1 00:00:00,000 --> 00:00:01,900 OK, so let's just dive right in. 2 00:00:01,900 --> 00:00:05,480 If you've spent any time at all with modern AI, 3 00:00:05,480 --> 00:00:07,940 you've probably found an interface you like. 4 00:00:07,940 --> 00:00:08,440 Oh, yeah. 5 00:00:08,440 --> 00:00:10,400 Maybe it's chat GPT, maybe something else. 6 00:00:10,400 --> 00:00:12,440 You get used to it, the history, how it looks. 7 00:00:12,440 --> 00:00:14,640 But then you hit this wall, right? 8 00:00:14,640 --> 00:00:17,280 You're completely locked into that one company's models. 9 00:00:17,280 --> 00:00:18,000 Exactly. 10 00:00:18,000 --> 00:00:19,320 You're stuck. 11 00:00:19,320 --> 00:00:21,520 If a competitor releases a better model, 12 00:00:21,520 --> 00:00:23,920 you have to jump ship, learn a whole new interface, 13 00:00:23,920 --> 00:00:25,080 a new workflow. 14 00:00:25,080 --> 00:00:26,280 It's just friction. 15 00:00:26,280 --> 00:00:29,120 And that's what kills productivity. 16 00:00:29,120 --> 00:00:30,480 It's the definition of friction. 17 00:00:30,480 --> 00:00:32,440 The whole point of this digital transformation 18 00:00:32,440 --> 00:00:34,480 everyone's talking about is to remove that, 19 00:00:34,480 --> 00:00:37,000 to give you control over the intelligence 20 00:00:37,000 --> 00:00:40,040 without forcing you to abandon the interface you love. 21 00:00:40,040 --> 00:00:40,960 Precisely. 22 00:00:40,960 --> 00:00:43,680 So what if you could keep that interface you like, 23 00:00:43,680 --> 00:00:48,600 but have the total freedom to plug in any AI brain you want? 24 00:00:48,600 --> 00:00:51,360 I mean, any of them, from a giant cloud model 25 00:00:51,360 --> 00:00:54,000 to a tiny one running just on your laptop? 26 00:00:54,000 --> 00:00:57,800 And that idea, that shift from just being a consumer 27 00:00:57,800 --> 00:01:01,080 to becoming the conductor of your own AI orchestra. 28 00:01:01,080 --> 00:01:02,920 That's what we're really getting into today. 29 00:01:02,920 --> 00:01:05,880 Before we unify all that power, we 30 00:01:05,880 --> 00:01:07,560 really want to give a huge shout out 31 00:01:07,560 --> 00:01:10,800 to the supporter of this deep dive, Safe Server. 32 00:01:10,800 --> 00:01:12,460 Safe Server provides the hosting you 33 00:01:12,460 --> 00:01:16,440 need for this kind of flexible open source software. 34 00:01:16,440 --> 00:01:18,520 And they can really help with your whole digital 35 00:01:18,520 --> 00:01:19,640 transformation journey. 36 00:01:19,640 --> 00:01:22,440 They're great for getting these powerful tools deployed right. 37 00:01:22,440 --> 00:01:24,040 Yeah, if you want to maintain control 38 00:01:24,040 --> 00:01:26,300 and do it with confidence, you can find more information 39 00:01:26,300 --> 00:01:29,960 at www.safeserver.de. 40 00:01:29,960 --> 00:01:32,680 So today, our source material is taking a deep dive 41 00:01:32,680 --> 00:01:34,320 into something called LibreChat. 42 00:01:34,320 --> 00:01:37,280 The sources call it an enhanced chat GPT clone. 43 00:01:37,280 --> 00:01:40,120 Which is a good starting point, but it's so much more. 44 00:01:40,120 --> 00:01:42,480 It's a completely open source application, 45 00:01:42,480 --> 00:01:46,280 and it's designed to be this ultimate customizable hub 46 00:01:46,280 --> 00:01:48,520 for all your AI conversations. 47 00:01:48,520 --> 00:01:50,520 And for you listening to this, whether you're just 48 00:01:50,520 --> 00:01:53,240 starting out with AI or you're a seasoned developer, 49 00:01:53,240 --> 00:01:54,960 our mission here is pretty simple. 