fix validation of format field to allow empty strings as it did previously (#369)

Bumps [pytest](https://github.com/pytest-dev/pytest) from 8.3.3 to 8.3.4.
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/8.3.3...8.3.4)

---
updated-dependencies:
- dependency-name: pytest
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/dependabot.yml

@@ -0,0 +1,10 @@
+version: 2
+updates:
+  - package-ecosystem: github-actions
+    directory: /
+    schedule:
+      interval: daily
+  - package-ecosystem: pip
+    directory: /
+    schedule:
+      interval: daily

.github/workflows/test.yaml

@@ -2,12 +2,15 @@ name: test
 
 on:
   pull_request:
+    paths-ignore:
+      - 'examples/**'
+      - '**/README.md'
 
 jobs:
   test:
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13']
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
@@ -17,7 +20,8 @@ jobs:
           python-version: ${{ matrix.python-version }}
           cache: poetry
       - run: poetry install --with=dev
-      - run: poetry run ruff --output-format=github .
+      - run: poetry run ruff check --output-format=github .
+      - run: poetry run ruff format --check .
       - run: poetry run pytest . --junitxml=junit/test-results-${{ matrix.python-version }}.xml --cov=ollama --cov-report=xml --cov-report=html
       - name: check poetry.lock is up-to-date
         run: poetry check --lock
@@ -25,7 +29,7 @@ jobs:
         run: |
           poetry export >requirements.txt
           git diff --exit-code requirements.txt
-      - uses: actions/upload-artifact@v3
+      - uses: actions/upload-artifact@v4
         with:
           name: pytest-results-${{ matrix.python-version }}
           path: junit/test-results-${{ matrix.python-version }}.xml

README.md

@@ -1,48 +1,77 @@
 # Ollama Python Library
 
-The Ollama Python library provides the easiest way to integrate your Python 3 project with [Ollama](https://github.com/jmorganca/ollama).
+The Ollama Python library provides the easiest way to integrate Python 3.8+ projects with [Ollama](https://github.com/ollama/ollama).
 
-## Getting Started
+## Prerequisites
 
-Requires Python 3.8 or higher.
+- [Ollama](https://ollama.com/download) should be installed and running
+- Pull a model to use with the library: `ollama pull <model>` e.g. `ollama pull llama3.2`
+  - See [Ollama.com](https://ollama.com/search) for more information on the models available.
+
+## Install
 
 ```sh
 pip install ollama
 ```
 
-A global default client is provided for convenience and can be used in the same way as the synchronous client.
+## Usage
 
 ```python
-import ollama
-response = ollama.chat(model='llama2', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+from ollama import chat
+from ollama import ChatResponse
+
+response: ChatResponse = chat(model='llama3.2', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
+print(response['message']['content'])
+# or access fields directly from the response object
+print(response.message.content)
 ```
 
+See [_types.py](ollama/_types.py) for more information on the response types.
+
+## Streaming responses
+
+Response streaming can be enabled by setting `stream=True`.
+
 ```python
-import ollama
-message = {'role': 'user', 'content': 'Why is the sky blue?'}
-for part in ollama.chat(model='llama2', messages=[message], stream=True):
-  print(part['message']['content'], end='', flush=True)
+from ollama import chat
+
+stream = chat(
+    model='llama3.2',
+    messages=[{'role': 'user', 'content': 'Why is the sky blue?'}],
+    stream=True,
+)
+
+for chunk in stream:
+  print(chunk['message']['content'], end='', flush=True)
 ```
 
+## Custom client
+A custom client can be created by instantiating `Client` or `AsyncClient` from `ollama`.
 
-## Using the Synchronous Client
+All extra keyword arguments are passed into the [`httpx.Client`](https://www.python-httpx.org/api/#client).
 
 ```python
 from ollama import Client
-message = {'role': 'user', 'content': 'Why is the sky blue?'}
-response = Client().chat(model='llama2', messages=[message])
+client = Client(
+  host='http://localhost:11434',
+  headers={'x-some-header': 'some-value'}
+)
+response = client.chat(model='llama3.2', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
 ```
 
-Response streaming can be enabled by setting `stream=True`. This modifies the function to return a Python generator where each part is an object in the stream.
+## Async client
 
-```python
-from ollama import Client
-message = {'role': 'user', 'content': 'Why is the sky blue?'}
-for part in Client().chat(model='llama2', messages=[message], stream=True):
-  print(part['message']['content'], end='', flush=True)
-```
-
-## Using the Asynchronous Client
+The `AsyncClient` class is used to make asynchronous requests. It can be configured with the same fields as the `Client` class.
 
 ```python
 import asyncio
@@ -50,12 +79,12 @@ from ollama import AsyncClient
 
 async def chat():
   message = {'role': 'user', 'content': 'Why is the sky blue?'}
-  response = await AsyncClient().chat(model='llama2', messages=[message])
+  response = await AsyncClient().chat(model='llama3.2', messages=[message])
 
 asyncio.run(chat())
 ```
 
-Similar to the synchronous client, setting `stream=True` modifies the function to return a Python asynchronous generator.
+Setting `stream=True` modifies functions to return a Python asynchronous generator:
 
 ```python
 import asyncio
@@ -63,13 +92,95 @@ from ollama import AsyncClient
 
 async def chat():
   message = {'role': 'user', 'content': 'Why is the sky blue?'}
-  async for part in await AsyncClient().chat(model='llama2', messages=[message], stream=True):
+  async for part in await AsyncClient().chat(model='llama3.2', messages=[message], stream=True):
     print(part['message']['content'], end='', flush=True)
 
 asyncio.run(chat())
 ```
 
-## Handling Errors
+## API
+
+The Ollama Python library's API is designed around the [Ollama REST API](https://github.com/ollama/ollama/blob/main/docs/api.md)
+
+### Chat
+
+```python
+ollama.chat(model='llama3.2', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+```
+
+### Generate
+
+```python
+ollama.generate(model='llama3.2', prompt='Why is the sky blue?')
+```
+
+### List
+
+```python
+ollama.list()
+```
+
+### Show
+
+```python
+ollama.show('llama3.2')
+```
+
+### Create
+
+```python
+modelfile='''
+FROM llama3.2
+SYSTEM You are mario from super mario bros.
+'''
+
+ollama.create(model='example', modelfile=modelfile)
+```
+
+### Copy
+
+```python
+ollama.copy('llama3.2', 'user/llama3.2')
+```
+
+### Delete
+
+```python
+ollama.delete('llama3.2')
+```
+
+### Pull
+
+```python
+ollama.pull('llama3.2')
+```
+
+### Push
+
+```python
+ollama.push('user/llama3.2')
+```
+
+### Embed
+
+```python
+ollama.embed(model='llama3.2', input='The sky is blue because of rayleigh scattering')
+```
+
+### Embed (batch)
+
+```python
+ollama.embed(model='llama3.2', input=['The sky is blue because of rayleigh scattering', 'Grass is green because of chlorophyll'])
+```
+
+### Ps
+
+```python
+ollama.ps()
+```
+
+
+## Errors
 
 Errors are raised if requests return an error status or if an error is detected while streaming.
 
