Guidance

Health v2 · maintenance only

Adoption not part of the score

21799 stars · 1218 forks observed · 2026-10-16

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97

Guidance is a Python library that provides a domain‑specific language for steering large language models. It lets developers embed conditionals, loops, and output constraints directly in prompts to produce reliable, structured results.

Use cases

• generate JSON or XML responses with guaranteed schema
• constrain LLM output using regex or context‑free grammars
• interleave tool use and conditional logic in a single prompt
• create interactive Jupyter widgets for LLM generation
• reduce token usage and latency compared to manual prompting

When to choose

• you need deterministic, syntactically correct output from an LLM
• you work primarily in Python or Jupyter notebooks
• you want to embed control flow (if/else, loops) in prompts
• you aim to lower inference cost by avoiding fine‑tuning

When to avoid

• your project requires a non‑Python runtime without a bridge
• you need full model fine‑tuning rather than prompt‑level control
• the use case demands real‑time ultra‑low latency beyond what Python can provide

Facets

library · maturity active

llm-inference prompt-engineering parser large-language-models artificial-intelligence python guidance-language structured-output regex-constraints jupyter-widget low-latency

Member repositories

For agents

markdown · JSON · MCP: product_card(name="guidance-ai/guidance")