WEBVTT 00:00:00.000 --> 00:00:02.839 All right, welcome to your personalized deep 00:00:02.839 --> 00:00:05.419 dive. Today we're going right to the heart. of 00:00:05.419 --> 00:00:09.599 modern AI and tackling this whole challenge of 00:00:09.599 --> 00:00:11.980 managing and securing these incredibly powerful 00:00:11.980 --> 00:00:14.960 models that everyone's building and using now. 00:00:15.500 --> 00:00:17.940 And you've given us some really, really fascinating 00:00:17.940 --> 00:00:20.199 stuff to work with here. Yeah, yeah, definitely 00:00:20.199 --> 00:00:22.539 some thought -provoking material. Absolutely. 00:00:23.019 --> 00:00:25.079 Our goal today is to kind of sift through it 00:00:25.079 --> 00:00:27.620 all and really pull out the key insights without 00:00:27.620 --> 00:00:30.679 completely overwhelming you. So just to give 00:00:30.679 --> 00:00:34.070 us a roadmap. We've got info on two ideas that 00:00:34.070 --> 00:00:36.109 seem connected, but are also kind of distinct, 00:00:36.390 --> 00:00:38.649 AI gateways and then something called AI guardrails. 00:00:38.789 --> 00:00:40.670 We've also got some details on this platform 00:00:40.670 --> 00:00:42.750 called Portkey and its features, including this 00:00:42.750 --> 00:00:45.570 thing called Trustgate. Now, our mission today 00:00:45.570 --> 00:00:48.570 is to really try to understand the core differences 00:00:48.570 --> 00:00:51.130 between these approaches. When would you choose 00:00:51.130 --> 00:00:53.909 one over the other? How do platforms like Portkey 00:00:53.909 --> 00:00:57.509 actually fit into this whole landscape? And then 00:00:57.509 --> 00:00:59.350 we'll kind of round it out by touching on the 00:00:59.350 --> 00:01:02.740 various aspects of managing. securing AI applications, 00:01:03.399 --> 00:01:05.200 all based on, of course, what you've provided. 00:01:05.579 --> 00:01:07.560 All right, so let's kick things off. Let's start 00:01:07.560 --> 00:01:11.260 with AI gateways. So what's the deal with these 00:01:11.260 --> 00:01:14.640 things? OK, so imagine this. An AI gateway is 00:01:14.640 --> 00:01:17.260 basically a comprehensive platform to manage 00:01:17.260 --> 00:01:20.379 and streamline access to all your AI models. 00:01:21.000 --> 00:01:23.560 Think of it like a central control hub, a brain 00:01:23.560 --> 00:01:26.239 for all your AI interactions. It's fascinating 00:01:26.239 --> 00:01:28.299 how much it actually handles. Yeah, it's definitely 00:01:28.299 --> 00:01:31.140 more than just like, simple connection point, 00:01:31.140 --> 00:01:33.280 right? Right, exactly. The information highlights 00:01:33.280 --> 00:01:36.379 several key functions. So first up we have model 00:01:36.379 --> 00:01:38.599 deployment. It sounds like this makes getting 00:01:38.599 --> 00:01:40.959 your AI models up and running across all sorts 00:01:40.959 --> 00:01:43.840 of different environments much much simpler and 00:01:43.840 --> 00:01:48.090 keeps things consistent. Precisely. you wouldn't 00:01:48.090 --> 00:01:49.870 want to manually set things up every time you 00:01:49.870 --> 00:01:52.329 want to use a new model. So the gateway just 00:01:52.329 --> 00:01:54.370 automates this whole process for you. And this 00:01:54.370 --> 00:01:56.409 not only saves time and effort, but it also ensures 00:01:56.409 --> 00:01:59.069 that your models are deployed in this standardized 00:01:59.069 --> 00:02:01.909 way. Whether that's on different cloud platforms 00:02:01.909 --> 00:02:04.769 or within your own systems, this consistency 00:02:04.769 --> 00:02:08.650 is key for reliable scaling. Yeah, that makes 00:02:08.650 --> 00:02:11.090 sense. And then there's this whole API management 00:02:11.090 --> 00:02:14.770 piece. So this centralizes control over all those 00:02:14.770 --> 00:02:16.870 requests that are going to your models, which 00:02:16.870 --> 00:02:19.750 helps you keep track of usage and even manage 00:02:19.750 --> 00:02:22.129 costs by setting some limits. That seems pretty 00:02:22.129 --> 00:02:25.030 crucial, especially with avoiding budget overruns. 00:02:25.069 --> 00:02:28.090 Oh, absolutely. By having the centralized view, 00:02:28.110 --> 00:02:31.069 you can really track exactly how your AI models 00:02:31.069 --> 00:02:34.569 are being used, identify maybe any unusual spikes 00:02:34.569 --> 00:02:37.129 or anything like that, and then implement those. 