AI-Parrot Tools
ai-parrot-tools is a collection of tools and toolkits for AI-Parrot agents. Each tool wraps an external API or service behind a unified interface that agents can discover and invoke automatically.
Installation
pip install ai-parrot-tools
Install only the extras you need:
# Individual extras
pip install ai-parrot-tools[aws]
pip install ai-parrot-tools[slack]
pip install ai-parrot-tools[jira]
pip install ai-parrot-tools[google]
pip install ai-parrot-tools[finance]
pip install ai-parrot-tools[db]
# Everything
pip install ai-parrot-tools[all]
Available Extras
| Extra | Description |
|---|---|
jira |
Jira issue tracking |
slack |
Slack messaging |
aws |
AWS services (EC2, S3, RDS, Lambda, ECS, IAM, etc.) |
docker |
Docker container management |
git |
Git repository operations |
analysis |
Data analysis with pandas, numpy, autoviz |
excel |
Excel and ODF spreadsheet support |
sandbox |
Sandboxed code execution via Docker |
codeinterpreter |
Interactive code interpreter |
pulumi |
Pulumi infrastructure-as-code |
sitesearch |
Website crawling and search |
office365 |
Microsoft 365 / Graph API integration |
scraping |
Web scraping with Selenium |
finance |
Financial analysis (TA-Lib, yfinance, Alpaca) |
db |
Database querying via QuerySource |
flowtask |
FlowTask workflow integration |
google |
Google APIs (Search, Maps, Routes) |
arxiv |
arXiv paper search |
wikipedia |
Wikipedia lookups |
weather |
OpenWeatherMap |
messaging |
MQTT and IMAP messaging |
workday |
Workday SOAP/REST interfaces (zeep, pandas, aiohttp) — see parrot_tools.interfaces.workday |
Quick Start
from parrot.bots import Agent
agent = Agent(
name="assistant",
instructions="You are a helpful assistant.",
tools=["google_search", "weather", "calculator"],
)
response = await agent.chat("What's the weather in New York?")
Tools are registered by name. Pass a list of tool names to any AI-Parrot agent and they are loaded on demand.
Creating Custom Tools
Use the @tool decorator for simple functions:
from parrot.tools import tool
@tool
def get_stock_price(symbol: str) -> str:
"""Get the current stock price for a ticker symbol."""
...
Use AbstractToolkit for multi-tool collections:
from parrot.tools import AbstractToolkit
class MyToolkit(AbstractToolkit):
name = "my_toolkit"
description = "A collection of related tools."
def get_tools(self):
...
Requirements
- Python >= 3.11
- ai-parrot >= 0.23.18
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for ai-parrot-tools 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai_parrot_tools-0.3.1.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_parrot_tools-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / ai_parrot_tools-0.3.1.tar.gz
| Download URL | ai_parrot_tools-0.3.1.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / ai_parrot_tools-0.3.1-py3-none-any.whl
| Download URL | ai_parrot_tools-0.3.1-py3-none-any.whl |
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| Size | 1.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.
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