Unverified50% confidenceFactExact time
In tool-calling agent evaluations, the per-task token cost includes not only the text generated by the model but also the input token overhead from tool return content being re-injected into the context.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn complex Agent tasks, multi-turn conversations and tool calls rapidly accumulate context length, directly affecting API costs and response speed; token costs can be managed through strategies such as conversation compression and summary caching.70% similarVerifiedAfter the client receives the tool execution result, it needs to construct a message with the role set to tool, carrying the corresponding tool_call_id and execution result to send back to the model.68% similarUnverifiedDecoupling login state from task execution—by using a long-lived browser instance to maintain the login state and having the Agent connect to an already-logged-in session to execute tasks—can avoid consuming the token budget on repeated authentication.66% similarUnverified该工具提供Token用量查看功能，用户需自行配置对话模型和生图模型66% similarUnverified每次工具调用都是一次完整的API请求，导致token消耗、延迟和成本随工具调用次数线性增长66% similar
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