Groq
Run ultra-fast LLM inference with Groq's LPU hardware.
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Connect
Auth type: API key (secret_text). Paste the API key (or token) from the provider's settings into the connect dialog. It is encrypted at rest and only decrypted on the server when an action runs.
- In the editor: Backend panel, Integrations tab, then Connect. This connects it for the project.
- For every project in a workspace: Workspace settings, Integrations.
- Owners and admins choose which integrations members may connect in the admin panel (Integrations tab), and can attach their own OAuth app there.
Call it from a workflow
Pass the action name and its input. The call resolves with { success, output, error? }; a missing connection resolves with success false and the reason. See ctx.integrations.invoke and ctx.integrations.call.
// .workflow.js (native ctx)
export async function run(ctx) {
const res = await ctx.integrations.invoke("groq", "ask-ai", {
"model": "<model>",
"prompt": "<question>",
"maxTokens": 1
});
if (!res.success) throw new Error(res.error);
ctx.log.info("Groq answered", { output: res.output });
}// defineWorkflow module (@app/sdk ctx)
import { defineWorkflow } from "@app/sdk";
export default defineWorkflow({
id: "groq-ask-ai",
name: "Groq: Ask AI",
description: "Calls Groq when a row is created.",
trigger: { type: "entity_event", entity: "tickets", event: "created" },
async run(ctx, event) {
const res = await ctx.integrations.call("groq", {
"action": "ask-ai",
"model": "<model>",
"prompt": "<question>",
"maxTokens": 1
}) as { success: boolean; error?: string };
if (!res.success) throw new Error(res.error);
},
});curl -X POST "$APP_ORIGIN/__appbricx/connector-proxy/groq/ask-ai" \
-H "Authorization: Bearer $APP_KEY" \
-H "content-type: application/json" \
-d '{"props":{"model":"<model>","prompt":"<question>","maxTokens":1}}'Actions
ask-aiin catalog
Ask AI. Ask Groq anything using fast language models.
| Input | Type | Description |
|---|---|---|
modelrequired | id (picked from your account) | The model which will generate the completion. |
promptrequired | long text | Question |
temperatureoptional | number | Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. |
maxTokensrequired | number | The maximum number of tokens to generate. The total length of input tokens and generated tokens is limited by the model's context length. |
topPoptional | 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 … |
frequencyPenaltyoptional | 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. |
presencePenaltyoptional | 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. |
memoryKeyoptional | text | A memory key that will keep the chat history shared across runs and flows. Keep it empty to leave Groq without memory of previous messages. |
rolesoptional | JSON | Array of roles to specify more accurate response |
transcribe-audioin catalog
Transcribe Audio. Transcribes audio into text in the input language.
| Input | Type | Description |
|---|---|---|
filerequired | file | The audio file to transcribe. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm. |
modelrequired | id (picked from your account) | The model to use for transcription. |
languageoptional | text | The language of the input audio in ISO-639-1 format (e.g., "en" for English). This will improve accuracy and latency. |
promptoptional | long text | An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language. |
temperatureoptional | number | The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. |
responseFormatoptional | one of "json" | "text" | "verbose_json" | The format of the transcript output. |
translate-audioin catalog
Translate Audio. Translates audio into English text.
| Input | Type | Description |
|---|---|---|
filerequired | file | The audio file to translate. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm. |
modelrequired | id (picked from your account) | The model to use for translation. |
promptoptional | long text | An optional text in English to guide the model's style or continue a previous audio segment. |
temperatureoptional | number | The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. |
responseFormatoptional | one of "json" | "text" | "verbose_json" | The format of the translation output. |
custom_api_call
Custom API Call. Make a custom API call to a specific endpoint
| Input | Type | Description |
|---|---|---|
urlrequired | object (depends on other props) | url |
methodrequired | one of "GET" | "POST" | "PATCH" | "PUT" | "DELETE" | "HEAD" | Method |
headersrequired | object | Authorization headers are injected automatically from your connection. |
queryParamsrequired | object | Query Parameters |
body_typeoptional | one of "none" | "json" | "form_data" | "raw" | Body Type |
bodyoptional | object (depends on other props) | Body |
response_is_binaryoptional | boolean | Enable for files like PDFs, images, etc. |
failsafeoptional | boolean | No Error on Failure |
timeoutoptional | number | Timeout (in seconds) |
followRedirectsoptional | boolean | Follow redirects |
Details
- Id
groq- Category
- AI and ML
- Tags
- ai, groq, llm, fast-inference
- Package
@activepieces/piece-groq@0.2.4- Tier
- Built in