@@ -79,7 +190,7 @@ model = 'does-not-yet-exist'
 try:
   ollama.chat(model)
 except ollama.ResponseError as e:
-  print('Error:', e.content)
+  print('Error:', e.error)
   if e.status_code == 404:
     ollama.pull(model)
 ```

examples/README.md

@@ -0,0 +1,63 @@
+# Running Examples
+
+Run the examples in this directory with:
+```sh
+# Run example
+python3 examples/<example>.py
+```
+
+### 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)
+
+
+### Multimodal with Images - Chat with a multimodal (image chat) model
+- [multimodal_chat.py](multimodal_chat.py)
+- [multimodal_generate.py](multimodal_generate.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 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) 
+
+
+### Ollama Create - Create a model from a Modelfile
+```python
+python create.py <model> <modelfile>
+```
+- [create.py](create.py) 
+
+See [ollama/docs/modelfile.md](https://github.com/ollama/ollama/blob/main/docs/modelfile.md) for more information on the Modelfile format.
+
+
+### Ollama Embed - Generate embeddings with a model
+- [embed.py](embed.py)
+

examples/async-chat-stream/README.md

@@ -1,3 +0,0 @@
-# async-chat-stream
-
-This example demonstrates how to create a conversation history using an asynchronous Ollama client and the chat endpoint. The streaming response is outputted to `stdout` as well as a TTS if enabled with `--speak` and available. Supported TTS are `say` on macOS and `espeak` on Linux.

examples/async-chat-stream/main.py

@@ -1,59 +0,0 @@
-import shutil
-import asyncio
-import argparse
-
-import ollama
-
-
-async def speak(speaker, content):
-  if speaker:
-    p = await asyncio.create_subprocess_exec(speaker, content)
-    await p.communicate()
-
-
-async def main():
-  parser = argparse.ArgumentParser()
-  parser.add_argument('--speak', default=False, action='store_true')
-  args = parser.parse_args()
-
-  speaker = None
-  if not args.speak:
-    ...
-  elif say := shutil.which('say'):
-    speaker = say
-  elif (espeak := shutil.which('espeak')) or (espeak := shutil.which('espeak-ng')):
-    speaker = espeak
-
-  client = ollama.AsyncClient()
-
-  messages = []
-
-  while True:
-    if content_in := input('>>> '):
-      messages.append({'role': 'user', 'content': content_in})
-
-      content_out = ''
-      message = {'role': 'assistant', 'content': ''}
-      async for response in await client.chat(model='mistral', messages=messages, stream=True):
-        if response['done']:
-          messages.append(message)
-
-        content = response['message']['content']
-        print(content, end='', flush=True)
-
-        content_out += content
-        if content in ['.', '!', '?', '\n']:
-          await speak(speaker, content_out)
-          content_out = ''
-
-        message['content'] += content
-
-      if content_out:
-        await speak(speaker, content_out)
-      print()
-
-
-try:
-  asyncio.run(main())
-except (KeyboardInterrupt, EOFError):
-  ...

examples/async-chat.py

@@ -0,0 +1,19 @@
+import asyncio
+from ollama import AsyncClient
+
+
+async def main():
+  messages = [
+    {
+      'role': 'user',
+      'content': 'Why is the sky blue?',
+    },
+  ]
+
+  client = AsyncClient()
+  response = await client.chat('llama3.2', messages=messages)
+  print(response['message']['content'])
+
+
+if __name__ == '__main__':
+  asyncio.run(main())

examples/async-generate.py

@@ -0,0 +1,15 @@
+import asyncio
+import ollama
+
+
+async def main():
+  client = ollama.AsyncClient()
+  response = await client.generate('llama3.2', 'Why is the sky blue?')
+  print(response['response'])
+
+
+if __name__ == '__main__':
+  try:
+    asyncio.run(main())
+  except KeyboardInterrupt:
+    print('\nGoodbye!')

examples/async-structured-outputs.py

@@ -0,0 +1,32 @@
+from pydantic import BaseModel
+from ollama import AsyncClient
+import asyncio
+
+
+# Define the schema for the response
+class FriendInfo(BaseModel):
+  name: str
+  age: int
+  is_available: bool
+
+
+class FriendList(BaseModel):
+  friends: list[FriendInfo]
+
+
+async def main():
+  client = AsyncClient()
+  response = await client.chat(
+    model='llama3.1:8b',
+    messages=[{'role': 'user', 'content': 'I have two friends. The first is Ollama 22 years old busy saving the world, and the second is Alonso 23 years old and wants to hang out. Return a list of friends in JSON format'}],
+    format=FriendList.model_json_schema(),  # Use Pydantic to generate the schema
+    options={'temperature': 0},  # Make responses more deterministic
+  )
+
+  # Use Pydantic to validate the response
+  friends_response = FriendList.model_validate_json(response.message.content)
+  print(friends_response)
+
+
+if __name__ == '__main__':
+  asyncio.run(main())

examples/async-tools.py

@@ -0,0 +1,92 @@
+import asyncio
+from ollama import ChatResponse
+import ollama
+
+
+def add_two_numbers(a: int, b: int) -> int:
+  """
+  Add two numbers
+
+  Args:
+    a (int): The first number
+    b (int): The second number
+
+  Returns:
+    int: The sum of the two numbers
+  """
+  return a + b
+
+
+def subtract_two_numbers(a: int, b: int) -> int:
+  """
+  Subtract two numbers
+  """
+  return a - b
+
+
+# Tools can still be manually defined and passed into chat
+subtract_two_numbers_tool = {
+  'type': 'function',
+  'function': {
+    'name': 'subtract_two_numbers',
+    'description': 'Subtract two numbers',
+    'parameters': {
+      'type': 'object',
+      'required': ['a', 'b'],
+      'properties': {
+        'a': {'type': 'integer', 'description': 'The first number'},
+        'b': {'type': 'integer', 'description': 'The second number'},
+      },
+    },
+  },
+}
+
+messages = [{'role': 'user', 'content': 'What is three plus one?'}]
+print('Prompt:', messages[0]['content'])
+
+available_functions = {
+  'add_two_numbers': add_two_numbers,
+  'subtract_two_numbers': subtract_two_numbers,
+}
+
+
+async def main():
+  client = ollama.AsyncClient()
+
+  response: ChatResponse = await client.chat(
+    'llama3.1',
+    messages=messages,
+    tools=[add_two_numbers, subtract_two_numbers_tool],
+  )
+
+  if response.message.tool_calls:
+    # There may be multiple tool calls in the response
+    for tool in response.message.tool_calls:
+      # Ensure the function is available, and then call it
+      if function_to_call := available_functions.get(tool.function.name):
+        print('Calling function:', tool.function.name)
+        print('Arguments:', tool.function.arguments)
+        output = function_to_call(**tool.function.arguments)
+        print('Function output:', output)
+      else:
+        print('Function', tool.function.name, 'not found')
+
+  # Only needed to chat with the model using the tool call results
+  if response.message.tool_calls:
+    # Add the function response to messages for the model to use
+    messages.append(response.message)
+    messages.append({'role': 'tool', 'content': str(output), 'name': tool.function.name})
+
+    # Get final response from model with function outputs
+    final_response = await client.chat('llama3.1', messages=messages)
+    print('Final response:', final_response.message.content)
+
+  else:
+    print('No tool calls returned from model')
+
+
+if __name__ == '__main__':
+  try:
+    asyncio.run(main())
+  except KeyboardInterrupt:
+    print('\nGoodbye!')

examples/chat-stream.py

@@ -8,8 +8,7 @@ messages = [
   },
 ]
 
-for part in chat('mistral', messages=messages, stream=True):
+for part in chat('llama3.2', messages=messages, stream=True):
   print(part['message']['content'], end='', flush=True)
 
-# end with a newline
 print()

examples/chat-with-history.py

@@ -0,0 +1,38 @@
+from ollama import chat
+
+
+messages = [
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+  {
+    'role': 'assistant',
+    'content': "The sky is blue because of the way the Earth's atmosphere scatters sunlight.",
+  },
+  {
+    'role': 'user',
+    'content': 'What is the weather in Tokyo?',
+  },
+  {
+    '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.',
+  },
+]
+
+while True:
+  user_input = input('Chat with history: ')
+  response = chat(
+    'llama3.2',
+    messages=messages
+    + [
+      {'role': 'user', 'content': user_input},
+    ],
+  )
+
+  # Add the response to the messages to maintain the history
+  messages += [
+    {'role': 'user', 'content': user_input},
+    {'role': 'assistant', 'content': response.message.content},
+  ]
+  print(response.message.content + '\n')

examples/chat.py

@@ -1,6 +1,5 @@
 from ollama import chat
 
-
 messages = [
   {
     'role': 'user',
@@ -8,5 +7,5 @@ messages = [
   },
 ]
 
-response = chat('mistral', messages=messages)
+response = chat('llama3.2', messages=messages)
 print(response['message']['content'])

examples/create.py

@@ -0,0 +1,30 @@
+import sys
+
+from ollama import create
+
+
+args = sys.argv[1:]
+if len(args) == 2:
+  # create from local file
+  path = args[1]
+else:
+  print('usage: python create.py <name> <filepath>')
+  sys.exit(1)
+
+# TODO: update to real Modelfile values
+modelfile = f"""
+FROM {path}
+"""
+example_modelfile = """
+FROM llama3.2
+# sets the temperature to 1 [higher is more creative, lower is more coherent]
+PARAMETER temperature 1
+# sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token
+PARAMETER num_ctx 4096
+
