HumanLayer Introduction
HumanLayer is an API and SDK that enables AI agents to communicate with humans through tool-based and asynchronous workflows, providing guaranteed human oversight for high-stakes function calls via Slack, email, and other channels.
View MoreWhat is HumanLayer
Founded in 2023 by Dexter Horthy, HumanLayer is a YC-backed company that provides a solution for integrating human feedback into AI agent workflows. It serves as a bridge between AI agents and human operators, allowing for seamless communication and oversight in both Python and TypeScript environments. The platform is designed to ensure safe and reliable AI agent operations by incorporating human judgment into critical decision-making processes.
How does HumanLayer work?
HumanLayer operates through two main features: Approval Workflows and Human as Tool functionality. The Approval Workflows feature allows developers to embed human oversight checkpoints into their AI agents' operations, requiring human approval for high-stakes function calls. When an AI agent reaches a critical decision point, HumanLayer automatically routes the request to designated human operators via Slack, email, or other channels. The Human as Tool feature enables AI agents to proactively seek human input, feedback, or guidance during their operations, creating asynchronous, outer-loop agent workflows. The platform supports various AI frameworks including LangChain, CrewAI, and LlamaIndex, and works with popular LLMs like OpenAI, Claude, and Mistral.
Benefits of HumanLayer
Using HumanLayer provides multiple advantages for organizations implementing AI agents. It ensures safety and reliability by guaranteeing human oversight of critical operations, reducing the risk of AI mistakes or hallucinations. The platform enables quick integration with a 5-minute SDK setup, supports customizable response options and escalation paths, and allows for team-specific routing of approvals. Additionally, it helps build more robust AI systems by collecting human feedback that can be exported as high-fidelity labeled datasets for training and evaluation purposes. The platform's asynchronous nature means humans can efficiently manage multiple AI agents while maintaining control over high-stakes decisions.
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