Instructions to use Tayrrr/KaliSupport with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Tayrrr/KaliSupport with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Tayrrr/KaliSupport:Q6_K # Run inference directly in the terminal: llama cli -hf Tayrrr/KaliSupport:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Tayrrr/KaliSupport:Q6_K # Run inference directly in the terminal: llama cli -hf Tayrrr/KaliSupport:Q6_K
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Tayrrr/KaliSupport:Q6_K # Run inference directly in the terminal: ./build/bin/llama cli -hf Tayrrr/KaliSupport:Q6_K
Use Docker
docker model run hf.co/Tayrrr/KaliSupport:Q6_K
- Llama new
- LM Studio
- Jan
- Ollama
How to use Tayrrr/KaliSupport with Ollama:
ollama run hf.co/Tayrrr/KaliSupport:Q6_K
- Unsloth Desktop
- Pi
How to use Tayrrr/KaliSupport with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Tayrrr/KaliSupport:Q6_K
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Tayrrr/KaliSupport:Q6_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Tayrrr/KaliSupport with Docker Model Runner:
docker model run hf.co/Tayrrr/KaliSupport:Q6_K
- Lemonade
How to use Tayrrr/KaliSupport with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Tayrrr/KaliSupport:Q6_K
Run and chat with the model
lemonade run user.KaliSupport-Q6_K
List all available models
lemonade list
- Hermes Agent
How to use Tayrrr/KaliSupport with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Tayrrr/KaliSupport:Q6_K
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Tayrrr/KaliSupport:Q6_K
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Tayrrr/KaliSupport with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Tayrrr/KaliSupport:Q6_K
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Tayrrr/KaliSupport:Q6_K" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 8,084 Bytes
7ea1cf8 | 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 | """Oturum bazli yapilandirilmis log altyapisi.
Tasarim
-------
* Her ajan calismasi yeni bir oturumdur ve `logs/session-YYYYMMDD-HHMMSS.jsonl`
dosyasina yazilir. Her satir tek bir olaydir (JSONL).
* Olay tipleri:
- "info" / "warn" / "error" : serbest mesajlar
- "command" : SSH uzerinden calistirilan komutun tam sonucu
- "model" : modelden donen icerik (thought / response)
- "tool_call" : ajanin cagirdigi tool ve argumanlari
- "session_start" / "session_end"
* Konsola insan-okur formatta (kisaltilmis), dosyaya tam icerik gider.
* Thread-safe (basit Lock); ileride paralel komut calistirma istersek hazir.
Kullanim
--------
log = SessionLogger.create()
log.info("ajan basladi")
log.command(result) # CommandResult dogrudan loglanir
log.tool_call("run_cmd", {"cmd": "nmap -sV ..."})
log.model("nmap baslatiyorum...")
log.close()
veya context manager:
with SessionLogger.create() as log:
...
"""
from __future__ import annotations
import json
import sys
import threading
from dataclasses import asdict, is_dataclass
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Optional
from config import LOGS_DIR
# ANSI renk kodlari (PowerShell + Windows Terminal modern surumlerde calisir)
_C_RESET = "\033[0m"
_C_DIM = "\033[2m"
_C_RED = "\033[31m"
_C_GREEN = "\033[32m"
_C_YELLOW = "\033[33m"
_C_BLUE = "\033[34m"
_C_MAGENTA = "\033[35m"
_C_CYAN = "\033[36m"
_LEVEL_COLORS: dict[str, str] = {
"info": _C_CYAN,
"warn": _C_YELLOW,
"error": _C_RED,
"command": _C_GREEN,
"model": _C_MAGENTA,
"tool_call": _C_BLUE,
"session_start": _C_DIM,
"session_end": _C_DIM,
}
def _utc_now_iso() -> str:
return datetime.now(timezone.utc).isoformat(timespec="milliseconds")
def _short(text: str, n: int = 240) -> str:
"""Konsol icin tek satira indir + kirp."""
if not text:
return ""
flat = text.replace("\n", " | ").strip()
return flat if len(flat) <= n else flat[: n - 3] + "..."
def _safe_json(value: Any) -> Any:
"""JSON'a cevrilebilir hale getir (dataclass / Path / set destekler)."""
if value is None or isinstance(value, (str, int, float, bool)):
return value
if is_dataclass(value):
return _safe_json(asdict(value))
if isinstance(value, dict):
return {str(k): _safe_json(v) for k, v in value.items()}
if isinstance(value, (list, tuple, set)):
return [_safe_json(v) for v in value]
if isinstance(value, Path):
return str(value)
return repr(value)
class SessionLogger:
"""Tek oturumluk JSONL + konsol logger'i."""
