Unverified50% confidenceSolutionExact time
When the number of project files exceeds the token limit that the model can process in a single pass, manually scoping relevant files using the @ marker can reduce irrelevant responses and lower token consumption.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBy carefully managing context (excluding irrelevant directories, using project summaries, and periodically resetting conversations), token consumption can be reduced by 60%–80%.71% similarUnverifiedIn code programming scenarios, passing an entire codebase as long context may consume tens of thousands to hundreds of thousands of tokens in a single call; it is recommended to use a .claudeignore configuration file to exclude irrelevant files and control costs.69% similarUnverified对于使用长系统提示、RAG文档注入或代码仓库上下文的企业级应用，显式断点可将Token成本降低40%-70%69% similarUnverifiedIn FAQ and customer service scenarios, semantic caching can reduce actual token consumption of high-repetition workloads by 30%–60%.67% similarUnverifiedCodeGraph reduces token consumption by 47% compared to traditional file-by-file searching approaches67% similar
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