repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
clifton/rstructor
Pydantic + Instructor for Rust: extract structured, validated data from LLMs (OpenAI GPT, Anthropic Claude, Gemini, Grok/xAI) into native Rust structs & enums. Derive macros auto-generate JSON Schema, parse responses, and retry on validation errors. Type-safe structured outputs & function calling.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%Pydantic + OpenAI: The Cleanest Way to Get Structured Outputs from LLMs - Towards Data Science →
- PossiblePossibly related (embedding) · 52%The C to Rust migration book →
- PossiblePossibly related (embedding) · 48%Had an idea for a Rust editor with simple Vim mode for learning →
- PossiblePossibly related (embedding) · 49%Canonical backs quest to translate mountains of C into safe Rust with AI →
- PossiblePossibly related (embedding) · 53%Topcoat: The full full-stack framework for Rust →
Covers
Covers (incoming)
Related across the graph
newsTopcoat: The full full-stack framework for RustnewsThe C to Rust migration booknewsHad an idea for a Rust editor with simple Vim mode for learningnewsPydantic + OpenAI: The Cleanest Way to Get Structured Outputs from LLMs - Towards Data SciencenewsCanonical backs quest to translate mountains of C into safe Rust with AI