Overview

Building agentic demos is easy. Shipping agentic applications safely, reliably, and repeatably to production is hard. After the thrill of a quick hack, you end up building the “hidden middleware” to reach production: routing logic to reach the right agent, guardrail hooks for safety and moderation, evaluation and observability glue for continuous learning, and model/provider quirks scattered across frameworks and application code.

Plano solves this by moving core delivery concerns into a unified, out-of-process dataplane.

• 🚦 Orchestration: Low-latency orchestration between agents; add new agents without modifying app code.
• 🔗 Model Agility: Route by model name, alias (semantic names) or automatically via preferences.
• 🕵 Agentic Signals™: Zero-code capture of Signals plus OTEL traces/metrics across every agent.
• 🛡️ Moderation & Memory Hooks: Build jailbreak protection, add moderation policies and memory consistently via Filter Chains.

Plano pulls rote plumbing out of your framework so you can stay focused on what matters most: the core product logic of your agentic applications. Plano is backed by industry-leading LLM research and built on Envoy by its core contributors, who built critical infrastructure at scale for modern worklaods.

High-Level Network Sequence Diagram:

Jump to our docs to learn how you can use Plano to improve the speed, safety and obervability of your agentic applications.

[!IMPORTANT] Plano and the Plano family of LLMs (like Plano-Orchestrator) are hosted free of charge in the US-central region to give you a great first-run developer experience of Plano. To scale and run in production, you can either run these LLMs locally or contact us on Discord for API keys.

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Build Agentic Apps with Plano

Plano handles orchestration, model management, and observability as modular building blocks - letting you configure only what you need (edge proxying for agentic orchestration and guardrails, or LLM routing from your services, or both together) to fit cleanly into existing architectures. Below is a simple multi-agent travel agent built with Plano that showcases all three core capabilities

📁 Full working code: See demos/agent_orchestration/travel_agents/ for complete weather and flight agents you can run locally.

1. Define Your Agents in YAML

# config.yaml
version: v0.3.0

# What you declare: Agent URLs and natural language descriptions
# What you don't write: Intent classifiers, routing logic, model fallbacks, provider adapters, or tracing instrumentation

agents:
  - id: weather_agent
    url: http://localhost:10510
  - id: flight_agent
    url: http://localhost:10520

model_providers:
  - model: openai/gpt