From f1616183eb896bdbceac5372c641524a55cbae38 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Thu, 30 Jan 2025 10:16:58 -0600
Subject: [PATCH 01/43] feat(ui): lightbox for images (#3503)

---
 .../Browse3/datasets/EditableDatasetView.tsx  |   2 +-
 .../PIL.Image.Image/PILImageImage.tsx         | 240 ++++++++++++++++--
 2 files changed, 214 insertions(+), 28 deletions(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
index a6764e3d389e..f468dec3dafc 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
@@ -409,7 +409,7 @@ export const EditableDatasetView: FC<EditableDataTableViewProps> = ({
       renderCell: (params: GridRenderCellParams) => {
         if (!isEditing) {
           return (
-            <Box sx={{marginLeft: '8px'}}>
+            <Box sx={{marginLeft: '8px', height: '100%'}}>
               <CellValue value={params.value} />
             </Box>
           );
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/typeViews/PIL.Image.Image/PILImageImage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/typeViews/PIL.Image.Image/PILImageImage.tsx
index b26453e4adce..11d52e8d171e 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/typeViews/PIL.Image.Image/PILImageImage.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/typeViews/PIL.Image.Image/PILImageImage.tsx
@@ -1,5 +1,10 @@
-import React from 'react';
+import React, {useEffect, useMemo, useState} from 'react';
+import {AutoSizer} from 'react-virtualized';
+import Lightbox from 'yet-another-react-lightbox';
+import Fullscreen from 'yet-another-react-lightbox/plugins/fullscreen';
+import Zoom from 'yet-another-react-lightbox/plugins/zoom';
 
+import {StyledTooltip, TooltipHint} from '../../../../../DraggablePopups';
 import {LoadingDots} from '../../../../../LoadingDots';
 import {NotApplicable} from '../../NotApplicable';
 import {useWFHooks} from '../../pages/wfReactInterface/context';
@@ -10,57 +15,238 @@ type PILImageImageTypePayload = CustomWeaveTypePayload<
   {'image.jpg': string} | {'image.png': string}
 >;
 
-export const PILImageImage: React.FC<{
+type PILImageImageProps = {
   entity: string;
   project: string;
   data: PILImageImageTypePayload;
-}> = props => {
-  const {useFileContent} = useWFHooks();
+};
+
+export const PILImageImage = (props: PILImageImageProps) => (
+  <AutoSizer style={{height: '100%', width: '100%'}}>
+    {({width, height}) => {
+      if (width === 0 || height === 0) {
+        return null;
+      }
+      return (
+        <PILImageImageWithSize
+          {...props}
+          containerWidth={width}
+          containerHeight={height}
+        />
+      );
+    }}
+  </AutoSizer>
+);
+
+type PILImageImageWithSizeProps = PILImageImageProps & {
+  containerWidth: number;
+  containerHeight: number;
+};
 
+const PILImageImageWithSize = ({
+  entity,
+  project,
+  data,
+  containerWidth,
+  containerHeight,
+}: PILImageImageWithSizeProps) => {
+  const {useFileContent} = useWFHooks();
   const imageTypes = {
     'image.jpg': 'jpg',
     'image.png': 'png',
   } as const;
 
