1aa19548d1
Major redesign of Gemini MCP Server with modular architecture: - Removed all emoji characters from tool outputs for clean terminal display - Kept review category emojis (🔴🟠🟡🟢) per user preference - Added 4 specialized tools: - think_deeper: Extended reasoning and problem-solving (temp 0.7) - review_code: Professional code review with severity levels (temp 0.2) - debug_issue: Root cause analysis and debugging (temp 0.2) - analyze: General-purpose file analysis (temp 0.2) - Modular architecture with base tool class and Pydantic models - Verbose tool descriptions with natural language triggers - Updated README with comprehensive examples and real-world use cases - All 25 tests passing, type checking clean, critical linting clean BREAKING CHANGE: Removed analyze_code tool in favor of specialized tools 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
21 lines
481 B
Python
21 lines
481 B
Python
"""
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Token counting utilities
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"""
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from typing import Tuple
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from config import MAX_CONTEXT_TOKENS
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def estimate_tokens(text: str) -> int:
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"""Estimate token count (rough: 1 token ≈ 4 characters)"""
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return len(text) // 4
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def check_token_limit(text: str) -> Tuple[bool, int]:
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"""
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Check if text exceeds token limit.
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Returns: (is_within_limit, estimated_tokens)
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"""
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estimated = estimate_tokens(text)
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return estimated <= MAX_CONTEXT_TOKENS, estimated
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