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ease
features
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support

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Description

HumanLayer provides an API and SDK that allows AI agents to engage with humans for feedback, input, and approvals. It ensures that critical function calls are monitored by human oversight through approval workflows that operate across platforms like Slack and email. By seamlessly integrating with your favorite Large Language Model (LLM) and various frameworks, HumanLayer equips AI agents with secure access to external information. The platform is compatible with numerous frameworks and LLMs, such as LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. Key features include structured approval workflows, integration of human input as a tool, and tailored responses that can escalate as needed. It enables the pre-filling of response prompts for more fluid interactions between humans and agents. Additionally, users can direct requests to specific individuals or teams and manage which users have the authority to approve or reply to LLM inquiries. By allowing the flow of control to shift from human-initiated to agent-initiated, HumanLayer enhances the versatility of AI interactions. Furthermore, the platform allows for the incorporation of multiple human communication channels into your agent's toolkit, thereby expanding the range of user engagement options.

Description

Llama Stack is an innovative modular framework aimed at simplifying the creation of applications that utilize Meta's Llama language models. It features a client-server architecture with adaptable configurations, giving developers the ability to combine various providers for essential components like inference, memory, agents, telemetry, and evaluations. This framework comes with pre-configured distributions optimized for a range of deployment scenarios, facilitating smooth transitions from local development to live production settings. Developers can engage with the Llama Stack server through client SDKs that support numerous programming languages, including Python, Node.js, Swift, and Kotlin. In addition, comprehensive documentation and sample applications are made available to help users efficiently construct and deploy applications based on the Llama framework. The combination of these resources aims to empower developers to build robust, scalable applications with ease.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Codestral Mamba
Cohere
Discord
Gemini
Gemini 2.0 Flash
Gemini Nano
Google AI Plus
Haystack
Le Chat
Llama 3.1
Mathstral
Microsoft Teams
Ministral 8B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
OpenAI
Pixtral Large
Slack

Integrations

Codestral Mamba
Cohere
Discord
Gemini
Gemini 2.0 Flash
Gemini Nano
Google AI Plus
Haystack
Le Chat
Llama 3.1
Mathstral
Microsoft Teams
Ministral 8B
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
OpenAI
Pixtral Large
Slack

Pricing Details

$500 per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

HumanLayer

Country

United States

Website

www.humanlayer.dev/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

github.com/meta-llama/llama-stack

Product Features

Product Features

Alternatives

Alternatives

LangGraph Reviews

LangGraph

LangChain