Sapling Ai integration
Language models for enterprise applications.
What your agents can do with Sapling Ai
5 pre-built Sapling Ai tool steps, ready to drop into any agent. Anything they do not cover, an agent can reach with an authenticated API call.
Actions (5)
Request Edits
Provides grammar, spelling, and stylistic edits for text. It is customizable through a dictionary and custom mappings; for custom language models, please contact sapling.ai. Sapling has prebuilt models for applications such as healthcare/medicine.
Request Completion
Provides predictions of the next few characters or words given the current context in a particular editable. The predictions are based on the previous text.
Reject Edit
Have Sapling not recommend the same edit anymore. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was not helpful.
Accept Edit
Have Sapling adapt its system over time. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was helpful.
Accept Completion
Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful.
Set up Sapling Ai in Relevance AI
Do this once. Every agent in your workspace can then use the connection.
Create a Relevance AI account
Sign in, or create a free account. You do not need to be a developer to set this up.
Connect your Sapling Ai account
In Relevance AI, open Integrations and add Sapling Ai, then paste your API Key. You will find it in your Sapling Ai account settings.
Use Sapling Ai in an agent
Create a tool, add a Sapling Ai tool step, and connect it to an agent. The agent fills in the step's inputs each time it runs.
Put Sapling Ai to work in your agents
Connect Sapling Ai alongside 1,800+ other integrations and let your agents run the busywork.