-  const imageKey = Object.keys(props.data.files).find(
-    key => key in imageTypes
-  ) as keyof PILImageImageTypePayload['files'] | undefined;
+  const imageKey = Object.keys(data.files).find(key => key in imageTypes) as
+    | keyof PILImageImageTypePayload['files']
+    | undefined;
   const imageBinary = useFileContent(
-    props.entity,
-    props.project,
-    imageKey ? props.data.files[imageKey] : '',
+    entity,
+    project,
+    imageKey ? data.files[imageKey] : '',
     {skip: !imageKey}
   );
-
   if (!imageKey) {
     return <NotApplicable />;
-  }
-  const imageFileExt = imageTypes[imageKey as keyof typeof imageTypes];
-
-  if (imageBinary.loading) {
+  } else if (imageBinary.loading) {
     return <LoadingDots />;
   } else if (imageBinary.result == null) {
     return <span></span>;
   }
+  const fileExt = imageTypes[imageKey as keyof typeof imageTypes];
+
+  return (
+    <PILImageImageWithData
+      fileExt={fileExt}
+      buffer={imageBinary.result}
+      containerWidth={containerWidth}
+      containerHeight={containerHeight}
+    />
+  );
+};
+
+const loadImage = (setImageDim: any, imageUrl: string) => {
+  const img = new Image();
+  img.src = imageUrl;
+
+  img.onload = () => {
+    setImageDim({
+      height: img.height,
+      width: img.width,
+    });
+  };
+  img.onerror = err => {
+    console.log('img error');
+    console.error(err);
+  };
+};
+
+type PILImageImageWithDataProps = {
+  fileExt: 'jpg' | 'png';
+  buffer: ArrayBuffer;
+  containerWidth: number;
+  containerHeight: number;
+};
+
+const PILImageImageWithData = ({
+  fileExt,
+  buffer,
+  containerWidth,
+  containerHeight,
+}: PILImageImageWithDataProps) => {
+  const url = useMemo(() => {
+    const blob = new Blob([buffer], {
+      type: `image/${fileExt}`,
+    });
+    return URL.createObjectURL(blob);
+  }, [buffer, fileExt]);
 
-  const arrayBuffer = imageBinary.result as any as ArrayBuffer;
-  const blob = new Blob([arrayBuffer], {
-    type: `image/${imageFileExt}`,
+  const [imageDim, setImageDim] = useState({
+    width: -1,
+    height: -1,
   });
-  const url = URL.createObjectURL(blob);
+  useEffect(() => {
+    setImageDim({width: -1, height: -1});
+    loadImage(setImageDim, url);
+  }, [url]);
 
-  // TODO: It would be nice to have a more general image render - similar to the
-  // ValueViewImage that does things like light box, general scaling,
-  // downloading, etc..
+  if (imageDim.width === -1 || imageDim.height === -1) {
+    return <LoadingDots />;
+  }
   return (
+    <PILImageImageLoaded
+      url={url}
+      fileExt={fileExt}
+      imageWidth={imageDim.width}
+      imageHeight={imageDim.height}
+      containerWidth={containerWidth}
+      containerHeight={containerHeight}
+    />
+  );
+};
+
+type PILImageImageLoadedProps = {
+  url: string;
+  fileExt: 'jpg' | 'png';
+  imageWidth: number;
+  imageHeight: number;
+  containerWidth: number;
+  containerHeight: number;
+};
+
+const previewWidth = 300;
+const previewHeight = 300;
+
+const PILImageImageLoaded = ({
+  url,
+  fileExt,
+  imageWidth,
+  imageHeight,
+  containerWidth,
+  containerHeight,
+}: PILImageImageLoadedProps) => {
+  const [lightboxOpen, setLightboxOpen] = useState(false);
+  const onClick = () => setLightboxOpen(true);
+
+  let image = (
     <img
-      src={url}
-      alt="Custom"
       style={{
-        width: '100%',
-        height: '100%',
-        objectFit: 'contain',
+        maxWidth: '100%',
+        maxHeight: '100%',
+        cursor: 'pointer',
       }}
+      src={url}
+      alt="Custom"
+      onClick={onClick}
     />
   );
+
+  const hasPreview =
+    containerWidth < previewWidth || containerHeight < previewHeight;
+
+  if (hasPreview) {
+    const preview = (
+      <div
+        style={{
+          display: 'flex',
+          flexDirection: 'column',
+          cursor: 'pointer',
+        }}>
+        <div
+          style={{
+            maxWidth: previewWidth,
+            maxHeight: previewHeight,
+            margin: 'auto',
+            overflow: 'hidden',
+          }}>
+          <img
+            style={{
+              maxWidth: '100%',
+              maxHeight: '100%',
+              objectFit: 'contain',
+            }}
+            src={url}
+            alt="Custom"
+            onClick={onClick}
+          />
+        </div>
+        <TooltipHint>
+          {imageWidth}x{imageHeight}, {fileExt} - Click for more details
+        </TooltipHint>
+      </div>
+    );
+    image = (
+      <StyledTooltip enterDelay={500} title={preview}>
+        {image}
+      </StyledTooltip>
+    );
+  }
+
+  return (
+    <>
+      <div
+        style={{
+          display: 'flex',
+          alignItems: 'center',
+          justifyContent: 'center',
+          height: '100%',
+        }}>
+        {image}
+      </div>
+      <Lightbox
+        plugins={[Fullscreen, Zoom]}
+        open={lightboxOpen}
+        close={() => setLightboxOpen(false)}
+        controller={{
+          closeOnBackdropClick: true,
+        }}
+        slides={[{src: url}]}
+        render={{
+          // Hide previous and next buttons because we only have one image.
+          buttonPrev: () => null,
+          buttonNext: () => null,
+        }}
+        carousel={{finite: true}}
+      />
+    </>
+  );
 };

