Integrations

Supercharge Open Router with Relevance AI

Open Router is a cutting-edge platform that simplifies the integration and management of various AI models and APIs.

Enhance your AI capabilities by combining Open Router's unified API management with Relevance AI's powerful agent creation and workflow automation.

Give your AI Agents Open Router Superpowers

Open Router streamlines integration of multiple AI models through a unified API. Relevance AI transforms this capability into intelligent AI agents that can orchestrate complex workflows across multiple models and data sources.

Seamless Workflow Orchestration

Integrating with Open Router enables agents to automate complex workflows effortlessly.

Real-time Insight Generation

Agents can process data instantly, providing actionable insights as events unfold.

User-friendly Development

Agents can be built and managed easily through a no-code interface, lowering technical barriers.

Tools

Equip AI Agents with the Open Router Tools they need

Relevance AI gives you access to Open Router's unified API management capabilities within your AI agent workflows.

Security & Reliability

The integration leverages secure OAuth authentication, ensuring authorized access to OpenRouter's AI models through Relevance AI's interface. Built-in request handling manages API operations seamlessly, with automatic formatting and rate limiting for reliable model interactions.

Standardized input validation and response parsing ensure consistent performance across different AI models and response types.

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 OpenRouter + Relevance AI integration without writing code:
  • Configure API settings properly: Set appropriate model parameters and response formats.
  • Optimize prompts: Use clear, specific prompts with consistent formatting for best results.
  • Monitor usage: Keep track of API calls and credit consumption to manage costs.
  • Handle responses carefully: Implement proper error handling and response validation.
  • Test thoroughly: Start with small-scale tests before deploying large workflows.