mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-24 02:05:11 +08:00
* version-1.9.0-docs * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
107 lines
6.6 KiB
Plaintext
107 lines
6.6 KiB
Plaintext
---
|
|
title: Amazon
|
|
slug: /bundles-amazon
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
|
|
<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) 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 Converse
|
|
|
|
This component generates text using [Amazon Bedrock LLMs](https://docs.aws.amazon.com/bedrock) with the Bedrock Converse API.
|
|
|
|
It can output either a **Model Response** ([`Message`](/data-types#message)) or a **Language Model** ([`LanguageModel`](/data-types#languagemodel)).
|
|
Specifically, the **Language Model** output is an instance of [`ChatBedrockConverse`](https://docs.langchain.com/oss/python/integrations/chat/bedrock) 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 Transform** component.
|
|
|
|
For more information, see [Language model components](/components-models).
|
|
|
|
### Amazon Bedrock Converse parameters
|
|
|
|
<PartialParams />
|
|
|
|
| Name | Type | Description |
|
|
|------|------|-------------|
|
|
| input_value | 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. Required. |
|
|
| aws_secret_access_key | SecretString | Input parameter. AWS Secret Key for authentication. Required. |
|
|
| aws_session_token | SecretString | Input parameter. The session key for your AWS account. Only needed for temporary credentials. |
|
|
| credentials_profile_name | String | Input parameter. Name of the AWS credentials profile to use. If not provided, the default profile will be used. |
|
|
| region_name | String | Input parameter. AWS region where your Bedrock resources are located. Default: `us-east-1`. |
|
|
| endpoint_url | String | Input parameter. Custom endpoint URL for a Bedrock service. |
|
|
| temperature | Float | Input parameter. Controls randomness in output. Higher values make output more random. Default: `0.7`. |
|
|
| max_tokens | Integer | Input parameter. Maximum number of tokens to generate. Default: `4096`. |
|
|
| top_p | Float | Input parameter. Nucleus sampling parameter. Controls diversity of output. Default: `0.9`. |
|
|
| top_k | Integer | Input parameter. Limits the number of highest probability vocabulary tokens to consider. Note: Not all models support top_k. Default: `250`. |
|
|
| disable_streaming | Boolean | Input parameter. If True, disables streaming responses. Useful for batch processing. Default: `false`. |
|
|
| additional_model_fields | Dictionary | Input parameter. Additional model-specific parameters for fine-tuning behavior. |
|
|
|
|
## Amazon Bedrock Embeddings
|
|
|
|
The **Amazon Bedrock Embeddings** component is used to load embedding models from [Amazon Bedrock](https://aws.amazon.com/bedrock/).
|
|
|
|
For more information about using embedding model components in flows, see [Embedding model components](/components-embedding-models).
|
|
|
|
### Amazon Bedrock Embeddings parameters
|
|
|
|
<PartialParams />
|
|
|
|
| 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 `JSON` input from a **Read File** or **Directory** component.
|
|
If you upload `JSON` 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
|
|
|
|
<PartialParams />
|
|
|
|
| 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 `JSON` 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** | JSON | Input parameter. The `JSON` 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`. |
|
|
|
|
## Legacy Amazon components
|
|
|
|
import PartialLegacy from '@site/docs/_partial-legacy.mdx';
|
|
|
|
<PartialLegacy />
|
|
|
|
The following Amazon components are in legacy status:
|
|
|
|
<details>
|
|
<summary>Amazon Bedrock</summary>
|
|
|
|
The **Amazon Bedrock** component was deprecated in favor of the **Amazon Bedrock Converse** component, which uses the Bedrock Converse API for conversation handling.
|
|
|
|
To use Amazon Bedrock models in your flows, use the [**Amazon Bedrock Converse**](#amazon-bedrock-converse) component instead.
|
|
|
|
|
|
</details> |