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docs: remove section overview pages
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Luca Martial
parent
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11 changed files with 37 additions and 148 deletions
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@ -189,7 +189,7 @@ uv run pytest -q
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## Docs
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- [Quickstart](docs-site/content/docs/getting-started/quickstart.mdx)
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- [CLI Reference](docs-site/content/docs/cli-reference/index.mdx)
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- [CLI Reference](docs-site/content/docs/cli-reference/ktx.mdx)
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- [Building Context](docs-site/content/docs/guides/building-context.mdx)
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- [Contributing](docs-site/content/docs/community/contributing.mdx)
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@ -5,6 +5,10 @@ description: A task-first route for coding agents that need to understand KTX do
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This page is for coding assistants reading or citing the KTX docs. It is intentionally limited to documentation lookup, docs navigation, and safe command discovery.
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For Markdown endpoints, use [Markdown Access](/docs/ai-resources/markdown-access).
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For reusable task prompts, use [Prompt Recipes](/docs/ai-resources/prompt-recipes).
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To install KTX into an agent client, use [Agent Clients](/docs/integrations/agent-clients).
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## First read
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Agents should start with the smallest source that answers the task:
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@ -1,64 +0,0 @@
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---
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title: AI Resources
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description: Machine-readable docs, retrieval paths, and prompt recipes for coding assistants using KTX documentation.
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---
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Use this section when a coding assistant, IDE agent, or automation system needs
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to read, cite, or update KTX documentation. These resources are optimized for
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retrieval: agents can fetch small Markdown pages, use the full corpus only when
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needed, and copy prompts that point them at current setup and CLI behavior.
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> **Documentation index**
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>
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> Start with [`/llms.txt`](/llms.txt) to discover the available docs. Use
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> [`/llms-full.txt`](/llms-full.txt) when the assistant needs the complete docs
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> corpus in one Markdown response.
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## What agents can do
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| Need | Recommended path |
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|------|------------------|
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| Find the right setup or CLI page | Fetch [`/llms.txt`](/llms.txt), then read the smallest matching `.md` page |
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| Answer a setup question | Read [Agent Quickstart](/docs/ai-resources/agent-quickstart), then [Quickstart](/docs/getting-started/quickstart) or [ktx setup](/docs/cli-reference/ktx-setup) |
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| Quote a command or flag | Read the matching [CLI Reference](/docs/cli-reference) page as Markdown |
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| Update docs in this repo | Use [Agent Instructions](/docs/ai-resources/agent-instructions) and verify generated Markdown routes after editing |
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| Reuse a prompt | Copy from [Prompt Recipes](/docs/ai-resources/prompt-recipes) |
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## Section map
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| Goal | Use this page |
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|------|---------------|
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| Give an assistant a task-first route through the docs | [Agent Quickstart](/docs/ai-resources/agent-quickstart) |
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| Fetch docs as Markdown instead of rendered HTML | [Markdown Access](/docs/ai-resources/markdown-access) |
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| Add lightweight KTX docs guidance to a system prompt | [Agent Instructions](/docs/ai-resources/agent-instructions) |
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| Copy prompts for setup, command lookup, and docs editing | [Prompt Recipes](/docs/ai-resources/prompt-recipes) |
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## Available resources
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| Resource | What it gives agents |
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|----------|----------------------|
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| [`/llms.txt`](/llms.txt) | Curated index of high-value KTX docs and Markdown endpoints |
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| [`/llms-full.txt`](/llms-full.txt) | Complete docs corpus in one plain-text Markdown response |
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| `/docs/<path>.md` | Per-page Markdown for any docs page |
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| Page-level actions | Copy Markdown, view Markdown, or copy MDX from rendered docs pages |
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| Prompt recipes | Reusable prompts for docs lookup, setup help, command discovery, and docs editing |
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## Agent usage notes
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When an assistant is unsure where to begin, use this retrieval order:
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1. Read [`/llms.txt`](/llms.txt).
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2. Fetch one or two specific Markdown pages for the task.
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3. Use [Agent Quickstart](/docs/ai-resources/agent-quickstart) to choose the
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next command, guide, or CLI reference page.