00:02:37.129 --> 00:02:40.669 controls to make sure you're staying within your 00:02:40.669 --> 00:02:42.870 resources. Yeah, that makes a lot of sense. Then 00:02:42.870 --> 00:02:44.789 there's security enforcement, which is, I mean, 00:02:44.889 --> 00:02:47.729 this is a big one. It's all about protecting 00:02:47.729 --> 00:02:51.050 your AI endpoints with things like authentication, 00:02:51.509 --> 00:02:53.270 encryption, access controls, all that stuff, 00:02:53.750 --> 00:02:56.490 all to stop unwanted visitors. Yeah, you got 00:02:56.490 --> 00:02:58.409 to keep the bad guys out. Exactly. Especially 00:02:58.409 --> 00:03:00.849 in today's environment, that's got to be like. 00:03:00.919 --> 00:03:03.659 Top of mind. Yeah, securing your AI infrastructure 00:03:03.659 --> 00:03:06.120 is it's it's non -negotiable. I mean, it's essential. 00:03:06.620 --> 00:03:10.539 So the AI gateway acts as like this, you know, 00:03:10.740 --> 00:03:13.960 gatekeeper, I guess, ensuring that only like 00:03:13.960 --> 00:03:17.060 the right people, you know, verified users and 00:03:17.060 --> 00:03:20.259 applications can even interact with your models 00:03:20.259 --> 00:03:22.819 in the first place and that all communication, 00:03:22.819 --> 00:03:25.680 you know, going back and forth is is protected 00:03:25.680 --> 00:03:27.900 through encryption and things like that. Right, 00:03:27.960 --> 00:03:30.900 right. And finally, we have performance monitoring. 00:03:31.039 --> 00:03:33.020 So this is all about tracking how quickly the 00:03:33.020 --> 00:03:35.520 AI is responding, if there are any errors, that 00:03:35.520 --> 00:03:38.060 kind of thing. So you can make sure everything's 00:03:38.060 --> 00:03:40.800 running smoothly. It's like having the AI's vital 00:03:40.800 --> 00:03:43.110 signs right there in front of you. Right. Exactly. 00:03:43.409 --> 00:03:45.509 You've got to know, like, is there a bottleneck 00:03:45.509 --> 00:03:47.930 somewhere? Is there a problem we need to address? 00:03:48.409 --> 00:03:51.909 Exactly. So by monitoring these performance indicators, 00:03:52.090 --> 00:03:56.590 you can quickly identify and resolve any issues 00:03:56.590 --> 00:03:59.590 that might be popping up, which ensures that 00:03:59.590 --> 00:04:04.110 your AI applications are dependable and are performing 00:04:04.110 --> 00:04:07.360 the way they should. This is vital for keeping 00:04:07.360 --> 00:04:12.060 users happy and maintaining trust in your AI 00:04:12.060 --> 00:04:14.129 systems. Makes sense. Makes sense. And you know 00:04:14.129 --> 00:04:17.069 what? The material even provides this great example, 00:04:17.170 --> 00:04:20.569 this large e -commerce platform that uses a gateway 00:04:20.569 --> 00:04:23.269 to manage all those API calls for its different 00:04:23.269 --> 00:04:25.129 recommendation systems. Oh, yeah, that's a good 00:04:25.129 --> 00:04:26.930 one. Really kind of brings it home, you know, 00:04:26.970 --> 00:04:28.910 like how it actually works in the real world. 00:04:29.149 --> 00:04:31.350 It does. Imagine, you know, you've got this e 00:04:31.350 --> 00:04:33.629 -commerce site with different AI models suggesting 00:04:33.629 --> 00:04:36.629 products on different pages. Right. The AI gateway. 00:04:37.040 --> 00:04:39.800 basically acts as this single point of entry 00:04:39.800 --> 00:04:42.699 for all those recommendation engines to access 00:04:42.699 --> 00:04:45.759 that underlying AI. So it's managing the flow 00:04:45.759 --> 00:04:49.220 of requests and the security and the overall 00:04:49.220 --> 00:04:51.259 performance across all of them. Really cool. 00:04:51.699 --> 00:04:54.500 OK, so we've got a pretty good grasp on AI gateways 00:04:54.500 --> 00:04:57.699 now. I think so. Let's look at AI guardrails 00:04:57.699 --> 00:05:02.000 now. This is interesting. The information you 00:05:02.000 --> 00:05:04.699 shared describes these as solutions for more 00:05:04.699 --> 00:05:07.839 specific needs, like ensuring AI is behaving 00:05:07.839 --> 00:05:10.480 ethically, or filtering certain types of output, 00:05:10.879 --> 00:05:13.100 especially in those industries where you've got 00:05:13.100 --> 00:05:16.519 very strict regulations. Right. And this is where 00:05:16.519 --> 00:05:20.060 the key difference really lies, is in the focus. 