From 9a559b7158248653de00e097a975e136cbf50b73 Mon Sep 17 00:00:00 2001
From: Martin Mark <martin.mark@wandb.com>
Date: Thu, 30 Jan 2025 11:23:29 -0500
Subject: [PATCH 02/43] chore(ui): playground: added background large system
 prompt, smaller spacing between trials / message panel (#3533)

* Show more button - system prompt background

* Tighten up spacing

* Lint
---
 .../Home/Browse3/pages/ChatView/ChoicesDrawer.tsx |  2 +-
 .../Home/Browse3/pages/ChatView/MessagePanel.tsx  |  3 ++-
 .../Browse3/pages/ChatView/ShowMoreButton.tsx     | 15 ++++++++++++---
 3 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesDrawer.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesDrawer.tsx
index 87d81e86934d..89e4378a6a34 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesDrawer.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesDrawer.tsx
@@ -97,7 +97,7 @@ export const ChoicesDrawer = ({
         </Box>
       </Box>
       <Tailwind>
-        <div className="mb-[72px] flex flex-col gap-[16px] px-[16px] pb-[16px] pt-[8px]">
+        <div className="mb-[72px] flex flex-col px-[16px] pb-[16px] pt-[8px]">
           {choices.map((c, index) => (
             <div key={index}>
               <div className="sticky top-[44px] z-10 flex items-center bg-white py-[8px]">
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/MessagePanel.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/MessagePanel.tsx
index 560585fd10da..1f4e79ae3169 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/MessagePanel.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/MessagePanel.tsx
@@ -72,7 +72,7 @@ export const MessagePanel = ({
   return (
     <div
       className={classNames('group', {
-        'mb-[24px]': !isNested,
+        'mb-[16px]': !isNested,
         'mb-[0]': isNested,
       })}>
       <div className="flex gap-[16px]">
@@ -172,6 +172,7 @@ export const MessagePanel = ({
             {isOverflowing && !hasToolCalls && !editorHeight && (
               <ShowMoreButton
                 isUser={isUser}
+                isSystemPrompt={isSystemPrompt}
                 isShowingMore={isShowingMore}
                 setIsShowingMore={setIsShowingMore}
               />
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ShowMoreButton.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ShowMoreButton.tsx
index c23527643edd..a681112cbb17 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ShowMoreButton.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ShowMoreButton.tsx
@@ -6,19 +6,28 @@ type ShowMoreButtonProps = {
   isShowingMore: boolean;
   setIsShowingMore: Dispatch<SetStateAction<boolean>>;
   isUser?: boolean;
+  isSystemPrompt?: boolean;
 };
+
 export const ShowMoreButton = ({
   isShowingMore,
   setIsShowingMore,
   isUser,
+  isSystemPrompt,
 }: ShowMoreButtonProps) => {
   return (
     <div
       className={classNames('flex w-full items-center justify-center', {
         'pt-[4px]': isShowingMore,
-        [`absolute z-[1] mt-[-32px] rounded-b-xl bg-gradient-to-t from-70% pb-[4px] pt-[16px] ${
-          isUser ? 'from-[#f4fbe8]' : 'from-white'
-        } to-transparent`]: !isShowingMore,
+        [`absolute z-[1] mt-[-32px] rounded-b-xl bg-gradient-to-t from-70% pb-[4px] pt-[16px] 
+          ${
+            isUser
+              ? 'from-[#f4fbe8]'
+              : isSystemPrompt
+              ? 'from-[#f8f8f8]'
+              : 'from-white'
+          } 
+          to-transparent`]: !isShowingMore,
       })}>
       <Button
         variant="ghost"

