Julian-dev28/roma-examples
Runnable examples for the ROMA Recursive Open Meta-Agent framework | Language: Python
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Runnable examples for the ROMA Recursive Open Meta-Agent framework | Language: Python
generative DJ for Ableton powered by a dSPY recursive language model | Language: Python | License: Apache License 2.0
Small CLI tool to co-view a research paper or long document with your agent using DSPy's RLM. | Language: Python | License: MIT License
This skill bridges the gap between the Haystack orchestration framework and DSPy’s optimization engine, allowing developers to automatically tune...
Structured output benchmarks comparing DSPy and BAML with different LLMs | Language: Python | License: MIT License
In Japanese language, introduction to DSPy.
This is a Demo of Optical Character Recognition task using FastApi , ReactJs, PostgreSQL, Gemini AI, DSPy prompt engineering ... | Channel: Jayesh...
MCP server integrating GEPA (Genetic-Evolutionary Prompt Architecture) for automatic prompt optimization with Claude Desktop | Language: Python |...
Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support. |...
This codebase demonstrates various DSPy functionalities through practical examples. | Language: Python
DSPY on action with OpenSource LLMs. | Language: Jupyter Notebook
In this article, we’ll understand what DSPy means and build a practical Text-to-SQL application to see how it works.
A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models. | Language: Python | License: MIT...
Language: Python | License: BSD 3-Clause "New" or "Revised" License
Explore the use of DSPy for extracting features from PDFs 🔎 | Language: HTML | License: MIT License
Make DSPy Agentic using protocol-first approach that support the Agent Protocols like MCP, A2A | Language: Python | License: MIT License
A DSPy-based implementation of the tree of thoughts method (Yao et al., 2023) for generating persuasive arguments | Language: Python | License: MIT...
LLM-driven automated knowledge graph construction from text using DSPy and Neo4j. | Language: Python
Dspy evaluations for https://github.com/Aaronontheweb/dotnet-skills | Language: Python | License: Apache License 2.0