Agent Access Control Template
This workflow dynamically manages user access to AI tools based on the roles and available tools set by users in Airtable, using intelligent permission control. It combines technologies such as Telegram message triggers, OpenAI GPT-4o conversation processing, and permission verification to ensure that users with different roles can only access authorized functions, preventing unauthorized use. This system is suitable for scenarios such as multi-role management within enterprises, SaaS platform permission control, and intelligent customer service, effectively enhancing security and user experience.

Workflow Name
Agent Access Control Template
Key Features and Highlights
This workflow implements dynamic permission control based on user identity. It intelligently determines and restricts user access to various AI tools according to roles and allowed tool lists pre-configured in Airtable. The workflow integrates multiple technologies including Telegram message triggers, OpenAI GPT-4o language model conversations, dynamic permission validation, and sub-agent task delegation. It supports multi-tool collaboration while ensuring secure and compliant access control.
Core Problems Addressed
- Fine-grained management of user access to AI-assisted tools to prevent unauthorized use or misuse.
- Automated permission verification to reduce manual intervention and improve operational efficiency.
- Automatic loading of user-specific roles and tool permissions to enhance user experience and system security.
Application Scenarios
- Managing multi-role, multi-permission AI assistants within enterprises to ensure employees access only authorized functions.
- Controlling available AI features on SaaS platforms based on subscription tiers or user levels.
- Implementing permission isolation and security auditing in multi-tool integrated intelligent customer service or data analytics systems.
- Intelligent agent permission management for interactions via instant messaging platforms such as Telegram.
Main Workflow Steps
- Telegram Trigger: Listens for user messages to initiate the workflow.
- Get User Permissions (Airtable Query): Retrieves the user’s roles (
granted_roles
) and allowed tools (allowed_tools
) from the Airtable database based on the Telegram username. - Unknown User Check: Automatically replies with a prompt to contact the administrator if the user is unregistered.
- Set Input: Formats and prepares the user permission data.
- Check Permissions: Uses a custom code node to dynamically replace unauthorized tools with a fixed response tool that outputs “Unauthorized to use this tool,” ensuring enforcement of permissions.
- Main Agent (OpenAI GPT-4o): Acts as the core intelligent agent, conducting smart conversations and task processing based on user input and permitted tools.
- Sub-agent Weather Agent: Handles weather-related requests through a dedicated sub-agent and specialized tool querying a weather API, with permission checks applied.
- Simple Memory: Manages conversation context and supports multi-user session state maintenance.
- Reply with Results: Sends the final response back to the user via Telegram.
Involved Systems and Services
- Telegram: Serves as the entry point for user messages and the channel for delivering replies.
- Airtable: Stores user permission data, including roles and allowed tools.
- OpenAI GPT-4o Model: Provides natural language understanding and generation as the core language engine of the intelligent agent.
- HTTP Request Tool: Calls weather and geolocation APIs to fetch real-time data.
- n8n Built-in Code Node: Executes dynamic permission validation logic.
Target Users and Value
- Enterprise IT administrators and automation engineers seeking to build secure, compliant multi-role AI assistant systems.
- SaaS product managers and developers aiming to rapidly implement permission management features to enhance product competitiveness.
- Teams providing intelligent services via instant messaging platforms (e.g., Telegram) who want seamless user identity recognition and access control.
- End users benefiting from personalized and secure AI assistant services through permission segmentation, avoiding conflicts and data leakage risks.
By efficiently integrating multiple systems and intelligent tools with a flexible dynamic permission validation mechanism, this workflow delivers a comprehensive access control solution for AI assistant usage in multi-user, multi-role environments, significantly enhancing security and user experience in intelligent automation applications.