+# sets a custom system message to specify the behavior of the chat assistant
+SYSTEM You are Mario from super mario bros, acting as an assistant.
+"""
+
+for response in create(model=args[0], modelfile=modelfile, stream=True):
+  print(response['status'])

examples/embed.py

@@ -0,0 +1,4 @@
+from ollama import embed
+
+response = embed(model='llama3.2', input='Hello, world!')
+print(response['embeddings'])

examples/fill-in-middle.py

@@ -1,16 +1,16 @@
 from ollama import generate
 
-prefix = '''def remove_non_ascii(s: str) -> str:
+prompt = '''def remove_non_ascii(s: str) -> str:
     """ '''
 
 suffix = """
     return result
 """
 
-
 response = generate(
   model='codellama:7b-code',
-  prompt=f'<PRE> {prefix} <SUF>{suffix} <MID>',
+  prompt=prompt,
+  suffix=suffix,
   options={
     'num_predict': 128,
     'temperature': 0,

examples/generate-stream.py

@@ -1,5 +1,5 @@
 from ollama import generate
 
 
-for part in generate('mistral', 'Why is the sky blue?', stream=True):
+for part in generate('llama3.2', 'Why is the sky blue?', stream=True):
   print(part['response'], end='', flush=True)

examples/generate.py

@@ -1,5 +1,5 @@
 from ollama import generate
 
 
-response = generate('mistral', 'Why is the sky blue?')
+response = generate('llama3.2', 'Why is the sky blue?')
 print(response['response'])

examples/list.py

@@ -0,0 +1,14 @@
+from ollama import list
+from ollama import ListResponse
+
+response: ListResponse = list()
+
+for model in response.models:
+  print('Name:', model.model)
+  print('  Size (MB):', f'{(model.size.real / 1024 / 1024):.2f}')
+  if model.details:
+    print('  Format:', model.details.format)
+    print('  Family:', model.details.family)
+    print('  Parameter Size:', model.details.parameter_size)
+    print('  Quantization Level:', model.details.quantization_level)
+  print('\n')

examples/multimodal-chat.py

@@ -0,0 +1,23 @@
+from ollama import chat
+# from pathlib import Path
+
+# Pass in the path to the image
+path = input('Please enter the path to the image: ')
+
+# You can also pass in base64 encoded image data
+# img = base64.b64encode(Path(path).read_bytes()).decode()
+# or the raw bytes
+# img = Path(path).read_bytes()
+
+response = chat(
+  model='llama3.2-vision',
+  messages=[
+    {
+      'role': 'user',
+      'content': 'What is in this image? Be concise.',
+      'images': [path],
+    }
+  ],
+)
+
+print(response.message.content)

examples/ps.py

@@ -0,0 +1,27 @@
+from ollama import ps, pull, chat
+from ollama import ProcessResponse
+
+# Ensure at least one model is loaded
+response = pull('llama3.2', stream=True)
+progress_states = set()
+for progress in response:
+  if progress.get('status') in progress_states:
+    continue
+  progress_states.add(progress.get('status'))
+  print(progress.get('status'))
+
+print('\n')
+
+print('Waiting for model to load... \n')
+chat(model='llama3.2', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+
+
+response: ProcessResponse = ps()
+for model in response.models:
+  print('Model: ', model.model)
+  print('  Digest: ', model.digest)
+  print('  Expires at: ', model.expires_at)
+  print('  Size: ', model.size)
+  print('  Size vram: ', model.size_vram)
+  print('  Details: ', model.details)
+  print('\n')

examples/pull-progress/README.md

@@ -1,9 +0,0 @@
-# pull-progress
-
-This example emulates `ollama pull` using the Python library and [`tqdm`](https://tqdm.github.io/).
-
-## Setup
-
-```shell
-pip install -r requirements.txt
-```

examples/pull-progress/requirements.txt

@@ -1 +0,0 @@
-tqdm==4.66.1

examples/pull.py

@@ -3,7 +3,7 @@ from ollama import pull
 
 
 current_digest, bars = '', {}
-for progress in pull('mistral', stream=True):
+for progress in pull('llama3.2', stream=True):
   digest = progress.get('digest', '')
   if digest != current_digest and current_digest in bars:
     bars[current_digest].close()
@@ -13,7 +13,7 @@ for progress in pull('mistral', stream=True):
     continue
 
   if digest not in bars and (total := progress.get('total')):
-    bars[digest] = tqdm(total=total, desc=f'pushing {digest[7:19]}', unit='B', unit_scale=True)
+    bars[digest] = tqdm(total=total, desc=f'pulling {digest[7:19]}', unit='B', unit_scale=True)
 
   if completed := progress.get('completed'):
     bars[digest].update(completed - bars[digest].n)

examples/structured-outputs-image.py

@@ -0,0 +1,50 @@
+from pathlib import Path
+from pydantic import BaseModel
+from typing import List, Optional, Literal
+from ollama import chat
+from rich import print
+
+
+# Define the schema for image objects
+class Object(BaseModel):
+  name: str
+  confidence: float
+  attributes: Optional[dict] = None
+
+
+class ImageDescription(BaseModel):
+  summary: str
+  objects: List[Object]
+  scene: str
+  colors: List[str]
+  time_of_day: Literal['Morning', 'Afternoon', 'Evening', 'Night']
+  setting: Literal['Indoor', 'Outdoor', 'Unknown']
+  text_content: Optional[str] = None
+
+
+# Get path from user input
+path = input('Enter the path to your image: ')
+path = Path(path)
+
+# Verify the file exists
+if not path.exists():
+  raise FileNotFoundError(f'Image not found at: {path}')
+
+# Set up chat as usual
+response = chat(
+  model='llama3.2-vision',
+  format=ImageDescription.model_json_schema(),  # Pass in the schema for the response
+  messages=[
+    {
+      'role': 'user',
+      'content': 'Analyze this image and return a detailed JSON description including objects, scene, colors and any text detected. If you cannot determine certain details, leave those fields empty.',
+      'images': [path],
+    },
+  ],
+  options={'temperature': 0},  # Set temperature to 0 for more deterministic output
+)
+
+
+# Convert received content to the schema
+image_analysis = ImageDescription.model_validate_json(response.message.content)
+print(image_analysis)

examples/structured-outputs.py

@@ -0,0 +1,26 @@
+from ollama import chat
+from pydantic import BaseModel
+
+
+# Define the schema for the response
+class FriendInfo(BaseModel):
+  name: str
+  age: int
+  is_available: bool
+
+
+class FriendList(BaseModel):
+  friends: list[FriendInfo]
+
+
+# schema = {'type': 'object', 'properties': {'friends': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'age': {'type': 'integer'}, 'is_available': {'type': 'boolean'}}, 'required': ['name', 'age', 'is_available']}}}, 'required': ['friends']}
+response = chat(
+  model='llama3.1:8b',
+  messages=[{'role': 'user', 'content': 'I have two friends. The first is Ollama 22 years old busy saving the world, and the second is Alonso 23 years old and wants to hang out. Return a list of friends in JSON format'}],
+  format=FriendList.model_json_schema(),  # Use Pydantic to generate the schema or format=schema
+  options={'temperature': 0},  # Make responses more deterministic
+)
+
+# Use Pydantic to validate the response
+friends_response = FriendList.model_validate_json(response.message.content)
+print(friends_response)

examples/tools.py

@@ -0,0 +1,80 @@
+from ollama import chat
+from ollama import ChatResponse
+
+
+def add_two_numbers(a: int, b: int) -> int:
+  """
+  Add two numbers
+
+  Args:
+    a (int): The first number
+    b (int): The second number
+
+  Returns:
+    int: The sum of the two numbers
+  """
+  return a + b
+
+
+def subtract_two_numbers(a: int, b: int) -> int:
+  """
+  Subtract two numbers
+  """
+  return a - b
+
+
+# Tools can still be manually defined and passed into chat
+subtract_two_numbers_tool = {
+  'type': 'function',
+  'function': {
+    'name': 'subtract_two_numbers',
+    'description': 'Subtract two numbers',
+    'parameters': {
+      'type': 'object',
+      'required': ['a', 'b'],
+      'properties': {
+        'a': {'type': 'integer', 'description': 'The first number'},
+        'b': {'type': 'integer', 'description': 'The second number'},
+      },
+    },
+  },
+}
+
+messages = [{'role': 'user', 'content': 'What is three plus one?'}]
+print('Prompt:', messages[0]['content'])
+
+available_functions = {
+  'add_two_numbers': add_two_numbers,
+  'subtract_two_numbers': subtract_two_numbers,
+}
+
+response: ChatResponse = chat(
+  'llama3.1',
+  messages=messages,
+  tools=[add_two_numbers, subtract_two_numbers_tool],
+)
+
+if response.message.tool_calls:
+  # There may be multiple tool calls in the response
+  for tool in response.message.tool_calls:
+    # Ensure the function is available, and then call it
+    if function_to_call := available_functions.get(tool.function.name):
+      print('Calling function:', tool.function.name)
+      print('Arguments:', tool.function.arguments)
+      output = function_to_call(**tool.function.arguments)
+      print('Function output:', output)
+    else:
+      print('Function', tool.function.name, 'not found')
+
+# Only needed to chat with the model using the tool call results
+if response.message.tool_calls:
+  # Add the function response to messages for the model to use
+  messages.append(response.message)
+  messages.append({'role': 'tool', 'content': str(output), 'name': tool.function.name})
+
+  # Get final response from model with function outputs
+  final_response = chat('llama3.1', messages=messages)
+  print('Final response:', final_response.message.content)
+
+else:
+  print('No tool calls returned from model')

ollama/__init__.py

