LangChain chat model abstractions for dynamic failover, load balancing, chaos engineering, and more!
Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types
Chainlit is a Python framework designed for building and deploying interactive, stateful conversational AI interfaces. It provides a backend-driven platform that connects language models and agent frameworks to a web-based chat frontend, managing the complexities of session state, message history, and real-time communication. The framework distinguishes itself by offering a component-based UI builder that allows developers to inject interactive widgets, rich media, and data visualizations directly into the chat stream. It supports the visualization of complex agent workflows, enabling users t
Visualization and debugging tool for LangChain workflows
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.
The main features of jetxu-llm/llama-github are: Application Services.
Open-source alternatives to jetxu-llm/llama-github include: andrewnguonly/chatabstractions — LangChain chat model abstractions for dynamic failover, load balancing, chaos engineering, and more! blackhc/llm-strategy — Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types. chainlit/chainlit — Chainlit is a Python framework designed for building and deploying interactive, stateful conversational AI interfaces.… copilotkit/copilotkit — CopilotKit is an agentic framework designed to integrate large language models into application frontends, enabling… cvs-health/langfair — LangFair is a Python library for conducting use-case level LLM bias and fairness assessments. amosjyng/langchain-visualizer — Visualization and debugging tool for LangChain workflows.