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    <title>PyPI recent updates for kalibr</title>
    <link>https://pypi.org/project/kalibr/</link>
    <description>Recent updates to the Python Package Index for kalibr</description>
    <language>en</language>    <item>
      <title>1.12.1</title>
      <link>https://pypi.org/project/kalibr/1.12.1/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 01 May 2026 00:47:36 GMT</pubDate>
    </item>    <item>
      <title>1.11.8</title>
      <link>https://pypi.org/project/kalibr/1.11.8/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 29 Apr 2026 12:13:08 GMT</pubDate>
    </item>    <item>
      <title>1.11.7</title>
      <link>https://pypi.org/project/kalibr/1.11.7/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Mon, 27 Apr 2026 20:59:36 GMT</pubDate>
    </item>    <item>
      <title>1.11.6</title>
      <link>https://pypi.org/project/kalibr/1.11.6/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 24 Apr 2026 01:09:54 GMT</pubDate>
    </item>    <item>
      <title>1.11.5</title>
      <link>https://pypi.org/project/kalibr/1.11.5/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Thu, 23 Apr 2026 23:04:56 GMT</pubDate>
    </item>    <item>
      <title>1.11.4</title>
      <link>https://pypi.org/project/kalibr/1.11.4/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Thu, 23 Apr 2026 22:58:59 GMT</pubDate>
    </item>    <item>
      <title>1.11.2</title>
      <link>https://pypi.org/project/kalibr/1.11.2/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Thu, 23 Apr 2026 21:44:01 GMT</pubDate>
    </item>    <item>
      <title>1.11.1</title>
      <link>https://pypi.org/project/kalibr/1.11.1/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Thu, 23 Apr 2026 21:04:56 GMT</pubDate>
    </item>    <item>
      <title>1.11.0</title>
      <link>https://pypi.org/project/kalibr/1.11.0/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Thu, 23 Apr 2026 00:29:00 GMT</pubDate>
    </item>    <item>
      <title>1.10.0</title>
      <link>https://pypi.org/project/kalibr/1.10.0/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 07 Apr 2026 13:36:52 GMT</pubDate>
    </item>    <item>
      <title>1.9.8</title>
      <link>https://pypi.org/project/kalibr/1.9.8/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 04 Apr 2026 14:23:47 GMT</pubDate>
    </item>    <item>
      <title>1.9.7</title>
      <link>https://pypi.org/project/kalibr/1.9.7/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 04 Apr 2026 03:51:54 GMT</pubDate>
    </item>    <item>
      <title>1.9.6</title>
      <link>https://pypi.org/project/kalibr/1.9.6/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 03 Apr 2026 23:10:44 GMT</pubDate>
    </item>    <item>
      <title>1.9.5</title>
      <link>https://pypi.org/project/kalibr/1.9.5/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 03 Apr 2026 23:07:26 GMT</pubDate>
    </item>    <item>
      <title>1.9.4</title>
      <link>https://pypi.org/project/kalibr/1.9.4/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 31 Mar 2026 03:02:48 GMT</pubDate>
    </item>    <item>
      <title>1.9.3</title>
      <link>https://pypi.org/project/kalibr/1.9.3/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Sun, 29 Mar 2026 15:14:05 GMT</pubDate>
    </item>    <item>
      <title>1.9.2</title>
      <link>https://pypi.org/project/kalibr/1.9.2/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Sun, 29 Mar 2026 03:08:56 GMT</pubDate>
    </item>    <item>
      <title>1.9.1</title>
      <link>https://pypi.org/project/kalibr/1.9.1/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Sun, 29 Mar 2026 02:58:44 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/kalibr/1.9.0/</link>
      <description>Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 27 Mar 2026 01:04:24 GMT</pubDate>
    </item>    <item>
      <title>1.8.0</title>
      <link>https://pypi.org/project/kalibr/1.8.0/</link>
      <description>Ship agents that fix themselves. Outcome-aware routing for production AI agents.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 24 Mar 2026 05:48:46 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/kalibr/1.7.0/</link>
      <description>Ship agents that fix themselves. Outcome-aware routing for production AI agents.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 24 Mar 2026 01:49:54 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/kalibr/1.6.0/</link>
      <description>Ship agents that fix themselves. Outcome-aware routing for production AI agents.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 06 Mar 2026 02:04:49 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/kalibr/1.5.0/</link>
      <description>Ship agents that fix themselves. Outcome-aware routing for production AI agents.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 04 Mar 2026 14:55:46 GMT</pubDate>
    </item>    <item>
      <title>1.4.3</title>
      <link>https://pypi.org/project/kalibr/1.4.3/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 04 Feb 2026 21:54:22 GMT</pubDate>
    </item>    <item>
      <title>1.4.2</title>
      <link>https://pypi.org/project/kalibr/1.4.2/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 04 Feb 2026 20:58:35 GMT</pubDate>
    </item>    <item>
      <title>1.4.1</title>
      <link>https://pypi.org/project/kalibr/1.4.1/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 04 Feb 2026 20:39:56 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/kalibr/1.4.0/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Mon, 02 Feb 2026 23:59:17 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/kalibr/1.3.0/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 27 Jan 2026 16:18:14 GMT</pubDate>
    </item>    <item>
      <title>1.2.11</title>
      <link>https://pypi.org/project/kalibr/1.2.11/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Mon, 26 Jan 2026 21:01:30 GMT</pubDate>
    </item>    <item>
      <title>1.2.10</title>
      <link>https://pypi.org/project/kalibr/1.2.10/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Sun, 25 Jan 2026 19:51:35 GMT</pubDate>
    </item>    <item>
      <title>1.2.9</title>
      <link>https://pypi.org/project/kalibr/1.2.9/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Sun, 25 Jan 2026 02:44:06 GMT</pubDate>
    </item>    <item>
      <title>1.2.8</title>
      <link>https://pypi.org/project/kalibr/1.2.8/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 24 Jan 2026 04:05:02 GMT</pubDate>
    </item>    <item>
      <title>1.2.7</title>
      <link>https://pypi.org/project/kalibr/1.2.7/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Fri, 16 Jan 2026 02:33:57 GMT</pubDate>
    </item>    <item>
      <title>1.2.6</title>
      <link>https://pypi.org/project/kalibr/1.2.6/</link>
      <description>Adaptive routing for AI agents. Learns which models work best and routes automatically.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 14 Jan 2026 00:38:49 GMT</pubDate>
    </item>    <item>
      <title>1.2.5</title>
      <link>https://pypi.org/project/kalibr/1.2.5/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 14 Jan 2026 00:03:00 GMT</pubDate>
    </item>    <item>
      <title>1.2.4</title>
      <link>https://pypi.org/project/kalibr/1.2.4/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Tue, 13 Jan 2026 20:45:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.3</title>
      <link>https://pypi.org/project/kalibr/1.2.3/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 10 Jan 2026 02:56:22 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/kalibr/1.2.2/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 10 Jan 2026 01:11:10 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/kalibr/1.2.1/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Sat, 10 Jan 2026 00:29:26 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/kalibr/1.2.0/</link>
      <description>Unified LLM Observability &amp; Multi-Model AI Integration Framework - Deploy to GPT, Claude, Gemini, Copilot with full telemetry.</description>
<author>support@kalibr.systems</author>      <pubDate>Wed, 24 Dec 2025 00:50:05 GMT</pubDate>
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