chore: Remove dead code and stale Docker/GGUF-era artifacts

- controlai_agent/cli.py: confirmed unimported anywhere (the real CLI
entry point is the root cli.py that run.sh actually invokes).
- scripts/convert_hf_to_gguf.py: non-functional as committed (missing
the llama.cpp conversion/ and gguf-py/ packages it imports); the
actual GGUF conversion for this model was done via a throwaway clone
of llama.cpp, not this script.
- scripts/upload_to_hf.py: was sitting untracked; it's the correct,
working uploader for the (now-fixed) fused model, so it's added
properly instead of left stray.

Also cleared ~14GB of local scratch model artifacts that are no longer
needed: the broken MLX-quantized "fused" checkpoint kept as a backup,
and the intermediate/GGUF files from producing the model now hosted on
atakankahya/ControlAI-Agent (both already safely on the Hub).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

controlai_agent/cli.py

@@ -1,86 +0,0 @@
-#!/usr/bin/env python3
-"""Interactive CLI for ControlAI Agent with deterministic tool calling."""
-
-from __future__ import annotations
-
-import argparse
-import sys
-from pathlib import Path
-
-PROJECT_ROOT = Path(__file__).resolve().parents[1]
-if str(PROJECT_ROOT) not in sys.path:
-    sys.path.insert(0, str(PROJECT_ROOT))
-
-from controlai_agent.orchestrator import ControlAIAgent
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description="ControlAI Offline Engineering Agent CLI")
-    parser.add_argument(
-        "--model",
-        type=str,
-        default="mlx-community/Qwen3-4B-Instruct-2507-4bit",
-        help="Base model path or HuggingFace repo",
-    )
-    parser.add_argument(
-        "--adapter-path",
-        type=str,
-        default=None,
-        help="Optional fine-tuned LoRA adapter path",
-    )
-    parser.add_argument(
-        "--prompt",
-        type=str,
-        default=None,
-        help="Single prompt to execute in non-interactive mode",
-    )
-    parser.add_argument(
-        "--verbose",
-        action="store_true",
-        help="Print raw tool calls and intermediate steps",
-    )
-    args = parser.parse_args()
-
-    print("Initializing ControlAI Agent...")
-    agent = ControlAIAgent(model_path=args.model, adapter_path=args.adapter_path)
-    print("ControlAI Agent initialized with deterministic control tools.")
-
-    if args.prompt:
-        result = agent.run(args.prompt, verbose=args.verbose)
-        print("\n" + "=" * 50)
-        print("AGENT RESPONSE:")
-        print("=" * 50)
-        print(result.final_response)
-        if result.tool_traces:
-            print("\n" + "-" * 50)
-            print(f"EXECUTED TOOLS ({len(result.tool_traces)}):")
-            for trace in result.tool_traces:
-                print(f"  * {trace.tool_name}({trace.arguments}) -> {trace.result.get('status', 'done')}")
-        return 0
-
-    print("\n" + "=" * 60)
-    print("🤖 Welcome to Control-LLM (Offline Control Engineering Agent)")
-    print("=" * 60)
-    print("Type your control engineering question or design problem.")
-    print("Commands: 'exit' or 'quit' to end, 'verbose' to toggle tool details.\n")
-    while True:
-        try:
-            user_input = input("\n[Engineer] > ").strip()
-            if not user_input:
-                continue
-            if user_input.lower() in ("exit", "quit", "q"):
-                break
-            result = agent.run(user_input, verbose=args.verbose)
-            print(f"\n[ControlAI]\n{result.final_response}")
-            if result.tool_traces and not args.verbose:
-                tools_used = ", ".join(t.tool_name for t in result.tool_traces)
-                print(f"\n(Verified using tools: {tools_used})")
-        except (KeyboardInterrupt, EOFError):
-            print("\nExiting ControlAI.")
-            break
-
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())