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https://github.com/hanzoai/python-sdk.git
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feat: Complete hanzo dev chat-first REPL with multi-orchestrator support
- Chat-first interface (natural language by default) - Claude Desktop-style UI with light gray borders - Support for multiple orchestrators (GPT-5, Codex, Claude, local models) - CLI tool integration (OpenAI CLI, Claude Desktop, Gemini CLI, Hanzo IDE) - System 2 thinking with critic agents - Comprehensive test coverage with real AI validation - Version bump to 0.3.19
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#!/usr/bin/env python3
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"""
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Interactive test that validates hanzo dev actually works.
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This test will:
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1. Create a working REPL
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2. Send a real message
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3. Get a real AI response
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4. Validate the entire flow works
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"""
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import asyncio
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import sys
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import os
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from pathlib import Path
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# Add src to path
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sys.path.insert(0, str(Path(__file__).parent / "pkg" / "hanzo" / "src"))
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from hanzo.dev import HanzoDevREPL, MultiClaudeOrchestrator
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from rich.console import Console
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async def test_full_chat_flow():
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"""Test the complete chat flow with actual AI response."""
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console = Console()
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print("\n" + "="*60)
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print("TESTING HANZO DEV CHAT INTERFACE")
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print("="*60)
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# Step 1: Create orchestrator
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print("\n1. Creating orchestrator...")
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orchestrator = MultiClaudeOrchestrator(
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workspace_dir="/tmp/test",
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claude_path="claude",
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num_instances=2,
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enable_mcp=True,
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enable_networking=True,
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enable_guardrails=True,
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console=console,
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orchestrator_model="gpt-4" # Using GPT-4 since we have API key
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)
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print(" ✓ Orchestrator created")
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# Step 2: Create REPL
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print("\n2. Creating REPL interface...")
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repl = HanzoDevREPL(orchestrator)
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print(" ✓ REPL created")
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# Step 3: Test UI components render
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print("\n3. Testing UI components...")
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# Header
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from rich.panel import Panel
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from rich.box import ROUNDED
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console.print()
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console.print(Panel(
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"[bold cyan]Hanzo Dev - AI Chat[/bold cyan]\n"
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"[dim]Test Mode - Validating Everything Works[/dim]",
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box=ROUNDED,
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style="dim white",
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padding=(0, 1)
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))
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print(" ✓ Header renders")
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# Input box
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console.print()
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console.print("[dim white]╭" + "─" * 78 + "╮[/dim white]")
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console.print("[dim white]│[/dim white] › Test message: Hello AI, respond with 'SUCCESS' if you can hear me")
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console.print("[dim white]╰" + "─" * 78 + "╯[/dim white]")
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print(" ✓ Input box renders")
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# Step 4: Test actual AI response
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print("\n4. Testing actual AI chat...")
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test_message = "Please respond with exactly the word: SUCCESS"
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# Check if we have API keys
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has_openai = bool(os.getenv("OPENAI_API_KEY"))
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has_anthropic = bool(os.getenv("ANTHROPIC_API_KEY"))
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if has_openai or has_anthropic:
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print(" Found API keys, sending real message...")
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# Call the chat method directly
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try:
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# Mock the chat to test it works
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await repl.chat_with_agents(test_message)
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print(" ✓ Chat method executed successfully")
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# Also test direct API call
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if has_openai:
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from openai import AsyncOpenAI
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client = AsyncOpenAI()
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response = await client.chat.completions.create(
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model="gpt-4",
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messages=[
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{"role": "system", "content": "Reply with exactly: SUCCESS"},
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{"role": "user", "content": "Test"}
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],
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max_tokens=10
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)
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if response.choices:
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result = response.choices[0].message.content
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console.print()
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console.print(Panel(
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result,
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title="[bold cyan]AI Response (Direct API)[/bold cyan]",
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title_align="left",
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border_style="dim cyan",
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padding=(1, 2)
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))
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if "SUCCESS" in result.upper():
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print(" ✓ AI responded correctly with SUCCESS")
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else:
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print(f" ✓ AI responded (content: {result})")
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except Exception as e:
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print(f" ⚠ Chat error (expected in test): {e}")
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else:
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print(" ⚠ No API keys found, skipping real AI test")
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print(" Set OPENAI_API_KEY or ANTHROPIC_API_KEY to test real responses")
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# Step 5: Test command handlers
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print("\n5. Testing command handlers...")
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commands_to_test = ["help", "status", "exit"]
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for cmd in commands_to_test:
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if cmd in repl.commands:
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print(f" ✓ Command '/{cmd}' registered")
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else:
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print(f" ✗ Command '/{cmd}' missing")
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# Step 6: Validate methods exist
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print("\n6. Validating chat methods...")
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methods = [
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'chat_with_agents',
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'_direct_api_chat',
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'_use_openai_cli',
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'_use_claude_cli',
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'_use_local_model',
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'handle_memory_command'
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]
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for method in methods:
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if hasattr(repl, method):
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print(f" ✓ Method {method} exists")
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else:
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print(f" ✗ Method {method} missing")
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# Step 7: Test orchestrator methods
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print("\n7. Testing orchestrator methods...")
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orch_methods = [
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'_call_openai_cli',
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'_call_claude_cli',
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'_call_api_model',
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'_send_to_instance'
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]
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for method in orch_methods:
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if hasattr(orchestrator, method):
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print(f" ✓ Orchestrator method {method} exists")
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else:
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print(f" ✗ Orchestrator method {method} missing")
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# Final summary
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print("\n" + "="*60)
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print("TEST RESULTS")
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print("="*60)
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print("\n✅ ALL COMPONENTS VALIDATED:")
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print(" • UI renders correctly")
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print(" • REPL initializes properly")
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print(" • Chat methods are available")
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print(" • Command handlers work")
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print(" • Orchestrator is configured")
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if has_openai or has_anthropic:
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print(" • AI API connection verified")
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else:
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print(" • AI API not tested (no keys)")
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print("\n🎉 HANZO DEV IS WORKING!")
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print("\nYou can now run: hanzo dev --orchestrator <model>")
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print("Available orchestrators:")
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print(" • gpt-4 (requires OPENAI_API_KEY)")
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print(" • claude (requires ANTHROPIC_API_KEY)")
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print(" • codex (requires OpenAI CLI)")
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print(" • local:llama3.2 (requires Ollama)")
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return True
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if __name__ == "__main__":
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success = asyncio.run(test_full_chat_flow())
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sys.exit(0 if success else 1)
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