chore: Update docs samples to use 2.5-flash.

PiperOrigin-RevId: 816831714

Author: jscud

README.md

@@ -259,7 +259,7 @@ See the 'Create a client' section above to initialize a client.
 
 ```python
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001', contents='Why is the sky blue?'
+    model='gemini-2.5-flash', contents='Why is the sky blue?'
 )
 print(response.text)
 ```
@@ -276,7 +276,7 @@ python code.
 ```python
 file = client.files.upload(file='a11.txt')
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents=['Could you summarize this file?', file]
 )
 print(response.text)
@@ -580,7 +580,7 @@ print(async_pager[0])
 from google.genai import types
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='Say something bad.',
     config=types.GenerateContentConfig(
         safety_settings=[
@@ -614,7 +614,7 @@ def get_current_weather(location: str) -> str:
 
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='What is the weather like in Boston?',
     config=types.GenerateContentConfig(tools=[get_current_weather]),
 )
@@ -630,7 +630,7 @@ as follows:
 from google.genai import types
 
 response = client.models.generate_content(
-  model='gemini-2.0-flash-001',
+  model='gemini-2.5-flash',
   contents='What is the weather like in Boston?',
   config=types.GenerateContentConfig(
     tools=[get_current_weather],
@@ -677,7 +677,7 @@ function = types.FunctionDeclaration(
 tool = types.Tool(function_declarations=[function])
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='What is the weather like in Boston?',
     config=types.GenerateContentConfig(tools=[tool]),
 )
@@ -721,7 +721,7 @@ function_response_content = types.Content(
 )
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents=[
         user_prompt_content,
         function_call_content,
@@ -756,7 +756,7 @@ def get_current_weather(location: str) -> str:
     return "sunny"
 
 response = client.models.generate_content(
-    model="gemini-2.0-flash-001",
+    model="gemini-2.5-flash",
     contents="What is the weather like in Boston?",
     config=types.GenerateContentConfig(
         tools=[get_current_weather],
@@ -786,7 +786,7 @@ def get_current_weather(location: str) -> str:
     return "sunny"
 
 response = client.models.generate_content(
-    model="gemini-2.0-flash-001",
+    model="gemini-2.5-flash",
     contents="What is the weather like in Boston?",
     config=types.GenerateContentConfig(
         tools=[get_current_weather],
@@ -876,7 +876,7 @@ user_profile = {
 }
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash',
+    model='gemini-2.5-flash',
     contents='Give me a random user profile.',
     config={
         'response_mime_type': 'application/json',
@@ -906,7 +906,7 @@ class CountryInfo(BaseModel):
 
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='Give me information for the United States.',
     config=types.GenerateContentConfig(
         response_mime_type='application/json',
@@ -920,7 +920,7 @@ print(response.text)
 from google.genai import types
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='Give me information for the United States.',
     config=types.GenerateContentConfig(
         response_mime_type='application/json',
@@ -958,6 +958,8 @@ You can set response_mime_type to 'text/x.enum' to return one of those enum
 values as the response.
 
 ```python
+from enum import Enum
+
 class InstrumentEnum(Enum):
   PERCUSSION = 'Percussion'
   STRING = 'String'
@@ -966,7 +968,7 @@ class InstrumentEnum(Enum):
   KEYBOARD = 'Keyboard'
 
 response = client.models.generate_content(
-      model='gemini-2.0-flash-001',
+      model='gemini-2.5-flash',
       contents='What instrument plays multiple notes at once?',
       config={
           'response_mime_type': 'text/x.enum',
@@ -992,7 +994,7 @@ class InstrumentEnum(Enum):
   KEYBOARD = 'Keyboard'
 
 response = client.models.generate_content(
-      model='gemini-2.0-flash-001',
+      model='gemini-2.5-flash',
       contents='What instrument plays multiple notes at once?',
       config={
           'response_mime_type': 'application/json',
@@ -1011,7 +1013,7 @@ to you, rather than being returned as one chunk.
 
 ```python
 for chunk in client.models.generate_content_stream(
-    model='gemini-2.0-flash-001', contents='Tell me a story in 300 words.'
+    model='gemini-2.5-flash', contents='Tell me a story in 300 words.'
 ):
     print(chunk.text, end='')
 ```
@@ -1025,7 +1027,7 @@ you can use the `from_uri` class method to create a `Part` object.
 from google.genai import types
 
 for chunk in client.models.generate_content_stream(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents=[
         'What is this image about?',
         types.Part.from_uri(
@@ -1049,7 +1051,7 @@ with open(YOUR_IMAGE_PATH, 'rb') as f:
     image_bytes = f.read()
 
 for chunk in client.models.generate_content_stream(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents=[
         'What is this image about?',
         types.Part.from_bytes(data=image_bytes, mime_type=YOUR_IMAGE_MIME_TYPE),
@@ -1068,7 +1070,7 @@ of `client.models.generate_content`
 
 ```python
 response = await client.aio.models.generate_content(
-    model='gemini-2.0-flash-001', contents='Tell me a story in 300 words.'
+    model='gemini-2.5-flash', contents='Tell me a story in 300 words.'
 )
 
 print(response.text)
@@ -1079,7 +1081,7 @@ print(response.text)
 
