Add Real‑Time Data to Your Agent – Server Webhook Tools Explained

ElevenLabs · Beginner ·🛠️ AI Tools & Apps ·6mo ago
Unlock the power of real‑time information. This tutorial shows how to create server tools (webhooks) so your agent can fetch data from your backend. Tools let agents interact with external systems; ElevenLabs supports client tools (executed on the client) and server tools (executed server‑side). You’ll learn to configure a webhook to fetch order details, set path parameters and dynamic variables, adjust timeouts and pre‑tool speech, and add the tool to your agent. Finally, see how conversation logs reveal tool calls and how fetched data persists in the context window. New to conversational AI…
Watch on YouTube ↗ (saves to browser)

Chapters (10)

Introduction: why LLMs need real‑time data and the difference between client a
0:30 Creating a server webhook tool: defining the URL and description.
1:00 Adding path parameters: capturing order IDs or other dynamic inputs.
1:40 Configuring timeout & dynamic variables: controlling response time and injecti
2:30 Pre‑tool speech & authentication: using pre‑tool speech and optional headers.
3:10 Adding the tool to your agent: via UI or JSON/CLI and reviewing the tool ID.
4:00 Testing the tool: live conversation retrieving order status, items and shippin
5:10 Reviewing conversation logs: examining tool calls, parameters and returned dat
6:30 Persisting context: how the agent uses fetched data for follow‑up questions.
7:10 Preview of client tools & next video: controlling UI actions on the client sid

Playlist

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