50 00:01:54,960 --> 00:01:57,520 We wanna help you understand how one single platform 51 00:01:57,520 --> 00:02:01,320 can unify this huge ecosystem of AI power. 52 00:02:01,320 --> 00:02:04,080 We'll show you the real practical benefits of that freedom 53 00:02:04,080 --> 00:02:06,160 and what it means for getting real work done 54 00:02:06,160 --> 00:02:08,080 without being locked into one vendor. 55 00:02:08,080 --> 00:02:09,840 Okay, let's start with the big idea, 56 00:02:09,840 --> 00:02:11,400 especially for a beginner. 57 00:02:11,400 --> 00:02:14,360 LibreChat, it looks and feels like the chat apps 58 00:02:14,360 --> 00:02:15,200 we all know. 59 00:02:15,200 --> 00:02:18,540 Right, it's familiar, no steep learning curve. 60 00:02:18,540 --> 00:02:21,440 But under the hood, it's an open source solution 61 00:02:21,440 --> 00:02:25,000 that connects to, well, virtually any major AI provider 62 00:02:25,000 --> 00:02:25,920 out there. 63 00:02:25,920 --> 00:02:29,560 It's like having a universal remote for the entire AI world. 64 00:02:29,560 --> 00:02:32,240 And the first most immediate benefit of that is, 65 00:02:32,240 --> 00:02:33,900 frankly, economic freedom. 66 00:02:33,900 --> 00:02:36,080 The sources really hammer this point home. 67 00:02:36,080 --> 00:02:38,280 You're not stuck paying $20 a month 68 00:02:38,280 --> 00:02:40,440 for a subscription to one service. 69 00:02:40,440 --> 00:02:41,280 Right. 70 00:02:41,280 --> 00:02:43,960 Instead, you can use LibreChat to connect directly 71 00:02:43,960 --> 00:02:46,520 to what are called paper call APIs. 72 00:02:46,520 --> 00:02:48,800 You only pay for the exact amount of processing, 73 00:02:48,800 --> 00:02:50,160 the tokens you actually use. 74 00:02:50,160 --> 00:02:53,240 So you could use the best cheapest model for one task 75 00:02:53,240 --> 00:02:55,760 and a more powerful expensive one for another, 76 00:02:55,760 --> 00:02:56,880 all from the same place. 77 00:02:56,880 --> 00:02:57,720 Exactly. 78 00:02:57,720 --> 00:02:59,640 And that flexibility is just critical. 79 00:02:59,640 --> 00:03:01,320 When we talk about which models it supports, 80 00:03:01,320 --> 00:03:03,100 we're not just talking about the usual suspects. 81 00:03:03,100 --> 00:03:04,680 I mean, yes, it covers the essentials. 82 00:03:04,680 --> 00:03:08,680 You've got Anthropix, Claude, AWS, Bedrock, OpenAI, Google. 83 00:03:08,680 --> 00:03:12,520 Azure, OpenAI, Vertex AI, sure, that's table stakes now. 84 00:03:12,520 --> 00:03:15,520 But look at the models that are really making waves. 85 00:03:15,520 --> 00:03:18,000 Things like the next gen GPT models, 86 00:03:18,000 --> 00:03:21,320 the latest from Gemini, DeepSeq, and especially 87 00:03:21,320 --> 00:03:23,200 the super fast Grok API. 88 00:03:23,200 --> 00:03:24,440 Mistral, too. 89 00:03:24,440 --> 00:03:26,400 So if a model is new and powerful, 90 00:03:26,400 --> 00:03:29,240 the goal is for this platform to be its front door. 91 00:03:29,240 --> 00:03:30,640 That's the idea. 92 00:03:30,640 --> 00:03:32,520 And this brings up a key technical point, 93 00:03:32,520 --> 00:03:35,400 especially for a beginner wondering how this all works. 94 00:03:35,400 --> 00:03:38,400 The magic word here is custom endpoints. 95 00:03:38,400 --> 00:03:39,400 OK, so break that down. 96 00:03:39,400 --> 00:03:40,640 What does that actually mean? 97 00:03:40,640 --> 00:03:43,800 Think of it like a universal power adapter for AI. 98 00:03:43,800 --> 00:03:46,040 Libertat is built to use any API that's 99 00:03:46,040 --> 00:03:48,240 compatible with OpenAI standard. 