Our primary goal is to provide easy-to-use and clean implementations of popular LLM-based agent methods: an encyclopedia! This library is one of our contributions for our research project empirically surveying and investigating the performance of these methods across a diverse set of reasoning/decision-making tasks. Learn more about this here!
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Easy-to-Use Interface: Provides intuitive and user-friendly functions for rapid prototyping and development.
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Clean Functions: Offers clean and well-structured functions, promoting readability and maintainability of code.
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Modularized Implementations: Includes modularized implementations of popular LLM-based agents and agent-related methods, allowing users to leverage cutting-edge innovations from the literature.
First, install the library with pip:
pip install agential
Next, let's query the ReActAgent!
question = 'Who was once considered the best kick boxer in the world, however he has been involved in a number of controversies relating to his "unsportsmanlike conducts" in the sport and crimes of violence outside of the ring?'
llm = ChatOpenAI(openai_api_key="YOUR_API_KEY")
agent = ReActAgent(llm=llm)
out = agent.generate(question=question)├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── agential <- Source code for this project.
│ ├── cog
│ │ ├── agent <- Model/agent-related modules.
│ │ │
│ │ ├── eval <- Agent core modules.
│ │ │
│ │ ├── functional
│ │ │
│ │ ├── modules
│ │ │ ├── memory <- Memory-related modules.
│ │ │ ├── plan <- Planning-related modules.
│ │ │ ├── reflect <- Reflecting-related modules.
│ │ │ └── score <- Scoring-related modules.
│ │ │
│ │ ├── persona
│ │ │
│ │ └── prompts
│ │
│ └── utils <- Utility methods.
│
├── docs <- An mkdocs project.
│
├── models <- Trained and serialized models, model predictions,
│ or model summaries.
│
├── notebooks <- Jupyter notebooks. Naming convention is a number
│ (for ordering), the creator's initials, and a short `-` delimited │ description, e.g. `1.0-jqp-initial-data-exploration`.
│
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting.
│
└── tests <- Tests.
If you want to contribute, please check the contributing.md for guidelines!