4fbeffcfee
### Description: earlier we have to use like below: ```python from langchain_core.messages import trim_messages from langchain_core.messages.utils import count_tokens_approximately trim_messages(..., token_counter=count_tokens_approximately) ``` Now can be used as like this also ```python from langchain_core.messages import trim_messages trim_messages(..., token_counter="approximate") ``` - [x] **Added tests** - [x] **Lint and test**: Run this as I made change in langchain/core, uv run --group test pytest tests/unit_tests/messages/test_utils.py -v <img width="1006" height="66" alt="image" src="https://github.com/user-attachments/assets/c6938c29-a781-4e7f-871b-8e888ee764b7" /> --------- Co-authored-by: Mason Daugherty <mason@langchain.dev> Co-authored-by: Mason Daugherty <github@mdrxy.com>
Packages
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.