00:05:21.899 --> 00:05:25.699 The AI Gateway provides this broad overarching 00:05:25.699 --> 00:05:28.899 management. The AI guardrails are designed for 00:05:28.899 --> 00:05:32.060 much more targeted interventions. They're about 00:05:32.060 --> 00:05:35.480 ensuring that AI behavior is aligned with specific 00:05:35.480 --> 00:05:38.879 ethical principles or safety guidelines or even 00:05:38.879 --> 00:05:41.459 legal requirements. So it's more like a focused 00:05:41.459 --> 00:05:44.459 set of rules compared to the wider management 00:05:44.459 --> 00:05:47.689 role of the Gateway. Exactly, yeah. Think of 00:05:47.689 --> 00:05:50.589 guardrails as specific safety measures that you 00:05:50.589 --> 00:05:54.350 put in place for particular AI applications or 00:05:54.350 --> 00:05:59.689 use cases, rather than this comprehensive platform 00:05:59.689 --> 00:06:03.410 for all your AI interactions. That makes sense. 00:06:03.730 --> 00:06:05.550 So how do you choose which tool is right for 00:06:05.550 --> 00:06:07.050 you? Well, the material you gave us actually 00:06:07.050 --> 00:06:09.910 helps with this. It suggests that AI gateways 00:06:09.910 --> 00:06:12.850 are probably best for organizations that need 00:06:12.850 --> 00:06:15.930 that centralized control, the ability to really 00:06:15.930 --> 00:06:19.129 scale their AI usage, and that robust security 00:06:19.129 --> 00:06:22.449 across many, many models and applications. It's 00:06:22.449 --> 00:06:24.430 positioned as a more future -proof solution. 00:06:24.509 --> 00:06:27.389 Yeah. Which I guess makes sense if you're thinking 00:06:27.389 --> 00:06:30.069 about larger deployments and things like that. 00:06:30.550 --> 00:06:32.350 Yeah, absolutely. I mean, for bigger, larger 00:06:32.350 --> 00:06:34.949 enterprises with these extensive AI deployments, 00:06:35.209 --> 00:06:38.930 the centralized management, the ability to handle 00:06:38.930 --> 00:06:42.629 increasing demands, and the strong security that 00:06:42.629 --> 00:06:46.170 Gateway offers really provides this comprehensive 00:06:46.170 --> 00:06:49.850 and sustainable approach. That makes sense. Now, 00:06:50.069 --> 00:06:54.110 AI guardrails are presented as the better option 00:06:54.110 --> 00:06:57.069 for more focused applications, particularly where, 00:06:57.410 --> 00:06:59.589 you know, you need to stick to very specific 00:06:59.589 --> 00:07:02.250 ethical standards or, you know, content filtering 00:07:02.250 --> 00:07:04.509 is just absolutely critical. Yeah, exactly. Like 00:07:04.509 --> 00:07:06.269 if you've got, let's say, a particular application 00:07:06.269 --> 00:07:09.589 where you absolutely need to, you know, prevent 00:07:09.589 --> 00:07:13.709 the generation of certain types of content or, 00:07:13.709 --> 00:07:16.230 you know, adhere to some very, very specific 00:07:16.230 --> 00:07:19.649 ethical guidelines, then maybe, you know, a dedicated 00:07:19.649 --> 00:07:22.310 guardrail solution would be. That would be the 00:07:22.310 --> 00:07:24.449 way to go. Okay. Now, this is where it gets really 00:07:24.449 --> 00:07:28.069 interesting. The information also mentions their 00:07:28.069 --> 00:07:31.529 trust gate as this industry -leading AI gateway 00:07:31.529 --> 00:07:33.569 that kind of goes beyond traditional guardrails. 00:07:33.689 --> 00:07:36.689 It offers centralized control, advanced security, 00:07:36.870 --> 00:07:39.230 and scalability. So it seems like some gateways 00:07:39.230 --> 00:07:42.850 are now integrating these guardrail -like functionalities. 00:07:42.889 --> 00:07:45.509 Yeah, that's a very important observation. It 00:07:45.509 --> 00:07:47.529 seems like the lines are starting to blur a little 00:07:47.529 --> 00:07:51.329 bit between the two. Right. solutions like Trustgate 00:07:51.329 --> 00:07:55.050 are aiming to provide the broad management capabilities 00:07:55.050 --> 00:07:59.790 of a gateway while also incorporating some of 00:07:59.790 --> 00:08:01.490 those advanced security and control features 00:08:01.490 --> 00:08:04.850 that you might typically associate with the guardrails. 