Documentation Index
Fetch the complete documentation index at: https://budecosystem-b7b14df4.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Bud AI Foundry Agents help teams design reusable prompt-driven assistants with deployment-aware configuration, tool connectivity, and version lifecycle controls. Agents can be managed from the global Agents catalog or from each project’s Agents tab, so platform teams and project owners can collaborate from the same source of truth.Key Capabilities
Unified Discovery Search and filter agents by name, type, category, author, and tags. Guided Creation Workflow Create agents through a multi-step drawer with project context, type selection, model/deployment selection, and prompt configuration. Structured + Unstructured Inputs Support schema-backed input/output variables for predictable integrations, or freeform prompts for exploratory usage. Built-in Versioning Use the Versions tab to inspect current and previous versions, add versions, and set defaults. Tool Integrations (MCP Connectors) Attach connectors and tools directly inside the agent workflow for end-to-end orchestration.Where Agents Fit
| Surface | Primary Use |
|---|---|
| Global Agents Page | Catalog browsing, filtering, and cross-project discovery |
| Project Agents Tab | Project-scoped creation, sorting, and lifecycle actions |
| Agent Details | Overview, integration snippets, and version management |
| Agent Builder Drawer | Multi-step creation/editing, schema configuration, tools, and testing |
Typical Lifecycle
- Create a workflow from the Agents page or project Agents tab.
- Configure prompt behavior, deployment target, and optional schemas.
- Connect tools if external actions are needed.
- Run and validate behavior.
- Save and publish.
- Add and manage versions over time.
Next Steps
Quick Start
Create your first agent in minutes
Agent Concepts
Understand sessions, versions, and tools
Build Tutorial
Follow a step-by-step creation flow