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feat: added intelligence_score to the model capabilities schema; a 1-20 number that can be specified to influence the sort order of models presented to the CLI in auto selection mode

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fix: model definition re-introduced into the schema but intelligently and only a summary is generated per tool. Required to ensure CLI calls and uses the correct model
fix: removed `model` param from some tools where this wasn't needed
fix: fixed adherence to `*_ALLOWED_MODELS` by advertising only the allowed models to the CLI
fix: removed duplicates across providers when passing canonical names back to the CLI; the first enabled provider wins
This commit is contained in:
Fahad
2025-10-02 21:43:44 +04:00
parent e78fe35a1b
commit 6cab9e56fc
22 changed files with 525 additions and 110 deletions
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4
providers/gemini.py
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@@ -33,6 +33,7 @@ class GeminiModelProvider(ModelProvider):
provider=ProviderType.GOOGLE,
model_name="gemini-2.5-pro",
friendly_name="Gemini (Pro 2.5)",
intelligence_score=18,
context_window=1_048_576, # 1M tokens
max_output_tokens=65_536,
supports_extended_thinking=True,
@@ -52,6 +53,7 @@ class GeminiModelProvider(ModelProvider):
provider=ProviderType.GOOGLE,
model_name="gemini-2.0-flash",
friendly_name="Gemini (Flash 2.0)",
intelligence_score=9,
context_window=1_048_576, # 1M tokens
max_output_tokens=65_536,
supports_extended_thinking=True, # Experimental thinking mode
@@ -71,6 +73,7 @@ class GeminiModelProvider(ModelProvider):
provider=ProviderType.GOOGLE,
model_name="gemini-2.0-flash-lite",
friendly_name="Gemin (Flash Lite 2.0)",
intelligence_score=7,
context_window=1_048_576, # 1M tokens
max_output_tokens=65_536,
supports_extended_thinking=False, # Not supported per user request
@@ -89,6 +92,7 @@ class GeminiModelProvider(ModelProvider):
provider=ProviderType.GOOGLE,
model_name="gemini-2.5-flash",
friendly_name="Gemini (Flash 2.5)",
intelligence_score=10,
context_window=1_048_576, # 1M tokens
max_output_tokens=65_536,
supports_extended_thinking=True,