GroqCloud Automation

Apps & Automation

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

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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`)
`temperature`	number	No	Sampling temperature 0-2 (default: 1)
`max_completion_tokens`	integer	No	Max tokens to generate
`top_p`	number	No	Nucleus sampling 0-1 (default: 1)
`stop`	string/array	No	Up to 4 stop sequences
`stream`	boolean	No	Enable SSE streaming (default: false)

3. Inspect Model Details

Retrieve detailed metadata for a specific model including context window and capabilities.

Tool: GROQCLOUD_GROQ_RETRIEVE_MODEL

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

4. Translate Audio to English

Translate non-English audio files into English text using Whisper models.

Tool: GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION

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)

5. List TTS Voices

Enumerate available text-to-speech voices for Groq PlayAI models to drive voice selection UX.

Tool: GROQCLOUD_LIST_VOICES

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

Known Pitfalls

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

Quick Reference

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