🛠️ Core Components

🏗️ Structures

📝 Tasks

🧠 Memory

🚗 Drivers

LLM & Orchestration

Retrieval & Storage

Multimodal

Web

Observability

🔧 Tools

🚂 Engines

📦 Additional Components

Documentation

Hello World Example

fromgriptape.drivers.prompt.openaiimportOpenAiChatPromptDriverfromgriptape.rulesimportRulefromgriptape.tasksimportPromptTasktask=PromptTask(prompt_driver=OpenAiChatPromptDriver(model="gpt-4.1"),rules=[Rule("Keep your answer to a few sentences.")],)result=task.run("How do I do a kickflip?")print(result.value)

To do a kickflip, start by positioning your front foot slightly angled near the middle of the board and your back foot on the tail.Pop the tail down with your back foot while flicking the edge of the board with your front foot to make it spin.Jump and keep your body centered over the board, then catch it with your feet and land smoothly. Practice and patience are key!

Task and Workflow Example

fromgriptape.drivers.prompt.openai_chat_prompt_driverimportOpenAiChatPromptDriverfromgriptape.drivers.web_search.duck_duck_goimportDuckDuckGoWebSearchDriverfromgriptape.rulesimportRule,Rulesetfromgriptape.structuresimportWorkflowfromgriptape.tasksimportPromptTask,TextSummaryTaskfromgriptape.toolsimportWebScraperTool,WebSearchToolfromgriptape.utilsimportStructureVisualizerfrompydanticimportBaseModelclassFeature(BaseModel):name:strdescription:stremoji:strclassOutput(BaseModel):answer:strkey_features:list[Feature]projects= ["griptape","langchain","crew-ai","pydantic-ai"]prompt_driver=OpenAiChatPromptDriver(model="gpt-4.1")workflow=Workflow(tasks=[        [PromptTask(id=f"project-{project}",input="Tell me about the open source project: {{ project }}.",prompt_driver=prompt_driver,context={"project":projects},output_schema=Output,tools=[WebSearchTool(web_search_driver=DuckDuckGoWebSearchDriver(),                    ),WebScraperTool(),                ],child_ids=["summary"],            )forprojectinprojects        ],TextSummaryTask(input="{{ parents_output_text }}",id="summary",rulesets=[Ruleset(name="Format",rules=[Rule("Be detailed."),Rule("Include emojis.")]                )            ],        ),    ])workflow.run()print(StructureVisualizer(workflow).to_url())

 Output: Here's a detailed summary of the open-source projects mentioned: 1. **Griptape** 🛠️:                                                                                                                - Griptape is a modular Python framework designed for creating AI-powered applications. It focuses on securely connecting to enterprise data and APIs. The framework provides structured components like Agents, Pipelines, and Workflows, allowing for both parallel and sequential operations. It includes built-in tools and supports custom tool creation for data and service interaction. 2. **LangChain** 🔗:    - LangChain is a framework for building applications powered by Large Language Models (LLMs). It offers a standard interface for models, embeddings, and vector stores, facilitating real-time data augmentation and model interoperability. LangChain integrates with various data sources and external systems, making it adaptable to evolving technologies. 3. **CrewAI** 🤖:    - CrewAI is a standalone Python framework for orchestrating multi-agent AI systems. It allows developers to create and manage AI agents that collaborate on complex tasks. CrewAI emphasizes ease of use and scalability, providing tools and documentation to help developers build AI-powered solutions. 4. **Pydantic-AI** 🧩:    - Pydantic-AI is a Python agent framework that simplifies the development of production-grade applications with Generative AI. Built on Pydantic, it supports various AI models and provides features like type-safe design, structured response validation, and dependency injection. Pydantic-AI aims to bring the ease of FastAPI development to AI applications. These projects offer diverse tools and frameworks for developing AI applications, each with unique features and capabilities tailored to different aspects of AI development.

Versioning

Contributing

License