Compatible with every major AI agent and IDE
Add file to collection on Open WebUI
Add a file to a knowledge collection
Chat completed on Open WebUI
Run outlet filters for completed chat
Chat completions on Open WebUI
OpenAI-compatible chat completion
Create new chat on Open WebUI
Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)
Get file status on Open WebUI
Check file processing status
List models on Open WebUI
Retrieve all models
Ollama embed on Open WebUI
Ollama API Embeddings
Ollama generate on Open WebUI
Ollama API Generate Completion
Ollama tags on Open WebUI
List Ollama models
Process web url on Open WebUI
Process a web URL into a collection
Send message on Open WebUI
Anthropic-compatible message generation
Upload file on Open WebUI
Content is extracted and stored in the vector DB. Provide file content as base64. Upload a file for RAG
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.
How can I check if a model is available in my Open WebUI instance?
You can use the list_models tool. It will return a complete list of all configured models, including those from Ollama, OpenAI, and internal Open WebUI functions.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Automated Workflows using Open WebUI
Securely interface Claude Code, ChatGPT, and Cursor with the Open WebUI API through semantic routing and standardized natural language triggers.
Secure llm management Access for Agents
Add Open WebUI to your workspace to support llm management automation. The integration processes the required parameters for loved by devs execution by LLMs.
Scaling rag via MCP
Use Open WebUI to interface with rag via natural language. The toolkit provides Cursor with LLM-friendly schemas for loved by devs tasks.
Open WebUI. 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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