One of the clearest proven use cases for AI Optimizer is agent infrastructure routed through the OpenAI API. We have now verified both OpenClaw and Hermes-Agent through the local proxy. Agent workflows can generate repeated traffic across prompts, embeddings, memory calls, retries, and automation loops, and a local proxy gives you a cleaner way to manage that path.
This is not hypothetical positioning. OpenClaw already routes through the OpenAI API in a way that benefits from a stable local proxy at http://localhost:3000/v1.
OpenClaw memory workflows depend on embedding calls like text-embedding-3-small. AI Optimizer now supports that path cleanly, and we verified live embedding traffic making it through.
When embeddings break, memory quality breaks with them. With the repaired path, OpenClaw memory store and recall are working again through AI Optimizer.
Scheduled runs, recurring prompts, memory checks, and repeat-heavy agent jobs are exactly the kind of workflows where duplicate request waste can quietly pile up. A local optimizer is a cleaner way to control that path.
We verified Hermes-Agent through a custom endpoint pointed at http://localhost:3000/v1, with requests and cache hits confirmed in AI Optimizer.
Instead of managing request behavior separately across each tool, script, or agent loop, you can route them through one local endpoint.
When an agent runs every hour, every four hours, or on a fixed schedule, repeated structure becomes normal. That makes agent infrastructure one of the clearest places to reduce duplicate spend without changing the workflow people already rely on.
A practical OpenClaw setup can point OpenAI-compatible traffic at AI Optimizer locally through http://localhost:3000/v1:
"models": {
"providers": {
"openai": {
"baseUrl": "http://localhost:3000/v1"
}
}
}That gives OpenClaw one local path for prompts, responses, and embedding traffic instead of sending everything directly to OpenAI.
Hermes-Agent also worked through AI Optimizer using a custom endpoint and a manually entered model:
Select provider: Custom endpoint
API base URL: http://localhost:3000/v1
API key: your OpenAI API key
Model: gpt-5.4
Start chat: hermes --tuiThat was enough to route Hermes-Agent through AI Optimizer and verify requests and cache hits in the local app.