AI Optimizer for Developers – Local Caching for OpenAI, Anthropic, Agents, and Automations

AI Optimizer extension screenshot showing requests and cache-hit totals

A quick operator view for confirming repeated requests and cache-hit behavior without needing the full desktop app open all the time.

Why developers use it

Many developer workflows repeat the same model calls across scripts, tools, retries, local automations, and agent loops. AI Optimizer helps by caching repeated traffic locally and making that behavior easier to control.

Keep your current setup

You usually do not need to redesign your workflow. In many cases, the practical change is routing your base URL through the local optimizer endpoint on http://localhost:3000/v1.

Compatible with agents and automations

AI Optimizer works well with repeat-heavy agent-style workflows, local assistants, scripts, and recurring jobs where the same API paths are revisited constantly.

Provider support in v2.2.0

AI Optimizer now supports both OpenAI and Anthropic with one active provider at a time. OpenAI support remains broader, while Anthropic support in this release is focused on chat completions.

Typical config change

Point your workflow at the local optimizer.

For many tools and scripts, the main setup change is routing traffic through AI Optimizer locally:

OPENAI_BASE_URL=http://localhost:3000/v1

That lets your local workflow hit the optimizer first, reduce repeated spend, and keep visibility into request behavior.

Adjustable cache TTL

AI Optimizer includes an adjustable cache TTL, which is especially useful for cron jobs, recurring automations, and repeat-heavy local workflows where the same request pattern shows up on a predictable schedule.

Practical compatibility

AI Optimizer is designed to fit into real local workflows, not just polished demos. The strongest current examples remain repeat-heavy OpenAI toolchains, while Anthropic support in v2.2.0 expands the same local proxy model.

OpenClaw setup

Keep the current OpenClaw path simple.

AI Optimizer works well with local OpenClaw workflows where repeated API usage, memory flows, and agent-style tasks can create duplicate or recurring request patterns.

"models": {
  "providers": {
    "openai": {
      "baseUrl": "http://localhost:3000/v1"
    }
  }
}

Current documented examples remain strongest around OpenAI-based OpenClaw workflows, while Anthropic support now expands the same local proxy model.

Hermes setup

Use the same local endpoint for Hermes-Agent.

If your Hermes workflow repeatedly calls the same models through local scripts or tools, AI Optimizer can help reduce waste without forcing you to rebuild the surrounding workflow.

Select provider: Custom endpoint
API base URL: http://localhost:3000/v1
API key: your OpenAI API key
Model: gpt-5.4
Start chat: hermes --tui

That gives Hermes-Agent the same local proxy path and lets you verify requests and cache hits in one place.

Keep your workflow. Cut the repeated waste.

Use AI Optimizer as a local drop-in layer for the scripts, tools, agents, and command-line flows you already run.

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Built for repeat-heavy tools, scripts, and local AI workflows.