An optional host section [doc_check] lets an economy model summarize the diff without the
PR documents; Jev compares each section with the summary. A contradicting test claim gives
ORANGE, other contradictions give hints, both as line comments at the section heading.
The statistics service counts the summary as LLM cost and the comparison as Jev cost.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
hint 10 changed file(s) that neither weaken the checks nor touch security according to Jev
hint 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.02)
hint 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
hint 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
11 of 14 units passed all questions (1 PR document(s)).
4 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65123, calls 1, tokens in 62848 / out 22949 (reasoning included in out), duration 144.5 s, cost 0.0371 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12025, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 667, cost 0.0034 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).
Reviewed head `e4f5ba207456064909133564a138fff962f43db1` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
<!-- werkrevisor:e4f5ba207456064909133564a138fff962f43db1 -->
<!-- werkrevisor-verdict:YELLOW -->
<!-- werkrevisor-folded -->
<details><summary>🟡 werkrevisor YELLOW for <code>e4f5ba2</code>, superseded by <a href="http://git.javagil.de/mi/werkrevisor/pulls/47#issuecomment-1946">the result for <code>482df58</code></a></summary>
## 🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind: `mixed`.
### Reasons
- **YELLOW** spec: docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md Scenario#47.03 given_when_then_misused (0.61 > yellow_above = 0.6)
- **YELLOW** spec: docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md section 'Measurement' hard_to_understand (0.50 > yellow_above = 0.5)
- **YELLOW** spec: docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md section 'Follow-up PRs' hard_to_understand (0.52 > yellow_above = 0.5)
- **hint** 10 changed file(s) that neither weaken the checks nor touch security according to Jev
- **hint** 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.02)
- **hint** 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
- **hint** 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
### Classifier
| Unit | Question | Problem | Confidence | Verdict |
|---|---|---|---|---|
| docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md Scenario#47.03 | given_when_then_misused | 0.61 | – | YELLOW |
| docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md section 'Measurement' | hard_to_understand | 0.50 | 0.48 | YELLOW |
| docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md section 'Follow-up PRs' | hard_to_understand | 0.52 | 0.53 | YELLOW |
11 of 14 units passed all questions (1 PR document(s)).
4 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65123, calls 1, tokens in 62848 / out 22949 (reasoning included in out), duration 144.5 s, cost 0.0371 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12025, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 667, cost 0.0034 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).<br>
Reviewed head `e4f5ba207456064909133564a138fff962f43db1` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
</sub>
</details>
ai-reviewer
scheduled this pull request to auto merge when all checks succeed 2026-10-08 13:06:52 +02:00
ai-reviewer
requested review from mi 2026-10-08 13:06:52 +02:00
hint 10 changed file(s) that neither weaken the checks nor touch security according to Jev
hint 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
hint 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
hint 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
hint 1 finding(s) of low severity or rated minor by Jev: werkrevisor/doccheck.py:94-95
Findings
Greedy JSON regex at werkrevisor/doccheck.py:94-95, severity unknown, counted as medium, hint, as a line comment
13 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65590, calls 1, tokens in 63286 / out 22217 (reasoning included in out), duration 313.2 s, cost 0.0244 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12019, cost 0.0005 USD, finding judge `jev-1.13.0` calls 1, tokens in 1304, cost 0.0001 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 766, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).
Reviewed head `482df58886fbfa72fd1303f0b9601ffd8139dd5d` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
<!-- werkrevisor:482df58886fbfa72fd1303f0b9601ffd8139dd5d -->
<!-- werkrevisor-verdict:YELLOW -->
<!-- werkrevisor-folded -->
<details><summary>🟡 werkrevisor YELLOW for <code>482df58</code>, superseded by <a href="http://git.javagil.de/mi/werkrevisor/pulls/47#issuecomment-1951">the result for <code>bca1a88</code></a></summary>
