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>
2026-06-16 21:24:52 +00:00 · 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
23 changed files with 1674 additions and 1403 deletions
@@ -13,7 +13,7 @@ jobs:
      id-token: write
      contents: write
    steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
      - uses: actions/setup-python@v6
      - uses: astral-sh/setup-uv@v5
        with:
@@ -10,7 +10,7 @@ jobs:
  test:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
      - uses: astral-sh/setup-uv@v5
        with:
          enable-cache: true
@@ -19,7 +19,7 @@ jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
      - uses: actions/setup-python@v6
      - uses: astral-sh/setup-uv@v5
        with:
@@ -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`.

@@ -174,7 +250,6 @@ ollama.embed(model='gemma3', input=['The sky is blue because of rayleigh scatter
 ollama.ps()
 ```

-
 ## Errors

 Errors are raised if requests return an error status or if an error is detected while streaming.
@@ -1,80 +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) 
- [gpt-oss-tools-browser.py](gpt-oss-tools-browser.py) - Using browser research tools with gpt-oss
- [gpt-oss-tools-browser-stream.py](gpt-oss-tools-browser-stream.py) - Using browser research tools with gpt-oss, with streaming 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)

+### 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)
@@ -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')
@@ -15,7 +15,8 @@ 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.""",
  },
 ]

@@ -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')
@@ -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')
@@ -1,198 +0,0 @@
-# /// script
-# requires-python = ">=3.11"
-# dependencies = [
-#     "gpt-oss",
-#     "ollama",
-#     "rich",
-# ]
-# ///
-
-import asyncio
-import json
-from typing import Iterator, Optional
-
-from gpt_oss.tools.simple_browser import ExaBackend, SimpleBrowserTool
-from openai_harmony import Author, Role, TextContent
-from openai_harmony import Message as HarmonyMessage
-from rich import print
-
-from ollama import Client
-from ollama._types import ChatResponse
-
-_backend = ExaBackend(source='web')
-_browser_tool = SimpleBrowserTool(backend=_backend)
-
-
-def heading(text):
-  print(text)
-  print('=' * (len(text) + 3))
-
-
-async def _browser_search_async(query: str, topn: int = 10, source: str | None = None) -> str:
-  # map Ollama message to Harmony format
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps({'query': query, 'topn': topn}))],
-    recipient='browser.search',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'No results for query: {query}'
-
-
-async def _browser_open_async(id: int | str = -1, cursor: int = -1, loc: int = -1, num_lines: int = -1, *, view_source: bool = False, source: str | None = None) -> str:
-  payload = {'id': id, 'cursor': cursor, 'loc': loc, 'num_lines': num_lines, 'view_source': view_source, 'source': source}
-
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps(payload))],
-    recipient='browser.open',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'Could not open: {id}'
-
-
-async def _browser_find_async(pattern: str, cursor: int = -1) -> str:
-  payload = {'pattern': pattern, 'cursor': cursor}
-
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps(payload))],
-    recipient='browser.find',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'Pattern not found: {pattern}'
-
-
-def browser_search(query: str, topn: int = 10, source: Optional[str] = None) -> str:
-  return asyncio.run(_browser_search_async(query=query, topn=topn, source=source))
-
-
-def browser_open(id: int | str = -1, cursor: int = -1, loc: int = -1, num_lines: int = -1, *, view_source: bool = False, source: Optional[str] = None) -> str:
-  return asyncio.run(_browser_open_async(id=id, cursor=cursor, loc=loc, num_lines=num_lines, view_source=view_source, source=source))
-
-
-def browser_find(pattern: str, cursor: int = -1) -> str:
-  return asyncio.run(_browser_find_async(pattern=pattern, cursor=cursor))
-
-
-# Schema definitions for each browser tool
-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,
-}
-
-
-model = 'gpt-oss:20b'
-print('Model: ', model, '\n')
-
-prompt = 'What is Ollama?'
-print('You: ', prompt, '\n')
-messages = [{'role': 'user', 'content': prompt}]
-
-client = Client()
-
-# 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=[browser_search_schema, browser_open_schema, browser_find_schema],
-    options={'num_ctx': 8192},  # 8192 is the recommended lower limit for the context window
-    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:
-        heading('\n\nFinal result: ')
-        final = False
-      print(chunk.message.content, end='', flush=True)
-
-    if chunk.message.thinking:
-      thinking += chunk.message.thinking
-      print(chunk.message.thinking, end='', flush=True)
-
-  if thinking != '':
-    messages.append({'role': 'assistant', 'content': thinking, 'tool_calls': tool_calls})
-
-  print()
-
-  if tool_calls:
-    for tool_call in tool_calls:
-      tool_name = tool_call.function.name
-      args = tool_call.function.arguments or {}
-      function_to_call = available_tools.get(tool_name)
-
-      if function_to_call:
-        heading(f'\nCalling tool: {tool_name}')
-        if args:
-          print(f'Arguments: {args}')
-
-        try:
-          result = function_to_call(**args)
-          print(f'Tool result: {result[:200]}')
-          if len(result) > 200:
-            heading('... [truncated]')
-          print()
-
-          result_message = {'role': 'tool', 'content': result, 'tool_name': tool_name}
-          messages.append(result_message)
-
-        except Exception as e:
-          err = f'Error from {tool_name}: {e}'
-          print(err)
-          messages.append({'role': 'tool', 'content': err, 'tool_name': tool_name})
-      else:
-        print(f'Tool {tool_name} not found')
-  else:
-    # no more tool calls, we can stop the loop
-    break
@@ -1,175 +0,0 @@
-# /// script
-# requires-python = ">=3.11"
-# dependencies = [
-#     "gpt-oss",
-#     "ollama",
-#     "rich",
-# ]
-# ///
-
-import asyncio
-import json
-from typing import Optional
-
-from gpt_oss.tools.simple_browser import ExaBackend, SimpleBrowserTool
-from openai_harmony import Author, Role, TextContent
-from openai_harmony import Message as HarmonyMessage
-
-from ollama import Client
-
-_backend = ExaBackend(source='web')
-_browser_tool = SimpleBrowserTool(backend=_backend)
-
-
-def heading(text):
-  print(text)
-  print('=' * (len(text) + 3))
-
-
-async def _browser_search_async(query: str, topn: int = 10, source: str | None = None) -> str:
-  # map Ollama message to Harmony format
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps({'query': query, 'topn': topn}))],
-    recipient='browser.search',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'No results for query: {query}'
-
-
-async def _browser_open_async(id: int | str = -1, cursor: int = -1, loc: int = -1, num_lines: int = -1, *, view_source: bool = False, source: str | None = None) -> str:
-  payload = {'id': id, 'cursor': cursor, 'loc': loc, 'num_lines': num_lines, 'view_source': view_source, 'source': source}
-
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps(payload))],
-    recipient='browser.open',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'Could not open: {id}'
-
-
-async def _browser_find_async(pattern: str, cursor: int = -1) -> str:
-  payload = {'pattern': pattern, 'cursor': cursor}
-
-  harmony_message = HarmonyMessage(
-    author=Author(role=Role.USER),
-    content=[TextContent(text=json.dumps(payload))],
-    recipient='browser.find',
-  )
-
-  result_text: str = ''
-  async for response in _browser_tool._process(harmony_message):
-    if response.content:
-      for content in response.content:
-        if isinstance(content, TextContent):
-          result_text += content.text
-  return result_text or f'Pattern not found: {pattern}'
-
-
-def browser_search(query: str, topn: int = 10, source: Optional[str] = None) -> str:
-  return asyncio.run(_browser_search_async(query=query, topn=topn, source=source))
-
-
-def browser_open(id: int | str = -1, cursor: int = -1, loc: int = -1, num_lines: int = -1, *, view_source: bool = False, source: Optional[str] = None) -> str:
-  return asyncio.run(_browser_open_async(id=id, cursor=cursor, loc=loc, num_lines=num_lines, view_source=view_source, source=source))
-
-
-def browser_find(pattern: str, cursor: int = -1) -> str:
-  return asyncio.run(_browser_find_async(pattern=pattern, cursor=cursor))
-
-
-# Schema definitions for each browser tool
-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,
-}
-
-
-model = 'gpt-oss:20b'
-print('Model: ', model, '\n')
-
-prompt = 'What is Ollama?'
