Text Generation
GGUF
English
Arabic
code
gemma2
google
mantiq
logic
arabic
epistemology
reasoning
chain-of-thought
aynengine
conversational
Instructions to use enver/ayncoding-gemma2-2b 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 enver/ayncoding-gemma2-2b 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 enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: llama cli -hf enver/ayncoding-gemma2-2b
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./llama-cli -hf enver/ayncoding-gemma2-2b
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf enver/ayncoding-gemma2-2b # Run inference directly in the terminal: ./build/bin/llama-cli -hf enver/ayncoding-gemma2-2b
Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- LM Studio
- Jan
- vLLM
How to use enver/ayncoding-gemma2-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "enver/ayncoding-gemma2-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "enver/ayncoding-gemma2-2b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/enver/ayncoding-gemma2-2b
- Ollama
How to use enver/ayncoding-gemma2-2b with Ollama:
ollama run hf.co/enver/ayncoding-gemma2-2b
- Unsloth Desktop
- Docker Model Runner
How to use enver/ayncoding-gemma2-2b with Docker Model Runner:
docker model run hf.co/enver/ayncoding-gemma2-2b
- Lemonade
How to use enver/ayncoding-gemma2-2b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull enver/ayncoding-gemma2-2b
Run and chat with the model
lemonade run user.ayncoding-gemma2-2b-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 21,912 Bytes
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"""
ayncode
AynEngine AI Coding Edition (v2.0) - Sovereign CLI Developer Tool
Guided by the 5 Classical Arabic Lexicographical & Grammatical Pillars:
1. Al-MufradΔt (al-RΔghib) -> Ontological Domain Modeling & Teleology
2. AsΔs al-BalΔghah (al-ZamakhsharΔ«) -> Idiomatic Eloquence & Abstraction Integrity
3. LisΔn al-ΚΏArab (Ibn ManαΊΕ«r) -> Exhaustive Error Taxonomy & State-Space
4. KitΔb al-ΚΏAyn (al-FarΔhΔ«dΔ«) -> Atomic Primitive Decomposition
5. Al-KitΔb (SΔ«bawayh) -> Syntactic Governance & AST Integrity
"""
import os
import sys
import argparse
from pathlib import Path
# Add repo root to path
script_path = Path(__file__).resolve()
BASE_DIR = script_path.parent if (script_path.parent / "core").exists() else script_path.parent.parent
sys.path.insert(0, str(BASE_DIR))
from core.coding_engine import AynCodingEngine
from core.mantiq_engine import AynMantiqEngine
from core.mantiq_dataset_generator import AynMantiqDatasetGenerator
from core.mantiq_purifier import AynMantiqPurifier
# ANSI Color formatting
BOLD = "\033[1m"
RESET = "\033[0m"
GREEN = "\033[32m"
CYAN = "\033[36m"
YELLOW = "\033[33m"
MAGENTA = "\033[35m"
RED = "\033[31m"
BANNER = f"""{CYAN}{BOLD}
ββββββ βββ βββββββ βββ βββββββ βββββββ βββββββ ββββββββ
ββββββββββββ βββββββββ ββββββββββββββββββββββββββββββββββββ
ββββββββ βββββββ ββββββ ββββββ βββ ββββββ βββββββββ
ββββββββ βββββ βββββββββββββ βββ ββββββ βββββββββ
βββ βββ βββ βββ βββββββββββββββββββββββββββββββββββββββ
βββ βββ βββ βββ βββββ βββββββ βββββββ βββββββ ββββββββ
