sunnyware / scripts /probe_nvidia.py
shamiur's picture
Part 32: add probe_nvidia.py + document NVIDIA NIM pending verification
5024202
Raw History Blame Contribute Delete
3.18 kB
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2026 Shamiur Rashid Sunny
# SPDX-License-Identifier: AGPL-3.0-only
"""Probe NVIDIA NIM to verify API key + discover tool-calling models.
Usage:
export NVIDIA_API_KEY=nvapi-...
python scripts/probe_nvidia.py
"""
import os
import sys
import httpx
BASE = "https://integrate.api.nvidia.com/v1"
def main():
key = os.getenv("NVIDIA_API_KEY", "").strip()
if not key:
print("ERROR: NVIDIA_API_KEY not set")
print("Run: export NVIDIA_API_KEY=nvapi-...")
return 1
print("=" * 60)
print(" NVIDIA NIM Probe")
print("=" * 60)
print()
print("[1] Fetching model list...")
try:
r = httpx.get(
BASE + "/models",
headers={"Authorization": "Bearer " + key},
timeout=15.0,
)
except Exception as e:
print(" FAIL: " + type(e).__name__ + ": " + str(e))
return 1
print(" HTTP " + str(r.status_code))
if r.status_code != 200:
print(" Body: " + r.text[:400])
return 1
try:
data = r.json()
models = [m.get("id") for m in data.get("data", [])]
except Exception as e:
print(" FAIL to parse: " + str(e))
return 1
print(" Total models: " + str(len(models)))
print()
print("[2] Tool-calling candidates:")
known = [
"meta/llama-4-maverick-17b-128e-instruct",
"meta/llama-4-scout-17b-16e-instruct",
"mistralai/mistral-small-3.2-24b-instruct-2506",
"nvidia/llama-3.1-nemotron-70b-instruct",
"meta/llama-3.3-70b-instruct",
"meta/llama-3.1-70b-instruct",
]
found = []
for k in known:
if k in models:
found.append(k)
print(" [OK] " + k)
else:
print(" [MISSING] " + k)
print()
if found:
print("[3] Recommended first: " + found[0])
else:
print("[3] No known tool-calling model present in your account.")
print(" Check https://build.nvidia.com/models")
print()
if found:
print("[4] Test completion with " + found[0] + "...")
try:
r = httpx.post(
BASE + "/chat/completions",
headers={
"Authorization": "Bearer " + key,
"Content-Type": "application/json",
},
json={
"model": found[0],
"messages": [{"role": "user", "content": "Say hi in one word."}],
"max_tokens": 30,
},
timeout=30.0,
)
print(" HTTP " + str(r.status_code))
if r.status_code == 200:
d = r.json()
content = d["choices"][0]["message"].get("content", "")
print(" Response: " + content[:100])
else:
print(" Body: " + r.text[:400])
except Exception as e:
print(" FAIL: " + type(e).__name__ + ": " + str(e))
print()
print("=" * 60)
print(" Done.")
return 0
if __name__ == "__main__":
sys.exit(main())