From 49f2246cd568afb50e687fafe8d6e4e1cdad1084 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Thu, 30 Jan 2025 10:24:10 -0600
Subject: [PATCH 03/43] refactor(ui): split SmallRef into smaller files (#3532)

---
 .../Browse3/pages/CallPage/ObjectViewer.tsx   |   2 +-
 .../EvaluationDefinition.tsx                  |   3 +-
 .../Browse3/smallRef/SmallArtifactRef.tsx     | 103 ++++++
 .../Home/Browse3/smallRef/SmallRef.tsx        | 299 +-----------------
 .../Home/Browse3/smallRef/SmallRefBox.tsx     |  43 +++
 .../Home/Browse3/smallRef/SmallWeaveRef.tsx   | 158 +++++++++
 .../Home/Browse3/smallRef/types.ts            |   9 +
 7 files changed, 319 insertions(+), 298 deletions(-)
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallArtifactRef.tsx
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefBox.tsx
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/types.ts

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/ObjectViewer.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/ObjectViewer.tsx
index b156d4e2a3a7..25f21a947f75 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/ObjectViewer.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/ObjectViewer.tsx
@@ -23,7 +23,7 @@ import {parseRefMaybe} from '../../../../../../react';
 import {LoadingDots} from '../../../../../LoadingDots';
 import {Browse2OpDefCode} from '../../../Browse2/Browse2OpDefCode';
 import {isWeaveRef} from '../../filters/common';
-import {objectRefDisplayName} from '../../smallRef/SmallRef';
+import {objectRefDisplayName} from '../../smallRef/SmallWeaveRef';
 import {StyledDataGrid} from '../../StyledDataGrid';
 import {
   CustomWeaveTypePayload,
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CompareEvaluationsPage/sections/ComparisonDefinitionSection/EvaluationDefinition.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CompareEvaluationsPage/sections/ComparisonDefinitionSection/EvaluationDefinition.tsx
index f9acea42f5a0..5ce434a249cd 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CompareEvaluationsPage/sections/ComparisonDefinitionSection/EvaluationDefinition.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CompareEvaluationsPage/sections/ComparisonDefinitionSection/EvaluationDefinition.tsx
@@ -9,7 +9,8 @@ import {
 import {hexToRGB} from '../../../../../../../../common/css/utils';
 import {parseRef, WeaveObjectRef} from '../../../../../../../../react';
 import {Icon, IconNames} from '../../../../../../../Icon';
-import {objectRefDisplayName, SmallRef} from '../../../../smallRef/SmallRef';
+import {SmallRef} from '../../../../smallRef/SmallRef';
+import {objectRefDisplayName} from '../../../../smallRef/SmallWeaveRef';
 import {CallLink, ObjectVersionLink} from '../../../common/Links';
 import {useWFHooks} from '../../../wfReactInterface/context';
 import {isObjDeleteError} from '../../../wfReactInterface/utilities';
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallArtifactRef.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallArtifactRef.tsx
new file mode 100644
index 000000000000..05dc656916c8
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallArtifactRef.tsx
@@ -0,0 +1,103 @@
+import {Box} from '@mui/material';
+import * as Tooltip from '@radix-ui/react-tooltip';
+import {useArtifactWeaveReference} from '@wandb/weave/common/hooks/useArtifactWeaveReference';
+import {WandbArtifactRef} from '@wandb/weave/react';
+import React, {FC} from 'react';
+
+import {IconNames} from '../../../../Icon';
+import {fetchArtifactRefPageUrl} from '../artifactRegistry';