{RESET}{BOLD}ποΈ AynEngine AI Coding Edition (v2.0): Sovereign 5-Pillar Epistemic Engine{RESET}
"""
def print_banner():
print(BANNER)
def cmd_gen(args, engine: AynCodingEngine):
prompt = args.prompt
lang = args.language.lower()
output_path = Path(args.output) if args.output else None
print(f"\n{CYAN}β‘ Synthesizing code grounded in 5-Pillar Epistemic Apparatus...{RESET}")
print(f"Target Language: {BOLD}{lang.upper()}{RESET} | Mode: {BOLD}Zero-Loss Sovereign{RESET}\n")
res = engine.synthesize(prompt=prompt, language=lang)
print(f"\n{GREEN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}")
print(f"{GREEN}{BOLD}β
SYNTHESIS COMPLETE in {res['duration_seconds']}s | Syntax Valid: {res['syntax_valid']}{RESET}")
print(f"{GREEN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}\n")
if res.get("mantiq_reasoning") and not args.code_only:
print(f"{MAGENTA}{BOLD}ποΈ AYN-ENGINE CLASSICAL MANαΉ¬IQ & MORPHOLOGY REASONING:{RESET}")
print(f"{MAGENTA}{res['mantiq_reasoning']}{RESET}\n")
print(f"{CYAN}{'β'*80}{RESET}\n")
if args.code_only:
print(res["code"])
else:
print(res["raw_output"])
if output_path:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(res["code"], encoding="utf-8")
print(f"\n{GREEN}πΎ Code saved to {output_path.resolve()}{RESET}")
def cmd_audit(args, engine: AynCodingEngine):
target = Path(args.target)
if not target.exists():
print(f"{RED}β Error: File or path not found: {target}{RESET}")
sys.exit(1)
files_to_audit = []
if target.is_file():
files_to_audit.append(target)
else:
for ext in ["*.py", "*.ts", "*.js", "*.rs", "*.go", "*.c", "*.cpp", "*.sql", "*.sh"]:
files_to_audit.extend(list(target.rglob(ext)))
if not files_to_audit:
print(f"{YELLOW}β οΈ No source files found to audit in {target}{RESET}")
return
print(f"\n{CYAN}π Auditing {len(files_to_audit)} file(s) under 5-Pillar Epistemic Lens (Remote LLM)...{RESET}\n")
for fpath in files_to_audit:
print(f"{BOLD}π Auditing `{fpath.relative_to(Path.cwd()) if fpath.is_relative_to(Path.cwd()) else fpath}`...{RESET}")
code = fpath.read_text(encoding="utf-8", errors="ignore")
lang = args.language or fpath.suffix.lstrip('.') or "text"
res = engine.audit(code=code, language=lang, filename=fpath.name)
print(f"\n{res['audit_report']}\n")
print(f"{CYAN}{'β'*80}{RESET}\n")
def cmd_audit_local(args, engine: AynCodingEngine):
target = Path(args.target)
if not target.exists():
print(f"{RED}β Error: File or path not found: {target}{RESET}")
sys.exit(1)
if target.is_file():
files = [target]
elif args.language:
files = list(target.rglob(f"*.{args.language.lstrip('.')}"))
else:
files = []
for ext in ["py", "js", "ts", "rs", "go", "c", "cpp"]:
files.extend(list(target.rglob(f"*.{ext}")))
for fpath in files:
code = fpath.read_text(encoding="utf-8", errors="ignore")
lang = args.language or fpath.suffix.lstrip('.') or "python"
res = engine.audit_local(code=code, language=lang, filename=fpath.name)
score_color = GREEN if res["overall_epistemic_score"] >= 85 else YELLOW if res["overall_epistemic_score"] >= 70 else RED
print(f"\n{CYAN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}")
print(f"{CYAN}{BOLD}β ποΈ AYNENGINE 5-PILLAR EPISTEMIC AUDIT: {fpath.name:<41} β{RESET}")
