HumanLayer Introduction
HumanLayer is a powerful tool for building more reliable and robust AI agents. It provides an easy-to-use API and SDK that allows you to seamlessly integrate human feedback and approvals into your agent workflows. This helps to ensure that your agents make informed decisions and avoid costly mistakes. HumanLayer works with all the major frameworks and LLMs, allowing you to easily integrate it into your existing stack. Get started in minutes!
HumanLayer Features
Human Approval for Function Calls
HumanLayer's core functionality centers around requiring human approval for critical function calls within your AI agent workflows. This is achieved using a decorator that pauses execution until a human approves or denies the request. Feedback is then incorporated back into the agent's context.
Omnichannel Human Contact
HumanLayer offers omnichannel contact, allowing you to integrate with various communication tools such as Slack, email, and Discord. This versatility allows you to interact with humans in their preferred environment and streamline the feedback process.
Advanced Approval Workflows
The platform facilitates advanced approval workflows, enabling coordination across multiple teams and individuals. Features like escalations and timeouts ensure timely responses and efficient management of approvals, preventing bottlenecks in the workflow.
HumanLayer Frequently Asked Questions
What constitutes an active user in HumanLayer?
An active user is anyone registered to approve or respond to agent requests. This includes individuals or teams who provide feedback and make decisions within the HumanLayer workflow. Their activity is tracked to monitor usage and engagement with the platform.
How do escalations and timeouts work in HumanLayer's approval process?
Escalations and timeouts allow for managing approvals across teams and individuals. If an initial approver doesn't respond within a set time, requests can automatically escalate to other designated users. This ensures timely decisions and prevents delays in agent workflows.
Can I use feedback data from HumanLayer to improve my AI agents?
HumanLayer lets you export feedback datasets for training and evaluation purposes. This allows for improving the AI agent's performance based on real-world human interactions and provides valuable data for analyzing the effectiveness of the agent's decisions.