100 00:03:48,240 --> 00:03:50,660 And right now, almost everyone is building their APIs 101 00:03:50,660 --> 00:03:53,200 to match that standard, because it's become the default. 102 00:03:53,200 --> 00:03:54,520 So it's like a universal socket. 103 00:03:54,520 --> 00:03:55,600 It's a universal socket. 104 00:03:55,600 --> 00:03:58,160 This is how you can seamlessly plug in community projects 105 00:03:58,160 --> 00:04:00,480 like Alama, which lets you run models locally 106 00:04:00,480 --> 00:04:04,160 on your own machine, or services like OpenRouter and Cohere, 107 00:04:04,160 --> 00:04:07,720 all inside the same chat window, no extra software needed. 108 00:04:07,720 --> 00:04:10,960 And that ability to bridge your own local machine 109 00:04:10,960 --> 00:04:12,840 with the cloud, the big enterprise stuff 110 00:04:12,840 --> 00:04:14,840 with open source projects, that's 111 00:04:14,840 --> 00:04:17,720 what makes this whole unification thing so powerful. 112 00:04:17,720 --> 00:04:18,220 Right. 113 00:04:18,220 --> 00:04:20,880 So once you've solved that vendor lock-in problem, 114 00:04:20,880 --> 00:04:24,760 the next level is to make the AI smarter by giving it tools. 115 00:04:24,760 --> 00:04:28,360 And this gets us into what the sources call agent integration. 116 00:04:28,360 --> 00:04:31,120 OK, agents sounds a little sci-fi. 117 00:04:31,120 --> 00:04:33,840 For a beginner, what are we really talking about here? 118 00:04:33,840 --> 00:04:36,360 Think of them as no code custom assistants. 119 00:04:36,360 --> 00:04:38,400 They're not general helpers. 120 00:04:38,400 --> 00:04:41,160 They're specialized AI workflows that you 121 00:04:41,160 --> 00:04:45,640 train to do very specific, complex tasks automatically, 122 00:04:45,640 --> 00:04:47,020 like a virtual accountant who only 123 00:04:47,020 --> 00:04:48,600 knows how to process invoices. 124 00:04:48,600 --> 00:04:49,120 I see. 125 00:04:49,120 --> 00:04:50,700 So you build these little specialists. 126 00:04:50,700 --> 00:04:51,320 You do. 127 00:04:51,320 --> 00:04:53,640 And LibreChat builds a whole environment for them. 128 00:04:53,640 --> 00:04:55,880 There is an agent marketplace for sharing and finding 129 00:04:55,880 --> 00:04:58,200 agents the community has built. You can even share them 130 00:04:58,200 --> 00:04:59,680 privately with just your team. 131 00:04:59,680 --> 00:05:02,280 And I see something here called the Model Context Protocol, 132 00:05:02,280 --> 00:05:03,120 or MCP. 133 00:05:03,120 --> 00:05:04,840 Yeah, that's basically just a system 134 00:05:04,840 --> 00:05:08,440 that makes sure the agent knows which tools it's allowed to use. 135 00:05:08,440 --> 00:05:10,200 Can it access the code interpreter? 136 00:05:10,200 --> 00:05:12,440 Can it see uploaded files? 137 00:05:12,440 --> 00:05:14,400 The MCP manages those permissions. 138 00:05:14,400 --> 00:05:16,200 Speaking of tools, let's talk about the one 139 00:05:16,200 --> 00:05:20,720 that always raises eyebrows, the Code Interpreter API. 140 00:05:20,720 --> 00:05:26,200 I mean, letting an AI write and run code on its own sounds risky. 141 00:05:26,200 --> 00:05:27,920 It does sound risky, I agree. 142 00:05:27,920 --> 00:05:31,560 But the key word the sources emphasize is sandboxed. 143 00:05:31,560 --> 00:05:32,240 Sandboxed. 144 00:05:32,240 --> 00:05:35,760 The code is executed in a totally isolated environment. 145 00:05:35,760 --> 00:05:37,600 It's walled off completely. 146 00:05:37,600 --> 00:05:41,640 It has zero access to your personal files, your network, anything. 