Package: saiku-py
Saiku.py - The AI AgentTable of ContentsAboutWhy Saiku?What is PEAS?FeaturesPrerequisites1. Using Saiku.py in Your Own ProjectsInstallationUsageInitializing Saiku AgentConfiguring SaikuInteracting with Saiku2. Using the Project ItselfUsageClone the RepositoryNavigate to Project FolderInstall DependenciesRun the Project LocallyDemoAvailable CommandsUse CasesExample Use CasesFuture FeaturesContributingSupport Saiku.pyFeedback and IssuesAPI Rate Limits/CostNoteLicenseAboutSaiku.py is a Python-based project aimed at creating a robust, intelligent AI Agent capable of automating various tasks. The agent follows the PEAS (Performance measure, Environment, Actuators, Sensors) framework, ensuring robustness, scalability, and efficiency.Why Saiku?"Saiku" (細工) in Japanese means detailed or delicate work, symbolizing the intricate and intelligent workings of our AI agent. The name reflects our commitment to precision, innovation, and advanced technology.What is PEAS?PEAS stands for Performance measure, Environment, Actuators, and Sensors. It's a framework used to describe the components of an intelligent agent:Performance Measure: Evaluating the agent's performanceEnvironment: The operational domain of the agentActuators: Actions the agent can performSensors: How the agent perceives its environmentFeaturesPython-based Modular DesignOpenAI GPT-4 IntegrationExtensible and CustomizableFeatures include text_to_speech, speech_to_text, chat, websocket, execute_code, text_image, and vision (video/image analysis using OpenAI Vision).PrerequisitesPython 3.8+OpenAI API key1. Using Saiku.py in Your Own ProjectsInstallationStep: Runpoetry add saiku.pyin your project directory.Usage1. Initializing Saiku AgentExample:fromsaikuimportAgentagent=Agent()# Initialize the agent2. Configuring SaikuExample Configuration:options={"llm":"openai","allowCodeExecution":True}agent.options(options)3. Interacting with SaikuExample Interaction:response=awaitagent.interact("Hello, how can I help you?")print(response)2. Using the Project ItselfUsageClone the Repositorygitclonehttps://github.com/your-repository/saiku.py.gitNavigate to Project Foldercdsaiku.pyInstall DependenciespoetryinstallRun the Project Locallypoetryshell
saikupyDemo[Include a link to a demo or screenshots if available]Available Actionstext_to_speech: Converts text to spoken audio.speech_to_text: Transcribes spoken audio to text.chat: Interactive chat with the AI.websocket: Sets up a WebSocket server for real-time interaction.execute_code: Executes a code snippet.text_image: Generates an image based on text input.vision: Analyzes videos or images using OpenAI Vision.Use CasesExample Use CasesTranscribing audio to textExtracting text from an imageSummarizing a long articleExecuting a code snippetInteractive chat with the AIAnalyzing videos or images for contentFuture Features[TODO: Include a list of planned features or enhancements]ContributingWe welcome contributions! Please see ourContributing Guidelinesfor more information.Support Saiku.pyWe are actively seeking support and contributions. If you believe in Saiku.py, consider supporting the project.Feedback and IssuesPlease open an issue on our GitHub repository for any feedback or problems you encounter.API Rate Limits/CostBe aware of the rate limits and costs associated with the OpenAI API.NoteSaiku.py is still in development, and features are subject to change.LicenseThis project is licensed under the MIT License - see theLICENSE.mdfile for details.