299f7d3897
- Add collaboration demo showing dynamic context requests - Implement chat tool for general conversations and brainstorming - Add tool selection guide with clear boundaries - Introduce models configuration system - Update prompts for better tool descriptions - Refactor server to remove redundant functionality - Add comprehensive tests for collaboration features - Enhance base tool with collaborative features This enables Claude to request additional context from Gemini during tool execution, improving analysis quality and accuracy. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
#!/usr/bin/env python3
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"""
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Demo script showing how Claude-Gemini collaboration works
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with dynamic context requests.
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This demonstrates how tools can request additional context
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and how Claude would handle these requests.
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"""
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import asyncio
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import json
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import os
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from tools.debug_issue import DebugIssueTool
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async def simulate_collaboration():
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"""Simulate a Claude-Gemini collaboration workflow"""
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print("🤝 Claude-Gemini Collaboration Demo\n")
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print("Scenario: Claude asks Gemini to debug an import error")
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print("-" * 50)
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# Initialize the debug tool
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debug_tool = DebugIssueTool()
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# Step 1: Initial request without full context
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print("\n1️⃣ Claude's initial request:")
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print(" 'Debug this ImportError - the app can't find the utils module'")
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initial_request = {
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"error_description": "ImportError: cannot import name 'config' from 'utils'",
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"error_context": "Error occurs on line 5 of main.py when starting the application"
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}
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print("\n Sending to Gemini...")
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result = await debug_tool.execute(initial_request)
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# Parse the response
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response = json.loads(result[0].text)
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print(f"\n Gemini's response status: {response['status']}")
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if response['status'] == 'requires_clarification':
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# Gemini needs more context
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clarification = json.loads(response['content'])
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print("\n2️⃣ Gemini requests additional context:")
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print(f" Question: {clarification.get('question', 'N/A')}")
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if 'files_needed' in clarification:
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print(f" Files needed: {clarification['files_needed']}")
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# Step 2: Claude provides additional context
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print("\n3️⃣ Claude provides the requested files:")
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enhanced_request = {
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**initial_request,
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"files": clarification.get('files_needed', []),
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"runtime_info": "Python 3.11, project structure includes utils/ directory"
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}
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print(" Re-sending with additional context...")
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result2 = await debug_tool.execute(enhanced_request)
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final_response = json.loads(result2[0].text)
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print(f"\n4️⃣ Gemini's final analysis (status: {final_response['status']}):")
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if final_response['status'] == 'success':
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print("\n" + final_response['content'][:500] + "...")
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else:
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# Gemini had enough context initially
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print("\n✅ Gemini provided analysis without needing additional context:")
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print("\n" + response['content'][:500] + "...")
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print("\n" + "=" * 50)
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print("🎯 Key Points:")
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print("- Tools return structured JSON with status field")
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print("- Status 'requires_clarification' triggers context request")
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print("- Claude can then provide additional files/info")
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print("- Enables true collaborative problem-solving!")
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async def main():
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"""Run the demo"""
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# Check for API key
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if not os.environ.get("GEMINI_API_KEY"):
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print("⚠️ Note: This is a simulated demo. Set GEMINI_API_KEY for live testing.")
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print(" The actual behavior depends on Gemini's response.\n")
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await simulate_collaboration()
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if __name__ == "__main__":
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asyncio.run(main()) |