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refactor: renaming to reflect underlying type

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docs: updated to reflect new modules
This commit is contained in:
Fahad
2025-10-02 09:07:40 +04:00
parent 2b10adcaf2
commit 1dc25f6c3d
18 changed files with 129 additions and 131 deletions
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18
providers/gemini.py
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@@ -31,7 +31,7 @@ class GeminiModelProvider(ModelProvider):
"""
# Model configurations using ModelCapabilities objects
SUPPORTED_MODELS = {
MODEL_CAPABILITIES = {
"gemini-2.5-pro": ModelCapabilities(
provider=ProviderType.GOOGLE,
model_name="gemini-2.5-pro",
@@ -154,7 +154,7 @@ class GeminiModelProvider(ModelProvider):
# Resolve shorthand
resolved_name = self._resolve_model_name(model_name)
if resolved_name not in self.SUPPORTED_MODELS:
if resolved_name not in self.MODEL_CAPABILITIES:
raise ValueError(f"Unsupported Gemini model: {model_name}")
# Check if model is allowed by restrictions
@@ -166,8 +166,8 @@ class GeminiModelProvider(ModelProvider):
if not restriction_service.is_allowed(ProviderType.GOOGLE, resolved_name, model_name):
raise ValueError(f"Gemini model '{resolved_name}' is not allowed by restriction policy.")
# Return the ModelCapabilities object directly from SUPPORTED_MODELS
return self.SUPPORTED_MODELS[resolved_name]
# Return the ModelCapabilities object directly from MODEL_CAPABILITIES
return self.MODEL_CAPABILITIES[resolved_name]
def generate_content(
self,
@@ -227,7 +227,7 @@ class GeminiModelProvider(ModelProvider):
# Add thinking configuration for models that support it
if capabilities.supports_extended_thinking and thinking_mode in self.THINKING_BUDGETS:
# Get model's max thinking tokens and calculate actual budget
model_config = self.SUPPORTED_MODELS.get(resolved_name)
model_config = self.MODEL_CAPABILITIES.get(resolved_name)
if model_config and model_config.max_thinking_tokens > 0:
max_thinking_tokens = model_config.max_thinking_tokens
actual_thinking_budget = int(max_thinking_tokens * self.THINKING_BUDGETS[thinking_mode])
@@ -382,7 +382,7 @@ class GeminiModelProvider(ModelProvider):
resolved_name = self._resolve_model_name(model_name)
# First check if model is supported
if resolved_name not in self.SUPPORTED_MODELS:
if resolved_name not in self.MODEL_CAPABILITIES:
return False
# Then check if model is allowed by restrictions
@@ -405,7 +405,7 @@ class GeminiModelProvider(ModelProvider):
def get_thinking_budget(self, model_name: str, thinking_mode: str) -> int:
"""Get actual thinking token budget for a model and thinking mode."""
resolved_name = self._resolve_model_name(model_name)
model_config = self.SUPPORTED_MODELS.get(resolved_name)
model_config = self.MODEL_CAPABILITIES.get(resolved_name)
if not model_config or not model_config.supports_extended_thinking:
return 0
@@ -584,7 +584,7 @@ class GeminiModelProvider(ModelProvider):
pro_thinking = [
m
for m in allowed_models
if "pro" in m and m in self.SUPPORTED_MODELS and self.SUPPORTED_MODELS[m].supports_extended_thinking
if "pro" in m and m in self.MODEL_CAPABILITIES and self.MODEL_CAPABILITIES[m].supports_extended_thinking
]
if pro_thinking:
return find_best(pro_thinking)
@@ -593,7 +593,7 @@ class GeminiModelProvider(ModelProvider):
any_thinking = [
m
for m in allowed_models
if m in self.SUPPORTED_MODELS and self.SUPPORTED_MODELS[m].supports_extended_thinking
if m in self.MODEL_CAPABILITIES and self.MODEL_CAPABILITIES[m].supports_extended_thinking
]
if any_thinking:
return find_best(any_thinking)