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Humanlayer
Overview :
HumanLayer is an API and SDK that enables AI agents to reach out to humans for feedback, input, and approval. It ensures human oversight on high-risk function calls through approval workflows across channels like Slack and email, securely connecting your chosen LLMs and frameworks with AI agents. Backed by Y Combinator, HumanLayer is compatible with various popular frameworks and LLMs, including OpenAI, Claude, and Llama 3.1. It provides a platform that enhances AI agents' capabilities through a human-in-the-loop approach, increasing their reliability and efficiency. HumanLayer offers a pricing strategy that includes free, paid, and custom enterprise plans to meet diverse user needs.
Target Users :
Our target audience includes developers, data scientists, and professionals in the AI field. HumanLayer is suitable for them as it provides a platform that enhances the capabilities of AI agents through a human-in-the-loop approach, making AI systems more reliable and efficient. It allows developers to integrate human oversight into their AI systems, improving the accuracy and safety of decision-making.
Use Cases
- Implement approval workflows for AI agents using HumanLayer in Slack.
- Integrate HumanLayer through email channels to get human feedback on critical decisions.
- Utilize HumanLayer's custom responses and escalation features to optimize the customer service process for AI agents.
Features
- Approval Workflows: Rapidly launch the SDK to ensure human oversight for critical function calls.
- Humans as Tools: Integrate multiple human contact channels into your agent's toolchain.
- Custom Responses and Escalation: Pre-fill response prompts for seamless human-machine interaction.
- Support for Popular Frameworks and LLMs: Compatible with frameworks such as LangChain, CrewAI, and ControlFlow.
- Learning and Automatic Approval: Automatically approve or reject requests based on past human interactions.
- Escalation and Timeouts: Coordinate approvals across multiple teams and individuals, supporting Promise.race() and Promise.all() semantics.
- Dataset Export: Regularly export real-time feedback as high-fidelity labeled datasets for fine-tuning and evaluation.
How to Use
1. Visit the HumanLayer official website and register an account.
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2. Choose a pricing plan that suits your needs, such as free, paid, or custom enterprise options.
3. Follow the documentation to integrate HumanLayer's API and SDK into your AI system.
4. Configure approval workflows and set up human oversight for critical function calls.
5. Leverage HumanLayer's custom responses and escalation features to optimize human-computer interaction.
6. Regularly export feedback datasets for fine-tuning and evaluating your AI system.
7. Communicate with HumanLayer's experts as needed for tailored advice and support.
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