AI Infrastructure · PyPI

llama_index_supervisor

This project is a Python-based multi-agent supervisor inspired by LangGraph, adapted for llama_index. It delegates tasks to specialized agents and tools, processes function-calling LLM responses, and manages conversation history. The structured workflow handles tool calls, processes agent handoffs with error handling, and provides flexible message management for hierarchical multi-agent systems.

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Details

Category
AI Infrastructure
Platform
PyPI
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15

Overview

This project is a Python-based multi-agent supervisor inspired by LangGraph, adapted for llama_index. It delegates tasks to specialized agents and tools, processes function-calling LLM responses, and manages conversation history. The structured workflow handles tool calls, processes agent handoffs with error handling, and provides flexible message management for hierarchical multi-agent systems.

Quick start

pip

pip install llama_index_supervisor

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llama_index_supervisor can do

agentllmfunction-callingmulti-agentworkflow
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Function Calling — function-calling task automation.
  • Multi Agent — multi-agent task automation.
  • Workflow — Coordinates multi-step business processes.

Frequently asked questions

What is llama_index_supervisor?
This project is a Python-based multi-agent supervisor inspired by LangGraph, adapted for llama_index. It delegates tasks to specialized agents and tools, processes function-calling LLM responses, and manages conversation history. The structured workflow handles tool calls, processes agent handoffs with error handling, and provides flexible message management for hierarchical multi-agent systems.
How do I install llama_index_supervisor?
Use pip: `pip install llama_index_supervisor`. Full setup details on the source page linked above.
Is llama_index_supervisor open source?
llama_index_supervisor is published on PyPI.
What are alternatives to llama_index_supervisor?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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