docs: update generated SDK docstring examples to use gemini-flash-latest

google/genai/batches.py

@@ -2286,7 +2286,7 @@ def create(
     .. code-block:: python
 
       batch_job = client.batches.create(
-          model="gemini-2.0-flash-001",
+          model="gemini-flash-latest",
           src="gs://path/to/input/data",
       )
       print(batch_job.state)
@@ -2916,7 +2916,7 @@ async def create(
     .. code-block:: python
 
       batch_job = await client.aio.batches.create(
-          model="gemini-2.0-flash-001",
+          model="gemini-flash-latest",
           src="gs://path/to/input/data",
       )
     """

google/genai/models.py

@@ -5748,7 +5748,7 @@ def count_tokens(
     .. code-block:: python
 
       response = client.models.count_tokens(
-          model='gemini-2.0-flash',
+          model='gemini-flash-latest',
           contents='What is your name?',
       )
       print(response)
@@ -5859,7 +5859,7 @@ def compute_tokens(
     .. code-block:: python
 
       response = client.models.compute_tokens(
-          model='gemini-2.0-flash',
+          model='gemini-flash-latest',
           contents='What is your name?',
       )
       print(response)
@@ -6119,18 +6119,18 @@ def generate_content(
 
     For the `model` parameter, supported formats for Gemini Enterprise Agent
     Platform API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The full resource name starts with 'projects/', for example:
-      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-2.0-flash'
+      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-flash-latest'
     - The partial resource name with 'publishers/', for example:
-      'publishers/google/models/gemini-2.0-flash' or
+      'publishers/google/models/gemini-flash-latest' or
     - `/` separated publisher and model name, for example:
-      'google/gemini-2.0-flash'
+      'google/gemini-flash-latest'
 
     For the `model` parameter, supported formats for Gemini API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The model name starts with 'models/', for example:
-      'models/gemini-2.0-flash'
+      'models/gemini-flash-latest'
     - For tuned models, the model name starts with 'tunedModels/',
       for example:
       'tunedModels/1234567890123456789'
@@ -6151,7 +6151,7 @@ def generate_content(
       )
 
       response = client.models.generate_content(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents='''What is a good name for a flower shop that specializes in
           selling bouquets of dried flowers?'''
       )
@@ -6162,7 +6162,7 @@ def generate_content(
       # * Timeless Petals
 
       response = client.models.generate_content(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents=[
           types.Part.from_text(text='What is shown in this image?'),
           types.Part.from_uri(file_uri='gs://generativeai-downloads/images/scones.jpg',
@@ -6290,18 +6290,18 @@ def generate_content_stream(
 
     For the `model` parameter, supported formats for Gemini Enterprise Agent
     Platform API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The full resource name starts with 'projects/', for example:
-      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-2.0-flash'
+      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-flash-latest'
     - The partial resource name with 'publishers/', for example:
-      'publishers/google/models/gemini-2.0-flash' or
+      'publishers/google/models/gemini-flash-latest' or
     - `/` separated publisher and model name, for example:
-      'google/gemini-2.0-flash'
+      'google/gemini-flash-latest'
 
     For the `model` parameter, supported formats for Gemini API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The model name starts with 'models/', for example:
-      'models/gemini-2.0-flash'
+      'models/gemini-flash-latest'
     - For tuned models, the model name starts with 'tunedModels/',
       for example:
       'tunedModels/1234567890123456789'
@@ -6322,7 +6322,7 @@ def generate_content_stream(
       )
 
       for chunk in client.models.generate_content_stream(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents='''What is a good name for a flower shop that specializes in
           selling bouquets of dried flowers?'''
       ):
@@ -6333,7 +6333,7 @@ def generate_content_stream(
       # * Timeless Petals
 
       for chunk in client.models.generate_content_stream(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents=[
           types.Part.from_text('What is shown in this image?'),
           types.Part.from_uri('gs://generativeai-downloads/images/scones.jpg',
@@ -6798,7 +6798,7 @@ def list(
 
       response=client.models.list(config={'page_size': 5, 'query_base': True})
       print(response.page)
-      # [Model(name='publishers/google/models/gemini-2.0-flash-exp' ...
+      # [Model(name='publishers/google/models/gemini-flash-latest' ...
     """
 
     config = (
@@ -7971,7 +7971,7 @@ async def count_tokens(
     .. code-block:: python
 
       response = await client.aio.models.count_tokens(
-          model='gemini-2.0-flash',
+          model='gemini-flash-latest',
           contents='What is your name?',
       )
       print(response)
@@ -8081,7 +8081,7 @@ async def compute_tokens(
     .. code-block:: python
 
       response = await client.aio.models.compute_tokens(
-          model='gemini-2.0-flash',
+          model='gemini-flash-latest',
           contents='What is your name?',
       )
       print(response)
@@ -8285,7 +8285,7 @@ async def generate_content(
       )
 
       response = await client.aio.models.generate_content(
-          model='gemini-2.0-flash',
+          model='gemini-flash-latest',
           contents='User input: I like bagels. Answer:',
           config=types.GenerateContentConfig(
               system_instruction=
@@ -8487,18 +8487,18 @@ async def generate_content_stream(
 
