Bases: BaseMultiModelEmbeddingDriver
Source code in griptape/drivers/embedding/amazon_sagemaker_embedding_driver.py
| @define
class AmazonSageMakerEmbeddingDriver(BaseMultiModelEmbeddingDriver):
session: boto3.Session = field(default=Factory(lambda: import_optional_dependency("boto3").Session()), kw_only=True)
sagemaker_client: Any = field(
default=Factory(lambda self: self.session.client("sagemaker-runtime"), takes_self=True), kw_only=True
)
embedding_model_driver: BaseEmbeddingModelDriver = field(kw_only=True)
def try_embed_chunk(self, chunk: str) -> list[float]:
payload = self.embedding_model_driver.chunk_to_model_params(chunk)
endpoint_response = self.sagemaker_client.invoke_endpoint(
EndpointName=self.model, ContentType="application/x-text", Body=json.dumps(payload).encode("utf-8")
)
response = json.loads(endpoint_response.get("Body").read().decode("utf-8"))
return self.embedding_model_driver.process_output(response)
|
embedding_model_driver: BaseEmbeddingModelDriver = field(kw_only=True)
class-attribute
instance-attribute
sagemaker_client: Any = field(default=Factory(lambda self: self.session.client('sagemaker-runtime'), takes_self=True), kw_only=True)
class-attribute
instance-attribute
session: boto3.Session = field(default=Factory(lambda: import_optional_dependency('boto3').Session()), kw_only=True)
class-attribute
instance-attribute
try_embed_chunk(chunk)
Source code in griptape/drivers/embedding/amazon_sagemaker_embedding_driver.py
| def try_embed_chunk(self, chunk: str) -> list[float]:
payload = self.embedding_model_driver.chunk_to_model_params(chunk)
endpoint_response = self.sagemaker_client.invoke_endpoint(
EndpointName=self.model, ContentType="application/x-text", Body=json.dumps(payload).encode("utf-8")
)
response = json.loads(endpoint_response.get("Body").read().decode("utf-8"))
return self.embedding_model_driver.process_output(response)
|