@@ -1,10 +1,17 @@
 from ollama._client import Client, AsyncClient
 from ollama._types import (
+  Options,
+  Message,
+  Tool,
   GenerateResponse,
   ChatResponse,
+  EmbedResponse,
+  EmbeddingsResponse,
+  StatusResponse,
   ProgressResponse,
-  Message,
-  Options,
+  ListResponse,
+  ShowResponse,
+  ProcessResponse,
   RequestError,
   ResponseError,
 )
@@ -12,29 +19,27 @@ from ollama._types import (
 __all__ = [
   'Client',
   'AsyncClient',
+  'Options',
+  'Message',
+  'Tool',
   'GenerateResponse',
   'ChatResponse',
+  'EmbedResponse',
+  'EmbeddingsResponse',
+  'StatusResponse',
   'ProgressResponse',
-  'Message',
-  'Options',
+  'ListResponse',
+  'ShowResponse',
+  'ProcessResponse',
   'RequestError',
   'ResponseError',
-  'generate',
-  'chat',
-  'embeddings',
-  'pull',
-  'push',
-  'create',
-  'delete',
-  'list',
-  'copy',
-  'show',
 ]
 
 _client = Client()
 
 generate = _client.generate
 chat = _client.chat
+embed = _client.embed
 embeddings = _client.embeddings
 pull = _client.pull
 push = _client.push
@@ -43,3 +48,4 @@ delete = _client.delete
 list = _client.list
 copy = _client.copy
 show = _client.show
+ps = _client.ps

ollama/_types.py

@@ -1,41 +1,243 @@
 import json
-from typing import Any, TypedDict, Sequence, Literal
+from base64 import b64decode, b64encode
+from pathlib import Path
+from datetime import datetime
+from typing import Any, Mapping, Optional, Union, Sequence
 
-import sys
+from pydantic.json_schema import JsonSchemaValue
+from typing_extensions import Annotated, Literal
 
-if sys.version_info < (3, 11):
-  from typing_extensions import NotRequired
-else:
-  from typing import NotRequired
+from pydantic import (
+  BaseModel,
+  ByteSize,
+  ConfigDict,
+  Field,
+  model_serializer,
+)
 
 
-class BaseGenerateResponse(TypedDict):
-  model: str
-  "Model used to generate response."
+class SubscriptableBaseModel(BaseModel):
+  def __getitem__(self, key: str) -> Any:
+    """
+    >>> msg = Message(role='user')
+    >>> msg['role']
+    'user'
+    >>> msg = Message(role='user')
+    >>> msg['nonexistent']
+    Traceback (most recent call last):
+    KeyError: 'nonexistent'
+    """
+    if key in self:
+      return getattr(self, key)
 
-  created_at: str
-  "Time when the request was created."
+    raise KeyError(key)
 
-  done: bool
-  "True if response is complete, otherwise False. Useful for streaming to detect the final response."
+  def __setitem__(self, key: str, value: Any) -> None:
+    """
+    >>> msg = Message(role='user')
+    >>> msg['role'] = 'assistant'
+    >>> msg['role']
+    'assistant'
+    >>> tool_call = Message.ToolCall(function=Message.ToolCall.Function(name='foo', arguments={}))
+    >>> msg = Message(role='user', content='hello')
+    >>> msg['tool_calls'] = [tool_call]
+    >>> msg['tool_calls'][0]['function']['name']
+    'foo'
+    """
+    setattr(self, key, value)
 
-  total_duration: int
-  "Total duration in nanoseconds."
+  def __contains__(self, key: str) -> bool:
+    """
+    >>> msg = Message(role='user')
+    >>> 'nonexistent' in msg
+    False
+    >>> 'role' in msg
+    True
+    >>> 'content' in msg
+    False
+    >>> msg.content = 'hello!'
+    >>> 'content' in msg
+    True
+    >>> msg = Message(role='user', content='hello!')
+    >>> 'content' in msg
+    True
+    >>> 'tool_calls' in msg
+    False
+    >>> msg['tool_calls'] = []
+    >>> 'tool_calls' in msg
+    True
+    >>> msg['tool_calls'] = [Message.ToolCall(function=Message.ToolCall.Function(name='foo', arguments={}))]
+    >>> 'tool_calls' in msg
+    True
+    >>> msg['tool_calls'] = None
+    >>> 'tool_calls' in msg
+    True
+    >>> tool = Tool()
+    >>> 'type' in tool
+    True
+    """
+    if key in self.model_fields_set:
+      return True
 
-  load_duration: int
-  "Load duration in nanoseconds."
+    if key in self.model_fields:
+      return self.model_fields[key].default is not None
 
-  prompt_eval_count: int
-  "Number of tokens evaluated in the prompt."
+    return False
 
-  prompt_eval_duration: int
-  "Duration of evaluating the prompt in nanoseconds."
+  def get(self, key: str, default: Any = None) -> Any:
+    """
+    >>> msg = Message(role='user')
+    >>> msg.get('role')
+    'user'
+    >>> msg = Message(role='user')
+    >>> msg.get('nonexistent')
+    >>> msg = Message(role='user')
+    >>> msg.get('nonexistent', 'default')
+    'default'
+    >>> msg = Message(role='user', tool_calls=[ Message.ToolCall(function=Message.ToolCall.Function(name='foo', arguments={}))])
+    >>> msg.get('tool_calls')[0]['function']['name']
+    'foo'
+    """
+    return self[key] if key in self else default
 
-  eval_count: int
-  "Number of tokens evaluated in inference."
 
-  eval_duration: int
-  "Duration of evaluating inference in nanoseconds."
+class Options(SubscriptableBaseModel):
+  # load time options
+  numa: Optional[bool] = None
+  num_ctx: Optional[int] = None
+  num_batch: Optional[int] = None
+  num_gpu: Optional[int] = None
+  main_gpu: Optional[int] = None
+  low_vram: Optional[bool] = None
+  f16_kv: Optional[bool] = None
+  logits_all: Optional[bool] = None
+  vocab_only: Optional[bool] = None
+  use_mmap: Optional[bool] = None
+  use_mlock: Optional[bool] = None
+  embedding_only: Optional[bool] = None
+  num_thread: Optional[int] = None
+
+  # runtime options
+  num_keep: Optional[int] = None
+  seed: Optional[int] = None
+  num_predict: Optional[int] = None
+  top_k: Optional[int] = None
+  top_p: Optional[float] = None
+  tfs_z: Optional[float] = None
+  typical_p: Optional[float] = None
+  repeat_last_n: Optional[int] = None
+  temperature: Optional[float] = None
+  repeat_penalty: Optional[float] = None
+  presence_penalty: Optional[float] = None
+  frequency_penalty: Optional[float] = None
+  mirostat: Optional[int] = None
+  mirostat_tau: Optional[float] = None
+  mirostat_eta: Optional[float] = None
+  penalize_newline: Optional[bool] = None
+  stop: Optional[Sequence[str]] = None
+
+
+class BaseRequest(SubscriptableBaseModel):
+  model: Annotated[str, Field(min_length=1)]
+  'Model to use for the request.'
+
+
+class BaseStreamableRequest(BaseRequest):
+  stream: Optional[bool] = None
+  'Stream response.'
+
+
+class BaseGenerateRequest(BaseStreamableRequest):
+  options: Optional[Union[Mapping[str, Any], Options]] = None
+  'Options to use for the request.'
+
+  format: Optional[Union[Literal['', 'json'], JsonSchemaValue]] = None
+  'Format of the response.'
+
+  keep_alive: Optional[Union[float, str]] = None
+  'Keep model alive for the specified duration.'
+
+
+class Image(BaseModel):
+  value: Union[str, bytes, Path]
+
+  @model_serializer
+  def serialize_model(self):
+    if isinstance(self.value, (Path, bytes)):
+      return b64encode(self.value.read_bytes() if isinstance(self.value, Path) else self.value).decode()
+
+    if isinstance(self.value, str):
+      try:
+        if Path(self.value).exists():
+          return b64encode(Path(self.value).read_bytes()).decode()
+      except Exception:
+        # Long base64 string can't be wrapped in Path, so try to treat as base64 string
+        pass
+
+      # String might be a file path, but might not exist
+      if self.value.split('.')[-1] in ('png', 'jpg', 'jpeg', 'webp'):
+        raise ValueError(f'File {self.value} does not exist')
+
+      try:
+        # Try to decode to check if it's already base64
+        b64decode(self.value)
+        return self.value
+      except Exception:
+        raise ValueError('Invalid image data, expected base64 string or path to image file') from Exception
+
+
+class GenerateRequest(BaseGenerateRequest):
+  prompt: Optional[str] = None
+  'Prompt to generate response from.'
+
+  suffix: Optional[str] = None
+  'Suffix to append to the response.'
+
+  system: Optional[str] = None
+  'System prompt to prepend to the prompt.'
+
+  template: Optional[str] = None
+  'Template to use for the response.'
+
+  context: Optional[Sequence[int]] = None
+  'Tokenized history to use for the response.'
+
+  raw: Optional[bool] = None
+
+  images: Optional[Sequence[Image]] = None
+  'Image data for multimodal models.'
+
+
+class BaseGenerateResponse(SubscriptableBaseModel):
+  model: Optional[str] = None
+  'Model used to generate response.'
+
+  created_at: Optional[str] = None
+  'Time when the request was created.'
+
+  done: Optional[bool] = None
+  'True if response is complete, otherwise False. Useful for streaming to detect the final response.'
+
+  done_reason: Optional[str] = None
+  'Reason for completion. Only present when done is True.'
+
+  total_duration: Optional[int] = None
+  'Total duration in nanoseconds.'
+
+  load_duration: Optional[int] = None
+  'Load duration in nanoseconds.'
+
+  prompt_eval_count: Optional[int] = None
+  'Number of tokens evaluated in the prompt.'
+
+  prompt_eval_duration: Optional[int] = None
+  'Duration of evaluating the prompt in nanoseconds.'
+
+  eval_count: Optional[int] = None
+  'Number of tokens evaluated in inference.'
+
+  eval_duration: Optional[int] = None
+  'Duration of evaluating inference in nanoseconds.'
 
 
 class GenerateResponse(BaseGenerateResponse):
@@ -44,24 +246,24 @@ class GenerateResponse(BaseGenerateResponse):
   """
 
   response: str
-  "Response content. When streaming, this contains a fragment of the response."
