docs: Update README and codegen_instructions for structured outputs

- Use `response_json_schema` instead of `response_schema` in all examples
- Use `response.text` instead of `response.parsed`
- Removed examples demonstrating Enum response schemas

PiperOrigin-RevId: 872352935

Author: google-genai-bot

CHANGELOG.md

@@ -1,13 +1,5 @@
 # Changelog
 
-## [1.64.0](https://github.com/googleapis/python-genai/compare/v1.63.0...v1.64.0) (2026-02-18)
-
-
-### Features
-
-* Add UnifiedMetric support to Vertex Tuning evaluation config ([9a9908a](https://github.com/googleapis/python-genai/commit/9a9908a9605756a94404359187cad09b21c094e0))
-* Support multimodal embedding for Gemini Embedding 2.0 and support MaaS models in Models.embed_content() (Vertex AI API) ([af40cc6](https://github.com/googleapis/python-genai/commit/af40cc629751b2d389eecb75741e9c3531cc8e6e))
-
 ## [1.63.0](https://github.com/googleapis/python-genai/compare/v1.62.0...v1.63.0) (2026-02-11)
 
 

README.md

@@ -939,7 +939,7 @@ response = client.models.generate_content(
         'response_json_schema': user_profile
     },
 )
-print(response.parsed)
+print(response.text)
 ```
 
 #### Pydantic Model Schema support
@@ -966,7 +966,7 @@ response = client.models.generate_content(
     contents='Give me information for the United States.',
     config=types.GenerateContentConfig(
         response_mime_type='application/json',
-        response_schema=CountryInfo,
+        response_json_schema=CountryInfo.model_json_schema(),
     ),
 )
 print(response.text)
@@ -980,7 +980,7 @@ response = client.models.generate_content(
     contents='Give me information for the United States.',
     config=types.GenerateContentConfig(
         response_mime_type='application/json',
-        response_schema={
+        response_json_schema={
             'required': [
                 'name',
                 'population',
@@ -1006,60 +1006,6 @@ response = client.models.generate_content(
 print(response.text)
 ```
 
-### Enum Response Schema
-
-#### Text Response
-
-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'
-    WOODWIND = 'Woodwind'
-    BRASS = 'Brass'
-    KEYBOARD = 'Keyboard'
-
-response = client.models.generate_content(
-    model='gemini-2.5-flash',
-    contents='What instrument plays multiple notes at once?',
-    config={
-        'response_mime_type': 'text/x.enum',
-        'response_schema': InstrumentEnum,
-    },
-)
-print(response.text)
-```
-
-#### JSON Response
-
-You can also set `response_mime_type` to `'application/json'`, the response will be
-identical but in quotes.
-
-```python
-from enum import Enum
-
-class InstrumentEnum(Enum):
-    PERCUSSION = 'Percussion'
-    STRING = 'String'
-    WOODWIND = 'Woodwind'
-    BRASS = 'Brass'
-    KEYBOARD = 'Keyboard'
-
-response = client.models.generate_content(
-    model='gemini-2.5-flash',
-    contents='What instrument plays multiple notes at once?',
-    config={
-        'response_mime_type': 'application/json',
-        'response_schema': InstrumentEnum,
-    },
-)
-print(response.text)
-```
-
 ### Generate Content (Synchronous Streaming)
 
 Generate content in a streaming format so that the model outputs streams back

codegen_instructions.md

@@ -375,15 +375,15 @@ response = client.models.generate_content(
     contents='Provide a classic recipe for chocolate chip cookies.',
     config=types.GenerateContentConfig(
         response_mime_type='application/json',
-        response_schema=Recipe,
+        response_json_schema=Recipe,
     ),
 )
 
 # response.text is guaranteed to be valid JSON matching the schema
 print(response.text)
 
 # Access the response as a Pydantic object
-parsed_response = response.parsed
+recipe = Recipe.model_validate_json(response.text)
 ```
 
 ### Function Calling

google/genai/version.py

@@ -13,4 +13,4 @@
 # limitations under the License.
 #
 
-__version__ = '1.64.0' # x-release-please-version
+__version__ = '1.63.0' # x-release-please-version

pyproject.toml

@@ -3,7 +3,7 @@ requires = ["setuptools", "wheel", "twine>=6.1.0", "packaging>=24.2", "pkginfo>=
 
 [project]
 name = "google-genai"
-version = "1.64.0"
+version = "1.63.0"
 description = "GenAI Python SDK"
 readme = "README.md"
 license = "Apache-2.0"