Text Generation
Transformers
Safetensors
qwen2
coder
code
agent
conversational
text-generation-inference
Instructions to use AdminReal/NexusCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdminReal/NexusCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AdminReal/NexusCoder") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AdminReal/NexusCoder") model = AutoModelForCausalLM.from_pretrained("AdminReal/NexusCoder", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AdminReal/NexusCoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AdminReal/NexusCoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AdminReal/NexusCoder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AdminReal/NexusCoder
- SGLang
How to use AdminReal/NexusCoder with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "AdminReal/NexusCoder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AdminReal/NexusCoder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "AdminReal/NexusCoder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AdminReal/NexusCoder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use AdminReal/NexusCoder with Docker Model Runner:
docker model run hf.co/AdminReal/NexusCoder
File size: 7,091 Bytes
eca5751 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 | """
API Key Validator Tool - Xác thực API keys của các service phổ biến.
===========================================
Tool validate API keys cho Stripe, AWS, GitHub, OpenAI, Google bằng
regex patterns + checksum validation.
Author: Hieu Louis (2026)
"""
from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from .base import Tool, ToolResult, ToolContext, ToolCategory, ToolSafety
# ---- Định nghĩa patterns / Pattern definitions ---------------------------
# Mỗi pattern: name, regex, checksum_fn (optional), description.
# Patterns không phân biệt chữ hoa chữ thường trừ khi cần thiết.
def _aws_checksum(key: str) -> bool:
"""AWS Access Key ID dùng base32 (RFC 4648) — kiểm tra length và charset."""
if len(key) != 20 or not key.startswith("AKIA"):
return False
# Kiểm tra charset base32 / validate base32 charset
return bool(re.match(r"^[A-Z0-9]+$", key))
def _stripe_luhn(s: str) -> bool:
"""Stripe key dùng Luhn check trên phần số sau prefix."""
digits = re.sub(r"[^0-9]", "", s)
if len(digits) < 16:
return True # Stripe key có thể không phải Luhn hoàn chỉnh → skip
# Luhn algorithm
total = 0
reverse = digits[::-1]
for i, ch in enumerate(reverse):
n = int(ch)
if i % 2 == 1:
n *= 2
if n > 9:
n -= 9
total += n
return total % 10 == 0
SERVICES: Dict[str, Dict[str, Any]] = {
"stripe": {
"patterns": [
(r"^sk_live_[A-Za-z0-9]{24,}$", "Stripe Secret Live Key"),
(r"^sk_test_[A-Za-z0-9]{24,}$", "Stripe Secret Test Key"),
(r"^pk_live_[A-Za-z0-9]{24,}$", "Stripe Publishable Live Key"),
(r"^pk_test_[A-Za-z0-9]{24,}$", "Stripe Publishable Test Key"),
(r"^rk_live_[A-Za-z0-9]{24,}$", "Stripe Restricted Live Key"),
(r"^whsec_[A-Za-z0-9]{24,}$", "Stripe Webhook Signing Secret"),
],
"checksum": _stripe_luhn,
},
"aws": {
"patterns": [
(r"^AKIA[0-9A-Z]{16}$", "AWS Access Key ID"),
(r"^ASIA[0-9A-Z]{16}$", "AWS STS Temporary Access Key"),
(r"^[A-Za-z0-9/+=]{40}$", "AWS Secret Access Key (40 chars base64)"),
],
"checksum": _aws_checksum,
},
"github": {
"patterns": [
(r"^ghp_[A-Za-z0-9]{36,}$", "GitHub Personal Access Token (classic)"),
(r"^github_pat_[A-Za-z0-9_]{22,}_[A-Za-z0-9]{59}$", "GitHub Fine-grained PAT"),
(r"^gho_[A-Za-z0-9]{36,}$", "GitHub OAuth Token"),
