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What is HumanLayer?

HumanLayer offers a versatile API and SDK designed to facilitate interactions between AI agents and humans for the purpose of gathering feedback, input, and approvals. It guarantees that essential function calls undergo careful monitoring with human oversight through customizable approval workflows that function across various platforms, including Slack and email. By integrating smoothly with preferred Large Language Models (LLMs) and a variety of frameworks, HumanLayer provides AI agents with secure access to external data sources. The platform supports a wide array of frameworks and models, such as LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. Its notable features encompass structured approval workflows, the integration of human input as a pivotal component, and personalized responses that can escalate as necessary. HumanLayer enhances the interaction experience by enabling pre-filled response prompts, which promote smoother exchanges between humans and AI agents. Additionally, users have the capability to direct inquiries to specific individuals or teams while managing the rights of users who can approve or respond to LLM queries. By facilitating a shift in control from human-initiated actions to agent-initiated interactions, HumanLayer amplifies the adaptability of AI communications. The platform also integrates multiple human communication channels into the agent's toolkit, thus broadening the scope of user engagement possibilities and fostering a richer collaboration environment. This ability to streamline interactions ultimately enhances the overall efficiency of the communication process between humans and AI systems.

What is DeepEval?

DeepEval presents an accessible open-source framework specifically engineered for evaluating and testing large language models, akin to Pytest, but focused on the unique requirements of assessing LLM outputs. It employs state-of-the-art research methodologies to quantify a variety of performance indicators, such as G-Eval, hallucination rates, answer relevance, and RAGAS, all while utilizing LLMs along with other NLP models that can run locally on your machine. This tool's adaptability makes it suitable for projects created through approaches like RAG, fine-tuning, LangChain, or LlamaIndex. By adopting DeepEval, users can effectively investigate optimal hyperparameters to refine their RAG workflows, reduce prompt drift, or seamlessly transition from OpenAI services to managing their own Llama2 model on-premises. Moreover, the framework boasts features for generating synthetic datasets through innovative evolutionary techniques and integrates effortlessly with popular frameworks, establishing itself as a vital resource for the effective benchmarking and optimization of LLM systems. Its all-encompassing approach guarantees that developers can fully harness the capabilities of their LLM applications across a diverse array of scenarios, ultimately paving the way for more robust and reliable language model performance.

Media

Media

Integrations Supported

LangChain
LlamaIndex
OpenAI
Claude
CrewAI
Gemini
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise
Gemini Nano
Haystack
KitchenAI
Mathstral
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Opik
Ragas
Slack

Integrations Supported

LangChain
LlamaIndex
OpenAI
Claude
CrewAI
Gemini
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise
Gemini Nano
Haystack
KitchenAI
Mathstral
Mistral Large
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Opik
Ragas
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

HumanLayer

Company Location

United States

Company Website

www.humanlayer.dev/

Company Facts

Organization Name

Confident AI

Company Location

United States

Company Website

docs.confident-ai.com

Categories and Features

Categories and Features

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