+  'Response content. When streaming, this contains a fragment of the response.'
 
-  context: Sequence[int]
-  "Tokenized history up to the point of the response."
+  context: Optional[Sequence[int]] = None
+  'Tokenized history up to the point of the response.'
 
 
-class Message(TypedDict):
+class Message(SubscriptableBaseModel):
   """
   Chat message.
   """
 
-  role: Literal['user', 'assistant', 'system']
-  "Assumed role of the message. Response messages always has role 'assistant'."
+  role: Literal['user', 'assistant', 'system', 'tool']
+  "Assumed role of the message. Response messages has role 'assistant' or 'tool'."
 
-  content: str
-  "Content of the message. Response messages contains message fragments when streaming."
+  content: Optional[str] = None
+  'Content of the message. Response messages contains message fragments when streaming.'
 
-  images: NotRequired[Sequence[Any]]
+  images: Optional[Sequence[Image]] = None
   """
   Optional list of image data for multimodal models.
 
@@ -73,6 +275,62 @@ class Message(TypedDict):
   Valid image formats depend on the model. See the model card for more information.
   """
 
+  class ToolCall(SubscriptableBaseModel):
+    """
+    Model tool calls.
+    """
+
+    class Function(SubscriptableBaseModel):
+      """
+      Tool call function.
+      """
+
+      name: str
+      'Name of the function.'
+
+      arguments: Mapping[str, Any]
+      'Arguments of the function.'
+
+    function: Function
+    'Function to be called.'
+
+  tool_calls: Optional[Sequence[ToolCall]] = None
+  """
+  Tools calls to be made by the model.
+  """
+
+
+class Tool(SubscriptableBaseModel):
+  type: Optional[Literal['function']] = 'function'
+
+  class Function(SubscriptableBaseModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+
+    class Parameters(SubscriptableBaseModel):
+      type: Optional[Literal['object']] = 'object'
+      required: Optional[Sequence[str]] = None
+
+      class Property(SubscriptableBaseModel):
+        model_config = ConfigDict(arbitrary_types_allowed=True)
+
+        type: Optional[str] = None
+        description: Optional[str] = None
+
+      properties: Optional[Mapping[str, Property]] = None
+
+    parameters: Optional[Parameters] = None
+
+  function: Optional[Function] = None
+
+
+class ChatRequest(BaseGenerateRequest):
+  messages: Optional[Sequence[Union[Mapping[str, Any], Message]]] = None
+  'Messages to chat with.'
+
+  tools: Optional[Sequence[Tool]] = None
+  'Tools to use for the chat.'
+
 
 class ChatResponse(BaseGenerateResponse):
   """
@@ -80,53 +338,160 @@ class ChatResponse(BaseGenerateResponse):
   """
 
   message: Message
-  "Response message."
+  'Response message.'
 
 
-class ProgressResponse(TypedDict):
-  status: str
-  completed: int
-  total: int
-  digest: str
+class EmbedRequest(BaseRequest):
+  input: Union[str, Sequence[str]]
+  'Input text to embed.'
+
+  truncate: Optional[bool] = None
+  'Truncate the input to the maximum token length.'
+
+  options: Optional[Union[Mapping[str, Any], Options]] = None
+  'Options to use for the request.'
+
+  keep_alive: Optional[Union[float, str]] = None
 
 
-class Options(TypedDict, total=False):
-  # load time options
-  numa: bool
-  num_ctx: int
-  num_batch: int
-  num_gqa: int
-  num_gpu: int
-  main_gpu: int
-  low_vram: bool
-  f16_kv: bool
-  logits_all: bool
-  vocab_only: bool
-  use_mmap: bool
-  use_mlock: bool
-  embedding_only: bool
-  rope_frequency_base: float
-  rope_frequency_scale: float
-  num_thread: int
+class EmbedResponse(BaseGenerateResponse):
+  """
+  Response returned by embed requests.
+  """
 
-  # runtime options
-  num_keep: int
-  seed: int
-  num_predict: int
-  top_k: int
-  top_p: float
-  tfs_z: float
-  typical_p: float
-  repeat_last_n: int
-  temperature: float
-  repeat_penalty: float
-  presence_penalty: float
-  frequency_penalty: float
-  mirostat: int
-  mirostat_tau: float
-  mirostat_eta: float
-  penalize_newline: bool
-  stop: Sequence[str]
+  embeddings: Sequence[Sequence[float]]
+  'Embeddings of the inputs.'
+
+
+class EmbeddingsRequest(BaseRequest):
+  prompt: Optional[str] = None
+  'Prompt to generate embeddings from.'
+
+  options: Optional[Union[Mapping[str, Any], Options]] = None
+  'Options to use for the request.'
+
+  keep_alive: Optional[Union[float, str]] = None
+
+
+class EmbeddingsResponse(SubscriptableBaseModel):
+  """
+  Response returned by embeddings requests.
+  """
+
+  embedding: Sequence[float]
+  'Embedding of the prompt.'
+
+
+class PullRequest(BaseStreamableRequest):
+  """
+  Request to pull the model.
+  """
+
+  insecure: Optional[bool] = None
+  'Allow insecure (HTTP) connections.'
+
+
+class PushRequest(BaseStreamableRequest):
+  """
+  Request to pull the model.
+  """
+
+  insecure: Optional[bool] = None
+  'Allow insecure (HTTP) connections.'
+
+
+class CreateRequest(BaseStreamableRequest):
+  """
+  Request to create a new model.
+  """
+
+  modelfile: Optional[str] = None
+
+  quantize: Optional[str] = None
+
+
+class ModelDetails(SubscriptableBaseModel):
+  parent_model: Optional[str] = None
+  format: Optional[str] = None
+  family: Optional[str] = None
+  families: Optional[Sequence[str]] = None
+  parameter_size: Optional[str] = None
+  quantization_level: Optional[str] = None
+
+
+class ListResponse(SubscriptableBaseModel):
+  class Model(SubscriptableBaseModel):
+    model: Optional[str] = None
+    modified_at: Optional[datetime] = None
+    digest: Optional[str] = None
+    size: Optional[ByteSize] = None
+    details: Optional[ModelDetails] = None
+
+  models: Sequence[Model]
+  'List of models.'
+
+
+class DeleteRequest(BaseRequest):
+  """
+  Request to delete a model.
+  """
+
+
+class CopyRequest(BaseModel):
+  """
+  Request to copy a model.
+  """
+
+  source: str
+  'Source model to copy.'
+
+  destination: str
+  'Destination model to copy to.'
+
+
+class StatusResponse(SubscriptableBaseModel):
+  status: Optional[str] = None
+
+
+class ProgressResponse(StatusResponse):
+  completed: Optional[int] = None
+  total: Optional[int] = None
+  digest: Optional[str] = None
+
+
+class ShowRequest(BaseRequest):
+  """
+  Request to show model information.
+  """
+
+
+class ShowResponse(SubscriptableBaseModel):
+  modified_at: Optional[datetime] = None
+
+  template: Optional[str] = None
+
+  modelfile: Optional[str] = None
+
+  license: Optional[str] = None
+
+  details: Optional[ModelDetails] = None
+
+  modelinfo: Optional[Mapping[str, Any]] = Field(alias='model_info')
+
+  parameters: Optional[str] = None
+
+
+class ProcessResponse(SubscriptableBaseModel):
+  class Model(SubscriptableBaseModel):
+    model: Optional[str] = None
+    name: Optional[str] = None
+    digest: Optional[str] = None
+    expires_at: Optional[datetime] = None
+    size: Optional[ByteSize] = None
+    size_vram: Optional[ByteSize] = None
+    details: Optional[ModelDetails] = None
+
+  models: Sequence[Model]
 
 
 class RequestError(Exception):
@@ -134,10 +499,10 @@ class RequestError(Exception):
   Common class for request errors.
   """
 
-  def __init__(self, content: str):
-    super().__init__(content)
-    self.content = content
-    "Reason for the error."
+  def __init__(self, error: str):
+    super().__init__(error)
+    self.error = error
+    'Reason for the error.'
 
 
 class ResponseError(Exception):
@@ -145,17 +510,17 @@ class ResponseError(Exception):
   Common class for response errors.
   """
 
-  def __init__(self, content: str, status_code: int = -1):
+  def __init__(self, error: str, status_code: int = -1):
     try:
       # try to parse content as JSON and extract 'error'
       # fallback to raw content if JSON parsing fails
-      content = json.loads(content).get('error', content)
+      error = json.loads(error).get('error', error)
     except json.JSONDecodeError:
       ...
 
-    super().__init__(content)
-    self.content = content
-    "Reason for the error."
+    super().__init__(error)
+    self.error = error
+    'Reason for the error.'
 
     self.status_code = status_code
-    "HTTP status code of the response."
+    'HTTP status code of the response.'

ollama/_utils.py

@@ -0,0 +1,87 @@
+from __future__ import annotations
+from collections import defaultdict
+import inspect
+from typing import Callable, Union
+import re
+
+import pydantic
+from ollama._types import Tool
+
+
+def _parse_docstring(doc_string: Union[str, None]) -> dict[str, str]:
+  parsed_docstring = defaultdict(str)
+  if not doc_string:
+    return parsed_docstring
+
+  key = hash(doc_string)
+  for line in doc_string.splitlines():
+    lowered_line = line.lower().strip()
+    if lowered_line.startswith('args:'):
+      key = 'args'
+    elif lowered_line.startswith('returns:') or lowered_line.startswith('yields:') or lowered_line.startswith('raises:'):
+      key = '_'
+
+    else:
+      # maybe change to a list and join later
+      parsed_docstring[key] += f'{line.strip()}\n'
+
+  last_key = None
+  for line in parsed_docstring['args'].splitlines():
+    line = line.strip()
+    if ':' in line:
+      # Split the line on either:
+      # 1. A parenthetical expression like (integer) - captured in group 1
+      # 2. A colon :
+      # Followed by optional whitespace. Only split on first occurrence.