print(f"{CYAN}{BOLD}β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ£{RESET}")
print(f"β {BOLD}Lines:{RESET} {res['total_lines']:<10} | {BOLD}Score:{RESET} {score_color}{res['overall_epistemic_score']}% ({res['grade']}){RESET} | {BOLD}Syntax Valid:{RESET} {GREEN if res['syntax_valid'] else RED}{res['syntax_valid']}{RESET}")
print(f"{CYAN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ’{RESET}")
print(f"β 1οΈβ£ Al-MufradΔt (Teleology): {BOLD}{res['pillars']['pillar_1_mufradat_teleology']['score']}/10{RESET} -> {res['pillars']['pillar_1_mufradat_teleology']['critique']}")
print(f"β 2οΈβ£ AsΔs al-BalΔghah (Eloquence): {BOLD}{res['pillars']['pillar_2_asas_eloquence']['score']}/10{RESET} -> {res['pillars']['pillar_2_asas_eloquence']['critique']}")
print(f"β 3οΈβ£ LisΔn al-ΚΏArab (Coverage): {BOLD}{res['pillars']['pillar_3_lisan_exhaustiveness']['score']}/10{RESET} -> {res['pillars']['pillar_3_lisan_exhaustiveness']['critique']}")
print(f"β 4οΈβ£ KitΔb al-ΚΏAyn (Primitives): {BOLD}{res['pillars']['pillar_4_ayn_decomposition']['score']}/10{RESET} -> {res['pillars']['pillar_4_ayn_decomposition']['critique']}")
print(f"β 5οΈβ£ Al-KitΔb (Governance): {BOLD}{res['pillars']['pillar_5_sibawayh_governance']['score']}/10{RESET} -> {res['pillars']['pillar_5_sibawayh_governance']['critique']}")
print(f"{CYAN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}\n")
def cmd_benchmark(args, engine: AynCodingEngine):
target = Path(args.target)
if not target.exists():
print(f"{RED}β Error: Path not found: {target}{RESET}")
sys.exit(1)
ext = args.language or "js"
files = [str(target)] if target.is_file() else [str(p) for p in target.rglob(f"*.{ext}")]
if not files:
print(f"{YELLOW}β οΈ No files found matching extension *.{ext} in {target}{RESET}")
return
print(f"\n{CYAN}β‘ Running AynEngine 5-Pillar Epistemic Benchmark on {len(files)} file(s)...{RESET}\n")
bench = engine.benchmark_codebase(file_paths=files, language=args.language or "javascript")
if "error" in bench:
print(f"{RED}β {bench['error']}{RESET}")
return
m_color = GREEN if bench["macro_epistemic_score"] >= 85 else YELLOW if bench["macro_epistemic_score"] >= 70 else RED
print(f"{GREEN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}")
print(f"{BOLD}π BENCHMARK SUMMARY: {len(bench['file_audits'])} Files Audited | Macro Epistemic Score: {m_color}{bench['macro_epistemic_score']}% ({bench['macro_grade']}){RESET}")
print(f"{GREEN}{BOLD}ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ{RESET}")
print(f"β’ Pillar 1 (Teleology & Domain Types): {bench['pillar_averages']['p1_teleology']}/10")
print(f"β’ Pillar 2 (Eloquence & Anti-Leakage): {bench['pillar_averages']['p2_eloquence']}/10")
print(f"β’ Pillar 3 (Error Coverage & States): {bench['pillar_averages']['p3_exhaustiveness']}/10")
print(f"β’ Pillar 4 (Decomposition & Safety): {bench['pillar_averages']['p4_decomposition']}/10")
print(f"β’ Pillar 5 (Governance & Contracts): {bench['pillar_averages']['p5_governance']}/10\n")
print(f"{BOLD}Per-File Breakdown:{RESET}")
for f in bench["file_audits"]:
