Question 1

How does Litho compare to Doxygen or Sphinx?

Accepted Answer

Litho focuses on AI-driven architectural documentation and C4 diagrams, while Doxygen and Sphinx are more for API documentation from code comments. Litho is better for high-level system overviews, whereas others excel at low-level code docs.

Question 2

How to configure Litho for a Python project with external docs?

Accepted Answer

Install Litho via Cargo, run it on your project directory, and set up a litho.toml file to mount external Markdown or PDF files under knowledge categories. Use commands like 'deepwiki-rs sync-knowledge' to integrate them.

Question 3

Does Litho work with private codebases without sending data externally?

Accepted Answer

Litho requires LLM API calls for AI analysis, so data may be sent to external providers unless configured with local LLMs. The README mentions using custom LLM API base URLs, but local setup is complex.

Question 4

What AI models does Litho support and are they expensive?

Accepted Answer

Litho supports various LLMs via API, such as GPT-5-mini and GPT-5-Pro, as shown in advanced options. Costs depend on the provider and usage volume; you need to bring your own API key and manage expenses.

Question 5

How to integrate Litho with GitHub Actions for CI/CD?

Accepted Answer

Add a step in your workflow to install Litho via Cargo and run it on your codebase. The README states it's designed for CI/CD pipelines, generating documentation on every commit with commands like 'deepwiki-rs -p ./src'.

Question 6

Can Litho handle microservices or distributed systems?

Accepted Answer

Yes, Litho's AI analysis can infer service boundaries and dependencies in distributed architectures, generating appropriate C4 diagrams. However, accuracy may vary with complex inter-service communication patterns.

Question 7

Is Litho's generated documentation editable after creation?

Accepted Answer

Yes, the output is in Markdown format and can be manually edited, but regenerating documentation will overwrite files. For persistent customizations, you may need to modify templates or use external knowledge integration.

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