     For the `model` parameter, supported formats for Gemini Enterprise Agent
     Platform API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The full resource name starts with 'projects/', for example:
-      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-2.0-flash'
+      'projects/my-project-id/locations/us-central1/publishers/google/models/gemini-flash-latest'
     - The partial resource name with 'publishers/', for example:
-      'publishers/google/models/gemini-2.0-flash' or
+      'publishers/google/models/gemini-flash-latest' or
     - `/` separated publisher and model name, for example:
-      'google/gemini-2.0-flash'
+      'google/gemini-flash-latest'
 
     For the `model` parameter, supported formats for Gemini API include:
-    - The Gemini model ID, for example: 'gemini-2.0-flash'
+    - The Gemini model ID, for example: 'gemini-flash-latest'
     - The model name starts with 'models/', for example:
-      'models/gemini-2.0-flash'
+      'models/gemini-flash-latest'
     - For tuned models, the model name starts with 'tunedModels/',
       for example:
       'tunedModels/1234567890123456789'
@@ -8519,7 +8519,7 @@ async def generate_content_stream(
       )
 
       async for chunk in await client.aio.models.generate_content_stream(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents='''What is a good name for a flower shop that specializes in
           selling bouquets of dried flowers?'''
       ):
@@ -8530,7 +8530,7 @@ async def generate_content_stream(
       # * Timeless Petals
 
       async for chunk in await client.aio.models.generate_content_stream(
-        model='gemini-2.0-flash',
+        model='gemini-flash-latest',
         contents=[
           types.Part.from_text('What is shown in this image?'),
           types.Part.from_uri('gs://generativeai-downloads/images/scones.jpg',
@@ -8837,7 +8837,7 @@ async def list(
           config={'page_size': 5, 'query_base': True}
         )
       print(response.page)
-      # [Model(name='publishers/google/models/gemini-2.0-flash-exp' ...
+      # [Model(name='publishers/google/models/gemini-flash-latest' ...
     """
 
     config = (

google/genai/types.py

@@ -16278,7 +16278,7 @@ class _CreateTuningJobParametersPrivate(_common.BaseModel):
 
   base_model: Optional[str] = Field(
       default=None,
-      description="""The base model that is being tuned, e.g., "gemini-2.5-flash".""",
+      description="""The base model that is being tuned, e.g., "gemini-flash-latest".""",
   )
   pre_tuned_model: Optional[PreTunedModel] = Field(
       default=None, description="""The PreTunedModel that is being tuned."""
@@ -16296,7 +16296,7 @@ class _CreateTuningJobParametersPrivateDict(TypedDict, total=False):
   """Fine-tuning job creation parameters - optional fields."""
 
   base_model: Optional[str]
-  """The base model that is being tuned, e.g., "gemini-2.5-flash"."""
+  """The base model that is being tuned, e.g., "gemini-flash-latest"."""
 
   pre_tuned_model: Optional[PreTunedModelDict]
   """The PreTunedModel that is being tuned."""
@@ -16638,7 +16638,7 @@ class _CreateCachedContentParameters(_common.BaseModel):
 
   model: Optional[str] = Field(
       default=None,
-      description="""ID of the model to use. Example: gemini-2.0-flash""",
+      description="""ID of the model to use. Example: gemini-flash-latest""",
   )
   config: Optional[CreateCachedContentConfig] = Field(
       default=None,
@@ -16651,7 +16651,7 @@ class _CreateCachedContentParametersDict(TypedDict, total=False):
   """Parameters for caches.create method."""
 
   model: Optional[str]
-  """ID of the model to use. Example: gemini-2.0-flash"""
+  """ID of the model to use. Example: gemini-flash-latest"""
 
   config: Optional[CreateCachedContentConfigDict]
   """Configuration that contains optional parameters.
@@ -22709,7 +22709,7 @@ class CreateTuningJobParameters(_common.BaseModel):
 
   base_model: Optional[str] = Field(
       default=None,
-      description="""The base model that is being tuned, e.g., "gemini-2.5-flash".""",
+      description="""The base model that is being tuned, e.g., "gemini-flash-latest".""",
   )
   training_dataset: Optional[TuningDataset] = Field(
       default=None,
@@ -22724,7 +22724,7 @@ class CreateTuningJobParametersDict(TypedDict, total=False):
   """Fine-tuning job creation parameters - optional fields."""
 
   base_model: Optional[str]
-  """The base model that is being tuned, e.g., "gemini-2.5-flash"."""
+  """The base model that is being tuned, e.g., "gemini-flash-latest"."""
 
   training_dataset: Optional[TuningDatasetDict]
   """Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file."""