f_color = GREEN if f["overall_epistemic_score"] >= 85 else YELLOW if f["overall_epistemic_score"] >= 70 else RED
print(f" β’ {f['filename']:<35} : {f_color}{f['overall_epistemic_score']}% ({f['grade']}){RESET}")
def cmd_refactor(args, engine: AynCodingEngine):
target = Path(args.target)
if not target.is_file():
print(f"{RED}β Error: Target must be an existing file: {target}{RESET}")
sys.exit(1)
code = target.read_text(encoding="utf-8", errors="ignore")
lang = args.language or target.suffix.lstrip('.') or "python"
goal = args.goal or "Purify architecture according to 5-Pillar Classical Standard"
print(f"\n{CYAN}π οΈ Refactoring `{target.name}` to 5-Pillar Classical Standard...{RESET}")
print(f"Goal: {goal}\n")
res = engine.refactor(code=code, language=lang, goal=goal)
print(f"\n{GREEN}{BOLD}β
REFACTORING COMPLETE in {res['duration_seconds']}s | Syntax Valid: {res['syntax_valid']}{RESET}\n")
print(res["raw_output"])
if args.in_place:
target.write_text(res["refactored_code"], encoding="utf-8")
print(f"\n{GREEN}πΎ Updated {target.resolve()} in-place.{RESET}")
elif args.output:
out = Path(args.output)
out.write_text(res["refactored_code"], encoding="utf-8")
print(f"\n{GREEN}πΎ Saved refactored code to {out.resolve()}.{RESET}")
def cmd_pillars(args):
print_banner()
print(f"""
{BOLD}The 5 Classical Pillars of AynEngine AI Coding Edition:{RESET}
{GREEN}{BOLD}1. Al-MufradΔt fΔ« GharΔ«b al-QurΚΎΔn (Al-RΔghib al-IαΉ£fahΔnΔ«, d. 502 AH){RESET}
β’ {CYAN}Core Discipline:{RESET} Ontological Domain Modeling & Teleology (GhΔyah).
β’ {CYAN}Coding Rule:{RESET} Every class, type, and function must have a singular, transparent GhΔyah.
Eliminate amorphous generic names ('data', 'manager', 'process').
Pure distinction between ontological essence (immutability) and accidental state.
{GREEN}{BOLD}2. AsΔs al-BalΔghah (Al-ZamakhsharΔ«, d. 538 AH){RESET}
β’ {CYAN}Core Discipline:{RESET} Idiomatic Eloquence (BalΔghah) & Abstraction Integrity (αΈ€aqΔ«qah vs MajΔz).
β’ {CYAN}Coding Rule:{RESET} Distinguish literal machine reality (CPU, IO, allocations) from metaphors (ORMs, proxies).
Zero leaky abstractions (MajΔz Mukhil). Eliminate stuttering boilerplate; write lean, high-impact code.
{GREEN}{BOLD}3. LisΔn al-ΚΏArab (Ibn ManαΊΕ«r, d. 711 AH){RESET}
β’ {CYAN}Core Discipline:{RESET} Exhaustive State-Space, Edge-Case Coverage & Error Taxonomy.
β’ {CYAN}Coding Rule:{RESET} Exhaustive morphological coverage. Zero unhandled match arms, unhandled rejections,
or silent failures. Explicit lifecycle state modeling: Init -> Active -> Degraded -> Closed -> Failed.
{GREEN}{BOLD}4. KitΔb al-ΚΏAyn (Al-FarΔhΔ«dΔ«, d. 175 AH){RESET}
β’ {CYAN}Core Discipline:{RESET} Atomic Primitive Decomposition & Combinatorial Permutations.
β’ {CYAN}Coding Rule:{RESET} Decompose systems into orthogonal, irreducible primitives.
Combinatorial state safety: Make illegal states unrepresentable in the type system.
{GREEN}{BOLD}5. Al-KitΔb (SΔ«bawayh, d. 180 AH){RESET}
β’ {CYAN}Core Discipline:{RESET} Syntactic Governance (ΚΏΔmil/MaΚΏmΕ«l), Strict Typing & AST Integrity.
β’ {CYAN}Coding Rule:{RESET} Strict caller-callee hierarchy (Governor -> Governed -> Mutation).