147 00:05:41,640 --> 00:05:43,320 This is a critical security feature that 148 00:05:43,320 --> 00:05:47,200 lets the AI safely test its own code or analyze data 149 00:05:47,200 --> 00:05:49,000 without putting you at risk. 150 00:05:49,000 --> 00:05:51,640 And the range of languages it can handle in that sandbox 151 00:05:51,640 --> 00:05:52,560 is pretty impressive. 152 00:05:52,560 --> 00:05:53,480 It's not just Python. 153 00:05:53,480 --> 00:05:54,240 Not at all. 154 00:05:54,240 --> 00:06:01,240 The sources list Node.js, Go, C, and C+, plus Java, PHP, Rust, even Fortran. 155 00:06:01,240 --> 00:06:02,280 Fortran, wow. 156 00:06:02,280 --> 00:06:05,820 That covers every academic and enterprise setting imaginable. 157 00:06:05,820 --> 00:06:08,360 And the practical use for this is seamless file handling. 158 00:06:08,360 --> 00:06:11,480 You can upload a big spreadsheet, tell the AI to clean up the data 159 00:06:11,480 --> 00:06:12,320 and run some analysis. 160 00:06:12,320 --> 00:06:13,560 It does all the work in the sandbox. 161 00:06:13,560 --> 00:06:15,200 And then you just download the finished file. 162 00:06:15,200 --> 00:06:16,280 No other apps needed. 163 00:06:16,280 --> 00:06:18,880 And of course, no modern AI is complete without being 164 00:06:18,880 --> 00:06:19,800 able to search the web. 165 00:06:19,800 --> 00:06:22,720 Right, because no model is perfectly up to date. 166 00:06:22,720 --> 00:06:25,240 But again, it's not just a simple web search. 167 00:06:25,240 --> 00:06:28,520 LibreChat combines multiple search providers, 168 00:06:28,520 --> 00:06:31,260 uses scrapers to pull in the actual content, 169 00:06:31,260 --> 00:06:33,080 and then uses something called a re-ranker. 170 00:06:33,080 --> 00:06:34,000 A re-ranker. 171 00:06:34,000 --> 00:06:34,560 Yeah. 172 00:06:34,560 --> 00:06:36,120 You can even customize it. 173 00:06:36,120 --> 00:06:38,880 It's a tool that analyzes all the search results 174 00:06:38,880 --> 00:06:41,080 and figures out which ones are the absolute most 175 00:06:41,080 --> 00:06:43,240 relevant and high-quality. 176 00:06:43,240 --> 00:06:45,160 It's filtering the noise of the internet 177 00:06:45,160 --> 00:06:47,280 to give the AI only the best signal. 178 00:06:47,280 --> 00:06:49,320 OK, so we can connect to any model. 179 00:06:49,320 --> 00:06:50,640 We can give it tools. 180 00:06:50,640 --> 00:06:53,360 Now let's talk about actually managing the conversations. 181 00:06:53,360 --> 00:06:56,280 Because if you can switch between 20 different AI brains, 182 00:06:56,280 --> 00:06:58,360 things could get chaotic pretty fast. 183 00:06:58,360 --> 00:06:59,040 Absolutely. 184 00:06:59,040 --> 00:07:01,680 And this is where the user experience really matters. 185 00:07:01,680 --> 00:07:04,760 The biggest time saver is a feature called presets. 186 00:07:04,760 --> 00:07:08,280 You can create, save, and share custom configurations. 187 00:07:08,280 --> 00:07:10,520 So if you need a sarcastic developer mode that 188 00:07:10,520 --> 00:07:13,960 uses the fast grok model with a specific set of instructions, 189 00:07:13,960 --> 00:07:16,000 you set it up once, save it as a preset, 190 00:07:16,000 --> 00:07:17,800 and it's always one click away. 191 00:07:17,800 --> 00:07:19,520 And you can share that preset with your team. 192 00:07:19,520 --> 00:07:20,080 Exactly. 193 00:07:20,080 --> 00:07:22,600 So everyone is using the same prompt, the same settings. 194 00:07:22,600 --> 00:07:24,320 It's great for consistency. 195 00:07:24,320 --> 00:07:28,280 And this leads to what might be my favorite feature for just 196 00:07:28,280 --> 00:07:32,000 work slow control, min chat flexibility. 