0bcdffd55b
- Updated DEFAULT_MODEL fallback in config.py - Updated .env locally (not tracked in git) - Updated Claude Desktop config The Kimi K2 Thinking model will now be used for all analytical and strategic work by default.
107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
"""
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Configuration and constants for Zen-Marketing MCP Server
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This module centralizes all configuration settings for the Zen-Marketing MCP Server.
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It defines model configurations, token limits, temperature defaults, and other
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constants used throughout the application.
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Configuration values can be overridden by environment variables where appropriate.
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"""
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import os
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# Version and metadata
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__version__ = "0.1.0"
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__updated__ = "2025-11-07"
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__author__ = "Ben (based on Zen MCP Server by Fahad Gilani)"
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# Model configuration
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# DEFAULT_MODEL: The default model used for all AI operations
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# Can be overridden by setting DEFAULT_MODEL environment variable
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DEFAULT_MODEL = os.getenv("DEFAULT_MODEL", "moonshotai/kimi-k2-thinking")
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# Fast model for quick operations (variations, subject lines)
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FAST_MODEL = os.getenv("FAST_MODEL", "google/gemini-2.5-flash-preview-09-2025")
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# Creative model for content generation
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CREATIVE_MODEL = os.getenv("CREATIVE_MODEL", "minimax/minimax-m2")
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# Auto mode detection - when DEFAULT_MODEL is "auto", Claude picks the model
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IS_AUTO_MODE = DEFAULT_MODEL.lower() == "auto"
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# Temperature defaults for different content types
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# Temperature controls the randomness/creativity of model responses
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# Lower values (0.0-0.3) produce more deterministic, focused responses
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# Higher values (0.7-1.0) produce more creative, varied responses
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# TEMPERATURE_PRECISION: Used for fact-checking and technical verification
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TEMPERATURE_PRECISION = 0.2 # For factcheck, technical verification
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# TEMPERATURE_ANALYTICAL: Used for style enforcement and SEO optimization
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TEMPERATURE_ANALYTICAL = 0.3 # For styleguide, seooptimize, voiceanalysis
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# TEMPERATURE_BALANCED: Used for strategic planning
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TEMPERATURE_BALANCED = 0.5 # For guestedit, linkstrategy, campaignmap
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# TEMPERATURE_CREATIVE: Used for content variation and adaptation
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TEMPERATURE_CREATIVE = 0.7 # For platformadapt
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# TEMPERATURE_HIGHLY_CREATIVE: Used for bulk variation generation
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TEMPERATURE_HIGHLY_CREATIVE = 0.8 # For contentvariant, subjectlines
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# Thinking Mode Defaults
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DEFAULT_THINKING_MODE_THINKDEEP = os.getenv("DEFAULT_THINKING_MODE_THINKDEEP", "high")
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# MCP Protocol Transport Limits
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def _calculate_mcp_prompt_limit() -> int:
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"""
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Calculate MCP prompt size limit based on MAX_MCP_OUTPUT_TOKENS environment variable.
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Returns:
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Maximum character count for user input prompts
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"""
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max_tokens_str = os.getenv("MAX_MCP_OUTPUT_TOKENS")
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if max_tokens_str:
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try:
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max_tokens = int(max_tokens_str)
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# Allocate 60% of tokens for input, convert to characters (~4 chars per token)
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input_token_budget = int(max_tokens * 0.6)
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character_limit = input_token_budget * 4
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return character_limit
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except (ValueError, TypeError):
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pass
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# Default fallback: 60,000 characters
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return 60_000
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MCP_PROMPT_SIZE_LIMIT = _calculate_mcp_prompt_limit()
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# Language/Locale Configuration
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LOCALE = os.getenv("LOCALE", "")
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# Platform character limits
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PLATFORM_LIMITS = {
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"twitter": 280,
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"bluesky": 300,
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"linkedin": 3000,
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"linkedin_optimal": 1300,
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"instagram": 2200,
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"facebook": 500, # Optimal length
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"email_subject": 60,
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"email_preview": 100,
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"meta_description": 156,
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"page_title": 60,
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}
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# Web search configuration
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ENABLE_WEB_SEARCH = os.getenv("ENABLE_WEB_SEARCH", "true").lower() == "true"
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# Tool disabling
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# Comma-separated list of tools to disable
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DISABLED_TOOLS_STR = os.getenv("DISABLED_TOOLS", "")
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DISABLED_TOOLS = set(tool.strip() for tool in DISABLED_TOOLS_STR.split(",") if tool.strip())
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# Logging configuration
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LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
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