Add newline to publish.sh

Library is now published at https://www.npmjs.com/package/openpipe; see README for details.

.github/ISSUE_TEMPLATE/sweep-fast-template.yml

@@ -1,14 +0,0 @@
-name: Sweep Fast Issue
-title: 'Sweep (fast): '
-description: For few-line fixes to be handled by Sweep, an AI-powered junior developer. Sweep will use GPT-3.5 to quickly create a PR for very small changes.
-labels: sweep
-body:
-  - type: textarea
-    id: description
-    attributes:
-      label: Details
-      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
-      placeholder: |
-        Bugs: The bug might be in ... file. Here are the logs: ...
-        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
-        Refactors: We are migrating this function to ... version because ...

.github/ISSUE_TEMPLATE/sweep-slow-template.yml

@@ -1,14 +0,0 @@
-name: Sweep Slow Issue
-title: 'Sweep (slow): '
-description: For larger bugs, features, refactors, and tests to be handled by Sweep, an AI-powered junior developer. Sweep will perform a deeper search and more self-reviews but will take longer.
-labels: sweep
-body:
-  - type: textarea
-    id: description
-    attributes:
-      label: Details
-      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
-      placeholder: |
-        Bugs: The bug might be in ... file. Here are the logs: ...
-        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
-        Refactors: We are migrating this function to ... version because ...

.github/ISSUE_TEMPLATE/sweep-template.yml

@@ -1,14 +0,0 @@
-name: Sweep Issue
-title: 'Sweep: '
-description: For small bugs, features, refactors, and tests to be handled by Sweep, an AI-powered junior developer.
-labels: sweep
-body:
-  - type: textarea
-    id: description
-    attributes:
-      label: Details
-      description: Tell Sweep where and what to edit and provide enough context for a new developer to the codebase
-      placeholder: |
-        Bugs: The bug might be in ... file. Here are the logs: ...
-        Features: the new endpoint should use the ... class from ... file because it contains ... logic.
-        Refactors: We are migrating this function to ... version because ...

README.md

@@ -16,7 +16,6 @@
   <a href='http://makeapullrequest.com'><img alt='PRs Welcome' src='https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square'/></a>
   <a href="https://github.com/openpipe/openpipe/graphs/commit-activity"><img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/openpipe/openpipe?style=flat-square"/></a>
   <a href="https://github.com/openpipe/openpipe/issues"><img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/openpipe/openpipe?style=flat-square"/></a>
- <img src="https://img.shields.io/badge/Y%20Combinator-S23-orange?style=flat-square" alt="Y Combinator S23">
 </p>
 
 <p align="center">
@@ -28,7 +27,7 @@ Use powerful but expensive LLMs to fine-tune smaller and cheaper models suited t
 <br>
 
 
-## Features
+## 🪛 Features
 
  * <b>Experiment</b>
    * Bulk-test wide-reaching scenarios using code templating.

app/src/components/ExperimentSettingsDrawer/DeleteButton.tsx

@@ -1,41 +1,74 @@
-import { Button, Icon, useDisclosure, Text } from "@chakra-ui/react";
-import { useRouter } from "next/router";
-import { BsTrash } from "react-icons/bs";
+import {
+  Button,
+  Icon,
+  AlertDialog,
+  AlertDialogBody,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogContent,
+  AlertDialogOverlay,
+  useDisclosure,
+  Text,
+} from "@chakra-ui/react";
 
+import { useRouter } from "next/router";
+import { useRef } from "react";
+import { BsTrash } from "react-icons/bs";
 import { useAppStore } from "~/state/store";
+import { api } from "~/utils/api";
 import { useExperiment, useHandledAsyncCallback } from "~/utils/hooks";
-import DeleteExperimentDialog from "../experiments/DeleteExperimentDialog";
 
 export const DeleteButton = () => {
   const experiment = useExperiment();
+  const mutation = api.experiments.delete.useMutation();
+  const utils = api.useContext();
   const router = useRouter();
 
-  const disclosure = useDisclosure();
-
   const closeDrawer = useAppStore((s) => s.closeDrawer);
-  const [onDelete] = useHandledAsyncCallback(async () => {
+
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
+    if (!experiment.data?.id) return;
+    await mutation.mutateAsync({ id: experiment.data.id });
+    await utils.experiments.list.invalidate();
     await router.push({ pathname: "/experiments" });
     closeDrawer();
-  }, [router, closeDrawer]);
+
+    onClose();
+  }, [mutation, experiment.data?.id, router]);
 
   return (
     <>
-      <Button
-        size="sm"
-        variant="ghost"
-        colorScheme="red"
-        fontWeight="normal"
-        onClick={disclosure.onOpen}
-      >
+      <Button size="sm" variant="ghost" colorScheme="red" fontWeight="normal" onClick={onOpen}>
         <Icon as={BsTrash} boxSize={4} />
         <Text ml={2}>Delete Experiment</Text>
       </Button>
 
-      <DeleteExperimentDialog
-        experimentId={experiment.data?.id}
-        onDelete={onDelete}
-        disclosure={disclosure}
-      />
+      <AlertDialog isOpen={isOpen} leastDestructiveRef={cancelRef} onClose={onClose}>
+        <AlertDialogOverlay>
+          <AlertDialogContent>
+            <AlertDialogHeader fontSize="lg" fontWeight="bold">
+              Delete Experiment
+            </AlertDialogHeader>
+
+            <AlertDialogBody>
+              If you delete this experiment all the associated prompts and scenarios will be deleted
+              as well. Are you sure?
+            </AlertDialogBody>
+
+            <AlertDialogFooter>
+              <Button ref={cancelRef} onClick={onClose}>
+                Cancel
+              </Button>
+              <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
+                Delete
+              </Button>
+            </AlertDialogFooter>
+          </AlertDialogContent>
+        </AlertDialogOverlay>
+      </AlertDialog>
     </>
   );
 };