197 00:07:32,000 --> 00:07:33,040 This is a big one. 198 00:07:33,040 --> 00:07:34,240 You don't have to start a new chat just 199 00:07:34,240 --> 00:07:35,600 because your gas changes. 200 00:07:35,600 --> 00:07:37,360 You can be writing an email with Claude, 201 00:07:37,360 --> 00:07:39,400 then realize you need a bit of Python code. 202 00:07:39,400 --> 00:07:43,720 And you just switch the endpoint to a GPT model preset 203 00:07:43,720 --> 00:07:46,000 right there in the same chat, get your code, 204 00:07:46,000 --> 00:07:48,920 and then switch right back to Claude to finish the email. 205 00:07:48,920 --> 00:07:51,400 It all stays in one continuous conversation. 206 00:07:51,400 --> 00:07:52,200 It's brilliant. 207 00:07:52,200 --> 00:07:54,000 And for really complex projects, it 208 00:07:54,000 --> 00:07:57,040 gets even more powerful with a feature called forking. 209 00:07:57,040 --> 00:07:58,160 Forking. 210 00:07:58,160 --> 00:08:01,080 OK, explain why that's so important for control. 211 00:08:01,080 --> 00:08:02,760 Let's say you write a complex prompt 212 00:08:02,760 --> 00:08:04,120 and get a pretty good response. 213 00:08:04,120 --> 00:08:06,680 But you wonder, what if I'd asked that differently? 214 00:08:06,680 --> 00:08:08,500 Or what would a different model say? 215 00:08:08,500 --> 00:08:10,240 Right, you don't want to lose the good response you already 216 00:08:10,240 --> 00:08:10,740 have. 217 00:08:10,740 --> 00:08:11,600 Exactly. 218 00:08:11,600 --> 00:08:13,560 Forking lets you split the conversation 219 00:08:13,560 --> 00:08:15,000 at that exact point. 220 00:08:15,000 --> 00:08:18,160 You can create two, three, or more parallel threads 221 00:08:18,160 --> 00:08:21,440 to A-B test different prompts or models on the same context, 222 00:08:21,440 --> 00:08:24,000 all without messing up your main conversation. 223 00:08:24,000 --> 00:08:26,600 It makes experimenting totally lossless. 224 00:08:26,600 --> 00:08:27,360 That's huge. 225 00:08:27,360 --> 00:08:28,240 Yeah. 226 00:08:28,240 --> 00:08:31,080 Now, moving into the visual side of things, 227 00:08:31,080 --> 00:08:33,520 let's talk about generative UI and these things 228 00:08:33,520 --> 00:08:34,360 called artifacts. 229 00:08:34,360 --> 00:08:35,360 Yeah, this is cool. 230 00:08:35,360 --> 00:08:37,840 The AI isn't just generating plain text. 231 00:08:37,840 --> 00:08:40,280 It can generate usable components or artifacts. 232 00:08:40,280 --> 00:08:41,680 So it's like what, actual code? 233 00:08:41,680 --> 00:08:43,080 Actual code, yes. 234 00:08:43,080 --> 00:08:46,080 Radius, React components, HTML blocks, things like that. 235 00:08:46,080 --> 00:08:47,200 But also diagrams. 236 00:08:47,200 --> 00:08:49,560 It can generate mermaid diagrams right in the chat 237 00:08:49,560 --> 00:08:52,040 to visualize complex systems on the fly. 238 00:08:52,040 --> 00:08:55,360 That would speed up prototyping and documentation so much. 239 00:08:55,360 --> 00:08:56,520 Immensely. 240 00:08:56,520 --> 00:08:58,440 And of course, you have all the creative tools. 241 00:08:58,440 --> 00:09:00,840 Text to image, image to image, all integrated. 242 00:09:00,840 --> 00:09:04,200 It supports daily three and two, stable diffusion, flux, 243 00:09:04,200 --> 00:09:06,120 or any custom server you might be running. 244 00:09:06,120 --> 00:09:11,040 But the real test for a modern AI hub is multimodal power. 245 00:09:11,040 --> 00:09:12,480 Can it handle more than just text? 246 00:09:12,480 --> 00:09:13,280 It has to. 247 00:09:13,280 --> 00:09:15,600 And yes, you can upload and analyze images 248 00:09:15,600 --> 00:09:19,040 using powerful vision models like Claude 3, GPT-40, 249 00:09:19,040 --> 00:09:19,800 and Gemini. 