Add image generation support (#616 )

build(deps): bump actions/checkout from 5 to 6 (#602 )
Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-02-16 04:38:52 -06:00 · 2026-01-23 00:33:52 -08:00 · 2025-12-29 12:03:13 -08:00 · 2025-12-10 17:09:19 -08:00 · 2025-11-13 15:03:58 -08:00 · 2025-11-12 18:08:42 -08:00
44 changed files with 2672 additions and 969 deletions
--- a/.github/workflows/publish.yaml
+++ b/.github/workflows/publish.yaml
@ -13,15 +13,12 @@ jobs:
      id-token: write
      contents: write
    steps:
-      - uses: actions/checkout@v4
-      - run: pipx install poetry
-      - uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - uses: actions/setup-python@v6
+      - uses: astral-sh/setup-uv@v5
        with:
-          python-version: '3.x'
-          cache: poetry
-      - run: |
-          poetry version ${GITHUB_REF_NAME#v}
-          poetry build
+          enable-cache: true
+      - run: uv build
      - uses: pypa/gh-action-pypi-publish@release/v1
      - run: gh release upload $GITHUB_REF_NAME dist/*
        env:
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@ -8,39 +8,29 @@ on:

 jobs:
  test:
-    strategy:
-      matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13']
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v4
-      - run: pipx install poetry
-      - uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - uses: astral-sh/setup-uv@v5
        with:
-          python-version: ${{ matrix.python-version }}
-          cache: poetry
-      - run: poetry install --with=dev
-      - run: poetry run pytest . --junitxml=junit/test-results-${{ matrix.python-version }}.xml --cov=ollama --cov-report=xml --cov-report=html
-      - uses: actions/upload-artifact@v4
-        with:
-          name: pytest-results-${{ matrix.python-version }}
-          path: junit/test-results-${{ matrix.python-version }}.xml
+          enable-cache: true
+      - run: uvx hatch test -acp
        if: ${{ always() }}
  lint:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v4
-      - run: pipx install poetry
-      - uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - uses: actions/setup-python@v6
+      - uses: astral-sh/setup-uv@v5
        with:
-          python-version: "3.13"
-          cache: poetry
-      - run: poetry install --with=dev
-      - run: poetry run ruff check --output-format=github .
-      - run: poetry run ruff format --check .
-      - name: check poetry.lock is up-to-date
-        run: poetry check --lock
+          enable-cache: true
+      - name: check formatting
+        run: uvx hatch fmt --check -f
+      - name: check linting
+        run: uvx hatch fmt --check -l --output-format=github
+      - name: check uv.lock is up-to-date
+        run: uv lock --check
      - name: check requirements.txt is up-to-date
        run: |
-          poetry export >requirements.txt
+          uv export >requirements.txt
          git diff --exit-code requirements.txt
--- a/README.md
+++ b/README.md
@ -5,7 +5,7 @@ The Ollama Python library provides the easiest way to integrate Python 3.8+ proj
 ## Prerequisites

 - [Ollama](https://ollama.com/download) should be installed and running
- Pull a model to use with the library: `ollama pull <model>` e.g. `ollama pull llama3.2`
+- Pull a model to use with the library: `ollama pull <model>` e.g. `ollama pull gemma3`
  - See [Ollama.com](https://ollama.com/search) for more information on the models available.

 ## Install
@ -20,7 +20,7 @@ pip install ollama
 from ollama import chat
 from ollama import ChatResponse

-response: ChatResponse = chat(model='llama3.2', messages=[
+response: ChatResponse = chat(model='gemma3', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
@ -41,7 +41,7 @@ Response streaming can be enabled by setting `stream=True`.
 from ollama import chat

 stream = chat(
-    model='llama3.2',
+    model='gemma3',
    messages=[{'role': 'user', 'content': 'Why is the sky blue?'}],
    stream=True,
 )
@ -50,6 +50,82 @@ for chunk in stream:
  print(chunk['message']['content'], end='', flush=True)
 ```

+## Cloud Models
+
+Run larger models by offloading to Ollama’s cloud while keeping your local workflow.
+
+- Supported models: `deepseek-v3.1:671b-cloud`, `gpt-oss:20b-cloud`, `gpt-oss:120b-cloud`, `kimi-k2:1t-cloud`, `qwen3-coder:480b-cloud`, `kimi-k2-thinking` See [Ollama Models - Cloud](https://ollama.com/search?c=cloud) for more information
+
+### Run via local Ollama
+
+1) Sign in (one-time):
+
+```
+ollama signin
+```
+
+2) Pull a cloud model:
+
+```
+ollama pull gpt-oss:120b-cloud
+```
+
+3) Make a request:
+
+```python
+from ollama import Client
+
+client = Client()
+
+messages = [
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+]
+
+for part in client.chat('gpt-oss:120b-cloud', messages=messages, stream=True):
+  print(part.message.content, end='', flush=True)
+```
+
+### Cloud API (ollama.com)
+
+Access cloud models directly by pointing the client at `https://ollama.com`.
+
+1) Create an API key from [ollama.com](https://ollama.com/settings/keys) , then set:
+
+```
+export OLLAMA_API_KEY=your_api_key
+```
+
+2) (Optional) List models available via the API:
+
+```
+curl https://ollama.com/api/tags
+```
+
+3) Generate a response via the cloud API:
+
+```python
+import os
+from ollama import Client
+
+client = Client(
+    host='https://ollama.com',
+    headers={'Authorization': 'Bearer ' + os.environ.get('OLLAMA_API_KEY')}
+)
+
+messages = [
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+]
+
+for part in client.chat('gpt-oss:120b', messages=messages, stream=True):
+  print(part.message.content, end='', flush=True)
+```
+
 ## Custom client
 A custom client can be created by instantiating `Client` or `AsyncClient` from `ollama`.

@ -61,7 +137,7 @@ client = Client(
  host='http://localhost:11434',
  headers={'x-some-header': 'some-value'}
 )
-response = client.chat(model='llama3.2', messages=[
+response = client.chat(model='gemma3', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
@ -79,7 +155,7 @@ from ollama import AsyncClient

 async def chat():
  message = {'role': 'user', 'content': 'Why is the sky blue?'}
-  response = await AsyncClient().chat(model='llama3.2', messages=[message])
+  response = await AsyncClient().chat(model='gemma3', messages=[message])

 asyncio.run(chat())
 ```
@ -92,7 +168,7 @@ from ollama import AsyncClient

 async def chat():
  message = {'role': 'user', 'content': 'Why is the sky blue?'}
-  async for part in await AsyncClient().chat(model='llama3.2', messages=[message], stream=True):
+  async for part in await AsyncClient().chat(model='gemma3', messages=[message], stream=True):
    print(part['message']['content'], end='', flush=True)

 asyncio.run(chat())
@ -105,13 +181,13 @@ The Ollama Python library's API is designed around the [Ollama REST API](https:/
 ### Chat

 ```python
-ollama.chat(model='llama3.2', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+ollama.chat(model='gemma3', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
 ```

 ### Generate

 ```python
-ollama.generate(model='llama3.2', prompt='Why is the sky blue?')
+ollama.generate(model='gemma3', prompt='Why is the sky blue?')
 ```

 ### List
@ -123,49 +199,49 @@ ollama.list()
 ### Show

 ```python
-ollama.show('llama3.2')
+ollama.show('gemma3')
 ```

 ### Create

 ```python
-ollama.create(model='example', from_='llama3.2', system="You are Mario from Super Mario Bros.")
+ollama.create(model='example', from_='gemma3', system="You are Mario from Super Mario Bros.")
 ```

 ### Copy

 ```python
-ollama.copy('llama3.2', 'user/llama3.2')
+ollama.copy('gemma3', 'user/gemma3')
 ```

 ### Delete

 ```python
-ollama.delete('llama3.2')
+ollama.delete('gemma3')
 ```

 ### Pull

 ```python
-ollama.pull('llama3.2')
+ollama.pull('gemma3')
 ```

 ### Push

 ```python
-ollama.push('user/llama3.2')
+ollama.push('user/gemma3')
 ```

 ### Embed

 ```python
-ollama.embed(model='llama3.2', input='The sky is blue because of rayleigh scattering')
+ollama.embed(model='gemma3', input='The sky is blue because of rayleigh scattering')
 ```

 ### Embed (batch)

 ```python
-ollama.embed(model='llama3.2', input=['The sky is blue because of rayleigh scattering', 'Grass is green because of chlorophyll'])
+ollama.embed(model='gemma3', input=['The sky is blue because of rayleigh scattering', 'Grass is green because of chlorophyll'])
 ```