-print('You: ', prompt, '\n')
-messages = [{'role': 'user', 'content': prompt}]
-
-client = Client()
-while True:
-  response = client.chat(
-    model=model,
-    messages=messages,
-    tools=[browser_search_schema, browser_open_schema, browser_find_schema],
-    options={'num_ctx': 8192},  # 8192 is the recommended lower limit for the context window
-  )
-
-  if hasattr(response.message, 'thinking') and response.message.thinking:
-    heading('Thinking')
-    print(response.message.thinking.strip() + '\n')
-
-  if hasattr(response.message, 'content') and response.message.content:
-    heading('Assistant')
-    print(response.message.content.strip() + '\n')
-
-  # add message to chat history
-  messages.append(response.message)
-
-  if response.message.tool_calls:
-    for tool_call in response.message.tool_calls:
-      tool_name = tool_call.function.name
-      args = tool_call.function.arguments or {}
-      function_to_call = available_tools.get(tool_name)
-      if not function_to_call:
-        print(f'Unknown tool: {tool_name}')
-        continue
-
-      try:
-        result = function_to_call(**args)
-        heading(f'Tool: {tool_name}')
-        if args:
-          print(f'Arguments: {args}')
-        print(result[:200])
-        if len(result) > 200:
-          print('... [truncated]')
-        print()
-        messages.append({'role': 'tool', 'content': result, 'tool_name': tool_name})
-      except Exception as e:
-        err = f'Error from {tool_name}: {e}'
-        print(err)
-        messages.append({'role': 'tool', 'content': err, 'tool_name': tool_name})
-  else:
-    # break on no more tool calls
-    break
@@ -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()
@@ -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())
@@ -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
@@ -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)}
@@ -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
@@ -1,100 +0,0 @@
-import base64
-import os
-import time
-from pathlib import Path
-from typing import Optional
-
-from cryptography.hazmat.primitives import serialization
-
-
-class OllamaAuth:
-  def __init__(self, key_path: Optional[str] = None):
-    """Initialize the OllamaAuth class.
-
-    Args:
-        key_path: Optional path to the private key file. If not provided,
-                 defaults to ~/.ollama/id_ed25519
-    """
-    if key_path is None:
-      home = str(Path.home())
-      self.key_path = os.path.join(home, '.ollama', 'id_ed25519')
-    else:
-      # Expand ~ and environment variables in the path
-      self.key_path = os.path.expanduser(os.path.expandvars(key_path))
-
-  def load_private_key(self):
-    """Read and load the private key.
-
-    Returns:
-        The loaded Ed25519 private key.
-
-    Raises:
-        FileNotFoundError: If the key file doesn't exist
-        ValueError: If the key file is invalid
-    """
-    try:
-      with open(self.key_path, 'rb') as f:
-        private_key_data = f.read()
-
-      private_key = serialization.load_ssh_private_key(
-        private_key_data,
-        password=None,
-      )
-      return private_key
-    except FileNotFoundError:
-      raise FileNotFoundError(f"Could not find Ollama private key at {self.key_path}. Please generate one using: ssh-keygen -t ed25519 -f ~/.ollama/id_ed25519 -N ''") from None
-    except Exception as e:
-      raise ValueError(f'Invalid private key at {self.key_path}: {e!s}') from e
-
-  def get_public_key_b64(self, private_key):
-    """Get the base64 encoded public key.
-
-    Args:
-        private_key: The Ed25519 private key
-
-    Returns:
-        Base64 encoded public key string
-    """
-    # Get the public key in OpenSSH format and extract the second field (base64-encoded key)
-    public_key = private_key.public_key()
-    openssh_pub = (
-      public_key.public_bytes(
-        encoding=serialization.Encoding.OpenSSH,
-        format=serialization.PublicFormat.OpenSSH,
-      )
-      .decode('utf-8')
-      .strip()
-    )
-    parts = openssh_pub.split(' ')
-    if len(parts) < 2:
-      raise ValueError('Malformed OpenSSH public key')
-    public_key_b64 = parts[1]
-    return public_key_b64
-
-  def sign_request(self, method: str, path: str):
-    """Sign an HTTP request.
-
-    Args:
-        method: The HTTP method (e.g. 'GET', 'POST')
-        path: The request path (e.g. '/api/chat')
-
-    Returns:
-        A tuple of (auth_token, timestamp) where auth_token is the
-        authorization header value and timestamp is the request timestamp.
