> ## Documentation Index
> Fetch the complete documentation index at: https://docs.triform.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LLMs.txt

> Standardized file for LLM access to Triform documentation

# Triform

> Triform is a visual platform for building, running, and monitoring AI-powered systems. Users compose logic in the **Builder workspace** using a Canvas with Nodes (Agents, Flows, Actions) connected by Edges. Triton, the built-in AI assistant, helps build, modify, and debug Projects through natural conversation. The **Chat workspace** provides a conversational interface for using and interacting with completed agents.

## Core Concepts

**Projects** are complete, deployable AI systems containing Actions, Agents, and Flows. **Agents** are LLM-powered components with prompts, model configs, and tools. **Actions** are atomic Python functions with typed inputs/outputs. **Flows** are orchestration graphs connecting components with edges defining data flow.

**Important notes:**

* The **Builder workspace** contains the Canvas, Chat Panel (Triton), and Properties Panel for building
* The **Chat workspace** is for conversing with and using your agents (like ChatGPT)
* All components live within Organizations → Projects → Library hierarchy
* Executions are tracked with logs, traces, and metrics for debugging
* Projects deploy to staging/production and expose API endpoints
* Dependencies must be pure Python (no binary installs)

## Getting Started

* [Quickstart](/getting-started/quickstart): 5-minute guide to sign in, create a Flow with Triton, and use it in Chat
* [Workspace Overview](/getting-started/workspace-overview): Builder workspace, Chat workspace, and navigation
* [Login](/getting-started/login): Authentication via Discord or GitHub

## Core Concepts

* [Agents](/concepts/agents): LLM logic with prompts, tools, and observability patterns
* [Flows](/concepts/flows): Graph building blocks (Input/Output nodes, edges) and patterns (linear, branching, parallel)
* [Actions](/concepts/actions): Python structure, I/O contracts, and workflow
* [Glossary](/concepts/glossary): Comprehensive definitions of all Triform terms
* [Projects](/concepts/projects): Organization, structure, and deployment
* [Executions](/concepts/executions): Running components, viewing results, and debugging
* [Payloads](/concepts/payloads): JSON input data format and schema matching
* [Triggers](/concepts/triggers): Webhooks, schedules, and manual execution

## Triton AI Assistant

* [Triton Overview](/triton/overview): What Triton can do, how to use effectively, workflows, and limitations
* [Building with Triton](/triton/building): Creating Agents, Actions, Flows from natural language
* [Defining Projects](/triton/defining): Conversational Project creation and structure
* [Editing Components](/triton/editing): Modifying, debugging, and optimizing existing work

## Workspace Interface

### Builder Workspace (For Building)

* [Builder Overview](/workspace/builder/overview): Main development workspace
* [Canvas Overview](/workspace/canvas/overview): Visual workspace for building
* [Flow View Basics](/workspace/canvas/flow-view/basics): Nodes, edges, and graph visualization
* [Create and Connect](/workspace/canvas/flow-view/create-connect): Adding nodes and wiring components
* [Node Interactions](/workspace/canvas/flow-view/node-interactions): Selection, configuration, and manipulation
* [Properties Panel Overview](/workspace/properties/overview): Component configuration interface
* [Execute Panel](/workspace/properties/execute): Running components with payloads and viewing results
* [Chat Panel (Triton)](/workspace/chat-panel): Interacting with Triton for building

### Chat Workspace (For Using Agents)

* [Chat Overview](/workspace/chat/overview): Conversational workspace for using agents
* [Chat Interface](/workspace/chat/chat-interface): Main chat area
* [Chat History](/workspace/chat/chat-history): Managing conversations
* [Project Selector](/workspace/chat/project-selector): Enabling projects for your agent

## Tutorials

* [Build a New Project](/tutorials/build-a-new-project): End-to-end guide to creating a complete Project
* [Edit an Existing Project](/tutorials/edit-an-existing-project): Modifying and extending Projects
* [Edit a Specific Component](/tutorials/edit-a-specific-component): Focused changes to Actions, Agents, or Flows
* [Integrate Project into Your App](/tutorials/integrate-project-into-your-app): API keys, endpoints, and external integration

## API Reference

* [API Introduction](/api-reference/introduction): Authentication with Bearer tokens
* [OpenAPI Specification](/api-reference/openapi.json): Complete API schema

## Optional

* [Project Variables](/concepts/project/variables): Environment-specific configuration and secrets
* [API Keys](/concepts/project/api-keys): Creating and managing authentication tokens
* [Deployments](/concepts/project/deployments): Publishing to staging and production
* [Quick Reference](/appendix/quick-reference): Cheat sheet for common operations
* [Organization Admin](/orgs/admin): Managing Organizations
* [Members and Roles](/orgs/members): Team collaboration and permissions
* [Quotas Overview](/quotas/index): Account limits and resource usage
* [Security Overview](/security/overview): Data protection and compliance
* [Changelog](/changelog/index): Platform updates and new features
* [Community](/community/join-discord): Discord server and support channels

***

## About this file

This page follows the [llms.txt specification](https://llmstxt.org/) - a proposed standard for providing LLM-friendly information to help AI assistants use website documentation at inference time. The plain text version is available at `/llms.txt`.