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Use the new Gemini 2.5 Flash

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Updated to support Thinking Tokens as a ratio of the max allowed
Updated tests
Updated README
This commit is contained in:
Fahad
2025-06-12 20:46:54 +04:00
parent b34c63d710
commit 3aedb16101
27 changed files with 135 additions and 98 deletions
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12
config.py
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@@ -26,7 +26,15 @@ 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", "gemini-2.5-pro-preview-06-05"]
VALID_MODELS = [
"auto",
"flash",
"pro",
"o3",
"o3-mini",
"gemini-2.5-flash-preview-05-20",
"gemini-2.5-pro-preview-06-05",
]
if DEFAULT_MODEL not in VALID_MODELS:
import logging
@@ -47,7 +55,7 @@ MODEL_CAPABILITIES_DESC = {
"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": "Ultra-fast (1M context) - Quick analysis, simple queries, rapid iterations",
"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",
}