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aws_bedrock_chat

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

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.

  • Common

  • Advanced

processor:
  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)
processor:
  label: ""
  aws_bedrock_chat:
    region: "" # No default (optional)
    endpoint: "" # No default (optional)
    tcp:
      connect_timeout: 0s
      keep_alive:
        idle: 15s
        interval: 15s
        count: 9
      tcp_user_timeout: 0s
    credentials:
      profile: "" # No default (optional)
      id: "" # No default (optional)
      secret: "" # No default (optional)
      token: "" # No default (optional)
      from_ec2_role: false # No default (optional)
      role: "" # No default (optional)
      role_external_id: "" # No default (optional)
    model: "" # No default (required)
    prompt: "" # No default (optional)
    system_prompt: "" # No default (optional)
    max_tokens: 0 # No default (optional)
    temperature: 0 # No default (optional)
    stop: [] # No default (optional)
    top_p: 0 # No default (optional)

Fields

credentials

Manually configure the AWS credentials to use (optional). For more information, see the Amazon Web Services guide.

Type: object

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.id

The ID of the AWS credentials to use.

Type: string

credentials.profile

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

Type: string

credentials.role

The ARN of the role to assume.

Type: string

credentials.role_external_id

An external ID to use when assuming a role.

Type: string

credentials.secret

The secret for the AWS credentials in use.

This field contains sensitive information that usually shouldn’t be added to a configuration directly. For more information, see Manage Secrets before adding it to your configuration.

Type: string

credentials.token

The token for the AWS credentials in use. Required only when using short-term credentials.

Type: string

endpoint

A custom endpoint URL for AWS API requests. Use this to connect to AWS-compatible services or local testing environments instead of the standard AWS endpoints.

Type: string

max_tokens

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

Type: int

model

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

Type: string

# Examples:
model: amazon.titan-text-express-v1

# ---

model: anthropic.claude-3-5-sonnet-20240620-v1:0

# ---

model: cohere.command-text-v14

# ---

model: meta.llama3-1-70b-instruct-v1:0

# ---

model: mistral.mistral-large-2402-v1:0

prompt

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

This field supports interpolation functions.

Type: string

region

The AWS region in which your resources are hosted.

Type: string

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<string>

system_prompt

The system prompt to submit along with the user prompt.

This field supports interpolation functions.

Type: string

tcp

Configure TCP socket-level settings to optimize network performance and reliability. These low-level controls are useful for:

  • Unresponsive hosts: Set connect_timeout to limit how long a connection attempt can take (the default 0s sets no limit)

  • Long-lived connections: Configure keep_alive settings to detect and recover from stale connections

  • Unstable networks: Tune keep-alive probes to balance between quick failure detection and avoiding false positives

  • Linux systems with specific requirements: Use tcp_user_timeout (Linux 2.6.37+) to control data acknowledgment timeouts

Most users should keep the default values. Only modify these settings if you’re experiencing connection stability issues or have specific network requirements.

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.count

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

Type: int

Default: 9

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.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

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. A higher value makes the model more likely to choose lower-probability options.

Type: float

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