178,8 +176,8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a plain GET with no query parameters
+        params: Dict = {}
         
         return url, params

step 1

$ cd /repo && sed -n 1,200p litellm/llms/openai/videos/transformation.py && grep -n "video_content_handler\|transform_video_content_request\|async_transform_video_content_response" -r litellm/llms/base_llm/videos/transformation.py litellm/llms/custom_httpx/http_handler.py litellm/core.py 2>/dev/null | head -30

output · 29 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

17 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
    from ...base_llm.chat.transformation imp
…[5361 chars omitted]…
 ) -> Tuple[str, Dict]:
        """
        Transform the video remix request for OpenAI API.
        
        OpenAI API expects the following request:
        - POST /v1/videos/{video_id}/remix
        """
litellm/llms/base_llm/videos/transformation.py:114:    def transform_video_content_request(
litellm/llms/base_llm/videos/transformation.py:137:    async def async_transform_video_content_response(

step 2

$ cd /repo && sed -n 100,160p litellm/llms/base_llm/videos/transformation.py && grep -rn "video_content_handler" litellm --include=*.py | head

output · 41 lines

pass

    @abstractmethod
    def transform_video_create_response(
        self,
        model: str,
        raw_response: httpx.Response,
        logging_obj: LiteLLMLoggingObj,
        custom_llm_provider: Optional[str] = None,
        request_data: Optional[Dict] = None,
    ) -> VideoObject:
        pass

29 more lines

    @abstractmethod
    def transform_video_content_request(
        self,
        video_id: str,
        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
    ) -> Tuple[str, Dict]:
        """
        Transform the video content request into a URL and data/params
        
        Returns:
            Tuple[str, Dict]: (url, params) for the video content request
        """
        pass

    @abstractmethod
    def transform_video_content_response(
        self,
        raw_response: httpx.Response,
        logging_obj: LiteLLMLoggingObj
…[855 chars omitted]…
   logging_obj=logging_obj,
        )
litellm/llms/custom_httpx/llm_http_handler.py:4265:    def video_content_handler(
litellm/llms/custom_httpx/llm_http_handler.py:4282:            return self.async_video_content_handler(
litellm/llms/custom_httpx/llm_http_handler.py:4353:    async def async_video_content_handler(
litellm/videos/main.py:360:        return base_llm_http_handler.video_content_handler(

step 3

$ cd /repo && sed -n 4260,4440p litellm/llms/custom_httpx/llm_http_handler.py

output · 39 lines

custom_llm_provider=custom_llm_provider,
            request_data=data,
        )

    ###### VIDEO CONTENT HANDLER ######
    def video_content_handler(
        self,
        video_id: str,
        video_content_provider_config: BaseVideoConfig,
        custom_llm_provider: str,
        litellm_params: GenericLiteLLMParams,
        logging_obj: LiteLLMLoggingObj,

27 more lines

        timeout: Union[float, httpx.Timeout],
        extra_headers: Optional[Dict[str, Any]] = None,
        api_key: Optional[str] = None,
        client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
        _is_async: bool = False,
    ) -> Union[bytes, Coroutine[Any, Any, bytes]]:
        """
        Handle video content download requests.
        """
        if _is_async:
            return self.async_video_content_handler(
                video_id=video_id,
                video_content_provider_c
…[5070 chars omitted]…
_handler(
        self,
        video_id: str,
        prompt: str,
        video_remix_provider_config: BaseVideoConfig,
        custom_llm_provider: str,
        litellm_params,
        logging_obj,
        extra_headers: Optional[Dict[str, Any]] = None,
        extra_body: Optional[Dict[str, Any]] = None,
        timeout: Optional[float] = None,
        _is_async: bool = False,
        client=None,

step 4

$ cd /repo && sed -n 1,30p litellm/llms/base_llm/videos/transformation.py && grep -n "transform_video_content_response" litellm/llms/openai/videos/transformation.py

output · 31 lines

import types
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union

import httpx
from httpx._types import RequestFiles

from litellm.types.responses.main import *
from litellm.types.router import GenericLiteLLMParams
from litellm.types.videos.main import VideoCreateOptionalRequestParams

if TYPE_CHECKING:

19 more lines

    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
    from litellm.types.videos.main import VideoObject as _VideoObject

    from ..chat.transformation import BaseLLMException as _BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
    BaseLLMException = _BaseLLMException
    VideoObject = _VideoObject
else:
    LiteLLMLoggingObj = Any
    BaseLLMException = Any
    VideoObject = Any


class BaseVideoConfig(ABC):
    def __init__(self):
        pass

215:    def transform_video_content_response(

step 5

$ cd /repo && python - <<'PY'

output · 2 lines

True True
('https://api.openai.com/v1/videos/video_123/content', {})

step 6

$ cd /repo && python - <<'PY'

output · 22 lines

Traceback (most recent call last):
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
    yield
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 250, in handle_request
    resp = self._pool.handle_request(req)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request
    raise exc from None
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request
    response = connection.handle_request(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 101, in handle_request