Zero circular dependencies. Strict static typing, pure data flow, and unambiguous contracts.
""")
def cmd_mantiq_dataset(args):
print_banner()
output_path = Path(args.output) if args.output else BASE_DIR / "data/ayn_mantiq_epistemic_dataset.jsonl"
print(f"{CYAN}ποΈ Synthesizing Epistemic ManαΉiq & Morphology Training Dataset...{RESET}")
generator = AynMantiqDatasetGenerator()
records = generator.build_dataset(output_file=output_path)
print(f"\n{GREEN}{BOLD}β
Dataset Generated Successfully:{RESET} {len(records)} records")
print(f"π Output File: {output_path.resolve()}\n")
for idx, r in enumerate(records, 1):
print(f"{CYAN}[{idx}/{len(records)}] {BOLD}{r['id']}{RESET} (Domain: {r['domain']})")
print(f" Prompt: {r['instruction']}")
print(f" Scratchpad Preview: {r['thought'].splitlines()[1] if len(r['thought'].splitlines()) > 1 else ''}\n")
def cmd_mantiq_audit(args):
print_banner()
target = Path(args.target)
if not target.is_file():
print(f"{RED}β Error: Target must be an existing file: {target}{RESET}")
sys.exit(1)
code = target.read_text(encoding="utf-8", errors="ignore")
print(f"{CYAN}βοΈ Executing Ghazalian ManαΉiq Fallacy Audit on `{target.name}`...{RESET}\n")
engine = AynMantiqEngine()
critique = engine.audit_logic_fallacies(code)
status_icon = f"{GREEN}β
VALID{RESET}" if critique.is_valid else f"{RED}β οΈ FALLACIES DETECTED{RESET}"
print(f"Status: {status_icon}")
print(f"Citation: {critique.axiom_citation}")
if critique.detected_fallacies:
print(f"Detected Fallacies: {', '.join([f.value for f in critique.detected_fallacies])}")
print(f"Remediation: {critique.remediation}\n")
def cmd_purify(args):
print_banner()
target = Path(args.target)
if not target.is_file():
print(f"{RED}β Error: Target must be an existing file: {target}{RESET}")
sys.exit(1)
code = target.read_text(encoding="utf-8", errors="ignore")
print(f"{CYAN}πΏ Purifying `{target.name}` from unlogical artifacts (ManαΉiq & Al-MufradΔt)...{RESET}\n")
report = AynMantiqPurifier.purify_python_code(code)
print(f"{GREEN}{BOLD}β
PURIFICATION COMPLETE:{RESET}")
for j in report.classical_justifications:
print(f" β’ {j}")
print("\n--- Purified Code Preview ---")
print(report.purified_code[:600] + ("..." if len(report.purified_code) > 600 else ""))
if args.in_place:
target.write_text(report.purified_code, encoding="utf-8")
print(f"\n{GREEN}πΎ Updated {target.resolve()} in-place.{RESET}")
elif args.output:
out = Path(args.output)
out.write_text(report.purified_code, encoding="utf-8")
print(f"\n{GREEN}πΎ Saved purified code to {out.resolve()}.{RESET}")
def main():
parser = argparse.ArgumentParser(
description="AynEngine AI Coding Edition: Sovereign 5-Pillar Epistemic Code Engine",
formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument(
"--provider",
type=str,
default=os.getenv("AYN_PROVIDER", "deepseek"),
choices=["deepseek", "openai", "ollama", "offline"],
help="LLM inference provider or offline mode (default: deepseek)"
)
parser.add_argument(
"--model",
type=str,
default=os.getenv("AYN_MODEL", None),
help="Model identifier override (e.g., ayncoding-gemma2, ayncoding-model)"
)
subparsers = parser.add_subparsers(dest="subcommand", help="Available subcommands")
# Command: gen
p_gen = subparsers.add_parser("gen", help="Synthesize complete code from a prompt")
p_gen.add_argument("prompt", type=str, help="Coding specification or prompt")
p_gen.add_argument("-l", "--language", type=str, default="python", help="Target programming language (default: python)")
p_gen.add_argument("-o", "--output", type=str, help="Output file path to save code")
p_gen.add_argument("--code-only", action="store_true", help="Print only raw code without epistemic rationale")
# Command: audit (remote LLM)
p_audit = subparsers.add_parser("audit", help="Perform 5-Pillar Epistemic Code Audit via LLM")
p_audit.add_argument("target", type=str, help="File or directory to audit")
p_audit.add_argument("-l", "--language", type=str, help="Explicit language override")
# Command: audit-local (offline static epistemic auditor)
p_audit_local = subparsers.add_parser("audit-local", help="Perform offline 5-Pillar Static Epistemic Audit (deterministic)")
p_audit_local.add_argument("target", type=str, help="File to audit")
p_audit_local.add_argument("-l", "--language", type=str, help="Language override (python, javascript, rust, etc.)")