 ### Ps
@ -174,7 +250,6 @@ ollama.embed(model='llama3.2', input=['The sky is blue because of rayleigh scatt
 ollama.ps()
 ```

-
 ## Errors

 Errors are raised if requests return an error status or if an error is detected while streaming.
--- a/SECURITY.md
+++ b/SECURITY.md
@ -0,0 +1,25 @@
+# Security
+
+The Ollama maintainer team takes security seriously and will actively work to resolve security issues.
+
+## Reporting a vulnerability
+
+If you discover a security vulnerability, please do not open a public issue. Instead, please report it by emailing hello@ollama.com. We ask that you give us sufficient time to investigate and address the vulnerability before disclosing it publicly.
+
+Please include the following details in your report:
+- A description of the vulnerability
+- Steps to reproduce the issue
+- Your assessment of the potential impact
+- Any possible mitigations
+
+## Security best practices
+
+While the maintainer team does their best to secure Ollama, users are encouraged to implement their own security best practices, such as:
+
+- Regularly updating to the latest version of Ollama
+- Securing access to hosted instances of Ollama
+- Monitoring systems for unusual activity
+
+## Contact
+
+For any other questions or concerns related to security, please contact us at hello@ollama.com
--- a/examples/README.md
+++ b/examples/README.md
@ -1,61 +1,129 @@
 # Running Examples

 Run the examples in this directory with:
+
 ```sh
 # Run example
 python3 examples/<example>.py
+
+# or with uv
+uv run examples/<example>.py
 ```

 See [ollama/docs/api.md](https://github.com/ollama/ollama/blob/main/docs/api.md) for full API documentation

 ### Chat - Chat with a model
+
 - [chat.py](chat.py)
 - [async-chat.py](async-chat.py)
 - [chat-stream.py](chat-stream.py) - Streamed outputs
 - [chat-with-history.py](chat-with-history.py) - Chat with model and maintain history of the conversation

-
 ### Generate - Generate text with a model
+
 - [generate.py](generate.py)
 - [async-generate.py](async-generate.py)
 - [generate-stream.py](generate-stream.py) - Streamed outputs
 - [fill-in-middle.py](fill-in-middle.py) - Given a prefix and suffix, fill in the middle

-
 ### Tools/Function Calling - Call a function with a model
+
 - [tools.py](tools.py) - Simple example of Tools/Function Calling
 - [async-tools.py](async-tools.py)
+- [multi-tool.py](multi-tool.py) - Using multiple tools, with thinking enabled

+#### gpt-oss
+
+- [gpt-oss-tools.py](gpt-oss-tools.py)
+- [gpt-oss-tools-stream.py](gpt-oss-tools-stream.py)
+
+### Web search
+
+An API key from Ollama's cloud service is required. You can create one [here](https://ollama.com/settings/keys).
+
+```shell
+export OLLAMA_API_KEY="your_api_key_here"
+```
+
+- [web-search.py](web-search.py)
+- [web-search-gpt-oss.py](web-search-gpt-oss.py) - Using browser research tools with gpt-oss
+
+#### MCP server
+
+The MCP server can be used with an MCP client like Cursor, Cline, Codex, Open WebUI, Goose, and more.
+
+```sh
+uv run examples/web-search-mcp.py
+```
+
+Configuration to use with an MCP client:
+
+```json
+{
+  "mcpServers": {
+    "web_search": {
+      "type": "stdio",
+      "command": "uv",
+      "args": ["run", "path/to/ollama-python/examples/web-search-mcp.py"],
+      "env": { "OLLAMA_API_KEY": "your_api_key_here" }
+    }
+  }
+}
+```
+
+- [web-search-mcp.py](web-search-mcp.py)

 ### Multimodal with Images - Chat with a multimodal (image chat) model
- [multimodal_chat.py](multimodal_chat.py)
- [multimodal_generate.py](multimodal_generate.py)

+- [multimodal-chat.py](multimodal-chat.py)
+- [multimodal-generate.py](multimodal-generate.py)
+
+### Image Generation (Experimental) - Generate images with a model
+
+> **Note:** Image generation is experimental and currently only available on macOS.
+
+- [generate-image.py](generate-image.py)

 ### Structured Outputs - Generate structured outputs with a model
+
 - [structured-outputs.py](structured-outputs.py)
 - [async-structured-outputs.py](async-structured-outputs.py)
 - [structured-outputs-image.py](structured-outputs-image.py)

-
 ### Ollama List - List all downloaded models and their properties
+
 - [list.py](list.py)

+### Ollama Show - Display model properties and capabilities
+
+- [show.py](show.py)

 ### Ollama ps - Show model status with CPU/GPU usage
+
 - [ps.py](ps.py)

-
 ### Ollama Pull - Pull a model from Ollama
-Requirement: `pip install tqdm`
- [pull.py](pull.py) 

+Requirement: `pip install tqdm`
+
+- [pull.py](pull.py)

 ### Ollama Create - Create a model from a Modelfile
- [create.py](create.py) 
-

+- [create.py](create.py)

 ### Ollama Embed - Generate embeddings with a model
+
 - [embed.py](embed.py)

+### 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)
+
+### Thinking (levels) - Choose the thinking level
+
+- [thinking-levels.py](thinking-levels.py)
--- a/examples/async-chat.py
+++ b/examples/async-chat.py
@ -12,7 +12,7 @@ async def main():
  ]

  client = AsyncClient()
-  response = await client.chat('llama3.2', messages=messages)
+  response = await client.chat('gemma3', messages=messages)
  print(response['message']['content'])


--- a/examples/async-generate.py
+++ b/examples/async-generate.py
@ -5,7 +5,7 @@ import ollama

 async def main():
  client = ollama.AsyncClient()
-  response = await client.generate('llama3.2', 'Why is the sky blue?')
+  response = await client.generate('gemma3', 'Why is the sky blue?')
  print(response['response'])


--- a/examples/async-tools.py
+++ b/examples/async-tools.py
@ -76,7 +76,7 @@ async def main():
  if response.message.tool_calls:
    # Add the function response to messages for the model to use
    messages.append(response.message)
-    messages.append({'role': 'tool', 'content': str(output), 'name': tool.function.name})
+    messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})

    # Get final response from model with function outputs
    final_response = await client.chat('llama3.1', messages=messages)
--- a/examples/chat-logprobs.py
+++ b/examples/chat-logprobs.py
@ -0,0 +1,31 @@
+from typing import Iterable
+
+import ollama
+
+
+def print_logprobs(logprobs: Iterable[dict], label: str) -> None:
+  print(f'\n{label}:')
+  for entry in logprobs:
+    token = entry.get('token', '')
+    logprob = entry.get('logprob')
+    print(f'  token={token!r:<12} logprob={logprob:.3f}')
+    for alt in entry.get('top_logprobs', []):
+      if alt['token'] != token:
+        print(f'    alt -> {alt["token"]!r:<12} ({alt["logprob"]:.3f})')
+
+
+messages = [
+  {
+    'role': 'user',
+    'content': 'hi! be concise.',
+  },
+]
+
+response = ollama.chat(
+  model='gemma3',
+  messages=messages,
+  logprobs=True,
+  top_logprobs=3,
+)
+print('Chat response:', response['message']['content'])
+print_logprobs(response.get('logprobs', []), 'chat logprobs')
--- a/examples/chat-stream.py
+++ b/examples/chat-stream.py
@ -7,7 +7,5 @@ messages = [
  },
 ]

-for part in chat('llama3.2', messages=messages, stream=True):
+for part in chat('gemma3', messages=messages, stream=True):
  print(part['message']['content'], end='', flush=True)
-
-print()
--- a/examples/chat-with-history.py
+++ b/examples/chat-with-history.py
@ -15,18 +15,16 @@ messages = [
  },
  {
    'role': 'assistant',
-    'content': 'The weather in Tokyo is typically warm and humid during the summer months, with temperatures often exceeding 30°C (86°F). The city experiences a rainy season from June to September, with heavy rainfall and occasional typhoons. Winter is mild, with temperatures rarely dropping below freezing. The city is known for its high-tech and vibrant culture, with many popular tourist attractions such as the Tokyo Tower, Senso-ji Temple, and the bustling Shibuya district.',
+    'content': """The weather in Tokyo is typically warm and humid during the summer months, with temperatures often exceeding 30°C (86°F). The city experiences a rainy season from June to September, with heavy rainfall and occasional typhoons. Winter is mild, with temperatures
+    rarely dropping below freezing. The city is known for its high-tech and vibrant culture, with many popular tourist attractions such as the Tokyo Tower, Senso-ji Temple, and the bustling Shibuya district.""",
  },
 ]

 while True:
  user_input = input('Chat with history: ')
  response = chat(
-    'llama3.2',
-    messages=messages
-    + [
-      {'role': 'user', 'content': user_input},
-    ],
+    'gemma3',
+    messages=[*messages, {'role': 'user', 'content': user_input}],
  )

  # Add the response to the messages to maintain the history
--- a/examples/chat.py
+++ b/examples/chat.py
@ -7,5 +7,5 @@ messages = [
  },
 ]

-response = chat('llama3.2', messages=messages)
+response = chat('gemma3', messages=messages)
 print(response['message']['content'])
--- a/examples/create.py
+++ b/examples/create.py
@ -3,7 +3,7 @@ from ollama import Client
 client = Client()
 response = client.create(
  model='my-assistant',
-  from_='llama3.2',
+  from_='gemma3',
  system='You are mario from Super Mario Bros.',
  stream=False,
 )
--- a/examples/generate-image.py
+++ b/examples/generate-image.py
@ -0,0 +1,18 @@
+# Image generation is experimental and currently only available on macOS
+
+import base64
+
+from ollama import generate
+
+prompt = 'a sunset over mountains'
+print(f'Prompt: {prompt}')
+
+for response in generate(model='x/z-image-turbo', prompt=prompt, stream=True):
+  if response.image:
+    # Final response contains the image
+    with open('output.png', 'wb') as f:
+      f.write(base64.b64decode(response.image))
+    print('\nImage saved to output.png')
+  elif response.total:
+    # Progress update
+    print(f'Progress: {response.completed or 0}/{response.total}', end='\r')
--- a/examples/generate-logprobs.py
+++ b/examples/generate-logprobs.py
@ -0,0 +1,24 @@
+from typing import Iterable
+
+import ollama
+
+
+def print_logprobs(logprobs: Iterable[dict], label: str) -> None:
+  print(f'\n{label}:')
+  for entry in logprobs:
+    token = entry.get('token', '')
+    logprob = entry.get('logprob')
+    print(f'  token={token!r:<12} logprob={logprob:.3f}')
+    for alt in entry.get('top_logprobs', []):
+      if alt['token'] != token:
+        print(f'    alt -> {alt["token"]!r:<12} ({alt["logprob"]:.3f})')
+
+
+response = ollama.generate(
+  model='gemma3',
+  prompt='hi! be concise.',
+  logprobs=True,
+  top_logprobs=3,
+)
+print('Generate response:', response['response'])
+print_logprobs(response.get('logprobs', []), 'generate logprobs')
--- a/examples/generate-stream.py
+++ b/examples/generate-stream.py
@ -1,4 +1,4 @@
 from ollama import generate

-for part in generate('llama3.2', 'Why is the sky blue?', stream=True):
+for part in generate('gemma3', 'Why is the sky blue?', stream=True):
  print(part['response'], end='', flush=True)
--- a/examples/generate.py
+++ b/examples/generate.py
@ -1,4 +1,4 @@
 from ollama import generate

-response = generate('llama3.2', 'Why is the sky blue?')
+response = generate('gemma3', 'Why is the sky blue?')
 print(response['response'])
--- a/examples/gpt-oss-tools-stream.py
+++ b/examples/gpt-oss-tools-stream.py
@ -0,0 +1,105 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "gpt-oss",
+#     "ollama",
+#     "rich",
+# ]
+# ///
+import random
+from typing import Iterator
+
+from rich import print
+
+from ollama import Client
+from ollama._types import ChatResponse
+
+
+def get_weather(city: str) -> str:
+  """
+  Get the current temperature for a city
+
+  Args:
+      city (str): The name of the city
+
+  Returns:
+      str: The current temperature
+  """
+  temperatures = list(range(-10, 35))
+
+  temp = random.choice(temperatures)
+
+  return f'The temperature in {city} is {temp}°C'
+
+
+def get_weather_conditions(city: str) -> str:
+  """
+  Get the weather conditions for a city
+
+  Args:
+      city (str): The name of the city
+
+  Returns:
+      str: The current weather conditions
+  """
+  conditions = ['sunny', 'cloudy', 'rainy', 'snowy', 'foggy']
+  return random.choice(conditions)
+
+
+available_tools = {'get_weather': get_weather, 'get_weather_conditions': get_weather_conditions}
+
+messages = [{'role': 'user', 'content': 'What is the weather like in London? What are the conditions in Toronto?'}]
+
+client = Client(
+  # Ollama Turbo
+  # host="https://ollama.com", headers={'Authorization': (os.getenv('OLLAMA_API_KEY'))}
+)
+
+model = 'gpt-oss:20b'
+# gpt-oss can call tools while "thinking"
+# a loop is needed to call the tools and get the results
+final = True
+while True:
+  response_stream: Iterator[ChatResponse] = client.chat(model=model, messages=messages, tools=[get_weather, get_weather_conditions], stream=True)
+  tool_calls = []
+  thinking = ''
+  content = ''
+
+  for chunk in response_stream:
+    if chunk.message.tool_calls:
+      tool_calls.extend(chunk.message.tool_calls)
+
+    if chunk.message.content:
+      if not (chunk.message.thinking or chunk.message.thinking == '') and final:
+        print('\n\n' + '=' * 10)
+        print('Final result: ')
+        final = False
+      print(chunk.message.content, end='', flush=True)
+
+    if chunk.message.thinking:
+      # accumulate thinking
+      thinking += chunk.message.thinking
+      print(chunk.message.thinking, end='', flush=True)
+
+  if thinking != '' or content != '' or len(tool_calls) > 0:
+    messages.append({'role': 'assistant', 'thinking': thinking, 'content': content, 'tool_calls': tool_calls})
+
+  print()
+
+  if tool_calls:
+    for tool_call in tool_calls:
+      function_to_call = available_tools.get(tool_call.function.name)
+      if function_to_call:
+        print('\nCalling tool:', tool_call.function.name, 'with arguments: ', tool_call.function.arguments)
+        result = function_to_call(**tool_call.function.arguments)
+        print('Tool result: ', result + '\n')
+
+        result_message = {'role': 'tool', 'content': result, 'tool_name': tool_call.function.name}
+        messages.append(result_message)
+      else:
+        print(f'Tool {tool_call.function.name} not found')
+        messages.append({'role': 'tool', 'content': f'Tool {tool_call.function.name} not found', 'tool_name': tool_call.function.name})
+
+  else:
+    # no more tool calls, we can stop the loop
+    break
--- a/examples/gpt-oss-tools.py
+++ b/examples/gpt-oss-tools.py
@ -0,0 +1,84 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "gpt-oss",
+#     "ollama",
+#     "rich",
+# ]
+# ///
+import random
+
+from rich import print
+
+from ollama import Client
+from ollama._types import ChatResponse
+
+
+def get_weather(city: str) -> str:
+  """
+  Get the current temperature for a city
+
+  Args:
+      city (str): The name of the city
+
+  Returns:
+      str: The current temperature
+  """
+  temperatures = list(range(-10, 35))
+
+  temp = random.choice(temperatures)
+
+  return f'The temperature in {city} is {temp}°C'
+
+
+def get_weather_conditions(city: str) -> str:
+  """
+  Get the weather conditions for a city
+
+  Args:
+      city (str): The name of the city
+
+  Returns:
+      str: The current weather conditions
+  """
+  conditions = ['sunny', 'cloudy', 'rainy', 'snowy', 'foggy']
+  return random.choice(conditions)
+
+
+available_tools = {'get_weather': get_weather, 'get_weather_conditions': get_weather_conditions}
+
+messages = [{'role': 'user', 'content': 'What is the weather like in London? What are the conditions in Toronto?'}]
+
+
+client = Client(
+  # Ollama Turbo
+  # host="https://ollama.com", headers={'Authorization': (os.getenv('OLLAMA_API_KEY'))}
+)
+model = 'gpt-oss:20b'
+# gpt-oss can call tools while "thinking"
+# a loop is needed to call the tools and get the results
+while True:
+  response: ChatResponse = client.chat(model=model, messages=messages, tools=[get_weather, get_weather_conditions])
+
+  if response.message.content:
+    print('Content: ')
+    print(response.message.content + '\n')
+  if response.message.thinking:
+    print('Thinking: ')
+    print(response.message.thinking + '\n')
+
+  messages.append(response.message)
+
+  if response.message.tool_calls:
+    for tool_call in response.message.tool_calls:
+      function_to_call = available_tools.get(tool_call.function.name)
+      if function_to_call:
+        result = function_to_call(**tool_call.function.arguments)
+        print('Result from tool call name: ', tool_call.function.name, 'with arguments: ', tool_call.function.arguments, 'result: ', result + '\n')
+        messages.append({'role': 'tool', 'content': result, 'tool_name': tool_call.function.name})
+      else:
+        print(f'Tool {tool_call.function.name} not found')
+        messages.append({'role': 'tool', 'content': f'Tool {tool_call.function.name} not found', 'tool_name': tool_call.function.name})
+  else:
+    # no more tool calls, we can stop the loop
+    break
--- a/examples/multi-tool.py
+++ b/examples/multi-tool.py
@ -0,0 +1,88 @@
+import random
+from typing import Iterator
+
+from ollama import ChatResponse, Client
+
+
+def get_temperature(city: str) -> int:
+  """
+  Get the temperature for a city in Celsius
+
+  Args:
+    city (str): The name of the city
+
+  Returns:
+    int: The current temperature in Celsius
+  """
+  # This is a mock implementation - would need to use a real weather API
+  import random
+
+  if city not in ['London', 'Paris', 'New York', 'Tokyo', 'Sydney']:
+    return 'Unknown city'
+
+  return str(random.randint(0, 35)) + ' degrees Celsius'
+
+
+def get_conditions(city: str) -> str:
+  """
+  Get the weather conditions for a city
+  """
+  if city not in ['London', 'Paris', 'New York', 'Tokyo', 'Sydney']:
+    return 'Unknown city'
+  # This is a mock implementation - would need to use a real weather API
+  conditions = ['sunny', 'cloudy', 'rainy', 'snowy']
+  return random.choice(conditions)
+
+
+available_functions = {
+  'get_temperature': get_temperature,
+  'get_conditions': get_conditions,
+}
+
+
+cities = ['London', 'Paris', 'New York', 'Tokyo', 'Sydney']
+city = random.choice(cities)
+city2 = random.choice(cities)
+messages = [{'role': 'user', 'content': f'What is the temperature in {city}? and what are the weather conditions in {city2}?'}]
+print('----- Prompt:', messages[0]['content'], '\n')
+
+model = 'qwen3'
+client = Client()
+response: Iterator[ChatResponse] = client.chat(model, stream=True, messages=messages, tools=[get_temperature, get_conditions], think=True)
+
+for chunk in response:
