fix formatting

Remove unused `messages` variable from `thinking-generate` example

examples/README.md

@@ -65,3 +65,6 @@ Requirement: `pip install tqdm`
 
 ### Thinking - Enable thinking mode for a model
 - [thinking.py](thinking.py)
+
+### Thinking (generate) - Enable thinking mode for a model
+- [thinking-generate.py](thinking-generate.py)

examples/list.py

@@ -4,6 +4,7 @@ response: ListResponse = list()
 
 for model in response.models:
   print('Name:', model.model)
+  print('  Capabilities:', model.capabilities)
   print('  Size (MB):', f'{(model.size.real / 1024 / 1024):.2f}')
   if model.details:
     print('  Format:', model.details.format)

examples/thinking-generate.py

@@ -0,0 +1,6 @@
+from ollama import generate
+
+response = generate('deepseek-r1', 'why is the sky blue', think=True)
+
+print('Thinking:\n========\n\n' + response.thinking)
+print('\nResponse:\n========\n\n' + response.response)

ollama/_client.py

@@ -190,6 +190,7 @@ class Client(BaseClient):
     template: str = '',
     context: Optional[Sequence[int]] = None,
     stream: Literal[False] = False,
+    think: Optional[bool] = None,
     raw: bool = False,
     format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
     images: Optional[Sequence[Union[str, bytes, Image]]] = None,
@@ -208,6 +209,7 @@ class Client(BaseClient):
     template: str = '',
     context: Optional[Sequence[int]] = None,
     stream: Literal[True] = True,
+    think: Optional[bool] = None,
     raw: bool = False,
     format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
     images: Optional[Sequence[Union[str, bytes, Image]]] = None,
@@ -225,6 +227,7 @@ class Client(BaseClient):
     template: Optional[str] = None,
     context: Optional[Sequence[int]] = None,
     stream: bool = False,
+    think: Optional[bool] = None,
     raw: Optional[bool] = None,
     format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
     images: Optional[Sequence[Union[str, bytes, Image]]] = None,
@@ -253,6 +256,7 @@ class Client(BaseClient):
         template=template,
         context=context,
         stream=stream,
+        think=think,
         raw=raw,
         format=format,
         images=list(_copy_images(images)) if images else None,

ollama/_types.py

@@ -464,6 +464,7 @@ class ListResponse(SubscriptableBaseModel):
     digest: Optional[str] = None
     size: Optional[ByteSize] = None
     details: Optional[ModelDetails] = None
+    capabilities: Optional[List[str]] = None
 
   models: Sequence[Model]
   'List of models.'