PSAI
PowerShell AI module. Think ChatGPT meets PowerShell - Includes Autonomous Agents
Stars: 135
PSAI is a PowerShell module that empowers scripts with the intelligence of OpenAI, bridging the gap between PowerShell and AI. It enables seamless integration for tasks like file searches and data analysis, revolutionizing automation possibilities with just a few lines of code. The module supports the latest OpenAI API changes, offering features like improved file search, vector store objects, token usage control, message limits, tool choice parameter, custom conversation histories, and model configuration parameters.
README:
• Documentation •
Imagine empowering your PowerShell scripts with the intelligence of OpenAI. With PSAI, I’ve transformed how we interact with AI, making it as simple as running a command. PSAI bridges the gap between PowerShell and AI, enabling seamless integration for file searches, data analysis, and more. It's not just about automation; it's about revolutionizing what we can achieve with just a few lines of code. This module opens a world of possibilities, making AI accessible directly from your console and your scripts.
PSAI brings the power of autonomous agents to PowerShell, allowing you to seamlessly integrate AI capabilities into your scripts and terminal workflows. PSAI Agents enable you to build powerful, interactive tools that handle a variety of tasks, all powered by OpenAI's models. From quick calculations to detailed web searches, PSAI offers a flexible and intuitive way to create agents that can autonomously solve complex problems.
Think of PSAI Agents as digital Swiss Army knives—each agent is a specialized tool capable of running calculations, interacting with web services, fetching data, and executing multi-step tasks, all from within your PowerShell console.
Check out What Are Autonomous Agents in this README for more information.
PSAI and Agents embody the principle of "be the automator, not the automated." By giving you the tools to create sophisticated agents, PSAI empowers you to automate repetitive, data-driven tasks and allows you to focus on strategy and creativity.
Install-Module -Name PSAIAfter installing the module, you can start working with it by getting your OpenAI API key or Azure OpenAI secrets. Or both.
Get/Create your OpenAI API key from https://platform.openai.com/account/api-keys.
Then set $env:OpenAIKey to your key.
After creating an Azure OpenAI resource, you can use the PSAI module to interact with it.
You need to get the following secrets form the Azure Portal and Azure AI Studio - apiURI,apiVersion,apiKey,deploymentName.
$secrets = @{
apiURI = "<Your Azure OpenAI API URI>"
apiVersion = "<Your Azure OpenAI API Version>"
apiKey = "<Your Azure OpenAI API Key>"
deploymentName = "<Your Azure OpenAI Deployment Name>"
}
Set-OAIProvider AzureOpenAI
Set-AzOAISecrets @secretsThe full set of functions can be found here https://github.com/dfinke/PSAI/wiki/
Invoke-OAIChat 'How do I output all files in a directory PowerShell?'To output all files in a directory using PowerShell, you can use the Get-ChildItem cmdlet. Here's an example of how you can do it:
Get-ChildItem -Path "C:\Path\To\Directory" -FileReplace "C:\Path\To\Directory" with the path to the directory whose files you want to output. This command will list only files in the specified directory.
If you want to list all files, including files in subdirectories, you can add the -Recurse parameter to Get-ChildItem:
Get-ChildItem -Path "C:\Path\To\Directory" -File -RecurseThis command will recursively list all files in the specified directory and its subdirectories.
Run either of these commands in PowerShell to output all files in a directory.
Autonomous agents are AI-driven entities capable of making decisions and completing tasks without continuous human guidance. PSAI Agents combine the scripting power of PowerShell with the intelligence of OpenAI’s models to automate workflows that require both information processing and decision-making capabilities.
-
Modular Tools Integration: Agents can leverage various specialized tools, such as:
- CalculatorTool: Handles arithmetic and mathematical operations.
- WebSearchTool: Retrieves information from the web.
- StockTickerTool: Fetches stock information in real time.
-
Customizable Agents: Create agents that use predefined tools or add custom ones. Easily expand agent capabilities by registering new tools tailored to specific needs.
-
Natural Language Interaction: Utilize OpenAI models to interpret complex prompts and provide contextual, intelligent responses using natural language.
Here’s how to create a simple agent using the CalculatorTool:
$calculatorTool = New-CalculatorTool
$agent = New-Agent -Tools $calculatorTool -Name "CalculatorAgent" -Description "An agent that performs basic arithmetic operations"Once created, you can interact with the agent using the Get-AgentResponse command:
$agent | Get-AgentResponse '3 * 5 + 6 - is it prime?'The agent will respond with step-by-step calculations, such as:
Multiplying 3 and 5 to get 15
Adding 15 and 6 to get 21
The result of (3 * 5 + 6) is 21, and 21 is not a prime number.
