add agent workspace

2026-02-18 22:39:35 -08:00
commit e8389b8772
48 changed files with 3476 additions and 0 deletions
--- a/scripts/ollama_qwen3.py
+++ b/scripts/ollama_qwen3.py
@@ -0,0 +1,130 @@
+#!/usr/bin/env python3
+"""
+Simple Ollama Qwen3 Client
+A standalone script to query Ollama's Qwen3 model
+"""
+
+import ollama
+import sys
+import argparse
+
+
+def query_qwen3(prompt: str, model: str = "qwen3:4b", temperature: float = 0.7, stream: bool = False):
+    """
+    Send a prompt to Qwen3 and get the response
+
+    Args:
+        prompt: The text prompt to send
+        model: Model name (default: qwen3:4b)
+        temperature: Sampling temperature (0.0-1.0, default: 0.7)
+        stream: Whether to stream the response (default: False)
+
+    Returns:
+        The model's response string
+    """
+    try:
+        if stream:
+            # Streaming response
+            print("🤖 Qwen3 (streaming):\n", end="", flush=True)
+            full_response = ""
+            for chunk in ollama.generate(
+                model=model,
+                prompt=prompt,
+                stream=True,
+                options={'temperature': temperature}
+            ):
+                content = chunk.get('response', '')
+                print(content, end="", flush=True)
+                full_response += content
+            print()  # Final newline
+            return full_response
+        else:
+            # Non-streaming response
+            response = ollama.generate(
+                model=model,
+                prompt=prompt,
+                options={'temperature': temperature}
+            )
+            return response['response']
+
+    except Exception as e:
+        return f"❌ Error: {e}"
+
+
+def interactive_mode(model: str = "qwen3:4b", temperature: float = 0.7):
+    """Run in interactive chat mode"""
+    print(f"🤖 Qwen3 Chat Mode ({model})")
+    print("Type 'exit', 'quit', or press Ctrl+C to exit\n")
+
+    while True:
+        try:
+            prompt = input("You: ").strip()
+            if prompt.lower() in ['exit', 'quit', 'q']:
+                print("Goodbye!")
+                break
+            if not prompt:
+                continue
+
+            response = ollama.generate(
+                model=model,
+                prompt=prompt,
+                options={'temperature': temperature}
+            )
+            print(f"\nQwen3: {response['response']}\n")
+
+        except KeyboardInterrupt:
+            print("\nGoodbye!")
+            break
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Query Ollama's Qwen3 model",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  python ollama_qwen3.py "What is the capital of France?"
+  python ollama_qwen3.py -p "Explain quantum computing" --temp 0.3
+  python ollama_qwen3.py --interactive
+  echo "Hello world" | python ollama_qwen3.py --stdin
+        """
+    )
+
+    parser.add_argument('prompt', nargs='?', help='The prompt text (optional if using --stdin)')
+    parser.add_argument('-p', '--prompt-file', help='Read prompt from file')
+    parser.add_argument('--model', default='qwen3:4b', help='Model name (default: qwen3:4b)')
+    parser.add_argument('--temp', type=float, default=0.7, help='Temperature 0.0-1.0 (default: 0.7)')
+    parser.add_argument('--stdin', action='store_true', help='Read prompt from stdin')
+    parser.add_argument('--interactive', '-i', action='store_true', help='Interactive chat mode')
+    parser.add_argument('--stream', action='store_true', help='Stream response')
+
+    args = parser.parse_args()
+
+    # Get prompt from various sources
+    if args.interactive:
+        interactive_mode(args.model, args.temp)
+        return
+
+    prompt = ""
+    if args.stdin:
+        prompt = sys.stdin.read().strip()
+    elif args.prompt_file:
+        with open(args.prompt_file, 'r') as f:
+            prompt = f.read().strip()
+    elif args.prompt:
+        prompt = args.prompt
+
+    if not prompt:
+        print("❌ No prompt provided. Use --help for usage information.")
+        sys.exit(1)
+
+    # Query model
+    if args.stream:
+        query_qwen3(prompt, args.model, args.temp, stream=True)
+    else:
+        response = query_qwen3(prompt, args.model, args.temp)
+        print(response)
+
+
+if __name__ == "__main__":
+    main()