Shypd.aiThe largest open index of AI toolsLLMFlows is an AI Agents & Automation tool that provides a framework for building simple, explicit, and transparent LLM applications. It enables developers to create chatbots, question-answering systems, and AI agents with full control over prompts and LLM calls.
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LLMFlows is a Python framework designed for building simple, explicit, and transparent Large Language Model (LLM) applications. It offers a minimalistic set of abstractions for utilizing LLMs and vector stores, allowing developers to construct well-structured applications like chatbots, question-answering systems, and AI agents. A core philosophy of LLMFlows is to ensure complete transparency for each component, making monitoring, maintenance, and debugging straightforward. The framework provides classes for LLMs (like OpenAI's APIs), PromptTemplates for dynamic prompt generation, and MessageHistory for managing chat conversations. For complex applications, it introduces Flow and FlowStep classes to manage dependencies between LLM calls, with AsyncFlowStep available for parallel execution to optimize performance. LLMFlows also supports integrations with vector databases like Pinecone and offers callbacks for enhanced customization and tracing.
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