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features
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support

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Description

The Aditya Protocol serves as a control plane for operations that have been reviewed, specifically designed for teams engaging with AI agents, scripts, CI/CD processes, internal tools, and automation that are close to production environments. This innovative solution enables technical teams to request, review, approve, execute, and document crucial operational activities under human supervision, incorporating features such as reviewed command flows, rationale prompts, approval statuses, run histories, artifacts, access-token guidance, node-token guidance, settings controls, and workflows focused on providing evidence. Currently, the Aditya Protocol is available for a limited supervised pilot program involving select trusted technical reviewers and service-provider partners, and it is explicitly not intended as a wide-scale public release, certification tool, legal advisory resource, or a substitute for human operational judgment. As such, the protocol emphasizes the importance of human oversight in all operational processes it facilitates.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Codestral No 
Codestral Mamba No 
Cohere No 
CrewAI No 
Gemini No 
Gemini 1.5 Pro No 
Gemini 2.0 No 
Gemini Nano No 
Gemini Pro No 
LlamaIndex No 
Mathstral No 
Microsoft Teams No 
Mistral 7B No 
Mistral AI No 
Mistral Large No 
Mistral Small No 
Mixtral 8x7B No 
OpenAI No 
Slack No 

Integrations

Codestral Yes 
Codestral Mamba Yes 
Cohere Yes 
CrewAI Yes 
Gemini Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Yes 
Gemini Nano Yes 
Gemini Pro Yes 
LlamaIndex Yes 
Mathstral Yes 
Microsoft Teams Yes 
Mistral 7B Yes 
Mistral AI Yes 
Mistral Large Yes 
Mistral Small Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Slack Yes 

Pricing Details

$79/month
Free Trial No 
Free Version No 

Pricing Details

$500 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Aditya Labs

Founded

2026

Country

United Kingdom

Website

adityaprotocol.com

Vendor Details

Company Name

HumanLayer

Country

United States

Website

www.humanlayer.dev/

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