## 🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind: `mixed`.
### Reasons
- **YELLOW** spec: docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md Scenario#47.06 given_when_then_misused (0.65 > yellow_above = 0.6)
- **hint** 10 changed file(s) that neither weaken the checks nor touch security according to Jev
- **hint** 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
- **hint** 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
- **hint** 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
- **hint** 1 finding(s) of low severity or rated minor by Jev: werkrevisor/doccheck.py:94-95
### Findings
1. **Greedy JSON regex** at `werkrevisor/doccheck.py:94-95`, severity unknown, counted as medium, hint, as a line comment
### Classifier
| Unit | Question | Problem | Confidence | Verdict |
|---|---|---|---|---|
| docs/prs/2026-10-08-PR#47-pr-doc-vs-change-summary.md Scenario#47.06 | given_when_then_misused | 0.65 | – | YELLOW |
13 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65590, calls 1, tokens in 63286 / out 22217 (reasoning included in out), duration 313.2 s, cost 0.0244 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12019, cost 0.0005 USD, finding judge `jev-1.13.0` calls 1, tokens in 1304, cost 0.0001 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 766, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).<br>
Reviewed head `482df58886fbfa72fd1303f0b9601ffd8139dd5d` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
</sub>
</details>
werkrevisor: YELLOW / HUMAN_REVIEW for 482df58886fbfa72fd1303f0b9601ffd8139dd5d.
The result comment of werkrevisor holds the details.
werkrevisor: YELLOW / HUMAN_REVIEW for `482df58886fbfa72fd1303f0b9601ffd8139dd5d`.
The result comment of werkrevisor holds the details.
<!-- werkrevisor-review:482df58886fbfa72fd1303f0b9601ffd8139dd5d -->
Greedy JSON regex, severity unknown, counted as medium (werkrevisor)
hint; Jev: real 0.67, severity 2.2 of 3
parse_summary uses the greedy pattern r"\{.*\}" with re.S, so an answer like {"a": 1} {"changes": [...]} is captured as one string and rejected by json.loads, leaving the comparison out with a hint. The prompt asks for a single JSON object, so this is unlikely, but a non-greedy match or a json.JSONDecoder().raw_decode would be safer and is a one-line change.
**Greedy JSON regex**, severity unknown, counted as medium (werkrevisor)
hint; Jev: real 0.67, severity 2.2 of 3
`parse_summary` uses the greedy pattern `r"\{.*\}"` with `re.S`, so an answer like `{"a": 1} {"changes": [...]}` is captured as one string and rejected by `json.loads`, leaving the comparison out with a hint. The prompt asks for a single JSON object, so this is unlikely, but a non-greedy match or a `json.JSONDecoder().raw_decode` would be safer and is a one-line change.
Fixed: parse_summary now parses the whole answer as JSON first; only an answer wrapped in prose or a code fence falls back to the outermost braces. A test with braces inside the strings covers it.
Fixed: `parse_summary` now parses the whole answer as JSON first; only an answer wrapped in prose or a code fence falls back to the outermost braces. A test with braces inside the strings covers it.
hint 10 changed file(s) that neither weaken the checks nor touch security according to Jev
hint 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
hint 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
hint 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
Classifier
14 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65784, calls 1, tokens in 63476 / out 13049 (reasoning included in out), duration 693.9 s, cost 0.0321 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 1076, cost 0.0008 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).
Reviewed head `bca1a88b87ecab7231bd9ca56a6607c79e7e7a10` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
<!-- werkrevisor:bca1a88b87ecab7231bd9ca56a6607c79e7e7a10 -->
<!-- werkrevisor-verdict:GREEN -->
<!-- werkrevisor-folded -->
<details><summary>🟢 werkrevisor GREEN for <code>bca1a88</code>, superseded by <a href="http://git.javagil.de/mi/werkrevisor/pulls/47#issuecomment-1956">the result for <code>4c04a61</code></a></summary>
## 🟢 werkrevisor: GREEN / PASS
Change kind: `mixed`.
