init: nvm we ollama in this bitch

.gitignore

@@ -1,2 +1 @@
-.env
 .venv/

main.py

@@ -1,14 +1,51 @@
-from google import genai
-from dotenv import load_dotenv
-import os
+import ollama
+import subprocess
 
-load_dotenv()
 
-prompt = input("Prompt: ")
+def shell_command(command: str) -> str:
+    """
+    Run a shell command.
 
-client = genai.Client(api_key=os.getenv("GEM_API_KEY"))
-response = client.models.generate_content(
-    model="gemini-2.5-flash",
-    contents=prompt
-)
-print(response.text)
+    Args:
+      command: the command to run
+
+    Returns:
+      stdout: the stdout
+      stderr: the stderr
+    """
+    exec = subprocess.run(command, encoding="utf-8", shell=True, capture_output=True)
+    return f"stdout:\n{exec.stdout}\n\nstderr:\n{exec.stderr}"
+
+
+tools = [shell_command]                        # ollama-python turns this into JSON
+
+messages = [{"role": "user", "content": input("prompt > ")}]
+
+while True:
+    stream = ollama.chat(model="gpt-oss", messages=messages,
+                         tools=tools, stream=True)
+
+    ran_tool = False
+    for chunk in stream:
+        msg = chunk.message
+
+        # 1️⃣ the model is asking us to run something
+        if msg.tool_calls:
+            for call in msg.tool_calls:
+                if call["function"]["name"] == "shell_command":
+                    cmd = call["function"]["arguments"]["command"]
+                    output = shell_command(cmd)
+                    messages.append({
+                        "role": "tool",
+                        "name": "shell_command",
+                        "content": output
+                    })
+                    ran_tool = True
+
+        # 2️⃣ normal user-visible text
+        elif msg.content:
+            print(msg.content, end="", flush=True)
+
+    # loop again if we just satisfied a tool call
+    if not ran_tool:
+        break