10 more lines

    raise exc
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 78, in h
…[3126 chars omitted]…
^^
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 3569, in _handle_error
    raise provider_config.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 387, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: [Errno -3] Temporary failure in name resolution

step 7

$ cd /repo && python - <<'PY'

output · 1 lines

b'MP4BYTES' 1 https://api.openai.com/v1/videos/video_abc/content 0

step 8

$ cd /repo && ls tests/ | grep -i video; python -m pytest tests/llms/openai -x -q -k video 2>/dev/null | tail -3

output · 1 lines

no tests ran in 0.01s

step 9

$ cd /repo && grep -rln "video_content\|OpenAIVideoConfig" tests | head

output · 7 lines

tests/router_unit_tests/test_router_endpoints.py
tests/test_litellm/llms/azure/test_azure_common_utils.py
tests/test_litellm/llms/azure/videos/test_azure_video_transformation.py
tests/test_litellm/llms/gemini/videos/test_gemini_video_transformation.py
tests/test_litellm/llms/runwayml/videos/test_runway_video_transformation.py
tests/test_litellm/llms/vertex_ai/videos/test_vertex_video_transformation.py
tests/test_litellm/test_video_generation.py

step 10

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py -q 2>&1 | tail -5

output · 5 lines

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
29 passed, 1 warning in 1.70s
/repo/litellm/llms/custom_httpx/async_client_cleanup.py:78: RuntimeWarning: coroutine 'close_litellm_async_clients' was never awaited
  loop.close()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

step 11

$ cd /repo && python - <<'PY'

output · 28 lines

Traceback (most recent call last):
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 4410, in async_video_content_handler
    response = await async_httpx_client.get(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: object MagicMock can't be used in 'await' expression

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 16, in <module>
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 195, in run
    return runner.run(main)

16 more lines

           ^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "<stdin>", lin
…[288 chars omitted]…
onfig.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 387, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: object MagicMock can't be used in 'await' expression
 litellm/llms/openai/videos/transformation.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

step 12

$ cd /repo && python - <<'PY'

output · 1 lines

b'MP4BYTES'

step 13

$ cd /repo && git diff

output · 26 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..bf1b172 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -11,19 +11,17 @@ from litellm.secret_managers.main import get_secret_str
 from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

14 more lines

 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as
…[257 chars omitted]…
8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a plain GET with no query parameters
+        params: Dict = {}
         
         return url, params

step 14

Both fixes verified: empty params → GET path, runtime `BaseVideoConfig` subclass with inherited async handler, and existing video tests pass.

$ done: {"notes": "Fixed OpenAIVideoConfig: transform_video_content_request now returns empty params (GET to /v1/videos/{id}/content), and BaseVideoConfig is imported at runtime so async_transform_video_content_response is available. Verified sync/async handlers issue GET and return raw bytes; existing video tests pass."}

output · 1 lines

submitted.

GLM-5.3 Flash · attempt 3 · solved · 14 steps · $0.004

Submitted diff · 34 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..d9b3a3f 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -12,18 +12,16 @@ from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLoggingObj
-    BaseVideoConfig = _BaseVideoConfig
     BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any
 
 
@@ -178,8 +176,8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a GET with no extra query parameters
+        params: Dict = {}
         
         return url, params

step 1

$ sed -n 1,200p /repo/litellm/llms/openai/videos/transformation.py

output · 34 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

22 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
    from ...base_llm.chat.transformation imp
…[5164 chars omitted]…
elf,
        video_id: str,
        prompt: str,
        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
        extra_body: Optional[Dict[str, Any]] = None,
    ) -> Tuple[str, Dict]:
        """
        Transform the video remix request for OpenAI API.
        
        OpenAI API expects the following request:
        - POST /v1/videos/{video_id}/remix
        """

step 2

$ grep -n "async_transform_video_content_response\|def transform_video_content_response\|class BaseVideoConfig" /repo/litellm/llms/base_llm/videos/transformation.py; sed -n 200,320p /repo/litellm/llms/openai/videos/transformation.py

output · 44 lines

27:class BaseVideoConfig(ABC):
130:    def transform_video_content_response(
137:    async def async_transform_video_content_response(
        """
        original_video_id = extract_original_video_id(video_id)
        
        # Construct the URL for video remix
        url = f"{api_base.rstrip('/')}/{original_video_id}/remix"
        
        # Prepare the request data
        data = {"prompt": prompt}

32 more lines

        # Add any extra body parameters
        if extra_body:
            data.update(extra_body)
        
        return url, data
    
    def transform_video_content_response(
        self,
        raw_response: httpx.Response,
        logging_obj: LiteLLMLoggingObj,
    ) -> bytes:
        """Transform the OpenAI video content download response."""
        return raw_response.content

    def transform_video_remix_response(
        self,
        raw_response: httpx.Respo
…[2803 chars omitted]…
st(
        self,
        video_id: str,
        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
    ) -> Tuple[str, Dict]:
        """
        Transform the video delete request for OpenAI API.
        
        OpenAI API expects the following request:
        - DELETE /v1/videos/{video_id}
        """
        original_video_id = extract_original_video_id(video_id)

step 3

$ sed -n 1,160p /repo/litellm/llms/base_llm/videos/transformation.py

output · 47 lines

import types
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union

import httpx
from httpx._types import RequestFiles

from litellm.types.responses.main import *
from litellm.types.router import GenericLiteLLMParams
from litellm.types.videos.main import VideoCreateOptionalRequestParams

if TYPE_CHECKING:

35 more lines

    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
    from litellm.types.videos.main import VideoObject as _VideoObject

    from ..chat.transformation import BaseLLMException as _BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
    BaseLLMException = _BaseLLMException
    VideoObject = _VideoObject
else:
    LiteLLMLoggingObj = Any
    BaseLLMException = Any
    VideoObject = Any


class BaseVideoConfig(ABC):
    def __init__(self):
        pass

    @classmethod
    def get_config(c
…[3033 chars omitted]…
form_video_content_response.
        
        Args:
            raw_response: Raw HTTP response
            logging_obj: Logging object
            
        Returns:
            Video content as bytes
        """
        # Default implementation: call sync version
        return self.transform_video_content_response(
            raw_response=raw_response,
            logging_obj=logging_obj,
        )

step 4

$ cd /repo && python - <<'PY'

output · 3 lines

True
True
('https://api.openai.com/v1/videos/video_123/content', {})

step 5

$ cd /repo && ls tests/llm/ 2>/dev/null | head; find tests -path '*video*' -name '*.py' | head

output · 8 lines

tests/test_litellm/llms/azure/videos/test_azure_video_transformation.py
tests/test_litellm/llms/gemini/videos/test_gemini_video_transformation.py
tests/test_litellm/llms/gemini/videos/__init__.py
tests/test_litellm/llms/runwayml/videos/test_runway_video_transformation.py
tests/test_litellm/llms/vertex_ai/videos/test_vertex_video_transformation.py
tests/test_litellm/llms/vertex_ai/videos/__init__.py
tests/test_litellm/test_azure_video_router.py
tests/test_litellm/test_video_generation.py

step 6

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py -x -q 2>&1 | tail -5

output · 5 lines

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
29 passed, 1 warning in 1.93s
/repo/litellm/llms/custom_httpx/async_client_cleanup.py:78: RuntimeWarning: coroutine 'close_litellm_async_clients' was never awaited
  loop.close()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

step 7

$ cd /repo && python - <<'PY'

output · 3 lines

Traceback (most recent call last):
  File "<stdin>", line 8, in <module>
TypeError: BaseLLMHTTPHandler.video_content_handler() missing 1 required positional argument: 'timeout'

step 8

$ cd /repo && grep -n "def video_content_handler" -A 60 litellm/llms/custom_httpx/llm_http_handler.py | head -80

output · 31 lines

4265:    def video_content_handler(
4266-        self,
4267-        video_id: str,
4268-        video_content_provider_config: BaseVideoConfig,
4269-        custom_llm_provider: str,
4270-        litellm_params: GenericLiteLLMParams,
4271-        logging_obj: LiteLLMLoggingObj,
4272-        timeout: Union[float, httpx.Timeout],
4273-        extra_headers: Optional[Dict[str, Any]] = None,
4274-        api_key: Optional[str] = None,
4275-        client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
4276-        _is_async: bool = False,

