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Guidance

Free#34 of 49 in LLM Application Development Frameworks

Guidance: A focused Python toolkit for structured generation and logical control over model output. Ranked #34 of 49 in LLM Application Development Frameworks by our editors (6.0/10); pricing: Free plan; best for constrained generation with grammars and schemas.

6.0/10Editor score
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Guidance6.0 Visit Guidance

At a glance

  • Editor score
    6.0 / 10
  • Pricing
    Free plan
  • Best for
    Constrained generation with grammars and schemas
  • Free plan
    Yes
  • Paid from
    None
  • RAG support
    Yes
  • Facts checked
    28 Sep 2026

  • Where it wins

    • Constrain generation with regular expressions, grammars, or JSON schemas.
    • Combine generation with conditionals, loops, and reusable functions.
    • Supports Transformers, llama.cpp, OpenAI, and tool calls.

  • Where it doesn't

    • Specialized generation toolkit, not a broad application framework.
    • No workflow graphs or prompt optimization.
    • Python library without a JavaScript SDK.

Our verdict on Guidance

Guidance is an open-source Python library for developers who want programs to control how language models generate text. Its focus is constrained generation: output can follow regular expressions, context-free grammars, predefined choices, or a JSON schema. Rather than treating a prompt as a single fixed request, Guidance can combine prompting and generation with conditionals and loops, and developers can define reusable functions. That makes it a fit for teams building applications where output shape and generation flow matter more than a broad, visual application-building environment.

The framework's standout capability is control over generated structure. Schema-constrained JSON, grammar-based output, and predefined choices address cases where an application needs responses in an expected form. Guidance also supports tool or function calls, and its documentation includes retrieval-augmented generation examples. These features keep the focus on shaping model behavior within a Python program; they are not a workflow graph or prompt-optimization system. Teams seeking those capabilities as central framework features may prefer a broader application framework.

Guidance can connect to multiple model backends, including Transformers, llama.cpp, and OpenAI, giving developers options to align the library with their model setup. It is self-hosted and open source under the MIT license, with a free plan, so it is not presented as a hosted service with paid tiers. Support channels include email, community, and documentation. Choose Guidance when constrained output and programmable control flow are the core requirements; consider another option if a JavaScript SDK or workflow graphs are needed. The published platform details specify Linux, and the library is Python-focused.

Guidance pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on github.com

Guidance fact sheet

Free planYes
Paid fromNone
Primary languagePython
RAG supportYes
Agent and tool useYes
Workflow graphsNo
Prompt optimizationNo
Open-source licenseMit
JavaScript/TypeScript SDKNo
DeploymentSelf-hosted
PlatformsLinux
SupportEmail, Community, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingFree plan
Websitegithub.com
Facts checked28 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — Guidance 6.0/10

Guidance is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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