Integrations

Supercharge Stealth GPT with Relevance AI

Stealth GPT is an advanced AI language model designed for enterprise-grade natural language processing and generation.

Enhance its capabilities with Relevance AI's no-code agent builder to create sophisticated AI agents that can handle complex queries and automate multi-step processes.

Give your AI Agents Stealth GPT Superpowers

Stealth GPT delivers sophisticated natural language understanding and generation. Relevance AI transforms these capabilities into intelligent AI agents that can automate complex workflows and deliver personalized interactions at scale.

Contextual Awareness

The agent maintains context over conversations, ensuring relevant and personalized interactions.

Rapid Response Generation

Equips the agent to deliver quick and accurate responses, significantly reducing wait times.

Data-Driven Insights

Utilizes analytics to inform strategies, enabling the agent to adapt and improve over time.

Tools

Equip AI Agents with the Stealth GPT Tools they need

Relevance AI gives you access to Stealth GPT's advanced language capabilities within your AI agent workflows.

Security & Reliability

The integration leverages secure OAuth authentication to protect StealthGPT API access while Relevance AI manages request methods and response handling behind the scenes. Built-in validation ensures proper formatting of API calls and data transformations across your workflows.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the StealthGPT + Relevance AI integration without writing code:
  • Configure API authentication: Ensure proper OAuth setup and permission scopes are granted.
  • Structure API requests: Use consistent request formats and follow StealthGPT's endpoint patterns.
  • Manage response handling: Account for different response types (array, object, string) in your workflows.
  • Monitor API usage: Keep track of API calls and stay within rate limits.
  • Validate endpoints: Test each API path before implementing in production workflows.