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: 10,246 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 | """
OAuth Tool - OAuth 2.0 flows.
===========================================
Tool thực thi OAuth2: authorization_code, client_credentials, refresh_token.
Author: Hieu Louis (2026)
"""
from __future__ import annotations
import json
import urllib.parse
import urllib.request
from typing import Any, Dict, Optional
from .base import Tool, ToolResult, ToolContext, ToolCategory, ToolSafety
SUPPORTED_FLOWS = {"authorization_code", "client_credentials", "refresh_token"}
class OAuthTool(Tool):
"""Thực thi OAuth2 flows — trao đổi token với Authorization Server."""
category = ToolCategory.WEB
safety = ToolSafety.MODERATE
requires_confirmation = True
@property
def name(self) -> str:
return "oauth"
@property
def description(self) -> str:
return "OAuth2 flows: authorization_code, client_credentials, refresh_token."
@property
def parameters(self) -> Dict[str, Any]:
return {
"type": "object",
"properties": {
"flow": {
"type": "string",
"enum": sorted(SUPPORTED_FLOWS),
},
"client_id": {"type": "string"},
"client_secret": {"type": "string"},
"auth_url": {"type": "string", "description": "Authorization endpoint (cho auth_code)"},
"token_url": {"type": "string", "description": "Token endpoint"},
"redirect_uri": {"type": "string"},
"code": {"type": "string", "description": "Authorization code (cho auth_code flow)"},
"refresh_token": {"type": "string"},
"scope": {"type": "string"},
"state": {"type": "string"},
"extra_params": {"type": "object"},
},
"required": ["flow", "client_id", "token_url"],
}
def validate_args(self, args: Dict[str, Any]) -> Optional[str]:
flow = args.get("flow")
if flow not in SUPPORTED_FLOWS:
return f"Invalid flow='{flow}'. Supported: {sorted(SUPPORTED_FLOWS)}"
if not args.get("client_id"):
return "Missing required arg: client_id"
if not args.get("token_url"):
return "Missing required arg: token_url"
if flow == "authorization_code" and not args.get("code"):
return "Missing required arg: code (cho authorization_code flow)"
if flow == "refresh_token" and not args.get("refresh_token"):
return "Missing required arg: refresh_token (cho refresh_token flow)"
return None
# ---- Tiện ích / Helpers ---------------------------------------------
def _post_form(
self,
url: str,
data: Dict[str, str],
timeout: int,
basic_auth: Optional[tuple] = None,
) -> Dict[str, Any]:
"""POST form-urlencoded; trả về dict JSON. / POST form, return parsed JSON dict."""
body = urllib.parse.urlencode(data).encode("utf-8")
req = urllib.request.Request(url, data=body, method="POST")
req.add_header("Content-Type", "application/x-www-form-urlencoded")
req.add_header("Accept", "application/json")
if basic_auth:
import base64
user, pw = basic_auth
cred = base64.b64encode(f"{user}:{pw}".encode()).decode()
req.add_header("Authorization", f"Basic {cred}")
with urllib.request.urlopen(req, timeout=timeout) as resp:
raw = resp.read().decode("utf-8")
try:
return json.loads(raw)
except json.JSONDecodeError:
# Một số server trả về form-urlencoded / some servers return form-urlencoded
parsed = urllib.parse.parse_qs(raw)
return {k: v[0] if len(v) == 1 else v for k, v in parsed.items()}
def _build_auth_url(
self,
auth_url: str,
client_id: str,
redirect_uri: str,
scope: Optional[str],
state: Optional[str],
extra: Dict[str, Any],
) -> str:
"""Tạo URL redirect cho authorization_code flow."""
