Groq integration
Ultra-fast AI inference platform optimized for speed and efficiency. Access leading open-source models with exceptional response times through custom LPU hardware. Features include function calling, structured outputs, streaming, text-to-speech, speech-to-text, and batch processing for building responsive AI applications requiring minimal latency.
Common Groq use cases
- file management
- batch management
- batch monitoring
- batch preparation
- capability check
- file cleanup
- batch results
- error recovery
- real-time chat
- bulk processing
What you can do with Groq
Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.
Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.
File, 5 operations
- DELETEdelete_file
Deletes a file. Remove an uploaded file from your Groq organization.
- GETdownload_file
Downloads file content. Retrieve the actual content of an uploaded or batch output file.
- GETget_file
Gets file details. Retrieve metadata and information about a specific uploaded file.
- GETlist_files
Lists all uploaded files. View files available for batch processing and other operations.
- POSTupload_file
Uploads a file to Groq. Upload JSONL files for use with batch processing.
Batch, 4 operations
- POSTcancel_batch
Cancels a batch job. Stop a running batch processing job before completion.
- POSTcreate_batch
Creates a batch job. Process multiple API requests asynchronously from an uploaded JSONL file.
- GETget_batch
Gets batch job details. Check the status, progress, and results of a batch processing job.
- GETlist_batches
Lists all batch jobs. View all batch processing jobs and their statuses.
Audio, 3 operations
- POSTaudio_speech
Generates speech audio from text with Groq. Convert text to natural-sounding speech using Orpheus TTS models.
- POSTaudio_transcriptions
Transcribes audio to text with Groq. Convert speech to text using Whisper with ultra-fast processing speed.
- POSTaudio_translations
Translates audio to English text. Transcribe and translate non-English audio to English in one step.
Model, 2 operations
- GETget_model
Gets model details. Retrieve specific model information including capabilities and metadata.
- GETlist_models
Lists available Groq models. View all accessible models including Llama, GPT-OSS, Qwen, Whisper, and Orpheus.
Chat, 1 operation
- POSTchat_completions
Creates ultra-fast chat completions with Groq. Get AI responses with sub-second latency using LPU inference technology.
Use Groq from Claude Code, Cursor or Codex
Connect Groq in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Groq operations become tools the client can call, next to every other integration you connected.
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"
[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"{
"mcpServers": {
"livecontext": {
"type": "http",
"url": "https://livecontext.ai/mcp",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}How to connect Groq
Create your workspace
Sign up free. Nothing to install.
Connect Groq once
Add your Groq connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.
Groq integration FAQ
- What can you do with the Groq integration?
- LiveContext exposes 15 operations on Groq, covering file, batch, audio and model. Common uses include file management, batch management and batch monitoring.
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