def __init__(
self,
path: Path,
session_id: str,
*,
echo_to_console: bool = True,
) -> None:
self.path = path
self.session_id = session_id
self.echo = echo_to_console
self._lock = threading.Lock()
# line buffering ki kill edilse bile son olaylar diske yazilmis olsun
self._fp = path.open("a", encoding="utf-8", buffering=1)
self.event(
"session_start",
session_id=session_id,
log_path=str(path),
)
# --- yapilandirma --------------------------------------------------
@classmethod
def create(
cls,
*,
log_dir: Optional[Path] = None,
echo_to_console: bool = True,
) -> "SessionLogger":
log_dir = log_dir or LOGS_DIR
log_dir.mkdir(parents=True, exist_ok=True)
sid = datetime.now().strftime("%Y%m%d-%H%M%S")
path = log_dir / f"session-{sid}.jsonl"
return cls(path=path, session_id=sid, echo_to_console=echo_to_console)
# --- yasam dongusu --------------------------------------------------
def __enter__(self) -> "SessionLogger":
return self
def __exit__(self, exc_type, exc, tb) -> None:
if exc_type is not None:
self.error(f"oturum istisna ile kapaniyor: {exc_type.__name__}: {exc}")
self.close()
def close(self) -> None:
if self._fp.closed:
return
try:
self.event("session_end", session_id=self.session_id)
finally:
self._fp.close()
# --- ana API --------------------------------------------------------
def event(self, event_type: str, **fields: Any) -> None:
record = {
"ts": _utc_now_iso(),
"session": self.session_id,
"type": event_type,
**{k: _safe_json(v) for k, v in fields.items()},
}
line = json.dumps(record, ensure_ascii=False)
with self._lock:
if not self._fp.closed:
self._fp.write(line + "\n")
if self.echo:
self._echo(event_type, fields)
def info(self, msg: str, **extra: Any) -> None:
self.event("info", message=msg, **extra)
def warn(self, msg: str, **extra: Any) -> None:
self.event("warn", message=msg, **extra)
def error(self, msg: str, **extra: Any) -> None:
self.event("error", message=msg, **extra)
def model(self, content: str, *, role: str = "assistant", **extra: Any) -> None:
"""Modelden donen icerigi logla (thought + response)."""
self.event("model", role=role, content=content, **extra)
def tool_call(self, name: str, args: dict[str, Any], **extra: Any) -> None:
self.event("tool_call", name=name, args=args, **extra)
def command(self, result: Any) -> None:
"""CommandResult'i (ssh_client) dogrudan logla."""
# Geri dongusel import olmasin diye duck-typing yapiyoruz.
self.event(
"command",
command=getattr(result, "command", None),
exit_code=getattr(result, "exit_code", None),
duration_s=round(float(getattr(result, "duration_s", 0.0)), 3),
stdout=getattr(result, "stdout", ""),
stderr=getattr(result, "stderr", ""),
)
# --- konsol formatlama ---------------------------------------------
def _echo(self, event_type: str, fields: dict[str, Any]) -> None:
color = _LEVEL_COLORS.get(event_type, "")
ts = datetime.now().strftime("%H:%M:%S")
prefix = f"{_C_DIM}{ts}{_C_RESET} {color}{event_type:>13}{_C_RESET}"
if event_type == "command":
cmd = _short(str(fields.get("command", "")), 120)
ec = fields.get("exit_code")
dur = fields.get("duration_s")
tag = _C_GREEN if ec == 0 else _C_RED
print(f"{prefix} {tag}exit={ec}{_C_RESET} {dur}s $ {cmd}")
stdout = _short(str(fields.get("stdout", "")), 200)
stderr = _short(str(fields.get("stderr", "")), 200)
if stdout:
print(f" {_C_DIM}stdout:{_C_RESET} {stdout}")
if stderr:
print(f" {_C_RED}stderr:{_C_RESET} {stderr}")
return
if event_type == "tool_call":
name = fields.get("name")
args = _short(json.dumps(_safe_json(fields.get("args", {})), ensure_ascii=False), 200)
print(f"{prefix} {name}({args})")
return
if event_type == "model":
role = fields.get("role", "assistant")
content = _short(str(fields.get("content", "")), 280)
print(f"{prefix} [{role}] {content}")
return
# info / warn / error / session_*
msg = fields.get("message") or fields.get("session_id") or ""
extras = {k: v for k, v in fields.items() if k not in {"message", "session_id"}}
extras_str = f" {_C_DIM}{extras}{_C_RESET}" if extras else ""
print(f"{prefix} {_short(str(msg), 280)}{extras_str}", file=sys.stderr if event_type == "error" else sys.stdout)
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