### Reasons
- **hint** 10 changed file(s) that neither weaken the checks nor touch security according to Jev
- **hint** 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
- **hint** 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
- **hint** 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
### Classifier
14 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65784, calls 1, tokens in 63476 / out 13049 (reasoning included in out), duration 693.9 s, cost 0.0321 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 1076, cost 0.0008 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).<br>
Reviewed head `bca1a88b87ecab7231bd9ca56a6607c79e7e7a10` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
</sub>
</details>
werkrevisor: GREEN / PASS for bca1a88b87ecab7231bd9ca56a6607c79e7e7a10.
The result comment of werkrevisor holds the details.
werkrevisor: GREEN / PASS for `bca1a88b87ecab7231bd9ca56a6607c79e7e7a10`.
The result comment of werkrevisor holds the details.
<!-- werkrevisor-review:bca1a88b87ecab7231bd9ca56a6607c79e7e7a10 -->
ai-reviewer
removed review request for mi 2026-10-08 13:26:16 +02:00
hint 10 changed file(s) that neither weaken the checks nor touch security according to Jev
hint 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
hint 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
hint 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
hint the model review failed: Exception: Failed to generate prediction with any model of ['openrouter/minimax/minimax-m3']. Attempts: openrouter/minimax/minimax-m3: APIError: Empty content in model response (finish_reason: length) (advisory: Jev judged every changed file)
Classifier
14 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/minimax/minimax-m3`, LLM failed (Exception), tokens counted before the call 66315, duration 315.1 s, cost unknown, classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 806, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).
Reviewed head `4c04a61a1ee74f2246495d21dafd94072bec484b` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
<!-- werkrevisor:4c04a61a1ee74f2246495d21dafd94072bec484b -->
<!-- werkrevisor-verdict:GREEN -->
## 🟢 werkrevisor: GREEN / PASS
Change kind: `mixed`.
### Reasons
- **hint** 10 changed file(s) that neither weaken the checks nor touch security according to Jev
- **hint** 1 build change(s) of low risk according to Jev: statistics/build.gradle.kts (weakens checks 0.02, risk 0.00, security 0.01)
- **hint** 1 changed file was given to the AI as excerpt of the selected lines and 5 lines around each changed line, not in full (all full files together would exceed [review] max_full_files_chars = 160000): werkrevisor/config.py
- **hint** 2 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 160000, and no excerpt fits the limits either): werkrevisor/excerpt.py, werkrevisor/report.py (advisory: Jev judged every changed file)
- **hint** the model review failed: Exception: Failed to generate prediction with any model of ['openrouter/minimax/minimax-m3']. Attempts: openrouter/minimax/minimax-m3: APIError: Empty content in model response (finish_reason: length) (advisory: Jev judged every changed file)
### Classifier
14 of 14 units passed all questions (1 PR document(s)).
6 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/minimax/minimax-m3`, LLM failed (Exception), tokens counted before the call 66315, duration 315.1 s, cost unknown, classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 806, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main 1e35334).<br>
Reviewed head `4c04a61a1ee74f2246495d21dafd94072bec484b` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
</sub>
werkrevisor: GREEN / PASS for 4c04a61a1ee74f2246495d21dafd94072bec484b.
The result comment of werkrevisor holds the details.
werkrevisor: GREEN / PASS for `4c04a61a1ee74f2246495d21dafd94072bec484b`.
The result comment of werkrevisor holds the details.
<!-- werkrevisor-review:4c04a61a1ee74f2246495d21dafd94072bec484b -->
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
See the PR document.
🤖 Generated with Claude Code
🟡 werkrevisor YELLOW for
e4f5ba2, superseded by the result for482df58🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind:
mixed.Reasons
Classifier
11 of 14 units passed all questions (1 PR document(s)).
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65123, calls 1, tokens in 62848 / out 22949 (reasoning included in out), duration 144.5 s, cost 0.0371 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12025, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 667, cost 0.0034 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main4 answers ignored because of a confidence below [classifier] min_confidence.
