added a Sessions blog - PENDING APPROVAL until vector DB is done #2228
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LinaLam
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Jul 2, 2024
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LinaLam
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PR Summary
This pull request adds a new blog post about debugging chatbots and AI agents with sessions, including new files for layout, page content, and the blog post itself in MDX format.
- Added new blog post "Debugging RAG Chatbots and AI Agents with Sessions" in
/bifrost/app/blog/debugging-chatbots-and-ai-agents-with-sessions/ - Updated
/bifrost/app/blog/page.tsxto include the new blog post in the content list layout.tsxin the new blog post directory doesn't utilize imported components (NavBar, Footer, Analytics)- Consider improving error handling in
page.tsxfor file reading and MDX compilation - Ensure consistency in metadata across new files and existing blog structure
4 file(s) reviewed, 9 comment(s)
Edit PR Review Bot Settings
| import NavBar from "@/components/layout/navbar"; | ||
| import Footer from "@/components/layout/footer"; | ||
| import "@mintlify/mdx/dist/styles.css"; | ||
| import { Analytics } from "@vercel/analytics/react"; |
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logic: NavBar, Footer, and Analytics components are imported but not used in the layout
| import "@mintlify/mdx/dist/styles.css"; | ||
| import { Analytics } from "@vercel/analytics/react"; | ||
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| const inter = Inter({ subsets: ["latin"] }); |
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style: Inter font is defined but not applied to the layout
| return ( | ||
| <> | ||
| {children} | ||
| </> | ||
| ); |
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style: Consider wrapping children in a main tag for better semantic structure
| "src.mdx" | ||
| ); | ||
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| const source = fs.readFileSync(filePath, "utf8"); |
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logic: Add error handling for file read operation
| <span className="text-sm font-bold">back</span> | ||
| </Link> | ||
| <h3 className="text-sm font-semibold text-gray-500 pt-8"> | ||
| <span className="text-black">Time</span>: {String(frontmatter.time)} |
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style: Use a more semantic HTML element for time, like
| <Link href="/blog" className="flex items-center gap-1"> | ||
| <ChevronLeftIcon className="w-4 h-4" /> | ||
| <span className="text-sm font-bold">back</span> | ||
| </Link> |
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style: Add aria-label to improve accessibility of back link
| const filePath = path.join( | ||
| process.cwd(), | ||
| "app", | ||
| "blog", | ||
| "debugging-chatbots-and-ai-agents-with-sessions", | ||
| "src.mdx" | ||
| ); |
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style: Consider using a constant for the blog post directory path
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| **For example,** if users often ask about specific types of workouts (i.e., strength training vs. cardio), developers can prompt the chatbot to offer more personalized plans and advice, thereby improving user satisfaction. | ||
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| 1. **Improving response accuracy** |
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syntax: This numbered item should be '3.' instead of '1.' to maintain the correct sequence.
bifrost/app/blog/page.tsx
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| imageAlt: "Lina Lam's headshot", | ||
| }, | ||
| ], | ||
| time: "5 minute read", |
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style: Consider making the reading time more specific, e.g., '5-minute read' instead of '5 minute read' for consistency with other entries.
| 3. **Implementing the task**: With the acquired data, AI agents methodically implement the tasks, they evaluate their progress and adjust as needed based on feedback and internal logs. | ||
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| By analyzing this data, AI agents predict the optimal outcomes aligned with the preset goals and determine what actions to take next. For example, self-driving cars use sensor data to navigate obstacles effectively. This iterative process continues until the agent achieves the designated goal. |
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Lets replace self driving cars with a more relatable AI agent example. We're specifically talking about them in the realm of LLMs
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| ## What are AI agents? | ||
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| An AI agent is a software program that **<span style={{color: '#0ea5e9'}}>autonomously performs specific tasks using advanced decision-making abilities</span>**. It interacts with its environment by collecting data, processing it, and deciding on the best actions to achieve predefined goals. |
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This is more focused to AI agents in general. We should be talking about AI agents powered by LLMs
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| - refine your chatbot's responses based on specific contexts. | ||
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| ## Using Sessions in Helicone |
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Honestly not sure how to improve this, but switching right into integration seems a bit jarring. The reader might be confused at the code tbh.
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| ## How Industries Use Sessions to Debug AI Agents | ||
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| ### Resolving Errors in Multi-Step Processes |
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Adding images of these sessions within Helicone would be awesome.
potentially they could be made in figma vs coding them
