agenticx-agent-builder

# AgenticX Agent Builder Guide for creating production-grade agents in AgenticX. ## Core Concepts An Agent in AgenticX consists of: - **Identity**: id, name, role, goal - **LLM Provider**: the language model backend - **Tools**: functions the agent can invoke - **Executor**: the runtime that orchestrates agent reasoning ## Creating an Agent ### Minimal Agent ```python from agenticx import Agent, Task, AgentExecutor from agenticx.llms import OpenAIProvider agent = Agent( id="assistant", name="Assistant", role="General Purpose Assistant", goal="Help users with tasks", organization_id="default" ) ``` ### Agent with Rich Configuration ```python agent = Agent( id="research-analyst", name="Research Analyst", role="Senior Research Analyst", goal="Produce thorough, well-cited research reports", backstory="10 years experience in data-driven research", organization_id="research-team", verbose=True ) ``` ### CLI Creation ```bash agx agent create research-analyst --role "Senior Research Analyst" agx agent list ``` ## LLM Providers AgenticX supports multiple LLM backends through a unified interface: ```python from agenticx.llms import OpenAIProvider, LiteLLMProvider # OpenAI llm = OpenAIProvider(model="gpt-4") # Any model via LiteLLM (Claude, Gemini, local models, etc.) llm = LiteLLMProvider(model="anthropic/claude-sonnet-4-20250514") llm = LiteLLMProvider(model="ollama/llama3") ``` ## Adding Tools ### Function Decorator To...