+  if chunk.message.thinking:
+    print(chunk.message.thinking, end='', flush=True)
+  if chunk.message.content:
+    print(chunk.message.content, end='', flush=True)
+  if chunk.message.tool_calls:
+    for tool in chunk.message.tool_calls:
+      if function_to_call := available_functions.get(tool.function.name):
+        print('\nCalling function:', tool.function.name, 'with arguments:', tool.function.arguments)
+        output = function_to_call(**tool.function.arguments)
+        print('> Function output:', output, '\n')
+
+        # Add the assistant message and tool call result to the messages
+        messages.append(chunk.message)
+        messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})
+      else:
+        print('Function', tool.function.name, 'not found')
+
+print('----- Sending result back to model \n')
+if any(msg.get('role') == 'tool' for msg in messages):
+  res = client.chat(model, stream=True, tools=[get_temperature, get_conditions], messages=messages, think=True)
+  done_thinking = False
+  for chunk in res:
+    if chunk.message.thinking:
+      print(chunk.message.thinking, end='', flush=True)
+    if chunk.message.content:
+      if not done_thinking:
+        print('\n----- Final result:')
+        done_thinking = True
+      print(chunk.message.content, end='', flush=True)
+    if chunk.message.tool_calls:
+      # Model should be explaining the tool calls and the results in this output
+      print('Model returned tool calls:')
+      print(chunk.message.tool_calls)
+else:
+  print('No tool calls returned')
--- a/examples/multimodal-chat.py
+++ b/examples/multimodal-chat.py
@ -11,7 +11,7 @@ path = input('Please enter the path to the image: ')
 # img = Path(path).read_bytes()

 response = chat(
-  model='llama3.2-vision',
+  model='gemma3',
  messages=[
    {
      'role': 'user',
--- a/examples/multimodal-generate.py
+++ b/examples/multimodal-generate.py
@ -8,10 +8,7 @@ from ollama import generate
 latest = httpx.get('https://xkcd.com/info.0.json')
 latest.raise_for_status()

-if len(sys.argv) > 1:
-  num = int(sys.argv[1])
-else:
-  num = random.randint(1, latest.json().get('num'))
+num = int(sys.argv[1]) if len(sys.argv) > 1 else random.randint(1, latest.json().get('num'))

 comic = httpx.get(f'https://xkcd.com/{num}/info.0.json')
 comic.raise_for_status()
--- a/examples/ps.py
+++ b/examples/ps.py
@ -1,7 +1,7 @@
 from ollama import ProcessResponse, chat, ps, pull

 # Ensure at least one model is loaded
-response = pull('llama3.2', stream=True)
+response = pull('gemma3', stream=True)
 progress_states = set()
 for progress in response:
  if progress.get('status') in progress_states:
@ -12,7 +12,7 @@ for progress in response:
 print('\n')

 print('Waiting for model to load... \n')
-chat(model='llama3.2', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+chat(model='gemma3', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])


 response: ProcessResponse = ps()
@ -23,4 +23,5 @@ for model in response.models:
  print('  Size: ', model.size)
  print('  Size vram: ', model.size_vram)
  print('  Details: ', model.details)
+  print('  Context length: ', model.context_length)
  print('\n')
--- a/examples/pull.py
+++ b/examples/pull.py
@ -3,7 +3,7 @@ from tqdm import tqdm
 from ollama import pull

 current_digest, bars = '', {}
-for progress in pull('llama3.2', stream=True):
+for progress in pull('gemma3', stream=True):
  digest = progress.get('digest', '')
  if digest != current_digest and current_digest in bars:
    bars[current_digest].close()
--- a/examples/show.py
+++ b/examples/show.py
@ -0,0 +1,12 @@
+from ollama import ShowResponse, show
+
+response: ShowResponse = show('gemma3')
+print('Model Information:')
+print(f'Modified at:   {response.modified_at}')
+print(f'Template:      {response.template}')
+print(f'Modelfile:     {response.modelfile}')
+print(f'License:       {response.license}')
+print(f'Details:       {response.details}')
+print(f'Model Info:    {response.modelinfo}')
+print(f'Parameters:    {response.parameters}')
+print(f'Capabilities:  {response.capabilities}')
--- a/examples/structured-outputs-image.py
+++ b/examples/structured-outputs-image.py
@ -33,7 +33,7 @@ if not path.exists():

 # Set up chat as usual
 response = chat(
-  model='llama3.2-vision',
+  model='gemma3',
  format=ImageDescription.model_json_schema(),  # Pass in the schema for the response
  messages=[
    {
--- a/examples/thinking-generate.py
+++ b/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)
--- a/examples/thinking-levels.py
+++ b/examples/thinking-levels.py
@ -0,0 +1,26 @@
+from ollama import chat
+
+
+def heading(text):
+  print(text)
+  print('=' * len(text))
+
+
+messages = [
+  {'role': 'user', 'content': 'What is 10 + 23?'},
+]
+
+# gpt-oss supports 'low', 'medium', 'high'
+levels = ['low', 'medium', 'high']
+for i, level in enumerate(levels):
+  response = chat('gpt-oss:20b', messages=messages, think=level)
+
+  heading(f'Thinking ({level})')
+  print(response.message.thinking)
+  print('\n')
+  heading('Response')
+  print(response.message.content)
+  print('\n')
+  if i < len(levels) - 1:
+    print('-' * 20)
+    print('\n')
--- a/examples/thinking.py
+++ b/examples/thinking.py
@ -0,0 +1,13 @@
+from ollama import chat
+
+messages = [
+  {
+    'role': 'user',
+    'content': 'What is 10 + 23?',
+  },
+]
+
+response = chat('deepseek-r1', messages=messages, think=True)
+
+print('Thinking:\n========\n\n' + response.message.thinking)
+print('\nResponse:\n========\n\n' + response.message.content)
--- a/examples/tools.py
+++ b/examples/tools.py
@ -12,14 +12,19 @@ def add_two_numbers(a: int, b: int) -> int:
  Returns:
    int: The sum of the two numbers
  """
-  return a + b
+
+  # The cast is necessary as returned tool call arguments don't always conform exactly to schema
+  # E.g. this would prevent "what is 30 + 12" to produce '3012' instead of 42
+  return int(a) + int(b)


 def subtract_two_numbers(a: int, b: int) -> int:
  """
  Subtract two numbers
  """
-  return a - b
+
+  # The cast is necessary as returned tool call arguments don't always conform exactly to schema
+  return int(a) - int(b)


 # Tools can still be manually defined and passed into chat
@ -69,7 +74,7 @@ if response.message.tool_calls:
 if response.message.tool_calls:
  # Add the function response to messages for the model to use
  messages.append(response.message)
-  messages.append({'role': 'tool', 'content': str(output), 'name': tool.function.name})
+  messages.append({'role': 'tool', 'content': str(output), 'tool_name': tool.function.name})

  # Get final response from model with function outputs
  final_response = chat('llama3.1', messages=messages)
--- a/examples/web-search-gpt-oss.py
+++ b/examples/web-search-gpt-oss.py
@ -0,0 +1,99 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "ollama",
+# ]
+# ///
+from typing import Any, Dict, List
+
+from web_search_gpt_oss_helper import Browser
+
+from ollama import Client
+
+
+def main() -> None:
+  client = Client()
+  browser = Browser(initial_state=None, client=client)
+
+  def browser_search(query: str, topn: int = 10) -> str:
+    return browser.search(query=query, topn=topn)['pageText']
+
+  def browser_open(id: int | str | None = None, cursor: int = -1, loc: int = -1, num_lines: int = -1) -> str:
+    return browser.open(id=id, cursor=cursor, loc=loc, num_lines=num_lines)['pageText']
+
+  def browser_find(pattern: str, cursor: int = -1, **_: Any) -> str:
+    return browser.find(pattern=pattern, cursor=cursor)['pageText']
+
+  browser_search_schema = {
+    'type': 'function',
+    'function': {
+      'name': 'browser.search',
+    },
+  }
+
+  browser_open_schema = {
+    'type': 'function',
+    'function': {
+      'name': 'browser.open',
+    },
+  }
+
+  browser_find_schema = {
+    'type': 'function',
+    'function': {
+      'name': 'browser.find',
+    },
+  }
+
+  available_tools = {
+    'browser.search': browser_search,
+    'browser.open': browser_open,
+    'browser.find': browser_find,
+  }
+
+  query = "what is ollama's new engine"
+  print('Prompt:', query, '\n')
+
+  messages: List[Dict[str, Any]] = [{'role': 'user', 'content': query}]
+
+  while True:
+    resp = client.chat(
+      model='gpt-oss:120b-cloud',
+      messages=messages,
+      tools=[browser_search_schema, browser_open_schema, browser_find_schema],
+      think=True,
+    )
+
+    if resp.message.thinking:
+      print('Thinking:\n========\n')
+      print(resp.message.thinking + '\n')
+
+    if resp.message.content:
+      print('Response:\n========\n')
+      print(resp.message.content + '\n')
+
+    messages.append(resp.message)
+
+    if not resp.message.tool_calls:
+      break
+
+    for tc in resp.message.tool_calls:
+      tool_name = tc.function.name
+      args = tc.function.arguments or {}
+      print(f'Tool name: {tool_name}, args: {args}')
+      fn = available_tools.get(tool_name)
+      if not fn:
+        messages.append({'role': 'tool', 'content': f'Tool {tool_name} not found', 'tool_name': tool_name})
+        continue
+
+      try:
+        result_text = fn(**args)
+        print('Result: ', result_text[:200] + '...')
+      except Exception as e:
+        result_text = f'Error from {tool_name}: {e}'
+
+      messages.append({'role': 'tool', 'content': result_text, 'tool_name': tool_name})
+
+
+if __name__ == '__main__':
+  main()
--- a/examples/web-search-mcp.py
+++ b/examples/web-search-mcp.py
@ -0,0 +1,116 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#   "mcp",
+#   "rich",
+#   "ollama",
+# ]
+# ///
+"""
+MCP stdio server exposing Ollama web_search and web_fetch as tools.
+
+Environment:
+- OLLAMA_API_KEY (required): if set, will be used as Authorization header.
+"""
+
+from __future__ import annotations
+
+import asyncio
+from typing import Any, Dict
+
+from ollama import Client
+
+try:
+  # Preferred high-level API (if available)
+  from mcp.server.fastmcp import FastMCP  # type: ignore
+
+  _FASTMCP_AVAILABLE = True
+except Exception:
+  _FASTMCP_AVAILABLE = False
+
+if not _FASTMCP_AVAILABLE:
+  # Fallback to the low-level stdio server API
+  from mcp.server import Server  # type: ignore
+  from mcp.server.stdio import stdio_server  # type: ignore
+
+
+client = Client()
+
+
+def _web_search_impl(query: str, max_results: int = 3) -> Dict[str, Any]:
+  res = client.web_search(query=query, max_results=max_results)
+  return res.model_dump()
+
+
+def _web_fetch_impl(url: str) -> Dict[str, Any]:
+  res = client.web_fetch(url=url)
+  return res.model_dump()
+
+
+if _FASTMCP_AVAILABLE:
+  app = FastMCP('ollama-search-fetch')
+
+  @app.tool()
+  def web_search(query: str, max_results: int = 3) -> Dict[str, Any]:
+    """
+    Perform a web search using Ollama's hosted search API.
+
+    Args:
+      query: The search query to run.
+      max_results: Maximum results to return (default: 3).
+
+    Returns:
+      JSON-serializable dict matching ollama.WebSearchResponse.model_dump()
+    """
+
+    return _web_search_impl(query=query, max_results=max_results)
+
+  @app.tool()
+  def web_fetch(url: str) -> Dict[str, Any]:
+    """
+    Fetch the content of a web page for the provided URL.
+
+    Args:
+      url: The absolute URL to fetch.
+
+    Returns:
+      JSON-serializable dict matching ollama.WebFetchResponse.model_dump()
+    """
+
+    return _web_fetch_impl(url=url)
+
+  if __name__ == '__main__':
+    app.run()
+
+else:
+  server = Server('ollama-search-fetch')  # type: ignore[name-defined]
+
+  @server.tool()  # type: ignore[attr-defined]
+  async def web_search(query: str, max_results: int = 3) -> Dict[str, Any]:
+    """
+    Perform a web search using Ollama's hosted search API.
+
+    Args:
+      query: The search query to run.
+      max_results: Maximum results to return (default: 3).
+    """
+
+    return await asyncio.to_thread(_web_search_impl, query, max_results)
+
+  @server.tool()  # type: ignore[attr-defined]
+  async def web_fetch(url: str) -> Dict[str, Any]:
+    """
+    Fetch the content of a web page for the provided URL.
+
+    Args:
+      url: The absolute URL to fetch.
+    """
+
+    return await asyncio.to_thread(_web_fetch_impl, url)
+
+  async def _main() -> None:
+    async with stdio_server() as (read, write):  # type: ignore[name-defined]
+      await server.run(read, write)  # type: ignore[attr-defined]
+
+  if __name__ == '__main__':
+    asyncio.run(_main())
--- a/examples/web-search.py
+++ b/examples/web-search.py
@ -0,0 +1,85 @@
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "rich",
+#     "ollama",
+# ]
+# ///
+from typing import Union
+
+from rich import print
+
+from ollama import WebFetchResponse, WebSearchResponse, chat, web_fetch, web_search
+
+
+def format_tool_results(
+  results: Union[WebSearchResponse, WebFetchResponse],
+  user_search: str,
+):
+  output = []
+  if isinstance(results, WebSearchResponse):
+    output.append(f'Search results for "{user_search}":')
+    for result in results.results:
+      output.append(f'{result.title}' if result.title else f'{result.content}')
+      output.append(f'   URL: {result.url}')
+      output.append(f'   Content: {result.content}')
+      output.append('')
+    return '\n'.join(output).rstrip()
+
+  elif isinstance(results, WebFetchResponse):
+    output.append(f'Fetch results for "{user_search}":')
+    output.extend(
+      [
+        f'Title: {results.title}',
+        f'URL: {user_search}' if user_search else '',
+        f'Content: {results.content}',
+      ]
+    )
+    if results.links:
+      output.append(f'Links: {", ".join(results.links)}')
+    output.append('')
+    return '\n'.join(output).rstrip()
+
+
+# client = Client(headers={'Authorization': f"Bearer {os.getenv('OLLAMA_API_KEY')}"} if api_key else None)
+available_tools = {'web_search': web_search, 'web_fetch': web_fetch}
+
+query = "what is ollama's new engine"
+print('Query: ', query)
+
+messages = [{'role': 'user', 'content': query}]
+while True:
+  response = chat(model='qwen3', messages=messages, tools=[web_search, web_fetch], think=True)
+  if response.message.thinking:
+    print('Thinking: ')
+    print(response.message.thinking + '\n\n')
+  if response.message.content:
+    print('Content: ')
+    print(response.message.content + '\n')
+
+  messages.append(response.message)
+
+  if response.message.tool_calls:
+    for tool_call in response.message.tool_calls:
+      function_to_call = available_tools.get(tool_call.function.name)
+      if function_to_call:
+        args = tool_call.function.arguments
+        result: Union[WebSearchResponse, WebFetchResponse] = function_to_call(**args)
+        print('Result from tool call name:', tool_call.function.name, 'with arguments:')
+        print(args)
+        print()
+
+        user_search = args.get('query', '') or args.get('url', '')
+        formatted_tool_results = format_tool_results(result, user_search=user_search)
+
+        print(formatted_tool_results[:300])
+        print()
+
+        # caps the result at ~2000 tokens
+        messages.append({'role': 'tool', 'content': formatted_tool_results[: 2000 * 4], 'tool_name': tool_call.function.name})
+      else:
+        print(f'Tool {tool_call.function.name} not found')
+        messages.append({'role': 'tool', 'content': f'Tool {tool_call.function.name} not found', 'tool_name': tool_call.function.name})
+  else:
+    # no more tool calls, we can stop the loop
+    break
--- a/examples/web_search_gpt_oss_helper.py
+++ b/examples/web_search_gpt_oss_helper.py
@ -0,0 +1,514 @@
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Any, Dict, List, Optional, Protocol, Tuple
+from urllib.parse import urlparse
+
+from ollama import Client
+
+
+@dataclass
+class Page:
+  url: str
+  title: str
+  text: str
+  lines: List[str]
+  links: Dict[int, str]
+  fetched_at: datetime
+
+
+@dataclass
+class BrowserStateData:
+  page_stack: List[str] = field(default_factory=list)
+  view_tokens: int = 1024
+  url_to_page: Dict[str, Page] = field(default_factory=dict)
+
+
+@dataclass
+class WebSearchResult:
+  title: str
+  url: str
+  content: Dict[str, str]
+
+
+class SearchClient(Protocol):
+  def search(self, queries: List[str], max_results: Optional[int] = None): ...
+
+
+class CrawlClient(Protocol):
+  def crawl(self, urls: List[str]): ...
+
+
+# ---- Constants ---------------------------------------------------------------
+
+DEFAULT_VIEW_TOKENS = 1024
+CAPPED_TOOL_CONTENT_LEN = 8000
+
+# ---- Helpers ----------------------------------------------------------------
+
+
+def cap_tool_content(text: str) -> str:
+  if not text:
+    return text
+  if len(text) <= CAPPED_TOOL_CONTENT_LEN:
+    return text
+  if CAPPED_TOOL_CONTENT_LEN <= 1:
+    return text[:CAPPED_TOOL_CONTENT_LEN]
+  return text[: CAPPED_TOOL_CONTENT_LEN - 1] + '…'
+
+
+def _safe_domain(u: str) -> str:
+  try:
+    parsed = urlparse(u)
+    host = parsed.netloc or u
+    return host.replace('www.', '') if host else u
+  except Exception:
+    return u
+
+
+# ---- BrowserState ------------------------------------------------------------
+
+
+class BrowserState:
+  def __init__(self, initial_state: Optional[BrowserStateData] = None):
+    self._data = initial_state or BrowserStateData(view_tokens=DEFAULT_VIEW_TOKENS)
+
+  def get_data(self) -> BrowserStateData:
+    return self._data
+
+  def set_data(self, data: BrowserStateData) -> None:
+    self._data = data
+
+
+# ---- Browser ----------------------------------------------------------------
+
+
+class Browser:
+  def __init__(
+    self,
+    initial_state: Optional[BrowserStateData] = None,
+    client: Optional[Client] = None,
+  ):
+    self.state = BrowserState(initial_state)
+    self._client: Optional[Client] = client
+
+  def set_client(self, client: Client) -> None:
+    self._client = client
+
+  def get_state(self) -> BrowserStateData:
+    return self.state.get_data()
+
+  # ---- internal utils ----
+
+  def _save_page(self, page: Page) -> None:
+    data = self.state.get_data()
+    data.url_to_page[page.url] = page
+    data.page_stack.append(page.url)
+    self.state.set_data(data)
+
+  def _page_from_stack(self, url: str) -> Page:
+    data = self.state.get_data()
+    page = data.url_to_page.get(url)
+    if not page:
+      raise ValueError(f'Page not found for url {url}')
+    return page
+
+  def _join_lines_with_numbers(self, lines: List[str]) -> str:
+    result = []
+    for i, line in enumerate(lines):
