Amazon
Bundles contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the Amazon bundle.
Amazon Bedrock
This component generates text using Amazon Bedrock LLMs.
It can output either a Model Response (Message
) or a Language Model (LanguageModel
).
Specifically, the Language Model output is an instance of ChatBedrock
configured according to the component's parameters.
Use the Language Model output when you want to use an Amazon Bedrock model as the LLM for another LLM-driven component, such as an Agent or Smart Function component.
For more information, see Language model components.
Amazon Bedrock parameters
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
Name | Type | Description |
---|---|---|
input | String | Input parameter. The input string for text generation. |
system_message | String | Input parameter. A system message to pass to the model. |
stream | Boolean | Input parameter. Whether to stream the response. Only works in chat. Default: false. |
model_id | String | Input parameter. The Amazon Bedrock model to use. |
aws_access_key_id | SecretString | Input parameter. AWS Access Key for authentication. |
aws_secret_access_key | SecretString | Input parameter. AWS Secret Key for authentication. |
aws_session_token | SecretString | Input parameter. The session key for your AWS account. |
credentials_profile_name | String | Input parameter. Name of the AWS credentials profile to use. |
region_name | String | Input parameter. AWS region where your Bedrock resources are located. Default: us-east-1 . |
model_kwargs | Dictionary | Input parameter. Additional keyword arguments to pass to the model. |
endpoint_url | String | Input parameter. Custom endpoint URL for a Bedrock service. |
Amazon Bedrock Embeddings
The Amazon Bedrock Embeddings component is used to load embedding models from Amazon Bedrock.
For more information about using embedding model components in flows, see Embedding model components.
Amazon Bedrock Embeddings parameters
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
Name | Type | Description |
---|---|---|
model_id | String | Input parameter. The ID of the model to call, such as amazon.titan-embed-text-v1 . This is equivalent to the modelId property in the list-foundation-models API. |
aws_access_key_id | SecretString | Input parameter. AWS Access Key for authentication. |
aws_secret_access_key | SecretString | Input parameter. AWS Secret Key for authentication. |
aws_session_token | SecretString | Input parameter. The session key for your AWS account. |
credentials_profile_name | String | Input parameter. The name of the AWS credentials profile in ~/.aws/credentials or ~/.aws/config , which has access keys or role information. |
region_name | String | Input parameter. The AWS region to use, such as us-west-2 . Falls back to the AWS_DEFAULT_REGION environment variable or region specified in ~/.aws/config if not provided. |
endpoint_url | String | Input parameter. The URL to set a specific service endpoint other than the default AWS endpoint. |
S3 Bucket Uploader
The S3 Bucket Uploader component uploads files to an Amazon S3 bucket.
It is designed to process Data
input from a File or Directory component.
If you upload Data
from other components, test the results before running the flow in production.
Requires the boto3
package, which is included in your Langflow installation.
The component produces logs but it doesn't emit output to the flow.
S3 Bucket Uploader parameters
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
Name | Type | Description |
---|---|---|
AWS Access Key ID | SecretString | Input parameter. AWS Access Key ID for authentication. |
AWS Secret Key | SecretString | Input parameter. AWS Secret Key for authentication. |
Bucket Name | String | Input parameter. The name of the S3 bucket to upload files to. |
Strategy for file upload | String | Input parameter. The file upload strategy. Store Data (default) iterates over Data inputs, logs the file path and text content, and uploads each file to the specified S3 bucket if both file path and text content are available. Store Original File iterates through the list of data inputs, retrieves the file path from each data item, uploads the file to the specified S3 bucket if the file path is available, and logs the file path being uploaded. |
Data Inputs | Data | Input parameter. The Data input to iterate over and upload as files in the specified S3 bucket. |
S3 Prefix | String | Input parameter. Optional prefix (folder path) within the S3 bucket where files will be uploaded. |
Strip Path | Boolean | Input parameter. Whether to strip the file path when uploading. Default: false. |