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README.md

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# LLM Change Agent
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[![DOI](https://zenodo.org/badge/841604583.svg)](https://zenodo.org/doi/10.5281/zenodo.13693477)
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## Overview
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LLM Change Agent is a command-line tool designed to interact with various large language models from different providers. It generates [KGCL commands](https://github.com/INCATools/kgcl/blob/main/src/data/examples/examples.yaml) using specified models and providers via prompts. Prompts could be GitHub issue description/comments.
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LLM Change Agent is a command-line tool designed to generate knowledge graph change language (KGCL) commands that request changes in a knowledge graph such as an ontology.
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It generates [KGCL commands](https://github.com/INCATools/kgcl/blob/main/src/data/examples/examples.yaml) using specified large language models and providers via prompts.
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The prompts can be GitHub issue description/comments or natural language text.
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## Features
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- Given a prompt relevant to making ontology resource changes, the agent responds with KGCL change statements.
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- Supports OpenAI, Ollama, Anthropic and CBORG (LBNL hosted) models.
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- Supports OpenAI, Ollama, Anthropic and CBORG (LBNL-hosted) models.
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**:warning:** OpenAI, Anthropic and CBORG model use are subject to availability of corresponding keys as environment variables locally.
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**:warning:** OpenAI, Anthropic and CBORG model use require availability of corresponding keys as environment variables locally.
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## Installation
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To install the dependencies, run:
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- [PATO](src/llm_change_agent/evaluations/input/expected/pato_ontology_pato.yaml)
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### Actual results
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The actual results for some of the LLM models evaluated can be fount [here](src/llm_change_agent/evaluations/output/) and corresponding metrics [here](src/llm_change_agent/evaluations/output/metrics.yaml)
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The actual results for some of the LLM models evaluated are [here](src/llm_change_agent/evaluations/output/) and corresponding metrics [here](src/llm_change_agent/evaluations/output/metrics.yaml)
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## Development
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To run the project locally, clone the repository and navigate to the project directory:

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