(r"^ghs_[A-Za-z0-9]{36,}$", "GitHub App Server Token"),
(r"^ghu_[A-Za-z0-9]{36,}$", "GitHub User-to-Server Token"),
(r"^[A-Za-z0-9]{40}$", "GitHub Legacy Token (40 hex)"),
],
"checksum": None,
},
"openai": {
"patterns": [
(r"^sk-[A-Za-z0-9]{20,}$", "OpenAI API Key"),
(r"^sk-proj-[A-Za-z0-9_-]{40,}$", "OpenAI Project API Key"),
(r"^sk-_[A-Za-z0-9]{40,}$", "OpenAI Service Account Key"),
],
"checksum": None,
},
"google": {
"patterns": [
(r"^AIza[0-9A-Za-z_-]{35}$", "Google API Key"),
(r"^ya29\.[0-9A-Za-z_-]+$", "Google OAuth Access Token"),
(r"^[0-9]+-[A-Za-z0-9_]{40,}@developer\.gserviceaccount\.com$", "Google Service Account Email"),
(r"^projects/[0-9]+/apiKeys/[A-Za-z0-9_-]+$", "Google Cloud API Key resource path"),
],
"checksum": None,
},
}
class APIKeyValidatorTool(Tool):
"""Validate API keys cho Stripe, AWS, GitHub, OpenAI, Google."""
category = ToolCategory.SECURITY
safety = ToolSafety.SAFE
@property
def name(self) -> str:
return "api_key_validator"
@property
def description(self) -> str:
return "Validate API keys (Stripe, AWS, GitHub, OpenAI, Google) bằng regex + checksum."
@property
def parameters(self) -> Dict[str, Any]:
return {
"type": "object",
"properties": {
"key": {"type": "string", "description": "API key cần validate"},
"service": {
"type": "string",
"enum": sorted(list(SERVICES.keys()) + ["auto"]),
"default": "auto",
"description": "Service cụ thể hoặc 'auto' để auto-detect",
},
},
"required": ["key"],
}
def validate_args(self, args: Dict[str, Any]) -> Optional[str]:
if not args.get("key"):
return "Missing required arg: key"
service = args.get("service", "auto")
if service != "auto" and service not in SERVICES:
return f"Unknown service: {service}. Supported: {sorted(list(SERVICES.keys()) + ['auto'])}"
return None
def _check_one(self, key: str, service: str) -> Dict[str, Any]:
"""Kiểm tra key cho một service cụ thể."""
spec = SERVICES[service]
matches: List[str] = []
for pattern, label in spec["patterns"]:
if re.match(pattern, key):
matches.append(label)
checksum_ok = True
if matches and spec.get("checksum"):
checksum_ok = bool(spec["checksum"](key))
return {
"service": service,
"valid": bool(matches) and checksum_ok,
"matched_patterns": matches,
"checksum_passed": checksum_ok,
}
def execute(self, args: Dict[str, Any], context: ToolContext) -> ToolResult:
key = args["key"]
service = args.get("service", "auto")
# An toàn: không bao giờ in full key / never log full key
masked = key[:8] + "..." + key[-4:] if len(key) > 12 else "***"
if service != "auto":
result = self._check_one(key, service)
return ToolResult(
success=result["valid"],
output=f"Key {masked}: {'VALID' if result['valid'] else 'INVALID'} cho {service}",
error=None if result["valid"] else f"No pattern matched cho {service}",
metadata={**result, "masked_key": masked},
)
# Auto-detect: thử tất cả services / try all services
results = []
for svc in SERVICES:
results.append(self._check_one(key, svc))
any_valid = any(r["valid"] for r in results)
matched_services = [r["service"] for r in results if r["valid"]]
return ToolResult(
success=any_valid,
output=(
f"Key {masked}: VALID cho {', '.join(matched_services)}"
if any_valid
else f"Key {masked}: INVALID — không match bất kỳ service nào"
),
error=None if any_valid else "No service pattern matched",
metadata={
"masked_key": masked,
"matched_services": matched_services,
"details": results,
},
)
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