AgentX
AgentX is a comprehensive toolkit designed for use with Large Language Models (LLMs). It provides a variety of tools that can be utilized by LLM agents to perform a wide range of tasks, from date manipulation to statistical analysis, web scraping, and internet searching.
Features
- Date Tools: Perform various date-related operations such as getting the current date, calculating the number of days between dates, and converting dates to different formats.
- RAG Search Tools: Search through text files for specific medical codes or other information.
- Scraping Tools: Scrape data from websites.
- Search Tools: Search the internet for information on various topics.
- Statistical Tools: Perform statistical calculations such as mean, median, standard deviation, and more.
Installation
To install AgentX, run the following command:
pip install agentx
Usage
Here are some examples of how to use the various tools provided by AgentX:
Date Tools
from agentx import AgentX
agent = AgentX()
# Test date tools
print(agent.date_tools.get_current_date.invoke({}))
print(agent.date_tools.get_current_time.invoke({}))
print(agent.date_tools.get_date_after_days.invoke({"days": 5}))
print(agent.date_tools.get_date_before_days.invoke({"days": 5}))
print(agent.date_tools.get_day_of_week({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_days_between_dates.invoke({"start_date": {"year": 2023, "month": 6, "day": 1}, "end_date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_first_day_of_month.invoke({"year": 2023, "month": 6}))
print(agent.date_tools.get_last_day_of_month.invoke({"year": 2023, "month": 6}))
print(agent.date_tools.get_next_month.invoke({"year": 2023, "month": 6}))
print(agent.date_tools.get_previous_month.invoke({"year": 2023, "month": 6}))
print(agent.date_tools.get_previous_year.invoke({"year": 2023}))
print(agent.date_tools.get_days_in_month.invoke({"year": 2023, "month": 6}))
print(agent.date_tools.get_week_number.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_quarter.invoke({"month": 6}))
print(agent.date_tools.get_date_from_week_and_year.invoke({"week": 23, "year": 2023}))
print(agent.date_tools.get_date_from_day_of_year.invoke({"day_of_year": 162, "year": 2023}))
print(agent.date_tools.get_day_of_year.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_days_until_end_of_year.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_days_since_beginning_of_year.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_next_weekday.invoke({"date": {"year": 2023, "month": 6, "day": 10}, "weekday": 0}))
print(agent.date_tools.get_previous_weekday.invoke({"date": {"year": 2023, "month": 6, "day": 10}, "weekday": 0}))
print(agent.date_tools.get_nth_weekday_of_month.invoke({"year": 2023, "month": 6, "day": 10, "weekday": 0, "n": 2}))
print(agent.date_tools.get_last_weekday_of_month.invoke({"year": 2023, "month": 6, "weekday": 0}))
print(agent.date_tools.get_age.invoke({"birth_date": {"year": 1990, "month": 1, "day": 1}, "current_date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_date_from_timestamp.invoke({"timestamp": 1686412800}))
print(agent.date_tools.get_timestamp_from_date.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_date_from_iso_format.invoke("2023-06-10"))
print(agent.date_tools.get_iso_format_from_date.invoke({"date": {"year": 2023, "month": 6, "day": 10}}))
print(agent.date_tools.get_date_from_ordinal.invoke({"ordinal": 738532}))
RAG Search Tools
from agentx import AgentX
agent = AgentX()
print(agent.rag_search_tools.search_rag_txt('what is the medical codes for autism?', txt_file=r'path/to/file.txt'))
Scraping Tools
from agentx import AgentX
agent = AgentX()
print(agent.scraping_tools.scrape_website('https://www.nbcnews.com/politics/politics-news/live-blog/hunter-biden-trial-live-updates-rcna156114'))
Search Tools
from agentx import AgentX
agent = AgentX()
print(agent.search_tools.search_internet.invoke('what is hawking radiation?'))
Statistical Tools
from agentx import AgentX
agent = AgentX()
print(agent.statistical_tools.calculate_mean.invoke({"values": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_median.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_std.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_variance.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_min.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_max.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_sum.invoke({"numbers": [1, 2, 3, 4, 5]}))
print(agent.statistical_tools.calculate_percentile.invoke({"numbers": [1, 2, 3, 4, 5], "percentile": 50}))
Release files for agentx-tools 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agentx_tools-0.7.1.tar.gz | 9.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentx_tools-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.9 kB
Release files / agentx_tools-0.7.1.tar.gz
| Download URL | agentx_tools-0.7.1.tar.gz |
|---|---|
| Size | 9.0 kB |
| Tags | Source |
|
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No |
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Release files / agentx_tools-0.7.1-py3-none-any.whl
| Download URL | agentx_tools-0.7.1-py3-none-any.whl |
|---|---|
| Size | 8.9 kB |
| Tags | Python 3 |
|
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