Ollama:Python
lastmod 2025-04-11created 2025-03-295 edits
Ollama Python Library
Examples
- AutoGen#Ollama Coding Example - How to connect Ollama in AutoGen
REST API Spec
Passing Python functions as tools
- Ollama Python library 0.4 with function calling improvements · Ollama Blog
- styleguide | Style guides for Google-originated open-source projects
First, define a regular Python function. For better results, annotate the parameter and return value types, and optionally add a Google-style docstring .
def add_two_numbers(a: int, b: int) -> int:
"""
Add two numbers
Args:
a: The first integer number
b: The second integer number
Returns:
int: The sum of the two numbers
"""
return a + b
Next, pass the function as a tool to Ollama using the tools field.
import ollama
response = ollama.chat(
'llama3.1',
messages=[{'role': 'user', 'content': 'What is 10 + 10?'}],
tools=[add_two_numbers], # Actual function reference
)
Use the returned tool call and arguments provided by the model to call the corresponding function.
available_functions = {
'add_two_numbers': add_two_numbers,
}
for tool in response.message.tool_calls or []:
function_to_call = available_functions.get(tool.function.name)
if function_to_call:
print('Function output:', function_to_call(**tool.function.arguments))
else:
print('Function not found:', tool.function.name)
Troubleshooting
pydantic_core._pydantic_core.ValidationError: 1 validation error for ShowResponse
pydantic_core._pydantic_core.ValidationError: 1 validation error for ShowResponse
model_info
Field required [type=missing, input_value={'modelfile': '# Modelfil...ization_level': 'Q8_0'}}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.11/v/missing