2 dépôts
Manages the runtime loop that processes AI prompts until a specific completion sequence is detected.
Distinct from Task Completion Sequences: Focuses on the managed execution loop and prompt processing rather than just the definition of the completion sequence.
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ReAct is an agentic workflow template and prompting framework for large language models. It implements a logic pattern that integrates chain-of-thought reasoning with external tool execution to solve complex, multi-step tasks. The framework uses an interleaved reasoning and acting logic, forcing the model to document its internal thought process before executing an action. This cycle of planning and acting allows the system to interact with external APIs or databases and inject real-world data back into the model context to refine reasoning paths. The project covers autonomous task execution
Uses structured natural language templates to orchestrate a repeating cycle of thinking, acting, and observing.
Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist
Executes a managed loop that continues processing agent turns until predefined completion signals are met.