+import {Link} from '../pages/common/Links';
+import {SmallRefBox} from './SmallRefBox';
+
+export const SmallArtifactRef: FC<{
+  objRef: WandbArtifactRef;
+  iconOnly?: boolean;
+}> = ({objRef}) => {
+  const {loading, artInfo} = useArtifactWeaveReference({
+    entityName: objRef.entityName,
+    projectName: objRef.projectName,
+    artifactName: objRef.artifactName + ':' + objRef.artifactVersion,
+  });
+  if (loading) {
+    return (
+      <Box
+        sx={{
+          width: '100%',
+          height: '100%',
+          minHeight: '38px',
+          display: 'flex',
+          alignItems: 'center',
+        }}>
+        <SmallRefBox iconName={IconNames.Loading} text="Loading..." />
+      </Box>
+    );
+  }
+
+  const artifactUrl = artInfo
+    ? fetchArtifactRefPageUrl({
+        entityName: objRef.entityName,
+        projectName: objRef.projectName,
+        artifactName: objRef.artifactName,
+        artifactVersion: objRef.artifactVersion,
+        artifactType: artInfo?.artifactType,
+        orgName: artInfo?.orgName,
+      })
+    : null;
+
+  const Content = (
+    <Tooltip.Provider delayDuration={150} skipDelayDuration={50}>
+      <Tooltip.Root>
+        <Box
+          sx={{
+            width: '100%',
+            height: '100%',
+            minHeight: '38px',
+            display: 'flex',
+            alignItems: 'center',
+            cursor: artifactUrl ? 'pointer' : 'not-allowed',
+          }}>
+          <Tooltip.Trigger asChild>
+            <Box sx={{display: 'flex', alignItems: 'center'}}>
+              <SmallRefBox
+                iconName={IconNames.Registries}
+                text={`${objRef.artifactName}:${objRef.artifactVersion}`}
+              />
+            </Box>
+          </Tooltip.Trigger>
+        </Box>
+        <Tooltip.Portal>
+          <Tooltip.Content
+            side="top"
+            sideOffset={8}
+            className="rounded bg-moon-900 px-3 py-2 text-sm text-moon-200"
+            style={{
+              zIndex: 9999,
+              position: 'relative',
+              backgroundColor: '#1a1a1a',
+              color: '#e0e0e0',
+              padding: '8px 12px',
+              borderRadius: '4px',
+            }}>
+            {artifactUrl
+              ? objRef.artifactPath
+              : 'No link detected for this wandb artifact reference: ' +
+                objRef.artifactPath}
+            <Tooltip.Arrow style={{fill: '#1a1a1a'}} />
+          </Tooltip.Content>
+        </Tooltip.Portal>
+      </Tooltip.Root>
+    </Tooltip.Provider>
+  );
+
+  return artifactUrl ? (
+    <Link
+      $variant="secondary"
+      style={{width: '100%', height: '100%'}}
+      as="a"
+      href={artifactUrl}>
+      {Content}
+    </Link>
+  ) : (
+    Content
+  );
+};
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRef.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRef.tsx
index f1f2a0874712..d591b4556ae9 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRef.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRef.tsx
@@ -1,306 +1,13 @@
-import {Box} from '@mui/material';
-import * as Tooltip from '@radix-ui/react-tooltip';
-import {useArtifactWeaveReference} from '@wandb/weave/common/hooks/useArtifactWeaveReference';
-import {getTypeName, Type} from '@wandb/weave/core';
 import {
   isWandbArtifactRef,
   isWeaveObjectRef,
   ObjectRef,
-  refUri,
-  WandbArtifactRef,
-  WeaveObjectRef,
 } from '@wandb/weave/react';
 import React, {FC} from 'react';
 
