Veo 3 is Google's state-of-the-art model for generating high-fidelity 8s 720p videos with natively generated audio via the Gemini API.
Veo 3 is Google's state-of-the-art model for generating high-fidelity 8s 720p videos with natively generated audio via the Gemini API. On Nagent, Veo is exposed as a fully-configurable artificial intelligence integration that any agent can call — 5 actions, and API key authentication. No code is required to wire Veo into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Veo to automate the kinds of tasks artificial intelligence teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire Veo into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against Veo, with input parameters and output schema. Drop these into any step of an agent built in Helix.
VEO_DOWNLOAD_VIDEODownload video (veo)
Input parameters
Download URI from operation response
Local file path to save the video
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
VEO_GENERATE_VIDEOSGenerate videos (veo)
Input parameters
Model to use. Examples: 'veo-3.0-generate-preview', 'veo-3.0-fast-generate-preview', 'veo-2.0-generate-001'
Additional parameters passed through to API
Text prompt for Veo video generation
Desired aspect ratio, e.g., 16:9, 1:1, 9:16
Elements to avoid in the generated video
allow \\ | dont_allow (regional constraints apply)
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
VEO_GET_VIDEOS_OPERATIONGet videos operation (veo)
Input parameters
Operation resource name returned by predictLongRunning
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
VEO_LIST_MODELSList models (gemini api)
Input parameters
Filter models by name prefix (client-side)
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
VEO_WAIT_FOR_VIDEOWait for video (veo)
Input parameters
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 50 agents privately built on Nagent that already use Veo.
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Connect Veo to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find Veo, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Veo is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Veo is connected, you configure its 5 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Veo steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a Veo event fires, the agent kicks off automatically.
Every Veo action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While Veo ships with 5 pre-built artificial intelligence actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Veo together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Veo-based workflows tailored to your business.