langcorn
Basic Information
Langcorn is a developer-focused project for serving LangChain-based large language model applications and autonomous agents using FastAPI. The repository targets LLMops workflows by providing a way to expose LangChain apps and agents as HTTP APIs so they can be hosted, tested, and integrated into services. It is intended as infrastructure for teams and developers who build agent-driven or chain-based LLM applications and need a straightforward method to run and serve those components over a web framework. The primary aim is to automate the process of turning LangChain constructs into running endpoints that can be called by other services or clients.
Links
Stars
933
Github Repository
Categorization
App Details
Features
Integrates LangChain constructs with a FastAPI web server to expose LLM apps and agents as HTTP endpoints. Emphasizes automatic serving and operational convenience for LangChain projects, positioning itself for LLMops use cases. Provides a consistent hosting surface for agent and chain configurations so developers can deploy and interact with LLM components without hand-crafting API scaffolding. Designed to simplify launching LangChain applications by focusing on runtime exposure, request handling, and developer ergonomics for building web-accessible LLM services.
Use Cases
Langcorn helps developers and teams by removing boilerplate required to turn LangChain agents and chains into accessible web services. It lowers the barrier to deploying LLM-based functionality by combining LangChain logic with a production-ready Python web framework, enabling faster testing and integration with other systems. By centralizing serving behavior, the project supports LLMops workflows such as maintaining, updating, and scaling agent endpoints. This makes it easier to operationalize prototypes, standardize APIs for multiple agents, and integrate language models into applications and services.
-
$$$$ -
$$$$