Tokenizer Class — langchain Architecture
Architecture documentation for the Tokenizer class in base.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 0c58234b_8011_2e81_d144_5de6ca89811d["Tokenizer"] d96ff4b9_fcc1_8428_729e_f75b099397b4["base.py"] 0c58234b_8011_2e81_d144_5de6ca89811d -->|defined in| d96ff4b9_fcc1_8428_729e_f75b099397b4
Relationship Graph
Source Code
libs/text-splitters/langchain_text_splitters/base.py lines 406–419
class Tokenizer:
"""Tokenizer data class."""
chunk_overlap: int
"""Overlap in tokens between chunks"""
tokens_per_chunk: int
"""Maximum number of tokens per chunk"""
decode: Callable[[list[int]], str]
""" Function to decode a list of token IDs to a string"""
encode: Callable[[str], list[int]]
""" Function to encode a string to a list of token IDs"""
Source
Frequently Asked Questions
What is the Tokenizer class?
Tokenizer is a class in the langchain codebase, defined in libs/text-splitters/langchain_text_splitters/base.py.
Where is Tokenizer defined?
Tokenizer is defined in libs/text-splitters/langchain_text_splitters/base.py at line 406.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free