+      parts = re.split(r'(?:\(([^)]*)\)|:)\s*', line, maxsplit=1)
+
+      arg_name = parts[0].strip()
+      last_key = arg_name
+
+      # Get the description - will be in parts[1] if parenthetical or parts[-1] if after colon
+      arg_description = parts[-1].strip()
+      if len(parts) > 2 and parts[1]:  # Has parenthetical content
+        arg_description = parts[-1].split(':', 1)[-1].strip()
+
+      parsed_docstring[last_key] = arg_description
+
+    elif last_key and line:
+      parsed_docstring[last_key] += ' ' + line
+
+  return parsed_docstring
+
+
+def convert_function_to_tool(func: Callable) -> Tool:
+  doc_string_hash = hash(inspect.getdoc(func))
+  parsed_docstring = _parse_docstring(inspect.getdoc(func))
+  schema = type(
+    func.__name__,
+    (pydantic.BaseModel,),
+    {
+      '__annotations__': {k: v.annotation if v.annotation != inspect._empty else str for k, v in inspect.signature(func).parameters.items()},
+      '__signature__': inspect.signature(func),
+      '__doc__': parsed_docstring[doc_string_hash],
+    },
+  ).model_json_schema()
+
+  for k, v in schema.get('properties', {}).items():
+    # If type is missing, the default is string
+    types = {t.get('type', 'string') for t in v.get('anyOf')} if 'anyOf' in v else {v.get('type', 'string')}
+    if 'null' in types:
+      schema['required'].remove(k)
+      types.discard('null')
+
+    schema['properties'][k] = {
+      'description': parsed_docstring[k],
+      'type': ', '.join(types),
+    }
+
+  tool = Tool(
+    function=Tool.Function(
+      name=func.__name__,
+      description=schema.get('description', ''),
+      parameters=Tool.Function.Parameters(**schema),
+    )
+  )
+
+  return Tool.model_validate(tool)

poetry.lock

@@ -1,14 +1,28 @@
-# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "4.2.0"
+version = "4.5.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
-    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+    {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"},
+    {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"},
 ]
 
 [package.dependencies]
@@ -18,19 +32,19 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
@@ -46,63 +60,83 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.3.4"
+version = "7.6.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -113,13 +147,13 @@ toml = ["tomli"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -138,13 +172,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.2"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -155,17 +189,17 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.25.2"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -180,18 +214,22 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -205,175 +243,329 @@ files = [
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
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+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "8.3.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -381,25 +573,25 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+pluggy = ">=1.5,<2"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.23.2"
+version = "0.24.0"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.23.2.tar.gz", hash = "sha256:c16052382554c7b22d48782ab3438d5b10f8cf7a4bdcae7f0f67f097d95beecc"},
-    {file = "pytest_asyncio-0.23.2-py3-none-any.whl", hash = "sha256:ea9021364e32d58f0be43b91c6233fb8d2224ccef2398d6837559e587682808f"},
+    {file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"},
+    {file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=8.2,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
@@ -407,13 +599,13 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
-version = "4.1.0"
+version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
-    {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
+    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
+    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
 ]
 
 [package.dependencies]
@@ -421,17 +613,17 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-httpserver"
-version = "1.0.8"
+version = "1.1.0"
 description = "pytest-httpserver is a httpserver for pytest"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest_httpserver-1.0.8-py3-none-any.whl", hash = "sha256:24cd3d9f6a0b927c7bfc400d0b3fda7442721b8267ce29942bf307b190f0bb09"},
-    {file = "pytest_httpserver-1.0.8.tar.gz", hash = "sha256:e052f69bc8a9073db02484681e8e47004dd1fb3763b0ae833bd899e5895c559a"},
+    {file = "pytest_httpserver-1.1.0-py3-none-any.whl", hash = "sha256:7ef88be8ed3354b6784daa3daa75a422370327c634053cefb124903fa8d73a41"},
+    {file = "pytest_httpserver-1.1.0.tar.gz", hash = "sha256:6b1cb0199e2ed551b1b94d43f096863bbf6ae5bcd7c75c2c06845e5ce2dc8701"},
 ]
 
 [package.dependencies]
@@ -439,72 +631,73 @@ Werkzeug = ">=2.0.0"
 
 [[package]]
 name = "ruff"
-version = "0.1.8"
+version = "0.7.4"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "ruff-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff78a7583020da124dd0deb835ece1d87bb91762d40c514ee9b67a087940528b"},
-    {file = "ruff-0.1.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd8ee69b02e7bdefe1e5da2d5b6eaaddcf4f90859f00281b2333c0e3a0cc9cd6"},
-    {file = "ruff-0.1.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a05b0ddd7ea25495e4115a43125e8a7ebed0aa043c3d432de7e7d6e8e8cd6448"},
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+    {file = "ruff-0.7.4.tar.gz", hash = "sha256:cd12e35031f5af6b9b93715d8c4f40360070b2041f81273d0527683d5708fce2"},
 ]
 
 [[package]]
 name = "sniffio"
-version = "1.3.0"
+version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
-    {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
+    {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
+    {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
+    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.9.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
-    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
 name = "werkzeug"
-version = "3.0.1"
+version = "3.0.6"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
-    {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
+    {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"},
+    {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"},
 ]
 
 [package.dependencies]
@@ -516,4 +709,4 @@ watchdog = ["watchdog (>=2.3)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8"
-content-hash = "9416a897c95d3c80cf1bfd3cc61cd19f0143c9bd0bc7c219fcb31ee27c497c9d"
+content-hash = "61443e0ce98d3e24a45da6f9c890699fc44fe98cd191b0eb38e6b59093e8149d"

pyproject.toml

@@ -5,20 +5,21 @@ description = "The official Python client for Ollama."
 authors = ["Ollama <hello@ollama.com>"]
 license = "MIT"
 readme = "README.md"
-homepage = "https://ollama.ai"
-repository = "https://github.com/jmorganca/ollama-python"
+homepage = "https://ollama.com"
+repository = "https://github.com/ollama/ollama-python"
 
 [tool.poetry.dependencies]
 python = "^3.8"
-httpx = "^0.25.2"
+httpx = "^0.27.0"
+pydantic = "^2.9.0"
 
 [tool.poetry.group.dev.dependencies]
-pytest = "^7.4.3"
-pytest-asyncio = "^0.23.2"
-pytest-cov = "^4.1.0"
+pytest = ">=7.4.3,<9.0.0"
+pytest-asyncio = ">=0.23.2,<0.25.0"
+pytest-cov = ">=4.1,<6.0"
 pytest-httpserver = "^1.0.8"
-pillow = "^10.1.0"
-ruff = "^0.1.8"
+pillow = "^10.2.0"
+ruff = ">=0.1.8,<0.8.0"
 
 [build-system]
 requires = ["poetry-core"]

requirements.txt

@@ -1,27 +1,123 @@
-anyio==4.2.0 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee \
-    --hash=sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f
-certifi==2023.11.17 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1 \
-    --hash=sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474
-exceptiongroup==1.2.0 ; python_version >= "3.8" and python_version < "3.11" \
-    --hash=sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14 \
-    --hash=sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68
+annotated-types==0.7.0 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53 \
+    --hash=sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89
+anyio==4.5.2 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b \
+    --hash=sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f
+certifi==2024.8.30 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8 \
+    --hash=sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9
+exceptiongroup==1.2.2 ; python_version >= "3.8" and python_version < "3.11" \
+    --hash=sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b \
+    --hash=sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc
 h11==0.14.0 ; python_version >= "3.8" and python_version < "4.0" \
     --hash=sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d \
     --hash=sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761
-httpcore==1.0.2 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7 \
-    --hash=sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535
-httpx==0.25.2 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:8b8fcaa0c8ea7b05edd69a094e63a2094c4efcb48129fb757361bc423c0ad9e8 \
-    --hash=sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118
-idna==3.6 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca \
-    --hash=sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f