00:08:05.870 --> 00:08:08.750 So this trend kind of suggests a move towards 00:08:08.750 --> 00:08:13.029 these more unified and comprehensive AI management 00:08:13.029 --> 00:08:15.610 platforms, kind of having everything in one place. 00:08:15.670 --> 00:08:17.870 Yeah, it's like the best of both worlds. Yeah, 00:08:17.970 --> 00:08:20.699 exactly. So this leads us perfectly into the 00:08:20.699 --> 00:08:23.740 information about Porky. And it seems to have 00:08:23.740 --> 00:08:26.439 this really interesting mix of features that 00:08:26.439 --> 00:08:29.279 could relate to both gateway and maybe even guardrail 00:08:29.279 --> 00:08:32.100 functionalities. And this is where it gets really 00:08:32.100 --> 00:08:34.139 cool, how these things are actually coming together 00:08:34.139 --> 00:08:36.539 in a real world platform. Right, right. So looking 00:08:36.539 --> 00:08:38.840 at the details, we see things like API endpoints 00:08:38.840 --> 00:08:44.100 for managing users and workspaces, things like 00:08:44.100 --> 00:08:46.659 creating, accessing, updating, and even deleting 00:08:46.659 --> 00:08:50.799 them. So this definitely points to that centralized 00:08:50.799 --> 00:08:53.059 management aspect that we've been discussing 00:08:53.059 --> 00:08:56.299 with the AI gateways. Right, right. I mean, managing 00:08:56.299 --> 00:08:59.799 who has access and how it's all organized is 00:08:59.799 --> 00:09:02.559 a fundamental part of what a gateway needs to 00:09:02.559 --> 00:09:04.840 do. It's a special hub. We also see a section 00:09:04.840 --> 00:09:09.159 on providing feedback on AI responses with parameters 00:09:09.159 --> 00:09:11.879 like a trace side and thumbs up, thumbs down 00:09:11.879 --> 00:09:16.250 value. And this indicates some sort of mechanism 00:09:16.250 --> 00:09:21.750 for monitoring and improving how your AI is actually 00:09:21.750 --> 00:09:24.570 performing, which, again, is a core function 00:09:24.570 --> 00:09:28.149 of the AI gateways. Yeah. You need to know what's 00:09:28.149 --> 00:09:30.210 working, what's not working, how people are responding 00:09:30.210 --> 00:09:32.929 to it. Absolutely. You need that insight. So 00:09:32.929 --> 00:09:35.929 the information goes into detail about how Portakie 00:09:35.929 --> 00:09:38.769 handles these different kinds of messages, including 00:09:38.769 --> 00:09:42.769 messages from tools and user messages that might 00:09:42.769 --> 00:09:44.929 even contain images, and how it transforms forms 00:09:44.929 --> 00:09:49.070 them into these formats that providers like Anthropic 00:09:49.070 --> 00:09:52.649 can understand. So this really highlights this 00:09:52.649 --> 00:09:56.549 interoperability and management of different 00:09:56.549 --> 00:10:00.990 AI models, which is a core aspect of the gateway. 00:10:01.169 --> 00:10:03.549 It's acting like this universal translator. That's 00:10:03.549 --> 00:10:06.049 really cool. It is. It's making it much easier 00:10:06.049 --> 00:10:08.250 to work with all these different models without 00:10:08.250 --> 00:10:11.799 having to like... worry about the nitty -gritty 00:10:11.799 --> 00:10:14.480 technical details of each one. It is. It's taking 00:10:14.480 --> 00:10:17.929 away some of those underlying... complexities 00:10:17.929 --> 00:10:20.950 of interacting with the different AI providers 00:10:20.950 --> 00:10:23.590 and offering you a more streamlined and consistent 00:10:23.590 --> 00:10:26.250 experience. That's awesome. Now, we also see 00:10:26.250 --> 00:10:29.049 configurations for things like virtual keys, 00:10:29.230 --> 00:10:30.970 different kinds of caching, including this thing 00:10:30.970 --> 00:10:34.350 called semantic caching, and automatic retry 00:10:34.350 --> 00:10:37.289 mechanisms. All these features really point towards 00:10:37.289 --> 00:10:39.669 optimizing performance and keeping costs down, 00:10:39.769 --> 00:10:41.850 and then ensuring reliability when you're interacting 00:10:41.850 --> 00:10:45.789 with AI models through this central point, which 00:10:45.789 --> 00:10:47.990 is essentially You know, what a gateway is all 00:10:47.990 --> 00:10:50.889 about. Yeah, these are classic gateway functionality. 