Anthropic Claude on AWS Chat Completions

Overview

You can use this Snap to generate chat completions with the specified Anthropic Claude model and model parameters.


Anthropic Claude on AWS Chat Completions Overview

Prerequisites

None.

Limitations and known issues

None.

Snap views

View Description Examples of upstream and downstream Snaps
Input This Snap supports a maximum of one binary or document input view. When the input type is a document, you must provide a field to specify the path to the input prompt. The Snap requires a prompt, which can be generated either by the Amazon Bedrock Prompt Generator or any user-desired prompt intended for submission to the Anthropic Claude Text Completions API. Mapper
Output This Snap has at the most one document output view. The Snap provides the result generated by the Anthropic Claude Text Completions API. Mapper
Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab. The available options are:

  • Stop Pipeline Execution Stops the current pipeline execution when an error occurs.
  • Discard Error Data and Continue Ignores the error, discards that record, and continues with the remaining records.
  • Route Error Data to Error View Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.

Snap settings

Legend:
  • Suggestion icon (): Indicates a list that is dynamically populated based on the configuration.
  • Expression icon (): Indicates whether the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.
  • Add icon (Plus Icon): Indicates that you can add fields in the field set.
  • Remove icon (Minus Icon): Indicates that you can remove fields from the field set.
Field / field set Type Description
Label String

Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if more than one of the same Snaps is in the pipeline.

Default value: Anthropic Claude on AWS Chat Completions

Example: Create customer support chatbots
Model name String/Expression/Suggestion

Required. Specify the model name to use for the chat completion. Learn more about the list of Anthropic Claude models from AWS Bedrock that are compatible with the Text Completions API.

Default value: N/A

Example: anthropic.claude-v2
Prompt String/Expression

Appears when you select Document as the Input type.

Required. Specify the prompt to send to the chat completions endpoint as the user message.

Default value: N/A

Example: $msg
Model parameters Configure the parameters to tune the model runtime.
Maximum tokens Integer/Expression

Required. Specify the maximum number of tokens to generate in the chat completion.

Default value: 200

Example: 100
Temperature Decimal/Expression

Specify the sampling temperature to use a decimal value between 0 and 1. If left blank, the endpoint uses its default value set to 0.5.

Default value: N/A

Example: 0.2
Top P Decimal/Expression

Specify the nucleus sampling value, a decimal value between 0 and 1. If left blank, the endpoint uses its default value set to 1.

Default value: N/A

Example: 0.2
Top K Integer/Expression

Specify a value to limit the number of high-probability tokens considered for each generation step to control the randomness of the output. If left blank, the endpoint uses its default value set to 250.

Minimum value: 0

Maximum value: 500

Default value: N/A

Example: 300
Stop sequences String/Expression

Specify a sequence of texts or tokens to stop the model from generating further output. Learn more.

Default value: N/A

Example: pay, ["amazing"], ["September", "paycheck"]
Advanced response configurations Configure the response settings to customize the responses and optimize output processing.
Continuation requests Checkbox/Expression

Select this checkbox to enable continuation requests. When selected, the Snap automatically requests additional responses if the finish reason is Maximum tokens Maximum tokens.

The following example represents the format of the output when you select the Continuation requests checkbox:
{
  "type": "completion",
  "completion": <response1> + <response2> + ... <response n>,
  "stop_reason": <stop_reason from latest response>,
  "stop": <stop from latest response>,
  
  // When debug mode is enabled
  "_sl_responses": [<raw response1>, <raw response2>, ... ,<raw response n>]
}
Important: This field does not support upstream values.

Default status: Deselected
Continuation requests limit Integer/Expression

Appears when you select Continuation requests checkbox.

Required. Specify the maximum number of continuation requests to be made.

Important: This field does not support upstream values.

Minimum value: 1

Maximum value: 20

Default value: N/A

Example: 3
Debug mode Checkbox

Appears when you select Continuation requests checkbox.

Select this checkbox to enable debug mode. This mode provides the raw response in the _sl_response field and is recommended for debugging purposes only.

Important: This field does not support upstream values.

Default status: Deselected
Snap execution Dropdown list
Select one of the three modes in which the Snap executes. Available options are:
  • Validate & Execute: Performs limited execution of the Snap and generates a data preview during pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during pipeline runtime.
  • Execute only: Performs full execution of the Snap during pipeline execution without generating preview data.
  • Disabled: Disables the Snap and all Snaps that are downstream from it.

Default value: Validate & Execute

Example: Execute only

Troubleshooting

Continuation requests limit error.

The Continuation requests limit value is invalid.

Provide a valid value for Continuation requests limit that is between 1-20.

Examples