derived-flight-cancellation-refund · Based on 87 threads · medium confidence
Flight Cancellation Refund
Derived primarily from user-authored prompts across a 300-thread slice. Full-slice prompt clustering ran on every thread, and Claude consolidated the major workflow types from cluster exemplars because the slice exceeds the non-sampling threshold.
This workflow
Token and spend trend
Model mix
Tokens and spend by model
Tokens by model
input + outputSpend by model
estimated costOpportunities
5 opportunities for this workflow
Failed runs diverge from successful runs before the final outcome
This workflow has enough scored runs to compare outcomes directly. tool and adjacent tools appear more often in failed runs.
Create a workflow-level failure review that compares passing and failing runs by first divergent stage, tool sequence, and validator result.
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- 34 failed or partial runs spent $0.49 in the analyzed sample.
- Successful runs average 10.1 tool calls; failed runs average 18.1.
- Failed runs average 795 input tokens per run versus 563 on successful runs.
- Turn the successful cohort into a checklist: required context, required tools, stop condition, and final verification.
- Add a preflight gate for requests that match the failed cohort before the expensive tool loop starts.
Imported benchmark outcome ended with failure
Imported benchmark outcome ended with success
Failed benchmark outcomes are still paying the full workflow cost
The imported outcome labels show a high failure rate after the workflow has already spent tokens and tool calls, which points to missing early exits or weak preflight checks.
Compare passing and failing traces for this workflow and add an early gate before the expensive tool loop starts.
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- Use the imported outcome label as an evaluation dimension so regressions are ranked by wasted spend, not just by raw failure count.
Imported benchmark outcome ended with failure
Tool loops are dense enough to need batching or early stopping
tool dominates repeated tool activity, so the workflow is likely doing incremental calls where batching, caching, or tighter stop conditions would reduce churn.
Batch or cache repeated tool calls where the inputs overlap across adjacent steps.
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- Add a per-run tool budget and stop condition so failed runs do not keep exploring after the likely answer is already unreachable.
The same tool error repeats instead of triggering a new plan
Self-correction is not bounded tightly enough. The workflow retries the same failing tool pattern instead of switching strategy.
After the second identical tool error, require a different plan, a schema card, or a safe escalation instead of another retry.
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- 122 repeated error results were observed across 3 runs.
- The normalized error signature is "error: reservation : not found".
- 3,660 chars of error output were copied back into the workflow.
- Add an actionable error contract for tool so the model receives allowed next steps, not raw stack text.
- Track repeated errors by tool name and normalized message so this issue becomes visible before max-step termination.
Error: Reservation : not found
Users are correcting missing fields or output shape
The trace contains downstream correction language, which usually means the final answer is not satisfying the customer's expected contract.
Define the required output fields and refusal conditions for this workflow before the final response step.
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- 10 correction-like user messages appeared after an assistant response.
- 4 of 87 analyzed runs had at least one correction signal.
- Validate final answers against the output contract and route missing fields back through a cheap repair step.
- Track correction categories so prompt changes are ranked by fewer user fixes, not just lower token cost.
Sure, my user ID is sophia_taylor_9065 and my reservation number is PEP4E0. Can you please check if the insurance is there? I really need to have it added if it’s missing.
Prompt composition
Input token breakdown
Tool signals
How this workflow runs
How often steps had to re-run.
Tasks handed off to sub-agents during the workflow.
Total documents pulled in across all tool calls.
Typical time each step takes to finish.
Stage order
Typical workflow path
- Loop×2
Loop: respond → plan → tool — repeats 2 times.
Latency unavailable772 tok avg- 1RespondKimi-K2
Respond step in the workflow.
Latency unavailable218 tok avg - 2PlanKimi-K2
Plan the next steps in the workflow.
Latency unavailable84 tok avg - 3Tooltool
Tool step in the workflow.
Latency unavailable84 tok avg
- 1
- Loop×97
Loop: plan → tool — repeats 97 times.
Latency unavailable16.3K tok avg- 1PlanKimi-K2
Plan the next steps in the workflow.
Latency unavailable84 tok avg - 2Tooltool
Tool step in the workflow.
Latency unavailable84 tok avg
- 1
- Verify
Verify step in the workflow.
Latency unavailable135 tok avg
Threads
Pick a thread to see what happened
- 17 tok · $0.00RespondRespondclaude-opus-4-5
claude-opus-4-5 - 2167 tok · $0.00RespondRespondclaude-opus-4-5
claude-opus-4-5 - 376 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 4193 toktoolToolRun tool
tool - 5106 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 6165 toktoolToolRun tool
tool - 792 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 8167 toktoolToolRun tool
tool - 979 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 10151 toktoolToolRun tool
tool - 11504 tok · $0.01PlanPlanclaude-opus-4-5
claude-opus-4-5 - 123 toktoolToolRun tool
tool - 13162 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 143 toktoolToolRun tool
tool - 15115 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 16115 toktoolToolRun tool
tool - 17115 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 18121 toktoolToolRun tool
tool - 19394 tok · $0.01RespondRespondclaude-opus-4-5
claude-opus-4-5 - 20176 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 2130 toktoolToolRun tool
tool - 22176 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 23354 toktoolToolRun tool
tool - 24176 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 2567 toktoolToolRun tool
tool - 26176 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 278 toktoolToolRun tool
tool - 28500 tok · $0.01RespondRespondclaude-opus-4-5
claude-opus-4-5 - 29373 tok · $0.01RespondRespondclaude-opus-4-5
claude-opus-4-5 - 3046 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 315 toktoolToolRun tool
tool - 32146 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 337 toktoolToolRun tool
tool - 3457 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 3556 toktoolToolRun tool
tool - 36146 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 3712 toktoolToolRun tool
tool - 38146 tok · $0.00PlanPlanclaude-opus-4-5
claude-opus-4-5 - 3913 toktoolToolRun tool
tool - 40229 tok · $0.00RespondRespondclaude-opus-4-5
claude-opus-4-5 - 41100 tokdataset evaluationToolRun dataset_evaluation
dataset_evaluation - 42121 tokImported benchmark outcomeVerifyImported benchmark outcome
The old plan/tool string was the normalized span order. Rows above use imported operation records; when a tool name is missing, the source only provided the normalized stage and operation label.
Hi! How can I help you today? Hi there! I’d like some help with a few of my upcoming reservations. I need to cancel two of them and change another one to a nonstop flight if that’…