+      result.append(f'L{i}: {line}')
+    return '\n'.join(result)
+
+  def _wrap_lines(self, text: str, width: int = 80) -> List[str]:
+    if width <= 0:
+      width = 80
+    src_lines = text.split('\n')
+    wrapped: List[str] = []
+    for line in src_lines:
+      if line == '':
+        wrapped.append('')
+      elif len(line) <= width:
+        wrapped.append(line)
+      else:
+        words = re.split(r'\s+', line)
+        if not words:
+          wrapped.append(line)
+          continue
+        curr = ''
+        for w in words:
+          test = (curr + ' ' + w) if curr else w
+          if len(test) > width and curr:
+            wrapped.append(curr)
+            curr = w
+          else:
+            curr = test
+        if curr:
+          wrapped.append(curr)
+    return wrapped
+
+  def _process_markdown_links(self, text: str) -> Tuple[str, Dict[int, str]]:
+    links: Dict[int, str] = {}
+    link_id = 0
+
+    multiline_pattern = re.compile(r'\[([^\]]+)\]\s*\n\s*\(([^)]+)\)')
+    text = multiline_pattern.sub(lambda m: f'[{m.group(1)}]({m.group(2)})', text)
+    text = re.sub(r'\s+', ' ', text)
+
+    link_pattern = re.compile(r'\[([^\]]+)\]\(([^)]+)\)')
+
+    def _repl(m: re.Match) -> str:
+      nonlocal link_id
+      link_text = m.group(1).strip()
+      link_url = m.group(2).strip()
+      domain = _safe_domain(link_url)
+      formatted = f'【{link_id}†{link_text}†{domain}】'
+      links[link_id] = link_url
+      link_id += 1
+      return formatted
+
+    processed = link_pattern.sub(_repl, text)
+    return processed, links
+
+  def _get_end_loc(self, loc: int, num_lines: int, total_lines: int, lines: List[str]) -> int:
+    if num_lines <= 0:
+      txt = self._join_lines_with_numbers(lines[loc:])
+      data = self.state.get_data()
+      chars_per_token = 4
+      max_chars = min(data.view_tokens * chars_per_token, len(txt))
+      num_lines = txt[:max_chars].count('\n') + 1
+    return min(loc + num_lines, total_lines)
+
+  def _display_page(self, page: Page, cursor: int, loc: int, num_lines: int) -> str:
+    total_lines = len(page.lines) or 0
+    if total_lines == 0:
+      page.lines = ['']
+      total_lines = 1
+
+    if loc != loc or loc < 0:
+      loc = 0
+    elif loc >= total_lines:
+      loc = max(0, total_lines - 1)
+
+    end_loc = self._get_end_loc(loc, num_lines, total_lines, page.lines)
+
+    header = f'[{cursor}] {page.title}'
+    header += f'({page.url})\n' if page.url else '\n'
+    header += f'**viewing lines [{loc} - {end_loc - 1}] of {total_lines - 1}**\n\n'
+
+    body_lines = []
+    for i in range(loc, end_loc):
+      body_lines.append(f'L{i}: {page.lines[i]}')
+
+    return header + '\n'.join(body_lines)
+
+  # ---- page builders ----
+
+  def _build_search_results_page_collection(self, query: str, results: Dict[str, Any]) -> Page:
+    page = Page(
+      url=f'search_results_{query}',
+      title=query,
+      text='',
+      lines=[],
+      links={},
+      fetched_at=datetime.utcnow(),
+    )
+
+    tb = []
+    tb.append('')
+    tb.append('# Search Results')
+    tb.append('')
+
+    link_idx = 0
+    for query_results in results.get('results', {}).values():
+      for result in query_results:
+        domain = _safe_domain(result.get('url', ''))
+        link_fmt = f'* 【{link_idx}†{result.get("title", "")}†{domain}】'
+        tb.append(link_fmt)
+
+        raw_snip = result.get('content') or ''
+        capped = (raw_snip[:400] + '…') if len(raw_snip) > 400 else raw_snip
+        cleaned = re.sub(r'\d{40,}', lambda m: m.group(0)[:40] + '…', capped)
+        cleaned = re.sub(r'\s{3,}', ' ', cleaned)
+        tb.append(cleaned)
+        page.links[link_idx] = result.get('url', '')
+        link_idx += 1
+
+    page.text = '\n'.join(tb)
+    page.lines = self._wrap_lines(page.text, 80)
+    return page
+
+  def _build_search_result_page(self, result: WebSearchResult, link_idx: int) -> Page:
+    page = Page(
+      url=result.url,
+      title=result.title,
+      text='',
+      lines=[],
+      links={},
+      fetched_at=datetime.utcnow(),
+    )
+
+    link_fmt = f'【{link_idx}†{result.title}】\n'
+    preview = link_fmt + f'URL: {result.url}\n'
+    full_text = result.content.get('fullText', '') if result.content else ''
+    preview += full_text[:300] + '\n\n'
+
+    if not full_text:
+      page.links[link_idx] = result.url
+
+    if full_text:
+      raw = f'URL: {result.url}\n{full_text}'
+      processed, links = self._process_markdown_links(raw)
+      page.text = processed
+      page.links = links
+    else:
+      page.text = preview
+
+    page.lines = self._wrap_lines(page.text, 80)
+    return page
+
+  def _build_page_from_fetch(self, requested_url: str, fetch_response: Dict[str, Any]) -> Page:
+    page = Page(
+      url=requested_url,
+      title=requested_url,
+      text='',
+      lines=[],
+      links={},
+      fetched_at=datetime.utcnow(),
+    )
+
+    for url, url_results in fetch_response.get('results', {}).items():
+      if url_results:
+        r0 = url_results[0]
+        if r0.get('content'):
+          page.text = r0['content']
+        if r0.get('title'):
+          page.title = r0['title']
+        page.url = url
+        break
+
+    if not page.text:
+      page.text = 'No content could be extracted from this page.'
+    else:
+      page.text = f'URL: {page.url}\n{page.text}'
+
+    processed, links = self._process_markdown_links(page.text)
+    page.text = processed
+    page.links = links
+    page.lines = self._wrap_lines(page.text, 80)
+    return page
+
+  def _build_find_results_page(self, pattern: str, page: Page) -> Page:
+    find_page = Page(
+      url=f'find_results_{pattern}',
+      title=f'Find results for text: `{pattern}` in `{page.title}`',
+      text='',
+      lines=[],
+      links={},
+      fetched_at=datetime.utcnow(),
+    )
+
+    max_results = 50
+    num_show_lines = 4
+    pattern_lower = pattern.lower()
+
+    result_chunks: List[str] = []
+    line_idx = 0
+    while line_idx < len(page.lines):
+      line = page.lines[line_idx]
+      if pattern_lower not in line.lower():
+        line_idx += 1
+        continue
+
+      end_line = min(line_idx + num_show_lines, len(page.lines))
+      snippet = '\n'.join(page.lines[line_idx:end_line])
+      link_fmt = f'【{len(result_chunks)}†match at L{line_idx}】'
+      result_chunks.append(f'{link_fmt}\n{snippet}')
+
+      if len(result_chunks) >= max_results:
+        break
+      line_idx += num_show_lines
+
+    if not result_chunks:
+      find_page.text = f'No `find` results for pattern: `{pattern}`'
+    else:
+      find_page.text = '\n\n'.join(result_chunks)
+
+    find_page.lines = self._wrap_lines(find_page.text, 80)
+    return find_page
+
+  # ---- public API: search / open / find ------------------------------------
+
+  def search(self, *, query: str, topn: int = 5) -> Dict[str, Any]:
+    if not self._client:
+      raise RuntimeError('Client not provided')
+
+    resp = self._client.web_search(query, max_results=topn)
+
+    normalized: Dict[str, Any] = {'results': {}}
+    rows: List[Dict[str, str]] = []
+    for item in resp.results:
+      content = item.content or ''
+      rows.append(
+        {
+          'title': item.title,
+          'url': item.url,
+          'content': content,
+        }
+      )
+    normalized['results'][query] = rows
+
+    search_page = self._build_search_results_page_collection(query, normalized)
+    self._save_page(search_page)
+    cursor = len(self.get_state().page_stack) - 1
+
+    for query_results in normalized.get('results', {}).values():
+      for i, r in enumerate(query_results):
+        ws = WebSearchResult(
+          title=r.get('title', ''),
+          url=r.get('url', ''),
+          content={'fullText': r.get('content', '') or ''},
+        )
+        result_page = self._build_search_result_page(ws, i + 1)
+        data = self.get_state()
+        data.url_to_page[result_page.url] = result_page
+        self.state.set_data(data)
+
+    page_text = self._display_page(search_page, cursor, loc=0, num_lines=-1)
+    return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+  def open(
+    self,
+    *,
+    id: Optional[str | int] = None,
+    cursor: int = -1,
+    loc: int = 0,
+    num_lines: int = -1,
+  ) -> Dict[str, Any]:
+    if not self._client:
+      raise RuntimeError('Client not provided')
+
+    state = self.get_state()
+
+    if isinstance(id, str):
+      url = id
+      if url in state.url_to_page:
+        self._save_page(state.url_to_page[url])
+        cursor = len(self.get_state().page_stack) - 1
+        page_text = self._display_page(state.url_to_page[url], cursor, loc, num_lines)
+        return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+      fetch_response = self._client.web_fetch(url)
+      normalized: Dict[str, Any] = {
+        'results': {
+          url: [
+            {
+              'title': fetch_response.title or url,
+              'url': url,
+              'content': fetch_response.content or '',
+            }
+          ]
+        }
+      }
+      new_page = self._build_page_from_fetch(url, normalized)
+      self._save_page(new_page)
+      cursor = len(self.get_state().page_stack) - 1
+      page_text = self._display_page(new_page, cursor, loc, num_lines)
+      return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+    # Resolve current page from stack only if needed (int id or no id)
+    page: Optional[Page] = None
+    if cursor >= 0:
+      if state.page_stack:
+        if cursor >= len(state.page_stack):
+          cursor = max(0, len(state.page_stack) - 1)
+        page = self._page_from_stack(state.page_stack[cursor])
+      else:
+        page = None
+    else:
+      if state.page_stack:
+        page = self._page_from_stack(state.page_stack[-1])
+
+    if isinstance(id, int):
+      if not page:
+        raise RuntimeError('No current page to resolve link from')
+
+      link_url = page.links.get(id)
+      if not link_url:
+        err = Page(
+          url=f'invalid_link_{id}',
+          title=f'No link with id {id} on `{page.title}`',
+          text='',
+          lines=[],
+          links={},
+          fetched_at=datetime.utcnow(),
+        )
+        available = sorted(page.links.keys())
+        available_list = ', '.join(map(str, available)) if available else '(none)'
+        err.text = '\n'.join(
+          [
+            f'Requested link id: {id}',
+            f'Current page: {page.title}',
+            f'Available link ids on this page: {available_list}',
+            '',
+            'Tips:',
+            '- To scroll this page, call browser_open with { loc, num_lines } (no id).',
+            '- To open a result from a search results page, pass the correct { cursor, id }.',
+          ]
+        )
+        err.lines = self._wrap_lines(err.text, 80)
+        self._save_page(err)
+        cursor = len(self.get_state().page_stack) - 1
+        page_text = self._display_page(err, cursor, 0, -1)
+        return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+      new_page = state.url_to_page.get(link_url)
+      if not new_page:
+        fetch_response = self._client.web_fetch(link_url)
+        normalized: Dict[str, Any] = {
+          'results': {
+            link_url: [
+              {
+                'title': fetch_response.title or link_url,
+                'url': link_url,
+                'content': fetch_response.content or '',
+              }
+            ]
+          }
+        }
+        new_page = self._build_page_from_fetch(link_url, normalized)
+
+      self._save_page(new_page)
+      cursor = len(self.get_state().page_stack) - 1
+      page_text = self._display_page(new_page, cursor, loc, num_lines)
+      return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+    if not page:
+      raise RuntimeError('No current page to display')
+
+    cur = self.get_state()
+    cur.page_stack.append(page.url)
+    self.state.set_data(cur)
+    cursor = len(cur.page_stack) - 1
+    page_text = self._display_page(page, cursor, loc, num_lines)
+    return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
+
+  def find(self, *, pattern: str, cursor: int = -1) -> Dict[str, Any]:
+    state = self.get_state()
+    if cursor == -1:
+      if not state.page_stack:
+        raise RuntimeError('No pages to search in')
+      page = self._page_from_stack(state.page_stack[-1])
+      cursor = len(state.page_stack) - 1
+    else:
+      if cursor < 0 or cursor >= len(state.page_stack):
+        cursor = max(0, min(cursor, len(state.page_stack) - 1))
+      page = self._page_from_stack(state.page_stack[cursor])
+
+    find_page = self._build_find_results_page(pattern, page)
+    self._save_page(find_page)
+    new_cursor = len(self.get_state().page_stack) - 1
+
+    page_text = self._display_page(find_page, new_cursor, 0, -1)
+    return {'state': self.get_state(), 'pageText': cap_tool_content(page_text)}
--- a/ollama/init.py
+++ b/ollama/init.py
@ -15,6 +15,8 @@ from ollama._types import (
  ShowResponse,
  StatusResponse,
  Tool,
+  WebFetchResponse,
+  WebSearchResponse,
 )

 __all__ = [
@ -35,6 +37,8 @@ __all__ = [
  'ShowResponse',
  'StatusResponse',
  'Tool',
+  'WebFetchResponse',
+  'WebSearchResponse',
 ]

 _client = Client()
@ -51,3 +55,5 @@ list = _client.list
 copy = _client.copy
 show = _client.show
 ps = _client.ps
+web_search = _client.web_search
+web_fetch = _client.web_fetch
--- a/ollama/_client.py
+++ b/ollama/_client.py
@ -1,3 +1,4 @@
+import contextlib
 import ipaddress
 import json
 import os
@ -22,6 +23,7 @@ from typing import (
  overload,
 )

+import anyio
 from pydantic.json_schema import JsonSchemaValue

 from ollama._utils import convert_function_to_tool
@ -65,16 +67,21 @@ from ollama._types import (
  ShowResponse,
  StatusResponse,
  Tool,
+  WebFetchRequest,
+  WebFetchResponse,
+  WebSearchRequest,
+  WebSearchResponse,
 )

 T = TypeVar('T')


-class BaseClient:
+class BaseClient(contextlib.AbstractContextManager, contextlib.AbstractAsyncContextManager):
  def __init__(
    self,
    client,
    host: Optional[str] = None,
+    *,
    follow_redirects: bool = True,
    timeout: Any = None,
    headers: Optional[Mapping[str, str]] = None,
@ -88,23 +95,34 @@ class BaseClient:
    `kwargs` are passed to the httpx client.
    """

+    headers = {
+      k.lower(): v
+      for k, v in {
+        **(headers or {}),
+        'Content-Type': 'application/json',
+        'Accept': 'application/json',
+        'User-Agent': f'ollama-python/{__version__} ({platform.machine()} {platform.system().lower()}) Python/{platform.python_version()}',
+      }.items()
+      if v is not None
+    }
+    api_key = os.getenv('OLLAMA_API_KEY', None)
+    if not headers.get('authorization') and api_key:
+      headers['authorization'] = f'Bearer {api_key}'
+
    self._client = client(
      base_url=_parse_host(host or os.getenv('OLLAMA_HOST')),
      follow_redirects=follow_redirects,
      timeout=timeout,
-      # Lowercase all headers to ensure override
-      headers={
-        k.lower(): v
-        for k, v in {
-          **(headers or {}),
-          'Content-Type': 'application/json',
-          'Accept': 'application/json',
-          'User-Agent': f'ollama-python/{__version__} ({platform.machine()} {platform.system().lower()}) Python/{platform.python_version()}',
-        }.items()
-      },
+      headers=headers,
      **kwargs,
    )

+  def __exit__(self, exc_type, exc_val, exc_tb):
+    self.close()
+
+  async def __aexit__(self, exc_type, exc_val, exc_tb):
+    await self.close()
+

 CONNECTION_ERROR_MESSAGE = 'Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible. https://ollama.com/download'

@ -113,6 +131,9 @@ class Client(BaseClient):
  def __init__(self, host: Optional[str] = None, **kwargs) -> None:
    super().__init__(httpx.Client, host, **kwargs)

+  def close(self):
+    self._client.close()
+
  def _request_raw(self, *args, **kwargs):
    try:
      r = self._client.request(*args, **kwargs)
@ -188,11 +209,17 @@ class Client(BaseClient):
    template: str = '',
    context: Optional[Sequence[int]] = None,
    stream: Literal[False] = False,
+    think: Optional[bool] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: bool = False,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> GenerateResponse: ...

  @overload
@ -206,11 +233,17 @@ class Client(BaseClient):
    template: str = '',
    context: Optional[Sequence[int]] = None,
    stream: Literal[True] = True,
+    think: Optional[bool] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: bool = False,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> Iterator[GenerateResponse]: ...

  def generate(
@ -223,11 +256,17 @@ class Client(BaseClient):
    template: Optional[str] = None,
    context: Optional[Sequence[int]] = None,
    stream: bool = False,
+    think: Optional[bool] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: Optional[bool] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> Union[GenerateResponse, Iterator[GenerateResponse]]:
    """
    Create a response using the requested model.
@ -251,11 +290,17 @@ class Client(BaseClient):
        template=template,
        context=context,
        stream=stream,
+        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        raw=raw,
        format=format,
-        images=[image for image in _copy_images(images)] if images else None,
+        images=list(_copy_images(images)) if images else None,
        options=options,
        keep_alive=keep_alive,
+        width=width,
+        height=height,
+        steps=steps,
      ).model_dump(exclude_none=True),
      stream=stream,
    )
@ -268,6 +313,9 @@ class Client(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: Literal[False] = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -281,6 +329,9 @@ class Client(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: Literal[True] = True,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -293,6 +344,9 @@ class Client(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: bool = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -336,9 +390,12 @@ class Client(BaseClient):
      '/api/chat',
      json=ChatRequest(
        model=model,
-        messages=[message for message in _copy_messages(messages)],
-        tools=[tool for tool in _copy_tools(tools)],
