OpenAI AgentKit Integration
Create intelligent AI agents that can autonomously process, organize, and manage files using OpenAI's AgentKit framework. Build sophisticated file processing workflows with AI decision-making.
Frequently Asked Questions
- Can the agent operate autonomously?
- Yes. You can configure human-in-the-loop checkpoints or allow full autonomy with guardrails like confidence thresholds and safe file destinations.
- How are API keys secured?
- We recommend storing keys in your platform secret store and injecting them at runtime. The connector reads from environment variables or your secret manager.
- Is there a sandbox for testing?
- Use the free tier and a test workspace in renamed.to to safely validate agent flows before enabling in production.
Before You Connect
- OpenAI account with access to AgentKit
- Node.js 18+ or Python 3.10+
- renamed.to API key
How It Works
Install the AgentKit SDK and the renamed.to connector
Authorize the connector with your renamed.to API key
Give the agent capabilities to analyze documents and request file renames via the connector
Before → After
Upload 123.pdf
2025-10-15_invoice_globex_inv-123.pdf
Agent decides naming context and destination, then calls renamed.to via connector.
Contract_draft_final_FINAL.pdf
2025-10-01_msa_globex_draft-v7.pdf
Agent routes to review path and applies consistent naming.
Why Teams Choose OpenAI AgentKit
- Autonomous AI agent capabilities
- Complex workflow orchestration
- Natural language processing integration
- Multi-step decision making
- Integration with OpenAI models
- Advanced automation scenarios
Who Uses It
Common Use Cases
Intelligent Document Processing
Build AI agents that understand document context and make processing decisions
AI agent analyzes document → Determines processing path → Applies appropriate naming → Routes to correct system
Automated Workflow Creation
Create dynamic workflows based on file content and business rules
Agent examines files → Creates custom processing workflows → Adapts based on patterns and requirements
Conversational File Management
Build chat-based interfaces for file processing and organization
User describes file organization needs → Agent creates and executes processing workflow → Provides status updates
Setup Guide
Follow these steps to get started in minutes
Set Up OpenAI AgentKit
Install and configure OpenAI AgentKit with renamed.to integration
npm install @openai/agentkit @renamed.to/agent-connector
# or
pip install openai-agentkit renamed-to-connectorConfigure Agent Environment
Set up the agent runtime with necessary permissions and APIs
import { AgentKit } from '@openai/agentkit';
import { RenamedToConnector } from '@renamed.to/agent-connector';
const agent = new AgentKit({
connectors: [new RenamedToConnector({
apiKey: process.env.RENAMED_TO_API_KEY
})],
model: 'gpt-4'
});Define Agent Capabilities
Configure what file processing tasks the agent can perform
const capabilities = [
'analyze-file-content',
'determine-processing-strategy',
'apply-naming-templates',
'route-to-destinations',
'create-organization-rules'
];
await agent.registerCapabilities(capabilities);Deploy Agent Workflows
Set up and activate your AI file processing agents
Ready to go!
You're all set. Your files will now be automatically renamed and organized.
Related Integrations
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Set up in minutes. Start organizing files automatically.