app/src/components/StatsCard.tsx

@@ -0,0 +1,26 @@
+import { VStack, HStack, type StackProps, Text, Divider } from "@chakra-ui/react";
+import Link, { type LinkProps } from "next/link";
+
+const StatsCard = ({
+  title,
+  href,
+  children,
+  ...rest
+}: { title: string; href: string } & StackProps & LinkProps) => {
+  return (
+    <VStack flex={1} borderWidth={1} padding={4} borderRadius={4} borderColor="gray.300" {...rest}>
+      <HStack w="full" justifyContent="space-between">
+        <Text fontSize="md" fontWeight="bold">
+          {title}
+        </Text>
+        <Link href={href}>
+          <Text color="blue">View all</Text>
+        </Link>
+      </HStack>
+      <Divider />
+      {children}
+    </VStack>
+  );
+};
+
+export default StatsCard;

app/src/components/dashboard/LoggedCallsTable.tsx

@@ -2,12 +2,11 @@ import { Card, CardHeader, Heading, Table, Tbody, HStack, Button, Text } from "@
 import { useState } from "react";
 import Link from "next/link";
 import { useLoggedCalls } from "~/utils/hooks";
-import { EmptyTableRow, TableHeader, TableRow } from "../requestLogs/TableRow";
+import { TableHeader, TableRow } from "../requestLogs/TableRow";
 
 export default function LoggedCallsTable() {
-  const { data: loggedCalls } = useLoggedCalls(false);
-
   const [expandedRow, setExpandedRow] = useState<string | null>(null);
+  const { data: loggedCalls } = useLoggedCalls();
 
   return (
     <Card width="100%" overflow="hidden">
@@ -24,26 +23,22 @@ export default function LoggedCallsTable() {
       <Table>
         <TableHeader />
         <Tbody>
-          {loggedCalls?.calls.length ? (
-            loggedCalls?.calls.map((loggedCall) => {
-              return (
-                <TableRow
-                  key={loggedCall.id}
-                  loggedCall={loggedCall}
-                  isExpanded={loggedCall.id === expandedRow}
-                  onToggle={() => {
-                    if (loggedCall.id === expandedRow) {
-                      setExpandedRow(null);
-                    } else {
-                      setExpandedRow(loggedCall.id);
-                    }
-                  }}
-                />
-              );
-            })
-          ) : (
-            <EmptyTableRow filtersApplied={false} />
-          )}
+          {loggedCalls?.calls.map((loggedCall) => {
+            return (
+              <TableRow
+                key={loggedCall.id}
+                loggedCall={loggedCall}
+                isExpanded={loggedCall.id === expandedRow}
+                onToggle={() => {
+                  if (loggedCall.id === expandedRow) {
+                    setExpandedRow(null);
+                  } else {
+                    setExpandedRow(loggedCall.id);
+                  }
+                }}
+              />
+            );
+          })}
         </Tbody>
       </Table>
     </Card>

app/src/components/experiments/DeleteExperimentDialog.tsx

@@ -1,66 +0,0 @@
-import { useRef } from "react";
-import {
-  type UseDisclosureReturn,
-  AlertDialog,
-  AlertDialogOverlay,
-  AlertDialogContent,
-  AlertDialogHeader,
-  AlertDialogBody,
-  AlertDialogFooter,
-  Button,
-} from "@chakra-ui/react";
-import { api } from "~/utils/api";
-
-import { useHandledAsyncCallback } from "~/utils/hooks";
-
-const DeleteExperimentDialog = ({
-  experimentId,
-  onDelete,
-  disclosure,
-}: {
-  experimentId?: string;
-  onDelete?: () => void;
-  disclosure: UseDisclosureReturn;
-}) => {
-  const cancelRef = useRef<HTMLButtonElement>(null);
-
-  const mutation = api.experiments.delete.useMutation();
-  const utils = api.useContext();
-
-  const [onDeleteConfirm] = useHandledAsyncCallback(async () => {
-    if (!experimentId) return;
-    await mutation.mutateAsync({ id: experimentId });
-    await utils.experiments.list.invalidate();
-    onDelete?.();
-
-    disclosure.onClose();
-  }, [mutation, experimentId, disclosure.onClose]);
-
-  return (
-    <AlertDialog leastDestructiveRef={cancelRef} {...disclosure}>
-      <AlertDialogOverlay>
-        <AlertDialogContent>
-          <AlertDialogHeader fontSize="lg" fontWeight="bold">
-            Delete Experiment
-          </AlertDialogHeader>
-
-          <AlertDialogBody>
-            If you delete this experiment all the associated prompts and scenarios will be deleted
-            as well. Are you sure?
-          </AlertDialogBody>
-
-          <AlertDialogFooter>
-            <Button ref={cancelRef} onClick={disclosure.onClose}>
-              Cancel
-            </Button>
-            <Button colorScheme="red" onClick={onDeleteConfirm} ml={3}>
-              Delete
-            </Button>
-          </AlertDialogFooter>
-        </AlertDialogContent>
-      </AlertDialogOverlay>
-    </AlertDialog>
-  );
-};
-
-export default DeleteExperimentDialog;

app/src/components/experiments/ExperimentCard.tsx

@@ -1,4 +1,3 @@
-import { type MouseEvent, useState } from "react";
 import {
   HStack,
   Icon,
@@ -9,29 +8,17 @@ import {
   AspectRatio,
   SkeletonText,
   Card,
-  useDisclosure,
-  Box,
-  Menu,
-  MenuButton,
-  MenuList,
-  MenuItem,
-  IconButton,
-  useToast,
 } from "@chakra-ui/react";
 import { RiFlaskLine } from "react-icons/ri";
+import { formatTimePast } from "~/utils/dayjs";
 import Link from "next/link";
 import { useRouter } from "next/router";
-import { BsPlusSquare, BsThreeDotsVertical, BsLink45Deg, BsTrash } from "react-icons/bs";
-
-import { formatTimePast } from "~/utils/dayjs";
-import { type RouterOutputs, api } from "~/utils/api";
+import { BsPlusSquare } from "react-icons/bs";
+import { RouterOutputs, api } from "~/utils/api";
 import { useHandledAsyncCallback } from "~/utils/hooks";
 import { useAppStore } from "~/state/store";
-import DeleteExperimentDialog from "./DeleteExperimentDialog";
 
