Amazon Bedrock

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies.

Categories: artificial-intelligence

Type: amazonBedrock/v1

Connections

Version: 1

null

Properties

Name	Label	Type	Control Type	Required
accessKey	Access Key ID	STRING	TEXT	true
secretKey	Secret Access Key	STRING	TEXT	true
region		STRING Options us-east-1, us-west-2, ap-south-1, ap-southeast-1, ap-southeast-2, ap-northeast-1, ca-central-1, eu-central-1, eu-west-1, eu-west-2, eu-west-3, sa-east-1	SELECT	true

Actions

Ask Anthropic3

Name: askAnthropic3

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING Options anthropic.claude-instant-v1, anthropic.claude-v2, anthropic.claude-v2:1	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null
topK	Top K	INTEGER	INTEGER	Specify the number of token choices the generative uses to generate the next token.	null
stop	Stop	ARRAY Items [STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.	null

JSON Example

{
  "label" : "Ask Anthropic3",
  "name" : "askAnthropic3",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "maxTokens" : 1,
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "temperature" : 0.0,
    "topP" : 0.0,
    "topK" : 1,
    "stop" : [ "" ]
  },
  "type" : "amazonBedrock/v1/askAnthropic3"
}

Ask Anthropic2

Name: askAnthropic2

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING Options anthropic.claude-instant-v1, anthropic.claude-v2, anthropic.claude-v2:1	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null
topK	Top K	INTEGER	INTEGER	Specify the number of token choices the generative uses to generate the next token.	null
stop	Stop	ARRAY Items [STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.	null

JSON Example

{
  "label" : "Ask Anthropic2",
  "name" : "askAnthropic2",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "maxTokens" : 1,
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "temperature" : 0.0,
    "topP" : 0.0,
    "topK" : 1,
    "stop" : [ "" ]
  },
  "type" : "amazonBedrock/v1/askAnthropic2"
}

Ask Cohere

Name: askCohere

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING Options cohere.command-light-text-v14, cohere.command-text-v14	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	null
n	Number of Chat Completion Choices	INTEGER	INTEGER	How many chat completion choices to generate for each input message.	null
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null
topK	Top K	INTEGER	INTEGER	Specify the number of token choices the generative uses to generate the next token.	null
stop	Stop	ARRAY Items [STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.	null
logitBias	Logit Bias	OBJECT Properties {STRING(biasToken), NUMBER(biasValue)}	OBJECT_BUILDER	Modify the likelihood of a specified token appearing in the completion.	null
returnLikelihoods	Return Likelihoods	STRING Options ALL, GENERATION, NONE	SELECT	The token likelihoods are returned with the response.	null
truncate	Truncate	STRING Options END, NONE, START	SELECT	Specifies how the API handles inputs longer than the maximum token length	null

JSON Example

{
  "label" : "Ask Cohere",
  "name" : "askCohere",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "maxTokens" : 1,
    "n" : 1,
    "temperature" : 0.0,
    "topP" : 0.0,
    "topK" : 1,
    "stop" : [ "" ],
    "logitBias" : {
      "biasToken" : "",
      "biasValue" : 0.0
    },
    "returnLikelihoods" : "",
    "truncate" : ""
  },
  "type" : "amazonBedrock/v1/askCohere"
}

Ask Jurassic2

Name: askJurassic2

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
truncate	Min Tokens	INTEGER	INTEGER	The minimum number of tokens to generate in the chat completion.	null
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	null
prompt	Prompt	STRING	TEXT	The text which the model is requested to continue.	null
n	Number of Chat Completion Choices	INTEGER	INTEGER	How many chat completion choices to generate for each input message.	null
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null
topK	Top K	INTEGER	INTEGER	Specify the number of token choices the generative uses to generate the next token.	null
frequencyPenalty	Frequency Penalty	NUMBER	NUMBER	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim.	null
presencePenalty	Presence Penalty	NUMBER	NUMBER	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.	null
stop	Stop	ARRAY Items [STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.	null
countPenalty	Count Penalty	NUMBER	NUMBER	Penalty object for count.	null

JSON Example

{
  "label" : "Ask Jurassic2",
  "name" : "askJurassic2",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "truncate" : 1,
    "maxTokens" : 1,
    "prompt" : "",
    "n" : 1,
    "temperature" : 0.0,
    "topP" : 0.0,
    "topK" : 1,
    "frequencyPenalty" : 0.0,
    "presencePenalty" : 0.0,
    "stop" : [ "" ],
    "countPenalty" : 0.0
  },
  "type" : "amazonBedrock/v1/askJurassic2"
}

Ask Llama

Name: askLlama

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING Options meta.llama2-13b-chat-v1, meta.llama2-70b-chat-v1, meta.llama3-1-405b-instruct-v1:0, meta.llama3-1-70b-instruct-v1:0, meta.llama3-1-8b-instruct-v1:0, meta.llama3-2-11b-instruct-v1:0, meta.llama3-2-1b-instruct-v1:0, meta.llama3-2-3b-instruct-v1:0, meta.llama3-2-90b-instruct-v1:0, meta.llama3-70b-instruct-v1:0, meta.llama3-8b-instruct-v1:0	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	null
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null

JSON Example

{
  "label" : "Ask Llama",
  "name" : "askLlama",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "maxTokens" : 1,
    "temperature" : 0.0,
    "topP" : 0.0
  },
  "type" : "amazonBedrock/v1/askLlama"
}

Ask Titan

Name: askTitan

Ask anything you want.

Properties

Name	Label	Type	Control Type	Description	Required
model	Model	STRING Options amazon.titan-text-express-v1, amazon.titan-text-lite-v1, amazon.titan-text-premier-v1:0	SELECT	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	OBJECT_BUILDER	The response from the API.	false
maxTokens	Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.	null
temperature	Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.	null
topP	Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	null
stop	Stop	ARRAY Items [STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.	null

JSON Example

{
  "label" : "Ask Titan",
  "name" : "askTitan",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "maxTokens" : 1,
    "temperature" : 0.0,
    "topP" : 0.0,
    "stop" : [ "" ]
  },
  "type" : "amazonBedrock/v1/askTitan"
}