+        messages=list(_copy_messages(messages)),
+        tools=list(_copy_tools(tools)),
        stream=stream,
+        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        format=format,
        options=options,
        keep_alive=keep_alive,
@ -353,6 +410,7 @@ class Client(BaseClient):
    truncate: Optional[bool] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    dimensions: Optional[int] = None,
  ) -> EmbedResponse:
    return self._request(
      EmbedResponse,
@ -364,6 +422,7 @@ class Client(BaseClient):
        truncate=truncate,
        options=options,
        keep_alive=keep_alive,
+        dimensions=dimensions,
      ).model_dump(exclude_none=True),
    )

@ -612,11 +671,62 @@ class Client(BaseClient):
      '/api/ps',
    )

+  def web_search(self, query: str, max_results: int = 3) -> WebSearchResponse:
+    """
+    Performs a web search
+
+    Args:
+      query: The query to search for
+      max_results: The maximum number of results to return (default: 3)
+
+    Returns:
+      WebSearchResponse with the search results
+    Raises:
+      ValueError: If OLLAMA_API_KEY environment variable is not set
+    """
+    if not self._client.headers.get('authorization', '').startswith('Bearer '):
+      raise ValueError('Authorization header with Bearer token is required for web search')
+
+    return self._request(
+      WebSearchResponse,
+      'POST',
+      'https://ollama.com/api/web_search',
+      json=WebSearchRequest(
+        query=query,
+        max_results=max_results,
+      ).model_dump(exclude_none=True),
+    )
+
+  def web_fetch(self, url: str) -> WebFetchResponse:
+    """
+    Fetches the content of a web page for the provided URL.
+
+    Args:
+      url: The URL to fetch
+
+    Returns:
+      WebFetchResponse with the fetched result
+    """
+    if not self._client.headers.get('authorization', '').startswith('Bearer '):
+      raise ValueError('Authorization header with Bearer token is required for web fetch')
+
+    return self._request(
+      WebFetchResponse,
+      'POST',
+      'https://ollama.com/api/web_fetch',
+      json=WebFetchRequest(
+        url=url,
+      ).model_dump(exclude_none=True),
+    )
+

 class AsyncClient(BaseClient):
  def __init__(self, host: Optional[str] = None, **kwargs) -> None:
    super().__init__(httpx.AsyncClient, host, **kwargs)

+  async def close(self):
+    await self._client.aclose()
+
  async def _request_raw(self, *args, **kwargs):
    try:
      r = await self._client.request(*args, **kwargs)
@ -681,6 +791,46 @@ class AsyncClient(BaseClient):

    return cls(**(await self._request_raw(*args, **kwargs)).json())

+  async def web_search(self, query: str, max_results: int = 3) -> WebSearchResponse:
+    """
+    Performs a web search
+
+    Args:
+      query: The query to search for
+      max_results: The maximum number of results to return (default: 3)
+
+    Returns:
+      WebSearchResponse with the search results
+    """
+    return await self._request(
+      WebSearchResponse,
+      'POST',
+      'https://ollama.com/api/web_search',
+      json=WebSearchRequest(
+        query=query,
+        max_results=max_results,
+      ).model_dump(exclude_none=True),
+    )
+
+  async def web_fetch(self, url: str) -> WebFetchResponse:
+    """
+    Fetches the content of a web page for the provided URL.
+
+    Args:
+      url: The URL to fetch
+
+    Returns:
+      WebFetchResponse with the fetched result
+    """
+    return await self._request(
+      WebFetchResponse,
+      'POST',
+      'https://ollama.com/api/web_fetch',
+      json=WebFetchRequest(
+        url=url,
+      ).model_dump(exclude_none=True),
+    )
+
  @overload
  async def generate(
    self,
@ -692,11 +842,17 @@ class AsyncClient(BaseClient):
    template: str = '',
    context: Optional[Sequence[int]] = None,
    stream: Literal[False] = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: bool = False,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> GenerateResponse: ...

  @overload
@ -710,11 +866,17 @@ class AsyncClient(BaseClient):
    template: str = '',
    context: Optional[Sequence[int]] = None,
    stream: Literal[True] = True,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: bool = False,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> AsyncIterator[GenerateResponse]: ...

  async def generate(
@ -727,11 +889,17 @@ class AsyncClient(BaseClient):
    template: Optional[str] = None,
    context: Optional[Sequence[int]] = None,
    stream: bool = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    raw: Optional[bool] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
-    images: Optional[Sequence[Union[str, bytes]]] = None,
+    images: Optional[Sequence[Union[str, bytes, Image]]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+    steps: Optional[int] = None,
  ) -> Union[GenerateResponse, AsyncIterator[GenerateResponse]]:
    """
    Create a response using the requested model.
@ -754,11 +922,17 @@ class AsyncClient(BaseClient):
        template=template,
        context=context,
        stream=stream,
+        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        raw=raw,
        format=format,
-        images=[image for image in _copy_images(images)] if images else None,
+        images=list(_copy_images(images)) if images else None,
        options=options,
        keep_alive=keep_alive,
+        width=width,
+        height=height,
+        steps=steps,
      ).model_dump(exclude_none=True),
      stream=stream,
    )
@ -771,6 +945,9 @@ class AsyncClient(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: Literal[False] = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -784,6 +961,9 @@ class AsyncClient(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: Literal[True] = True,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -796,6 +976,9 @@ class AsyncClient(BaseClient):
    *,
    tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable]]] = None,
    stream: bool = False,
+    think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None,
+    logprobs: Optional[bool] = None,
+    top_logprobs: Optional[int] = None,
    format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
@ -840,9 +1023,12 @@ class AsyncClient(BaseClient):
      '/api/chat',
      json=ChatRequest(
        model=model,
-        messages=[message for message in _copy_messages(messages)],
-        tools=[tool for tool in _copy_tools(tools)],
+        messages=list(_copy_messages(messages)),
+        tools=list(_copy_tools(tools)),
        stream=stream,
+        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        format=format,
        options=options,
        keep_alive=keep_alive,
@ -857,6 +1043,7 @@ class AsyncClient(BaseClient):
    truncate: Optional[bool] = None,
    options: Optional[Union[Mapping[str, Any], Options]] = None,
    keep_alive: Optional[Union[float, str]] = None,
+    dimensions: Optional[int] = None,
  ) -> EmbedResponse:
    return await self._request(
      EmbedResponse,
@ -868,6 +1055,7 @@ class AsyncClient(BaseClient):
        truncate=truncate,
        options=options,
        keep_alive=keep_alive,
+        dimensions=dimensions,
      ).model_dump(exclude_none=True),
    )

@ -991,7 +1179,7 @@ class AsyncClient(BaseClient):
    parameters: Optional[Union[Mapping[str, Any], Options]] = None,
    messages: Optional[Sequence[Union[Mapping[str, Any], Message]]] = None,
    *,
-    stream: Literal[True] = True,
+    stream: Literal[False] = False,
  ) -> ProgressResponse: ...

  @overload
@ -1054,9 +1242,9 @@ class AsyncClient(BaseClient):

  async def create_blob(self, path: Union[str, Path]) -> str:
    sha256sum = sha256()
-    with open(path, 'rb') as r:
+    async with await anyio.open_file(path, 'rb') as r:
      while True:
-        chunk = r.read(32 * 1024)
+        chunk = await r.read(32 * 1024)
        if not chunk:
          break
        sha256sum.update(chunk)
@ -1064,9 +1252,9 @@ class AsyncClient(BaseClient):
    digest = f'sha256:{sha256sum.hexdigest()}'

    async def upload_bytes():
-      with open(path, 'rb') as r:
+      async with await anyio.open_file(path, 'rb') as r:
        while True:
-          chunk = r.read(32 * 1024)
+          chunk = await r.read(32 * 1024)
          if not chunk:
            break
          yield chunk
@ -1133,7 +1321,7 @@ def _copy_images(images: Optional[Sequence[Union[Image, Any]]]) -> Iterator[Imag
 def _copy_messages(messages: Optional[Sequence[Union[Mapping[str, Any], Message]]]) -> Iterator[Message]:
  for message in messages or []:
    yield Message.model_validate(
-      {k: [image for image in _copy_images(v)] if k == 'images' else v for k, v in dict(message).items() if v},
+      {k: list(_copy_images(v)) if k == 'images' else v for k, v in dict(message).items() if v},
    )


@ -1143,7 +1331,7 @@ def _copy_tools(tools: Optional[Sequence[Union[Mapping[str, Any], Tool, Callable


 def _as_path(s: Optional[Union[str, PathLike]]) -> Union[Path, None]:
-  if isinstance(s, str) or isinstance(s, Path):
+  if isinstance(s, (str, Path)):
    try:
      if (p := Path(s)).exists():
        return p
@ -1225,7 +1413,7 @@ def _parse_host(host: Optional[str]) -> str:
  elif scheme == 'https':
    port = 443

-  split = urllib.parse.urlsplit('://'.join([scheme, hostport]))
+  split = urllib.parse.urlsplit(f'{scheme}://{hostport}')
  host = split.hostname or '127.0.0.1'
  port = split.port or port

--- a/ollama/_types.py
+++ b/ollama/_types.py
@ -1,3 +1,4 @@
+import contextlib
 import json
 from base64 import b64decode, b64encode
 from datetime import datetime
@ -78,8 +79,8 @@ class SubscriptableBaseModel(BaseModel):
    if key in self.model_fields_set:
      return True

-    if key in self.model_fields:
-      return self.model_fields[key].default is not None
+    if value := self.__class__.model_fields.get(key):
+      return value.default is not None

    return False

@ -97,7 +98,7 @@ class SubscriptableBaseModel(BaseModel):
    >>> msg.get('tool_calls')[0]['function']['name']
    'foo'
    """
-    return self[key] if key in self else default
+    return getattr(self, key) if hasattr(self, key) else default


 class Options(SubscriptableBaseModel):
@ -206,6 +207,25 @@ class GenerateRequest(BaseGenerateRequest):
  images: Optional[Sequence[Image]] = None
  'Image data for multimodal models.'

+  think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None
+  'Enable thinking mode (for thinking models).'
+
+  logprobs: Optional[bool] = None
+  'Return log probabilities for generated tokens.'
+
+  top_logprobs: Optional[int] = None
+  'Number of alternative tokens and log probabilities to include per position (0-20).'
+
+  # Experimental image generation parameters
+  width: Optional[int] = None
+  'Width of the generated image in pixels (for image generation models).'
+
+  height: Optional[int] = None
+  'Height of the generated image in pixels (for image generation models).'
+
+  steps: Optional[int] = None
+  'Number of diffusion steps (for image generation models).'
+

 class BaseGenerateResponse(SubscriptableBaseModel):
  model: Optional[str] = None
@ -239,29 +259,62 @@ class BaseGenerateResponse(SubscriptableBaseModel):
  'Duration of evaluating inference in nanoseconds.'


+class TokenLogprob(SubscriptableBaseModel):
+  token: str
+  'Token text.'
+
+  logprob: float
+  'Log probability for the token.'
+
+
+class Logprob(TokenLogprob):
+  top_logprobs: Optional[Sequence[TokenLogprob]] = None
+  'Most likely tokens and their log probabilities.'
+
+
 class GenerateResponse(BaseGenerateResponse):
  """
  Response returned by generate requests.
  """

-  response: str
+  response: Optional[str] = None
  'Response content. When streaming, this contains a fragment of the response.'

+  thinking: Optional[str] = None
+  'Thinking content. Only present when thinking is enabled.'
+
  context: Optional[Sequence[int]] = None
  'Tokenized history up to the point of the response.'

+  logprobs: Optional[Sequence[Logprob]] = None
+  'Log probabilities for generated tokens.'
+
+  # Image generation response fields
+  image: Optional[str] = None
+  'Base64-encoded generated image data (for image generation models).'
+
+  # Streaming progress fields (for image generation)
+  completed: Optional[int] = None
+  'Number of completed steps (for image generation streaming).'
+
+  total: Optional[int] = None
+  'Total number of steps (for image generation streaming).'
+

 class Message(SubscriptableBaseModel):
  """
  Chat message.
  """

-  role: Literal['user', 'assistant', 'system', 'tool']
+  role: str
  "Assumed role of the message. Response messages has role 'assistant' or 'tool'."

  content: Optional[str] = None
  'Content of the message. Response messages contains message fragments when streaming.'

+  thinking: Optional[str] = None
+  'Thinking content. Only present when thinking is enabled.'
+
  images: Optional[Sequence[Image]] = None
  """
  Optional list of image data for multimodal models.
@ -274,6 +327,9 @@ class Message(SubscriptableBaseModel):
  Valid image formats depend on the model. See the model card for more information.
  """

+  tool_name: Optional[str] = None
+  'Name of the executed tool.'
+
  class ToolCall(SubscriptableBaseModel):
    """
    Model tool calls.
@ -300,21 +356,26 @@ class Message(SubscriptableBaseModel):


 class Tool(SubscriptableBaseModel):
-  type: Optional[Literal['function']] = 'function'
+  type: Optional[str] = 'function'

  class Function(SubscriptableBaseModel):
    name: Optional[str] = None
    description: Optional[str] = None

    class Parameters(SubscriptableBaseModel):
+      model_config = ConfigDict(populate_by_name=True)
      type: Optional[Literal['object']] = 'object'
+      defs: Optional[Any] = Field(None, alias='$defs')
+      items: Optional[Any] = None
      required: Optional[Sequence[str]] = None

      class Property(SubscriptableBaseModel):
        model_config = ConfigDict(arbitrary_types_allowed=True)

-        type: Optional[str] = None
+        type: Optional[Union[str, Sequence[str]]] = None
+        items: Optional[Any] = None
        description: Optional[str] = None
+        enum: Optional[Sequence[Any]] = None

      properties: Optional[Mapping[str, Property]] = None

@ -324,12 +385,30 @@ class Tool(SubscriptableBaseModel):


 class ChatRequest(BaseGenerateRequest):
+  @model_serializer(mode='wrap')
+  def serialize_model(self, nxt):
+    output = nxt(self)
+    if output.get('tools'):
+      for tool in output['tools']:
+        if 'function' in tool and 'parameters' in tool['function'] and 'defs' in tool['function']['parameters']:
+          tool['function']['parameters']['$defs'] = tool['function']['parameters'].pop('defs')
+    return output
+
  messages: Optional[Sequence[Union[Mapping[str, Any], Message]]] = None
  'Messages to chat with.'

  tools: Optional[Sequence[Tool]] = None
  'Tools to use for the chat.'

+  think: Optional[Union[bool, Literal['low', 'medium', 'high']]] = None
+  'Enable thinking mode (for thinking models).'
+
+  logprobs: Optional[bool] = None
+  'Return log probabilities for generated tokens.'
+
+  top_logprobs: Optional[int] = None
+  'Number of alternative tokens and log probabilities to include per position (0-20).'
+

 class ChatResponse(BaseGenerateResponse):
  """
@ -339,6 +418,9 @@ class ChatResponse(BaseGenerateResponse):
  message: Message
  'Response message.'

+  logprobs: Optional[Sequence[Logprob]] = None
+  'Log probabilities for generated tokens if requested.'
+

 class EmbedRequest(BaseRequest):
  input: Union[str, Sequence[str]]
@ -352,6 +434,9 @@ class EmbedRequest(BaseRequest):

  keep_alive: Optional[Union[float, str]] = None

+  dimensions: Optional[int] = None
+  'Dimensions truncates the output embedding to the specified dimension.'
+

 class EmbedResponse(BaseGenerateResponse):
  """
@ -491,6 +576,8 @@ class ShowResponse(SubscriptableBaseModel):

  parameters: Optional[str] = None

+  capabilities: Optional[List[str]] = None
+

 class ProcessResponse(SubscriptableBaseModel):
  class Model(SubscriptableBaseModel):
@ -501,10 +588,36 @@ class ProcessResponse(SubscriptableBaseModel):
    size: Optional[ByteSize] = None
    size_vram: Optional[ByteSize] = None
    details: Optional[ModelDetails] = None
+    context_length: Optional[int] = None

  models: Sequence[Model]


+class WebSearchRequest(SubscriptableBaseModel):
+  query: str
+  max_results: Optional[int] = None
+
+
+class WebSearchResult(SubscriptableBaseModel):
+  content: Optional[str] = None
+  title: Optional[str] = None
+  url: Optional[str] = None
+
+
+class WebFetchRequest(SubscriptableBaseModel):
+  url: str
+
+
+class WebSearchResponse(SubscriptableBaseModel):
+  results: Sequence[WebSearchResult]
+
+
+class WebFetchResponse(SubscriptableBaseModel):
+  title: Optional[str] = None
+  content: Optional[str] = None
+  links: Optional[Sequence[str]] = None
+
+
 class RequestError(Exception):
  """
  Common class for request errors.
@ -522,12 +635,10 @@ class ResponseError(Exception):
  """

  def __init__(self, error: str, status_code: int = -1):
-    try:
-      # try to parse content as JSON and extract 'error'
-      # fallback to raw content if JSON parsing fails
+    # try to parse content as JSON and extract 'error'
+    # fallback to raw content if JSON parsing fails
+    with contextlib.suppress(json.JSONDecodeError):
      error = json.loads(error).get('error', error)
-    except json.JSONDecodeError:
-      ...

    super().__init__(error)
    self.error = error
--- a/ollama/_utils.py
+++ b/ollama/_utils.py
@ -15,12 +15,12 @@ def _parse_docstring(doc_string: Union[str, None]) -> dict[str, str]:
  if not doc_string:
    return parsed_docstring

-  key = hash(doc_string)
+  key = str(hash(doc_string))
  for line in doc_string.splitlines():
    lowered_line = line.lower().strip()
    if lowered_line.startswith('args:'):
      key = 'args'
-    elif lowered_line.startswith('returns:') or lowered_line.startswith('yields:') or lowered_line.startswith('raises:'):
+    elif lowered_line.startswith(('returns:', 'yields:', 'raises:')):
      key = '_'

    else:
@ -54,7 +54,7 @@ def _parse_docstring(doc_string: Union[str, None]) -> dict[str, str]:


 def convert_function_to_tool(func: Callable) -> Tool:
-  doc_string_hash = hash(inspect.getdoc(func))
+  doc_string_hash = str(hash(inspect.getdoc(func)))
  parsed_docstring = _parse_docstring(inspect.getdoc(func))
