GroqCloud Automation

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Summary

Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio

SKILL.md

GroqCloud Automation

Automate AI inference workflows using GroqCloud's ultra-fast API -- chat completions, model discovery, audio translation, and TTS voice selection -- all orchestrated through the Composio MCP integration.

Toolkit docs: composio.dev/toolkits/groqcloud

Setup

Connect your GroqCloud account through the Composio MCP server at https://rube.app/mcp
The agent will prompt you with an authentication link if no active connection exists
Once connected, all GROQCLOUD_* tools become available for execution

Core Workflows

1. Discover Available Models

List all models available on GroqCloud to find valid model IDs before running inference.

Tool: GROQCLOUD_LIST_MODELS

No parameters required -- returns all available models with metadata.

Use this as a prerequisite before any chat completion call to ensure you reference a valid, non-deprecated model ID.

2. Run Chat Completions

Generate AI responses for conversational prompts using a specified GroqCloud model.

Tool: GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION

Parameter	Type	Required	Description
`model`	string	Yes	Model ID from `GROQCLOUD_LIST_MODELS`
`messages`	array	Yes	Ordered list of `{role, content}` objects (`system`, `user`, `assistant`)

Parameter	Type	Required	Description
`model`	string	Yes	Model identifier (e.g., `groq-1-large`)

Parameter	Type	Required	Description
`file_path`	string	Yes	Local path, HTTP(S) URL, or base64 data URL for audio
`model`	string	No	Model ID (default: `whisper-large-v3`). Note: `whisper-large-v3-turbo` may not support translations
`response_format`	string	No	`json`, `verbose_json`, or `text` (default: `json`)
`temperature`	number	No	Sampling temperature 0-1 (default: 0)

Returns the set of supported TTS voices. Note: this is a static list maintained manually.

Pitfall	Details
Nested model list	`GROQCLOUD_LIST_MODELS` response may be nested at `response['data']['data']` -- do not assume a flat top-level array
Hard-coded model IDs break	Always fetch model IDs dynamically via `GROQCLOUD_LIST_MODELS`; hard-coded names can break when models are deprecated or renamed
Audio format validation	`GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION` rejects invalid or unsupported audio formats silently -- validate inputs before calling
Model metadata drifts	Data from `GROQCLOUD_GROQ_RETRIEVE_MODEL` (context window, features) can change as models update -- do not treat it as static
TTS voice changes	Voice sets from `GROQCLOUD_LIST_VOICES` may shrink or rename over time -- handle missing voices gracefully

Tool Slug	Purpose
`GROQCLOUD_LIST_MODELS`	List all available models and metadata
`GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION`	Generate chat-based AI completions
`GROQCLOUD_GROQ_RETRIEVE_MODEL`	Get detailed info for a specific model
`GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION`	Translate non-English audio to English text
`GROQCLOUD_LIST_VOICES`	Retrieve available TTS voices for PlayAI

GroqCloud Automation

Summary

SKILL.md

GroqCloud Automation

Setup

Core Workflows

1. Discover Available Models

2. Run Chat Completions

3. Inspect Model Details

4. Translate Audio to English

5. List TTS Voices

Known Pitfalls

Quick Reference

Related skills