00:10:51.870 --> 00:10:54.309 So virtual keys help manage access to different 00:10:54.309 --> 00:10:56.929 AI services. Caching reduces the time it takes 00:10:56.929 --> 00:11:00.309 to get responses and lowers costs by reusing 00:11:00.309 --> 00:11:04.529 previous results. And retry mechanisms improve 00:11:04.529 --> 00:11:09.009 reliability by automatically trying failed requests 00:11:09.009 --> 00:11:12.779 again. Yeah, that's super helpful. And then there's 00:11:12.779 --> 00:11:15.740 even this whole load balancing piece across multiple 00:11:15.740 --> 00:11:18.240 API keys from the same provider, like OpenAI, 00:11:18.340 --> 00:11:20.879 which is also mentioned. And this really emphasizes, 00:11:21.039 --> 00:11:24.240 again, the gateway's role in managing and optimizing 00:11:24.240 --> 00:11:26.779 AI usage. Yeah, it's all about efficiency. Right. 00:11:26.980 --> 00:11:31.759 So by distributing the requests across multiple 00:11:31.759 --> 00:11:34.139 keys, you can avoid hitting those rate limits 00:11:34.139 --> 00:11:38.860 that the AI providers might impose and ensure. 00:11:38.639 --> 00:11:42.539 sure that your applications remain performant, 00:11:42.700 --> 00:11:45.899 even under a heavy load. Right. Right. That's 00:11:45.899 --> 00:11:51.460 really smart. OK. Now. The ability to forward 00:11:51.460 --> 00:11:54.379 custom headers to the model API's through port 00:11:54.379 --> 00:11:57.139 key that gives you even more flexibility and 00:11:57.139 --> 00:12:00.139 control over how you're interacting with These 00:12:00.139 --> 00:12:02.120 different AI services, right? It does because 00:12:02.120 --> 00:12:04.320 sometimes you need that, you know that extra 00:12:04.320 --> 00:12:07.500 level of customization Yeah, yeah, you know different 00:12:07.500 --> 00:12:09.899 different AI providers might require, you know 00:12:09.899 --> 00:12:13.100 specific headers for certain Certain advanced 00:12:13.100 --> 00:12:15.740 features right and the ability to forward these 00:12:15.740 --> 00:12:18.980 through the gateway gives you that that really 00:12:18.980 --> 00:12:22.179 fine -grained control. And then, of course, security 00:12:22.179 --> 00:12:25.379 is obviously built in here. Authentication happens 00:12:25.379 --> 00:12:28.539 through a Porky API key for secure access to 00:12:28.539 --> 00:12:30.679 the platform. Yeah, absolutely. That Porky API 00:12:30.679 --> 00:12:34.340 key is like your digital credential, basically, 00:12:34.360 --> 00:12:38.559 ensuring that only the authorized users can access 00:12:38.559 --> 00:12:41.919 and manage your AI infrastructure through the 00:12:41.919 --> 00:12:46.149 platform. Now, there's this mention of gateway 00:12:46.149 --> 00:12:50.309 to other APIs and the ability to access any custom 00:12:50.309 --> 00:12:53.610 provider endpoint through the Porky API. And 00:12:53.610 --> 00:12:56.169 that really highlights its role as this central 00:12:56.169 --> 00:12:58.429 hub for all these different AI interactions. 00:12:59.009 --> 00:13:01.830 It's not limited to just the big, well -known 00:13:01.830 --> 00:13:04.029 providers. No, no, it's not at all. That's a 00:13:04.029 --> 00:13:08.360 really powerful... capability, because it extends 00:13:08.360 --> 00:13:12.820 the utility of the gateway beyond those commonly 00:13:12.820 --> 00:13:16.879 supported AI services. It allows you to integrate 00:13:16.879 --> 00:13:22.210 with more specialized or even in -house AI. deployments 00:13:22.210 --> 00:13:25.029 as well. OK, so monitoring performance trends, 00:13:25.309 --> 00:13:27.470 costs, errors, and how much the platform is being 00:13:27.470 --> 00:13:31.190 used over time is also a key feature here. And 00:13:31.190 --> 00:13:33.389 this, again, goes back to that performance monitoring 00:13:33.389 --> 00:13:35.269 aspect of an AI gateway that we were talking 00:13:35.269 --> 00:13:36.830 about before. It does. Yeah, you need to be able 00:13:36.830 --> 00:13:39.470 to see the trends, see how things are evolving 00:13:39.470 --> 00:13:43.549 over time. Exactly. Exactly. So tracking these 00:13:43.549 --> 00:13:46.169 metrics over time gives you this really valuable 00:13:46.169 --> 00:13:50.710 insight into the efficiency and the cost effectiveness 00:13:50.710 --> 00:13:54.470 and the reliability of your AI applications. 00:13:54.470 --> 00:13:56.929 Right. Allowing you to make informed decisions 00:13:56.929 --> 00:14:02.019 about about optimization and resource allocation. 