  schema = type(
    func.__name__,
@ -79,11 +79,12 @@ def convert_function_to_tool(func: Callable) -> Tool:
    }

  tool = Tool(
+    type='function',
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      name=func.__name__,
      description=schema.get('description', ''),
      parameters=Tool.Function.Parameters(**schema),
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  )

  return Tool.model_validate(tool)
--- a/poetry.lock
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-    {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
-pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
-
-[[package]]
-name = "pytest-asyncio"
-version = "0.24.0"
-description = "Pytest support for asyncio"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"},
-    {file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"},
-]
-
-[package.dependencies]
-pytest = ">=8.2,<9"
-
-[package.extras]
-docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
-
-[[package]]
-name = "pytest-cov"
-version = "5.0.0"
-description = "Pytest plugin for measuring coverage."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
-    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
-]
-
-[package.dependencies]
-coverage = {version = ">=5.2.1", extras = ["toml"]}
-pytest = ">=4.6"
-
-[package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
-
-[[package]]
-name = "pytest-httpserver"
-version = "1.1.0"
-description = "pytest-httpserver is a httpserver for pytest"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "pytest_httpserver-1.1.0-py3-none-any.whl", hash = "sha256:7ef88be8ed3354b6784daa3daa75a422370327c634053cefb124903fa8d73a41"},
-    {file = "pytest_httpserver-1.1.0.tar.gz", hash = "sha256:6b1cb0199e2ed551b1b94d43f096863bbf6ae5bcd7c75c2c06845e5ce2dc8701"},
-]
-
-[package.dependencies]
-Werkzeug = ">=2.0.0"
-
-[[package]]
-name = "ruff"
-version = "0.9.1"
-description = "An extremely fast Python linter and code formatter, written in Rust."
-optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-files = [
-    {file = "ruff-0.9.1-py3-none-linux_armv6l.whl", hash = "sha256:84330dda7abcc270e6055551aca93fdde1b0685fc4fd358f26410f9349cf1743"},
-    {file = "ruff-0.9.1-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:3cae39ba5d137054b0e5b472aee3b78a7c884e61591b100aeb544bcd1fc38d4f"},
-    {file = "ruff-0.9.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:50c647ff96f4ba288db0ad87048257753733763b409b2faf2ea78b45c8bb7fcb"},
-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0c8b149e9c7353cace7d698e1656ffcf1e36e50f8ea3b5d5f7f87ff9986a7ca"},
-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:beb3298604540c884d8b282fe7625651378e1986c25df51dec5b2f60cafc31ce"},
-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:39d0174ccc45c439093971cc06ed3ac4dc545f5e8bdacf9f067adf879544d969"},
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-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:937267afce0c9170d6d29f01fcd1f4378172dec6760a9f4dface48cdabf9610a"},
-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:186c2313de946f2c22bdf5954b8dd083e124bcfb685732cfb0beae0c47233d9b"},
-    {file = "ruff-0.9.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f94942a3bb767675d9a051867c036655fe9f6c8a491539156a6f7e6b5f31831"},
-    {file = "ruff-0.9.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:728d791b769cc28c05f12c280f99e8896932e9833fef1dd8756a6af2261fd1ab"},
-    {file = "ruff-0.9.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2f312c86fb40c5c02b44a29a750ee3b21002bd813b5233facdaf63a51d9a85e1"},
-    {file = "ruff-0.9.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:ae017c3a29bee341ba584f3823f805abbe5fe9cd97f87ed07ecbf533c4c88366"},
-    {file = "ruff-0.9.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5dc40a378a0e21b4cfe2b8a0f1812a6572fc7b230ef12cd9fac9161aa91d807f"},
-    {file = "ruff-0.9.1-py3-none-win32.whl", hash = "sha256:46ebf5cc106cf7e7378ca3c28ce4293b61b449cd121b98699be727d40b79ba72"},
-    {file = "ruff-0.9.1-py3-none-win_amd64.whl", hash = "sha256:342a824b46ddbcdddd3abfbb332fa7fcaac5488bf18073e841236aadf4ad5c19"},
-    {file = "ruff-0.9.1-py3-none-win_arm64.whl", hash = "sha256:1cd76c7f9c679e6e8f2af8f778367dca82b95009bc7b1a85a47f1521ae524fa7"},
-    {file = "ruff-0.9.1.tar.gz", hash = "sha256:fd2b25ecaf907d6458fa842675382c8597b3c746a2dde6717fe3415425df0c17"},
-]
-
-[[package]]
-name = "sniffio"
-version = "1.3.1"
-description = "Sniff out which async library your code is running under"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
-    {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
-]
-
-[[package]]
-name = "tomli"
-version = "2.0.2"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_full_version <= \"3.11.0a6\""
-files = [
-    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
-    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
-]
-
-[[package]]
-name = "typing-extensions"
-version = "4.12.2"
-description = "Backported and Experimental Type Hints for Python 3.8+"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
-]
-
-[[package]]
-name = "werkzeug"
-version = "3.0.6"
-description = "The comprehensive WSGI web application library."
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"},
-    {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.1.1"
-
-[package.extras]
-watchdog = ["watchdog (>=2.3)"]
-
-[metadata]
-lock-version = "2.1"
-python-versions = "^3.8"
-content-hash = "ff70c562172e38058111703d8219e18a0ed367e8e3ff647d7eff457d3bf3204e"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -1,51 +1,67 @@
-[tool.poetry]
-name = "ollama"
-version = "0.0.0"
-description = "The official Python client for Ollama."
-authors = ["Ollama <hello@ollama.com>"]
+[project]
+name = 'ollama'
+description = 'The official Python client for Ollama.'
+authors = [
+    { email = 'hello@ollama.com' },
+]
+readme = 'README.md'
+requires-python = '>=3.8'
+dependencies = [
+    'httpx>=0.27',
+    'pydantic>=2.9',
+]
+dynamic = [ 'version' ]
 license = "MIT"
-readme = "README.md"
-homepage = "https://ollama.com"
-repository = "https://github.com/ollama/ollama-python"

-[tool.poetry.dependencies]
-python = "^3.8"
-httpx = ">=0.27,<0.29"
-pydantic = "^2.9.0"
-
-[tool.poetry.requires-plugins]
-poetry-plugin-export = ">=1.8"
-
-[tool.poetry.group.dev.dependencies]
-pytest = ">=7.4.3,<9.0.0"
-pytest-asyncio = ">=0.23.2,<0.25.0"
-pytest-cov = ">=4.1,<6.0"
-pytest-httpserver = "^1.0.8"
-ruff = ">=0.9.1,<0.10.0"
+[project.urls]
+homepage = 'https://ollama.com'
+repository = 'https://github.com/ollama/ollama-python'
+issues = 'https://github.com/ollama/ollama-python/issues'

 [build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
+requires = [ 'hatchling', 'hatch-vcs' ]
+build-backend = 'hatchling.build'
+
+[tool.hatch.version]
+source = 'vcs'
+
+[tool.hatch.envs.hatch-test]
+default-args = ['ollama', 'tests']
+extra-dependencies = [
+    'pytest-anyio',
+    'pytest-httpserver',
+]
+
+[tool.hatch.envs.hatch-static-analysis]
+dependencies = [ 'ruff>=0.9.1' ]
+config-path = 'none'

 [tool.ruff]
-line-length = 999
+line-length = 320 
 indent-width = 2

 [tool.ruff.format]
-quote-style = "single"
-indent-style = "space"
+quote-style = 'single'
+indent-style = 'space'
+docstring-code-format = false

 [tool.ruff.lint]
 select = [
-  "E", # pycodestyle errors
-  "F", # pyflakes
-  "B", # bugbear (likely bugs)
-  "I", # sort imports
-  "RUF022", # sort __all__
-]
-ignore = [
-  "E501", # line too long
+    'F', # pyflakes
+    'E', # pycodestyle errors
+    'W', # pycodestyle warnings
+    'I', # sort imports
+    'N', # pep8-naming
+    'ASYNC', # flake8-async
+    'FBT', # flake8-boolean-trap
+    'B', # flake8-bugbear
+    'C4', # flake8-comprehensions
+    'PIE', # flake8-pie
+    'SIM', # flake8-simplify
+    'FLY', # flynt
+    'RUF', # ruff-specific rules
 ]
+ignore = ['FBT001'] # Boolean-typed positional argument in function definition

 [tool.pytest.ini_options]
-addopts = '--doctest-modules --ignore examples'
+addopts = ['--doctest-modules']
--- a/requirements.txt
+++ b/requirements.txt
@ -1,123 +1,161 @@
-annotated-types==0.7.0 ; python_version >= "3.8" and python_version < "4.0" \
+# This file was autogenerated by uv via the following command:
+#    uv export
+-e .
+annotated-types==0.7.0 \
    --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \
    --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89
-anyio==4.5.2 ; python_version >= "3.8" and python_version < "4.0" \
+    # via pydantic
+anyio==4.5.2 ; python_full_version < '3.9' \
    --hash=sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b \
    --hash=sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f
-certifi==2024.8.30 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8 \
-    --hash=sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9
-exceptiongroup==1.2.2 ; python_version >= "3.8" and python_version < "3.11" \
+    # via httpx
+anyio==4.8.0 ; python_full_version >= '3.9' \
+    --hash=sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a \
+    --hash=sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a
+    # via httpx
+certifi==2025.1.31 \
+    --hash=sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651 \
+    --hash=sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe
+    # via
+    #   httpcore
+    #   httpx
+exceptiongroup==1.2.2 ; python_full_version < '3.11' \
    --hash=sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b \
    --hash=sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc
-h11==0.14.0 ; python_version >= "3.8" and python_version < "4.0" \
+    # via anyio
+h11==0.14.0 \
    --hash=sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d \
    --hash=sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761
-httpcore==1.0.6 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f \
-    --hash=sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f
-httpx==0.28.1 ; python_version >= "3.8" and python_version < "4.0" \
+    # via httpcore
+httpcore==1.0.7 \
+    --hash=sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c \
+    --hash=sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd
+    # via httpx
+httpx==0.28.1 \
    --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \
    --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad
-idna==3.10 ; python_version >= "3.8" and python_version < "4.0" \
+    # via ollama
+idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
-pydantic-core==2.23.4 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \
-    --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \
-    --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \
-    --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \
-    --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \
-    --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \
-    --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \
-    --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \
-    --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \
-    --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \
-    --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \
-    --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \
-    --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \
-    --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \
-    --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \
-    --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \
-    --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \
-    --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \
-    --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \
-    --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \
-    --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \
-    --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \
-    --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \
-    --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \
-    --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \
-    --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \
-    --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \
-    --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \
-    --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \
-    --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \
-    --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \
-    --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \
-    --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \
-    --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \
-    --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \
-    --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \
-    --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \
-    --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \
-    --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \
-    --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \
-    --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \
-    --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \
-    --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \
-    --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \
-    --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \
-    --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \
-    --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \
-    --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \
-    --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \
-    --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \
-    --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \
-    --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \
-    --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \
-    --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \
-    --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \
-    --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \
-    --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \
-    --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \
-    --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \
-    --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \
-    --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \
-    --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \
-    --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \
-    --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \
-    --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \
-    --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \
-    --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \
-    --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \
-    --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \
-    --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \
-    --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \
-    --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \
-    --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \
-    --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \
-    --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \
-    --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \
-    --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \
-    --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \
-    --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \
-    --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \
-    --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \
-    --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \
-    --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \
-    --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \
-    --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \
-    --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \
-    --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \
-    --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \
-    --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607
-pydantic==2.9.2 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \
-    --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12
-sniffio==1.3.1 ; python_version >= "3.8" and python_version < "4.0" \
+    # via
+    #   anyio
+    #   httpx
+pydantic==2.10.6 \
+    --hash=sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584 \
+    --hash=sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236
+    # via ollama
+pydantic-core==2.27.2 \
+    --hash=sha256:00bad2484fa6bda1e216e7345a798bd37c68fb2d97558edd584942aa41b7d278 \
+    --hash=sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50 \
+    --hash=sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9 \
+    --hash=sha256:044a50963a614ecfae59bb1eaf7ea7efc4bc62f49ed594e18fa1e5d953c40e9f \
+    --hash=sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6 \
+    --hash=sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc \
+    --hash=sha256:097830ed52fd9e427942ff3b9bc17fab52913b2f50f2880dc4a5611446606a54 \
+    --hash=sha256:0d1e85068e818c73e048fe28cfc769040bb1f475524f4745a5dc621f75ac7630 \
+    --hash=sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9 \
+    --hash=sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236 \
+    --hash=sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7 \
+    --hash=sha256:18a101c168e4e092ab40dbc2503bdc0f62010e95d292b27827871dc85450d7ee \
+    --hash=sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b \
+    --hash=sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048 \
+    --hash=sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc \
+    --hash=sha256:1ebaf1d0481914d004a573394f4be3a7616334be70261007e47c2a6fe7e50130 \
+    --hash=sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4 \
+    --hash=sha256:251136cdad0cb722e93732cb45ca5299fb56e1344a833640bf93b2803f8d1bfd \
+    --hash=sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4 \
+    --hash=sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7 \
+    --hash=sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7 \
+    --hash=sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4 \
+    --hash=sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e \
+    --hash=sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa \
+    --hash=sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6 \
+    --hash=sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962 \
+    --hash=sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b \
