Quiz połączony z przewodnikiem · Średni Poziom

Subagenci i quiz dotyczący izolacji kontekstu

Testuje, dlaczego agenci przekazują pracę podagentom w nowym kontekście, w jaki sposób podsumowania przekazania powodują utratę informacji i kiedy równoległi podagenci pomagają, a kiedy przeszkadzają.

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Pytanie 1 z 8

What mainly separates a subagent from the main agent?

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  1. What mainly separates a subagent from the main agent?
    • It uses a different programming language
    • It always uses a larger model
    • It works in its own fresh context window and sends back a condensed result
    • It has no access to tools
  2. Why can a filling context window be a problem even before its hard limit?
    • Quality often drops as irrelevant material piles up
    • The model's weights change
    • Tokens become cheaper
    • Tools stop working
  3. Which task is the best fit for a subagent?
    • Choosing the overall architecture of a codebase
    • Writing tightly linked parts of one function in parallel
    • Keeping naming consistent across a project
    • Searching a large repository for every caller of a function
  4. What is a main source of information loss with subagents?
    • Subagents delete files
    • Summaries drop details, and subagents know only what the task description said
    • Subagents cannot read text
    • The main agent forgets its own instructions
  5. Why do multi-agent setups usually cost more tokens?
    • Each subagent reloads instructions and repeats some exploration
    • Subagents are billed at double rates
    • Summaries are longer than the original work
    • Parallel work is always billed as sequential
  6. Why can parallel subagents produce incompatible results?
    • They share one context window
    • They always use different models
    • They cannot see each other's work while running
    • They run too slowly
  7. What should a good subagent task description include?
    • Only a single word
    • The main agent's full transcript
    • Nothing, so the subagent stays unbiased
    • The goal, constraints, scope and exact output format
  8. Why might a code-review subagent catch problems the main agent missed?
    • It has more tools
    • It has not seen the main agent's reasoning, so it is less likely to share the same assumptions
    • It always uses a larger model
    • It reads the code faster