feat: Optimize for Claude Code developer assistant role

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>
This commit is contained in:
Fahad
2025-06-08 20:00:29 +04:00
parent 4d2ad48638
commit 50fec40f13
3 changed files with 241 additions and 135 deletions

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test_optimized.py Normal file
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#!/usr/bin/env python3
"""
Test script for optimized Claude Code settings
"""
import os
import asyncio
from gemini_server import configure_gemini, handle_call_tool
async def test_optimized_settings():
"""Test the optimized temperature and developer settings"""
print("Testing Optimized Claude Code Settings...")
print("-" * 50)
# Test configuration
try:
configure_gemini()
print("✓ Gemini API configured successfully")
except Exception as e:
print(f"✗ Failed to configure Gemini API: {e}")
return
# Test 1: Default chat temperature (should be 0.5)
print("\n1. Testing chat with default temperature (0.5)...")
result = await handle_call_tool("chat", {
"prompt": "Explain the concept of dependency injection in one paragraph. Be concise but thorough."
})
print("Response preview (should be balanced - accurate but not robotic):")
print(result[0].text[:300] + "..." if len(result[0].text) > 300 else result[0].text)
# Test 2: Code analysis with low temperature (0.2)
print("\n2. Testing code analysis with default low temperature (0.2)...")
code = '''
async def fetch_user_data(user_id: str, cache=None):
if cache and user_id in cache:
return cache[user_id]
response = await http_client.get(f"/api/users/{user_id}")
user_data = response.json()
if cache:
cache[user_id] = user_data
return user_data
'''
result = await handle_call_tool("analyze_code", {
"code": code,
"question": "Identify potential issues and suggest improvements"
})
print("Response preview (should be precise and technical):")
print(result[0].text[:400] + "..." if len(result[0].text) > 400 else result[0].text)
# Test 3: Creative task with higher temperature
print("\n3. Testing creative task with custom higher temperature...")
result = await handle_call_tool("chat", {
"prompt": "Suggest 3 innovative ways to implement a rate limiter",
"temperature": 0.8
})
print("Response preview (should be more creative):")
print(result[0].text[:400] + "..." if len(result[0].text) > 400 else result[0].text)
# Test 4: Verify developer context is applied
print("\n4. Testing developer context (no system prompt)...")
result = await handle_call_tool("chat", {
"prompt": "What's the time complexity of quicksort?",
"temperature": 0.3
})
print("Response (should be technical and developer-focused):")
print(result[0].text[:300] + "..." if len(result[0].text) > 300 else result[0].text)
print("\n" + "-" * 50)
print("Optimized settings test completed!")
if __name__ == "__main__":
# Check for API key
if not os.getenv("GEMINI_API_KEY"):
print("Error: GEMINI_API_KEY environment variable is not set")
print("Please set it with: export GEMINI_API_KEY='your-api-key'")
exit(1)
asyncio.run(test_optimized_settings())