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Agent-Log

Overview

Agent-Log is a framework aiming to make agents more aware of their enviroment through the explicit modeling of pre and post effects. The approach is inspired by logic-based AI theory such as the "AI Frame Problem".

Repository Overview

This repository implements the Agent-Log framework, providing utility methods that are usable across agentic workflows. Specifically, the following are included:

  • Prompt template to ellicit change-logs
  • Pre-defined change-log template
    • Currently supports JSON. Future temoplates could include: XML, git diff based
  • Extraction methods to decompose set of change-logs from output response to structured objects
  • Evaluation or sanity check methods for change-logs

Release files for agentic-change-log 0.1.0

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Source distribution (sdist)

Source distribution for agentic-change-log 0.1.0
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agentic_change_log-0.1.0.tar.gz 5.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for agentic-change-log 0.1.0
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agentic_change_log-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 14.0 kB

Release files / agentic_change_log-0.1.0.tar.gz

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Release files / agentic_change_log-0.1.0-py3-none-any.whl

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0.1.0 This release

2 release files

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