TwelveLabs Marengo Embed 3.0

{
    "inputType": "text",
    "text": {
        "inputText": "string"
    }
}

{
  "inputType": "image",
  "image": {
    "mediaSource": {
      "base64String": "base64-encoded string", // base64String OR s3Location, exactly one
      "s3Location": {
        "uri": "s3://amzn-s3-demo-bucket/folder/dog.jpg",
        "bucketOwner": "123456789012"
      }
    }
  }
}

{
  "inputType": "text_image",
  "text_image": {
    "inputText": "man walking a dog",
    "mediaSource": {
      "base64String": "base64-encoded string", // base64String OR s3Location, exactly one
      "s3Location": {
        "uri": "s3://amzn-s3-demo-bucket/folder/dog.jpg",
        "bucketOwner": "123456789012"
      }
    }
  }
}

{
  "inputType": "audio",
  "audio": {
    "mediaSource": {
      "base64String": "base64-encoded string", // base64String OR s3Location, exactly one
      "s3Location": {
        "uri": "s3://amzn-s3-demo-bucket/audio/a.wav",
        "bucketOwner": "123456789012"
      }
    },
    "startSec": 0,
    "endSec": 6,
    "segmentation": {
      "method": "fixed", 
      "fixed": {
        "durationSec": 6
      }
    },
    "embeddingOption": [
      "audio",
      "transcription"
    ], // optional, default=both
    "embeddingScope": [
      "clip",
      "asset"
    ] // optional, one or both
  }
}

{
  "inputType": "video",
  "video": {
    "mediaSource": {
      "base64String": "base64-encoded string", // base64String OR s3Location, exactly one
      "s3Location": {
        "uri": "s3://amzn-s3-demo-bucket/video/clip.mp4",
        "bucketOwner": "123456789012"
      }
    },
    "startSec": 0,
    "endSec": 6,
    "segmentation": {
      "method": "dynamic", // dynamic OR fixed, exactly one
      "dynamic": {
        "minDurationSec": 4
      }
      "method": "fixed",
      "fixed": {
        "durationSec": 6
      }
    },
    "embeddingOption": [
      "visual",
      "audio", 
      "transcription"
    ], // optional, default=all
    "embeddingScope": [
      "clip",
      "asset"
    ] // optional, one or both
  },
  "inferenceId": "some inference id"
}

# Create the model-specific input
model_id = "twelvelabs.marengo-embed-3-0-v1:0"
# Replace the us prefix depending on your region
inference_profile_id = "us.twelvelabs.marengo-embed-3-0-v1:0"

model_input = {
    "inputType": "text",
    "text": {
        "inputText": "man walking a dog"
    }
}

# Create the model-specific input
model_id = "twelvelabs.marengo-embed-3-0-v1:0"
# Replace the us prefix depending on your region
inference_profile_id = "us.twelvelabs.marengo-embed-3-0-v1:0"

model_input = {
    "inputType": "image",
    "image": {
        "mediaSource": {
            "s3Location": {
                "uri": "s3://amzn-s3-demo-bucket/my_image.png",
                "bucketOwner": "123456789012"
            }
        }
    }
}

# Create the model-specific input
model_id = "twelvelabs.marengo-embed-3-0-v1:0"
# Replace the us prefix depending on your region
inference_profile_id = "us.twelvelabs.marengo-embed-3-0-v1:0"

model_input = {
    "inputType": "text_image",
    "text_image": {
        "inputText": "man walking a dog",
        "mediaSource": {
            "s3Location": {
                "uri": "s3://amzn-s3-demo-bucket/my_image.jpg",
                "bucketOwner": "123456789012"
            }
        }
    }
}

# Create the model-specific input
model_id = "twelvelabs.marengo-embed-3-0-v1:0"
# Replace the us prefix depending on your region
inference_profile_id = "us.twelvelabs.marengo-embed-3-0-v1:0"
 
model_input = {
    "inputType": "audio",
    "audio": {
        "mediaSource": {  
            "s3Location": { 
                "uri": "s3://amzn-s3-demo-bucket/my-audio.wav", 
                "bucketOwner": "123456789012" 
            }
        },
        "startSec": 0,
        "endSec": 5,
        "segmentation": {
            "method": "fixed",
            "fixed": {
                "durationSec": 5
            }
        },
        "embeddingScope": ["clip", "asset"],
        "embeddingOption": ["audio"]
    }
}

# Create the model-specific input
model_id = "twelvelabs.marengo-embed-3-0-v1:0"
# Replace the us prefix depending on your region
inference_profile_id = "us.twelvelabs.marengo-embed-3-0-v1:0"
 
model_input = {
    "inputType": "video",
    "video": {
        "mediaSource": {
            "s3Location": {
                "uri": "s3://amzn-s3-demo-bucket/my-video.mp4",
                "bucketOwner": "123456789012"
            }
        },
        "startSec": 10,
        "endSec": 20,
        "segmentation": {
            "method": "fixed",
            "fixed": {
                "durationSec": 5
            }
        },
        "embeddingOption": [
            "visual", 
            "audio"
        ],
        "embeddingScope": [
            "clip",
            "asset"
        ]
    }
}

# Run model invocation with InvokeModel
import boto3
import json

# Initialize the Bedrock Runtime client
client = boto3.client('bedrock-runtime')

# Make the request
response = client.invoke_model(
    modelId=inference_profile_id,
    body=json.dumps(model_input)
)

# Print the response body
response_body = json.loads(response['body'].read().decode('utf-8'))

print(response_body)

# Run model invocation asynchronously
import boto3
import json

# Initalize the Bedrock Runtime client.
client = boto3.client("bedrock-runtime")

try:
    # Start the asynchronous job
    invocation = client.start_async_invoke(
        modelId=model_id,
        modelInput=model_input,
        outputDataConfig={
            "s3OutputDataConfig": {
                "s3Uri": "s3://amzn-s3-demo-bucket"
            }
        }
    )

    # Print the response JSON
    print("Response:")
    print(json.dumps(invocation, indent=2, default=str))

except Exception as e:
    # Implement error handling here.
    message = e.response["Error"]["Message"]
    print(f"Error: {message}")