Groq Debug Bundle

SkillDev tools

'Collect Groq debug evidence for support tickets and troubleshooting.

Use Groq Debug Bundle in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Groq Debug Bundle and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Groq Debug Bundle skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Groq Debug BundleStart free

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/groq-debug-bundle/SKILL.md and read by Ahel’s review.

Current State

!node --version 2>/dev/null || echo 'N/A' !python3 --version 2>/dev/null || echo 'N/A' !npm list groq-sdk 2>/dev/null | grep groq-sdk || echo 'groq-sdk not installed'

Overview

Collect all diagnostic information needed to resolve Groq API issues. Produces a redacted support bundle (a .tar.gz) with environment info, SDK version, connectivity test results, rate limit headers, per-model latency, and redacted application logs — everything a Groq support engineer needs, with secrets masked before the archive is written.

Prerequisites

  • GROQ_API_KEY set in environment
  • curl and jq available
  • Access to application logs (optional — the log step is skipped if logs/ is absent)

Instructions

The bundle is assembled by a six-step shell script. Each step appends to a file inside a timestamped $BUNDLE_DIR; the final step tars it and deletes the working copy. Run the steps in order in one shell, or paste the whole sequence into a script.

  1. Environment — capture OS, Node/Python versions, installed Groq SDK versions, and a masked key fingerprint (length + 4-char prefix only, never the key).
  2. Connectivity — hit GET /openai/v1/models to confirm auth and count available models.
  3. Rate limits — send a 1-token completion and grab the x-ratelimit-*, retry-after, and x-request-id response headers.
  4. Latency — time a minimal completion against each model of interest.
  5. Log extraction — grep recent Groq/429/rate-limit errors from logs/*.log and mask any gsk_ keys and .env values.
  6. Package — tar -czf the directory, remove the working copy, and print a review reminder.

The skeleton of Step 1 (the rest is in the full walkthrough):

#!/bin/bash
set -euo pipefail
BUNDLE_DIR="groq-debug-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$BUNDLE_DIR"
# ... append environment, connectivity, rate-limits, latency, logs ...

See references/implementation.md for the complete, copy-pasteable six-step script.

Output

A single archive named groq-debug-TIMESTAMP.tar.gz (where TIMESTAMP is YYYYMMDD-HHMMSS) containing:

FilePurposeSensitive?
environment.txtNode/Python versions, SDK version, key fingerprintKey prefix only
connectivity.txtAPI reachability, model countNo
rate-limits.txtCurrent rate limit headersNo
latency.txtResponse times per modelNo
app-logs.txtRecent error logs (redacted)Redacted
config-redacted.txtConfig keys only (values masked)Redacted

The TypeScript diagnostic (see Examples) instead prints a JSON report with auth, modelsAvailable, completion, latencyMs, model, and usage.

Error Handling

  • GROQ_API_KEY unset — environment.txt records NOT SET and every curl step returns 401; export the key before collecting.
  • 401 Invalid API Key — the key is wrong or revoked; the bundle still captures the failure, which is the evidence support needs.
  • jq: command not found — install jq, or the connectivity/model-count lines will be empty (the rest of the bundle still builds).
  • No logs/ directory — Step 5 is skipped silently; the bundle omits app-logs.txt rather than failing.
  • 429 during latency/rate-limit steps — expected when debugging throttling; the captured retry-after and x-ratelimit-* headers are the point. For deeper 429 handling see groq-rate-limits.

ALWAYS Redact Before Sharing

  • API keys (anything starting with gsk_)
  • Bearer tokens
  • PII (emails, names, IDs)
  • Internal hostnames and IPs

Examples

A quick SDK-based diagnostic that confirms auth, lists models, times a completion, and prints a JSON report:

import Groq from "groq-sdk";
const groq = new Groq();
const models = await groq.models.list();  // 401 here = bad key
console.log(models.data.map((m) => m.id));

Full TypeScript diagnostic, healthy/bad-key sample outputs, and an end-to-end shell run with the resulting tarball listing are in references/examples.md.

Resources

Next Steps

For rate limit and 429 throttling issues, escalate to the groq-rate-limits skill, which covers backoff strategy and quota inspection in depth.

Signals

GitHub stars
3k
Forks
415
Last commit
Oct 2026
Advanced
Item type
skill
Key
groq-debug-bundle
Source
github.com/jeremylongshore/tons-of-skills-marketplace