Skip to main content

aws_bedrock_chat processor

Generates responses to messages in a chat conversation, using the AWS Bedrock API.

# Common config fields, showing default values
pipeline:
  processors:
    - label: ""
      aws_bedrock_chat:
        model: "" # No default (required)
        prompt: "" # No default (optional)
        system_prompt: "" # No default (optional)
        max_tokens: 0 # No default (optional)
        temperature: 0 # No default (optional)

This processor sends prompts to your chosen large language model (LLM) and generates text from the responses, using the AWS Bedrock API. For more information, see the AWS Bedrock documentation.

Fields​

region​

The AWS region to target.

Type: string

endpoint​

Allows you to specify a custom endpoint for the AWS API.

Type: string

tcp​

TCP socket configuration.

Type: object

tcp.connect_timeout​

Maximum amount of time a dial will wait for a connect to complete. Zero disables.

Type: string
Default: "0s"

tcp.keep_alive​

TCP keep-alive probe configuration.

Type: object

tcp.keep_alive.idle​

Duration the connection must be idle before sending the first keep-alive probe. Zero defaults to 15s. Negative values disable keep-alive probes.

Type: string
Default: "15s"

tcp.keep_alive.interval​

Duration between keep-alive probes. Zero defaults to 15s.

Type: string
Default: "15s"

tcp.keep_alive.count​

Maximum unanswered keep-alive probes before dropping the connection. Zero defaults to 9.

Type: int
Default: 9

tcp.tcp_user_timeout​

Maximum time to wait for acknowledgment of transmitted data before killing the connection. Linux-only (kernel 2.6.37+), ignored on other platforms. When enabled, keep_alive.idle must be greater than this value per RFC 5482. Zero disables.

Type: string
Default: "0s"

credentials​

Optional manual configuration of AWS credentials to use. More information can be found in this document.

Type: object

credentials.profile​

A profile from ~/.aws/credentials to use.

Type: string

credentials.id​

The ID of credentials to use.

Type: string

credentials.secret​

The secret for the credentials being used.

Secret

This field contains sensitive information. Use a secret reference rather than a literal value.

Type: string

credentials.token​

The token for the credentials being used, required when using short term credentials.

Secret

This field contains sensitive information. Use a secret reference rather than a literal value.

Type: string

credentials.from_ec2_role​

Use the credentials of a host EC2 machine configured to assume an IAM role associated with the instance.

Type: bool

credentials.role​

A role ARN to assume.

Type: string

credentials.role_external_id​

An external ID to provide when assuming a role.

Type: string

model​

The model ID to use. For a full list see the AWS Bedrock documentation.

Type: string

prompt​

The prompt you want to generate a response for. By default, the processor submits the entire payload as a string.

Type: string

system_prompt​

The system prompt to submit to the AWS Bedrock LLM.

Type: string

max_tokens​

The maximum number of tokens to allow in the generated response.

Type: int

temperature​

The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.

Type: float

stop​

A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.

Type: array of string

top_p​

The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.

Type: float