REPOSITORY DOSSIER  ·  github.com

langchain-ai/langchain

2,811 files 19 languages 421,606 total lines @13b1b2f analysed just now

01Overview

langchain · 338,808 lines of actual code
2,811
Files
338,808
Code lines
40,185
Comments
19
Languages
17,578
Complexity
0
Secrets
Line Composition 421,606 total lines
Code338,80880.4%
Blank42,61310.1%
Comments40,1859.5%
~99%
tokens saved
Reading langchain-ai/langchain via an LLM
~2.4M tokens ~1.4k tokens via code_analyze

The entire repo summarised by code_analyze — structured JSON in <2k tokens. The dossier above is built from one call. Drill into specifics with code_search.

02Languages & Tech Stack

what it’s written in, what it depends on

03Notable Files

where complexity and size live

04Code Quality

style, correctness, and maintainability findings

By Severity & Category

Warning
0
Info
37
Error
0
Total
3,974
By Category
correctness 17 maintainability 20

Top Findings

Ensure functions have docstrings for documentation ×2
Avoid unnecessary list conversions; use generators where possible ×3

05Secrets & Credentials

pattern-based scan for hardcoded secrets
✓   No hardcoded credentials or secret patterns detected. Pattern-based scan only — does not catch logic-level vulnerabilities.

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