OpenSymbolicAI Core
Build LLM-powered systems as typed, testable Python software — not prompt strings.
The LLM plans once over your primitive signatures; execution is deterministic Python with no model in the loop. Inputs and outputs are typed variables.
Install
pip install opensymbolicai-core
Example
from opensymbolicai import PlanExecute, primitive, decomposition
class Calculator(PlanExecute):
@primitive(read_only=True)
def add(self, a: float, b: float) -> float:
"""Add two numbers."""
return a + b
@decomposition(intent="What is 2 + 3?")
def _example(self) -> float:
return self.add(a=2, b=3)
Documentation
Full docs, examples, benchmarks, and architecture: https://github.com/OpenSymbolicAI/core-py
License
MIT
1 maintainer
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