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What is Papaya?

Papaya functions as a specialized optimization engine designed specifically for AI agents, allowing engineers to seamlessly connect their agents via an SDK. By analyzing production traces, it pinpoints opportunities for improvement related to context, prompts, prompt caching, subagents, and interactions with tools. The platform offers practical recommendations sorted by their impact on quality, latency, and cost, complemented by the production runs that generated each insight. Once these enhancements gain approval, they can be integrated into production as pull requests. With over 200 analyses rooted in research, Papaya frequently reveals quality enhancements that surpass 10% right from the initial workflow evaluation, establishing itself as a vital resource for ongoing optimization. This functionality empowers teams to enhance their AI processes in a manner that is both efficient and effective, fostering a culture of continuous improvement. Moreover, the insights gained can lead to more informed decision-making and better resource allocation within projects.

What is AgentOps?

We are excited to present an innovative platform tailored for developers to adeptly test and troubleshoot AI agents. This suite of essential tools has been crafted to spare you the effort of building them yourself. You can visually track a variety of events, such as LLM calls, tool utilization, and interactions between different agents. With the ability to effortlessly rewind and replay agent actions with accurate time stamps, you can maintain a thorough log that captures data like logs, errors, and prompt injection attempts as you move from prototype to production. Furthermore, the platform offers seamless integration with top-tier agent frameworks, ensuring a smooth experience. You will be able to monitor every token your agent encounters while managing and visualizing expenditures with real-time pricing updates. Fine-tune specialized LLMs at a significantly reduced cost, achieving potential savings of up to 25 times for completed tasks. Utilize evaluations, enhanced observability, and replays to build your next agent effectively. In just two lines of code, you can free yourself from the limitations of the terminal, choosing instead to visualize your agents' activities through the AgentOps dashboard. Once AgentOps is set up, every execution of your program is saved as a session, with all pertinent data automatically logged for your ease, promoting more efficient debugging and analysis. This all-encompassing strategy not only simplifies your development process but also significantly boosts the performance of your AI agents. With continuous updates and improvements, the platform ensures that developers stay at the forefront of AI agent technology.

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Integrations Supported

Amazon Web Services (AWS)
AutoGPT
AutoGen
Cohere
Google Cloud Platform
LangChain
LlamaIndex
Microsoft Azure
Naptha

Integrations Supported

Amazon Web Services (AWS)
AutoGPT
AutoGen
Cohere
Google Cloud Platform
LangChain
LlamaIndex
Microsoft Azure
Naptha

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

$40 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Papaya

Date Founded

2026

Company Location

United States

Company Website

papaya.fyi/

Company Facts

Organization Name

AgentOps

Company Location

United States

Company Website

www.agentops.ai/

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