# Kodesage docs ## Kodesage Docs - [Introduction](https://docs.kodesage.ai/welcome-to-kodesage/introduction.md): Kodesage Overview - [The Kodesage engine](https://docs.kodesage.ai/welcome-to-kodesage/the-kodesage-engine.md): Platform overview - [Asking Questions in Kodesage](https://docs.kodesage.ai/welcome-to-kodesage/asking-questions-in-kodesage.md) - [Ask Kodesage](https://docs.kodesage.ai/key-features/ask-kodesage.md): Feature overview - [Docs Studio](https://docs.kodesage.ai/key-features/automatic-documentation.md): Documentation feature overview - [Issue Analysis](https://docs.kodesage.ai/key-features/issue-analysis.md): Issue analysis feature overview - [Git](https://docs.kodesage.ai/integrations/git.md): Git integration overview - [Jira and Redmine](https://docs.kodesage.ai/integrations/jira-and-redmine.md): Jira and Redmine integration overview - [Confluence](https://docs.kodesage.ai/integrations/confluence.md): Confluence integration overview - [Quickstart](https://docs.kodesage.ai/api/quickstart.md): Use the Kodesage Chat API to embed AI-powered chats in your app, enriched with your codebase and project data for smart assistance. - [Request Format](https://docs.kodesage.ai/api/request-format.md): Learn how to structure request payloads for the Kodesage Chat API like field definitions, data types and sample setups. - [Response Format](https://docs.kodesage.ai/api/response-format.md): Understand the response structure from the Kodesage Chat API such as parse returned data, errors and common response patterns. - [Implementation Examples](https://docs.kodesage.ai/api/implementation-examples.md): See real-world implementation examples for the Kodesage Chat API including sample code in multiple languages and integration patterns. - [Kodesage MCP Quickstart](https://docs.kodesage.ai/api/kodesage-mcp-quickstart.md) - [Installation guide](https://docs.kodesage.ai/deploy-kodesage/installation-guide.md): Installation guide - [Self-hosted LLM installation](https://docs.kodesage.ai/deploy-kodesage/self-hosted-llm-installation.md): Installation guide for self-hosted LLM setup - [Self-hosted Embedder installation ](https://docs.kodesage.ai/deploy-kodesage/self-hosted-embedder-installation.md): Self-hosted Embedder installation guide - [Kodesage Release Notes - 0.7.3](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.7.3.md): Concepts now available to all customers, delivering knowledge graph-powered insights, faster PDF processing, improved references, and platform stability upgrades. - [Kodesage release Notes - 0.7.2](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.7.2.md): New metrics and usage reports, improved PDF viewing and ingestion, refined navigation, and enhanced Ask Kodesage context and reference management. - [Kodesage Release Notes - 0.7.1](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.7.1.md): Introducing Concepts (private beta), smarter document updates, enhanced IDE integration, improved search accuracy, and major performance and stability upgrades. - [Kodesage Release Notes - 0.6.8](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.8.md): Improved Docs Studio, unified Ticket Analysis UI, faster search, PDF/image support, and major performance & stability upgrades - [Kodesage Release Notes - 0.6.5](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.5.md): REST API launch for Ask Kodesage, smarter LLM reference reranking, Docs Studio UI upgrades, framework update to Angular v20, and performance fixes. - [Kodesage Release Notes - 0.6.4](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.4.md): New style options and input field enhancements for Ask Kodesage, new filters, UI tweaks & performance fixes. - [Kodesage Release Notes - 0.6.3](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.3.md): Docs studio updates including PDF exports for AI generated documentation, new RPG parser, Jira API updates, faster tagging of code files and Jira tickets. - [Kodesage Release Notes - 0.6.2](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.2.md): Bug fixes for Ask Kodesage, Git repository synchronization and smaller performance enhancements. - [Kodesage Release Notes -0.6.1](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.1.md): Multiple UI improvements, generated code can now be copied, Docs Studio changes, faster LLM performance, Jira / Redmine tickets can be used as data sources. - [Kodesage Release Notes -0.6.0](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.6.0.md): Knowledge base early access, redesigned answer rating, ingestion simplification, Confluence references, stability fixes. - [Kodesage Release Notes - 0.5.9](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.5.9.md): New mode for Ask Kodesage, allowing deeper reasoning and improving answer accuracy, bug fixes in air-gapped deployment mode, Git repository sync fixes. - [Kodesage Release Notes -0.5.8](https://docs.kodesage.ai/release-notes/kodesage-release-notes-0.5.8.md): Answer style options for Ask Kodesage allowing for answer depth control, refreshed input field design, new filtering options for issue tickets & stability enhancements. - [Kodesage Release Notes -0.5.7](https://docs.kodesage.ai/release-notes/git.md): Thinking mode option and data source filter indicator for Ask Kodesage,, search & performance enhancements, and new regression test catalogue. - [Kodesage Release Notes -0.5.5](https://docs.kodesage.ai/release-notes/git-1.md): Redesigned reference editor and added mermaid zoom to Ask Kodesage, ticket summaries for Jira tickets, new wiki-JS integration & data source interface updates. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on a page URL with the `ask` query parameter: ``` GET https://docs.kodesage.ai/welcome-to-kodesage/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.