Launch

Launch: RelayPlane Playground Demo - Preview Multi-Agent Workflows

Explore RelayPlane's upcoming multi-agent capabilities through our interactive demo playground. See simulated workflows, fallback chains, and cost optimization in action.

Matthew Turley
June 15, 2025
4 min read
Launch: RelayPlane Playground Demo - Preview Multi-Agent Workflows

Launch: RelayPlane Playground Demo - Preview Multi-Agent Workflows

We're excited to launch the RelayPlane Playground — an interactive demo that showcases the multi-agent workflow capabilities coming to the RelayPlane SDK.

Important Note: This playground uses simulated responses to demonstrate concepts. No real LLM API calls are made. All metrics, costs, and agent responses are pre-written for demonstration purposes.

The new RelayPlane Playground Demo lets you explore and preview multi-agent workflow concepts — experience the future of AI orchestration.

Why This Matters

Every LLM builder I know has rewritten the same boilerplate: retries, logs, API juggling, multi-call logic, etc.

RelayPlane will abstract that into a single control layer — with full observability, fallback, caching, and cost tracking built in.

What You Can Explore in the Demo

  • Interactive Playground UI (public, no login required)
  • Simulated Multi-Agent Workflows with realistic responses
  • Agent Chaining Concepts with step-by-step execution
  • Fallback Demonstrations showing seamless retry logic
  • Cost & Performance Metrics (simulated but realistic)
  • Workflow Customization with different agent combinations

✨ Example: Research Chain with Claude + GPT-4

import { relay } from '@relayplane/sdk'

const result = await relay({ workflow: [ { step: 'search', agent: 'gpt-4o', payload: { messages: [{ role: 'user', content: 'What are the latest trends in AI?' }], temperature: 0.3 } }, { step: 'synthesize', agent: 'claude-3-sonnet', payload: { messages: [{ role: 'user', content: 'Search result: ...search result here...

Summarize and provide insights.' }], temperature: 0.5 } } ], stream: true })

console.log('Final Summary:', result.synthesize)

It just works — with retry, logs, timing, and fallback all included.

Try the Playground

We built a visual version so you can test ideas quickly:

👉 Playground is live

  • Add GPT-4 or Claude nodes
  • Use your OpenAI key
  • See logs and output for each step

What's Under the Hood

RelayPlane takes your high-level workflow and turns it into:

  • A validated execution graph
  • Sequential or parallel call engine
  • Smart fallback routing
  • Structured results per node
  • Unified observability and cost tracking
It works with your own keys and doesn't lock you into any vendor.

What's Next

  • 🔁 Claude + Gemini support — live this week
  • 💡 Optimize™ engine — route to fastest/cheapest
  • 🧱 Plugin SDK — build custom agent logic
  • 📊 Dashboards — usage, latency, and cost

Ready to Ship with Less Glue

Try the Playground or plug RelayPlane into your app using 3 lines of code.

👉 https://relayplane.com/playground

Feedback welcome — DM @relayplaneai on X or join the waitlist.

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