feat: add gemini 3 flash (#3585)

Co-authored-by: Wendong-Fan <[email protected]>
Co-authored-by: Wendong-Fan <[email protected]>

Author: fengju0213

camel/types/enums.py

@@ -245,6 +245,7 @@ class ModelType(UnifiedModelType, Enum):
 
     # Gemini models
     GEMINI_3_PRO = "gemini-3-pro-preview"
+    GEMINI_3_FLASH = "gemini-3-flash-preview"
     GEMINI_2_5_FLASH = "gemini-2.5-flash"
     GEMINI_2_5_PRO = "gemini-2.5-pro"
     GEMINI_2_0_FLASH = "gemini-2.0-flash"
@@ -853,6 +854,7 @@ def is_gemini(self) -> bool:
         """
         return self in {
             ModelType.GEMINI_3_PRO,
+            ModelType.GEMINI_3_FLASH,
             ModelType.GEMINI_2_5_FLASH,
             ModelType.GEMINI_2_5_PRO,
             ModelType.GEMINI_2_0_FLASH,
@@ -1557,6 +1559,7 @@ def token_limit(self) -> int:
             return 512_000
         elif self in {
             ModelType.GEMINI_3_PRO,
+            ModelType.GEMINI_3_FLASH,
             ModelType.GEMINI_2_5_FLASH,
             ModelType.GEMINI_2_5_PRO,
             ModelType.GEMINI_2_0_FLASH,

examples/models/gemini_model_example.py

@@ -69,25 +69,33 @@
 '''
 
 
-# Example of using the gemini-2.5-pro model
-model_2_5_pro_pre = ModelFactory.create(
+# Example of using the gemini-3-flash model
+model_3_flash = ModelFactory.create(
     model_platform=ModelPlatformType.GEMINI,
-    model_type=ModelType.GEMINI_2_5_PRO,
+    model_type=ModelType.GEMINI_3_FLASH,
     model_config_dict=GeminiConfig(temperature=0.2).as_dict(),
 )
-camel_agent_pro = ChatAgent(system_message=sys_msg, model=model_2_5_pro_pre)
-response_pro = camel_agent_pro.step(user_msg)
-print(response_pro.msgs[0].content)
+camel_agent_flash = ChatAgent(system_message=sys_msg, model=model_3_flash)
+user_msg = """
+Explain how Generative AI works in short language.
+"""
+response_flash = camel_agent_flash.step(user_msg)
+print(response_flash.msgs[0].content)
 
 '''
 ===============================================================================
-Hello and a big hi to the entire CAMEL AI community!
+Generative AI works in three simple steps:
 
-It's fantastic to acknowledge your dedication to
-the important and fascinating study of autonomous and communicative agents.
-Open-source collaboration is the engine of innovation,
-and your work is pushing the boundaries of what's possible in AI.
+1.  **Training:** It "reads" or "looks at" massive amounts of existing data
+(like books, code, or images) to learn patterns, styles, and structures.
+2.  **Prediction:** When you give it a prompt, it doesn't "think"—it
+calculates probability. It predicts what word, pixel, or note should come next
+based on the patterns it learned.
+3.  **Creation:** By repeating these predictions millions of times per second,
+it generates entirely new content that looks or sounds like it was made by a
+human.
 
-Keep up the brilliant research and community building
+**In short:** It is a super-powered version of **autocomplete** that uses math
+to guess the most likely next piece of information.
 ===============================================================================
 '''