The resources.EmbedTask class provides methods to create embeddings for your videos.

To create video embeddings:

Create a video embedding task that uploads and processes a video.
Monitor the status of your task.
Retrieve the embeddings once the task is completed.

Methods

Create a video embedding task

Description: This method creates a new video embedding task.

Function signature and example:

def create(
    self,
    engine_name: str,
    *,
    video_file: Union[str, BinaryIO, None] = None,
    video_url: Optional[str] = None,
    video_start_offset_sec: Optional[float] = None,
    video_end_offset_sec: Optional[float] = None,
    video_clip_length: Optional[int] = None,
    video_embedding_scopes: Optional[List[Literal["clip", "video"]]] = None,
    **kwargs
) -> models.EmbeddingsTask

task = client.embed.task.create(
    engine_name="Marengo-retrieval-2.6",
    # video_file="<YOUR_VIDEO_FILE>",
    video_url="<YOUR_VIDEO_URL>",
    video_start_offset_sec=0,
    video_end_offset_sec=10,
    video_clip_length=5,
    video_embedding_scopes=["clip", "video"]
)

print(f"Task ID: {task.id}")
print(f"Engine Name: {task.engine_name}")
print(f"Status: {task.status}")

Parameters:

Name	Type	Required	Description
`engine_name`	`str`	Yes	The name of the video understanding engine to use. Example: "Marengo-retrieval-2.6".
`video_file`	`Union[str, BinaryIO, None]`	No	Path to the video file or a file-like object.
`video_url`	`Optional[str]`	No	The publicly accessible URL of the video.
`video_start_offset_sec`	`Optional[float]`	No	The start offset in seconds from the beginning of the video where processing should begin.
`video_end_offset_sec`	`Optional[float]`	No	The end offset in seconds from the beginning of the video where processing should stop.
`video_clip_length`	`Optional[int]`	No	The desired duration in seconds for each clip for which the platform generates an embedding.
`video_embedding_scopes`	`Optional[List[Literal["clip", "video"]]]`	No	Specifies the embedding scope. Valid values are: - `["clip"]` - `["clip", "video"]`
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.EmbeddingsTask object representing the new video embedding task.

API Reference: For a description of each field in the request and response, see the Create a video embedding task page.

Related guide: Create video embeddings.

Retrieve the status of a video embedding task

Description: This method retrieves the status of a video embedding task.

Function signature and example:

def status(self, task_id: str, **kwargs) -> models.EmbeddingsTaskStatus

task = client.embed.task.status(task_id="<YOUR_TASK_ID>")

print(f"Task ID: {task.id}")
print(f"Engine Name: {task.engine_name}")
print(f"Status: {task.status}")

Parameters:

Name	Type	Required	Description
`task_id`	`string`	Yes	The unique identifier of the video embedding task.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.EmbeddingsTaskStatus object containing the current status of the embedding task.

📘
Note:
You can also use the wait_for_done method of the models.EmbeddingTask class to monitor the status of a video indexing task until it completes.

API Reference: For a description of each field in the response, see the Retrieve the status of a video embedding task page.

Related guide: Create video embeddings.

Retrieve video embeddings

Description: This method retrieves embeddings for a specific video embedding task. Ensure the task status is ready before retrieving your embeddings.

Function signature and example:

def retrieve(self, id: str, **kwargs) -> models.EmbeddingsTask

response = client.embed.task.retrieve(id="<YOUR_TASK_ID>")

print(f"Task ID: {response.id}")
print(f"Engine Name: {response.engine_name}")
print(f"Status: {response.status}")

if response.video_embeddings:
    for i, embedding in enumerate(response.video_embeddings):
        print(f"\nEmbedding {i + 1}:")
        print(f"  Start Offset: {embedding.start_offset_sec} seconds")
        print(f"  End Offset: {embedding.end_offset_sec} seconds")
        print(f"  Embedding Scope: {embedding.embedding_scope}")
        print(f"  Embedding Values: {embedding.values[:5]} (truncated)")
else:
    print("No video embeddings available")

Parameters:

Name	Type	Required	Description
`id`	`string`	Yes	The unique identifier of the video embedding task.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.EmbeddingsTask object containing the details of the embedding task, including the embeddings if available. The video_embeddings property of the returned object is a RootModelList of VideoEmbedding objects when the task is completed, or None if the embeddings are not yet available.

API Reference: For a description of each field in the response, see the Retrieve video embeddings page.

Related guide: Create video embeddings.

Methods

Create a video embedding task

Retrieve the status of a video embedding task

📘Note:

Retrieve video embeddings

📘
Note: