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
Metadata
1 maintainer
Release files for opensymbolicai-core 0.8.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| opensymbolicai_core-0.8.0.tar.gz | 105.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opensymbolicai_core-0.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.2 kB
Release files / opensymbolicai_core-0.8.0.tar.gz
| Download URL | opensymbolicai_core-0.8.0.tar.gz |
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| Size | 105.4 kB |
| Tags | Source |
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| Download URL | opensymbolicai_core-0.8.0-py3-none-any.whl |
|---|---|
| Size | 67.8 kB |
| Tags | Python 3 |
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