19 more lines

4277-    ) -> Union[bytes, Coroutine[Any, Any, bytes]]:
4278-        """
4279-        Handle video content download requests.
4280-        """
4281-        if _is_async:
4282-            return self.async_video_content_handler(
4283-                video_id=video_id,
4284-                video_content_provider_config=video_content_provider_config
…[1203 chars omitted]…
quest using the provider config
4317-        url, data = video_content_provider_config.transform_video_content_request(
4318-            video_id=video_id,
4319-            api_base=api_base,
4320-            litellm_params=litellm_params,
4321-            headers=headers,
4322-        )
4323-
4324-        try:
4325-            # Use POST if params contains data (e.g., Vertex AI fetchPredictOperation)

step 9

$ cd /repo && python - <<'PY'

output · 22 lines

Traceback (most recent call last):
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
    yield
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 250, in handle_request
    resp = self._pool.handle_request(req)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request
    raise exc from None
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request
    response = connection.handle_request(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 101, in handle_request

10 more lines

    raise exc
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 78, in h
…[3126 chars omitted]…
^^
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 3569, in _handle_error
    raise provider_config.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 387, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: [Errno -3] Temporary failure in name resolution

step 10

$ cd /repo && python - <<'PY'

output · 2 lines

call(url='https://api.openai.com/v1/videos/video_abc/content', headers={'Authorization': 'Bearer None'}, params={})
post calls: 0 out: b'mp4bytes'

step 11

$ cd /repo && git diff && python -m pytest tests/test_litellm/test_video_generation.py tests/test_litellm/llms -q 2>&1 | tail -3

output · 27 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..d9b3a3f 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -12,18 +12,16 @@ from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

15 more lines

-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLog
…[395 chars omitted]…
d video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a GET with no extra query parameters
+        params: Dict = {}
         
         return url, params
 
ERROR tests/test_litellm/llms/volcengine/test_volcengine_embedding.py - reque...
!!!!!!!!!!!!!!!!!!! Interrupted: 15 errors during collection !!!!!!!!!!!!!!!!!!!
19 warnings, 15 errors in 23.66s

step 12

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py tests/test_litellm/llms/azure/videos tests/test_litellm/llms/gemini/videos tests/test_litellm/llms/runwayml/videos tests/test_litellm/llms/vertex_ai/videos -q 2>&1 | tail -3

output · 3 lines

/repo/litellm/llms/custom_httpx/async_client_cleanup.py:78: RuntimeWarning: coroutine 'close_litellm_async_clients' was never awaited
  loop.close()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

step 13

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py tests/test_litellm/llms/azure/videos tests/test_litellm/llms/gemini/videos tests/test_litellm/llms/runwayml/videos tests/test_litellm/llms/vertex_ai/videos -q 2>&1 | grep -E "passed|failed"

output · 1 lines

106 passed, 1 warning in 8.49s

step 14

All checks pass.

$ done: {"notes": "Fixed OpenAIVideoConfig: imported BaseVideoConfig at runtime (real subclass, so async_transform_video_content_response is available) and transform_video_content_request now returns empty params so the HTTP layer issues a GET to /v1/videos/{id}/content. Verified with reproducers and existing video tests (106 passed)."}

output · 1 lines

submitted.

GLM-5.3 Flash · attempt 4 · solved · 14 steps · $0.002

Submitted diff · 34 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..5030878 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -15,17 +15,14 @@ from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
-    LiteLLMLoggingObj = _LiteLLMLoggingObj
-    BaseVideoConfig = _BaseVideoConfig
-    BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any
 
+from ...base_llm.videos.transformation import BaseVideoConfig
+
 
 class OpenAIVideoConfig(BaseVideoConfig):
     """
@@ -178,8 +175,8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a plain GET with no query parameters
+        params: Dict = {}
         
         return url, params

step 1

$ cd /repo && sed -n 1,80p litellm/llms/openai/videos/transformation.py && grep -n "video_content_handler" -n litellm/llms/custom_httpx/http_handler.py litellm/litellm_core_utils/*.py 2>/dev/null | head

output · 38 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

26 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
    from ...base_llm.chat.transformation imp
…[1138 chars omitted]…
,
        model: str,
        api_key: Optional[str] = None,
    ) -> dict:
        api_key = (
            api_key
            or litellm.api_key
            or litellm.openai_key
            or get_secret_str("OPENAI_API_KEY")
        )
        headers.update(
            {
                "Authorization": f"Bearer {api_key}",
            }
        )
        return headers

    def get_complete_url(

step 2

$ cd /repo && grep -n "transform_video_content_request" -A15 litellm/llms/openai/videos/transformation.py && grep -n "video_content_handler" -rn litellm --include=*.py | head

output · 20 lines

163:    def transform_video_content_request(
164-        self,
165-        video_id: str,
166-        api_base: str,
167-        litellm_params: GenericLiteLLMParams,
168-        headers: dict,
169-    ) -> Tuple[str, Dict]:
170-        """
171-        Transform the video content request for OpenAI API.
172-        
173-        OpenAI API expects the following request:
174-        - GET /v1/videos/{video_id}/content

