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Summary:
LangChain integration for the Ejentum Reasoning Harness. Eight BaseTool subclasses: four dynamic (reasoning, code, anti-deception, memory) and four adaptive (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the operation to the task via an adapter LLM. Each call returns a structured cognitive injection: a natural-language procedure plus an executable reasoning topology.
Latest version:
0.2.0
Required dependencies:
langchain-core
|
pydantic
|
requests
Optional dependencies:
build
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pytest
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pytest-cov
|
ruff
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