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+Metadata-Version: 2.1
+Name: ollama
+Version: 0.3.3
+Summary: The official Python client for Ollama.
+Home-page: https://ollama.ai
+License: MIT
+Author: Ollama
+Author-email: hello@ollama.com
+Requires-Python: >=3.8,<4.0
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Requires-Dist: httpx (>=0.27.0,<0.28.0)
+Project-URL: Repository, https://github.com/jmorganca/ollama-python
+Description-Content-Type: text/markdown
+
+# Ollama Python Library
+
+The Ollama Python library provides the easiest way to integrate Python 3.8+ projects with [Ollama](https://github.com/ollama/ollama).
+
+## Install
+
+```sh
+pip install ollama
+```
+
+## Usage
+
+```python
+import ollama
+response = ollama.chat(model='llama3.1', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
+print(response['message']['content'])
+```
+
+## Streaming responses
+
+Response streaming can be enabled by setting `stream=True`, modifying function calls to return a Python generator where each part is an object in the stream.
+
+```python
+import ollama
+
+stream = ollama.chat(
+    model='llama3.1',
+    messages=[{'role': 'user', 'content': 'Why is the sky blue?'}],
+    stream=True,
+)
+
+for chunk in stream:
+  print(chunk['message']['content'], end='', flush=True)
+```
+
+## 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='llama3.1', messages=[{'role': 'user', 'content': 'Why is the sky blue?'}])
+```
+
+### Generate
+
+```python
+ollama.generate(model='llama3.1', prompt='Why is the sky blue?')
+```
+
+### List
+
+```python
+ollama.list()
+```
+
+### Show
+
+```python
+ollama.show('llama3.1')
+```
+
+### Create
+
+```python
+modelfile='''
+FROM llama3.1
+SYSTEM You are mario from super mario bros.
+'''
+
+ollama.create(model='example', modelfile=modelfile)
+```
+
+### Copy
+
+```python
+ollama.copy('llama3.1', 'user/llama3.1')
+```
+
+### Delete
+
+```python
+ollama.delete('llama3.1')
+```
+
+### Pull
+
+```python
+ollama.pull('llama3.1')
+```
+
+### Push
+
+```python
+ollama.push('user/llama3.1')
+```
+
+### Embeddings
+
+```python
+ollama.embeddings(model='llama3.1', prompt='The sky is blue because of rayleigh scattering')
+```
+
+### Ps
+
+```python
+ollama.ps()
+```
+
+## Custom client
+
+A custom client can be created with the following fields:
+
+- `host`: The Ollama host to connect to
+- `timeout`: The timeout for requests
+
+```python
+from ollama import Client
+client = Client(host='http://localhost:11434')
+response = client.chat(model='llama3.1', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
+```
+
+## Async client
+
+```python
+import asyncio
+from ollama import AsyncClient
+
+async def chat():
+  message = {'role': 'user', 'content': 'Why is the sky blue?'}
+  response = await AsyncClient().chat(model='llama3.1', messages=[message])
+
+asyncio.run(chat())
+```
+
+Setting `stream=True` modifies functions to return a Python asynchronous generator:
+
+```python
+import asyncio
+from ollama import AsyncClient
+
+async def chat():
+  message = {'role': 'user', 'content': 'Why is the sky blue?'}
+  async for part in await AsyncClient().chat(model='llama3.1', messages=[message], stream=True):
+    print(part['message']['content'], end='', flush=True)
+
+asyncio.run(chat())
+```
+
+## Errors
+
+Errors are raised if requests return an error status or if an error is detected while streaming.
+
+```python
+model = 'does-not-yet-exist'
+
+try:
+  ollama.chat(model)
+except ollama.ResponseError as e:
+  print('Error:', e.error)
+  if e.status_code == 404:
+    ollama.pull(model)
+```
+