What is Portkey.ai - Control Panel for AI Apps?
Portkey is a cutting-edge control panel designed specifically for Production AI, allowing AI teams to observe, govern, and optimize applications across their organizations seamlessly. With just three lines of code, Portkey provides essential tools that empower developers to ensure that their AI applications are reliable, efficient, and manageable.
What are the features of Portkey.ai - Control Panel for AI Apps?
1. Observability Suite:
Portkey’s Observability Suite offers a comprehensive set of tools for monitoring critical performance metrics. Teams can track over 40 metrics, including costs, quality, and latency, providing insights that help debug applications effectively thanks to detailed logs and traces.
2. AI Gateway:
Simplifying the development process, the AI Gateway allows users to route their requests to over 200 LLMs (Large Language Models) through a single, easy-to-manage endpoint. With support for fallbacks, load balancing, retries, caching, and canary tests, developers can ensure reliability and performance under load.
3. Prompt Management:
Gone are the days of relying on Git for managing prompts. With Portkey's collaborative Prompt Playground, users can develop and deploy prompts in a single platform, enhancing team efficiency and productivity.
4. Guardrails for LLMs:
Unpredictability in LLM behavior can be a major headache. Portkey introduces powerful Guardrails that allow users to synchronously run checks on requests, ensuring they behave as expected and are routed accurately.
5. Agent Framework Integration:
Portkey is compatible with various major agent frameworks such as Langchain, CrewAI, and Autogen, enabling teams to put their agents into production with confidence while streamlining workflows.
6. Blazing Fast Performance:
With Cloudflare workers, Portkey APIs operate with latencies of less than 40ms. The platform ensures that applications remain responsive without any slowdowns, boosting user experience.
7. Security and Compliance:
Portkey is committed to maintaining strict security standards, being ISO:27001 and SOC 2 certified, and compliant with GDPR. Your data is encrypted both in transit and at rest, with additional options for managed private cloud deployment available for enterprises.
What are the characteristics of Portkey.ai - Control Panel for AI Apps?
Portkey stands out due to its simplicity and effectiveness. It supports easy integration—one-minute setup—and works with leading AI providers out of the box. Features like detailed analytics and semantic caching make it a practical tool for scaling AI applications without complications. Also, Portkey's fanatical support guarantees that teams receive assistance whenever needed, allowing them to focus on their core projects.
What are the use cases of Portkey.ai - Control Panel for AI Apps?
Portkey is versatile and can be applied in various scenarios across industries, such as:
- AI-First Products: Companies developing AI-centric products can leverage Portkey to manage performance metrics, reduce costs, and optimize latency, all while ensuring their models perform reliably.
- Community Support Platforms: Projects like RAG-based community support can utilize Portkey for enhanced response times and analytical insights, managing thousands of daily interactions effortlessly.
- Content Generation: For businesses focused on content creation, Portkey’s guardrails and prompt management simplify the process of developing and deploying AI-generated content.
- Healthcare Solutions: AI-driven health solutions can integrate Portkey, ensuring robust performance and regulation compliance while monitoring operational metrics closely.
How to use Portkey.ai - Control Panel for AI Apps?
To integrate Portkey into your application, simply swap out the OpenAI API base path with Portkey's API endpoint. Afterward, Portkey routes your requests to OpenAI, allowing you to gain comprehensive control over your data and operations. The following is an example code snippet of how to incorporate Portkey into your project:
import Portkey from 'portkey-ai';
const portkey = new Portkey();
const chat = await portkey.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'gpt-4',
});
console.log(chat.choices);
This straightforward integration allows developers to manage their functionality and insights through Portkey effectively.