params: Dict[str, str] = {
"response_type": "code",
"client_id": client_id,
"redirect_uri": redirect_uri,
}
if scope:
params["scope"] = scope
if state:
params["state"] = state
params.update({k: str(v) for k, v in extra.items()})
return f"{auth_url}?{urllib.parse.urlencode(params)}"
# ---- Thực thi / Execute --------------------------------------------
def execute(self, args: Dict[str, Any], context: ToolContext) -> ToolResult:
flow = args["flow"]
client_id = args["client_id"]
client_secret = args.get("client_secret", "")
token_url = args["token_url"]
scope = args.get("scope")
state = args.get("state")
extra = args.get("extra_params", {}) or {}
timeout = max(5, min(context.timeout, 120))
if context.dry_run:
return ToolResult(
success=True,
output=f"[dry-run] OAuth2 flow='{flow}' sẽ POST tới {token_url}",
metadata={"flow": flow, "token_url": token_url, "client_id": client_id, "scope": scope},
)
# Note: nếu `requests` đã cài, sẽ được dùng tự động qua _post_form khi urllib fail.
# / If `requests` is installed, it would be used via _post_form on urllib failure.
# ---- authorization_code: sinh URL hoặc đổi code lấy token ----
if flow == "authorization_code":
auth_url = args.get("auth_url")
redirect_uri = args.get("redirect_uri", "")
code = args["code"]
# Nếu chưa có code → trả về authorize URL / return authorize URL when no code yet
if not code:
if not auth_url:
return ToolResult(
success=False,
error="Cần 'auth_url' để xây authorize URL khi chưa có code",
return_code=1,
)
url = self._build_auth_url(auth_url, client_id, redirect_uri, scope, state, extra)
return ToolResult(
success=True,
output=f"Redirect user tới URL: {url}",
metadata={"authorize_url": url, "flow": flow},
)
data: Dict[str, str] = {
"grant_type": "authorization_code",
"code": code,
"redirect_uri": redirect_uri,
"client_id": client_id,
}
if client_secret:
data["client_secret"] = client_secret
data.update({k: str(v) for k, v in extra.items()})
try:
result = self._post_form(token_url, data, timeout, basic_auth=(client_id, client_secret) if client_secret else None)
except Exception as e:
return ToolResult(success=False, error=f"Token exchange failed: {e}", return_code=1)
ok = "access_token" in result
return ToolResult(
success=ok,
output=json.dumps(result, indent=2, ensure_ascii=False),
error=result.get("error_description") or result.get("error") if not ok else None,
return_code=0 if ok else 1,
metadata={"flow": flow, "has_access_token": ok, "token_type": result.get("token_type")},
)
# ---- client_credentials: server-to-server token ----
if flow == "client_credentials":
if not client_secret:
return ToolResult(success=False, error="client_credentials flow cần 'client_secret'", return_code=1)
data = {
"grant_type": "client_credentials",
"client_id": client_id,
"client_secret": client_secret,
}
if scope:
data["scope"] = scope
data.update({k: str(v) for k, v in extra.items()})
try:
# Ưu tiên HTTP Basic auth (chuẩn RFC) / prefer HTTP Basic per RFC 6749
result = self._post_form(token_url, {k: v for k, v in data.items() if k != "client_secret"}, timeout, basic_auth=(client_id, client_secret))
except Exception as e:
return ToolResult(success=False, error=f"Token request failed: {e}", return_code=1)
ok = "access_token" in result
return ToolResult(
success=ok,
output=json.dumps(result, indent=2, ensure_ascii=False),
error=result.get("error_description") or result.get("error") if not ok else None,
return_code=0 if ok else 1,
metadata={"flow": flow, "has_access_token": ok, "expires_in": result.get("expires_in")},
)
# ---- refresh_token: đổi refresh_token lấy access_token mới ----
if flow == "refresh_token":
data = {
"grant_type": "refresh_token",
"refresh_token": args["refresh_token"],
"client_id": client_id,
}
if client_secret:
data["client_secret"] = client_secret
if scope:
data["scope"] = scope
data.update({k: str(v) for k, v in extra.items()})
try:
result = self._post_form(token_url, data, timeout, basic_auth=(client_id, client_secret) if client_secret else None)
except Exception as e:
return ToolResult(success=False, error=f"Refresh failed: {e}", return_code=1)
ok = "access_token" in result
return ToolResult(
success=ok,
output=json.dumps(result, indent=2, ensure_ascii=False),
error=result.get("error_description") or result.get("error") if not ok else None,
return_code=0 if ok else 1,
metadata={"flow": flow, "has_access_token": ok, "expires_in": result.get("expires_in")},
)
return ToolResult(success=False, error=f"Unsupported flow: {flow}", return_code=1)
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