Agents
Build, test, and operate AI Agents in Budibase.
Budibase Agents let you combine model reasoning with workspace tools and automations.
Use this section to go from initial setup to production-ready Agent workflows.
Recommended path
- Agents Config
Connect and validate your model provider and default model. - Agent building 101
Build a complete service desk Agent with tools and automation handoff. - Agent instructions guide
Write clear, safe, and deterministic instruction prompts. - Agent tools and permissions
Apply least-privilege tool access and safe write guardrails. - Agent embedding models
Configure embeddings for Agent knowledge retrieval. - Agent vector databases
Connect and assign vector storage for semantic retrieval. - Agent testing guide
Run repeatable tests and regression checks before production rollout. - Agent troubleshooting
Diagnose model, tool, and output issues quickly.
What this section covers
- Agent setup and model configuration
- Prompt and output design patterns
- Tool access and safety controls
- Embeddings and vector database setup
- Testing strategy and release readiness
- Troubleshooting and operational support
If you are setting up Budibase AI for the first time, see Quickstart: Budibase AI.
Updated about 2 hours ago