Compatible with every major AI agent and IDE
Get metrics on Aporia
Get performance and drift metrics for an Aporia monitored model
Get model on Aporia
Get specific details for a monitored Aporia model
List dashboards on Aporia
List custom dashboards configured in the Aporia workspace
List models on Aporia
List Aporia monitored machine learning and LLM models
List monitors on Aporia
List configured Aporia monitors for a specific model
Trigger monitor on Aporia
Trigger an immediate run of a specific Aporia monitor
Validate guardrails on Aporia
g. toxicity, PII, off-topic). Pass an array of messages. Validate LLM interactions against Aporia guardrails
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
If a monitor seems stuck, can the agent force its execution?
Absolutely. If you suspect an anomaly, ask the agent to manually trigger the specific monitor ID. Instead of scheduling a redundant pipeline, the agent hits the Aporia backend to force a run, ensuring your MLOps workflow isn't blocked by cadence limitations.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with Aporia
The Aporia integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Execute llm guardrails Commands with AI
The Aporia connection gives ChatGPT direct access to llm guardrails tools. The integration handles the logic required for continuous fort knox operations.
Scaling model monitoring via MCP
The Aporia toolkit provides structured tools for model monitoring. It enables conversational interfaces like Claude Code to query and modify data within your fort knox infrastructure.
Aporia. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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