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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.

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

## Core Concepts

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

## Triton AI Assistant

- [Triton Overview](https://docs.triform.ai/triton/overview): What Triton can do, how to use effectively, workflows, and limitations
- [Building with Triton](https://docs.triform.ai/triton/building): Creating Agents, Actions, Flows from natural language
- [Defining Projects](https://docs.triform.ai/triton/defining): Conversational Project creation and structure
- [Editing Components](https://docs.triform.ai/triton/editing): Modifying, debugging
…

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