188 lines
4.1 KiB
Python
Executable File
188 lines
4.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# Joe wrote this :P
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import argparse
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import json
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import os
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import re
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import subprocess
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import sys
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import urllib.error
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import urllib.request
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try:
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from rich.console import Console
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from rich.markdown import Markdown
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RICH = True
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except ImportError:
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RICH = False
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FAST_MODEL = "gemma3:4b"
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THINK_MODEL = "qwen3:4b"
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ANSI_ESCAPE = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])")
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SYSTEM_PROMPT = """
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You are Computer.
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Rules:
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- Respond in under 100 words unless asked for detail.
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- Prefer direct answers.
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- Use technical language.
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- Do not apologize.
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- For Linux questions assume Arch Linux.
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- For electronics questions assume the user is an engineer.
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- If providing a command, put the command first.
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- Do not explain your reasoning unless explicitly asked.
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- Do not show chain-of-thought.
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- Give final answers only.
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""".strip()
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def ollama_base_url():
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host = os.environ.get("OLLAMA_HOST", "127.0.0.1:11434").strip()
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if host.startswith(("http://", "https://")):
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return host.rstrip("/")
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return f"http://{host}".rstrip("/")
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def strip_ansi(text):
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return ANSI_ESCAPE.sub("", text)
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def copy_to_clipboard(text):
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commands = [
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["wl-copy"],
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["xclip", "-selection", "clipboard"],
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["xsel", "--clipboard", "--input"],
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]
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for cmd in commands:
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try:
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subprocess.run(
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cmd,
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input=text,
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text=True,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL,
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check=True,
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)
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return True
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except Exception:
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pass
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return False
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def run_ollama_api(model, prompt):
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url = f"{ollama_base_url()}/api/generate"
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payload = json.dumps(
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{
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"model": model,
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"prompt": prompt,
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"stream": False,
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}
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).encode()
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req = urllib.request.Request(
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url,
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data=payload,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req, timeout=600) as resp:
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data = json.load(resp)
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return strip_ansi(data.get("response", "")).strip()
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def run_ollama_cli(model, prompt):
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result = subprocess.run(
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["ollama", "run", model, prompt],
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capture_output=True,
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text=True,
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)
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if result.returncode != 0:
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err = (result.stderr or result.stdout or "ollama run failed").strip()
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raise RuntimeError(err)
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return strip_ansi(result.stdout).strip()
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def run_ollama(model, prompt):
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try:
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return run_ollama_api(model, prompt)
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except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as exc:
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print(f"computer: API unavailable ({exc}), using CLI", file=sys.stderr)
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return run_ollama_cli(model, prompt)
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def print_response(response, raw):
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if RICH and not raw:
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console = Console()
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console.print(Markdown(response))
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else:
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print(response)
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def main():
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parser = argparse.ArgumentParser(
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prog="computer",
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description="Tiny local terminal AI",
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)
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parser.add_argument(
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"--think",
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action="store_true",
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help="Use the larger reasoning model",
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)
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parser.add_argument(
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"--copy",
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action="store_true",
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help="Copy response to clipboard",
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)
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parser.add_argument(
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"--raw",
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action="store_true",
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help="Disable rich formatting",
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)
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parser.add_argument(
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"prompt",
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nargs="*",
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help="Prompt text",
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)
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args = parser.parse_args()
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model = THINK_MODEL if args.think else FAST_MODEL
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user_prompt = " ".join(args.prompt)
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stdin_text = ""
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if not sys.stdin.isatty():
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stdin_text = sys.stdin.read()
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prompt = f"{SYSTEM_PROMPT}\n\nUser:\n{user_prompt}"
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if stdin_text.strip():
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prompt += f"\n\nInput:\n{stdin_text}"
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try:
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response = run_ollama(model, prompt)
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except RuntimeError as exc:
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print(f"computer: {exc}", file=sys.stderr)
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sys.exit(1)
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if args.copy:
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copy_to_clipboard(response)
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print_response(response, args.raw)
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if __name__ == "__main__":
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main()
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