Make your agent configure itself.

You are being set up to use a free LLM API as your model backend.

Provider:     Groq
Base URL:     https://api.groq.com/openai/v1
Model:        llama-3.3-70b-versatile
Auth:         Bearer token (OpenAI-compatible)
Key env var:  GROQ_API_KEY
Temperature:  0.7
Max tokens:   4096

Task:
1. Configure Claude Code to call the endpoint above using the OpenAI Chat Completions format.
2. Read the API key from the GROQ_API_KEY environment variable. Do NOT
   ask me to paste the key in plain text in this chat — I will set it in my env.
3. If a setting requires a base URL, use exactly: https://api.groq.com/openai/v1
4. Send one short test message ("ping") and report back whether the call
   succeeded, including the model name and latency.
5. Prefer step-by-step reasoning for complex tasks; keep simple answers concise.

If anything is missing (e.g. an account ID for the base URL), ask me for just
that value and nothing else.

# settings.json "env" block, or your shell:
ANTHROPIC_BASE_URL=https://api.groq.com/openai/v1
ANTHROPIC_AUTH_TOKEN=<YOUR_API_KEY>
ANTHROPIC_MODEL=llama-3.3-70b-versatile

# Claude Code speaks the Anthropic Messages API. Use an Anthropic-compatible
# endpoint, or an OpenAI→Anthropic proxy in front of Groq.