8 more lines

175-        """
176-        original_video_id = extract_original_video_id(video_id)
177-        
178-        # Construct the URL for video content download
litellm/llms/custom_httpx/llm_http_handler.py:4265:    def video_content_handler(
litellm/llms/custom_httpx/llm_http_handler.py:4282:            return self.async_video_content_handler(
litellm/llms/custom_httpx/llm_http_handler.py:4353:    async def async_video_content_handler(
litellm/videos/main.py:360:        return base_llm_http_handler.video_content_handler(

step 3

$ cd /repo && sed -n 178,200p litellm/llms/openai/videos/transformation.py && sed -n 4265,4340p litellm/llms/custom_httpx/llm_http_handler.py

output · 42 lines

# Construct the URL for video content download
        url = f"{api_base.rstrip('/')}/{original_video_id}/content"
        
        # Add video_id as query parameter
        params = {"video_id": original_video_id}
        
        return url, params

    def transform_video_remix_request(
        self,
        video_id: str,
        prompt: str,

30 more lines

        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
        extra_body: Optional[Dict[str, Any]] = None,
    ) -> Tuple[str, Dict]:
        """
        Transform the video remix request for OpenAI API.
        
        OpenAI API expects the following request:
        - POST /v1/videos/{video_id}/remix
        """
    def video_content_handler(
        self,
        video_id: str,
        video_content_provider_config: BaseVideoConfig,
        custom_llm_provider: str,
        litellm_params: Ge
…[2119 chars omitted]…
    response = sync_httpx_client.post(
                    url=url,
                    headers=headers,
                    json=data,
                )
            else:
                # Otherwise it's a GET request with query params
                response = sync_httpx_client.get(
                    url=url,
                    headers=headers,
                    params=data,
                )

step 4

$ cd /repo && sed -n 1,40p litellm/llms/base_llm/videos/transformation.py

output · 40 lines

import types
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union

import httpx
from httpx._types import RequestFiles

from litellm.types.responses.main import *
from litellm.types.router import GenericLiteLLMParams
from litellm.types.videos.main import VideoCreateOptionalRequestParams

if TYPE_CHECKING:

28 more lines

    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
    from litellm.types.videos.main import VideoObject as _VideoObject

    from ..chat.transformation import BaseLLMException as _BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
    BaseLLMException = _BaseLLMException
    VideoObject = _VideoObject
else:
    LiteLLMLoggingObj = Any
    BaseLLMException = Any
    VideoObject = Any


class BaseVideoConfig(ABC):
    def __init__(self):
        pass

    @classmethod
    def get_config(cls):
        return {
            k: v
            for k, v in cls.__dict__.items()
            if not k.startswith("__")
            and not k.startswith("_abc")
            and not isinstance(
                v,
                (

step 5

$ cd /repo && python - <<'PY'

output · 38 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

26 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException

else:
    LiteLLMLoggingObj = Any
    BaseL
…[861 chars omitted]…
{original_video_id}/content"
        
        # OpenAI expects a plain GET with no query parameters
        params: Dict = {}
        
        return url, params

    def transform_video_remix_request(
        self,
        video_id: str,
        prompt: str,
        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
        extra_body: Optional[Dict[str, Any]] = None,

step 6

$ cd /repo && python - <<'PY'

output · 23 lines

https://api.openai.com/v1/videos/video_123/content {}
Traceback (most recent call last):
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
    yield
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 250, in handle_request
    resp = self._pool.handle_request(req)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request
    raise exc from None
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request
    response = connection.handle_request(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^

11 more lines

  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 101, in handle_request
    raise exc
  File "/usr/local/lib/python3.12/site
…[3181 chars omitted]…
^^
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 3569, in _handle_error
    raise provider_config.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 386, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: [Errno -3] Temporary failure in name resolution

step 7

$ cd /repo && python - <<'PY'

output · 3 lines

Traceback (most recent call last):
  File "<stdin>", line 12, in <module>
NameError: name 'litellm' is not defined

step 8

$ cd /repo && python - <<'PY'

output · 3 lines

Traceback (most recent call last):
  File "<stdin>", line 17, in <module>
KeyError: 'url'

step 9

$ cd /repo && python - <<'PY'

output · 1 lines

b'BYTES' call('https://api.openai.com/v1/videos/video_abc/content', params={}, headers={'Authorization': 'Bearer None'}, follow_redirects=<httpx._client.UseClientDefault object at 0x74396653b7a0>) 0

step 10

$ cd /repo && ls tests/ | grep -i video; python -m pytest tests/llm_translation/test_video_generation.py -x -q 2>&1 | tail -5

