More input types create more paths
Normalize text, images, files, tools, and associated metadata so policy stages can make consistent decisions.
Google Gemini integration
Bring Gemini under the same enforceable governance plane.
Entrovik's native Gemini adapter translates messages, system instructions, tools, function calls, embeddings, model responses, and usage without pushing provider-specific logic into policy packages.
Why teams act
AI adoption creates a new control surface. Put enforcement in the path.
Entrovik gives security, platform, compliance, and application teams a shared technical boundary without coupling enterprise policy to one provider SDK.
Fast model catalogs outpace approvals
Apply model policy and cost configuration independently of hard-coded pricing or application allowlists.
Governance cannot stop at generation
Apply request policy to embedding inputs before they are sent to Gemini's embedding endpoint.
Enforcement model
Central policy with application-level context.
Every decision can use normalized content plus tenant, identity, team, application, provider, model, stage, and configured policy metadata.
01Native generateContent
Translate normalized roles, parts, tools, and system instructions to the Gemini API.
02Live generation streaming
Consume Gemini SSE and evaluate normalized accumulated candidates before guarded live release.
03Embedding governance
Inspect normalized embedding input using the same tenant runtime and policy ecosystem.
04Usage normalization
Map Gemini token metadata into consistent audit, analytics, and cost-governance records.
In the request path
One decision lifecycle. Every interaction.
Policies remain modular packages. The core resolves, executes, contains, explains, measures, and audits them.
- 01
Authenticate the Entrovik API client and resolve tenant policy
- 02
Normalize generation or embedding input and execute the ordered request policies
- 03
Convert the allowed request through the native Gemini adapter
- 04
Normalize candidates, function calls, finish reasons, and token metadata
- 05
Execute response policies and return a compatible response with content-free audit evidence
Technical FAQ
Questions teams ask before deployment.
Does Entrovik support Gemini embeddings?
Yes. The native Gemini adapter includes batch embedding conversion and usage-safe response handling.
Can policies inspect images?
Policies receive normalized multimodal metadata and text parts. Binary image interpretation requires a policy designed for that capability; no network or host access is granted by default.
Are Gemini API keys placed in YAML?
No. Configuration points to an environment or managed secret reference rather than encouraging literal credentials.
Can we govern Gemini alongside local models?
Yes. Provider choice remains separate from the policy pipeline, allowing common governance across Gemini, OpenAI-compatible local endpoints, and other adapters.
Put it in front of a real workflow
Turn your AI policy into an enforced decision.
Bring one provider path, one policy requirement, and the architecture your reviewers need to trust.