Files
langchain/libs/model-profiles
Mason Daugherty 7b09eb7bda fix(fireworks): honor max_retries (#36973)
`ChatFireworks.max_retries` silently did nothing. The old code assigned
the value to a `ChatCompletionV2` sub-object rather than the base
client, and the pinned Fireworks SDK (0.13.0–0.19.20) never honors its
own `_max_retries` attribute on the base client either. Since the
Stainless-generated 1.x SDK that does implement retries is still
pre-release (1.0.1a63 at time of writing), retry responsibility is
ported to the LangChain side until the pin can be bumped.
2026-04-23 16:40:54 -04:00
..
2026-01-23 22:40:59 -05:00

🦜🪪 langchain-model-profiles

PyPI - Version PyPI - License PyPI - Downloads Twitter

Warning

This package is currently in development and the API is subject to change.

CLI tool for updating model profile data in LangChain integration packages.

Quick Install

pip install langchain-model-profiles

🤔 What is this?

langchain-model-profiles is a CLI tool for fetching and updating model capability data from models.dev for use in LangChain integration packages.

LangChain chat models expose a .profile field that provides programmatic access to model capabilities such as context window sizes, supported modalities, tool calling, structured output, and more. This CLI tool helps maintainers keep that data up-to-date.

Data sources

This package is built on top of the excellent work by the models.dev project, an open source initiative that provides model capability data.

LangChain model profiles augment the data from models.dev with some additional fields. We intend to keep this aligned with the upstream project as it evolves.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs. You can also chat with the docs using Chat LangChain.

Usage

Update model profile data for a specific provider:

langchain-profiles refresh --provider anthropic --data-dir ./langchain_anthropic/data

This downloads the latest model data from models.dev, merges it with any augmentations defined in profile_augmentations.toml, and generates a profiles.py file.