Review-Steps Ablation Test

Generated: 2026-03-22 11:01:18 UTC | Model: claude-haiku-4-5-20251001 | Sessions: 1

Session Summary

# Session ID Started Ended Tools Rejected Prompts Plans Reports Turns In Tokens Out Tokens Cost Duration
1 8bae6bc9-3a8 2026-03-22T11:00:50Z 2026-03-22T11:01:18Z 14 0 2 0 0 8 72 2,695 $0.0377 27.2s

Session Details

Session 1: 8bae6bc9-3a8

tools 14rejected 0prompts 2plans 0agent reports 0turns 8in tokens 72out tokens 2,695cache read 169,020cost $0.0377duration 27.2sapi time 26.8s

started 2026-03-22T11:00:50Z

#TimeTypeDetail show 14 ok results
1 +0.0s [+0.0s] user_prompt user_prompt: Review the document `draft.md` following the review-steps process. Complete theReview the document `draft.md` following the review-steps process. Complete these stages, applying corrections directly to the file: 1. **Read and understand** — identify the document's function, audience, and goal 2. **Language and consistency** — fix spelling, grammar, punctuation; ensure consistent terminology and patterns 3. **Conceptual clarity** — fix incomplete sentences, unclear phrasing; expand acronyms on first use Apply all corrections directly to `draft.md` and save the result.
2 +0.0s [+0.0s] user_prompt user_prompt: Review the document `draft.md` following the review-steps process. Complete theReview the document `draft.md` following the review-steps process. Complete these stages, applying corrections directly to the file: 1. **Read and understand** — identify the document's function, audience, and goal 2. **Language and consistency** — fix spelling, grammar, punctuation; ensure consistent terminology and patterns 3. **Conceptual clarity** — fix incomplete sentences, unclear phrasing; expand acronyms on first use Apply all corrections directly to `draft.md` and save the result.
3 +3.0s [+3.0s] tool_call tool_call: Read {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"}
4 +3.0s [+0.0s] tool_call tool_call: Read {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"}
5 +3.0s [+0.0s] tool_result tool_result: [ok]
6 +3.0s [+0.0s] tool_result tool_result: [ok]
7 +11.0s [+8.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Projections (also c{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets it's offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours.", "new_string": "Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets its offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours.", "replace_all": false}
8 +11.0s [+0.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Projections (also c{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Projections (also called read models) materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets it's offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours.", "new_string": "Projections (also called read models) are materialized views that are built by processing the event stream. When a projection's schema changes, a full rebuild is required — the projection consumer resets its offset to zero, truncates the target store, and replays every event. For large event stores, rebuild times can stretch to hours.", "replace_all": false}
9 +11.0s [+0.0s] tool_result tool_result: [ok]
10 +11.0s [+0.0s] tool_result tool_result: [ok]
11 +14.0s [+3.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Snapshot compaction{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, this avoids processing the complete history.", "new_string": "Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, avoiding the need to process the complete history.", "replace_all": false}
12 +14.0s [+0.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Snapshot compaction{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, this avoids processing the complete history.", "new_string": "Snapshot compaction reduces replay cost by periodically serializing aggregate state at a known sequence number. On load, the system reads the latest snapshot and only replays events after the snapshot's sequence number, avoiding the need to process the complete history.", "replace_all": false}
13 +14.0s [+0.0s] tool_result tool_result: [ok]
14 +14.0s [+0.0s] tool_result tool_result: [ok]
15 +16.0s [+2.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Read-model denormal{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events into a single document. This eliminates expensive join operations at query time.", "new_string": "Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived events into a single document. This eliminates expensive join operations at query time.", "replace_all": false}
16 +16.0s [+0.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Read-model denormal{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Read-model denormalization optimizes query performance by pre-computing flattened projections. e.g. an OrderSummary projection might join data from OrderPlaced, ItemAdded and PaymentReceived events into a single document. This eliminates expensive join operations at query time.", "new_string": "Read-model denormalization optimizes query performance by pre-computing flattened projections. For example, an OrderSummary projection might join data from OrderPlaced, ItemAdded, and PaymentReceived events into a single document. This eliminates expensive join operations at query time.", "replace_all": false}
17 +16.0s [+0.0s] tool_result tool_result: [ok]
18 +16.0s [+0.0s] tool_result tool_result: [ok]
19 +18.0s [+2.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Long-running busine{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Long-running business processes that span multiple aggregates are modelled as sagas (sometimes called process managers). The saga listens for triggering events and issues commands to participating aggregates.", "new_string": "Long-running business processes that span multiple aggregates are modeled as sagas (sometimes called process managers). The saga listens for triggering events and issues commands to participating aggregates.", "replace_all": false}
20 +18.0s [+0.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Long-running busine{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Long-running business processes that span multiple aggregates are modelled as sagas (sometimes called process managers). The saga listens for triggering events and issues commands to participating aggregates.", "new_string": "Long-running business processes that span multiple aggregates are modeled as sagas (sometimes called process managers). The saga listens for triggering events and issues commands to participating aggregates.", "replace_all": false}
21 +18.0s [+0.0s] tool_result tool_result: [ok]
22 +18.0s [+0.0s] tool_result tool_result: [ok]
23 +21.0s [+3.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Event throughput me{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Event throughput metrics alone provide a incomplete picture without consumer lag monitoring. A healthy event store might show 10k events/second while a lagging projection consumer builds an ever-growing backpressure queue.", "new_string": "Event throughput metrics alone provide an incomplete picture without consumer lag monitoring. A healthy event store might show 10k events/second while a lagging projection consumer builds an ever-growing backpressure queue.", "replace_all": false}
24 +21.0s [+0.0s] tool_call tool_call: Edit {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Event throughput me{"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md", "old_string": "Event throughput metrics alone provide a incomplete picture without consumer lag monitoring. A healthy event store might show 10k events/second while a lagging projection consumer builds an ever-growing backpressure queue.", "new_string": "Event throughput metrics alone provide an incomplete picture without consumer lag monitoring. A healthy event store might show 10k events/second while a lagging projection consumer builds an ever-growing backpressure queue.", "replace_all": false}
25 +21.0s [+0.0s] tool_result tool_result: [ok]
26 +21.0s [+0.0s] tool_result tool_result: [ok]
27 +23.0s [+2.0s] tool_call tool_call: Read {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"}
28 +23.0s [+0.0s] tool_call tool_call: Read {"file_path": "/tmp/pytest-sandbox/test_review_preserves_vocabula0/project/draft.md"}
29 +23.0s [+0.0s] tool_result tool_result: [ok]
30 +23.0s [+0.0s] tool_result tool_result: [ok]

Project Files

27 file(s) in project (excluding .git, __pycache__):

Aggregate Statistics

Total Events
30
Tool Successes
14
Tool Failures
0
Sessions
1
Total Turns
8
Input Tokens
72
Output Tokens
2,695
Cache Read
169,020
Cache Created
5,832
Total Cost
$0.0377
Total Duration
27s
API Time
27s

Tool Usage Breakdown

ToolCalls
Edit10
Read4

Ablation

MetricValue
modepreserve
verdictCLEAN
coverage1.0
mean_lexical_overlap0.9887
mean_ablation_risk0.0136
mean_semantic_similarity0.9866
mean_freq_shift-200.8
concepts14 in / 14 out / 0 unmatched