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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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8
providers/registry.py
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@@ -67,7 +67,7 @@ class ModelProviderRegistry:
"""Get provider instance for a specific model name.
Args:
model_name: Name of the model (e.g., "gemini-2.0-flash", "o3-mini")
model_name: Name of the model (e.g., "gemini-2.5-flash-preview-05-20", "o3-mini")
Returns:
ModelProvider instance that supports this model
@@ -137,7 +137,7 @@ class ModelProviderRegistry:
2. Gemini 2.0 Flash (fast and efficient) if Gemini API key available
3. OpenAI o3 (high performance) if OpenAI API key available
4. Gemini 2.5 Pro (deep reasoning) if Gemini API key available
5. Fallback to gemini-2.0-flash (most common case)
5. Fallback to gemini-2.5-flash-preview-05-20 (most common case)
Returns:
Model name string for fallback use
@@ -150,11 +150,11 @@ class ModelProviderRegistry:
if openai_available:
return "o3-mini" # Balanced performance/cost
elif gemini_available:
return "gemini-2.0-flash" # Fast and efficient
return "gemini-2.5-flash-preview-05-20" # Fast and efficient
else:
# No API keys available - return a reasonable default
# This maintains backward compatibility for tests
return "gemini-2.0-flash"
return "gemini-2.5-flash-preview-05-20"
@classmethod
def get_available_providers_with_keys(cls) -> list[ProviderType]: