openai-voice-agents

To search OpenAI Voice Agents documentation, run python scripts/search_docs.py followed by your query. This performs a full-text search across the docs/ directory and returns matching file paths, source URLs, and timestamps for citation.

The documentation search returns contextual snippets alongside file paths, source URLs, and fetched_at timestamps. This provides full traceability for citation and allows developers, integrators, and researchers to quickly locate relevant materials.

No external dependencies are required to run the docs search. You only need Python 3 installed to execute the included scripts/search_docs.py file, which reads Markdown files and frontmatter directly from the docs/ directory.

Yes, you can search Markdown files in a custom directory by using the optional --skill-dir flag. This allows you to specify the skill root directory, making the documentation search flexible for varied project setups.

The documentation discovery process handles citation tracking by reading frontmatter in Markdown files. It extracts source_url and fetched_at timestamps from the metadata, returning them with search results to ensure traceability of the materials.