REPOSITORY DOSSIER  ·  github.com

langchain-ai/langchain

2,953 files 19 languages 463,810 total lines @bd5b134 analysed just now

01Overview

langchain · 317,901 lines of actual code
2,953
Files
317,901
Code lines
85,209
Comments
19
Languages
27,619
Complexity
0
Secrets
Line Composition 463,810 total lines
Code317,90168.5%
Blank60,70013.1%
Comments85,20918.4%
~99%
tokens saved
Reading langchain-ai/langchain via an LLM
~2.2M 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
5
Info
650
Error
0
Total
655
By Category
concurrency 3 correctness 68 maintainability 584

Top Findings

Avoid global variables; use function parameters or class attributes for better scope management ×5

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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data from code_analyze · cached by commit SHA · source on github.com