Groqcloud integration overview

Overview

GroqCloud provides ultra-low latency access to popular open-source language and multimodal models running on Groq’s LPU acceleration hardware. With the Persona integration, you can invoke GroqCloud models directly from Workflows to generate analyses, summarize evidence, or produce structured outputs that enrich reviews and automate downstream actions.

This integration helps Risk, Operations, and Product teams standardize decisions, reduce manual review time, and keep investigations flowing by bringing fast, reliable model outputs into Persona.

Benefits

Speed at Scale: Tap GroqCloud’s low-latency models to deliver near-instant results within Persona workflows—keeping reviewers unblocked and SLAs on track.

Consistent Decisions: Use prompts and structured outputs to standardize how text is summarized, classified, or transformed across cases and queues.

Structured Data: Generate machine-readable JSON that can be mapped into fields, used in conditions, or logged for audit—all within Workflows.

Fewer Tool Switches: Keep reviewers in Persona by triggering GroqCloud actions automatically based on identity events or case updates.

Integration Features

The GroqCloud integration enables teams to run AI reasoning steps directly within Persona. Key capabilities include:

• Generate Chat Completion: Send system and user messages to a selected GroqCloud model and receive a response to inform next steps.
• Structured Output (JSON): For supported models, enforce JSON Schema to ensure predictable, machine-validated outputs.
• Model Choice: Select from GroqCloud-hosted model variants based on your use case, response quality needs, and latency preferences.
• Flexible Prompting: Provide system instructions and user content to steer summarization, classification, extraction, or transformation tasks.

Setting up the GroqCloud Integration

Prerequisites

To set up the GroqCloud integration, ensure you have:

• Admin access to your GroqCloud account
• Necessary API permissions to access GroqCloud credentials

Setting up the GroqCloud Credentials

1. In the Persona Dashboard, go to Integrations > Marketplace and select GroqCloud.
2. Click Add Credential.
3. Enter a credential nickname and your GroqCloud API key from the Groq console.
4. Click Continue to save the credential, then click Test to confirm it’s working. You can remove the credential at any time.

Using the GroqCloud Integration in a Workflow

1. Create a new workflow (or open an existing one).
2. Add an Action step and choose Integrations.
3. Select GroqCloud and pick your saved credentials.
4. Choose the operation (e.g., Generate Chat Completion).
5. Configure the model and messages, optionally enable structured output, and map the response into Persona fields or use it in subsequent workflow logic.
6. Save and publish the workflow.

GroqCloud Operations Overview

In addition to syncing field values, Persona can generate AI responses, extract structured data, and classify or summarize text using GroqCloud’s API. These actions support seamless two-way workflows, letting teams manage investigations without switching platforms.

See below for a comprehensive list of available Workflow Action steps and possible configurations for the GroqCloud integration:

Generate Chat Completion

Send a sequence of system and user messages to a selected model and receive a completion that you can use to summarize evidence, classify risk, or transform text. You can optionally request structured outputs using JSON Schema with supported models, enabling predictable, machine-validated responses that map cleanly into Persona fields and conditions.

Configuration Steps:

• Provide values for required fields:
  • Model: Choose a GroqCloud model appropriate for your task (for example, general-purpose reasoning or fast classification).
  • Messages: Provide one or more messages. At least one message must include a role and content.
• Optionally add:
  • Response Format: Choose Text for free-form output, or JSON Schema for structured responses. Note that JSON Schema is supported only by select “llama-4” models as indicated in GroqCloud documentation.
  • System Instructions: Add a system message to set behavior (e.g., “Summarize the following activity and return a risk label.”).
  • Participant Name: Optionally label a message participant to add clarity in multi-turn prompts.

FAQs

Which models can I use with this integration?

You can select from GroqCloud-hosted models exposed in the integration. Examples include versatile language models and certain “llama-4” variants that support structured JSON output. Refer to GroqCloud’s model documentation for the latest available options and guidance on selection.

How do I get structured JSON output?

Choose the JSON response option and provide a JSON Schema when configuring the action. Structured output is supported for specific “llama-4” models noted in GroqCloud documentation. The schema should define the fields you expect (for example, labels, reasons, and confidence scores) so responses are validated and machine-readable.

What fields are required to run a chat completion?

You must select a model and provide at least one message that includes a role and content. System and user messages are supported; user content typically contains the text or context you want the model to analyze.