Below are a few examples that showcase PSAI's capabilities:
Create a simple agent with instructions:
$SecretAgent = New-Agent -Instructions "Recipes should be under 5 ingredients"
$SecretAgent | Get-AgentResponse 'Share a breakfast recipe.'A calculator agent can solve arithmetic problems and check properties like primality:
param(
[string]$prompt = 'is 5 * 2 + 1 a prime number?',
[Switch]$ShowToolCalls
)
$agent = New-Agent -Tools (New-CalculatorTool) -ShowToolCalls:$ShowToolCalls
$agent | Get-AgentResponse $promptSearch for information using the TavilyAI tool:
NOTE: You need to set the TavilyAIKey environment variable with your API key. You can get a free key at https://tavily.com.
Set the TavilyAIKey environment variable: $env:TAVILY_API_KEY
$agent = New-Agent -Tools (New-TavilyAITool) -ShowToolCalls
$agent | Get-AgentResponse 'what is the latest news on PowerShell?'Fetch stock market data NOTE You can obtain an API key from: https://intelligence.financialmodelingprep.com/developer/docs
Set the StockTickerKey environment variable: $env:financialmodelingprep
$agent = New-Agent -Tools (New-StockTickerTool) -ShowToolCalls
$agent | Get-AgentResponse 'What did Microsoft, Apple, and Google close at?'Combining multiple tools to handle complex tasks:
$tools = $(
New-TavilyAITool
New-StockTickerTool
)
$agent = New-Agent -Tools $tools -ShowToolCalls
$agent | Get-AgentResponse 'What did Microsoft close at and the latest news for them?'We are continuously evolving PSAI Agents to meet more diverse automation needs:
- More Tools: Including weather information, document parsing, and task automation features.
- Interactive Sessions: Richer CLI interactions for more dynamic agent conversations.
- Workflow Automation: Agents capable of multi-step workflows that integrate with existing scripts and systems.
For questions or feedback, open an issue on GitHub or reach out via Twitter or LinkedIn.
Happy Automating!
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for PSAI
Similar Open Source Tools
PSAI
PSAI is a PowerShell module that empowers scripts with the intelligence of OpenAI, bridging the gap between PowerShell and AI. It enables seamless integration for tasks like file searches and data analysis, revolutionizing automation possibilities with just a few lines of code. The module supports the latest OpenAI API changes, offering features like improved file search, vector store objects, token usage control, message limits, tool choice parameter, custom conversation histories, and model configuration parameters.
AI-Scientist
The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.
crewAI-tools
This repository provides a guide for setting up tools for crewAI agents to enhance functionality. It offers steps to equip agents with ready-to-use tools and create custom ones. Tools are expected to return strings for generating responses. Users can create tools by subclassing BaseTool or using the tool decorator. Contributions are welcome to enrich the toolset, and guidelines are provided for contributing. The development setup includes installing dependencies, activating virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. The goal is to empower AI solutions through advanced tooling.
manifold
Manifold is a powerful platform for workflow automation using AI models. It supports text generation, image generation, and retrieval-augmented generation, integrating seamlessly with popular AI endpoints. Additionally, Manifold provides robust semantic search capabilities using PGVector combined with the SEFII engine. It is under active development and not production-ready.
morph
Morph is a python-centric full-stack framework for building and deploying data apps. It is fast to start, deploy and operate, requires no HTML/CSS knowledge, and is customizable with Python and SQL for advanced data workflows. With Markdown-based syntax and pre-made components, users can create visually appealing designs without writing HTML or CSS.
chroma
Chroma is an open-source embedding database that provides a simple, scalable, and feature-rich way to build Python or JavaScript LLM apps with memory. It offers a fully-typed, fully-tested, and fully-documented API that makes it easy to get started and scale your applications. Chroma also integrates with popular tools like LangChain and LlamaIndex, and supports a variety of embedding models, including Sentence Transformers, OpenAI embeddings, and Cohere embeddings. With Chroma, you can easily add documents to your database, query relevant documents with natural language, and compose documents into the context window of an LLM like GPT3 for additional summarization or analysis.
xlang
XLang™ is a cutting-edge language designed for AI and IoT applications, offering exceptional dynamic and high-performance capabilities. It excels in distributed computing and seamless integration with popular languages like C++, Python, and JavaScript. Notably efficient, running 3 to 5 times faster than Python in AI and deep learning contexts. Features optimized tensor computing architecture for constructing neural networks through tensor expressions. Automates tensor data flow graph generation and compilation for specific targets, enhancing GPU performance by 6 to 10 times in CUDA environments.
patchwork
PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.
