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langchain-ai/langchain

2,893 files 19 languages 445,127 total lines @5c1f282 analysed just now
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01Overview

langchain · 304,109 lines of actual code
2,893
Files
304,109
Code lines
82,941
Comments
19
Languages
26,378
Complexity
0
Secrets
Line Composition 445,127 total lines
Code304,10968.3%
Blank58,07713.0%
Comments82,94118.6%
~99%
tokens saved
Reading langchain-ai/langchain via an LLM
~2.1M 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

Language Breakdown

Language
Files
Code
Share
Python
2,580
271,621
89.3%
Markdown
55
10,468
3.4%
JSON
71
10,262
3.4%
YAML
48
5,644
1.9%
TOML
29
2,811
0.9%
Makefile
23
1,125
0.4%
License
22
374
0.1%
Shell
21
304
0.1%
JavaScript
2
235
0.1%
+ 10 more
—
559
·

Tech Stack  (50 detected)

Standard Library 228413 modules pytest 354 Pydantic 284 LangChain 128 unittest.mock / mock 61 OpenAI SDK 39 HTTPX 21 NumPy 18 PyYAML 13 Anthropic SDK 12 Requests 12 Playwright (Python) 9 Hugging Face Transformers 8 redis-py (Redis) 7 NLTK 5 Beautiful Soup 4 Elasticsearch Client 4 Sentence Transformers 4 Streamlit 4 spaCy 4 Pandas 3 PyJWT 3 Scikit-learn 2 python-dotenv 2 Aiohttp 1 FastAPI 1 Hugging Face Datasets 1 Hugging Face Tokenizers 1 Jinja2 1 MLflow 1 Node.js File System 1 Node.js Path 1 PyTorch 1 SQLAlchemy 1 SciPy 1 Uvicorn 1 attrs 1 lxml 1

03Notable Files

where complexity and size live

Most Complex

FileLinesCx
libs/partners/openai/langchain_openai/chat_models/base.py3,053836
libs/core/langchain_core/runnables/base.py3,885645
libs/partners/anthropic/langchain_anthropic/chat_models.py2,009558
libs/core/langchain_core/messages/utils.py1,348435
libs/core/tests/unit_tests/runnables/test_runnable.py4,808383
libs/core/langchain_core/language_models/chat_models.py1,851347
libs/partners/perplexity/langchain_perplexity/chat_models.py1,121305
libs/langchain/langchain_classic/smith/evaluation/runner_utils.py1,272301
libs/langchain_v1/langchain/agents/factory.py1,324294
libs/partners/anthropic/tests/integration_tests/test_chat_models.py2,243287

Largest

FileLinesCx
libs/partners/openrouter/langchain_openrouter/data/_profiles.py8,2100
libs/core/tests/unit_tests/runnables/test_runnable.py4,808383
libs/partners/openai/tests/unit_tests/chat_models/test_base.py4,482146
libs/partners/anthropic/tests/unit_tests/test_chat_models.py3,890158
libs/core/langchain_core/runnables/base.py3,885645
libs/text-splitters/tests/unit_tests/test_text_splitters.py3,58782
libs/core/tests/unit_tests/test_tools.py3,25566
libs/partners/openai/langchain_openai/chat_models/base.py3,053836
libs/partners/openrouter/tests/unit_tests/test_chat_models.py2,95999
libs/core/tests/unit_tests/runnables/test_runnable_events_v2.py2,56461

04Code Quality

style, correctness, and maintainability findings

By Severity & Category

Warning
106
Info
3923
Error
4
Total
4,033
By Category
concurrency 3 correctness 234 maintainability 3576 performance 216 security 4

Top Findings

Avoid global variables; use function parameters or class attributes for better scope management ×2
libs/core/langchain_core/_api/internal.py:18 + 1 more
Ensure try blocks have corresponding except or finally blocks ×3
libs/core/langchain_core/callbacks/manager.py:305 + 2 more

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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