Build Agents
Agents are the workloads that call LLMs and tools through the Agentic Data Plane. Start with how agents work, then create a declarative agent, set up an agent you host yourself, and apply architecture and system-prompt best practices.
Learn how Agentic Data Plane agents use a declarative approach backed by a broad library of prebuilt tools and integrations to replace custom agent code.
Understand how declaratively configured agents execute reasoning loops, manage context, invoke tools, and handle errors.
The A2A protocol enables agents to discover and call each other across platforms. Learn how agent cards, authentication, and protocol versioning work in Agentic Data Plane.
Design maintainable agent systems with single-agent and multi-agent patterns based on domain complexity.
Write system prompts that produce reliable, predictable agent behavior through clear constraints and tool guidance.
Configure an Agentic Data Plane agent declaratively through the create form. No Python or JavaScript code required.
Make an agent render interactive charts in the Inspector by emitting a chart code block that holds a Chart.js configuration.
Register a self-managed agent, issue it a client credential, and route its LLM and tool calls through the AI Gateway so spend, traces, and transcripts attribute back to the agent.
Triggers connect a deployed agent to the outside world, so people and systems can invoke it without calling its API directly.
