Flowllm

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FlowLLM is a robust framework designed to streamline the development of services leveraging Large Language Models (LLMs), embeddings, and vector stores. It encapsulates these powerful AI capabilities into easily deployable HTTP and Model Context Protocol (MCP) services, making it ideal for building AI conversation assistants, Retrieval-Augmented Generation (RAG) applications, and complex workflow services. This tool also facilitates seamless integration with MCP-compatible client applications, providing a versatile and efficient solution for diverse AI development needs.

Características Principales

• Simplified Op Development: Create business logic easily with base classes, lazy-initialized LLM/Embedding/Vector Store access, and integrated token counting.
• Support for HTTP Stream and RESTful APIs: Provide standard HTTP APIs with both synchronous JSON and streaming responses.
• Automatic Service Generation: Automatically deploy configured flows as HTTP, MCP, or command-line (CMD) services.
• Prompt Template Management: Utilize comprehensive prompt formatting and retrieval capabilities.
• 14 GitHub stars
• Flexible Flow Orchestration: Compose complex workflows using YAML configurations to combine operations in serial (`>>`) or parallel (`|`) patterns.

Casos de Uso

• Building AI conversation assistants
• Developing Retrieval-Augmented Generation (RAG) applications
• Creating intelligent workflow services