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ease
features
design
support

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Description

Collaborate effectively on prompts and assess LLM applications with assurance using Agenta, a versatile platform that empowers teams to swiftly develop powerful LLM applications. Build an interactive playground linked to your code, allowing the entire team to engage in experimentation and collaboration seamlessly. Methodically evaluate various prompts, models, and embeddings prior to launching into production. Share a link to collect valuable human feedback from team members, fostering a collaborative environment. Agenta is compatible with all frameworks, such as Langchain and Lama Index, as well as model providers, including OpenAI, Cohere, Huggingface, and self-hosted models. Additionally, the platform offers insights into the costs, latency, and chain of calls associated with your LLM application. Users can create straightforward LLM apps right from the user interface, but for those seeking to develop more tailored applications, coding in Python is necessary. Agenta stands out as a model-agnostic tool that integrates with a wide variety of model providers and frameworks, though it currently only supports an SDK in Python. This flexibility ensures that teams can adapt Agenta to their specific needs while maintaining a high level of functionality.

Description

Enable both technical and non-technical teams to efficiently test your LLM applications and deliver dependable products more swiftly. Speed up the LLM application development process to as little as 45 days. Foster collaboration between teams with an intuitive and user-friendly interface. Achieve complete insight into your LLM application's performance through extensive test coverage. Ottic seamlessly integrates with the tools utilized by your QA and engineering teams, requiring no additional setup. Address any real-world testing scenario and create a thorough test suite. Decompose test cases into detailed steps to identify regressions within your LLM product effectively. Eliminate the need for hardcoded prompts by creating, managing, and tracking them with ease. Strengthen collaboration in prompt engineering by bridging the divide between technical and non-technical team members. Execute tests through sampling to optimize your budget efficiently. Analyze failures to enhance the reliability of your LLM applications. Additionally, gather real-time insights into how users engage with your app to ensure continuous improvement. This proactive approach equips teams with the necessary tools and knowledge to innovate and respond to user needs swiftly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cohere
Falcon AI
GitHub
Hugging Face
Jira
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
OpenAI
Python
Slack
Zapier

Integrations

Cohere
Falcon AI
GitHub
Hugging Face
Jira
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
OpenAI
Python
Slack
Zapier

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

Country

Germany

Website

agenta.ai/

Vendor Details

Company Name

Ottic

Country

United States

Website

ottic.ai/

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Alternatives

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