improve explorbot-debug skill with Langfuse export #14
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Rewrote the debug skill to automatically analyze log timeline, locate/export Langfuse traces, and correlate both sources. Added langfuse-export.ts script and npm script shortcut. Co-authored-by: Cursor <cursoragent@cursor.com>
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| return { from: from.toISOString(), to: to.toISOString() }; | ||
| } | ||
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| return { from: new Date(range).toISOString(), to: to.toISOString() }; |
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Suggestion: When a custom time range string is passed that is neither a relative spec (like "1h") nor "today", the code blindly constructs a Date from it and immediately calls toISOString, which will throw a RangeError at runtime if the input is invalid and produces an "Invalid Date". Adding an explicit validity check avoids an unhandled exception and allows you to fail fast with a clear error message. [logic error]
Severity Level: Major ⚠️
- ❌ Langfuse export script crashes on invalid custom date input.
- ⚠️ Debugging workflow interrupted when operator mistypes time range.| return { from: new Date(range).toISOString(), to: to.toISOString() }; | |
| const parsed = new Date(range); | |
| if (Number.isNaN(parsed.getTime())) { | |
| throw new Error(`Invalid time range: ${range}`); | |
| } | |
| return { from: parsed.toISOString(), to: to.toISOString() }; |
Steps of Reproduction ✅
1. From the repo root, run the CLI script with an invalid custom range string, e.g.:
`bun .claude/skills/explorbot-debug/langfuse-export.ts not-a-date`.
This executes `.claude/skills/explorbot-debug/langfuse-export.ts`.
2. The script reads `range` from `process.argv[2]` at
`.claude/skills/explorbot-debug/langfuse-export.ts:68-69`
(`const range = process.argv[2] || '1h';`), so `range === 'not-a-date'`.
3. `parseTimeRange(range)` is called at
`.claude/skills/explorbot-debug/langfuse-export.ts:72`, entering
`parseTimeRange()` defined at lines 29-47.
The regex match at lines 33-37 fails, and the `if (range === 'today')` branch
at lines 41-44 is also skipped.
4. Execution reaches the fallback return at line 46:
`return { from: new Date(range).toISOString(), to: to.toISOString() };`.
`new Date('not-a-date')` produces an `Invalid Date`; calling `.toISOString()`
on this throws `RangeError: Invalid time value`, terminating the script before
any Langfuse data is fetched or written.Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** .claude/skills/explorbot-debug/langfuse-export.ts
**Line:** 46:46
**Comment:**
*Logic Error: When a custom time range string is passed that is neither a relative spec (like "1h") nor "today", the code blindly constructs a Date from it and immediately calls toISOString, which will throw a RangeError at runtime if the input is invalid and produces an "Invalid Date". Adding an explicit validity check avoids an unhandled exception and allows you to fail fast with a clear error message.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.| } | ||
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| const range = process.argv[2] || '1h'; | ||
| const outPath = process.argv[3] || `output/langfuse-export-${Date.now()}.json`; |
There was a problem hiding this comment.
Suggestion: The default output path points to "output/..." but the script never creates the "output" directory, so on a fresh checkout running the command with no explicit path will throw an ENOENT error when writeFileSync tries to write into a non-existent directory; using a default filename in the current directory avoids this runtime failure while still allowing callers to pass a custom path if they want. [possible bug]
Severity Level: Major ⚠️
- ❌ Default CLI usage fails without pre-created output directory.
- ⚠️ Debug exports unavailable on fresh checkouts until directory created.| const outPath = process.argv[3] || `output/langfuse-export-${Date.now()}.json`; | |
| const outPath = process.argv[3] || `langfuse-export-${Date.now()}.json`; |
Steps of Reproduction ✅
1. Ensure Langfuse environment variables are set so the script passes the
early check at `.claude/skills/explorbot-debug/langfuse-export.ts:8-15`
(`LANGFUSE_PUBLIC_KEY` and `LANGFUSE_SECRET_KEY` present).
2. From the repo root, run the script without an explicit output path, e.g.:
`bun .claude/skills/explorbot-debug/langfuse-export.ts 1h`,
in a working directory that does not contain an `output/` folder.
3. The script sets `range` and `outPath` at lines 68-69:
`const range = process.argv[2] || '1h';`
`const outPath = process.argv[3] || \`output/langfuse-export-\${Date.now()}.json\`;`
so `outPath` points to `output/langfuse-export-<timestamp>.json`.
4. After fetching traces and observations, the script resolves the path and
writes the file at lines 96-97:
`const resolved = resolve(outPath);`
`writeFileSync(resolved, JSON.stringify(result, null, 2));`.
Because the `output` directory does not exist and is never created in
this script or elsewhere in `.claude/skills/explorbot-debug/langfuse-export.ts`,
`writeFileSync` throws `ENOENT: no such file or directory`, and the export
fails with no JSON file produced.Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** .claude/skills/explorbot-debug/langfuse-export.ts
**Line:** 69:69
**Comment:**
*Possible Bug: The default output path points to "output/..." but the script never creates the "output" directory, so on a fresh checkout running the command with no explicit path will throw an ENOENT error when writeFileSync tries to write into a non-existent directory; using a default filename in the current directory avoids this runtime failure while still allowing callers to pass a custom path if they want.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
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DavertMik
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DavertMik
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THat should simplify so much!
Let's try
2 participants
User description
Rewrote the debug skill to automatically analyze log timeline, locate/export Langfuse traces, and correlate both sources. Added langfuse-export.ts script and npm script shortcut.
CodeAnt-AI Description
Improve Explorbot debug workflow with on-demand Langfuse trace export and clearer log correlation
What Changed
Impact
✅ Easier Langfuse exports for specific sessions✅ Shorter debug sessions by correlating AI traces with browser logs✅ Clearer root-cause correlation between AI decisions and browser behavior💡 Usage Guide
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