Hermes Agent requests are consumed too quickly, usually not because "it's too expensive", but because there are too many tool call loops: search once, read the page once, search again, each step may be a separate request. When using a pay-per-request plan, proactively limit the scope of tasks and tool iterations.
Determine what you are billed for first
If you are using token billing, long contexts and large file reads are more likely to affect costs. If you are using a request-based solution, the most important thing to focus on is how many times the model is called in a task. In recent community discussions, many users' pain points are that "a research problem eats dozens of requests".
The most effective practice
- Write the question narrowly: instead of saying "help me research this industry", change it to "only check official documents and three latest information, and give a conclusion".
- Limit tool loops: Clearly state in the task "Search up to 3 times, and must summarize after reading 5 pages".
- Lowered the iteration limit for large tasks: There is a
agent.max_turnsin the official configuration, which is used by default to control the maximum iteration of a single round of dialogue. - Segment complex tasks: Let Hermes list the plans before confirming the parts to be executed, so it doesn't run all at once.
Don't use compression as a money-saving switch
Context compression keeps long sessions going, but compression itself also calls the helper model. It solves the problem of "context doesn't fit", not automatically cutting all costs in half. The real way to save requests is to reduce unnecessary searches, browsing, duplicate file reads, and goalless tool calls.
In a word: when billing on request, Hermes is the executor, not the infinite explorer. Give the scope, give the upper limit, and let it be delivered in stages, and the cost will be much more controllable immediately.
