DSPy (Community)

DSPy is a Coding & Development tool that provides a declarative framework for programming language models. It allows developers to build modular AI software with algorithms that optimize prompts and weights.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is DSPy (Community)?

DSPy is a declarative framework designed for programming language models, offering a more structured approach than traditional prompting. It enables developers to build modular AI software by defining AI behavior as code rather than brittle strings. The framework includes algorithms that compile AI programs into effective prompts and weights for various language models, supporting applications from simple classifiers to sophisticated RAG pipelines and agent loops. DSPy aims to make AI software more reliable, maintainable, and portable across different models and strategies, akin to the shift from assembly to higher-level programming languages.

Best used for

Ideal for developers who need to program language models with structured code, optimize prompts and weights for various LMs, and build complex AI systems like RAG pipelines or agents. Especially valuable for those seeking a more reliable, maintainable, and portable approach to AI software development.

Common actions

program language models

optimize AI prompts

build AI agents

develop RAG systems

Capabilities

Key features

Declarative AI programming
Module-based AI behavior
Prompt & weight optimization
Signature-based LM interaction
Multi-stage pipeline support
Integrates diverse LLMs

Target Audience

developer

Integrations

openaianthropicdatabricksgoogle-geminiollamasglanglitellm

Pricing & Plans

Open Source

Not publicly disclosed. Check dspy.ai for current pricing.

FAQs

What is the core philosophy behind DSPy?

DSPy aims to shift AI programming from tinkering with prompt strings to building with structured, declarative natural-language modules. It separates the 'what' (signatures) from the 'how' (implementation), allowing for more reliable, maintainable, and portable AI software across different models and strategies.

What types of AI tasks can DSPy help with?

DSPy supports a wide range of AI tasks, including mathematical reasoning, retrieval-augmented generation (RAG), classification, information extraction, and building multi-stage AI agents. It provides modules and optimizers tailored for these diverse applications.

How does DSPy handle different language models and providers?

DSPy integrates with various LLM providers like OpenAI, Anthropic, Databricks, and Gemini, as well as local LMs via Ollama and SGLang, through LiteLLM. Users can configure their preferred LM and API keys, allowing for flexible model interchangeability within their DSPy programs.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra AI Agents & Automation › RAG & Document AI

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