 ```python
 async for chunk in await client.aio.models.generate_content_stream(
-    model='gemini-2.0-flash-001', contents='Tell me a story in 300 words.'
+    model='gemini-2.5-flash', contents='Tell me a story in 300 words.'
 ):
     print(chunk.text, end='')
 ```
@@ -1088,7 +1090,7 @@ async for chunk in await client.aio.models.generate_content_stream(
 
 ```python
 response = client.models.count_tokens(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='why is the sky blue?',
 )
 print(response)
@@ -1100,7 +1102,7 @@ Compute tokens is only supported in Vertex AI.
 
 ```python
 response = client.models.compute_tokens(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='why is the sky blue?',
 )
 print(response)
@@ -1110,7 +1112,7 @@ print(response)
 
 ```python
 response = await client.aio.models.count_tokens(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='why is the sky blue?',
 )
 print(response)
@@ -1119,14 +1121,14 @@ print(response)
 #### Local Count Tokens
 
 ```python
-tokenizer = genai.LocalTokenizer(model_name='gemini-2.0-flash-001')
+tokenizer = genai.LocalTokenizer(model_name='gemini-2.5-flash')
 result = tokenizer.count_tokens("What is your name?")
 ```
 
 #### Local Compute Tokens
 
 ```python
-tokenizer = genai.LocalTokenizer(model_name='gemini-2.0-flash-001')
+tokenizer = genai.LocalTokenizer(model_name='gemini-2.5-flash')
 result = tokenizer.compute_tokens("What is your name?")
 ```
 
@@ -1339,7 +1341,7 @@ that it can reflect on its previous responses (i.e., engage in an ongoing
 ### Send Message (Synchronous Non-Streaming)
 
 ```python
-chat = client.chats.create(model='gemini-2.0-flash-001')
+chat = client.chats.create(model='gemini-2.5-flash')
 response = chat.send_message('tell me a story')
 print(response.text)
 response = chat.send_message('summarize the story you told me in 1 sentence')
@@ -1349,23 +1351,23 @@ print(response.text)
 ### Send Message (Synchronous Streaming)
 
 ```python
-chat = client.chats.create(model='gemini-2.0-flash-001')
+chat = client.chats.create(model='gemini-2.5-flash')
 for chunk in chat.send_message_stream('tell me a story'):
     print(chunk.text)
 ```
 
 ### Send Message (Asynchronous Non-Streaming)
 
 ```python
-chat = client.aio.chats.create(model='gemini-2.0-flash-001')
+chat = client.aio.chats.create(model='gemini-2.5-flash')
 response = await chat.send_message('tell me a story')
 print(response.text)
 ```
 
 ### Send Message (Asynchronous Streaming)
 
 ```python
-chat = client.aio.chats.create(model='gemini-2.0-flash-001')
+chat = client.aio.chats.create(model='gemini-2.5-flash')
 async for chunk in await chat.send_message_stream('tell me a story'):
     print(chunk.text)
 ```
@@ -1424,7 +1426,7 @@ else:
     file_uris = [file1.uri, file2.uri]
 
 cached_content = client.caches.create(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     config=types.CreateCachedContentConfig(
         contents=[
             types.Content(
@@ -1459,7 +1461,7 @@ cached_content = client.caches.get(name=cached_content.name)
 from google.genai import types
 
 response = client.models.generate_content(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     contents='Summarize the pdfs',
     config=types.GenerateContentConfig(
         cached_content=cached_content.name,
@@ -1481,7 +1483,7 @@ section above to initialize a client.
 ```python
 from google.genai import types
 
-model = 'gemini-2.0-flash-001'
+model = 'gemini-2.5-flash'
 training_dataset = types.TuningDataset(
   # or gcs_uri=my_vertex_multimodal_dataset
     gcs_uri='gs://cloud-samples-data/ai-platform/generative_ai/gemini-1_5/text/sft_train_data.jsonl',
@@ -1635,7 +1637,7 @@ Vertex AI:
 ```python
 # Specify model and source file only, destination and job display name will be auto-populated
 job = client.batches.create(
-    model='gemini-2.0-flash-001',
+    model='gemini-2.5-flash',
     src='bq://my-project.my-dataset.my-table',  # or "gs://path/to/input/data"
 )
 
@@ -1647,7 +1649,7 @@ Gemini Developer API:
 ```python
 # Create a batch job with inlined requests
 batch_job = client.batches.create(
-    model="gemini-2.0-flash",
+    model="gemini-2.5-flash",
     src=[{
       "contents": [{
         "parts": [{
@@ -1662,7 +1664,7 @@ batch_job = client.batches.create(
 job
 ```
 
-In order to create a batch job with file name. Need to upload a jsonl file.
+In order to create a batch job with file name. Need to upload a json file.
 For example myrequests.json:
 
 ```
@@ -1675,14 +1677,14 @@ Then upload the file.
 ```python
 # Upload the file
 file = client.files.upload(
-    file='myrequest.json',
-    config=types.UploadFileConfig(display_name='test_json')
+    file='myrequests.json',
+    config=types.UploadFileConfig(display_name='test-json')
 )
 
 # Create a batch job with file name
 batch_job = client.batches.create(
     model="gemini-2.0-flash",
-    src="files/file_name",
+    src="files/test-json",
 )
 ```