<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for hyperplane-eval</title>
    <link>https://pypi.org/project/hyperplane-eval/</link>
    <description>Recent updates to the Python Package Index for hyperplane-eval</description>
    <language>en</language>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.14/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Wed, 17 Jun 2026 12:00:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.13/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Wed, 17 Jun 2026 11:12:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.12/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Wed, 17 Jun 2026 11:04:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.11/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 23:18:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.10/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 22:58:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.9/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 22:42:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.8/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 22:31:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.7/</link>
      <description>Local tool to evaluate AI agents and find their weak points. </description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 22:03:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.6/</link>
      <description>A modular framework for evaluating and verifying agentic LLM outputs.</description>
<author>marten@aquithm.com</author>      <pubDate>Tue, 16 Jun 2026 21:14:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.5/</link>
      <description>A modular framework for evaluating and verifying agentic LLM outputs.</description>
<author>marten@aquithm.com</author>      <pubDate>Mon, 15 Jun 2026 23:03:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.4/</link>
      <description>A modular framework for evaluating and verifying agentic LLM outputs.</description>
<author>marten@aquithm.com</author>      <pubDate>Mon, 15 Jun 2026 13:00:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.3/</link>
      <description>A modular framework for evaluating and verifying agentic LLM outputs.</description>
<author>marten@aquithm.com</author>      <pubDate>Mon, 15 Jun 2026 12:48:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/hyperplane-eval/0.1.2/</link>
      <description>A modular framework for evaluating and verifying agentic LLM outputs.</description>
<author>marten@aquithm.com</author>      <pubDate>Mon, 15 Jun 2026 12:36:30 GMT</pubDate>
    </item>  </channel>
</rss>