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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
Professional prompt editors utilizing models like GPT-4o, Claude 3 Opus, and Gemini-1.5, along with function call simulation capabilities, enable the creation of diverse projects tailored for various use cases with distinct project members and configurations. Each member can have different access control levels, promoting collaborative prompting and sharing. Users can incorporate multiple image inputs in their messages while having control over individual detail parameters, facilitating easy manipulation of each message. The function call schema editor allows for simulation of function call returns seamlessly, and inline variables in prompts enable the running and comparison of results across different variable groups simultaneously. All sensitive information is secured through RSA-OAEP and AES-256-GCM encryption during both transmission and storage, ensuring privacy and data integrity. With Knit, no edits are ever lost, as all edit history is meticulously saved and can be restored at any moment. The platform is compatible with various models, including OpenAI, Claude, and Azure OpenAI, with plans to expand support for even more models. Almost all API parameters can be adjusted within the prompt editors, allowing users to optimize their prompts effectively and discover the most suitable parameters for their needs. This comprehensive approach ensures a streamlined experience for prompt editing and model interaction, fostering creativity and collaboration across teams.
API Access
Has API
API Access
Has API
Integrations
OpenAI
Azure OpenAI Service
Falcon AI
GPT-4
GPT-4o
Gemini
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Integrations
OpenAI
Azure OpenAI Service
Falcon AI
GPT-4
GPT-4o
Gemini
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$7 per month
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
PromptKnit
Website
promptknit.com