00:14:02.200 --> 00:14:03.539 Right, so you can make adjustments as you go. 00:14:03.679 --> 00:14:06.679 Yeah, absolutely. Now, the way that Porky transforms 00:14:06.679 --> 00:14:09.379 those OpenAI -style function definitions into 00:14:09.379 --> 00:14:13.379 a tool format used by Anthropic, that's a great 00:14:13.379 --> 00:14:16.460 example of that, that interoperability and the 00:14:16.460 --> 00:14:18.639 abstraction layer that a gateway can provide. 00:14:18.980 --> 00:14:21.019 It's making all these different systems work 00:14:21.019 --> 00:14:23.879 together smoothly. Yeah, it's a perfect illustration 00:14:23.879 --> 00:14:27.100 of the value a gateway can bring by handling 00:14:27.100 --> 00:14:29.620 these these format conversions behind the scenes. 00:14:29.799 --> 00:14:32.519 It just, it simplifies the process of, you know, 00:14:32.700 --> 00:14:34.879 using those, those advanced features like tool 00:14:34.879 --> 00:14:38.259 calling across different AI providers that might 00:14:38.259 --> 00:14:40.200 have their own, you know, unique implementations. 00:14:40.620 --> 00:14:43.419 It's kind of like that, you know, that universal 00:14:43.419 --> 00:14:46.179 adapter that you can use, you know, when you 00:14:46.179 --> 00:14:47.960 travel to different countries. Yeah, yeah. It 00:14:47.960 --> 00:14:50.159 just makes things work. And it supports a ton 00:14:50.159 --> 00:14:53.419 of providers, OpenAI, Anthropic, Azure OpenAI, 00:14:54.159 --> 00:14:56.379 any scale, Cohere. I mean, this really shows 00:14:56.379 --> 00:15:00.409 its ability to to manage all those interactions 00:15:00.409 --> 00:15:04.029 across this diverse AI landscape. It's not limiting 00:15:04.029 --> 00:15:07.309 you to one specific ecosystem. And that's a huge 00:15:07.309 --> 00:15:10.029 advantage because it gives you that flexibility 00:15:10.029 --> 00:15:14.049 to choose the best models for your. your particular 00:15:14.049 --> 00:15:16.590 needs, regardless of who the underlying provider 00:15:16.590 --> 00:15:19.830 is, all through this consistent interface. This 00:15:19.830 --> 00:15:21.970 is where things get really interesting, though, 00:15:21.970 --> 00:15:23.929 because it brings us back to our earlier discussion 00:15:23.929 --> 00:15:26.970 about guardrails. We see mentions of platform 00:15:26.970 --> 00:15:29.389 updates that include new guardrail integrations 00:15:29.389 --> 00:15:32.549 with prompt foo and mistral moderations, as well 00:15:32.549 --> 00:15:35.350 as enhanced capabilities for setting up guardrails 00:15:35.350 --> 00:15:38.289 using those regular expressions within Portkey 00:15:38.289 --> 00:15:41.990 itself. So this is a clear indication that Portkey 00:15:41.990 --> 00:15:43.730 offers those those guardrail functionalities 00:15:43.730 --> 00:15:46.049 on top of its gateway features. It's not just 00:15:46.049 --> 00:15:49.169 an AI gateway, right? It's incorporating these 00:15:49.169 --> 00:15:53.070 guardrail features. And this allows you to manage 00:15:53.070 --> 00:15:57.029 and secure those AI interactions all from one 00:15:57.029 --> 00:16:00.090 platform. So you're addressing those broad management 00:16:00.090 --> 00:16:03.029 aspects as well as those specific safety and 00:16:03.029 --> 00:16:05.529 compliance requirements. Yeah, it's pretty amazing. 00:16:05.590 --> 00:16:08.490 And it doesn't stop there. There are features 00:16:08.490 --> 00:16:11.620 like PII redaction, which is... automatically 00:16:11.620 --> 00:16:13.960 removing that personally identifiable information 00:16:13.960 --> 00:16:16.980 from requests and responses, a unified way to 00:16:16.980 --> 00:16:19.820 handle files and batches across all these different 00:16:19.820 --> 00:16:22.679 providers, conditional routing of requests, support 00:16:22.679 --> 00:16:25.720 for controlling the AI's reasoning effort, and 00:16:25.720 --> 00:16:27.559 improvements to how those streaming responses 00:16:27.559 --> 00:16:32.269 are handled. It's mind blowing how comprehensive 00:16:32.269 --> 00:16:34.950 this is. Yeah, I mean these advanced features 00:16:34.950 --> 00:16:39.190 really highlight the sophistication of this platform. 