-
-    Raises:
-        FileNotFoundError: If the key file doesn't exist
-        ValueError: If the key file is invalid
-    """
-    timestamp = str(int(time.time()))
-    path_with_ts = f'{path}&ts={timestamp}' if '?' in path else f'{path}?ts={timestamp}'
-    challenge = f'{method},{path_with_ts}'
-
-    private_key = self.load_private_key()
-    signature = private_key.sign(challenge.encode())
-
-    public_key_b64 = self.get_public_key_b64(private_key)
-
-    auth_token = f'{public_key_b64}:{base64.b64encode(signature).decode("utf-8")}'
-
-    return auth_token, timestamp
@@ -1,3 +1,4 @@
+import contextlib
 import ipaddress
 import json
 import os
@@ -25,7 +26,6 @@ from typing import (
 import anyio
 from pydantic.json_schema import JsonSchemaValue

-from ollama._auth import OllamaAuth
 from ollama._utils import convert_function_to_tool

 if sys.version_info < (3, 9):
@@ -67,12 +67,16 @@ 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,
@@ -81,7 +85,6 @@ class BaseClient:
    follow_redirects: bool = True,
    timeout: Any = None,
    headers: Optional[Mapping[str, str]] = None,
-    auth_key_path: Optional[str] = None,
    **kwargs,
  ) -> None:
    """
@@ -89,44 +92,36 @@ class BaseClient:
    except for the following:
    - `follow_redirects`: True
    - `timeout`: None
-    - `auth_key_path`: Optional path to the ed25519 private key for authentication
    `kwargs` are passed to the httpx client.
    """
-    self._auth = OllamaAuth(auth_key_path)
+
+    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 _prepare_request(self, method: str, path: str, **kwargs) -> Dict[str, Any]:
-    if self._auth:
-      url = str(self._client.build_request(method, path).url)
-      parsed = urllib.parse.urlparse(url)
-      full_path = parsed.path
-      if parsed.query:
-        full_path = f'{full_path}?{parsed.query}'
+  def __exit__(self, exc_type, exc_val, exc_tb):
+    self.close()

-      auth_token, timestamp = self._auth.sign_request(method, full_path)
-
-      if 'headers' not in kwargs:
-        kwargs['headers'] = {}
-      kwargs['headers']['Authorization'] = auth_token
-
-      path = f'{path}&ts={timestamp}' if '?' in path else f'{path}?ts={timestamp}'
-
-    return {'method': method, 'url': path, **kwargs}
+  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'
@@ -136,6 +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)
@@ -176,18 +174,14 @@ class Client(BaseClient):
  def _request(
    self,
    cls: Type[T],
-    method: str,
-    path: str,
-    *,
+    *args,
    stream: bool = False,
    **kwargs,
  ) -> Union[T, Iterator[T]]:
-    request_params = self._prepare_request(method, path, **kwargs)
-
    if stream:

      def inner():
-        with self._client.stream(**request_params) as r:
+        with self._client.stream(*args, **kwargs) as r:
          try:
            r.raise_for_status()
          except httpx.HTTPStatusError as e:
@@ -202,7 +196,7 @@ class Client(BaseClient):

      return inner()

-    return cls(**self._request_raw(**request_params).json())
+    return cls(**self._request_raw(*args, **kwargs).json())

  @overload
  def generate(
@@ -216,11 +210,16 @@ class Client(BaseClient):
    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, 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
@@ -235,11 +234,16 @@ class Client(BaseClient):
    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, 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(
@@ -253,11 +257,16 @@ class Client(BaseClient):
    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, 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.
@@ -282,11 +291,16 @@ class Client(BaseClient):
        context=context,
        stream=stream,
        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        raw=raw,
        format=format,
        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,
    )
@@ -300,6 +314,8 @@ 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,
@@ -314,6 +330,8 @@ 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,
@@ -327,6 +345,8 @@ 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,
@@ -374,6 +394,8 @@ class Client(BaseClient):
        tools=list(_copy_tools(tools)),
        stream=stream,
        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        format=format,
        options=options,
        keep_alive=keep_alive,
@@ -649,11 +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)
@@ -694,19 +767,14 @@ class AsyncClient(BaseClient):
  async def _request(
    self,
    cls: Type[T],
-    method: str,
-    path: str,
-    *,
+    *args,
    stream: bool = False,
    **kwargs,
  ) -> Union[T, AsyncIterator[T]]:
-    """Make a request with optional authentication."""
-    request_params = self._prepare_request(method, path, **kwargs)
-
    if stream:

      async def inner():
-        async with self._client.stream(**request_params) as r:
+        async with self._client.stream(*args, **kwargs) as r:
          try:
            r.raise_for_status()
          except httpx.HTTPStatusError as e:
@@ -721,7 +789,47 @@ class AsyncClient(BaseClient):

      return inner()

-    return cls(**(await self._request_raw(**request_params)).json())
+    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(
@@ -735,11 +843,16 @@ class AsyncClient(BaseClient):
    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, 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
@@ -754,11 +867,16 @@ class AsyncClient(BaseClient):
    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, 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(
@@ -772,11 +890,16 @@ class AsyncClient(BaseClient):
    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, 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.
@@ -800,11 +923,16 @@ class AsyncClient(BaseClient):
        context=context,
        stream=stream,
        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        raw=raw,
        format=format,
        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,
    )
@@ -818,6 +946,8 @@ 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,
@@ -832,6 +962,8 @@ 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,
@@ -845,6 +977,8 @@ 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,
@@ -893,6 +1027,8 @@ class AsyncClient(BaseClient):
        tools=list(_copy_tools(tools)),
        stream=stream,
        think=think,
+        logprobs=logprobs,
+        top_logprobs=top_logprobs,
        format=format,
        options=options,
        keep_alive=keep_alive,
@@ -210,6 +210,22 @@ class GenerateRequest(BaseGenerateRequest):
  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
@@ -243,12 +259,25 @@ 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
@@ -257,6 +286,20 @@ class GenerateResponse(BaseGenerateResponse):
  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):
  """
@@ -360,6 +403,12 @@ class ChatRequest(BaseGenerateRequest):
  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):
  """
@@ -369,6 +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]]
@@ -541,6 +593,31 @@ class ProcessResponse(SubscriptableBaseModel):
  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.
