openai/openai-realtime-agents
File Size The distribution of size of files (measured in lines of code). |
File Size Overall
- There are 35 files with 2,906 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 4 medium size files (1,195 lines of code)
- 6 small files (827 lines of code)
- 25 very small files (884 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Longest Files (Top 35)
| File | # lines | # units |
|---|---|---|
| 441 | 2 | |
| 268 | 4 | |
| 268 | 3 | |
| 218 | 1 | |
| 166 | 3 | |
| 157 | 8 | |
| 137 | 3 | |
| 127 | - | |
| 127 | - | |
| 113 | 3 | |
| 99 | - | |
| 91 | 3 | |
| 91 | 1 | |
| 86 | - | |
| 83 | 4 | |
| 77 | 1 | |
| 62 | 1 | |
| 48 | 3 | |
| 35 | 3 | |
| 26 | 1 | |
| 22 | - | |
| 19 | 1 | |
| 19 | - | |
| 18 | - | |
| 18 | 1 | |
| 17 | - | |
| 15 | - | |
| 13 | 1 | |
| 11 | - | |
| 10 | - | |
| 9 | 1 | |
| 7 | - | |
| 4 | - | |
| 2 | - | |
| 2 | - |
Large Files That Change Often (Top 2)
To change a file, an AI coding agent (or a person) has to read it: these files are read the most for the changes in the past year (lines × changes).
| File | # lines | ≈ tokens to read | # changes (1y) | ≈ lines edited per change | lines read per line changed |
|---|---|---|---|---|---|
| 166 | ~1k–3k | 1 | ~50 | ~3 | |
| 19 | under 1k | 1 | ~20 | ~1 |
Tokens are lines × 7 to 14 (analysis.fileReadsForChanges). Lines edited per change are the file's lines added and deleted divided by its commits over the whole history. Agents read about 2,000 lines at a time: when a 17,000-line file was split into modules, the tokens an agent read for the same change fell by 83% (The Economic Benefit of Refactoring, 2026).
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
| 157 | 8 | |
| 268 | 4 | |
| 83 | 4 | |
| 113 | 3 | |
| 268 | 3 | |
| 91 | 3 | |
| 137 | 3 | |
| 166 | 3 | |
| 48 | 3 | |
| 35 | 3 | |
| 441 | 2 | |
| 62 | 1 | |
| 218 | 1 | |
| 91 | 1 | |
| 77 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 9 | 1 | |
| 26 | 1 | |
| 13 | 1 |
Files With Long Lines (Top 12)
There are 12 files with lines longer than 120 characters. In total, there are 120 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 268 | 3 | 39 | |
| 268 | 4 | 25 | |
| 99 | - | 22 | |
| 91 | 3 | 11 | |
| 218 | 1 | 5 | |
| 441 | 2 | 4 | |
| 127 | - | 4 | |
| 113 | 3 | 3 | |
| 83 | 4 | 2 | |
| 11 | - | 2 | |
| 86 | - | 2 | |
| 127 | - | 1 |
Correlations
File Size vs. Commits (all time): 30 points
|
|
441.0 | lines of code min: 2.0average: 94.7 25th percentile: 17.25 median: 80.0 75th percentile: 129.5 max: 441.0 |
|
| 0 | 9.0 | ||
|
commits (all time) min: 1.0 | average: 3.23 | 25th percentile: 2.0 | median: 2.5 | 75th percentile: 4.25 | max: 9.0
|
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File Size vs. Contributors (all time): 30 points
|
|
441.0 | lines of code min: 2.0average: 94.7 25th percentile: 17.25 median: 80.0 75th percentile: 129.5 max: 441.0 |
|
| 0 | 5.0 | ||
|
contributors (all time) min: 1.0 | average: 2.37 | 25th percentile: 1.75 | median: 2.5 | 75th percentile: 3.0 | max: 5.0
|
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File Size vs. Commits (30 days): 0 points
No data for "commits (30d)" vs. "lines of code".
File Size vs. Contributors (30 days): 0 points
No data for "contributors (30d)" vs. "lines of code".
File Size vs. Commits (90 days): 0 points
No data for "commits (90d)" vs. "lines of code".
File Size vs. Contributors (90 days): 0 points
No data for "contributors (90d)" vs. "lines of code".
About This Analysis
- File size measurements show the distribution of size of files.
- Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
- It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
- To learn more about bloaters and how to deal with long code structures, Sokrates recommends the following resources:
- Refactoring bloaters, sourcemaking.com
- The Blob Software Development Anti-Pattern, sourcemaking.com