Models, artifacts, and runtimes · Lesson 7 of 16 · 8 min

Read context limits

Input tokens and reserved output share a context budget. Check the combined planned use rather than comparing the prompt alone with the limit.

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learner@clairos:~ $

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Your objectives

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1
Read the case evidence
Read /opt/ai-lab/cases/aiops-models-runtimes-007.json. Separate the recorded facts from your assumptions.
Hint & worked example
Input tokens and reserved output share a context budget. Check the combined planned use rather than comparing the prompt alone with the limit.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-models-runtimes-007.json
```
Common mistake to avoid: The request fits because the prompt alone is below 8192.
2
Isolate the deciding signal
Select the fits field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Reduce the input or reserved output because 7200 + 2048 exceeds 8192.
A successful JSON query isolates fits.
```
jq .fits /opt/ai-lab/cases/aiops-models-runtimes-007.json
```
Common mistake to avoid: Using a different case or an unrelated signal as the justification.
3
Record your operational decision
Choose the justified code: reduce-context-use, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-models-runtimes-007-decision.txt.
Hint & worked example
Reduce the input or reserved output because 7200 + 2048 exceeds 8192.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'reduce-context-use' > /home/learner/lab/aiops-models-runtimes-007-decision.txt
```
Common mistake to avoid: The request fits because the prompt alone is below 8192.

Understand the pattern

Input tokens and reserved output share a context budget. Check the combined planned use rather than comparing the prompt alone with the limit.

Interpret the evidence

Reduce the input or reserved output because 7200 + 2048 exceeds 8192.

A tempting mistake

The request fits because the prompt alone is below 8192.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result

$ cat /opt/ai-lab/cases/aiops-models-runtimes-007.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "input_tokens": 7200,
  "reserved_output_tokens": 2048,
  "context_limit": 8192,
  "fits": false
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .fits /opt/ai-lab/cases/aiops-models-runtimes-007.json

false

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'reduce-context-use' > /home/learner/lab/aiops-models-runtimes-007-decision.txt

(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “reduce-context-use” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Read context limits” justify?Make the change now and gather the missing evidence afterward.Reduce the input or reserved output because 7200 + 2048 exceeds 8192.The request fits because the prompt alone is below 8192.

Apply it elsewhere

A colleague concludes: “The request fits because the prompt alone is below 8192.” What should you do?Reject that conclusion; return to the case evidence and its stated limits.Accept it because the training command completed.Treat this fixture as a live measurement.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Inspect tokenizer metadata Try an incident drill

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Keep learning

Case methodology: evidence, limits, decision