00:16:39.889 --> 00:16:44.169 PIR redaction is essential for protecting sensitive 00:16:44.169 --> 00:16:48.320 data. The unified file and batch. API simplifies 00:16:48.320 --> 00:16:51.220 working with all those different providers' data 00:16:51.220 --> 00:16:53.820 formats. Conditional routing allows for more 00:16:53.820 --> 00:16:57.519 precise control over how requests are processed. 00:16:57.580 --> 00:16:59.419 Right. And all the other features just contribute 00:16:59.419 --> 00:17:02.059 to better performance, efficiency, and user experience. 00:17:02.299 --> 00:17:03.879 Yeah. And then you've got the ability to actually 00:17:03.879 --> 00:17:06.400 set budget limits on the API keys you're using 00:17:06.400 --> 00:17:09.720 with those providers and to implement detailed 00:17:09.720 --> 00:17:13.359 user roles and permissions. And this really aligns 00:17:13.359 --> 00:17:16.099 with the governance and cost management aspects. 00:17:16.170 --> 00:17:19.750 of a really well -rounded AI management platform. 00:17:19.890 --> 00:17:22.089 It's about keeping things secure, keeping things 00:17:22.089 --> 00:17:24.710 within budget. Yeah, governance is so important, 00:17:24.869 --> 00:17:28.029 especially in larger organizations. These features 00:17:28.029 --> 00:17:34.170 give you the control to manage who can access 00:17:34.170 --> 00:17:36.789 and use those AI resources and to effectively 00:17:36.789 --> 00:17:39.940 manage the associated cost. It makes a lot of 00:17:39.940 --> 00:17:41.720 sense. And then, you know, to top it all off, 00:17:41.859 --> 00:17:45.279 it integrates with those popular AI development 00:17:45.279 --> 00:17:47.740 frameworks like Langchain and Limeindex, and 00:17:47.740 --> 00:17:50.180 it supports all those different, you know, LLM 00:17:50.180 --> 00:17:52.440 providers and modalities, really solidifying 00:17:52.440 --> 00:17:55.440 its role as this central point for interacting 00:17:55.440 --> 00:17:57.859 with, you know, this huge range of AI technologies. 00:17:58.259 --> 00:18:00.940 Like, it plays really well with the existing, 00:18:00.940 --> 00:18:03.960 you know, ecosystem. Right. That's right. It's 00:18:03.960 --> 00:18:07.359 very compatible with those leading AI tools, 00:18:07.359 --> 00:18:09.839 and it supports those. those different data formats. 00:18:09.900 --> 00:18:13.500 It's a very versatile solution in today's AI 00:18:13.500 --> 00:18:16.339 world. And then specifically, there's this mention 00:18:16.339 --> 00:18:19.700 of guardrails for embedding requests. Right. 00:18:19.900 --> 00:18:22.119 So it highlights that you can even apply these 00:18:22.119 --> 00:18:25.119 guardrail principles at the level of those data 00:18:25.119 --> 00:18:27.240 representations, focusing on things like content 00:18:27.240 --> 00:18:29.839 moderation and compliance, even at that foundational 00:18:29.839 --> 00:18:31.839 level. That's right. Like you can make even the 00:18:31.839 --> 00:18:35.019 underlying data itself safer. Yeah, and this 00:18:35.019 --> 00:18:37.400 is a really important layer of security because 00:18:37.400 --> 00:18:40.099 by By applying guardrails to those embedding 00:18:40.099 --> 00:18:42.839 requests, you can ensure that the very representations 00:18:42.839 --> 00:18:47.480 of your data adhere to your safety and compliance 00:18:47.480 --> 00:18:50.019 standards. And this has implications for all 00:18:50.019 --> 00:18:53.730 downstream. AI applications. Right. And there's 00:18:53.730 --> 00:18:56.029 flexibility in how you can configure these guardrails, 00:18:56.130 --> 00:18:58.170 like to immediately block requests or handle 00:18:58.170 --> 00:19:01.490 them in a more delayed way. And there are even 00:19:01.490 --> 00:19:03.109 these feedback mechanisms. It shows you have 00:19:03.109 --> 00:19:06.769 options in how strict or how immediate that safety 00:19:06.769 --> 00:19:09.109 enforcement needs to be. And that flexibility 00:19:09.109 --> 00:19:13.150 is really key here. You can tailor the behavior. 00:19:13.519 --> 00:19:17.140 of the guardrails to your specific needs. Right. 00:19:17.460 --> 00:19:20.359 Whether you need that immediate blocking of non 00:19:20.359 --> 00:19:25.119 -compliant content or more asynchronous approach. 