+    --hash=sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f \
+    --hash=sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474 \
+    --hash=sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5 \
+    --hash=sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459 \
+    --hash=sha256:42c5f762659e47fdb7b16956c71598292f60a03aa92f8b6351504359dbdba6cf \
+    --hash=sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a \
+    --hash=sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c \
+    --hash=sha256:4c9775e339e42e79ec99c441d9730fccf07414af63eac2f0e48e08fd38a64d76 \
+    --hash=sha256:4e0b4220ba5b40d727c7f879eac379b822eee5d8fff418e9d3381ee45b3b0362 \
+    --hash=sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4 \
+    --hash=sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934 \
+    --hash=sha256:521eb9b7f036c9b6187f0b47318ab0d7ca14bd87f776240b90b21c1f4f149320 \
+    --hash=sha256:57762139821c31847cfb2df63c12f725788bd9f04bc2fb392790959b8f70f118 \
+    --hash=sha256:5e4f4bb20d75e9325cc9696c6802657b58bc1dbbe3022f32cc2b2b632c3fbb96 \
+    --hash=sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306 \
+    --hash=sha256:669e193c1c576a58f132e3158f9dfa9662969edb1a250c54d8fa52590045f046 \
+    --hash=sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3 \
+    --hash=sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2 \
+    --hash=sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af \
+    --hash=sha256:71b24c7d61131bb83df10cc7e687433609963a944ccf45190cfc21e0887b08c9 \
+    --hash=sha256:77d1bca19b0f7021b3a982e6f903dcd5b2b06076def36a652e3907f596e29f67 \
+    --hash=sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a \
+    --hash=sha256:7a66efda2387de898c8f38c0cf7f14fca0b51a8ef0b24bfea5849f1b3c95af27 \
+    --hash=sha256:7d0c8399fcc1848491f00e0314bd59fb34a9c008761bcb422a057670c3f65e35 \
+    --hash=sha256:7d14bd329640e63852364c306f4d23eb744e0f8193148d4044dd3dacdaacbd8b \
+    --hash=sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151 \
+    --hash=sha256:8083d4e875ebe0b864ffef72a4304827015cff328a1be6e22cc850753bfb122b \
+    --hash=sha256:82f91663004eb8ed30ff478d77c4d1179b3563df6cdb15c0817cd1cdaf34d154 \
+    --hash=sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133 \
+    --hash=sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef \
+    --hash=sha256:85210c4d99a0114f5a9481b44560d7d1e35e32cc5634c656bc48e590b669b145 \
+    --hash=sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15 \
+    --hash=sha256:8d9b3388db186ba0c099a6d20f0604a44eabdeef1777ddd94786cdae158729e4 \
+    --hash=sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc \
+    --hash=sha256:953101387ecf2f5652883208769a79e48db18c6df442568a0b5ccd8c2723abee \
+    --hash=sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c \
+    --hash=sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0 \
+    --hash=sha256:9fdbe7629b996647b99c01b37f11170a57ae675375b14b8c13b8518b8320ced5 \
+    --hash=sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57 \
+    --hash=sha256:ac4dbfd1691affb8f48c2c13241a2e3b60ff23247cbcf981759c768b6633cf8b \
+    --hash=sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8 \
+    --hash=sha256:ba5dd002f88b78a4215ed2f8ddbdf85e8513382820ba15ad5ad8955ce0ca19a1 \
+    --hash=sha256:bca101c00bff0adb45a833f8451b9105d9df18accb8743b08107d7ada14bd7da \
+    --hash=sha256:bd8086fa684c4775c27f03f062cbb9eaa6e17f064307e86b21b9e0abc9c0f02e \
+    --hash=sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc \
+    --hash=sha256:c10eb4f1659290b523af58fa7cffb452a61ad6ae5613404519aee4bfbf1df993 \
+    --hash=sha256:c33939a82924da9ed65dab5a65d427205a73181d8098e79b6b426bdf8ad4e656 \
+    --hash=sha256:c61709a844acc6bf0b7dce7daae75195a10aac96a596ea1b776996414791ede4 \
+    --hash=sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c \
+    --hash=sha256:c817e2b40aba42bac6f457498dacabc568c3b7a986fc9ba7c8d9d260b71485fb \
+    --hash=sha256:cabb9bcb7e0d97f74df8646f34fc76fbf793b7f6dc2438517d7a9e50eee4f14d \
+    --hash=sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9 \
+    --hash=sha256:cca63613e90d001b9f2f9a9ceb276c308bfa2a43fafb75c8031c4f66039e8c6e \
+    --hash=sha256:ce8918cbebc8da707ba805b7fd0b382816858728ae7fe19a942080c24e5b7cd1 \
+    --hash=sha256:d2088237af596f0a524d3afc39ab3b036e8adb054ee57cbb1dcf8e09da5b29cc \
+    --hash=sha256:d262606bf386a5ba0b0af3b97f37c83d7011439e3dc1a9298f21efb292e42f1a \
+    --hash=sha256:d2d63f1215638d28221f664596b1ccb3944f6e25dd18cd3b86b0a4c408d5ebb9 \
+    --hash=sha256:d3e8d504bdd3f10835468f29008d72fc8359d95c9c415ce6e767203db6127506 \
+    --hash=sha256:d4041c0b966a84b4ae7a09832eb691a35aec90910cd2dbe7a208de59be77965b \
+    --hash=sha256:d716e2e30c6f140d7560ef1538953a5cd1a87264c737643d481f2779fc247fe1 \
+    --hash=sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d \
+    --hash=sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99 \
+    --hash=sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3 \
+    --hash=sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31 \
+    --hash=sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c \
+    --hash=sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39 \
+    --hash=sha256:eda3f5c2a021bbc5d976107bb302e0131351c2ba54343f8a496dc8783d3d3a6a \
+    --hash=sha256:ef592d4bad47296fb11f96cd7dc898b92e795032b4894dfb4076cfccd43a9308 \
+    --hash=sha256:f141ee28a0ad2123b6611b6ceff018039df17f32ada8b534e6aa039545a3efb2 \
+    --hash=sha256:f66d89ba397d92f840f8654756196d93804278457b5fbede59598a1f9f90b228 \
+    --hash=sha256:f6f8e111843bbb0dee4cb6594cdc73e79b3329b526037ec242a3e49012495b3b \
+    --hash=sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9 \
+    --hash=sha256:fd1aea04935a508f62e0d0ef1f5ae968774a32afc306fb8545e06f5ff5cdf3ad
+    # via pydantic
+sniffio==1.3.1 \
    --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \
    --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc
-typing-extensions==4.12.2 ; python_version >= "3.8" and python_version < "4.0" \
+    # via anyio
+typing-extensions==4.12.2 \
    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8
+    # via
+    #   annotated-types
+    #   anyio
+    #   pydantic
+    #   pydantic-core
--- a/tests/test_client.py
+++ b/tests/test_client.py
@ -4,17 +4,27 @@ import os
 import re
 import tempfile
 from pathlib import Path
+from typing import Any

 import pytest
-from pydantic import BaseModel, ValidationError
+from httpx import Response as httpxResponse
+from pydantic import BaseModel
 from pytest_httpserver import HTTPServer, URIPattern
 from werkzeug.wrappers import Request, Response

 from ollama._client import CONNECTION_ERROR_MESSAGE, AsyncClient, Client, _copy_tools
+from ollama._types import Image, Message

 PNG_BASE64 = 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAADElEQVR4nGNgYGAAAAAEAAH2FzhVAAAAAElFTkSuQmCC'
 PNG_BYTES = base64.b64decode(PNG_BASE64)

+pytestmark = pytest.mark.anyio
+
+
+@pytest.fixture
+def anyio_backend():
+  return 'asyncio'
+

 class PrefixPattern(URIPattern):
  def __init__(self, prefix: str):
@ -51,6 +61,44 @@ def test_client_chat(httpserver: HTTPServer):
  assert response['message']['content'] == "I don't know."


+def test_client_chat_with_logprobs(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/chat',
+    method='POST',
+    json={
+      'model': 'dummy',
+      'messages': [{'role': 'user', 'content': 'Hi'}],
+      'tools': [],
+      'stream': False,
+      'logprobs': True,
+      'top_logprobs': 3,
+    },
+  ).respond_with_json(
+    {
+      'model': 'dummy',
+      'message': {
+        'role': 'assistant',
+        'content': 'Hello',
+      },
+      'logprobs': [
+        {
+          'token': 'Hello',
+          'logprob': -0.1,
+          'top_logprobs': [
+            {'token': 'Hello', 'logprob': -0.1},
+            {'token': 'Hi', 'logprob': -1.0},
+          ],
+        }
+      ],
+    }
+  )
+
+  client = Client(httpserver.url_for('/'))
+  response = client.chat('dummy', messages=[{'role': 'user', 'content': 'Hi'}], logprobs=True, top_logprobs=3)
+  assert response['logprobs'][0]['token'] == 'Hello'
+  assert response['logprobs'][0]['top_logprobs'][1]['token'] == 'Hi'
+
+
 def test_client_chat_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -202,7 +250,6 @@ def test_client_chat_format_pydantic(httpserver: HTTPServer):
  assert response['message']['content'] == '{"answer": "Because of Rayleigh scattering", "confidence": 0.95}'


-@pytest.mark.asyncio
 async def test_async_client_chat_format_json(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/chat',
@ -231,7 +278,6 @@ async def test_async_client_chat_format_json(httpserver: HTTPServer):
  assert response['message']['content'] == '{"answer": "Because of Rayleigh scattering"}'


-@pytest.mark.asyncio
 async def test_async_client_chat_format_pydantic(httpserver: HTTPServer):
  class ResponseFormat(BaseModel):
    answer: str
@ -286,6 +332,80 @@ def test_client_generate(httpserver: HTTPServer):
  assert response['response'] == 'Because it is.'


+def test_client_generate_with_logprobs(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy',
+      'prompt': 'Why',
+      'stream': False,
+      'logprobs': True,
+      'top_logprobs': 2,
+    },
+  ).respond_with_json(
+    {
+      'model': 'dummy',
+      'response': 'Hello',
+      'logprobs': [
+        {
+          'token': 'Hello',
+          'logprob': -0.2,
+          'top_logprobs': [
+            {'token': 'Hello', 'logprob': -0.2},
+            {'token': 'Hi', 'logprob': -1.5},
+          ],
+        }
+      ],
+    }
+  )
+
+  client = Client(httpserver.url_for('/'))
+  response = client.generate('dummy', 'Why', logprobs=True, top_logprobs=2)
+  assert response['logprobs'][0]['token'] == 'Hello'
+  assert response['logprobs'][0]['top_logprobs'][1]['token'] == 'Hi'
+
+
+def test_client_generate_with_image_type(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy',
+      'prompt': 'What is in this image?',
+      'stream': False,
+      'images': [PNG_BASE64],
+    },
+  ).respond_with_json(
+    {
+      'model': 'dummy',
+      'response': 'A blue sky.',
+    }
+  )
+
+  client = Client(httpserver.url_for('/'))
+  response = client.generate('dummy', 'What is in this image?', images=[Image(value=PNG_BASE64)])
+  assert response['model'] == 'dummy'
+  assert response['response'] == 'A blue sky.'
+
+
+def test_client_generate_with_invalid_image(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy',
+      'prompt': 'What is in this image?',
+      'stream': False,
+      'images': ['invalid_base64'],
+    },
+  ).respond_with_json({'error': 'Invalid image data'}, status=400)
+
+  client = Client(httpserver.url_for('/'))
+  with pytest.raises(ValueError):
+    client.generate('dummy', 'What is in this image?', images=[Image(value='invalid_base64')])
+
+
 def test_client_generate_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -398,7 +518,6 @@ def test_client_generate_format_pydantic(httpserver: HTTPServer):
  assert response['response'] == '{"answer": "Because of Rayleigh scattering", "confidence": 0.95}'


-@pytest.mark.asyncio
 async def test_async_client_generate_format_json(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/generate',
@ -422,7 +541,6 @@ async def test_async_client_generate_format_json(httpserver: HTTPServer):
  assert response['response'] == '{"answer": "Because of Rayleigh scattering"}'


-@pytest.mark.asyncio
 async def test_async_client_generate_format_pydantic(httpserver: HTTPServer):
  class ResponseFormat(BaseModel):
    answer: str
@ -450,6 +568,115 @@ async def test_async_client_generate_format_pydantic(httpserver: HTTPServer):
  assert response['response'] == '{"answer": "Because of Rayleigh scattering", "confidence": 0.95}'


+def test_client_generate_image(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy-image',
+      'prompt': 'a sunset over mountains',
+      'stream': False,
+      'width': 1024,
+      'height': 768,
+      'steps': 20,
+    },
+  ).respond_with_json(
+    {
+      'model': 'dummy-image',
+      'image': PNG_BASE64,
+      'done': True,
+      'done_reason': 'stop',
+    }
+  )
+
+  client = Client(httpserver.url_for('/'))
+  response = client.generate('dummy-image', 'a sunset over mountains', width=1024, height=768, steps=20)
+  assert response['model'] == 'dummy-image'
+  assert response['image'] == PNG_BASE64
+  assert response['done'] is True
+
+
+def test_client_generate_image_stream(httpserver: HTTPServer):
+  def stream_handler(_: Request):
+    def generate():
+      # Progress updates
+      for i in range(1, 4):
+        yield (
+          json.dumps(
+            {
+              'model': 'dummy-image',
+              'completed': i,
+              'total': 3,
+              'done': False,
+            }
+          )
+          + '\n'
+        )
+      # Final response with image
+      yield (
+        json.dumps(
+          {
+            'model': 'dummy-image',
+            'image': PNG_BASE64,
+            'done': True,
+            'done_reason': 'stop',
+          }
+        )
+        + '\n'
+      )
+
+    return Response(generate())
+
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy-image',
+      'prompt': 'a sunset over mountains',
+      'stream': True,
+      'width': 512,
+      'height': 512,
+    },
+  ).respond_with_handler(stream_handler)
+
+  client = Client(httpserver.url_for('/'))
+  response = client.generate('dummy-image', 'a sunset over mountains', stream=True, width=512, height=512)
+
+  parts = list(response)
+  # Check progress updates
+  assert parts[0]['completed'] == 1
+  assert parts[0]['total'] == 3
+  assert parts[0]['done'] is False
+  # Check final response
+  assert parts[-1]['image'] == PNG_BASE64
+  assert parts[-1]['done'] is True
+
+
+async def test_async_client_generate_image(httpserver: HTTPServer):
+  httpserver.expect_ordered_request(
+    '/api/generate',
+    method='POST',
+    json={
+      'model': 'dummy-image',
+      'prompt': 'a robot painting',
+      'stream': False,
+      'width': 1024,
+      'height': 1024,
+    },
+  ).respond_with_json(
+    {
+      'model': 'dummy-image',
+      'image': PNG_BASE64,
+      'done': True,
+    }
+  )
+
+  client = AsyncClient(httpserver.url_for('/'))
+  response = await client.generate('dummy-image', 'a robot painting', width=1024, height=1024)
+  assert response['model'] == 'dummy-image'
+  assert response['image'] == PNG_BASE64
+
+
 def test_client_pull(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/pull',
@ -652,7 +879,6 @@ def test_client_copy(httpserver: HTTPServer):
  assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_chat(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/chat',
@ -680,7 +906,6 @@ async def test_async_client_chat(httpserver: HTTPServer):
  assert response['message']['content'] == "I don't know."


-@pytest.mark.asyncio
 async def test_async_client_chat_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -720,7 +945,6 @@ async def test_async_client_chat_stream(httpserver: HTTPServer):
    assert part['message']['content'] == next(it)


-@pytest.mark.asyncio
 async def test_async_client_chat_images(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/chat',
@ -755,7 +979,6 @@ async def test_async_client_chat_images(httpserver: HTTPServer):
  assert response['message']['content'] == "I don't know."


-@pytest.mark.asyncio
 async def test_async_client_generate(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/generate',
@ -778,7 +1001,6 @@ async def test_async_client_generate(httpserver: HTTPServer):
  assert response['response'] == 'Because it is.'


-@pytest.mark.asyncio
 async def test_async_client_generate_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -814,7 +1036,6 @@ async def test_async_client_generate_stream(httpserver: HTTPServer):
    assert part['response'] == next(it)


-@pytest.mark.asyncio
 async def test_async_client_generate_images(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/generate',
@ -842,7 +1063,6 @@ async def test_async_client_generate_images(httpserver: HTTPServer):
    assert response['response'] == 'Because it is.'


-@pytest.mark.asyncio
 async def test_async_client_pull(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/pull',
@ -859,7 +1079,6 @@ async def test_async_client_pull(httpserver: HTTPServer):
  assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_pull_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -889,7 +1108,6 @@ async def test_async_client_pull_stream(httpserver: HTTPServer):
    assert part['status'] == next(it)


-@pytest.mark.asyncio
 async def test_async_client_push(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/push',
@ -906,7 +1124,6 @@ async def test_async_client_push(httpserver: HTTPServer):
  assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_push_stream(httpserver: HTTPServer):
  def stream_handler(_: Request):
    def generate():
@ -934,7 +1151,6 @@ async def test_async_client_push_stream(httpserver: HTTPServer):
    assert part['status'] == next(it)


-@pytest.mark.asyncio
 async def test_async_client_create_with_blob(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/create',
@ -953,7 +1169,6 @@ async def test_async_client_create_with_blob(httpserver: HTTPServer):
    assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_create_with_parameters_roundtrip(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/create',
@ -990,7 +1205,6 @@ async def test_async_client_create_with_parameters_roundtrip(httpserver: HTTPSer
    assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_create_from_library(httpserver: HTTPServer):
  httpserver.expect_ordered_request(
    '/api/create',
@ -1008,7 +1222,6 @@ async def test_async_client_create_from_library(httpserver: HTTPServer):
  assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_create_blob(httpserver: HTTPServer):
  httpserver.expect_ordered_request(re.compile('^/api/blobs/sha256[:-][0-9a-fA-F]{64}$'), method='POST').respond_with_response(Response(status=201))

@ -1019,7 +1232,6 @@ async def test_async_client_create_blob(httpserver: HTTPServer):
    assert response == 'sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855'


-@pytest.mark.asyncio
 async def test_async_client_create_blob_exists(httpserver: HTTPServer):
  httpserver.expect_ordered_request(PrefixPattern('/api/blobs/'), method='POST').respond_with_response(Response(status=200))