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4. Use [`/llms-full.txt`](/llms-full.txt) only when the answer requires broad
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context across setup, integrations, concepts, and CLI reference.
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5. Use page-level copy actions when the user wants exact generated Markdown or
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source MDX.
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## Boundaries
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AI Resources explain how agents consume the docs. To install KTX into an
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agent client, use [Agent Clients](/docs/integrations/agent-clients). To set up a
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project, use [Quickstart](/docs/getting-started/quickstart) or
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[`ktx setup`](/docs/cli-reference/ktx-setup).
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@ -2,7 +2,6 @@
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"title": "AI Resources",
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"defaultOpen": true,
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"pages": [
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"index",
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"agent-quickstart",
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"markdown-access",
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"agent-instructions",
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@ -1,13 +1,29 @@
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---
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title: "Overview"
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description: "Command map and shared options for the KTX CLI."
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title: "ktx"
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description: "Root command map, global options, and project resolution for the KTX CLI."
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---
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The `ktx` CLI sets up local projects, builds agent-ready context, checks
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connections, queries semantic-layer sources, searches wiki pages, runs the MCP
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server, and manages the bundled Python runtime.
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## Command Map
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## Command signature
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```bash
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ktx [global-options] <command>
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```
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When you run bare `ktx` in an interactive terminal outside any KTX project, the
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CLI starts the same guided setup flow as `ktx setup`. Inside an existing
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project, use command-specific help:
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```bash
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ktx --help
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ktx setup --help
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ktx ingest --help
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```
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## Command map
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```text
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ktx
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@ -45,7 +61,7 @@ ktx
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The public context-build entrypoint is `ktx ingest [connectionId]` or
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`ktx ingest --all`.
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## Global Options
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## Global options
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| Flag | Description |
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|------|-------------|
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@ -54,14 +70,14 @@ The public context-build entrypoint is `ktx ingest [connectionId]` or
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| `-v`, `--version` | Show the CLI package name and version. |
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| `-h`, `--help` | Show help for the current command. |
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## Project Resolution
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## Project resolution
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Most commands are project-aware. Pass `--project-dir <path>` when scripting or
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when you are outside the project directory. If you omit it, KTX checks
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`KTX_PROJECT_DIR`, then walks upward for the nearest `ktx.yaml`, then falls back
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to the current directory.
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## Common Workflows
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## Common workflows
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```bash
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# Start or resume setup
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@ -2,7 +2,7 @@
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"title": "CLI Reference",
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"defaultOpen": true,
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"pages": [
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"index",
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"ktx",
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"ktx-setup",
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"ktx-connection",
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"ktx-ingest",
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@ -67,10 +67,10 @@ Server.
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<Card title="Writing Context" href="/docs/guides/writing-context">
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Edit semantic-layer YAML and wiki Markdown safely.
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</Card>
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<Card title="CLI Reference" href="/docs/cli-reference/ktx-setup">
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<Card title="CLI Reference" href="/docs/cli-reference/ktx">
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Complete flag and subcommand reference for every KTX command.
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</Card>
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<Card title="AI Resources" href="/docs/ai-resources">
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<Card title="Agent Quickstart" href="/docs/ai-resources/agent-quickstart">
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Machine-readable docs and agent-facing setup notes.
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</Card>
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</Cards>
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@ -1,71 +0,0 @@
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---
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title: Integrations
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description: Connect KTX to warehouses, analytics tools, and coding agents.
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---
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KTX integrations bring trusted context into an analytics project and make that
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context available to coding agents through the CLI. Start with `ktx setup` when
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you want the guided flow, then use the integration reference pages for exact
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configuration fields, generated files, and manual setup.
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## Integration types
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| Type | What it connects | Start here |
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|------|------------------|------------|
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| Primary sources | Warehouses and databases that KTX scans for schemas, constraints, row counts, and optional query history | [Primary Sources](/docs/integrations/primary-sources) |
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| Context sources | Existing analytics and knowledge tools such as dbt, MetricFlow, LookML, Metabase, Looker, and Notion | [Context Sources](/docs/integrations/context-sources) |
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| Agent clients | Claude Code, Codex, Cursor, OpenCode, and universal `.agents` consumers | [Agent Clients](/docs/integrations/agent-clients) |
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## Recommended setup flow
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Use this order for a new project:
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1. Run `ktx setup` from the analytics project directory.
