Create Chat Completion with Groq Cloud API

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Create Chat Completion with the Groq Cloud API

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Getting Started#

Create a workflow to Create Chat Completion with the Groq Cloud API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Create Chat Completion action
1. Connect your Groq Cloud account
2. Optional- Configure Name
3. Configure Content
4. Select a Author Role
5. Select a Model
6. Optional- Configure Seed
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Create Chat Completion with Groq Cloud API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + Groq Cloud

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Create Chat Completion with Groq Cloud API on New Submission from Typeform API

Typeform + Groq Cloud

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Create Chat Completion with Groq Cloud API on New Submission (Instant) from Jotform API

Jotform + Groq Cloud

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Create Chat Completion with Groq Cloud API on New Scheduled Tasks from Pipedream API

Pipedream + Groq Cloud

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Create Chat Completion with Groq Cloud API on npm Download Counts from npm API

npm + Groq Cloud

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Create Chat Completion on Groq Cloud

Description:Creates a model response for the given chat conversation. [See the documentation](https://console.groq.com/docs/api-reference#chat-create)

Version:0.0.1

Key:groqcloud-create-chat-completion

View on GitHub

Code#

import app from "../../groqcloud.app.mjs";

export default {
  key: "groqcloud-create-chat-completion",
  name: "Create Chat Completion",
  description: "Creates a model response for the given chat conversation. [See the documentation](https://console.groq.com/docs/api-reference#chat-create)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    name: {
      propDefinition: [
        app,
        "name",
      ],
    },
    content: {
      propDefinition: [
        app,
        "content",
      ],
    },
    role: {
      propDefinition: [
        app,
        "role",
      ],
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    seed: {
      propDefinition: [
        app,
        "seed",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.app.createChatCompletion({
      $,
      data: {
        messages: [
          {
            name: this.name,
            role: this.role,
            content: this.content,
          },
        ],
        model: this.model,
        seed: this.seed,
      },
    });

    $.export("$summary", `Successfully generated a response with the ID '${response.id}'`);

    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Groq Cloud	`app`	`app`	This component uses the Groq Cloud app.
Name	`name`	`string`	An optional name for the participant. Provides the model information to differentiate between participants of the same role
Content	`content`	`string`	The contents of the message
Author Role	`role`	`string`	Select a value from the drop down menu:`usersystemassistanttool`
Model	`model`	`string`	Select a value from the drop down menu.
Seed	`seed`	`integer`	If specified, repeated requests with the same seed and parameters will return the same result