 export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["list"][0] }) => {
-  const [isMenuHovered, setIsMenuHovered] = useState(false);
-
   return (
     <Card
       w="full"
@@ -40,7 +27,7 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
       p={4}
       bg="white"
       borderRadius={4}
-      _hover={{ bg: isMenuHovered ? undefined : "gray.100" }}
+      _hover={{ bg: "gray.100" }}
       transition="background 0.2s"
       aspectRatio={1.2}
     >
@@ -51,17 +38,9 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
         href={{ pathname: "/experiments/[experimentSlug]", query: { experimentSlug: exp.slug } }}
         justify="space-between"
       >
-        <HStack w="full" justify="space-between" spacing={0}>
-          <Box w={6} />
-          <HStack color="gray.700" justify="center">
-            <Icon as={RiFlaskLine} boxSize={4} />
-            <Text fontWeight="bold">{exp.label}</Text>
-          </HStack>
-          <CardMenu
-            experimentId={exp.id}
-            experimentSlug={exp.slug}
-            setIsMenuHovered={setIsMenuHovered}
-          />
+        <HStack w="full" color="gray.700" justify="center">
+          <Icon as={RiFlaskLine} boxSize={4} />
+          <Text fontWeight="bold">{exp.label}</Text>
         </HStack>
         <HStack h="full" spacing={4} flex={1} align="center">
           <CountLabel label="Variants" count={exp.promptVariantCount} />
@@ -78,75 +57,6 @@ export const ExperimentCard = ({ exp }: { exp: RouterOutputs["experiments"]["lis
   );
 };
 
-const CardMenu = ({
-  experimentId,
-  experimentSlug,
-  setIsMenuHovered,
-}: {
-  experimentId: string;
-  experimentSlug: string;
-  setIsMenuHovered: (isHovered: boolean) => void;
-}) => {
-  const deleteDisclosure = useDisclosure();
-  const menuDisclosure = useDisclosure();
-  const toast = useToast();
-  const [copyShareLink] = useHandledAsyncCallback(
-    async (e: MouseEvent<HTMLButtonElement>) => {
-      if (typeof window === "undefined") return;
-      e.preventDefault();
-      e.stopPropagation();
-      const shareLink = `${window.location.origin}/experiments/${experimentSlug}`;
-      await navigator.clipboard.writeText(shareLink);
-      toast({
-        title: "Share link copied to clipboard",
-        status: "success",
-        duration: 2000,
-        isClosable: true,
-      });
-      menuDisclosure.onClose();
-    },
-    [toast, menuDisclosure.onClose, experimentSlug],
-  );
-  return (
-    <>
-      <Menu isLazy {...menuDisclosure}>
-        <MenuButton
-          as={IconButton}
-          aria-label="Options"
-          icon={<BsThreeDotsVertical />}
-          variant="ghost"
-          onClick={(e) => {
-            e.preventDefault();
-            e.stopPropagation();
-            menuDisclosure.onOpen();
-          }}
-          onMouseEnter={() => setIsMenuHovered(true)}
-          onMouseLeave={() => setIsMenuHovered(false)}
-          boxSize={6}
-          minW={0}
-        />
-        <MenuList>
-          <MenuItem icon={<Icon as={BsLink45Deg} boxSize={5} />} onClick={copyShareLink}>
-            Copy Link
-          </MenuItem>
-          <MenuItem
-            icon={<Icon as={BsTrash} boxSize={5} />}
-            onClick={(e) => {
-              e.preventDefault();
-              e.stopPropagation();
-              deleteDisclosure.onOpen();
-            }}
-            color="red.500"
-          >
-            Delete
-          </MenuItem>
-        </MenuList>
-      </Menu>
-      <DeleteExperimentDialog experimentId={experimentId} disclosure={deleteDisclosure} />
-    </>
-  );
-};
-
 const CountLabel = ({ label, count }: { label: string; count: number }) => {
   return (
     <VStack alignItems="center" flex={1}>

app/src/components/nav/AppShell.tsx

@@ -13,18 +13,15 @@ import {
 } from "@chakra-ui/react";
 import Head from "next/head";
 import Link from "next/link";
-import { useRouter } from "next/router";
 import { BsGearFill, BsGithub, BsPersonCircle } from "react-icons/bs";
 import { IoStatsChartOutline } from "react-icons/io5";
 import { RiHome3Line, RiFlaskLine } from "react-icons/ri";
 import { AiOutlineThunderbolt } from "react-icons/ai";
-import { FaReadme } from "react-icons/fa";
 import { signIn, useSession } from "next-auth/react";
-
 import ProjectMenu from "./ProjectMenu";
 import NavSidebarOption from "./NavSidebarOption";
 import IconLink from "./IconLink";
-import { BetaModal } from "../BetaModal";
+import { BetaModal } from "./BetaModal";
 import { useAppStore } from "~/state/store";
 
 const Divider = () => <Box h="1px" bgColor="gray.300" w="full" />;
@@ -76,8 +73,8 @@ const NavSidebar = () => {
             <ProjectMenu />
             <Divider />
 
-            <IconLink icon={RiHome3Line} label="Dashboard" href="/dashboard" />
-            <IconLink icon={IoStatsChartOutline} label="Request Logs" href="/request-logs" />
+            <IconLink icon={RiHome3Line} label="Dashboard" href="/dashboard" beta />
+            <IconLink icon={IoStatsChartOutline} label="Request Logs" href="/request-logs" beta />
             <IconLink icon={AiOutlineThunderbolt} label="Fine Tunes" href="/fine-tunes" beta />
             <IconLink icon={RiFlaskLine} label="Experiments" href="/experiments" />
             <VStack w="full" alignItems="flex-start" spacing={0} pt={8}>
@@ -114,22 +111,7 @@ const NavSidebar = () => {
           </NavSidebarOption>
         )}
       </VStack>
-      <HStack
-        w="full"
-        px={{ base: 2, md: 4 }}
-        py={{ base: 1, md: 2 }}
-        as={ChakraLink}
-        justifyContent="start"
-        href="https://docs.openpipe.ai"
-        target="_blank"
-        color="gray.500"
-        spacing={1}
-      >
-        <Icon as={FaReadme} boxSize={4} mr={2} />
-        <Text fontWeight="bold" fontSize="sm">
-          Read the Docs
-        </Text>
-      </HStack>
+
       <Divider />
       <VStack spacing={0} align="center">
         <ChakraLink
@@ -158,7 +140,6 @@ export default function AppShell({
   requireBeta?: boolean;
 }) {
   const [vh, setVh] = useState("100vh"); // Default height to prevent flicker on initial render
-  const router = useRouter();
 
   useEffect(() => {
     const setHeight = () => {
@@ -200,7 +181,7 @@ export default function AppShell({
           {children}
         </Box>
       </Flex>
-      <BetaModal isOpen={!!requireBeta && flagsLoaded && !flags.betaAccess} onClose={router.back} />
+      {requireBeta && flagsLoaded && !flags.betaAccess && <BetaModal />}
     </>
   );
 }

app/src/components/nav/BetaModal.tsx

@@ -13,17 +13,19 @@ import {
   Link,
 } from "@chakra-ui/react";
 import { BsStars } from "react-icons/bs";
+import { useRouter } from "next/router";
 import { useSession } from "next-auth/react";
 
-export const BetaModal = ({ isOpen, onClose }: { isOpen: boolean; onClose: () => void }) => {
+export const BetaModal = () => {
+  const router = useRouter();
   const session = useSession();
 
   const email = session.data?.user.email ?? "";
 
   return (
     <Modal
-      isOpen={isOpen}
-      onClose={onClose}
+      isOpen
+      onClose={router.back}
       closeOnOverlayClick={false}
       size={{ base: "xl", md: "2xl" }}
     >
@@ -54,7 +56,7 @@ export const BetaModal = ({ isOpen, onClose }: { isOpen: boolean; onClose: () =>
             >
               Join Waitlist
             </Button>
-            <Button colorScheme="blue" onClick={onClose}>
+            <Button colorScheme="blue" onClick={router.back}>
               Done
             </Button>
           </HStack>

app/src/components/nav/ProjectMenu.tsx

@@ -57,7 +57,6 @@ export default function ProjectMenu() {
     await utils.projects.list.invalidate();
     setSelectedProjectId(newProj.id);
     await router.push({ pathname: "/project/settings" });
-    popover.onClose();
   }, [createMutation, router]);
 
   const user = useSession().data;

app/src/components/requestLogs/ActionButton.tsx

@@ -1,50 +1,29 @@
-import { useState } from "react";
-
 import { Button, HStack, type ButtonProps, Icon, Text } from "@chakra-ui/react";
 import { type IconType } from "react-icons";
-import { useAppStore } from "~/state/store";
-import { BetaModal } from "../BetaModal";
 
 const ActionButton = ({
   icon,
   label,
-  requireBeta = false,
-  onClick,
   ...buttonProps
-}: {
-  icon: IconType;
-  label: string;
-  requireBeta?: boolean;
-  onClick?: () => void;
-} & ButtonProps) => {
-  const flags = useAppStore((s) => s.featureFlags.featureFlags);
-  const flagsLoaded = useAppStore((s) => s.featureFlags.flagsLoaded);
-
-  const [betaModalOpen, setBetaModalOpen] = useState(false);
-
-  const isBetaBlocked = requireBeta && flagsLoaded && !flags.betaAccess;
+}: { icon: IconType; label: string } & ButtonProps) => {
   return (
-    <>
-      <Button
-        colorScheme="blue"
-        color="black"
-        bgColor="white"
-        borderColor="gray.300"
-        borderRadius={4}
-        variant="outline"
-        size="sm"
-        fontSize="sm"
-        fontWeight="normal"
-        onClick={isBetaBlocked ? () => setBetaModalOpen(true) : onClick}
-        {...buttonProps}
-      >
-        <HStack spacing={1}>
-          {icon && <Icon as={icon} color={requireBeta ? "orange.400" : undefined} />}
-          <Text display={{ base: "none", md: "flex" }}>{label}</Text>
-        </HStack>
-      </Button>
-      <BetaModal isOpen={betaModalOpen} onClose={() => setBetaModalOpen(false)} />
-    </>
+    <Button
+      colorScheme="blue"
+      color="black"
+      bgColor="white"
+      borderColor="gray.300"
+      borderRadius={4}
+      variant="outline"
+      size="sm"
+      fontSize="sm"
+      fontWeight="normal"
+      {...buttonProps}
+    >
+      <HStack spacing={1}>
+        {icon && <Icon as={icon} />}
+        <Text display={{ base: "none", md: "flex" }}>{label}</Text>
+      </HStack>
+    </Button>
   );
 };
 

app/src/components/requestLogs/ExportButton.tsx

@@ -47,7 +47,6 @@ const ExportButton = () => {
         label="Export"
         icon={BiExport}
         isDisabled={selectedLogIds.size === 0}
-        requireBeta
       />
       <ExportLogsModal disclosure={disclosure} />
     </>

app/src/components/requestLogs/FineTuneButton.tsx

@@ -41,7 +41,6 @@ const FineTuneButton = () => {
         label="Fine Tune"
         icon={AiTwotoneThunderbolt}
         isDisabled={selectedLogIds.size === 0}
-        requireBeta
       />
       <FineTuneModal disclosure={disclosure} />
     </>

app/src/components/requestLogs/LoggedCallsTable.tsx

@@ -1,7 +1,7 @@
 import { Card, Table, Tbody } from "@chakra-ui/react";
 import { useState } from "react";
 import { useLoggedCalls } from "~/utils/hooks";
-import { TableHeader, TableRow, EmptyTableRow } from "./TableRow";
+import { TableHeader, TableRow } from "./TableRow";
 
 export default function LoggedCallsTable() {
   const [expandedRow, setExpandedRow] = useState<string | null>(null);
@@ -12,27 +12,23 @@ export default function LoggedCallsTable() {
       <Table>
         <TableHeader showOptions />
         <Tbody>
-          {loggedCalls?.calls.length ? (
-            loggedCalls?.calls?.map((loggedCall) => {
-              return (
-                <TableRow
-                  key={loggedCall.id}
-                  loggedCall={loggedCall}
-                  isExpanded={loggedCall.id === expandedRow}
-                  onToggle={() => {
-                    if (loggedCall.id === expandedRow) {
-                      setExpandedRow(null);
-                    } else {
-                      setExpandedRow(loggedCall.id);
-                    }
-                  }}
-                  showOptions
-                />
-              );
-            })
-          ) : (
-            <EmptyTableRow />
-          )}
+          {loggedCalls?.calls?.map((loggedCall) => {
+            return (
+              <TableRow
+                key={loggedCall.id}
+                loggedCall={loggedCall}
+                isExpanded={loggedCall.id === expandedRow}
+                onToggle={() => {
+                  if (loggedCall.id === expandedRow) {
+                    setExpandedRow(null);
+                  } else {
+                    setExpandedRow(loggedCall.id);
+                  }
+                }}
+                showOptions
+              />
+            );
+          })}
         </Tbody>
       </Table>
     </Card>

app/src/components/requestLogs/TableRow.tsx

@@ -13,7 +13,6 @@ import {
   ButtonGroup,
   Text,
   Checkbox,
-  Link as ChakraLink,
 } from "@chakra-ui/react";
 import Link from "next/link";
 
@@ -199,41 +198,3 @@ export const TableRow = ({
     </>
   );
 };
-
-export const EmptyTableRow = ({ filtersApplied = true }: { filtersApplied?: boolean }) => {
-  const visibleColumns = useAppStore((s) => s.columnVisibility.visibleColumns);
-  const filters = useAppStore((state) => state.logFilters.filters);
-  const { isLoading } = useLoggedCalls();
-
-  if (isLoading) return null;
-
-  if (filters.length && filtersApplied) {
-    return (
-      <Tr>
-        <Td w="full" colSpan={visibleColumns.size + 1}>
-          <Text color="gray.500" textAlign="center" w="full" p={4}>
-            No matching request logs found. Try removing some filters.
-          </Text>
-        </Td>
-      </Tr>
-    );
-  }
-
-  return (
-    <Tr>
-      <Td w="full" colSpan={visibleColumns.size + 1}>
-        <Text color="gray.500" textAlign="center" w="full" p={4}>
-          This project has no request logs. Learn how to add request logs to your project in our{" "}
-          <ChakraLink
-            href="https://docs.openpipe.ai/getting-started/quick-start"
-            target="_blank"
-            color="blue.600"
-          >
-            Quick Start
-          </ChakraLink>{" "}
-          guide.
-        </Text>
-      </Td>
-    </Tr>
-  );
-};

app/src/modelProviders/replicate-llama2/getCompletion.ts

@@ -8,8 +8,8 @@ const replicate = new Replicate({
 });
 
 const modelIds: Record<ReplicateLlama2Input["model"], string> = {
-  "7b-chat": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381",
-  "13b-chat": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3",
+  "7b-chat": "7b0bfc9aff140d5b75bacbed23e91fd3c34b01a1e958d32132de6e0a19796e2c",
+  "13b-chat": "2a7f981751ec7fdf87b5b91ad4db53683a98082e9ff7bfd12c8cd5ea85980a52",
   "70b-chat": "2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1",
 };
 

app/src/pages/dashboard/index.tsx

@@ -33,7 +33,7 @@ export default function Dashboard() {
   );
 
   return (
-    <AppShell title="Dashboard" requireAuth>
+    <AppShell title="Dashboard" requireAuth requireBeta>
       <VStack px={8} py={8} alignItems="flex-start" spacing={4}>
         <Text fontSize="2xl" fontWeight="bold">
           Dashboard

app/src/pages/request-logs/index.tsx

@@ -19,7 +19,7 @@ export default function LoggedCalls() {
   const [filtersShown, setFiltersShown] = useState(true);
 
   return (
-    <AppShell title="Request Logs" requireAuth>
+    <AppShell title="Request Logs" requireAuth requireBeta>
       <Box h="100vh" overflowY="scroll">
         <VStack px={8} py={8} alignItems="flex-start" spacing={4} w="full">
           <Text fontSize="2xl" fontWeight="bold">
@@ -35,7 +35,6 @@ export default function LoggedCalls() {
               label="Experiment"
               icon={RiFlaskLine}
               isDisabled={selectedLogIds.size === 0}
-              requireBeta
             />
             <ExportButton />
             <ColumnVisiblityDropdown />

app/src/server/api/routers/promptVariants.router.ts

@@ -196,10 +196,7 @@ export const promptVariantsRouter = createTRPCRouter({
           ? `${originalVariant?.label} Copy`
           : `Prompt Variant ${largestSortIndex + 2}`;
 
-      const newConstructFn = await deriveNewConstructFn(
-        originalVariant,
-        originalVariant?.promptConstructor,
-      );
+      const newConstructFn = await deriveNewConstructFn(originalVariant);
 
       const createNewVariantAction = prisma.promptVariant.create({
         data: {

app/src/server/utils/deriveNewContructFn.ts

@@ -28,15 +28,15 @@ export async function deriveNewConstructFn(
     );
   }
   return dedent`
-  definePrompt("openai/ChatCompletion", {
-    model: "gpt-3.5-turbo-0613",
-    messages: [
-      {
-        role: "system",
-        content: \`Hello, world!\`,
-      },
-    ],
-  });`;
+    prompt = {
+      model: "gpt-3.5-turbo",
+      messages: [
+        {
+          role: "system",
+          content: "Return 'Hello, world!'",
+        }
+      ]
+    }`;
 }
 
 const NUM_RETRIES = 5;

app/src/utils/hooks.ts

@@ -148,13 +148,13 @@ export const useScenarioVars = () => {
   );
 };
 