@@ -9,7 +9,6 @@ requires-python = '>=3.8'
 dependencies = [
    'httpx>=0.27',
    'pydantic>=2.9',
-    'cryptography>=46.0.1',
 ]
 dynamic = [ 'version' ]
 license = "MIT"
@@ -38,7 +37,7 @@ dependencies = [ 'ruff>=0.9.1' ]
 config-path = 'none'

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

 [tool.ruff.format]
@@ -4,241 +4,47 @@
 annotated-types==0.7.0 \
    --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \
    --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89
-anyio==4.5.2 \
+    # via pydantic
+anyio==4.5.2 ; python_full_version < '3.9' \
    --hash=sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b \
    --hash=sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f
-certifi==2025.8.3 \
-    --hash=sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407 \
-    --hash=sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5
-cffi==1.17.1 ; python_full_version < '3.9' and platform_python_implementation != 'PyPy' \
-    --hash=sha256:045d61c734659cc045141be4bae381a41d89b741f795af1dd018bfb532fd0df8 \
-    --hash=sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2 \
-    --hash=sha256:0e2b1fac190ae3ebfe37b979cc1ce69c81f4e4fe5746bb401dca63a9062cdaf1 \
-    --hash=sha256:0f048dcf80db46f0098ccac01132761580d28e28bc0f78ae0d58048063317e15 \
-    --hash=sha256:1257bdabf294dceb59f5e70c64a3e2f462c30c7ad68092d01bbbfb1c16b1ba36 \
-    --hash=sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824 \
-    --hash=sha256:1d599671f396c4723d016dbddb72fe8e0397082b0a77a4fab8028923bec050e8 \
-    --hash=sha256:28b16024becceed8c6dfbc75629e27788d8a3f9030691a1dbf9821a128b22c36 \
-    --hash=sha256:2bb1a08b8008b281856e5971307cc386a8e9c5b625ac297e853d36da6efe9c17 \
-    --hash=sha256:30c5e0cb5ae493c04c8b42916e52ca38079f1b235c2f8ae5f4527b963c401caf \
-    --hash=sha256:31000ec67d4221a71bd3f67df918b1f88f676f1c3b535a7eb473255fdc0b83fc \
-    --hash=sha256:386c8bf53c502fff58903061338ce4f4950cbdcb23e2902d86c0f722b786bbe3 \
-    --hash=sha256:3edc8d958eb099c634dace3c7e16560ae474aa3803a5df240542b305d14e14ed \
-    --hash=sha256:45398b671ac6d70e67da8e4224a065cec6a93541bb7aebe1b198a61b58c7b702 \
-    --hash=sha256:46bf43160c1a35f7ec506d254e5c890f3c03648a4dbac12d624e4490a7046cd1 \
-    --hash=sha256:4ceb10419a9adf4460ea14cfd6bc43d08701f0835e979bf821052f1805850fe8 \
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-    --hash=sha256:5da5719280082ac6bd9aa7becb3938dc9f9cbd57fac7d2871717b1feb0902ab6 \
-    --hash=sha256:610faea79c43e44c71e1ec53a554553fa22321b65fae24889706c0a84d4ad86d \
-    --hash=sha256:636062ea65bd0195bc012fea9321aca499c0504409f413dc88af450b57ffd03b \
-    --hash=sha256:6883e737d7d9e4899a8a695e00ec36bd4e5e4f18fabe0aca0efe0a4b44cdb13e \
-    --hash=sha256:6b8b4a92e1c65048ff98cfe1f735ef8f1ceb72e3d5f0c25fdb12087a23da22be \
-    --hash=sha256:6f17be4345073b0a7b8ea599688f692ac3ef23ce28e5df79c04de519dbc4912c \
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-    --hash=sha256:733e99bc2df47476e3848417c5a4540522f234dfd4ef3ab7fafdf555b082ec0c \
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-    --hash=sha256:dd398dbc6773384a17fe0d3e7eeb8d1a21c2200473ee6806bb5e6a8e62bb73dd \
-    --hash=sha256:de2ea4b5833625383e464549fec1bc395c1bdeeb5f25c4a3a82b5a8c756ec22f \
-    --hash=sha256:de55b766c7aa2e2a3092c51e0483d700341182f08e67c63630d5b6f200bb28e5 \
-    --hash=sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14 \
-    --hash=sha256:e03eab0a8677fa80d646b5ddece1cbeaf556c313dcfac435ba11f107ba117b5d \
-    --hash=sha256:e221cf152cff04059d011ee126477f0d9588303eb57e88923578ace7baad17f9 \
-    --hash=sha256:e31ae45bc2e29f6b2abd0de1cc3b9d5205aa847cafaecb8af1476a609a2f6eb7 \
-    --hash=sha256:edae79245293e15384b51f88b00613ba9f7198016a5948b5dddf4917d4d26382 \
-    --hash=sha256:f1e22e8c4419538cb197e4dd60acc919d7696e5ef98ee4da4e01d3f8cfa4cc5a \
-    --hash=sha256:f3a2b4222ce6b60e2e8b337bb9596923045681d71e5a082783484d845390938e \
-    --hash=sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a \
-    --hash=sha256:f75c7ab1f9e4aca5414ed4d8e5c0e303a34f4421f8a0d47a4d019ceff0ab6af4 \
-    --hash=sha256:f79fc4fc25f1c8698ff97788206bb3c2598949bfe0fef03d299eb1b5356ada99 \
-    --hash=sha256:f7f5baafcc48261359e14bcd6d9bff6d4b28d9103847c9e136694cb0501aef87 \
-    --hash=sha256:fc48c783f9c87e60831201f2cce7f3b2e4846bf4d8728eabe54d60700b318a0b
-cffi==2.0.0 ; python_full_version >= '3.9' and platform_python_implementation != 'PyPy' \
-    --hash=sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb \
-    --hash=sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b \
-    --hash=sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f \
-    --hash=sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9 \
-    --hash=sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44 \
-    --hash=sha256:0f6084a0ea23d05d20c3edcda20c3d006f9b6f3fefeac38f59262e10cef47ee2 \
-    --hash=sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c \
-    --hash=sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75 \
-    --hash=sha256:1cd13c99ce269b3ed80b417dcd591415d3372bcac067009b6e0f59c7d4015e65 \
-    --hash=sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e \
-    --hash=sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a \
-    --hash=sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e \
-    --hash=sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25 \
-    --hash=sha256:2081580ebb843f759b9f617314a24ed5738c51d2aee65d31e02f6f7a2b97707a \
-    --hash=sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe \
-    --hash=sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b \
-    --hash=sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91 \
-    --hash=sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592 \
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-    --hash=sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c \
-    --hash=sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037 \
-    --hash=sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26 \
-    --hash=sha256:89472c9762729b5ae1ad974b777416bfda4ac5642423fa93bd57a09204712322 \
-    --hash=sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb \
-    --hash=sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c \