GraphRAG-Local-UI
GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.
humanoid-gym
Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.
bedrock-claude-chat
This repository is a sample chatbot using the Anthropic company's LLM Claude, one of the foundational models provided by Amazon Bedrock for generative AI. It allows users to have basic conversations with the chatbot, personalize it with their own instructions and external knowledge, and analyze usage for each user/bot on the administrator dashboard. The chatbot supports various languages, including English, Japanese, Korean, Chinese, French, German, and Spanish. Deployment is straightforward and can be done via the command line or by using AWS CDK. The architecture is built on AWS managed services, eliminating the need for infrastructure management and ensuring scalability, reliability, and security.
robocorp
Robocorp is a platform that allows users to create, deploy, and operate Python automations and AI actions. It provides an easy way to extend the capabilities of AI agents, assistants, and copilots with custom actions written in Python. Users can create and deploy tools, skills, loaders, and plugins that securely connect any AI Assistant platform to their data and applications. The Robocorp Action Server makes Python scripts compatible with ChatGPT and LangChain by automatically creating and exposing an API based on function declaration, type hints, and docstrings. It simplifies the process of developing and deploying AI actions, enabling users to interact with AI frameworks effortlessly.
llm-applications
A comprehensive guide to building Retrieval Augmented Generation (RAG)-based LLM applications for production. This guide covers developing a RAG-based LLM application from scratch, scaling the major components, evaluating different configurations, implementing LLM hybrid routing, serving the application in a highly scalable and available manner, and sharing the impacts LLM applications have had on products.
skynet
Skynet is an API server for AI services that wraps several apps and models. It consists of specialized modules that can be enabled or disabled as needed. Users can utilize Skynet for tasks such as summaries and action items with vllm or Ollama, live transcriptions with Faster Whisper via websockets, and RAG Assistant. The tool requires Poetry and Redis for operation. Skynet provides a quickstart guide for both Summaries/Assistant and Live Transcriptions, along with instructions for testing docker changes and running demos. Detailed documentation on configuration, running, building, and monitoring Skynet is available in the docs. Developers can contribute to Skynet by installing the pre-commit hook for linting. Skynet is distributed under the Apache 2.0 License.
Deep-Live-Cam
Deep-Live-Cam is a software tool designed to assist artists in tasks such as animating custom characters or using characters as models for clothing. The tool includes built-in checks to prevent unethical applications, such as working on inappropriate media. Users are expected to use the tool responsibly and adhere to local laws, especially when using real faces for deepfake content. The tool supports both CPU and GPU acceleration for faster processing and provides a user-friendly GUI for swapping faces in images or videos.
For similar tasks
Azure-Analytics-and-AI-Engagement
The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.
sorrentum
Sorrentum is an open-source project that aims to combine open-source development, startups, and brilliant students to build machine learning, AI, and Web3 / DeFi protocols geared towards finance and economics. The project provides opportunities for internships, research assistantships, and development grants, as well as the chance to work on cutting-edge problems, learn about startups, write academic papers, and get internships and full-time positions at companies working on Sorrentum applications.
tidb
TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
zep-python
Zep is an open-source platform for building and deploying large language model (LLM) applications. It provides a suite of tools and services that make it easy to integrate LLMs into your applications, including chat history memory, embedding, vector search, and data enrichment. Zep is designed to be scalable, reliable, and easy to use, making it a great choice for developers who want to build LLM-powered applications quickly and easily.
telemetry-airflow
This repository codifies the Airflow cluster that is deployed at workflow.telemetry.mozilla.org (behind SSO) and commonly referred to as "WTMO" or simply "Airflow". Some links relevant to users and developers of WTMO: * The `dags` directory in this repository contains some custom DAG definitions * Many of the DAGs registered with WTMO don't live in this repository, but are instead generated from ETL task definitions in bigquery-etl * The Data SRE team maintains a WTMO Developer Guide (behind SSO)
mojo
Mojo is a new programming language that bridges the gap between research and production by combining Python syntax and ecosystem with systems programming and metaprogramming features. Mojo is still young, but it is designed to become a superset of Python over time.
pandas-ai
PandasAI is a Python library that makes it easy to ask questions to your data in natural language. It helps you to explore, clean, and analyze your data using generative AI.
databend
Databend is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.
For similar jobs
sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.
teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.
ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.
classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.
chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.