e7dcc681d3
Remove the hardcoded 32,768 token output limit to allow Gemini to use its default/dynamic output token allocation. This provides more flexibility for responses without artificial constraints. - Remove MAX_OUTPUT_TOKENS constant from config - Remove max_tokens parameter from ToolRequest base model - Clean up all references in server.py and tools/base.py - Remove test_output_tokens.py as it's no longer needed - Update imports to remove MAX_OUTPUT_TOKENS references 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
1.6 KiB
Python
68 lines
1.6 KiB
Python
"""
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Configuration and constants for Gemini MCP Server
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"""
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# Version and metadata
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__version__ = "2.5.0"
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__updated__ = "2025-06-09"
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__author__ = "Fahad Gilani"
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# Model configuration
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DEFAULT_MODEL = "gemini-2.5-pro-preview-06-05"
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MAX_CONTEXT_TOKENS = 1_000_000 # 1M tokens for Gemini Pro
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# Temperature defaults for different tool types
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TEMPERATURE_ANALYTICAL = 0.2 # For code review, debugging
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TEMPERATURE_BALANCED = 0.5 # For general chat
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TEMPERATURE_CREATIVE = 0.7 # For architecture, deep thinking
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# Tool trigger phrases for natural language matching
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TOOL_TRIGGERS = {
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"think_deeper": [
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"think deeper",
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"ultrathink",
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"extend my analysis",
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"reason through",
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"explore alternatives",
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"challenge my thinking",
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"deep think",
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"extended thinking",
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"validate my approach",
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"find edge cases",
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],
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"review_code": [
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"review",
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"check for issues",
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"find bugs",
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"security check",
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"code quality",
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"audit",
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"code review",
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"check this code",
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"review for",
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"find vulnerabilities",
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],
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"debug_issue": [
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"debug",
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"error",
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"failing",
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"root cause",
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"trace",
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"why doesn't",
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"not working",
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"diagnose",
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"troubleshoot",
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"investigate this error",
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],
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"analyze": [
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"analyze",
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"examine",
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"look at",
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"check",
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"inspect",
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"understand",
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"analyze file",
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"analyze these files",
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],
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}
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