Round-Robin Communication

This example demonstrates how to set up a cyclic communication pattern between agents using LLMling's connection system.

flowchart LR
    player1[player1]
    player2[player2]
    player3[player3]
    player1--|run|-->player2
    player2--|run stop:check|-->player3
    player3--|run|-->player1

Note

Mermaid diagrams can be generated using pool.get_mermaid_diagram() for a whole pool, as well as ConnectionManager.get_mermaid_diagram() for a single agent.

Running the Example

Start the chain by sending a word to player1:

llmling-agent run player1 "start" --show-messages

Example output:

player1: "tree"
player2: "elephant"
player3: "tiger"
player1: "robot"
...

How it Works

1. Each agent is configured with the same system prompt defining the word chain game
2. Agents are connected in a circle: player1 -> player2 -> player3 -> player1
3. Messages flow through the connections automatically
4. Optional stop condition can terminate the loop when needed

Adding Controls

You can add various conditions to control the conversation:

• Stop condition to end the chain based on cost/tokens/messages
• Transform function to modify messages
• Filter condition to control which messages pass through

Open in Pydantic Playground