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WIP major refactor and features

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Fahad
2025-06-12 07:14:59 +04:00
parent e06a6fd1fc
commit 2a067a7f4e
46 changed files with 2960 additions and 1011 deletions
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config.py
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@@ -21,7 +21,32 @@ __author__ = "Fahad Gilani" # Primary maintainer
# DEFAULT_MODEL: The default model used for all AI operations
# This should be a stable, high-performance model suitable for code analysis
# Can be overridden by setting DEFAULT_MODEL environment variable
DEFAULT_MODEL = os.getenv("DEFAULT_MODEL", "gemini-2.5-pro-preview-06-05")
# Special value "auto" means Claude should pick the best model for each task
DEFAULT_MODEL = os.getenv("DEFAULT_MODEL", "auto")
# Validate DEFAULT_MODEL and set to "auto" if invalid
# Only include actually supported models from providers
VALID_MODELS = ["auto", "flash", "pro", "o3", "o3-mini", "gemini-2.0-flash-exp", "gemini-2.5-pro-preview-06-05"]
if DEFAULT_MODEL not in VALID_MODELS:
import logging
logger = logging.getLogger(__name__)
logger.warning(f"Invalid DEFAULT_MODEL '{DEFAULT_MODEL}'. Setting to 'auto'. Valid options: {', '.join(VALID_MODELS)}")
DEFAULT_MODEL = "auto"
# Auto mode detection - when DEFAULT_MODEL is "auto", Claude picks the model
IS_AUTO_MODE = DEFAULT_MODEL.lower() == "auto"
# Model capabilities descriptions for auto mode
# These help Claude choose the best model for each task
MODEL_CAPABILITIES_DESC = {
"flash": "Ultra-fast (1M context) - Quick analysis, simple queries, rapid iterations",
"pro": "Deep reasoning + thinking mode (1M context) - Complex problems, architecture, deep analysis",
"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
"gemini-2.0-flash-exp": "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"
}
# Token allocation for Gemini Pro (1M total capacity)
# MAX_CONTEXT_TOKENS: Total model capacity