Autogen Multi Agent Services
Packages & Pricing.

AutoGen multi agent development for collaborating AI teams

AutoGen multi agent development sets several AI agents talking to each other so they can solve a problem no single prompt would handle well. Omeiro configures group chats where agents propose, check and correct each other, with code execution happening in a sandbox.

The approach fits code verification, simulated test conversations and multi-turn negotiation. You get the source and a design you can explain to your team.

AutoGen multi agent design choices that affect the build

More agents is not automatically better. Each extra agent adds cost, latency and another place for a conversation to wander, so a good AutoGen multi agent design starts with the fewest roles that can do the job, typically a planner, a worker and a critic. The speaker selection rule matters as much as the roles, because it decides whether agents take useful turns or talk in circles. Describe the task, who should check whose work, and when the chat must stop.

Bring examples of tasks the system should handle and cases where it should fail safely. Termination conditions, maximum turns and spending limits protect you from runaway conversations, so these are set during the build. An AutoGen multi agent setup that executes code also needs clear rules about which packages and files the sandbox may touch. Ask for test scenarios that replay awkward inputs, since they show where agents disagree or repeat themselves before real users find out.