output · 4 lines

ERROR: file or directory not found: tests/llm_translation/test_video_generation.py


no tests ran in 0.02s

step 11

$ cd /repo && find tests -iname "*video*" | head

output · 10 lines

tests/test_litellm/llms/azure/videos
tests/test_litellm/llms/azure/videos/test_azure_video_transformation.py
tests/test_litellm/llms/gemini/videos
tests/test_litellm/llms/gemini/videos/test_gemini_video_transformation.py
tests/test_litellm/llms/runwayml/videos
tests/test_litellm/llms/runwayml/videos/test_runway_video_transformation.py
tests/test_litellm/llms/vertex_ai/videos
tests/test_litellm/llms/vertex_ai/videos/test_vertex_video_transformation.py
tests/test_litellm/test_azure_video_router.py
tests/test_litellm/test_video_generation.py

step 12

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py -q 2>&1 | tail -5

output · 5 lines

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
29 passed, 1 warning in 1.88s
/repo/litellm/llms/custom_httpx/async_client_cleanup.py:78: RuntimeWarning: coroutine 'close_litellm_async_clients' was never awaited
  loop.close()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

step 13

$ cd /repo && git diff

output · 31 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..5030878 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -15,17 +15,14 @@ from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
-    LiteLLMLoggingObj = _LiteLLMLoggingObj

19 more lines

-    BaseVideoConfig = _BaseVideoConfig
-    BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any
 
+from ...base_llm.videos.transformation import BaseVid
…[80 chars omitted]…
8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
+        # OpenAI expects a plain GET with no query parameters
+        params: Dict = {}
         
         return url, params

step 14

$ done: {"notes": "Fixed OpenAI video content download: transform_video_content_request now returns empty params (GET path), and BaseVideoConfig is imported at runtime so OpenAIVideoConfig is a real subclass exposing async_transform_video_content_response. Reproducer and tests/test_litellm/test_video_generation.py pass."}

output · 1 lines

submitted.

GLM-5.3 Flash · attempt 5 · solved · 16 steps · $0.003

Submitted diff · 37 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..cfcf3b7 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -12,18 +12,16 @@ from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
 
-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLoggingObj
-    BaseVideoConfig = _BaseVideoConfig
     BaseLLMException = _BaseLLMException
 else:
     LiteLLMLoggingObj = Any
-    BaseVideoConfig = Any
     BaseLLMException = Any
 
 
@@ -178,10 +176,8 @@ class OpenAIVideoConfig(BaseVideoConfig):
         # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
-        
-        return url, params
+        # Content download is a GET with no extra parameters
+        return url, {}
 
     def transform_video_remix_request(
         self,

step 1

$ sed -n 1,120p /repo/litellm/llms/openai/videos/transformation.py; grep -n "video_content_handler" -n /repo/litellm/llms/base_llm/http_handler.py | head

output · 32 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

20 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
    from ...base_llm.chat.transformation imp
…[2516 chars omitted]…
       }
        
        # Create the request data
        video_create_request = CreateVideoRequest(
            model=model,
            prompt=prompt,
            **video_create_optional_request_params
        )
        request_dict = cast(Dict, video_create_request)

        # Handle input_reference parameter if provided
grep: /repo/litellm/llms/base_llm/http_handler.py: No such file or directory

step 2

$ grep -n "transform_video_content_request" -A15 /repo/litellm/llms/openai/videos/transformation.py; grep -rn "video_content_handler" /repo/litellm --include=*.py -l

output · 18 lines

163:    def transform_video_content_request(
164-        self,
165-        video_id: str,
166-        api_base: str,
167-        litellm_params: GenericLiteLLMParams,
168-        headers: dict,
169-    ) -> Tuple[str, Dict]:
170-        """
171-        Transform the video content request for OpenAI API.
172-        
173-        OpenAI API expects the following request:
174-        - GET /v1/videos/{video_id}/content

6 more lines

175-        """
176-        original_video_id = extract_original_video_id(video_id)
177-        
178-        # Construct the URL for video content download
/repo/litellm/llms/custom_httpx/llm_http_handler.py
/repo/litellm/videos/main.py

step 3

$ sed -n 178,200p /repo/litellm/llms/openai/videos/transformation.py; grep -n "video_content_handler" -A60 /repo/litellm/llms/custom_httpx/llm_http_handler.py | head -90

output · 38 lines

# Construct the URL for video content download
        url = f"{api_base.rstrip('/')}/{original_video_id}/content"
        
        # Add video_id as query parameter
        params = {"video_id": original_video_id}
        
        return url, params

    def transform_video_remix_request(
        self,
        video_id: str,
        prompt: str,

26 more lines

        api_base: str,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
        extra_body: Optional[Dict[str, Any]] = None,
    ) -> Tuple[str, Dict]:
        """
        Transform the video remix request for OpenAI API.
        
