Models, artifacts, and runtimes · Lesson 12 of 16 · 8 min

Spot a runtime mismatch

Mismatch diagnosis starts with explicit compatibility evidence. When a runtime rejects an architecture, changing prompt text cannot repair the loader contract.

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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-012.json. Separate the recorded facts from your assumptions.
Hint & worked example
Mismatch diagnosis starts with explicit compatibility evidence. When a runtime rejects an architecture, changing prompt text cannot repair the loader contract.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-models-runtimes-012.json
```
Common mistake to avoid: Rewrite the prompt to fix the artifact loader.
2
Isolate the deciding signal
Select the loader_error field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Use a compatible runtime or artifact; the failure occurs before prompt execution.
A successful JSON query isolates loader_error.
```
jq .loader_error /opt/ai-lab/cases/aiops-models-runtimes-012.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: fix-loader-contract, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-models-runtimes-012-decision.txt.
Hint & worked example
Use a compatible runtime or artifact; the failure occurs before prompt execution.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'fix-loader-contract' > /home/learner/lab/aiops-models-runtimes-012-decision.txt
```
Common mistake to avoid: Rewrite the prompt to fix the artifact loader.

Understand the pattern

Mismatch diagnosis starts with explicit compatibility evidence. When a runtime rejects an architecture, changing prompt text cannot repair the loader contract.

Interpret the evidence

Use a compatible runtime or artifact; the failure occurs before prompt execution.

A tempting mistake

Rewrite the prompt to fix the artifact loader.

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-012.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "loader_error": "architecture decoder-b not supported",
  "prompt_valid": true
}

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

$ jq .loader_error /opt/ai-lab/cases/aiops-models-runtimes-012.json

"architecture decoder-b not supported"

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

$ printf '%s\n' 'fix-loader-contract' > /home/learner/lab/aiops-models-runtimes-012-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 “fix-loader-contract” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Spot a runtime mismatch” justify?Rewrite the prompt to fix the artifact loader.Make the change now and gather the missing evidence afterward.Use a compatible runtime or artifact; the failure occurs before prompt execution.

Apply it elsewhere

A colleague concludes: “Rewrite the prompt to fix the artifact loader.” What should you do?Treat this fixture as a live measurement.Reject that conclusion; return to the case evidence and its stated limits.Accept it because the training command completed.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Choose a rollback artifact Try an incident drill

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Keep learning

Case methodology: evidence, limits, decision