-sniffio==1.3.0 ; python_version >= "3.8" and python_version < "4.0" \
-    --hash=sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101 \
-    --hash=sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384
-typing-extensions==4.9.0 ; python_version >= "3.8" and python_version < "3.11" \
-    --hash=sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783 \
-    --hash=sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd
+httpcore==1.0.6 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f \
+    --hash=sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f
+httpx==0.27.2 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0 \
+    --hash=sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2
+idna==3.10 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
+    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
+pydantic-core==2.23.4 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36 \
+    --hash=sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05 \
+    --hash=sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071 \
+    --hash=sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327 \
+    --hash=sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c \
+    --hash=sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36 \
+    --hash=sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29 \
+    --hash=sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744 \
+    --hash=sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d \
+    --hash=sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec \
+    --hash=sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e \
+    --hash=sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e \
+    --hash=sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577 \
+    --hash=sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232 \
+    --hash=sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863 \
+    --hash=sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6 \
+    --hash=sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368 \
+    --hash=sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480 \
+    --hash=sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2 \
+    --hash=sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2 \
+    --hash=sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6 \
+    --hash=sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769 \
+    --hash=sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d \
+    --hash=sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2 \
+    --hash=sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84 \
+    --hash=sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166 \
+    --hash=sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271 \
+    --hash=sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5 \
+    --hash=sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb \
+    --hash=sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13 \
+    --hash=sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323 \
+    --hash=sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556 \
+    --hash=sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665 \
+    --hash=sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef \
+    --hash=sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb \
+    --hash=sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119 \
+    --hash=sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126 \
+    --hash=sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510 \
+    --hash=sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b \
+    --hash=sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87 \
+    --hash=sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f \
+    --hash=sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc \
+    --hash=sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8 \
+    --hash=sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21 \
+    --hash=sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f \
+    --hash=sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6 \
+    --hash=sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658 \
+    --hash=sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b \
+    --hash=sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3 \
+    --hash=sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb \
+    --hash=sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59 \
+    --hash=sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24 \
+    --hash=sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9 \
+    --hash=sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3 \
+    --hash=sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd \
+    --hash=sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753 \
+    --hash=sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55 \
+    --hash=sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad \
+    --hash=sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a \
+    --hash=sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605 \
+    --hash=sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e \
+    --hash=sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b \
+    --hash=sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433 \
+    --hash=sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8 \
+    --hash=sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07 \
+    --hash=sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728 \
+    --hash=sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0 \
+    --hash=sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327 \
+    --hash=sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555 \
+    --hash=sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64 \
+    --hash=sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6 \
+    --hash=sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea \
+    --hash=sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b \
+    --hash=sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df \
+    --hash=sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e \
+    --hash=sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd \
+    --hash=sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068 \
+    --hash=sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3 \
+    --hash=sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040 \
+    --hash=sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12 \
+    --hash=sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916 \
+    --hash=sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f \
+    --hash=sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f \
+    --hash=sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801 \
+    --hash=sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231 \
+    --hash=sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5 \
+    --hash=sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8 \
+    --hash=sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee \
+    --hash=sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607
+pydantic==2.9.2 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f \
+    --hash=sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12
+sniffio==1.3.1 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \
+    --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc
+typing-extensions==4.12.2 ; python_version >= "3.8" and python_version < "4.0" \
+    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
+    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8

tests/test_type_serialization.py

@@ -0,0 +1,54 @@
+from base64 import b64encode
+from pathlib import Path
+
+import pytest
+from ollama._types import Image
+import tempfile
+
+
+def test_image_serialization_bytes():
+  image_bytes = b'test image bytes'
+  encoded_string = b64encode(image_bytes).decode()
+  img = Image(value=image_bytes)
+  assert img.model_dump() == encoded_string
+
+
+def test_image_serialization_base64_string():
+  b64_str = 'dGVzdCBiYXNlNjQgc3RyaW5n'
+  img = Image(value=b64_str)
+  assert img.model_dump() == b64_str  # Should return as-is if valid base64
+
+
+def test_image_serialization_long_base64_string():
+  b64_str = 'dGVzdCBiYXNlNjQgc3RyaW5n' * 1000
+  img = Image(value=b64_str)
+  assert img.model_dump() == b64_str  # Should return as-is if valid base64
+
+
+def test_image_serialization_plain_string():
+  img = Image(value='not a path or base64')
+  assert img.model_dump() == 'not a path or base64'  # Should return as-is
+
+
+def test_image_serialization_path():
+  with tempfile.NamedTemporaryFile() as temp_file:
+    temp_file.write(b'test file content')
+    temp_file.flush()
+    img = Image(value=Path(temp_file.name))
+    assert img.model_dump() == b64encode(b'test file content').decode()
+
+
+def test_image_serialization_string_path():
+  with tempfile.NamedTemporaryFile() as temp_file:
+    temp_file.write(b'test file content')
+    temp_file.flush()
+    img = Image(value=temp_file.name)
+    assert img.model_dump() == b64encode(b'test file content').decode()
+
+  with pytest.raises(ValueError):
+    img = Image(value='some_path/that/does/not/exist.png')
+    img.model_dump()
+