1e35334).Reviewed head `e4f5ba207456064909133564a138fff962f43db1` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
🟡 werkrevisor YELLOW for
482df58, superseded by the result forbca1a88🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind:
mixed.Reasons
Findings
werkrevisor/doccheck.py:94-95, severity unknown, counted as medium, hint, as a line commentClassifier
13 of 14 units passed all questions (1 PR document(s)).
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65590, calls 1, tokens in 63286 / out 22217 (reasoning included in out), duration 313.2 s, cost 0.0244 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12019, cost 0.0005 USD, finding judge `jev-1.13.0` calls 1, tokens in 1304, cost 0.0001 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 766, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14239, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main6 answers ignored because of a confidence below [classifier] min_confidence.
1e35334).Reviewed head `482df58886fbfa72fd1303f0b9601ffd8139dd5d` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
werkrevisor: YELLOW / HUMAN_REVIEW for
482df58886fbfa72fd1303f0b9601ffd8139dd5d.The result comment of werkrevisor holds the details.
@@ -0,0 +91,4 @@def parse_summary(answer):"""A summary without a usable list of changes gives no basis for a comparison."""match = re.search(r"\{.*\}", answer or "", re.S)Greedy JSON regex, severity unknown, counted as medium (werkrevisor)
hint; Jev: real 0.67, severity 2.2 of 3
parse_summaryuses the greedy patternr"\{.*\}"withre.S, so an answer like{"a": 1} {"changes": [...]}is captured as one string and rejected byjson.loads, leaving the comparison out with a hint. The prompt asks for a single JSON object, so this is unlikely, but a non-greedy match or ajson.JSONDecoder().raw_decodewould be safer and is a one-line change.Fixed:
parse_summarynow parses the whole answer as JSON first; only an answer wrapped in prose or a code fence falls back to the outermost braces. A test with braces inside the strings covers it.🟢 werkrevisor GREEN for
bca1a88, superseded by the result for4c04a61🟢 werkrevisor: GREEN / PASS
Change kind:
mixed.Reasons
Classifier
14 of 14 units passed all questions (1 PR document(s)).
Usage: model `openrouter/minimax/minimax-m3`, LLM done, tokens counted before the call 65784, calls 1, tokens in 63476 / out 13049 (reasoning included in out), duration 693.9 s, cost 0.0321 USD (reported), classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 1076, cost 0.0008 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main6 answers ignored because of a confidence below [classifier] min_confidence.
1e35334).Reviewed head `bca1a88b87ecab7231bd9ca56a6607c79e7e7a10` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
werkrevisor: GREEN / PASS for
bca1a88b87ecab7231bd9ca56a6607c79e7e7a10.The result comment of werkrevisor holds the details.
New commits pushed, approval review dismissed automatically according to repository settings
🟢 werkrevisor: GREEN / PASS
Change kind:
mixed.Reasons
Classifier
14 of 14 units passed all questions (1 PR document(s)).
Usage: model `openrouter/minimax/minimax-m3`, LLM failed (Exception), tokens counted before the call 66315, duration 315.1 s, cost unknown, classifier `jev-1.13.0` calls 14, tokens in 12073, cost 0.0005 USD, excerpt selection `openrouter/openai/gpt-6-luna` calls 3, tokens in 24232 / out 806, cost 0.0006 USD (reported), build file judge `jev-1.13.0` calls 11, tokens in 14340, cost 0.0006 USD, config: defaults + host + repository (.werkrevisor.toml at main6 answers ignored because of a confidence below [classifier] min_confidence.
1e35334).Reviewed head `4c04a61a1ee74f2246495d21dafd94072bec484b` against base `1e353345fe9094cfa681366100320d3bfe1568f2`, werkrevisor 0.22.0.
werkrevisor: GREEN / PASS for
4c04a61a1ee74f2246495d21dafd94072bec484b.The result comment of werkrevisor holds the details.