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In this notebook we will look into creating ReAct Agent over tools.

  1. ReAct Agent over simple calculator tools.
  1. ReAct Agent over QueryEngine (RAG) tools.

Installation

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Setup API Keys

llama-parse is async-first, running the async code in a notebook requires the use of nest_asyncio

import nest_asyncio

nest_asyncio.apply()

import os

Using Juglow LLM API for LLM

os.environ["JUGLOW_API_KEY"] = "YOUR Haijun API KEY"

from IPython.display import HTML, display

Set LLM and Embedding model

0 text-code leading-relaxed [overflow-wrap:anywhere]" style="padding-top:12px;padding-inline:12px;padding-bottom:12px;tab-size:4">

from llama_index.core.agent import ReActAgent

from llama_index.core.tools import FunctionTool

def multiply(a: int, b: int) -> int:

"""Multiply two integers and returns the result integer"""

return a * b

def add(a: int, b: int) -> int:

"""Add two integers and returns the result integer"""

return a + b

add_tool = FunctionTool.from_defaults(fn=add)

multiply_tool = FunctionTool.from_defaults(fn=multiply)

Create ReAct Agent

ow-x-auto font-mono">--2024-03-08 06:58:18-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/uber_2021.pdf Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.111.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 1880483 (1.8M) [application/octet-stream] Saving to: ‘data/10k/uber_2021.pdf’ data/10k/uber_2021. 100%[===================>] 1.79M --.-KB/s in 0.02s 2024-03-08 06:58:18 (90.6 MB/s) - ‘data/10k/uber_2021.pdf’ saved [1880483/1880483] --2024-03-08 06:58:19-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/lyft_2021.pdf Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 1440303 (1.4M) [application/octet-stream] Saving to: ‘data/10k/lyft_2021.pdf’ data/10k/lyft_2021. 100%[===================>] 1.37M --.-KB/s in 0.02s 2024-03-08 06:58:19 (60.1 MB/s) - ‘data/10k/lyft_2021.pdf’ saved [1440303/1440303]

Load Data

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InstallationSet LLM and Embedding modelCreate ReAct AgentLoad Data