https://dspy.ai/
DSPy
The framework for programming—rather than prompting—language models.
dspy
https://dropbox.tech/machine-learning/optimizing-dropbox-dash-relevance-judge-with-dspy
How we optimized Dash's relevance judge with DSPy - Dropbox
We used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how...
how weoptimizeddashrelevancejudge
https://ericmjl.github.io/blog/2025/10/18/a-practical-comparison-of-dspy-and-llamabot-for-structured-llm-applications/
A practical comparison of DSPy and LlamaBot for structured LLM applications - Eric J. Ma's Personal...
https://langfuse.com/integrations/frameworks/dspy
DSPy - Observability & Tracing - Langfuse
Open-source observability for DSPy, a framework that systematically optimizes language model prompts and weights.
dspyobservabilitytracinglangfuse
https://dev.to/hezeclark/agent-framework-comparison-langchain-vs-llamaindex-vs-autogen-vs-crewai-vs-dspy-devkits-1ncg
Agent Framework Comparison: LangChain vs LlamaIndex vs AutoGen vs CrewAI vs DSPy - DevKits - DEV...
Production comparison of LangChain, LlamaIndex, AutoGen, CrewAI, and DSPy. Benchmark data, real trade-offs, and framework selection criteria for engineers...
agent frameworkcomparisonlangchainvs
https://advisories.gitlab.com/pypi/dspy/CVE-2025-12695/
DSPy does not properly restrict file reads | GitLab Advisory Database (GLAD)
CVE-2025-12695 DSPy does not properly restrict file reads: The overly permissive sandbox configuration in DSPy allows attackers to steal sensitive files in...
does notdspyproperlyrestrict
https://www.kaggle.com/code/marcinrutecki/stop-prompting-start-programming-dspy-signature
Stop Prompting & Start Programming: DSPy Signature | Kaggle
Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources
stoppromptingstartprogrammingdspy
https://harmlessdspy.com/
DSPy: The Mostly Harmless Guide
The practical guide to Stanford's DSPy framework. Stop writing prompts. Start writing code.
mostly harmlessdspyguide
https://arxiv.org/abs/2310.03714
[2310.03714] DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Abstract page for arXiv paper 2310.03714: DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
language model
https://www.digitalocean.com/community/tutorials/stanford-oval-storm-mistral-demo
Running Stanford OVAL's STORM Mistral demo with DSPy | DigitalOcean
In this tutorial, we show how to run STORM with Open-Source models like Mistral using any Notebooks however we prefer Jupyter Notebook.
runningstanfordovalstormmistral