        OpenAI API expects the following request:
        - POST /v1/videos/{video_id}/remix
        """
4265:    def video_content_handler(
4266-        self,
4267-        video_id: str,
4268-        video_content_provider_config: BaseVideoConfig,
4269-        custom_llm_provider: str,
4
…[3181 chars omitted]…
ent_provider_config: BaseVideoConfig,
4357-        custom_llm_provider: str,
4358-        litellm_params: GenericLiteLLMParams,
4359-        logging_obj: LiteLLMLoggingObj,
4360-        timeout: Union[float, httpx.Timeout],
4361-        extra_headers: Optional[Dict[str, Any]] = None,
4362-        api_key: Optional[str] = None,
4363-        client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,

step 4

$ sed -n 1,60p /repo/litellm/llms/base_llm/videos/transformation.py; grep -n "async_transform_video_content_response\|transform_video_content_response" /repo/litellm/llms/base_llm/videos/transformation.py

output · 43 lines

import types
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union

import httpx
from httpx._types import RequestFiles

from litellm.types.responses.main import *
from litellm.types.router import GenericLiteLLMParams
from litellm.types.videos.main import VideoCreateOptionalRequestParams

if TYPE_CHECKING:

31 more lines

    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
    from litellm.types.videos.main import VideoObject as _VideoObject

    from ..chat.transformation import BaseLLMException as _BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
    BaseLLMException = _BaseLLMException
    VideoObject = _VideoObject
else:
    LiteLLMLoggingObj = Any
    BaseLLMException = Any
    VideoObject = Any


class BaseVideoConfig(ABC):
    def __init__(self):
        pass

    @classmethod
    def get_config(c
…[597 chars omitted]…
arams(
        self,
        video_create_optional_params: VideoCreateOptionalRequestParams,
        model: str,
        drop_params: bool,
    ) -> Dict:
130:    def transform_video_content_response(
137:    async def async_transform_video_content_response(
147:        Default implementation falls back to sync transform_video_content_response.
157:        return self.transform_video_content_response(

step 5

$ python -c "import litellm.llms.base_llm.videos.transformation as m; print('ok')"

output · 1 lines

ok

step 6

$ cd /repo && python - <<'PY'

output · 31 lines

from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from io import BufferedReader
from typing import cast
import httpx
from httpx._types import RequestFiles

from litellm.types.videos.main import VideoCreateOptionalRequestParams
from litellm.types.llms.openai import CreateVideoRequest
from litellm.types.router import GenericLiteLLMParams
from litellm.secret_managers.main import get_secret_str
from litellm.types.videos.main import VideoObject
from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id

19 more lines

import litellm
from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

    from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
    BaseLLMException = _BaseLLMException
else:
    LiteLLMLoggingObj = Any
    BaseLLMException = Any


class OpenAIVideoConfig(BaseVideoConfig):
    """
    Configuration class for OpenAI video generation.
180:        return url, {}

step 7

$ cd /repo && python - <<'PY'

output · 4 lines

https://api.openai.com/v1/videos/video_123/content {}
Traceback (most recent call last):
  File "<stdin>", line 9, in <module>
ModuleNotFoundError: No module named 'litellm.integrations.custom_httpx_request_logger'

step 8

$ cd /repo && python - <<'PY'

output · 22 lines

Traceback (most recent call last):
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
    yield
  File "/usr/local/lib/python3.12/site-packages/httpx/_transports/default.py", line 250, in handle_request
    resp = self._pool.handle_request(req)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request
    raise exc from None
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request
    response = connection.handle_request(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 101, in handle_request

10 more lines

    raise exc
  File "/usr/local/lib/python3.12/site-packages/httpcore/_sync/connection.py", line 78, in h
…[3126 chars omitted]…
^^
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 3569, in _handle_error
    raise provider_config.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 385, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: [Errno -3] Temporary failure in name resolution

step 9

$ cd /repo && python - <<'PY'

output · 18 lines

Traceback (most recent call last):
  File "<stdin>", line 17, in <module>
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "<stdin>", line 15, in go

