i365dev/llm_agent
An abstraction library for building domain-specific intelligent agents based on Large Language Models (LLMs). LLMAgent provides a core architecture and behavior definitions that simplify the development of specialized agents by leveraging the AgentForge framework for dynamic workflow orchestration.
Built on AgentForce's signal-driven architecture, it provides LLM-specific patterns including predefined message signals, tool execution handlers, and conversation state management through a dedicated store. The library supports multiple LLM providers (OpenAI, Anthropic) via a plugin system and enables dynamic workflow orchestration where agents compose multi-step workflows based on context. Domain-specific agents are constructed by combining system prompts, tool definitions, custom handlers, and specialized task flows—enabling rapid development of conversational, tool-using, and reasoning-focused agents.
Stars
27
Forks
6
Language
Elixir
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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