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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Agenta provides a complete open-source LLMOps solution that brings prompt engineering, evaluation, and observability together in one platform. Instead of storing prompts across scattered documents and communication channels, teams get a single source of truth for managing and versioning all prompt iterations. The platform includes a unified playground where users can compare prompts, models, and parameters side-by-side, making experimentation faster and more organized. Agenta supports automated evaluation pipelines that leverage LLM-as-a-judge, human reviewers, and custom evaluators to ensure changes actually improve performance. Its observability stack traces every request and highlights failure points, helping teams debug issues and convert problematic interactions into reusable test cases. Product managers, developers, and domain experts can collaborate through shared test sets, annotations, and interactive evaluations directly from the UI. Agenta integrates seamlessly with LangChain, LlamaIndex, OpenAI APIs, and any model provider, avoiding vendor lock-in. By consolidating collaboration, experimentation, testing, and monitoring, Agenta enables AI teams to move from chaotic workflows to streamlined, reliable LLM development.

Description

BudgetML is an ideal solution for professionals looking to swiftly launch their models to an endpoint without investing excessive time, money, or effort into mastering the complex end-to-end process. We developed BudgetML in response to the challenge of finding a straightforward and cost-effective method to bring a model into production promptly. Traditional cloud functions often suffer from memory limitations and can become expensive as usage scales, while Kubernetes clusters are unnecessarily complex for deploying a single model. Starting from scratch also requires navigating a myriad of concepts such as SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, and backend servers, which can be overwhelming for the average data scientist. BudgetML directly addresses these hurdles, prioritizing speed, simplicity, and accessibility for developers. It is not intended for comprehensive production environments but serves as a quick and economical way to set up a server efficiently. Ultimately, BudgetML empowers users to focus on their models without the burden of unnecessary complications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFuzzer
Cohere
Docker
Falcon AI
FastAPI
Google Cloud Platform
Gunicorn
Kubernetes
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
OAuth
OpenAI
Python
Swagger
ZenML

Integrations

APIFuzzer
Cohere
Docker
Falcon AI
FastAPI
Google Cloud Platform
Gunicorn
Kubernetes
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
OAuth
OpenAI
Python
Swagger
ZenML

Pricing Details

Free
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

Agenta

Founded

2023

Country

Germany

Website

agenta.ai/

Vendor Details

Company Name

ebhy

Website

github.com/ebhy/budgetml

Product Features

Alternatives

Alternatives