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2. Configure an LLM backend and embeddings so KTX can enrich and search context.
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3. Add at least one primary source connection.
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4. Add optional context sources that describe the same warehouse or business domain.
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5. Build context during setup, or run `ktx ingest <connectionId>` later.
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6. Install agent integration with `ktx setup --agents` when the context is ready.
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For repeatable setup, pass `--project-dir`, `--no-input`, and the relevant
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automation flags documented in [`ktx setup`](/docs/cli-reference/ktx-setup).
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## What setup writes
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| Path | Purpose |
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|------|---------|
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| `ktx.yaml` | Main project configuration for providers, embeddings, connections, source mappings, and query history |
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| `.ktx/secrets/*` | Local file-backed secrets when you choose file references during setup |
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| `.ktx/setup/*` | Local setup progress and context-build state |
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| `semantic-layer/<connection-id>/` | YAML semantic sources generated by database and source ingestion |
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| `wiki/` | Markdown business context, definitions, and ingested knowledge |
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| `.ktx/agents/install-manifest.json` | Manifest of agent integration files installed by `ktx setup --agents` |
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| Agent client files | Skills, rules, or commands that teach agents when and how to call KTX |
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## Common commands
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```bash
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# Start or resume the guided flow
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ktx setup
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# Add or refresh every configured integration
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ktx ingest --all
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# Refresh one configured warehouse, source, or knowledge integration
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ktx ingest warehouse
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# Install one project-scoped agent target
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ktx setup --agents --target codex
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# Check whether integrations are ready
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ktx status
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```
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## Choosing docs
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Read [Primary Sources](/docs/integrations/primary-sources) when you need
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database driver fields, authentication formats, query history support, or
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warehouse-specific notes. Read [Context Sources](/docs/integrations/context-sources)
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when you need source adapter fields, repository authentication, BI tool mapping,
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or Notion crawl options. Read [Agent Clients](/docs/integrations/agent-clients)
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when you need generated file locations or manual agent configuration.
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{
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"title": "Integrations",
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"defaultOpen": true,
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"pages": ["index", "primary-sources", "context-sources", "agent-clients"]
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"pages": ["primary-sources", "context-sources", "agent-clients"]
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}
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@ -7,6 +7,11 @@ KTX connects to your data warehouse or database to build schema context,
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discover relationships, and execute semantic layer queries. Each connection is
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defined in `ktx.yaml` under the `connections` key.
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For analytics tools and knowledge systems such as dbt, MetricFlow, LookML,
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Metabase, Looker, and Notion, use [Context Sources](/docs/integrations/context-sources).
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For Claude Code, Codex, Cursor, OpenCode, and other agent clients, use
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[Agent Clients](/docs/integrations/agent-clients).
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All connectors share these conventions:
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- Sensitive values support `env:VAR_NAME` (read from environment) and
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@ -52,7 +52,6 @@ KTX provides semantic-layer files, warehouse scans, wiki pages, provenance, and
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## Agent Entry Points
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${link("/docs/ai-resources", "AI Resources", "Machine-readable docs, prompt recipes, and agent setup paths")}
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${link("/docs/ai-resources/agent-quickstart", "Agent Quickstart", "Task-first route for coding assistants using KTX")}
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${link("/docs/ai-resources/markdown-access", "Markdown Access", "Fetch KTX docs as llms.txt, llms-full.txt, or per-page Markdown")}
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${link("/docs/ai-resources/agent-instructions", "Agent Instructions", "Suggested instructions for coding assistants that need to read and cite KTX docs")}
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@ -73,6 +72,7 @@ ${link("/docs/guides/writing-context", "Writing Context", "Write semantic source
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## CLI Reference
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${link("/docs/cli-reference/ktx", "ktx", "Root command map and global options")}
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${link("/docs/cli-reference/ktx-setup", "ktx setup", "Interactive project setup")}
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${link("/docs/cli-reference/ktx-sl", "ktx sl", "Semantic-layer commands")}
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${link("/docs/cli-reference/ktx-wiki", "ktx wiki", "Wiki page commands")}
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