-export const useLoggedCalls = (applyFilters = true) => {
+export const useLoggedCalls = () => {
   const selectedProjectId = useAppStore((state) => state.selectedProjectId);
   const { page, pageSize } = usePageParams();
   const filters = useAppStore((state) => state.logFilters.filters);
 
   const { data, isLoading, ...rest } = api.loggedCalls.list.useQuery(
-    { projectId: selectedProjectId ?? "", page, pageSize, filters: applyFilters ? filters : [] },
+    { projectId: selectedProjectId ?? "", page, pageSize, filters },
     { enabled: !!selectedProjectId },
   );
 

client-libs/python/README.md

@@ -3,7 +3,6 @@
 This client allows you automatically report your OpenAI calls to [OpenPipe](https://openpipe.ai/). OpenPipe
 
 ## Installation
-
 `pip install openpipe`
 
 ## Usage
@@ -16,7 +15,7 @@ This client allows you automatically report your OpenAI calls to [OpenPipe](http
 from openpipe import openai, configure_openpipe
 import os
 
-# Set the OpenPipe API key you got in step (2) above.
+# Set the OpenPipe API key you got in step (3) above.
 # If you have the `OPENPIPE_API_KEY` environment variable set we'll read from it by default.
 configure_openpipe(api_key=os.getenv("OPENPIPE_API_KEY"))
 