6 more lines

  File "/usr/local/lib/python3.12/unittest/mock.py", line 1467, in __enter__
    original, local = self.get_original()
                      ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/unittest/mock.py", line 1437, in get_original
    raise AttributeError(
AttributeError: <module 'litellm.llms.custom_httpx.llm_http_handler' from '/repo/litellm/llms/custom_httpx/llm_http_handler.py'> does not have the attribute '_get_async_httpx_client'

step 10

$ cd /repo && sed -n 4353,4420p litellm/llms/custom_httpx/llm_http_handler.py | grep -n "client\|get\|post"

output · 9 lines

11:        client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
16:        if client is None or not isinstance(client, AsyncHTTPHandler):
17:            async_httpx_client = get_async_httpx_client(
19:                params={"ssl_verify": litellm_params.get("ssl_verify", None)},
22:            async_httpx_client = client
33:        api_base = video_content_provider_config.get_complete_url(
35:            api_base=litellm_params.get("api_base", None),
51:                response = await async_httpx_client.post(
58:                response = await async_httpx_client.get(

step 11

$ cd /repo && python - <<'PY'

output · 27 lines

Traceback (most recent call last):
  File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 4410, in async_video_content_handler
    response = await async_httpx_client.get(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: object MagicMock can't be used in 'await' expression

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 17, in <module>
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 195, in run
    return runner.run(main)

15 more lines

           ^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete
    return future.result()
           ^^^^^^^^^^^^^^^
  File "<stdin>", lin
…[178 chars omitted]…
File "/repo/litellm/llms/custom_httpx/llm_http_handler.py", line 3569, in _handle_error
    raise provider_config.get_error_class(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/repo/litellm/llms/openai/videos/transformation.py", line 385, in get_error_class
    raise BaseLLMException(
litellm.llms.base_llm.chat.transformation.BaseLLMException: object MagicMock can't be used in 'await' expression

step 12

$ cd /repo && python - <<'PY'

output · 1 lines

async ok

step 13

$ cd /repo && find tests -iname "*video*" | head;

output · 10 lines

tests/test_litellm/llms/azure/videos
tests/test_litellm/llms/azure/videos/test_azure_video_transformation.py
tests/test_litellm/llms/gemini/videos
tests/test_litellm/llms/gemini/videos/test_gemini_video_transformation.py
tests/test_litellm/llms/runwayml/videos
tests/test_litellm/llms/runwayml/videos/test_runway_video_transformation.py
tests/test_litellm/llms/vertex_ai/videos
tests/test_litellm/llms/vertex_ai/videos/test_vertex_video_transformation.py
tests/test_litellm/test_azure_video_router.py
tests/test_litellm/test_video_generation.py

step 14

$ cd /repo && python -m pytest tests/test_litellm/test_video_generation.py tests/test_litellm/llms/vertex_ai/videos -q 2>&1 | tail -5

output · 5 lines

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
58 passed, 1 warning in 2.97s
/repo/litellm/llms/custom_httpx/async_client_cleanup.py:78: RuntimeWarning: coroutine 'close_litellm_async_clients' was never awaited
  loop.close()
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

step 15

$ cd /repo && git diff

output · 29 lines

diff --git a/litellm/llms/openai/videos/transformation.py b/litellm/llms/openai/videos/transformation.py
index 9848477..cfcf3b7 100644
--- a/litellm/llms/openai/videos/transformation.py
+++ b/litellm/llms/openai/videos/transformation.py
@@ -12,18 +12,16 @@ from litellm.types.videos.main import VideoObject
 from litellm.types.videos.utils import encode_video_id_with_provider, extract_original_video_id
 import litellm
 from litellm.llms.openai.image_edit.transformation import ImageEditRequestUtils
+from litellm.llms.base_llm.videos.transformation import BaseVideoConfig
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj

17 more lines

-    from ...base_llm.videos.transformation import BaseVideoConfig as _BaseVideoConfig
     from ...base_llm.chat.transformation import BaseLLMException as _BaseLLMException
 
     LiteLLMLoggingObj = _LiteLLMLog
…[252 chars omitted]…
     # Construct the URL for video content download
         url = f"{api_base.rstrip('/')}/{original_video_id}/content"
         
-        # Add video_id as query parameter
-        params = {"video_id": original_video_id}
-        
-        return url, params
+        # Content download is a GET with no extra parameters
+        return url, {}
 
     def transform_video_remix_request(
         self,

step 16

Both fixes verified: `transform_video_content_request` now returns `url, {}` (GET path, no POST), and `OpenAIVideoConfig` genuinely subclasses `BaseVideoConfig` at runtime so `async_transform_video_content_response` is available. Reproducers pass and existing video tests (58) pass.

$ done: {"notes": "Fixed OpenAI video content download: transform_video_content_request now returns the content URL with empty params (GET path), and OpenAIVideoConfig imports BaseVideoConfig at runtime so async_transform_video_content_response exists. Verified with mock-based reproducers and existing video tests."}

output · 1 lines

submitted.