-    --hash=sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8 \
-    --hash=sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4 \
-    --hash=sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414 \
-    --hash=sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9 \
-    --hash=sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664 \
-    --hash=sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9 \
-    --hash=sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775 \
-    --hash=sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739 \
-    --hash=sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc \
-    --hash=sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062 \
-    --hash=sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe \
-    --hash=sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9 \
-    --hash=sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92 \
-    --hash=sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5 \
-    --hash=sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13 \
-    --hash=sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d \
-    --hash=sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26 \
-    --hash=sha256:cb527a79772e5ef98fb1d700678fe031e353e765d1ca2d409c92263c6d43e09f \
-    --hash=sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495 \
-    --hash=sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b \
-    --hash=sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6 \
-    --hash=sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c \
-    --hash=sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef \
-    --hash=sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5 \
-    --hash=sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18 \
-    --hash=sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad \
-    --hash=sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3 \
-    --hash=sha256:de8dad4425a6ca6e4e5e297b27b5c824ecc7581910bf9aee86cb6835e6812aa7 \
-    --hash=sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5 \
-    --hash=sha256:e6e73b9e02893c764e7e8d5bb5ce277f1a009cd5243f8228f75f842bf937c534 \
-    --hash=sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49 \
-    --hash=sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2 \
-    --hash=sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5 \
-    --hash=sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453 \
-    --hash=sha256:fe562eb1a64e67dd297ccc4f5addea2501664954f2692b69a76449ec7913ecbf
-cryptography==46.0.1 \
-    --hash=sha256:0a17377fa52563d730248ba1f68185461fff36e8bc75d8787a7dd2e20a802b7a \
-    --hash=sha256:0ca4be2af48c24df689a150d9cd37404f689e2968e247b6b8ff09bff5bcd786f \
-    --hash=sha256:0d1922d9280e08cde90b518a10cd66831f632960a8d08cb3418922d83fce6f12 \
-    --hash=sha256:0dfb7c88d4462a0cfdd0d87a3c245a7bc3feb59de101f6ff88194f740f72eda6 \
-    --hash=sha256:0ff483716be32690c14636e54a1f6e2e1b7bf8e22ca50b989f88fa1b2d287080 \
-    --hash=sha256:13e67c4d3fb8b6bc4ef778a7ccdd8df4cd15b4bcc18f4239c8440891a11245cc \
-    --hash=sha256:15b5fd9358803b0d1cc42505a18d8bca81dabb35b5cfbfea1505092e13a9d96d \
-    --hash=sha256:1cd6d50c1a8b79af1a6f703709d8973845f677c8e97b1268f5ff323d38ce8475 \
-    --hash=sha256:2dd339ba3345b908fa3141ddba4025568fa6fd398eabce3ef72a29ac2d73ad75 \
-    --hash=sha256:341fb7a26bc9d6093c1b124b9f13acc283d2d51da440b98b55ab3f79f2522ead \
-    --hash=sha256:34f04b7311174469ab3ac2647469743720f8b6c8b046f238e5cb27905695eb2a \
-    --hash=sha256:41c281a74df173876da1dc9a9b6953d387f06e3d3ed9284e3baae3ab3f40883a \
-    --hash=sha256:449ef2b321bec7d97ef2c944173275ebdab78f3abdd005400cc409e27cd159ab \
-    --hash=sha256:45f790934ac1018adeba46a0f7289b2b8fe76ba774a88c7f1922213a56c98bc1 \
-    --hash=sha256:48948940d0ae00483e85e9154bb42997d0b77c21e43a77b7773c8c80de532ac5 \
-    --hash=sha256:4c49eda9a23019e11d32a0eb51a27b3e7ddedde91e099c0ac6373e3aacc0d2ee \
-    --hash=sha256:504e464944f2c003a0785b81668fe23c06f3b037e9cb9f68a7c672246319f277 \
-    --hash=sha256:534b96c0831855e29fc3b069b085fd185aa5353033631a585d5cd4dd5d40d657 \
-    --hash=sha256:6ef1488967e729948d424d09c94753d0167ce59afba8d0f6c07a22b629c557b2 \
-    --hash=sha256:7176a5ab56fac98d706921f6416a05e5aff7df0e4b91516f450f8627cda22af3 \
-    --hash=sha256:7411c910fb2a412053cf33cfad0153ee20d27e256c6c3f14d7d7d1d9fec59fd5 \
-    --hash=sha256:757af4f6341ce7a1e47c326ca2a81f41d236070217e5fbbad61bbfe299d55d28 \
-    --hash=sha256:7823bc7cdf0b747ecfb096d004cc41573c2f5c7e3a29861603a2871b43d3ef32 \
-    --hash=sha256:7fab1187b6c6b2f11a326f33b036f7168f5b996aedd0c059f9738915e4e8f53a \
-    --hash=sha256:84ef1f145de5aee82ea2447224dc23f065ff4cc5791bb3b506615957a6ba8128 \
-    --hash=sha256:92e8cfe8bd7dd86eac0a677499894862cd5cc2fd74de917daa881d00871ac8e7 \
-    --hash=sha256:9394c7d5a7565ac5f7d9ba38b2617448eba384d7b107b262d63890079fad77ca \
-    --hash=sha256:9495d78f52c804b5ec8878b5b8c7873aa8e63db9cd9ee387ff2db3fffe4df784 \
-    --hash=sha256:9873bf7c1f2a6330bdfe8621e7ce64b725784f9f0c3a6a55c3047af5849f920e \
-    --hash=sha256:9babb7818fdd71394e576cf26c5452df77a355eac1a27ddfa24096665a27f8fd \
-    --hash=sha256:9e8776dac9e660c22241b6587fae51a67b4b0147daa4d176b172c3ff768ad736 \
-    --hash=sha256:9ed64e5083fa806709e74fc5ea067dfef9090e5b7a2320a49be3c9df3583a2d8 \
-    --hash=sha256:9f2c4cc63be3ef43c0221861177cee5d14b505cd4d4599a89e2cd273c4d3542a \
-    --hash=sha256:9f40642a140c0c8649987027867242b801486865277cbabc8c6059ddef16dc8b \
-    --hash=sha256:af84e8e99f1a82cea149e253014ea9dc89f75b82c87bb6c7242203186f465129 \
-    --hash=sha256:b9c79af2c3058430d911ff1a5b2b96bbfe8da47d5ed961639ce4681886614e70 \
-    --hash=sha256:c52fded6383f7e20eaf70a60aeddd796b3677c3ad2922c801be330db62778e05 \
-    --hash=sha256:cbb8e769d4cac884bb28e3ff620ef1001b75588a5c83c9c9f1fdc9afbe7f29b0 \
-    --hash=sha256:d84c40bdb8674c29fa192373498b6cb1e84f882889d21a471b45d1f868d8d44b \
-    --hash=sha256:db5597a4c7353b2e5fb05a8e6cb74b56a4658a2b7bf3cb6b1821ae7e7fd6eaa0 \
-    --hash=sha256:e22801b61613ebdebf7deb18b507919e107547a1d39a3b57f5f855032dd7cfb8 \
-    --hash=sha256:e34da95e29daf8a71cb2841fd55df0511539a6cdf33e6f77c1e95e44006b9b46 \