250 00:09:19,800 --> 00:09:21,560 So I can upload a chart or a screenshot 251 00:09:21,560 --> 00:09:23,720 and just talk to the AI about it. 252 00:09:23,720 --> 00:09:24,240 Yep. 253 00:09:24,240 --> 00:09:26,200 It sees the image and can discuss it with you 254 00:09:26,200 --> 00:09:27,360 right in the chat history. 255 00:09:27,360 --> 00:09:28,600 It's incredibly useful. 256 00:09:28,600 --> 00:09:31,640 And for accessibility for global teams, this is crucial. 257 00:09:31,640 --> 00:09:33,440 It has hands-free capabilities. 258 00:09:33,440 --> 00:09:34,200 It does. 259 00:09:34,200 --> 00:09:37,800 It supports speech-to-text and text-to-speech using services 260 00:09:37,800 --> 00:09:41,040 from OpenAI, Azure, and 11 Labs. 261 00:09:41,040 --> 00:09:42,920 Plus, the whole user interface is 262 00:09:42,920 --> 00:09:45,800 multilingual, Deutsch, Espanol, Holi, 263 00:09:45,800 --> 00:09:49,720 which really speaks to its global community-driven roots. 264 00:09:49,720 --> 00:09:53,560 And that really brings us to the core identity of LibreChat, 265 00:09:53,560 --> 00:09:55,120 which is the open source advantage. 266 00:09:55,120 --> 00:09:57,120 That's the foundation of all of this. 267 00:09:57,120 --> 00:09:59,240 This isn't some proprietary black box 268 00:09:59,240 --> 00:10:01,640 where your data goes who knows where. 269 00:10:01,640 --> 00:10:03,840 It is completely open source, built 270 00:10:03,840 --> 00:10:07,200 in public with an MIT license, and it is fundamentally 271 00:10:07,200 --> 00:10:08,640 driven by its community. 272 00:10:08,640 --> 00:10:11,040 And for a lot of people, especially businesses, 273 00:10:11,040 --> 00:10:13,880 that transparency is the number one feature. 274 00:10:13,880 --> 00:10:16,000 The code is public, which means anyone 275 00:10:16,000 --> 00:10:17,600 can audit it for security. 276 00:10:17,600 --> 00:10:19,240 You know exactly what the software 277 00:10:19,240 --> 00:10:20,320 is doing with your data. 278 00:10:20,320 --> 00:10:22,640 Because it's open source, you get total deployment 279 00:10:22,640 --> 00:10:23,240 flexibility. 280 00:10:23,240 --> 00:10:24,760 You decide where this thing lives. 281 00:10:24,760 --> 00:10:25,440 Exactly. 282 00:10:25,440 --> 00:10:28,720 You can configure a proxy, use a simple Docker container, 283 00:10:28,720 --> 00:10:30,280 or deploy it on the cloud. 284 00:10:30,280 --> 00:10:32,720 For ultimate privacy, you can run it completely locally 285 00:10:32,720 --> 00:10:35,400 on your own network, disconnected from the internet, 286 00:10:35,400 --> 00:10:37,000 and pair it with local models. 287 00:10:37,000 --> 00:10:37,880 Total control. 288 00:10:37,880 --> 00:10:39,200 Total control. 289 00:10:39,200 --> 00:10:42,080 And the sources are clear that this isn't just a hobby project. 290 00:10:42,080 --> 00:10:44,160 It's trusted by companies worldwide. 291 00:10:44,160 --> 00:10:45,560 It's production ready. 292 00:10:45,560 --> 00:10:47,220 It has all the enterprise features 293 00:10:47,220 --> 00:10:50,200 you'd expect, like multi-user support and secure 294 00:10:50,200 --> 00:10:54,400 authentication email, OAuth 2, LDP, all of it. 295 00:10:54,400 --> 00:10:57,080 And if you're an administrator managing a big team, 296 00:10:57,080 --> 00:10:59,240 the built-in tools are essential. 297 00:10:59,240 --> 00:11:02,640 It has moderation features and, maybe most importantly, 298 00:11:02,640 --> 00:11:04,320 token spend tracking tools. 