Groq

The Groq component is an AI component that allows users to connect the AI models served on GroqCloud. It can carry out the following tasks:

#Release Stage

Alpha

#Configuration

The component configuration is defined and maintained here.

#Setup

FieldField IDTypeNote
API Keyapi-keystringFill in your GroqCloud API key. To find your keys, visit the GroqCloud API Keys page.

#Supported Tasks

#Text Generation Chat

Provide text outputs in response to text inputs.

InputIDTypeDescription
Task ID (required)taskstringTASK_TEXT_GENERATION_CHAT
Model (required)modelstringThe OSS model to be used
Prompt (required)promptstringThe prompt text
System messagesystem-messagestringThe system message helps set the behavior of the assistant. For example, you can modify the personality of the assistant or provide specific instructions about how it should behave throughout the conversation. By default, the model’s behavior is set using a generic message as "You are a helpful assistant."
Prompt Imagesprompt-imagesarray[string]The prompt images (Note: Only a subset of OSS models support image inputs)
Chat historychat-historyarray[object]Incorporate external chat history, specifically previous messages within the conversation. Please note that System Message will be ignored and will not have any effect when this field is populated. Each message should adhere to the format: : {"role": "The message role, i.e. 'system', 'user' or 'assistant'", "content": "message content"}
SeedseedintegerThe seed
TemperaturetemperaturenumberThe temperature for sampling
Top Ktop-kintegerInteger to define the top tokens considered within the sample operation to create new text
Max new tokensmax-new-tokensintegerThe maximum number of tokens for model to generate
Top Ptop-pnumberFloat to define the tokens that are within the sample operation of text generation. Add tokens in the sample for more probable to least probable until the sum of the probabilities is greater than top-p (default=0.5)
UseruserstringThe user name passed to GroqPlatform
OutputIDTypeDescription
TexttextstringModel Output
Usage (optional)usageobjectToken usage on the GroqCloud platform text generation models

#Example Recipes

Recipe for the Groq Interview Helper pipeline.


version: v1beta
component:
groq-0:
type: groq
task: TASK_TEXT_GENERATION_CHAT
input:
max-new-tokens: 300
model: llama3-groq-70b-8192-tool-use-preview
prompt: |-
Rewrite this experience using the STAR (Situation, Task, Action, Result) method for a resume or CV:
${variable.experience}
system-message: You are a helpful resume assistant.
temperature: 0.05
top-k: 10
top-p: 0.5
user: instill-ai
setup:
api-key: ${secret.INSTILL_SECRET}
variable:
experience:
title: experience
description: describe your work experience
instill-format: string
instill-ui-multiline: true
output:
resume_format:
title: resume_format
value: ${groq-0.output.text}