https://pypi.org/project/gepa/ Recent updates to the Python Package Index for gepa en https://pypi.org/project/gepa/0.1.1/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 16 Mar 2026 10:17:51 GMT https://pypi.org/project/gepa/0.1.0/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Thu, 19 Feb 2026 19:43:07 GMT https://pypi.org/project/gepa/0.0.27/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Wed, 28 Jan 2026 00:33:50 GMT https://pypi.org/project/gepa/0.0.26/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sat, 24 Jan 2026 18:11:16 GMT https://pypi.org/project/gepa/0.0.25/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Tue, 20 Jan 2026 20:43:48 GMT https://pypi.org/project/gepa/0.0.24/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 05 Jan 2026 16:45:29 GMT https://pypi.org/project/gepa/0.0.23/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sun, 28 Dec 2025 20:17:19 GMT https://pypi.org/project/gepa/0.0.22/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 10 Nov 2025 21:39:26 GMT https://pypi.org/project/gepa/0.0.21/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sat, 08 Nov 2025 23:01:07 GMT https://pypi.org/project/gepa/0.0.20/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Fri, 07 Nov 2025 06:19:57 GMT https://pypi.org/project/gepa/0.0.19/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Tue, 04 Nov 2025 06:25:30 GMT https://pypi.org/project/gepa/0.0.18/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sat, 25 Oct 2025 02:34:24 GMT https://pypi.org/project/gepa/0.0.17/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Thu, 25 Sep 2025 22:13:44 GMT https://pypi.org/project/gepa/0.0.16/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Wed, 24 Sep 2025 00:35:28 GMT https://pypi.org/project/gepa/0.0.15a1/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Wed, 24 Sep 2025 00:31:45 GMT https://pypi.org/project/gepa/0.0.14/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 22 Sep 2025 08:10:28 GMT https://pypi.org/project/gepa/0.0.13/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 22 Sep 2025 07:35:55 GMT https://pypi.org/project/gepa/0.0.12/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Tue, 09 Sep 2025 01:36:20 GMT https://pypi.org/project/gepa/0.0.11/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Tue, 09 Sep 2025 00:40:06 GMT https://pypi.org/project/gepa/0.0.10/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Fri, 05 Sep 2025 20:50:44 GMT https://pypi.org/project/gepa/0.0.9/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Fri, 05 Sep 2025 14:40:04 GMT https://pypi.org/project/gepa/0.0.8/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Wed, 03 Sep 2025 01:55:54 GMT https://pypi.org/project/gepa/0.0.7/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 25 Aug 2025 03:46:40 GMT https://pypi.org/project/gepa/0.0.6/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 25 Aug 2025 03:23:52 GMT https://pypi.org/project/gepa/0.0.6a3/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 25 Aug 2025 03:20:27 GMT https://pypi.org/project/gepa/0.0.6a2/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 25 Aug 2025 03:16:11 GMT https://pypi.org/project/gepa/0.0.6a1/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 25 Aug 2025 03:01:34 GMT https://pypi.org/project/gepa/0.0.5rc1/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sun, 24 Aug 2025 16:32:02 GMT https://pypi.org/project/gepa/0.0.5a13/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Sun, 24 Aug 2025 01:13:28 GMT https://pypi.org/project/gepa/0.0.4/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Thu, 14 Aug 2025 05:08:35 GMT https://pypi.org/project/gepa/0.0.3/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Thu, 14 Aug 2025 02:17:37 GMT https://pypi.org/project/gepa/0.0.2/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Tue, 12 Aug 2025 02:26:47 GMT https://pypi.org/project/gepa/0.0.1/ A framework for optimizing textual system components (AI prompts, code snippets, etc.) using LLM-based reflection and Pareto-efficient evolutionary search. lakshyaaagrawal@berkeley.edu Mon, 11 Aug 2025 10:05:16 GMT