Groq

The LPU Inference Engine by Groq is a hardware and software platform that delivers exceptional compute speed, quality, and energy efficiency.

Categories: artificial-intelligence

Type: groq/v1

---

Connections

Version: 1

Bearer Token

Properties

Name	Label	Type	Description	Required
token	Token	STRING		true

---

Actions

Ask

Name: ask

Ask anything you want.

Properties

Name	Label	Type	Description	Required
model	Model	STRING	ID of the model to use.	true
messages	Messages	ARRAY Items [{STRING(role), STRING(content), [FILE_ENTRY](attachments)}]	A list of messages comprising the conversation so far.	true
response	Response	OBJECT Properties {STRING(responseFormat), STRING(responseSchema)}	The response from the API.	false
maxTokens	Max Tokens	INTEGER	The maximum number of tokens to generate in the chat completion.	null
n	Number of Chat Completion Choices	INTEGER	How many chat completion choices to generate for each input message.	null
temperature	Temperature	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	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
frequencyPenalty	Frequency Penalty	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 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
logitBias	Logit Bias	OBJECT Properties {}	Modify the likelihood of specified tokens appearing in the completion.	null
stop	Stop	ARRAY Items [STRING]	Up to 4 sequences where the API will stop generating further tokens.	null
user	User	STRING	A unique identifier representing your end-user, which can help admins to monitor and detect abuse.	false

Example JSON Structure

{
  "label" : "Ask",
  "name" : "ask",
  "parameters" : {
    "model" : "",
    "messages" : [ {
      "role" : "",
      "content" : "",
      "attachments" : [ {
        "extension" : "",
        "mimeType" : "",
        "name" : "",
        "url" : ""
      } ]
    } ],
    "response" : {
      "responseFormat" : "",
      "responseSchema" : ""
    },
    "maxTokens" : 1,
    "n" : 1,
    "temperature" : 0.0,
    "topP" : 0.0,
    "frequencyPenalty" : 0.0,
    "presencePenalty" : 0.0,
    "logitBias" : { },
    "stop" : [ "" ],
    "user" : ""
  },
  "type" : "groq/v1/ask"
}

Output

The output for this action is dynamic and may vary depending on the input parameters. To determine the exact structure of the output, you need to execute the action.