@@ -24,7 +23,7 @@ configure_openpipe(api_key=os.getenv("OPENPIPE_API_KEY"))
 openai.api_key = os.getenv("OPENAI_API_KEY")
 ```
 
-You can now use your new OpenAI client, which functions identically to the generic OpenAI client while also reporting calls to your OpenPipe instance.
+You can use the OpenPipe client for normal
 
 ## Special Features
 
@@ -38,4 +37,4 @@ completion = openai.ChatCompletion.create(
     messages=[{"role": "system", "content": "count to 10"}],
     openpipe={"tags": {"prompt_id": "counting"}},
 )
-```
+```

client-libs/python/openpipe/shared.py

@@ -6,9 +6,11 @@ from openpipe.api_client.client import AuthenticatedClient
 from openpipe.api_client.models.report_json_body_tags import (
     ReportJsonBodyTags,
 )
+import toml
 import time
 import os
-import pkg_resources
+
+version = toml.load("pyproject.toml")["tool"]["poetry"]["version"]
 
 configured_client = AuthenticatedClient(
     base_url="https://app.openpipe.ai/api/v1", token=""
@@ -21,7 +23,7 @@ if os.environ.get("OPENPIPE_API_KEY"):
 def _get_tags(openpipe_options):
     tags = openpipe_options.get("tags") or {}
     tags["$sdk"] = "python"
-    tags["$sdk.version"] = pkg_resources.get_distribution('openpipe').version
+    tags["$sdk.version"] = version
 
     return ReportJsonBodyTags.from_dict(tags)
 

client-libs/python/poetry.lock

@@ -1056,7 +1056,6 @@ files = [
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-    {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
     {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
     {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
     {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
@@ -1064,15 +1063,8 @@ files = [
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-    {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
     {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
-    {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
-    {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
-    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
-    {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
-    {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
-    {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
     {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
     {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
     {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
@@ -1089,7 +1081,6 @@ files = [
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
     {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
-    {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
     {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
     {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
     {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
@@ -1097,7 +1088,6 @@ files = [
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
     {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
-    {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
     {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
     {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
     {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -1157,6 +1147,17 @@ files = [
     {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
 ]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1366,4 +1367,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "f50c3ee43ebb9510bf42b9a16d8d6a92d561bec40e8f3c11fb2614e92a5b756f"
+content-hash = "e93c2ecac1b81a4fc1f9ad3dcedf03b1126cc6815e084ae233da7d3ece313ade"

client-libs/python/publish.sh

@@ -1,11 +0,0 @@
-#!/bin/bash
-set -e
-
-# Check if PYPI_OPENPIPE_TOKEN is set
-if [[ -z "${PYPI_OPENPIPE_TOKEN}" ]]; then
-    echo "Error: PYPI_OPENPIPE_TOKEN is not set."
-    exit 1
-fi
-
-# If the token is set, proceed with publishing
-poetry publish --build --username=__token__ --password=$PYPI_OPENPIPE_TOKEN

client-libs/python/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "openpipe"
-version = "3.1.2"
+version = "3.0.1"
 description = "Python client library for the OpenPipe service"
 authors = ["Kyle Corbitt <kyle@openpipe.ai>"]
 license = "Apache-2.0"
@@ -14,6 +14,7 @@ openai = "^0.27.8"
 httpx = "^0.24.1"
 attrs = "^23.1.0"
 python-dateutil = "^2.8.2"
+toml = "^0.10.2"
 
 [tool.poetry.dev-dependencies]
 

client-libs/typescript/README.md

@@ -59,11 +59,11 @@ main();
 
 ## FAQ
 
-<b><i>How do I report calls to my self-hosted instance?</i></b>
+<i>How do I report calls to my self-hosted instance?</i>
 
 Start an instance by following the instructions on [Running Locally](https://github.com/OpenPipe/OpenPipe#running-locally). Once it's running, point your `OPENPIPE_BASE_URL` to your self-hosted instance.
 
-<b><i>What if my `OPENPIPE_BASE_URL` is misconfigured or my instance goes down? Will my OpenAI calls stop working?</i></b>
+<i>What if my `OPENPIPE_BASE_URL` is misconfigured or my instance goes down? Will my OpenAI calls stop working?</i>
 
 Your OpenAI calls will continue to function as expected no matter what. The sdk handles logging errors gracefully without affecting OpenAI inference.
 

client-libs/typescript/package.json

@@ -1,6 +1,6 @@
 {
   "name": "openpipe-dev",
-  "version": "0.3.5",
+  "version": "0.3.3",
   "type": "module",
   "description": "Metrics and auto-evaluation for LLM calls",
   "scripts": {

docs/faq/how-reporting-works.mdx

@@ -1,23 +0,0 @@
----
-title: "How reporting works"
-description: "Our SDK wraps calls and forwards requests"
----
-
-### Does reporting calls add latency to streamed requests?
-
-Streamed requests won't have any added latency. The SDK forwards each streamed token as it's received from the server while
-simultaneously collecting it in the response it will report to your OpenPipe instance once the entire response has been received.
-
-#### Your OpenAI key never leaves your machine.
-
-Calls to OpenAI are carried out by our SDK **on your machine**, meaning that your API key is secure, and you'll
-continue getting uninterrupted inference even if your OpenPipe instance goes down.
-
-## <br />
-
-### Want to dig deeper? Take a peek in our open-source code.
-
-We benefit from a growing community of developers and customers who are
-dedicated to improving the OpenPipe experience. Our [open source repo](https://github.com/openpipe/openpipe)
-is an opportunity for developers to confirm the quality of our offering
-and to make improvements when they can.

docs/features/experiments.mdx

@@ -1,8 +0,0 @@
----
-title: "Experiments"
-description: "
-Template multiple scenarios into combinations of prompts and models to compare their output. Use flexible regex and GPT-4 evaluations to assess completion quality.
-Quickly iterate and spot model shortcomings before deployment."
----
-
-<Frame>![](/images/features/experiments.png)</Frame>

docs/features/exporting-data.mdx

@@ -1,8 +0,0 @@
----
-title: "Export Data - Beta"
-sidebarTitle: "Export Data"
-description: "
-Export your past requests as a JSONL file in an Alpaca or OpenAI fine-tuning format or in their raw form."
----
-
-<Frame>![](/images/features/exporting-data.png)</Frame>

docs/features/fine-tuning.mdx

@@ -1,8 +0,0 @@
----
-title: "Fine Tuning - Beta"
-sidebarTitle: "Fine Tuning"
-description: "
-Fine tune your data on specific logs. Filter by prompt id and exclude requests with an undesirable output."
----
-
-<Frame>![](/images/features/fine-tuning.png)</Frame>

docs/features/log-filters.mdx

@@ -1,7 +0,0 @@
----
-title: "Log Filters"
-description: "
-Search and filter your past LLM requests to inspect your responses and build a training dataset."
----
-
-<Frame>![](/images/features/log-filters.png)</Frame>

docs/getting-started/openpipe-sdk.mdx

@@ -1,114 +0,0 @@
----
-title: "Installing the SDK"
----
-
-Use the OpenPipe SDK as a drop-in replacement for the generic OpenAI package. We currently support logging OpenAI calls and support for more LLM providers will be added soon.
-
-<Tabs>
-  <Tab title="Python">
-
-Find the SDK at https://pypi.org/project/openpipe/
-
-## Simple Integration
-
-Add `OPENPIPE_API_KEY` to your environment variables.
-
-```bash
-export OPENPIPE_API_KEY=opk-<your-api-key>
