Retrieves a JSON document using 'file_key' from a Figma URL. It includes
a 'document' node of type 'DOCUMENT' and a 'consider_components' mapping
node IDs to component metadata for source iden
Fetches nodes from a Figma file using `ids` and returns them in JSON with
metadata, permissions, and optional vector data. Details on documents and
components included; nulls for non-existent
Renders images from a file, outputs node IDs to image URLs map; errors omitted.
Supports up to 32 megapixels, scales down larger images, assets expire in
30 days. Null values in map indicate f
This API endpoint generates download links for user-uploaded images in Figma
documents, which are represented as fills in shapes. Links, tied to image
references from the GET files output, exp
This endpoint fetches the version history of a file, allowing you to see
the progression of a file over time. You can then use this information to
render a specific version of the file, via an
This endpoint lists all Projects within a specified team, visible only to
the authenticated user or token owner. However, obtaining a team id programmatically
with a token is not possible; it
Create a webhook to call an endpoint upon an event. It sends a PING upon
creation, but you can pause it during creation and reactivate it when desired.
Two methods exist for querying user payment info in plugins, widgets, or
Community files: using plugin payment tokens or providing user and resource
IDs. Queries are limited to resources owned
The API for Enterprise members enables listing of local and remote variables
in files and adds `boundVariables` to file details. It uses the same endpoint
for variable details and modes, exclu
The `GET /v1/files/:file_key/variables/published` API, for Enterprise org
members, fetches published variables, showing `id`, `subscribed_id` (changes
on modification), omitting modes for coll
The `POST /v1/files/:file_key/variables` endpoint lets Enterprise members
bulk manage variables & collections, including creation, update, and deletion,
with specific rules. Requests must be <
The text outlines a method for mass-producing dev resources, tracking successes
in the links_created array and noting failures—due to missing file_key,
resource limit, or URL duplication—in th
Bulk update dev resources across files updates IDs in `links_updated` if
successful. Unupdatable resources appear in `errors`, but may still return
a 200 response.
Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.
How does Composio.dev support figma?
Composio.dev seamlessly integrates with figma, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use figma to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.
What models can I use with figma and llamaindex_python?
When using figma and llamaindex_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.
How can I integrate figma with llamaindex_python?
Integrating figma with llamaindex_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both figma and llamaindex_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.
What is the pricing for figma and llamaindex_python?
Both figma and llamaindex_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.
What kind of authentication is supported for figma and llamaindex_python?
figma and llamaindex_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both figma and llamaindex_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.
Can I add figma to my project?
Absolutely! You can easily incorporate figma into your project by utilizing the Composio.dev API. This API allows you to call functions from both figma and llamaindex_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.
What is the accuracy of figma and llamaindex_python?
figma and llamaindex_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.
What are some common use cases for figma and llamaindex_python?
figma and llamaindex_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.
How does figma handle data privacy and security?
Data privacy and security are crucial considerations when working with AI systems, and figma takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. figma provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using figma for your AI development needs.
Can I customize figma and llamaindex_python for my specific needs?
Absolutely! figma and llamaindex_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.
What kind of support and documentation is available for figma and llamaindex_python?
figma and llamaindex_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.
All the tools your AI agents need, in one place.
Composio is an tool set for AI Agents and LLMS, designed to streamline and optimize the connection and interaction with your AI Agents/LLMs.