Webhooks

Introduction

Webhooks let your AI Agent call your own backend during a conversation. Whenever a webhook fires, Moveo sends an HTTP POST to a URL you provide; your endpoint can read the conversation context, run business logic, and respond with new context variables or replies for the agent to deliver.

Moveo supports four webhook types, each firing at a different point in the conversation:

Type	When it fires
Dialog	A dialog node hits a webhook action
First message	Once per session, on the user's first message to a given AI Agent
Pre message	Before every user message is processed
Post message	After the agent has generated its reply

A few rules:

• You can configure multiple dialog webhooks per AI Agent and reference each from any node.
• You can configure at most one first message, one pre message, and one post message webhook per AI Agent.
• If a first message webhook is not configured, the pre message webhook (if any) is called for the first message instead.

This page covers configuring webhooks in the UI and the differences in their payloads. For implementation, code samples, and the full type reference, see Build a webhook.

Set up a webhook

The setup is the same for all four types. Navigate to your AI Agent → Workflows → Webhooks → + Create webhook, pick the type, and fill in the form.

Required fields

Field	Description
Name	A label for the webhook. Must be unique within the AI Agent.
URL	The HTTPS endpoint Moveo will POST to. Non-HTTPS URLs and loopback or private addresses are rejected in production.
Verification token	A secret you choose. Moveo signs every request with HMAC SHA256 using this token, so your endpoint can verify the call originated from Moveo. Treat it like a password.
Type	One of dialog, first message, pre message, or post message.

Custom headers

You can add up to 10 custom headers that Moveo will include on every call to your endpoint — for example, an API key your backend expects.

Reserved headers

The following headers cannot be set as custom headers:

Host, Connection, Content-Length, Transfer-Encoding, Origin, Referer, Range, Max-Forwards, Upgrade, TE, Trailer, X-Forwarded-*, Proxy-*, Access-Control-*, Sec-WebSocket-*.

There is one Moveo specific custom header you can opt into:

Header	Effect
X-Moveo-Include-History: true	Adds the conversation history to the webhook payload under a history field.

Authenticating webhook calls

Anyone who knows your URL could send a POST to it. Authentication ensures your endpoint only acts on requests that genuinely came from Moveo.

Moveo signs every request with HMAC SHA256 of the JSON body, using the verification token as the key. The signature is sent in the X-Moveo-Signature header. Your endpoint should recompute the signature and reject the request if it does not match. Code samples for verifying the signature are in Build a webhook → Verify the signature.

If you cannot use HMAC and need to allow list IPs at your network edge instead, Moveo's webhook calls originate from 18.192.167.150, 18.198.233.220, and 3.66.239.254. IP allow lists are a fallback, not a replacement, because Moveo's egress IPs may change.

Other options

Option	Default	Description
Enabled	On	Disable to stop the webhook from firing without deleting it.
Fail on error	Off	If on, a non-2xx response or timeout interrupts the conversation. If off, the agent continues with whatever context it has.

Payload differences per type

All four types share a common envelope and add type-specific fields on top. The fields below describe what your endpoint receives in the request body. Full TypeScript types are in Build a webhook → Type reference.

Common envelope

Field	Type	Description
channel	string	Channel name (web, whatsapp, viber, etc.)
channel_type	string	Channel category (e.g. messaging, voice)
session_id	string	Conversation session identifier
desk_id	string	Environment identifier
integration_id	string	Integration the conversation is happening on
brain_id	string	AI Agent identifier
lang	string	Conversation language code
context	object	All context variables collected so far, including sys-* system variables and the user object
timestamp	integer	Unix epoch in milliseconds
history	array	Optional. Included only when X-Moveo-Include-History: true is set as a custom header

Dialog webhook

Fires when a dialog node executes a webhook action. Adds:

Field	Type	Description
input	object	The user input that triggered the node, with text
intents	array	Recognized intents, sorted by confidence
entities	array	Entities extracted from the input
debug.dialog_stack	array	The path of dialog nodes leading to this action
user_message_counter	integer	How many user messages have been processed in the session

The endpoint can return both context updates and a responses array (text, media, carousel, webview, etc.) that the agent delivers to the user.

First message and pre message webhooks

Fire before the agent processes the user's input. Pre message fires every turn; first message fires only on the first message of a session for a given AI Agent. Adds:

Field	Type	Description
input	object	The incoming user input, with text and attachments
business_closed	boolean	true if the conversation is happening outside business hours

The endpoint can return a context update and an input object. Use input.text to rewrite the user message before the agent sees it, or input.trigger_node_id to route straight to a specific dialog node (bypassing intent classification). It cannot reply on the agent's behalf.

{
  "channel": "web",
  "session_id": "8563dcdf-64ef-4de2-a5ca-b96e0557e4e8",
  "desk_id": "d3d08940-f0ef-42e0-993c-1bea065dcqwe",
  "integration_id": "",
  "brain_id": "d3d08940-f0ef-42e0-993c-1bea065dcqwe",
  "lang": "en",
  "context": {
    "user": {
      "user_id": "test-O44vJC-TuXiJXh8hkXvlZ",
      "display_name": "Visitor 2020",
      "verified": false
    },
    "sys-channel": "web",
    "sys-business": "open",
    "sys-user_message_counter": 1
  },
  "timestamp": 1761045302529,
  "input": {
    "text": "hi",
    "attachments": []
  },
  "business_closed": false
}

Post message webhook

Fires after the agent has generated its reply, before the reply is delivered to the user. Skipped if the interaction was interrupted mid flight. Adds:

Field	Type	Description
input	object	The user input that started this turn
intents	array	Intents recognized for this turn
entities	array	Entities recognized for this turn
output	array	The agent's planned reply, as an array of action objects. The set is broader than the responses your endpoint can return — see agent actions.
debug.dialog_stack	array	Path of dialog nodes traversed
user_message_counter	integer	Total user messages in the session

The endpoint can return a context update and, optionally, a responses array. If responses is present, it replaces the agent's planned reply and is delivered as-is — no templating or context-variable substitution is applied.

Test your webhook

Each webhook in the UI has a built in tester that sends a real request to your endpoint.

Simple test

Click Send test request to fire a default payload. The right hand panel shows the HTTP status code, execution time, and response body.

Success

Error

Update context variables from the test

When your endpoint returns context fields, you can click Update context variables to register them as known variables in the AI Agent. Once registered, they appear in the auto complete inside dialog nodes and other webhooks.

Advanced test

The Advanced test section lets you edit the request payload before sending — useful for reproducing a specific session's context or trying edge cases.

Use case examples

The following are the patterns customers use most often. Each one points to a worked implementation in Build a webhook.

• Live instructions on session start. Use a first message or pre message webhook to fetch user data from your CRM and inject it into the conversation as the live_instructions context variable. The agent reads it on every turn and personalizes its replies. Worked example: Live instructions.

• Validate user input mid conversation. Drop a dialog webhook action into a workflow node to check something the user said against your backend before the conversation continues. Update context with the result and branch on it downstream. Worked example: Validate input.

• Audit or override the agent's reply. Use a post message webhook to inspect the agent's planned reply and either log it or replace it. Useful for compliance review and trailing analytics. Worked example: Post message audit and override.