External AI provider · 7 pre-built actions
Google Gemini integration with Nexus
Call Google Gemini from a workflow when policy allows. Text, vision and audio actions let workflows use Gemini as an optional external system.
This is an external AI provider. It is separate from Nexus Sovereign AI, which runs models inside your deployment. Workflows call this provider only when your policy allows data to leave your environment.
Pre-built actions
What you can automate
7 pre-built Google Gemini actions, grouped by what they work on.
7
PRE-BUILT ACTIONS
- 01Text actions send text requests.
- 02Vision actions work with images.
- 03Audio actions work with audio input.
Workflow
How it fits into a Nexus workflow
Google Gemini steps run as pre-built actions. A run that uses them starts from a webhook, a schedule, a request in Nexus or another system's trigger source.
A trigger source starts work. A connector action performs work. Both run inside the same governed execution.
Beyond pre-built actions
When the pre-built action is not enough
Move down one step: an API, protocol or database call, then custom logic in Python, Bash, Go, Java, .NET, PHP, PowerShell or JavaScript/TypeScript with any library. Every step uses the same secrets, approvals, history and audit.
01
Call the Google Gemini API with the HTTP Request node, or use GraphQL, SOAP or a database node where the system exposes one.
02
Write custom integration logic in Python, Bash, Go, Java, .NET, PHP, PowerShell or JavaScript/TypeScript, with the libraries your team already uses.
03
Direct calls and code use the same vault-backed secrets, approvals, run history and audit as pre-built actions.
Examples
Workflow examples
Policy-gated image processing
Rules decide whether an image may leave the environment before a request is sent.
Human review of outputs
Provider output is reviewed before any system write.
Fallback to sovereign models
Sensitive items are routed to models inside your deployment instead.
Deployment, trust and audit
Governance, audit and deployment
Deployment
Nexus runs on-premises, in private or sovereign cloud, or air-gapped. The step needs network reach to the system it calls, and nothing else changes.
Secrets and identity
Credentials are referenced through vault-backed secret handling and role-based access, never embedded in workflow logic.
Audit
Inputs, outputs, approvals and outcomes are written to the execution history for every run.
FAQ
Google Gemini connector questions
- Which Google Gemini actions are pre-built?
- Nexus includes 7 pre-built Google Gemini actions across Audio (2), Vision (3) and Text (2).
- Can Google Gemini start a workflow?
- Runs that use Google Gemini start from a webhook, a schedule or another trigger source. Google Gemini steps run as actions inside the workflow.
- What if the operation I need is not pre-built?
- Use the Google Gemini API through the HTTP Request node, or write the step in Python, Bash, Go, Java, .NET, PHP, PowerShell or JavaScript/TypeScript. It runs in the same workflow with the same approvals and audit.
- Is this the same as Nexus Sovereign AI?
- No. Sovereign AI runs models inside your deployment. Gemini is an external provider that workflows call only when your policy allows.
Related reading
Continue from here
- Nexus Sovereign AI
Models that run inside your deployment.
- OpenAI connector
Another optional external provider.
- Human-in-the-loop
Where approval belongs in a running workflow.
- Integration patterns
How systems work together in a complete process.
Integration review
Discuss how Google Gemini fits your process.
Bring the operation you need. We will map it to a pre-built action, or to the API, protocol or code step that covers it.