@ -1030,7 +1242,6 @@ async def test_async_client_create_blob_exists(httpserver: HTTPServer):
    assert response == 'sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855'


-@pytest.mark.asyncio
 async def test_async_client_delete(httpserver: HTTPServer):
  httpserver.expect_ordered_request(PrefixPattern('/api/delete'), method='DELETE').respond_with_response(Response(status=200))
  client = AsyncClient(httpserver.url_for('/api/delete'))
@ -1038,7 +1249,6 @@ async def test_async_client_delete(httpserver: HTTPServer):
  assert response['status'] == 'success'


-@pytest.mark.asyncio
 async def test_async_client_copy(httpserver: HTTPServer):
  httpserver.expect_ordered_request(PrefixPattern('/api/copy'), method='POST').respond_with_response(Response(status=200))
  client = AsyncClient(httpserver.url_for('/api/copy'))
@ -1068,14 +1278,12 @@ def test_copy_tools():
    Args:
        x (integer): A number
    """
-    pass

  def func2(y: str) -> int:
    """Simple function 2.
    Args:
        y (string): A string
    """
-    pass

  # Test with list of functions
  tools = list(_copy_tools([func1, func2]))
@ -1096,7 +1304,7 @@ def test_copy_tools():
      'description': 'Test function',
      'parameters': {
        'type': 'object',
-        'properties': {'x': {'type': 'string', 'description': 'A string'}},
+        'properties': {'x': {'type': 'string', 'description': 'A string', 'enum': ['a', 'b', 'c']}, 'y': {'type': ['integer', 'number'], 'description': 'An integer'}},
        'required': ['x'],
      },
    },
@ -1109,10 +1317,11 @@ def test_copy_tools():


 def test_tool_validation():
-  # Raises ValidationError when used as it is a generator
-  with pytest.raises(ValidationError):
-    invalid_tool = {'type': 'invalid_type', 'function': {'name': 'test'}}
-    list(_copy_tools([invalid_tool]))
+  arbitrary_tool = {'type': 'custom_type', 'function': {'name': 'test'}}
+  tools = list(_copy_tools([arbitrary_tool]))
+  assert len(tools) == 1
+  assert tools[0].type == 'custom_type'
+  assert tools[0].function.name == 'test'


 def test_client_connection_error():
@ -1128,7 +1337,6 @@ def test_client_connection_error():
    client.show('model')


-@pytest.mark.asyncio
 async def test_async_client_connection_error():
  client = AsyncClient('http://localhost:1234')
  with pytest.raises(ConnectionError) as exc_info:
@ -1140,3 +1348,141 @@ async def test_async_client_connection_error():
  with pytest.raises(ConnectionError) as exc_info:
    await client.show('model')
  assert str(exc_info.value) == 'Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible. https://ollama.com/download'
+
+
+def test_arbitrary_roles_accepted_in_message():
+  _ = Message(role='somerandomrole', content="I'm ok with you adding any role message now!")
+
+
+def _mock_request(*args: Any, **kwargs: Any) -> Response:
+  return httpxResponse(status_code=200, content="{'response': 'Hello world!'}")
+
+
+def test_arbitrary_roles_accepted_in_message_request(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setattr(Client, '_request', _mock_request)
+
+  client = Client()
+
+  client.chat(model='llama3.1', messages=[{'role': 'somerandomrole', 'content': "I'm ok with you adding any role message now!"}, {'role': 'user', 'content': 'Hello world!'}])
+
+
+async def _mock_request_async(*args: Any, **kwargs: Any) -> Response:
+  return httpxResponse(status_code=200, content="{'response': 'Hello world!'}")
+
+
+async def test_arbitrary_roles_accepted_in_message_request_async(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setattr(AsyncClient, '_request', _mock_request_async)
+
+  client = AsyncClient()
+
+  await client.chat(model='llama3.1', messages=[{'role': 'somerandomrole', 'content': "I'm ok with you adding any role message now!"}, {'role': 'user', 'content': 'Hello world!'}])
+
+
+def test_client_web_search_requires_bearer_auth_header(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.delenv('OLLAMA_API_KEY', raising=False)
+
+  client = Client()
+
+  with pytest.raises(ValueError, match='Authorization header with Bearer token is required for web search'):
+    client.web_search('test query')
+
+
+def test_client_web_fetch_requires_bearer_auth_header(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.delenv('OLLAMA_API_KEY', raising=False)
+
+  client = Client()
+
+  with pytest.raises(ValueError, match='Authorization header with Bearer token is required for web fetch'):
+    client.web_fetch('https://example.com')
+
+
+def _mock_request_web_search(self, cls, method, url, json=None, **kwargs):
+  assert method == 'POST'
+  assert url == 'https://ollama.com/api/web_search'
+  assert json is not None and 'query' in json and 'max_results' in json
+  return httpxResponse(status_code=200, content='{"results": {}, "success": true}')
+
+
+def _mock_request_web_fetch(self, cls, method, url, json=None, **kwargs):
+  assert method == 'POST'
+  assert url == 'https://ollama.com/api/web_fetch'
+  assert json is not None and 'url' in json
+  return httpxResponse(status_code=200, content='{"results": {}, "success": true}')
+
+
+def test_client_web_search_with_env_api_key(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setenv('OLLAMA_API_KEY', 'test-key')
+  monkeypatch.setattr(Client, '_request', _mock_request_web_search)
+
+  client = Client()
+  client.web_search('what is ollama?', max_results=2)
+
+
+def test_client_web_fetch_with_env_api_key(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setenv('OLLAMA_API_KEY', 'test-key')
+  monkeypatch.setattr(Client, '_request', _mock_request_web_fetch)
+
+  client = Client()
+  client.web_fetch('https://example.com')
+
+
+def test_client_web_search_with_explicit_bearer_header(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.delenv('OLLAMA_API_KEY', raising=False)
+  monkeypatch.setattr(Client, '_request', _mock_request_web_search)
+
+  client = Client(headers={'Authorization': 'Bearer custom-token'})
+  client.web_search('what is ollama?', max_results=1)
+
+
+def test_client_web_fetch_with_explicit_bearer_header(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.delenv('OLLAMA_API_KEY', raising=False)
+  monkeypatch.setattr(Client, '_request', _mock_request_web_fetch)
+
+  client = Client(headers={'Authorization': 'Bearer custom-token'})
+  client.web_fetch('https://example.com')
+
+
+def test_client_bearer_header_from_env(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setenv('OLLAMA_API_KEY', 'env-token')
+
+  client = Client()
+  assert client._client.headers['authorization'] == 'Bearer env-token'
+
+
+def test_client_explicit_bearer_header_overrides_env(monkeypatch: pytest.MonkeyPatch):
+  monkeypatch.setenv('OLLAMA_API_KEY', 'env-token')
+  monkeypatch.setattr(Client, '_request', _mock_request_web_search)
+
+  client = Client(headers={'Authorization': 'Bearer explicit-token'})
+  assert client._client.headers['authorization'] == 'Bearer explicit-token'
+  client.web_search('override check')
+
+
+def test_client_close():
+  client = Client()
+  client.close()
+  assert client._client.is_closed
+
+
+@pytest.mark.anyio
+async def test_async_client_close():
+  client = AsyncClient()
+  await client.close()
+  assert client._client.is_closed
+
+
+def test_client_context_manager():
+  with Client() as client:
+    assert isinstance(client, Client)
+    assert not client._client.is_closed
+
+  assert client._client.is_closed
+
+
+@pytest.mark.anyio
+async def test_async_client_context_manager():
+  async with AsyncClient() as client:
+    assert isinstance(client, AsyncClient)
+    assert not client._client.is_closed
+
+  assert client._client.is_closed
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@ -37,7 +37,6 @@ def test_function_with_no_args():
    Returns:
        None
    """
-    pass

  tool = convert_function_to_tool(simple_func).model_dump()
  assert tool['function']['name'] == 'simple_func'
@ -64,7 +63,6 @@ def test_function_with_all_types():
          w (object): The fourth number
          v (integer | string | None): The fifth number
      """
-      pass
  else:

    def all_types(
@ -91,7 +89,6 @@ def test_function_with_all_types():
          l (array): The eighth number
          o (integer | None): The ninth number
      """
-      pass

  tool_json = convert_function_to_tool(all_types).model_dump_json()
  tool = json.loads(tool_json)
@ -101,7 +98,7 @@ def test_function_with_all_types():
  if sys.version_info >= (3, 10):
    assert tool['function']['parameters']['properties']['z']['type'] == 'array'
    assert tool['function']['parameters']['properties']['w']['type'] == 'object'
-    assert set(x.strip().strip("'") for x in tool['function']['parameters']['properties']['v']['type'].removeprefix('[').removesuffix(']').split(',')) == {'string', 'integer'}
+    assert {x.strip().strip("'") for x in tool['function']['parameters']['properties']['v']['type'].removeprefix('[').removesuffix(']').split(',')} == {'string', 'integer'}
    assert tool['function']['parameters']['properties']['v']['type'] != 'null'
    assert tool['function']['parameters']['required'] == ['x', 'y', 'z', 'w']
  else:
@ -133,7 +130,6 @@ def test_function_docstring_parsing():
        object: A dictionary
            with multiple lines
    """
-    pass

  tool = convert_function_to_tool(func_with_complex_docs).model_dump()
  assert tool['function']['description'] == 'Test function with complex docstring.'
@ -155,7 +151,6 @@ def test_skewed_docstring_parsing():
    Returns:
        integer: The sum of x and y
    """
-    pass

  tool = convert_function_to_tool(add_two_numbers).model_dump()
  assert tool['function']['parameters']['properties']['x']['description'] == ': The first number'
@ -163,11 +158,9 @@ def test_skewed_docstring_parsing():


 def test_function_with_no_docstring():
-  def no_docstring():
-    pass
+  def no_docstring(): ...

-  def no_docstring_with_args(x: int, y: int):
-    pass
+  def no_docstring_with_args(x: int, y: int): ...

  tool = convert_function_to_tool(no_docstring).model_dump()
  assert tool['function']['description'] == ''
@ -183,25 +176,25 @@ def test_function_with_only_description():
    """
    A function with only a description.
    """
-    pass

  tool = convert_function_to_tool(only_description).model_dump()
  assert tool['function']['description'] == 'A function with only a description.'
-  assert tool['function']['parameters'] == {'type': 'object', 'properties': {}, 'required': None}
+  assert tool['function']['parameters'] == {'type': 'object', 'defs': None, 'items': None, 'required': None, 'properties': {}}

  def only_description_with_args(x: int, y: int):
    """
    A function with only a description.
    """
-    pass

  tool = convert_function_to_tool(only_description_with_args).model_dump()
  assert tool['function']['description'] == 'A function with only a description.'
  assert tool['function']['parameters'] == {
    'type': 'object',
+    'defs': None,
+    'items': None,
    'properties': {
-      'x': {'type': 'integer', 'description': ''},
-      'y': {'type': 'integer', 'description': ''},
+      'x': {'type': 'integer', 'description': '', 'enum': None, 'items': None},
+      'y': {'type': 'integer', 'description': '', 'enum': None, 'items': None},
    },
    'required': ['x', 'y'],
  }
@ -219,7 +212,6 @@ def test_function_with_yields():
    Yields:
      The sum of x and y
    """
-    pass

  tool = convert_function_to_tool(function_with_yields).model_dump()
  assert tool['function']['description'] == 'A function with yields section.'
@ -232,7 +224,6 @@ def test_function_with_no_types():
    """
    A function with no types.
    """
-    pass

  tool = convert_function_to_tool(no_types).model_dump()
  assert tool['function']['parameters']['properties']['a']['type'] == 'string'
@ -249,7 +240,6 @@ def test_function_with_parentheses():
    Returns:
        int: The sum of a and b
    """
-    pass

  def func_with_parentheses_and_args(a: int, b: int):
    """
@ -258,7 +248,6 @@ def test_function_with_parentheses():
        a(integer) : First (:thing) number to add
        b(integer) :Second number to add
    """
-    pass

  tool = convert_function_to_tool(func_with_parentheses).model_dump()
  assert tool['function']['parameters']['properties']['a']['description'] == 'First (:thing) number to add'
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Author	SHA1	Message	Date
Jeffrey Morgan	dbccf192ac	Add image generation support (#616 )	2026-01-23 00:33:52 -08:00
dependabot[bot]	60e7b2f9ce	build(deps): bump actions/checkout from 5 to 6 (#602 ) Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-12-29 12:03:13 -08:00
Parth Sareen	d1d704050b	client: expose resource cleanup methods (#444 )	2025-12-10 17:09:19 -08:00
Eden Chan	115792583e	readme: add cloud models usage and examples (#595 )	2025-11-13 15:03:58 -08:00
Parth Sareen	0008226fda	client/types: add logprobs support (#601 )	2025-11-12 18:08:42 -08:00
Parth Sareen	9ddd5f0182	examples: fix model web search (#589 )	2025-09-24 15:53:51 -07:00
Parth Sareen	d967f048d9	examples: gpt oss browser tool (#588 ) --------- Co-authored-by: nicole pardal <nicolepardall@gmail.com>	2025-09-24 15:40:53 -07:00
Parth Sareen	ab49a669cd	examples: add mcp server for web_search web_crawl (#585 )	2025-09-23 21:54:43 -07:00
nicole pardal	16f344f635	client/types: update web search and fetch API (#584 ) --------- Co-authored-by: ParthSareen <parth.sareen@ollama.com>	2025-09-23 13:27:36 -07:00
Parth Sareen	d0f71bc8b8	client: load OLLAMA_API_KEY on init (#583 )	2025-09-22 20:28:40 -07:00
Parth Sareen	b22c5fdabb	init: fix export for web_search (#581 )	2025-09-19 10:06:30 -07:00
Parth Sareen	4d0b81b37a	client: add web search and web crawl capabilities (#578 )	2025-09-18 16:51:20 -07:00
Michael Yang	a1d04f04f2	feat: add dimensions to embed request (#574 )	2025-09-15 17:23:03 -07:00
dependabot[bot]	8af6cac86b	build(deps): bump actions/setup-python from 5 to 6 (#571 ) Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5 to 6. - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](https://github.com/actions/setup-python/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/setup-python dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-09-05 15:40:16 -07:00
Mark Ward	9f41447f20	examples: make gpt-oss resilient for failed tool calls (#569 )	2025-09-02 13:58:36 -07:00
Parth Sareen	da79e987f0	examples: fix gpt-oss-tools-stream for adding toolcalls (#568 )	2025-08-21 13:44:59 -07:00
Bryon Tjanaka	c8392d6524	Fix link for thinking-levels.py (#567 ) Resolves #554	2025-08-20 00:19:07 -07:00
Parth Sareen	07ab287cdf	examples/gpt-oss: fix examples (#566 )	2025-08-19 11:08:57 -07:00
dependabot[bot]	b0f6b99ca6	build(deps): bump actions/checkout from 4 to 5 (#559 ) Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 5. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v4...v5) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '5' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-08-12 14:40:10 -07:00
Parth Sareen	c87604c66f	examples: add gpt-oss browser example (#558 )	2025-08-11 16:59:26 -07:00
Devon Rifkin	53ff3cd025	Merge pull request #553 from ollama/drifkin/thinking-levels add support for 'high'/'medium'/'low' think values	2025-08-07 14:42:12 -07:00
Devon Rifkin	aa4b476f26	add support for 'high'/'medium'/'low' think values currently only supported on gpt-oss, but as more models come out with support like this we'll likely relax the particular values that can be provided	2025-08-07 14:39:36 -07:00
Parth Sareen	34e98bd237	types: relax type for tools (#550 )	2025-08-05 15:59:56 -07:00
Parth Sareen	dad9e1ca3a	examples: add gpt-oss tools (#549 )	2025-08-05 15:58:55 -07:00
Parth Sareen	fe91357d4b	examples: update to use gemma3 (#543 )	2025-07-22 16:27:16 -07:00
Ian	d7978cb234	pyproject.toml: add license metadata to package (#526 )	2025-07-22 11:44:11 -07:00
Parth Sareen	b23d79d8b5	types: add context_length to ProcessResponse (#538 )	2025-07-09 15:40:00 -07:00
Parth Sareen	33488eee06	types/examples: add tool_name to message and examples (#537 )	2025-07-09 14:23:33 -07:00
Devon Rifkin	63ca747622	Merge pull request #525 from hwittenborn/main Remove unused `messages` variable from `thinking-generate` example	2025-05-30 16:14:02 -07:00
Hunter Wittenborn	4c11d507b0	Remove unused `messages` variable from `thinking-generate` example	2025-05-30 16:58:16 -05:00
Devon Rifkin	ce6846e4fc	Merge pull request #524 from ollama/drifkin/thinking-support fully add thinking support to `generate()`	2025-05-30 14:32:05 -07:00
Devon Rifkin	e0253ab627	fully add thinking support to `generate()` https://github.com/ollama/ollama-python/pull/521 missed some calls	2025-05-30 13:41:23 -07:00
Devon Rifkin	756bd8f31a	Merge pull request #521 from ollama/drifkin/thinking-support add support for thinking	2025-05-29 16:02:56 -07:00
Devon Rifkin	f8c6cd5131	add thinking example to example index	2025-05-27 11:36:45 -07:00
Devon Rifkin	eaad6df5ef	add support for thinking To support https://github.com/ollama/ollama/pull/10584	2025-05-27 00:35:28 -07:00
JRinaldi	5d7c63fae1	types: add capabilities to show response. (#511 )	2025-05-14 19:27:48 -07:00
Michael Yang	5ae5f816bb	Merge pull request #445 from ollama/mxyng/hatch use hatch instead of poetry	2025-05-06 11:03:28 -07:00
Parth Sareen	65f94b4fba	types: allow items and defs for tools (#501 )	2025-04-16 13:33:51 -07:00
Parth Sareen	e33ceb7188	poetry: update dependencies (#505 )	2025-04-16 13:33:40 -07:00
Parth Sareen	8ac9f4da76	types: allow single or multiple types tool property (#499 )	2025-04-08 15:05:54 -07:00
Parth Sareen	1b3406887d	types: relax enum type for tool (#498 )	2025-04-08 15:05:46 -07:00
Paul.DX	3eaa83781d	docs: Update example links (#461 ) Modify the names and links of the Multimodal with Images	2025-03-31 16:58:04 -07:00
rylativity	07eec6d517	types: enable passing messages with arbitrary role (#462 ) --------- Co-authored-by: Ryan Stewart <ryanstewart@Ryans-MacBook-Pro.local> Co-authored-by: Gabe Goodhart <gabe.l.hart@gmail.com>	2025-03-20 13:46:40 -07:00
Parth Sareen	6b235b2d60	add SECURITY.md (#479 )	2025-03-20 13:25:36 -07:00
ddbit	aec125c773	examples: update tools.py to handle type casting from tool arguments (#443 ) --------- Co-authored-by: Parth Sareen <parth.sareen@ollama.com>	2025-02-14 09:50:47 -08:00
Parth Sareen	8d0d0e483d	client: add support for passing in Image type to generate (#408 )	2025-02-14 09:44:43 -08:00