50fec40f13
Major enhancements for Claude Code integration: Temperature Optimization: - Chat: 0.5 (balanced accuracy/creativity for development discussions) - Code Analysis: 0.2 (high precision for code reviews and debugging) Enhanced Developer Context: - Rewritten system prompt focusing on Claude Code augmentation - Emphasizes precision, best practices, and actionable solutions - Positions Gemini as an extension for large context tasks Claude Code-Centric Documentation: - README completely rewritten for Claude Code users - Clear configuration instructions with file paths - Practical examples for common development scenarios - Quick start guide with natural language usage Key improvements: - Lower temperatures for more accurate, deterministic responses - Developer-first approach in all interactions - Clear positioning as Claude's extended context handler - Comprehensive setup guide for Claude Desktop integration The server is now fully optimized to act as a specialized developer assistant that seamlessly extends Claude Code's capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for optimized Claude Code settings
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"""
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import os
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import asyncio
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from gemini_server import configure_gemini, handle_call_tool
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async def test_optimized_settings():
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"""Test the optimized temperature and developer settings"""
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print("Testing Optimized Claude Code Settings...")
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print("-" * 50)
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# Test configuration
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try:
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configure_gemini()
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print("✓ Gemini API configured successfully")
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except Exception as e:
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print(f"✗ Failed to configure Gemini API: {e}")
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return
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# Test 1: Default chat temperature (should be 0.5)
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print("\n1. Testing chat with default temperature (0.5)...")
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result = await handle_call_tool("chat", {
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"prompt": "Explain the concept of dependency injection in one paragraph. Be concise but thorough."
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})
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print("Response preview (should be balanced - accurate but not robotic):")
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print(result[0].text[:300] + "..." if len(result[0].text) > 300 else result[0].text)
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# Test 2: Code analysis with low temperature (0.2)
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print("\n2. Testing code analysis with default low temperature (0.2)...")
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code = '''
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async def fetch_user_data(user_id: str, cache=None):
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if cache and user_id in cache:
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return cache[user_id]
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response = await http_client.get(f"/api/users/{user_id}")
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user_data = response.json()
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if cache:
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cache[user_id] = user_data
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return user_data
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'''
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result = await handle_call_tool("analyze_code", {
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"code": code,
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"question": "Identify potential issues and suggest improvements"
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})
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print("Response preview (should be precise and technical):")
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print(result[0].text[:400] + "..." if len(result[0].text) > 400 else result[0].text)
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# Test 3: Creative task with higher temperature
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print("\n3. Testing creative task with custom higher temperature...")
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result = await handle_call_tool("chat", {
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"prompt": "Suggest 3 innovative ways to implement a rate limiter",
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"temperature": 0.8
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})
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print("Response preview (should be more creative):")
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print(result[0].text[:400] + "..." if len(result[0].text) > 400 else result[0].text)
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# Test 4: Verify developer context is applied
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print("\n4. Testing developer context (no system prompt)...")
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result = await handle_call_tool("chat", {
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"prompt": "What's the time complexity of quicksort?",
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"temperature": 0.3
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})
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print("Response (should be technical and developer-focused):")
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print(result[0].text[:300] + "..." if len(result[0].text) > 300 else result[0].text)
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print("\n" + "-" * 50)
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print("Optimized settings test completed!")
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if __name__ == "__main__":
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# Check for API key
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if not os.getenv("GEMINI_API_KEY"):
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print("Error: GEMINI_API_KEY environment variable is not set")
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print("Please set it with: export GEMINI_API_KEY='your-api-key'")
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exit(1)
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asyncio.run(test_optimized_settings()) |