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Renamed setup script to avoid confusion (https://github.com/BeehiveInnovations/zen-mcp-server/issues/35)

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Further fixes to tests
Pass O3 simulation test when keys are not set, along with a notice
Updated docs on testing, simulation tests / contributing
Support for OpenAI o4-mini and o4-mini-high
This commit is contained in:
Fahad
2025-06-14 09:28:20 +04:00
parent c5f682c7b0
commit 746380eb7f
17 changed files with 324 additions and 53 deletions
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35
config.py
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@@ -14,7 +14,7 @@ import os
# These values are used in server responses and for tracking releases
# IMPORTANT: This is the single source of truth for version and author info
# Semantic versioning: MAJOR.MINOR.PATCH
__version__ = "4.3.0"
__version__ = "4.3.1"
# Last update date in ISO format
__updated__ = "2025-06-14"
# Primary maintainer
@@ -32,23 +32,44 @@ IS_AUTO_MODE = DEFAULT_MODEL.lower() == "auto"
# Model capabilities descriptions for auto mode
# These help Claude choose the best model for each task
#
# IMPORTANT: These are the built-in natively supported models:
# - When GEMINI_API_KEY is set: Enables "flash", "pro" (and their full names)
# - When OPENAI_API_KEY is set: Enables "o3", "o3mini", "o4-mini", "o4-mini-high"
# - When both are set: All models below are available
# - When neither is set but OpenRouter/Custom API is configured: These model
# aliases will automatically map to equivalent models via the proxy provider
#
# In auto mode (DEFAULT_MODEL=auto), Claude will see these descriptions and
# intelligently select the best model for each task. The descriptions appear
# in the tool schema to guide Claude's selection based on task requirements.
MODEL_CAPABILITIES_DESC = {
# Gemini models - Available when GEMINI_API_KEY is configured
"flash": "Ultra-fast (1M context) - Quick analysis, simple queries, rapid iterations",
"pro": "Deep reasoning + thinking mode (1M context) - Complex problems, architecture, deep analysis",
# OpenAI models - Available when OPENAI_API_KEY is configured
"o3": "Strong reasoning (200K context) - Logical problems, code generation, systematic analysis",
"o3-mini": "Fast O3 variant (200K context) - Balanced performance/speed, moderate complexity",
# Full model names also supported
"o4-mini": "Latest reasoning model (200K context) - Optimized for shorter contexts, rapid reasoning",
"o4-mini-high": "Enhanced O4 mini (200K context) - Higher reasoning effort for complex tasks",
# Full model names also supported (for explicit specification)
"gemini-2.5-flash-preview-05-20": "Ultra-fast (1M context) - Quick analysis, simple queries, rapid iterations",
"gemini-2.5-pro-preview-06-05": (
"Deep reasoning + thinking mode (1M context) - Complex problems, architecture, deep analysis"
),
}
# Note: When only OpenRouter is configured, these model aliases automatically map to equivalent models:
# - "flash" → "google/gemini-2.5-flash-preview-05-20"
# - "pro" → "google/gemini-2.5-pro-preview-06-05"
# - "o3" → "openai/gpt-4o"
# - "o3-mini" → "openai/gpt-4o-mini"
# OpenRouter/Custom API Fallback Behavior:
# When only OpenRouter or Custom API is configured (no native API keys), these
# model aliases automatically map to equivalent models through the proxy:
# - "flash" → "google/gemini-2.5-flash-preview-05-20" (via OpenRouter)
# - "pro" → "google/gemini-2.5-pro-preview-06-05" (via OpenRouter)
# - "o3" → "openai/o3" (via OpenRouter)
# - "o3mini" → "openai/o3-mini" (via OpenRouter)
# - "o4-mini" → "openai/o4-mini" (via OpenRouter)
# - "o4-mini-high" → "openai/o4-mini-high" (via OpenRouter)
#
# This ensures the same model names work regardless of which provider is configured.
# Temperature defaults for different tool types