-    --hash=sha256:e46710a240a41d594953012213ea8ca398cd2448fbc5d0f1be8160b5511104a0 \
-    --hash=sha256:e94eb5fa32a8a9f9bf991f424f002913e3dd7c699ef552db9b14ba6a76a6313b \
-    --hash=sha256:ec13b7105117dbc9afd023300fb9954d72ca855c274fe563e72428ece10191c0 \
-    --hash=sha256:ed570874e88f213437f5cf758f9ef26cbfc3f336d889b1e592ee11283bb8d1c7 \
-    --hash=sha256:ed957044e368ed295257ae3d212b95456bd9756df490e1ac4538857f67531fcc \
-    --hash=sha256:ef648d2c690703501714588b2ba640facd50fd16548133b11b2859e8655a69da \
-    --hash=sha256:efc9e51c3e595267ff84adf56e9b357db89ab2279d7e375ffcaf8f678606f3d9 \
-    --hash=sha256:f736ab8036796f5a119ff8211deda416f8c15ce03776db704a7a4e17381cb2ef \
-    --hash=sha256:f7a24ea78de345cfa7f6a8d3bde8b242c7fac27f2bd78fa23474ca38dfaeeab9 \
-    --hash=sha256:f7de12fa0eee6234de9a9ce0ffcfa6ce97361db7a50b09b65c63ac58e5f22fc7 \
-    --hash=sha256:f9b55038b5c6c47559aa33626d8ecd092f354e23de3c6975e4bb205df128a2a0 \
-    --hash=sha256:fd4b5e2ee4e60425711ec65c33add4e7a626adef79d66f62ba0acfd493af282d
-exceptiongroup==1.3.0 ; python_full_version < '3.11' \
-    --hash=sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10 \
-    --hash=sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88
-h11==0.16.0 \
-    --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \
-    --hash=sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86
-httpcore==1.0.9 \
-    --hash=sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55 \
-    --hash=sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8
+    # 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
+    # via anyio
+h11==0.14.0 \
+    --hash=sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d \
+    --hash=sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761
+    # via httpcore
+httpcore==1.0.7 \
+    --hash=sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c \
+    --hash=sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd
+    # via httpx
 httpx==0.28.1 \
    --hash=sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc \
    --hash=sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad
+    # via ollama
 idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
-pycparser==2.23 ; (python_full_version < '3.9' and platform_python_implementation != 'PyPy') or (implementation_name != 'PyPy' and platform_python_implementation != 'PyPy') \
-    --hash=sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2 \
-    --hash=sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934
+    # 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 \
@@ -340,9 +146,16 @@ pydantic-core==2.27.2 \
    --hash=sha256:f6f8e111843bbb0dee4cb6594cdc73e79b3329b526037ec242a3e49012495b3b \
    --hash=sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9 \
    --hash=sha256:fd1aea04935a508f62e0d0ef1f5ae968774a32afc306fb8545e06f5ff5cdf3ad
+    # via pydantic
 sniffio==1.3.1 \
    --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \
    --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc
-typing-extensions==4.13.2 \
-    --hash=sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c \
-    --hash=sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef
+    # via anyio
+typing-extensions==4.12.2 \
+    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
+    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8
+    # via
+    #   annotated-types
+    #   anyio
+    #   pydantic
+    #   pydantic-core
@@ -1,353 +0,0 @@
-import base64
-import os
-import tempfile
-import time
-from pathlib import Path
-from unittest.mock import Mock, patch
-
-import pytest
-from cryptography.hazmat.primitives import serialization
-from cryptography.hazmat.primitives.asymmetric import ed25519
-
-from ollama._auth import OllamaAuth
-
-
-@pytest.fixture
-def temp_key_pair():
-    """Create a temporary Ed25519 key pair for testing."""
-    # Generate a test key pair
-    private_key = ed25519.Ed25519PrivateKey.generate()
-    
-    # Serialize the private key in OpenSSH format
-    private_key_bytes = private_key.private_bytes(
-        encoding=serialization.Encoding.PEM,
-        format=serialization.PrivateFormat.OpenSSH,
-        encryption_algorithm=serialization.NoEncryption()
-    )
-    
-    # Create temporary file
-    with tempfile.NamedTemporaryFile(mode='wb', delete=False, suffix='_ed25519') as f:
-        f.write(private_key_bytes)
-        temp_key_path = f.name
-    
-    yield temp_key_path, private_key
-    
-    # Cleanup
-    try:
-        os.unlink(temp_key_path)
-    except FileNotFoundError:
-        pass
-
-
-@pytest.fixture
-def invalid_key_file():
-    """Create a temporary file with invalid key content."""
-    with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='_invalid') as f:
-        f.write("This is not a valid private key")
-        temp_path = f.name
-    
-    yield temp_path
-    
-    # Cleanup
-    try:
-        os.unlink(temp_path)
-    except FileNotFoundError:
-        pass
-
-
-class TestOllamaAuth:
-    """Test suite for OllamaAuth class."""
-
-    def test_init_default_key_path(self):
-        """Test initialization with default key path."""
-        auth = OllamaAuth()
-        expected_path = os.path.join(str(Path.home()), '.ollama', 'id_ed25519')
-        assert auth.key_path == expected_path
-
-    def test_init_custom_key_path(self):
-        """Test initialization with custom key path."""
-        custom_path = "/custom/path/to/key"
-        auth = OllamaAuth(key_path=custom_path)
-        assert auth.key_path == custom_path
-
-    def test_init_expanduser_path(self):
-        """Test initialization with path containing ~ expansion."""
-        auth = OllamaAuth(key_path="~/custom/key")
-        expected_path = os.path.expanduser("~/custom/key")
-        assert auth.key_path == expected_path
-
-    def test_init_expandvars_path(self):
-        """Test initialization with path containing environment variables."""
-        with patch.dict(os.environ, {'TEST_DIR': '/test/dir'}):
-            auth = OllamaAuth(key_path="$TEST_DIR/key")
-            assert auth.key_path == "/test/dir/key"
-
-    def test_load_private_key_success(self, temp_key_pair):
-        """Test successful private key loading."""