# Command: benchmark
p_bench = subparsers.add_parser("benchmark", help="Run 5-Pillar Epistemic Benchmark across multiple files")
p_bench.add_argument("target", type=str, help="File or directory containing source files")
p_bench.add_argument("-l", "--language", type=str, help="File extension / language to filter (default: js)")
# Command: refactor
p_refactor = subparsers.add_parser("refactor", help="Refactor code to 5-Pillar standards")
p_refactor.add_argument("target", type=str, help="File to refactor")
p_refactor.add_argument("-g", "--goal", type=str, help="Specific refactoring goal")
p_refactor.add_argument("-l", "--language", type=str, help="Language override")
p_refactor.add_argument("-o", "--output", type=str, help="Output file")
p_refactor.add_argument("-i", "--in-place", action="store_true", help="Overwrite file in-place")
# Command: pillars
p_pillars = subparsers.add_parser("pillars", help="Explain the 5 Classical Pillars and their software mappings")
# Command: mantiq-dataset
p_mantiq_data = subparsers.add_parser("mantiq-dataset", help="Synthesize Epistemic ManαΉiq & Morphology training dataset")
p_mantiq_data.add_argument("-o", "--output", type=str, help="Output JSONL filepath")
# Command: mantiq-audit
p_mantiq_audit = subparsers.add_parser("mantiq-audit", help="Audit code for Classical Logic fallacies (Dawr, Tasalsul, Majaz Mukhil)")
p_mantiq_audit.add_argument("target", type=str, help="File to audit")
# Command: purify
p_purify = subparsers.add_parser("purify", help="Purge unlogical artifacts, bare exceptions, and amorphous names")
p_purify.add_argument("target", type=str, help="File to purify")
p_purify.add_argument("-o", "--output", type=str, help="Output file")
p_purify.add_argument("-i", "--in-place", action="store_true", help="Overwrite file in-place")
args = parser.parse_args()
if not args.subcommand:
print_banner()
parser.print_help()
sys.exit(0)
if args.subcommand == "pillars":
cmd_pillars(args)
sys.exit(0)
elif args.subcommand == "mantiq-dataset":
cmd_mantiq_dataset(args)
sys.exit(0)
elif args.subcommand == "mantiq-audit":
cmd_mantiq_audit(args)
sys.exit(0)
elif args.subcommand == "purify":
cmd_purify(args)
sys.exit(0)
# Initialize Engine for operational commands
engine = AynCodingEngine(provider=args.provider, model=args.model)
if args.subcommand == "gen":
cmd_gen(args, engine)
elif args.subcommand == "audit":
cmd_audit(args, engine)
elif args.subcommand == "audit-local":
cmd_audit_local(args, engine)
elif args.subcommand == "benchmark":
cmd_benchmark(args, engine)
elif args.subcommand == "refactor":
cmd_refactor(args, engine)
if __name__ == "__main__":
main()
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