-# Or you can set it in your code, as shown in the example below
-```
-
-Replace this line
-
-```python
-from openai import openai
-```
-
-with this one
-
-```python
-from openpipe import openai
-```
-
-## Adding Searchable Tags
-
-OpenPipe has a concept of "tagging." This is very useful for grouping a certain set of completions together.
-When you're using a dataset for fine-tuning, you can select all the prompts that match a certain set of tags. Here's how you can use the tagging feature:
-
-```python
-from openpipe import openai, configure_openpipe
-import os
-
-# If you have the `OPENPIPE_API_KEY` environment variable set
-# we'll read from it by default.
-configure_openpipe(api_key=os.getenv("OPENPIPE_API_KEY"))
-
-# Configure OpenAI the same way you would normally
-openai.api_key = os.getenv("OPENAI_API_KEY")
-
-completion = openai.ChatCompletion.create(
-    model="gpt-3.5-turbo",
-    messages=[{"role": "system", "content": "count to 10"}],
-    openpipe={"tags": {"prompt_id": "counting", "any_key": "any_value"}},
-)
-
-```
-
-  </Tab>
-  <Tab title="NodeJS">
-
-Find the SDK at https://www.npmjs.com/package/openpipe
-
-## Simple Integration
-
-Add `OPENPIPE_API_KEY` to your environment variables.
-
-```bash
-export OPENPIPE_API_KEY=opk-<your-api-key>
-# Or you can set it in your code, as shown in the example below
-```
-
-Replace this line
-
-```typescript
-import OpenAI from "openai";
-```
-
-with this one
-
-```typescript
-import OpenAI from "openpipe/openai";
-```
-
-## Adding Searchable Tags
-
-OpenPipe has a concept of "tagging." This is very useful for grouping a certain set of completions together.
-When you're using a dataset for fine-tuning, you can select all the prompts that match a certain set of tags. Here's how you can use the tagging feature:
-
-```typescript
-// Fully compatible with original OpenAI initialization
-const openai = new OpenAI({
-  apiKey: "my api key", // defaults to process.env["OPENAI_API_KEY"]
-  // openpipe key is optional
-  openpipe: {
-    apiKey: "my api key", // defaults to process.env["OPENPIPE_API_KEY"]
-    baseUrl: "my url", // defaults to process.env["OPENPIPE_BASE_URL"] or https://app.openpipe.ai/api/v1 if not set
-  },
-});
-
-const completion = await openai.chat.completions.create({
-  messages: [{ role: "user", content: "Count to 10" }],
-  model: "gpt-3.5-turbo",
-  // optional
-  openpipe: {
-    // Add custom searchable tags
-    tags: {
-      prompt_id: "counting",
-      any_key: "any_value",
-    },
-  },
-});
-```
-
-  </Tab>
-</Tabs>

docs/getting-started/quick-start.mdx

@@ -1,35 +0,0 @@
----
-title: "Quick Start"
-description: "Get started with OpenPipe in a few quick steps."
----
-
-## Step 1: Create your OpenPipe Account
-
-If you don't already have one, create an account with OpenPipe at https://app.openpipe.ai/. You can sign up with GitHub, so you don't need to remember an extra password.
-
-## Step 2: Find your Project API key
-
-In order to capture your calls and fine-tune a model on them, we need an API key to authenticate you and determine which project to store your logs under.
-
-<Note>
-  When you created your account, a project was automatically configured for you as well. Find its
-  API key at https://app.openpipe.ai/project/settings.
-</Note>
-
-## Step 3: Integrate the OpenPipe SDK
-
-You're done with the hard part! Learn how to integrate the OpenPipe SDK on the next page.
-
-<CardGroup cols={2}>
-  <Card
-    title="OpenPipe SDK"
-    icon={
-      <svg role="img" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
-        <title>OpenPipe</title>
-        <path d="M22.2819 9.8211a5.9847 5.9847 0 0 0-.5157-4.9108 6.0462 6.0462 0 0 0-6.5098-2.9A6.0651 6.0651 0 0 0 4.9807 4.1818a5.9847 5.9847 0 0 0-3.9977 2.9 6.0462 6.0462 0 0 0 .7427 7.0966 5.98 5.98 0 0 0 .511 4.9107 6.051 6.051 0 0 0 6.5146 2.9001A5.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z" />
-      </svg>
-    }
-    iconType="duotone"
-    href="/getting-started/openpipe-sdk"
-  ></Card>
-</CardGroup>

docs/introduction.mdx

@@ -1,18 +0,0 @@
----
-title: "OpenPipe Documentation"
-sidebarTitle: "Introduction"
-description: "
-Product-focused teams use OpenPipe's seamless fine-tuning and monitoring services to decrease the cost and latency of their LLM operations. 
-You can use OpenPipe to collect and analyze LLM logs, create fine-tuned models, and compare output from multiple models given the same input."
----
-
-<Frame>![](/images/intro/request-logs.png)</Frame>
-
-<CardGroup cols={2}>
-  <Card title="Get Started" icon="code">
-    Quickly integrate the OpenPipe SDK into your application and start collecting data.
-  </Card>
-  <Card title="Features" icon="lightbulb">
-    View the platform features OpenPipe provides and learn how to use them.
-  </Card>
-</CardGroup>

docs/mint.json

@@ -1,65 +0,0 @@
-{
-  "name": "OpenPipe",
-  "logo": {
-    "light": "/logo/light.svg",
-    "dark": "/logo/dark.svg"
-  },
-  "favicon": "/favicon.webp",
-  "colors": {
-    "primary": "#FF5733",
-    "light": "#FF5733",
-    "dark": "#FF5733"
-  },
-  "modeToggle": {
-    "default": "light"
-  },
-  "topbarCtaButton": {
-    "name": "Sign In",
-    "url": "https://app.openpipe.ai"
-  },
-  "anchors": [
-    {
-      "name": "GitHub",
-      "icon": "github",
-      "url": "https://github.com/openpipe/openpipe"
-    }
-  ],
-  "feedback": {
-    "suggestEdit": true,
-    "raiseIssue": true
-  },
-  "navigation": [
-    {
-      "group": "Welcome",
-      "pages": ["introduction", "overview"]
-    },
-    {
-      "group": "Getting Started",
-      "pages": ["getting-started/quick-start", "getting-started/openpipe-sdk"]
-    },
-    {
-      "group": "Features",
-      "pages": [
-        "features/log-filters",
-        "features/exporting-data",
-        "features/fine-tuning",
-        "features/experiments"
-      ]
-    },
-    {
-      "group": "FAQ",
-      "pages": ["faq/how-reporting-works"]
-    }
-  ],
-  "topbarLinks": [
-    {
-      "name": "Github",
-      "url": "https://github.com/OpenPipe/OpenPipe"
-    }
-  ],
-  "footerSocials": {
-    "twitter": "https://twitter.com/OpenPipeAI",
-    "linkedin": "https://www.linkedin.com/company/openpipe/about/",
-    "github": "https://github.com/OpenPipe/OpenPipe"
-  }
-}

docs/overview.mdx

@@ -1,30 +0,0 @@
----
-title: "Overview"
-description: "OpenPipe is a streamlined platform designed to help product-focused teams train specialized LLM models as replacements for slow and expensive prompts."
----
-
-## Who We Are
-
-We're a team of full-stack engineers and machine learning researchers working to streamline the process of integrating fine-tuned models into any application. Our goal is to make the fine-tuning process accessible to everyone.
-
-## What We Provide
-
-Here are a few of the features we offer:
-
-- **Data Capture**: OpenPipe automatically captures every request and response sent through our drop-in replacement sdk and stores it for your future use.
-
-- **Monitoring**: OpenPipe provides intuitive tools to view the frequency and cost of your LLM requests, and provides a special tool for viewing requests with error status codes.
-
-- **Searchable Logs**: We enable you to search your past requests, and provide a simple protocol for tagging them by prompt id for easy filtering.
-
-- **Fine-Tuning**: With all your LLM requests and responses in one place, it's easy to select the data you want to fine-tune on and kick off a job.
-
-- **Model Hosting**: After we've trained your model, OpenPipe will automatically begin hosting it. Accessing your model will require an API key from your project.
-
-- **Unified SDK**: Switching requests from your previous LLM provider to your new model is as simple as changing the model name. All our models implement the OpenAI inference format, so you won't have to change how you parse its response.
-
-- **Data Export**: OpenPipe allows you to download your request logs or the fine-tuned models you've trained at any time for easy self-hosting.
-
-- **Experimentation**: The fine-tunes you've created on OpenPipe are immediately available for you to run inference on in our experimentation playground.
-
-Welcome to the OpenPipe community!