Add example: AgentOps + UncommonRoute cost optimization

[Vivien202]

Summary

Adds an example showing how to combine AgentOps (cost tracking) with UncommonRoute (intelligent LLM routing) for end-to-end cost visibility and optimization.

What's included

• examples/uncommonroute/ directory with:
  • uncommonroute_cost_optimization.py — working example that sends tasks of varying complexity through UncommonRoute, with AgentOps tracking every call
  • README.md — setup instructions and explanation of the observe → optimize → verify loop
  • requirements.txt

Why this is useful for AgentOps users

AgentOps shows you what you're spending. UncommonRoute reduces that spend by routing each request to the cheapest model capable of handling it. Together they close the feedback loop — you can verify in the AgentOps dashboard that routing actually reduced costs.

The example demonstrates this with concrete tasks ranging from trivial ("hello") to complex ("design a distributed scheduler"), showing how different complexity levels get routed to different cost tiers.

No changes to AgentOps core

This only adds files under examples/ — zero changes to library code.