-        temp_key_path, expected_private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        loaded_key = auth.load_private_key()
-        
-        # Verify the loaded key is an Ed25519 private key
-        assert isinstance(loaded_key, ed25519.Ed25519PrivateKey)
-        
-        # Verify the public keys match (indirect way to verify it's the same key)
-        expected_public = expected_private_key.public_key()
-        loaded_public = loaded_key.public_key()
-        
-        expected_bytes = expected_public.public_bytes(
-            encoding=serialization.Encoding.Raw,
-            format=serialization.PublicFormat.Raw
-        )
-        loaded_bytes = loaded_public.public_bytes(
-            encoding=serialization.Encoding.Raw,
-            format=serialization.PublicFormat.Raw
-        )
-        
-        assert expected_bytes == loaded_bytes
-
-    def test_load_private_key_file_not_found(self):
-        """Test FileNotFoundError when key file doesn't exist."""
-        auth = OllamaAuth(key_path="/nonexistent/path/key")
-        
-        with pytest.raises(FileNotFoundError, match="Could not find Ollama private key"):
-            auth.load_private_key()
-
-    def test_load_private_key_invalid_key(self, invalid_key_file):
-        """Test ValueError when key file contains invalid data."""
-        auth = OllamaAuth(key_path=invalid_key_file)
-        
-        with pytest.raises(ValueError, match="Invalid private key"):
-            auth.load_private_key()
-
-    def test_get_public_key_b64(self, temp_key_pair):
-        """Test base64 public key extraction."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        public_key_b64 = auth.get_public_key_b64(private_key)
-        
-        # Verify it's a valid base64 string
-        try:
-            decoded = base64.b64decode(public_key_b64)
-            assert len(decoded) > 0
-        except Exception:
-            pytest.fail("Returned value is not valid base64")
-        
-        # Verify the format by checking it matches the OpenSSH format
-        public_key = private_key.public_key()
-        openssh_pub = public_key.public_bytes(
-            encoding=serialization.Encoding.OpenSSH,
-            format=serialization.PublicFormat.OpenSSH,
-        ).decode('utf-8').strip()
-        
-        expected_b64 = openssh_pub.split(' ')[1]
-        assert public_key_b64 == expected_b64
-
-    def test_get_public_key_b64_malformed_key(self):
-        """Test ValueError when OpenSSH public key is malformed."""
-        auth = OllamaAuth()
-        
-        # Create a mock private key that produces malformed OpenSSH output
-        mock_private_key = Mock()
-        mock_public_key = Mock()
-        mock_private_key.public_key.return_value = mock_public_key
-        mock_public_key.public_bytes.return_value = b"malformed"
-        
-        with pytest.raises(ValueError, match="Malformed OpenSSH public key"):
-            auth.get_public_key_b64(mock_private_key)
-
-    def test_sign_request_basic(self, temp_key_pair):
-        """Test basic request signing functionality."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        method = "POST"
-        path = "/api/chat"
-        
-        with patch('time.time', return_value=1234567890):
-            auth_token, timestamp = auth.sign_request(method, path)
-        
-        assert timestamp == "1234567890"
-        assert isinstance(auth_token, str)
-        assert ':' in auth_token  # Should contain public_key:signature format
-        
-        # Split and verify format
-        parts = auth_token.split(':')
-        assert len(parts) == 2
-        
-        public_key_b64, signature_b64 = parts
-        
-        # Verify public key is valid base64
-        try:
-            base64.b64decode(public_key_b64)
-        except Exception:
-            pytest.fail("Public key part is not valid base64")
-        
-        # Verify signature is valid base64
-        try:
-            signature_bytes = base64.b64decode(signature_b64)
-            assert len(signature_bytes) > 0
-        except Exception:
-            pytest.fail("Signature part is not valid base64")
-
-    def test_sign_request_with_query_params(self, temp_key_pair):
-        """Test request signing with existing query parameters."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        method = "GET"
-        path = "/api/models?format=json"
-        
-        with patch('time.time', return_value=1234567890):
-            auth_token, timestamp = auth.sign_request(method, path)
-        
-        assert timestamp == "1234567890"
-        assert isinstance(auth_token, str)
-        
-        # The challenge should be "GET,/api/models?format=json&ts=1234567890"
-        # We can't easily verify the exact signature, but we can verify format
-        parts = auth_token.split(':')
-        assert len(parts) == 2
-
-    def test_sign_request_different_methods(self, temp_key_pair):
-        """Test request signing with different HTTP methods."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        methods = ["GET", "POST", "PUT", "DELETE"]
-        path = "/api/test"
-        
-        signatures = {}
-        
-        for method in methods:
-            with patch('time.time', return_value=1234567890):
-                auth_token, timestamp = auth.sign_request(method, path)
-            signatures[method] = auth_token
-        
-        # All signatures should be different (different challenges)
-        unique_signatures = set(signatures.values())
-        assert len(unique_signatures) == len(methods)
-
-    def test_sign_request_different_paths(self, temp_key_pair):
-        """Test request signing with different paths."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        method = "POST"
-        paths = ["/api/chat", "/api/generate", "/api/models"]
-        
-        signatures = {}
-        
-        for path in paths:
-            with patch('time.time', return_value=1234567890):
-                auth_token, timestamp = auth.sign_request(method, path)
-            signatures[path] = auth_token
-        
-        # All signatures should be different (different challenges)
-        unique_signatures = set(signatures.values())
-        assert len(unique_signatures) == len(paths)
-
-    def test_sign_request_file_not_found(self):
-        """Test request signing when key file doesn't exist."""
-        auth = OllamaAuth(key_path="/nonexistent/path/key")
-        
-        with pytest.raises(FileNotFoundError, match="Could not find Ollama private key"):
-            auth.sign_request("POST", "/api/chat")
-
-    def test_sign_request_invalid_key(self, invalid_key_file):
-        """Test request signing with invalid key file."""
-        auth = OllamaAuth(key_path=invalid_key_file)
-        
-        with pytest.raises(ValueError, match="Invalid private key"):
-            auth.sign_request("POST", "/api/chat")
-
-    @patch('time.time')
-    def test_sign_request_timestamp_generation(self, mock_time, temp_key_pair):
-        """Test that timestamps are generated correctly."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        # Test with different timestamps
-        mock_time.return_value = 1000.5
-        _, timestamp1 = auth.sign_request("POST", "/api/chat")
-        assert timestamp1 == "1000"
-        
-        mock_time.return_value = 2000.9
-        _, timestamp2 = auth.sign_request("POST", "/api/chat")
-        assert timestamp2 == "2000"
-
-    def test_signature_verification_challenge_format(self, temp_key_pair):
-        """Test that the challenge is formatted correctly for signature verification."""