299 00:11:04,320 --> 00:11:07,000 That token tracking is a financial lifeline. 300 00:11:07,000 --> 00:11:09,560 Remember, you might be connected to 10 different vendors, 301 00:11:09,560 --> 00:11:11,520 each with a different pricing model. 302 00:11:11,520 --> 00:11:14,560 Trying to track those costs manually would be a nightmare. 303 00:11:14,560 --> 00:11:15,640 I can't even imagine. 304 00:11:15,640 --> 00:11:17,920 This feature pulls all that API usage 305 00:11:17,920 --> 00:11:19,840 into one single dashboard. 306 00:11:19,840 --> 00:11:21,840 It lets you see exactly what you're spending and where, 307 00:11:21,840 --> 00:11:24,760 so you can actually manage the budget for your entire AI 308 00:11:24,760 --> 00:11:25,560 orchestra. 309 00:11:25,560 --> 00:11:27,440 The momentum behind it is clear, too. 310 00:11:27,440 --> 00:11:30,920 The sources mention over 31,000 GitHub stars, 311 00:11:30,920 --> 00:11:32,440 tons of Docker polls. 312 00:11:32,440 --> 00:11:34,920 This is an active, evolving platform 313 00:11:34,920 --> 00:11:37,020 that a global community really depends on. 314 00:11:37,020 --> 00:11:38,400 Yeah, it's the real deal. 315 00:11:38,400 --> 00:11:41,400 So to wrap up our mission here, LibreChat 316 00:11:41,400 --> 00:11:43,480 is really this ultimate synthesis. 317 00:11:43,480 --> 00:11:45,840 It gives you that familiar, easy-to-use chatbot 318 00:11:45,840 --> 00:11:46,920 interface you already know. 319 00:11:46,920 --> 00:11:47,920 Right, the comfort. 320 00:11:47,920 --> 00:11:51,600 But it grants you absolute power and customization underneath. 321 00:11:51,600 --> 00:11:54,960 It lets you pick the perfect AI tool, the right model, 322 00:11:54,960 --> 00:11:57,680 the right agent, the right interpreter for the right job, 323 00:11:57,680 --> 00:11:59,200 all in one place. 324 00:11:59,200 --> 00:12:00,660 It really does change your role. 325 00:12:00,660 --> 00:12:04,000 You stop being just a user of one big AI brain, 326 00:12:04,000 --> 00:12:05,840 and you become the conductor, choosing 327 00:12:05,840 --> 00:12:07,640 the exact specialized intelligence you 328 00:12:07,640 --> 00:12:09,320 need for every single task. 329 00:12:09,320 --> 00:12:12,360 And that actually raises a pretty interesting challenge 330 00:12:12,360 --> 00:12:13,160 for all of us. 331 00:12:13,160 --> 00:12:13,880 Go on. 332 00:12:13,880 --> 00:12:17,320 Well, if you suddenly have this entire spectrum of AI tools 333 00:12:17,320 --> 00:12:19,840 at your fingertips, from the fast, cheap model 334 00:12:19,840 --> 00:12:22,880 to the slow, precise code expert, 335 00:12:22,880 --> 00:12:25,160 does that sheer volume of choice force 336 00:12:25,160 --> 00:12:28,040 us all to become much better, much more precise prompt 337 00:12:28,040 --> 00:12:28,960 engineers? 338 00:12:28,960 --> 00:12:30,760 Because now we know we can and should 339 00:12:30,760 --> 00:12:32,680 deploy the exact right tool for the job. 340 00:12:32,680 --> 00:12:34,000 That's a fantastic point. 341 00:12:34,000 --> 00:12:35,560 More power requires more strategy. 342 00:12:35,560 --> 00:12:37,800 It's definitely something to think about as you explore 343 00:12:37,800 --> 00:12:39,240 this source material further. 344 00:12:39,240 --> 00:12:41,720 We want to thank Safe Server one more time for supporting 345 00:12:41,720 --> 00:12:44,420 this deep dive into the world of AI customization 346 00:12:44,420 --> 00:12:45,720 and flexible hosting. 347 00:12:45,720 --> 00:12:47,520 You can start your own digital transformation 348 00:12:47,520 --> 00:12:51,340 and find more resources at www.safeserver.de.