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Title: GitHub - SuperCodeTool/gepa: Optimize prompts, code, and more with AI-powered Reflective Text Evolution

Open Graph Title: GitHub - SuperCodeTool/gepa: Optimize prompts, code, and more with AI-powered Reflective Text Evolution

X Title: GitHub - SuperCodeTool/gepa: Optimize prompts, code, and more with AI-powered Reflective Text Evolution

Description: Optimize prompts, code, and more with AI-powered Reflective Text Evolution - SuperCodeTool/gepa

Open Graph Description: Optimize prompts, code, and more with AI-powered Reflective Text Evolution - SuperCodeTool/gepa

X Description: Optimize prompts, code, and more with AI-powered Reflective Text Evolution - SuperCodeTool/gepa

Opengraph URL: https://github.com/SuperCodeTool/gepa

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https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#gepa-system-optimization-through-reflective-text-evolution
https://pypi.org/project/gepa/
https://pepy.tech/projects/gepa
https://discord.gg/A7dABbtmFw
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#overview
https://arxiv.org/abs/2507.19457https://arxiv.org/abs/2507.19457
reproduction artifacthttps://github.com/gepa-ai/gepa-artifact
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#installation
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#using-gepa
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#the-easiest-path-dspy-integration
DSPyhttps://dspy.ai/
dspy.GEPA Tutorialshttps://dspy.ai/tutorials/gepa_ai_program/
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#simple-prompt-optimization-example
full tutorialhttps://dspy.ai/tutorials/gepa_aime/
https://raw.githubusercontent.com/gepa-ai/gepa/refs/heads/main/assets/gepa_prompt_hotpotqa.png
https://raw.githubusercontent.com/gepa-ai/gepa/refs/heads/main/assets/aime_prompt.png
GEPAAdapterhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/core/adapter.py
DefaultAdapterhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/adapters/default_adapter/default_adapter.py
DSPyAdapterhttps://github.com/stanfordnlp/dspy/blob/main/dspy/teleprompt/gepa/gepa_utils.py#L51
DSPy Full Program Adapterhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/adapters/dspy_full_program_adapter
fully executable example notebookhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/examples/dspy_full_program_evolution/example.ipynb
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#using-gepa-to-optimize-your-system
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src/gepa/core/adapter.pyhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/core/adapter.py
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#example-optimizing-a-multi-turn-agent-in-an-external-environment-terminal-benchs-terminus-agent
Terminal-benchhttps://www.tbench.ai/
Terminushttps://www.tbench.ai/terminus
this scripthttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/examples/terminal-bench/train_terminus.py
TerminusAdapterhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/examples/terminal-bench/train_terminus.py
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#example-optimizing-rag-systems-with-any-vector-store
Generic RAG Adapterhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/adapters/generic_rag_adapter
complete RAG adapter examples and documentationhttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/examples/rag_adapter/RAG_GUIDE.md
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#how-does-gepa-work
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learninghttps://arxiv.org/abs/2507.19457
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#contributions
DSPy/GEPAAdapterhttps://github.com/stanfordnlp/dspy/tree/main/dspy/teleprompt/gepa/gepa_utils.py
src/gepa/adapters/https://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/adapters
https://patch-diff.githubusercontent.com/SuperCodeTool/gepa#further-reading
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning (arXiv:2507.19457)https://arxiv.org/abs/2507.19457
GEPA Artifact Repositoryhttps://github.com/gepa-ai/gepa-artifact
GEPA Talk Slideshttps://docs.google.com/presentation/d/1vIauqn55WfdgJjwU0IDjvaqpv1QHhvhPaLAKdrCFAEg/edit?usp=sharing
dspy.GEPA Tutorials, with executable notebookshttps://dspy.ai/tutorials/gepa_ai_program/
Video tutorial by @weaviate on using dspy.GEPA to optimize a listwise rerankerhttps://www.youtube.com/watch?v=H4o7h6ZbA4o
Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPyhttps://www.youtube.com/watch?v=rrtxyZ4Vnv8
Building and optimizing a multi-agent system for healthcare domain using DSPy+GEPAhttps://kargarisaac.medium.com/building-and-optimizing-multi-agent-rag-systems-with-dspy-and-gepa-2b88b5838ce2
X (formerly Twitter) Announcement Thread (Lakshya A Agrawal)https://x.com/LakshyAAAgrawal/status/1949867947867984322
GEPA covered by VentureBeathttps://venturebeat.com/ai/gepa-optimizes-llms-without-costly-reinforcement-learning
GEPA's use by Databricks covered by VentureBeathttps://venturebeat.com/ai/the-usd100m-openai-partnership-is-nice-but-databricks-real-breakthrough
@LakshyAAAgrawal on X (Twitter)https://x.com/LakshyAAAgrawal
@lateinteraction on X (Twitter)https://twitter.com/lateinteraction
Join our Discord for active discussionhttps://discord.gg/A7dABbtmFw
Open a GitHub issuehttps://github.com/gepa-ai/gepa/issues
DSPy Adapter Codehttps://github.com/stanfordnlp/dspy/tree/main/dspy/teleprompt/gepa/gepa_utils.py
DSPyhttps://dspy.ai/
Contributed Adaptershttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/src/gepa/adapters
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@egmamintahttps://patch-diff.githubusercontent.com/SuperCodeTool/gepa/blob/main/www.linkedin.com/in/egmaminta
Context Compression using GEPAhttps://github.com/Laurian/context-compression-experiments-2508
GEPA Integration into SuperOptiX-AIhttps://github.com/SuperagenticAI/gepa-eval
GEPA for Observable Javascripthttps://observablehq.com/@tomlarkworthy/gepa
bandit_dspyhttps://github.com/evalops/bandit_dspy
GEPA in Go Programming Languagehttps://github.com/XiaoConstantine/dspy-go
100% accuracy using GEPA on the clock-hands problemhttps://colab.research.google.com/drive/1W-XNxKL2CXFoUTwrL7GLCZ7J7uZgXsut?usp=sharing
Prompt Optimization for Reliable Backdoor Detection in AI-Generated Codehttps://www.lesswrong.com/posts/bALBxf3yGGx4bvvem/prompt-optimization-can-enable-ai-control-research
Teaching LLMs to Diagnose Production Incidents with ATLAS+GEPAhttps://www.arc.computer/blog/atlas-sre-diagnosis
DataBricks: Building State-of-the-Art Enterprise Agents 90x Cheaper with GEPAhttps://www.databricks.com/blog/building-state-art-enterprise-agents-90x-cheaper-automated-prompt-optimization
comet-ml/opik adds support for GEPAhttps://www.comet.com/docs/opik/agent_optimization/algorithms/gepa_optimizer
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