+  with pytest.raises(ValueError):
+    img = Image(value='not an image')
+    img.model_dump()

tests/test_utils.py

@@ -0,0 +1,270 @@
+import json
+import sys
+from typing import Dict, List, Mapping, Sequence, Set, Tuple, Union
+
+
+from ollama._utils import convert_function_to_tool
+
+
+def test_function_to_tool_conversion():
+  def add_numbers(x: int, y: Union[int, None] = None) -> int:
+    """Add two numbers together.
+    args:
+        x (integer): The first number
+        y (integer, optional): The second number
+
+    Returns:
+        integer: The sum of x and y
+    """
+    return x + y
+
+  tool = convert_function_to_tool(add_numbers).model_dump()
+
+  assert tool['type'] == 'function'
+  assert tool['function']['name'] == 'add_numbers'
+  assert tool['function']['description'] == 'Add two numbers together.'
+  assert tool['function']['parameters']['type'] == 'object'
+  assert tool['function']['parameters']['properties']['x']['type'] == 'integer'
+  assert tool['function']['parameters']['properties']['x']['description'] == 'The first number'
+  assert tool['function']['parameters']['required'] == ['x']
+
+
+def test_function_with_no_args():
+  def simple_func():
+    """
+    A simple function with no arguments.
+    Args:
+        None
+    Returns:
+        None
+    """
+    pass
+
+  tool = convert_function_to_tool(simple_func).model_dump()
+  assert tool['function']['name'] == 'simple_func'
+  assert tool['function']['description'] == 'A simple function with no arguments.'
+  assert tool['function']['parameters']['properties'] == {}
+
+
+def test_function_with_all_types():
+  if sys.version_info >= (3, 10):
+
+    def all_types(
+      x: int,
+      y: str,
+      z: list[int],
+      w: dict[str, int],
+      v: int | str | None,
+    ) -> int | dict[str, int] | str | list[int] | None:
+      """
+      A function with all types.
+      Args:
+          x (integer): The first number
+          y (string): The second number
+          z (array): The third number
+          w (object): The fourth number
+          v (integer | string | None): The fifth number
+      """
+      pass
+  else:
+
+    def all_types(
+      x: int,
+      y: str,
+      z: Sequence,
+      w: Mapping[str, int],
+      d: Dict[str, int],
+      s: Set[int],
+      t: Tuple[int, str],
+      l: List[int],  # noqa: E741
+      o: Union[int, None],
+    ) -> Union[Mapping[str, int], str, None]:
+      """
+      A function with all types.
+      Args:
+          x (integer): The first number
+          y (string): The second number
+          z (array): The third number
+          w (object): The fourth number
+          d (object): The fifth number
+          s (array): The sixth number
+          t (array): The seventh number
+          l (array): The eighth number
+          o (integer | None): The ninth number
+      """
+      pass
+
+  tool_json = convert_function_to_tool(all_types).model_dump_json()
+  tool = json.loads(tool_json)
+  assert tool['function']['parameters']['properties']['x']['type'] == 'integer'
+  assert tool['function']['parameters']['properties']['y']['type'] == 'string'
+
+  if sys.version_info >= (3, 10):
+    assert tool['function']['parameters']['properties']['z']['type'] == 'array'
+    assert tool['function']['parameters']['properties']['w']['type'] == 'object'
+    assert set(x.strip().strip("'") for x in tool['function']['parameters']['properties']['v']['type'].removeprefix('[').removesuffix(']').split(',')) == {'string', 'integer'}
+    assert tool['function']['parameters']['properties']['v']['type'] != 'null'
+    assert tool['function']['parameters']['required'] == ['x', 'y', 'z', 'w']
+  else:
+    assert tool['function']['parameters']['properties']['z']['type'] == 'array'
+    assert tool['function']['parameters']['properties']['w']['type'] == 'object'
+    assert tool['function']['parameters']['properties']['d']['type'] == 'object'
+    assert tool['function']['parameters']['properties']['s']['type'] == 'array'
+    assert tool['function']['parameters']['properties']['t']['type'] == 'array'
+    assert tool['function']['parameters']['properties']['l']['type'] == 'array'
+    assert tool['function']['parameters']['properties']['o']['type'] == 'integer'
+    assert tool['function']['parameters']['properties']['o']['type'] != 'null'
+    assert tool['function']['parameters']['required'] == ['x', 'y', 'z', 'w', 'd', 's', 't', 'l']
+
+
+def test_function_docstring_parsing():
+  from typing import List, Dict, Any
+
+  def func_with_complex_docs(x: int, y: List[str]) -> Dict[str, Any]:
+    """
+    Test function with complex docstring.
+
+    Args:
+        x (integer): A number
+            with multiple lines
+        y (array of string): A list
+            with multiple lines
+
+    Returns:
+        object: A dictionary
+            with multiple lines
+    """
+    pass
+
+  tool = convert_function_to_tool(func_with_complex_docs).model_dump()
+  assert tool['function']['description'] == 'Test function with complex docstring.'
+  assert tool['function']['parameters']['properties']['x']['description'] == 'A number with multiple lines'
+  assert tool['function']['parameters']['properties']['y']['description'] == 'A list with multiple lines'
+
+
+def test_skewed_docstring_parsing():
+  def add_two_numbers(x: int, y: int) -> int:
+    """
+    Add two numbers together.
+    Args:
+        x (integer): : The first number
+
+
+
+
+        y (integer ): The second number
+    Returns:
+        integer: The sum of x and y
+    """
+    pass
+
+  tool = convert_function_to_tool(add_two_numbers).model_dump()
+  assert tool['function']['parameters']['properties']['x']['description'] == ': The first number'
+  assert tool['function']['parameters']['properties']['y']['description'] == 'The second number'
+
+
+def test_function_with_no_docstring():
+  def no_docstring():
+    pass
+
+  def no_docstring_with_args(x: int, y: int):
+    pass
+
+  tool = convert_function_to_tool(no_docstring).model_dump()
+  assert tool['function']['description'] == ''
+
+  tool = convert_function_to_tool(no_docstring_with_args).model_dump()
+  assert tool['function']['description'] == ''
+  assert tool['function']['parameters']['properties']['x']['description'] == ''
+  assert tool['function']['parameters']['properties']['y']['description'] == ''
+
+
+def test_function_with_only_description():
+  def only_description():
+    """
+    A function with only a description.
+    """
+    pass
+
+  tool = convert_function_to_tool(only_description).model_dump()
+  assert tool['function']['description'] == 'A function with only a description.'
+  assert tool['function']['parameters'] == {'type': 'object', 'properties': {}, 'required': None}
+
+  def only_description_with_args(x: int, y: int):
+    """
+    A function with only a description.
+    """
+    pass
+
+  tool = convert_function_to_tool(only_description_with_args).model_dump()
+  assert tool['function']['description'] == 'A function with only a description.'
+  assert tool['function']['parameters'] == {
+    'type': 'object',
+    'properties': {
+      'x': {'type': 'integer', 'description': ''},
+      'y': {'type': 'integer', 'description': ''},
+    },
+    'required': ['x', 'y'],
+  }
+
+
+def test_function_with_yields():
+  def function_with_yields(x: int, y: int):
+    """
+    A function with yields section.
+
+    Args:
+      x: the first number
+      y: the second number
+
+    Yields:
+      The sum of x and y
+    """
+    pass
+
+  tool = convert_function_to_tool(function_with_yields).model_dump()
+  assert tool['function']['description'] == 'A function with yields section.'
+  assert tool['function']['parameters']['properties']['x']['description'] == 'the first number'
+  assert tool['function']['parameters']['properties']['y']['description'] == 'the second number'
+
+
+def test_function_with_no_types():
+  def no_types(a, b):
+    """
+    A function with no types.
+    """
+    pass
+
+  tool = convert_function_to_tool(no_types).model_dump()
+  assert tool['function']['parameters']['properties']['a']['type'] == 'string'
+  assert tool['function']['parameters']['properties']['b']['type'] == 'string'
+
+
+def test_function_with_parentheses():
+  def func_with_parentheses(a: int, b: int) -> int:
+    """
+    A function with parentheses.
+    Args:
+        a: First (:thing) number to add
+        b: Second number to add
+    Returns:
+        int: The sum of a and b
+    """
+    pass
+
+  def func_with_parentheses_and_args(a: int, b: int):
+    """
+    A function with parentheses and args.
+    Args:
+        a(integer) : First (:thing) number to add
+        b(integer) :Second number to add
+    """
+    pass
+
+  tool = convert_function_to_tool(func_with_parentheses).model_dump()
+  assert tool['function']['parameters']['properties']['a']['description'] == 'First (:thing) number to add'
+  assert tool['function']['parameters']['properties']['b']['description'] == 'Second number to add'
+
+  tool = convert_function_to_tool(func_with_parentheses_and_args).model_dump()
+  assert tool['function']['parameters']['properties']['a']['description'] == 'First (:thing) number to add'
+  assert tool['function']['parameters']['properties']['b']['description'] == 'Second number to add'