-        temp_key_path, private_key = temp_key_pair
-        
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        method = "POST"
-        path = "/api/chat"
-        
-        with patch('time.time', return_value=1234567890):
-            auth_token, timestamp = auth.sign_request(method, path)
-        
-        # Extract signature and verify it was created with correct challenge
-        public_key_b64, signature_b64 = auth_token.split(':')
-        signature = base64.b64decode(signature_b64)
-        
-        # The challenge should be "POST,/api/chat?ts=1234567890"
-        expected_challenge = f"{method},{path}?ts={timestamp}"
-        
-        # Load the private key and get public key for verification
-        loaded_private_key = auth.load_private_key()
-        public_key = loaded_private_key.public_key()
-        
-        # Verify the signature
-        try:
-            public_key.verify(signature, expected_challenge.encode())
-            # If no exception is raised, signature is valid
-        except Exception:
-            pytest.fail("Signature verification failed - challenge format incorrect")
-
-    def test_integration_full_flow(self, temp_key_pair):
-        """Test the complete authentication flow integration."""
-        temp_key_path, private_key = temp_key_pair
-        
-        # Test complete flow: init -> sign -> verify
-        auth = OllamaAuth(key_path=temp_key_path)
-        
-        method = "POST"
-        path = "/api/chat"
-        
-        # Sign a request
-        auth_token, timestamp = auth.sign_request(method, path)
-        
-        # Verify the components
-        assert isinstance(auth_token, str)
-        assert isinstance(timestamp, str)
-        assert int(timestamp) > 0  # Should be a valid timestamp
-        
-        # Verify token format
-        parts = auth_token.split(':')
-        assert len(parts) == 2
-        
-        public_key_b64, signature_b64 = parts
-        
-        # Verify we can decode both parts
-        public_key_bytes = base64.b64decode(public_key_b64)
-        signature_bytes = base64.b64decode(signature_b64)
-        
-        assert len(public_key_bytes) > 0
-        assert len(signature_bytes) > 0
-        
-        # Verify the signature is valid for the challenge
-        challenge = f"{method},{path}?ts={timestamp}"
-        loaded_private_key = auth.load_private_key()
-        public_key = loaded_private_key.public_key()
-        
-        # This should not raise an exception
-        public_key.verify(signature_bytes, challenge.encode())
@@ -61,6 +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():
@@ -294,6 +332,40 @@ 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',
@@ -496,6 +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',
@@ -1195,3 +1376,113 @@ async def test_arbitrary_roles_accepted_in_message_request_async(monkeypatch: py
  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
@@ -1,9 +1,8 @@
 version = 1
 requires-python = ">=3.8"
 resolution-markers = [
-    "platform_python_implementation == 'PyPy'",
-    "python_full_version < '3.9' and platform_python_implementation != 'PyPy'",
-    "python_full_version >= '3.9' and platform_python_implementation != 'PyPy'",
+    "python_full_version >= '3.9'",
+    "python_full_version < '3.9'",
 ]

 [[package]]
@@ -22,301 +21,76 @@ wheels = [
 name = "anyio"
 version = "4.5.2"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.9'",
+]
 dependencies = [
-    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
-    { name = "idna" },
-    { name = "sniffio" },
-    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+    { name = "exceptiongroup", marker = "python_full_version < '3.9'" },
+    { name = "idna", marker = "python_full_version < '3.9'" },
+    { name = "sniffio", marker = "python_full_version < '3.9'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.9'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/4d/f9/9a7ce600ebe7804daf90d4d48b1c0510a4561ddce43a596be46676f82343/anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b", size = 171293 }
 wheels = [
    { url = "https://files.pythonhosted.org/packages/1b/b4/f7e396030e3b11394436358ca258a81d6010106582422f23443c16ca1873/anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f", size = 89766 },
 ]

+[[package]]
+name = "anyio"
+version = "4.8.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.9'",
+]
+dependencies = [
+    { name = "exceptiongroup", marker = "python_full_version >= '3.9' and python_full_version < '3.11'" },
+    { name = "idna", marker = "python_full_version >= '3.9'" },
+    { name = "sniffio", marker = "python_full_version >= '3.9'" },
+    { name = "typing-extensions", marker = "python_full_version >= '3.9' and python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a3/73/199a98fc2dae33535d6b8e8e6ec01f8c1d76c9adb096c6b7d64823038cde/anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a", size = 181126 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/46/eb/e7f063ad1fec6b3178a3cd82d1a3c4de82cccf283fc42746168188e1cdd5/anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a", size = 96041 },
+]
+
 [[package]]
 name = "certifi"
-version = "2025.8.3"
+version = "2025.1.31"
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Author	SHA1	Message	Date
Jeffrey Morgan	dbccf192ac	Add image generation support (#616 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details	2026-01-23 00:33:52 -08:00
dependabot[bot]	60e7b2f9ce	build(deps): bump actions/checkout from 5 to 6 (#602 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details 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 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details	2025-12-10 17:09:19 -08:00
Eden Chan	115792583e	readme: add cloud models usage and examples (#595 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details	2025-11-13 15:03:58 -08:00
Parth Sareen	0008226fda	client/types: add logprobs support (#601 ) test / test (push) Waiting to run Details test / lint (push) Waiting to run Details	2025-11-12 18:08:42 -08:00
Parth Sareen	9ddd5f0182	examples: fix model web search (#589 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details	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 ) test / test (push) Waiting to run Details test / lint (push) Waiting to run Details	2025-09-23 21:54:43 -07:00
nicole pardal	16f344f635	client/types: update web search and fetch API (#584 ) test / test (push) Waiting to run Details test / lint (push) Waiting to run Details --------- 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 ) test / test (push) Waiting to run Details test / lint (push) Waiting to run Details	2025-09-22 20:28:40 -07:00
Parth Sareen	b22c5fdabb	init: fix export for web_search (#581 ) test / test (push) Has been cancelled Details test / lint (push) Has been cancelled Details	2025-09-19 10:06:30 -07:00
Parth Sareen	4d0b81b37a	client: add web search and web crawl capabilities (#578 ) test / test (push) Waiting to run Details test / lint (push) Waiting to run Details	2025-09-18 16:51:20 -07:00