Unverified50% confidenceFactExact time
In the APIs and product interfaces of some frontier models, effort level is a knob adjusting the model's reasoning budget, manifested through two dimensions—how long the model is allowed to think before its final answer and how many self-verifications, tool calls, or parallel sub-agent tasks it initiates—rather than a change in the model's parameter count.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedAnthropic's Tool Use technology provides the underlying support for the Agent loop, enabling the model to call external tools during the reasoning process and continue reasoning based on the returned results.76% similarUnverifiedThe credit system is a common billing method for Agent products, usually calculated based on the model invocation volume and number of tool executions consumed by a task, and compared with monthly subscriptions it is closer to the actual computing cost.74% similarUnverifiedAgent流式输出将模型生成过程实时呈现给用户，包括思考步骤、工具调用过程、中间推理状态73% similarUnverifiedHook middleware provides the ability to insert custom logic at key nodes in the Agent execution flow, allowing hooks to be attached before model invocation, after tool execution, during context assembly, and at other points, enabling functions such as logging, permission validation, content filtering, and performance monitoring.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1029740API
curl https://kongchang.com/api/v1/knowledge/claims/1029740MCP
get_claim(id=1029740)