What is Knit?
Knit is an AI prompt management tool and playground for prompt designers and people building applications with language models. Knit brings prompt storage, editing and execution into projects, with separate editors for image inputs, conversations and one-time text generation. Project members can share prompts and collaborate on different use cases.
Knit lists support for models including gpt-4o, claude-3-opus and gemini-1.5-pro, alongside provider support that includes OpenAI, Claude and Azure OpenAI. Knit describes the product as early beta and says community feedback informs feature priorities. The website also states that Knit does not sell or share user data.
What Knit can do
Knit combines prompt editing with tools for testing model behavior and preserving changes. Knit provides an image editor, a conversation editor and a text generation editor rather than treating every prompt as the same workflow. Available controls include API parameters, inline variables, function schemas and simulated function call returns.
- Knit organizes prompts into projects with project members and settings.
- Knit accepts multiple image inputs in each user message with individual detail controls.
- Knit supports editing conversation messages and function call schemas.
- Knit simulates function call returns for conversation testing.
- Knit runs and compares text generation results across different variable groups.
- Knit saves edit history and allows previous edits to be restored.
- Knit generates code for integrating prompts into applications.
How Knit works
Knit provides a free getting-started path without requiring an API key. Users organize prompts into projects and use the editor suited to image input, conversation testing or text generation. Within those editors, users can manipulate messages, define inline variables and set nearly all API parameters before running prompts and comparing results.
Knit supports application integration through generated code, while the Plus plan includes unlimited runs using users' own API keys. Knit also keeps prompt edit history, with retention depending on the plan. For sensitive data, the website specifies RSA-OAEP and AES-256-GCM encryption in both transmission and storage.
Who Knit is for
Knit is aimed at prompt designers, with capabilities relevant to application builders testing prompts before integration. Knit also supports shared project work through project members and settings. The combination of message editing, function call simulation and variable comparisons supports experimentation across conversational, image-based and text generation use cases.
- Knit helps prompt designers iterate on prompt wording and API parameters.
- Knit helps application builders test mock function returns.
- Knit supports teams sharing prompts within projects.
- Knit supports comparing outputs from different inline variable groups.
Knit strengths and limitations
Knit combines several prompt-testing workflows with project organization, code export and recoverable editing history. Knit offers a free entry point without requiring an API key, while paid plans expand model access and usage allowances. The main constraints are plan-dependent access, finite credit allowances and the product's stated early-beta status.
- Knit limits Starter to basic models and a short prompt history.
- Knit places image prompts and access to all models in paid plans.
- Knit reserves member access control and unlimited prompt history for Pro.
- Knit remains in early beta according to the website.
Knit FAQ
What is Knit?
Knit is an AI playground and prompt management tool for storing, editing and running prompts. Knit provides separate editors for image inputs, conversations with function calls and one-time text generation, along with project organization and collaboration.
Is Knit free?
Knit offers a free-forever Starter plan with 2 projects, 4 prompts per project and 100 monthly credits. Knit also lists paid Plus and Pro plans that expand allowances and provide additional models, image prompts and longer prompt history.
Does Knit require an API key?
Knit does not require an API key to get started. Knit also supports using personal API keys: the Plus plan specifically includes unlimited runs with users' own API keys, alongside its monthly credit allowance.
Which AI models does Knit support?
Knit lists gpt-4o, claude-3-opus and gemini-1.5-pro among its supported models. Knit also names OpenAI, Claude and Azure OpenAI in its provider support information, while the pricing page limits Starter to basic models and gives paid plans access to all models.
Can Knit simulate function calls?
Knit supports function call simulation through its conversation prompt editor. Knit lets users manipulate conversation messages, edit function call schemas and simulate function call returns. Function call simulation is also explicitly included in the free Starter plan.
How does Knit protect data and prompt history?
Knit states that sensitive data is encrypted using RSA-OAEP and AES-256-GCM during transmission and storage, and that user data is not sold or shared. Knit saves restorable edit history, with history retention varying by subscription plan.
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