| openai / openai-realtime-agents This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API. |
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1.7K ts 1.2K tsx MJS 0.03K mjs 0.02K css
0.03K gitignore
8.7K json
8.8K json 0.2K md 0.1K txt 0.01K svg
- ts - png SAMPLE - sample
17K json 1.7K ts 1.2K tsx 0.2K md 0.1K txt 0.03K gitignore MJS 0.03K mjs 0.02K css 0.01K svg
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npm
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| Standard analyses: | Main Code: 2,906 LOC (35 files) = TS (57%) + TSX (40%) + MJS (<1%) + CSS (<1%) Secondary code: Test: 0 LOC (0); Generated: 8,679 LOC (1); Build & Deploy: 32 LOC (1); Other: 9,085 LOC (6); |
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| Duplication: 1% | |||
| File Size: 0% long (>1000 LOC), 58% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (2 components) | ||
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1 year, 5 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
| Experimental analyses (less reliable heuristic analyses): | |||
| Unit Size: 22% long (>100 LOC), 31% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 68% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (2 components) | ||
Latest commit date: 2026-01-07
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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activity per month, week and day...Per MonthLatest commit date: 2026-01-07
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| MAIN (35) | Circles | Sunburst | |
| TEST (0) |
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| BUILD AND DEPLOYMENT (1) | Circles | Sunburst | |
| GENERATED (1) | Circles | Sunburst | |
| OTHER (6) | Circles | Sunburst |
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| PRIMARY (2) | Bubble Chart | Tree Map |
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All Time | 12 Months | |||
Temporal dependencies among files:
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Unit size and conditional complexity views:
Generative AI tools, like ChatGPT or Gemini, can help you explore and discuss various aspects of source code repositories using simple prompts and file uploads. Sokrates provides you with curated data that you can use to analyze your source code further.
generated by sokrates.dev (configuration) on 2026-06-24