00:19:25.140 --> 00:19:27.460 Right. And the feedback mechanisms are crucial 00:19:27.460 --> 00:19:30.859 as well for continuously monitoring and refining 00:19:30.859 --> 00:19:33.059 your guardrail configurations. Yeah, that makes 00:19:33.059 --> 00:19:35.599 sense. And then finally, just to kind of wrap 00:19:35.599 --> 00:19:38.799 things up, it even integrates with other specialized 00:19:38.799 --> 00:19:42.240 guardrail providers like Pangea and Pillar, which 00:19:42.240 --> 00:19:45.000 further expands your options for ensuring safety 00:19:45.000 --> 00:19:46.819 and compliance. It's not just relying on its 00:19:46.819 --> 00:19:50.599 own built -in guardrail capabilities. Yeah, that 00:19:50.599 --> 00:19:53.740 open and integrated approach is really valuable. 00:19:54.000 --> 00:19:56.920 By supporting integrations with these specialized 00:19:56.920 --> 00:20:01.720 guardrail providers, Porky offers a more... a 00:20:01.720 --> 00:20:04.400 more comprehensive and customizable solution 00:20:04.400 --> 00:20:08.220 for your AI safety and compliance needs. So what 00:20:08.220 --> 00:20:10.140 does all of this mean for you? Well, it's pretty 00:20:10.140 --> 00:20:12.519 clear that AI gateways offer this really broad 00:20:12.519 --> 00:20:15.880 set of capabilities for managing, securing, and 00:20:15.880 --> 00:20:18.700 making your AI interactions more efficient. They're 00:20:18.700 --> 00:20:21.559 acting as that central command center for all 00:20:21.559 --> 00:20:23.880 your different AI applications and models. Yeah. 00:20:24.180 --> 00:20:28.460 And AI guardrails, they provide this more targeted 00:20:28.460 --> 00:20:32.079 approach for addressing those the specific safety 00:20:32.079 --> 00:20:34.960 and ethical concerns, making sure that the AI's 00:20:34.960 --> 00:20:36.799 output meets your standards. Right, exactly. 00:20:37.039 --> 00:20:39.119 And platforms like Portkey, with features like 00:20:39.119 --> 00:20:41.779 Trustgate, seem to be combining those two worlds, 00:20:42.160 --> 00:20:44.920 offering this really comprehensive solution for 00:20:44.920 --> 00:20:47.180 managing and securing AI applications across 00:20:47.180 --> 00:20:50.460 different providers and models. It's like simplifying 00:20:50.460 --> 00:20:52.920 your AI infrastructure by giving you this unified 00:20:52.920 --> 00:20:55.259 control plane. And the fact that it integrates 00:20:55.259 --> 00:20:57.720 with all these different AI models and development 00:20:57.720 --> 00:21:00.549 tools means that you can continue using your 00:21:00.549 --> 00:21:02.809 existing AI investments and still benefit from 00:21:02.809 --> 00:21:04.549 these, you know, these centralized management 00:21:04.549 --> 00:21:07.589 and security features. Right. It's not an all 00:21:07.589 --> 00:21:10.240 or nothing approach. No, no, not at all. All 00:21:10.240 --> 00:21:13.720 right. Well, that was our deep dive into AI gateways, 00:21:14.099 --> 00:21:16.880 guardrails, and platforms like Portkey. We hope 00:21:16.880 --> 00:21:19.160 this has given you a clearer picture of how these 00:21:19.160 --> 00:21:21.740 concepts work, how they're different, how they 00:21:21.740 --> 00:21:24.579 overlap, and ultimately how they can help you 00:21:24.579 --> 00:21:27.359 manage your AI projects more effectively. I mean, 00:21:27.440 --> 00:21:29.759 we covered a lot. Deployment, API management, 00:21:30.079 --> 00:21:33.319 security, monitoring, even cost control. Yeah, 00:21:33.440 --> 00:21:37.099 this field is constantly... evolving. So staying 00:21:37.099 --> 00:21:39.200 informed about these different approaches and 00:21:39.200 --> 00:21:42.299 the capabilities of platforms that are integrating 00:21:42.299 --> 00:21:45.420 them is really crucial as you navigate the world 00:21:45.420 --> 00:21:49.099 of AI. Absolutely. We'd love to hear what stood 00:21:49.099 --> 00:21:51.519 out to you from this discussion. Are there any 00:21:51.519 --> 00:21:54.019 areas that you'd like to explore in more detail? 00:21:54.299 --> 00:21:56.200 Or what are some of the challenges that you're 00:21:56.200 --> 00:21:58.220 currently facing when it comes to managing your 00:21:58.220 --> 00:22:01.279 own AI applications? Feel free to share your 00:22:01.279 --> 00:22:04.160 thoughts and questions with us. Hello to Tech 00:22:04.160 --> 00:22:06.940 Unplugged Podcast. Thank you for listening and 00:22:06.940 --> 00:22:09.819 stay tuned for more deep dives into the technologies 00:22:09.819 --> 00:22:10.740 shaping our world.