-import {hexToRGB, MOON_300} from '../../../../../common/css/globals.styles';
-import {Icon, IconName, IconNames} from '../../../../Icon';
-import {fetchArtifactRefPageUrl} from '../artifactRegistry';
-import {useWeaveflowRouteContext} from '../context';
-import {Link} from '../pages/common/Links';
-import {useWFHooks} from '../pages/wfReactInterface/context';
-import {isObjDeleteError} from '../pages/wfReactInterface/utilities';
-import {
-  ObjectVersionKey,
-  OpVersionKey,
-} from '../pages/wfReactInterface/wfDataModelHooksInterface';
-
-const getRootType = (t: Type): Type => {
-  if (
-    (t as any)._base_type != null &&
-    (t as any)._base_type?.type !== 'Object'
-  ) {
-    return getRootType((t as any)._base_type);
-  }
-  return t;
-};
-
-type WFDBTableType =
-  | 'Op'
-  | 'OpVersion'
-  | 'Type'
-  | 'TypeVersion'
-  | 'Trace'
-  | 'Call'
-  | 'Object'
-  | 'ObjectVersion';
-
-export const objectRefDisplayName = (
-  objRef: ObjectRef,
-  versionIndex?: number
-) => {
-  if (isWandbArtifactRef(objRef)) {
-    const versionStr =
-      versionIndex != null
-        ? `v${versionIndex}`
-        : objRef.artifactVersion.slice(0, 6);
-    let label = `${objRef.artifactName}:${versionStr}`;
-    if (objRef.artifactPath !== 'obj') {
-      label += '/' + objRef.artifactPath;
-    }
-    if (objRef.artifactRefExtra) {
-      // Remove every other extra part
-      const parts = objRef.artifactRefExtra.split('/');
-      const newParts = [];
-      for (let i = 1; i < parts.length; i += 2) {
-        newParts.push(parts[i]);
-      }
-      label += '#' + newParts.join('/');
-    }
-    return {label};
-  } else if (isWeaveObjectRef(objRef)) {
-    const versionStr =
-      versionIndex != null
-        ? `v${versionIndex}`
-        : objRef.artifactVersion.slice(0, 6);
-    let label = `${objRef.artifactName}:${versionStr}`;
-    if (objRef.artifactRefExtra) {
-      label += '/' + objRef.artifactRefExtra;
-    }
-    return {label};
-  }
-  throw new Error('Unknown ref type');
-};
-
-export const SmallRefBox: FC<{
-  iconName: IconName;
-  text: string;
-  iconOnly?: boolean;
-  isDeleted?: boolean;
-}> = ({iconName, text, iconOnly = false, isDeleted = false}) => (
-  <Box display="flex" alignItems="center">
-    <Box
-      mr="4px"
-      bgcolor={hexToRGB(MOON_300, 0.48)}
-      sx={{
-        height: '22px',
-        width: '22px',
-        borderRadius: '16px',
-        display: 'flex',
-        flex: '0 0 22px',
-        justifyContent: 'center',
-        alignItems: 'center',
-      }}>
-      <Icon name={iconName} width={14} height={14} />
-    </Box>
-    {!iconOnly && (
-      <Box
-        sx={{
-          height: '22px',
-          flex: 1,
-          minWidth: 0,
-          overflow: 'hidden',
-          whiteSpace: 'nowrap',
-          textOverflow: 'ellipsis',
-          textDecoration: isDeleted ? 'line-through' : 'none',
-        }}>
-        {text}
-      </Box>
-    )}
-  </Box>
-);
-
-export const SmallArtifactRef: FC<{
-  objRef: WandbArtifactRef;
-  iconOnly?: boolean;
-}> = ({objRef}) => {
-  const {loading, artInfo} = useArtifactWeaveReference({
-    entityName: objRef.entityName,
-    projectName: objRef.projectName,
-    artifactName: objRef.artifactName + ':' + objRef.artifactVersion,
-  });
-  if (loading) {
-    return (
-      <Box
-        sx={{
-          width: '100%',
-          height: '100%',
-          minHeight: '38px',
-          display: 'flex',
-          alignItems: 'center',
-        }}>
-        <SmallRefBox iconName={IconNames.Loading} text="Loading..." />
-      </Box>
-    );
-  }
-
-  const artifactUrl = artInfo
-    ? fetchArtifactRefPageUrl({
-        entityName: objRef.entityName,
-        projectName: objRef.projectName,
-        artifactName: objRef.artifactName,
-        artifactVersion: objRef.artifactVersion,
-        artifactType: artInfo?.artifactType,
-        orgName: artInfo?.orgName,
-      })
-    : null;
-
-  const Content = (
-    <Tooltip.Provider delayDuration={150} skipDelayDuration={50}>
-      <Tooltip.Root>
-        <Box
-          sx={{
-            width: '100%',
-            height: '100%',
-            minHeight: '38px',
-            display: 'flex',
-            alignItems: 'center',
-            cursor: artifactUrl ? 'pointer' : 'not-allowed',
-          }}>
-          <Tooltip.Trigger asChild>
-            <Box sx={{display: 'flex', alignItems: 'center'}}>
-              <SmallRefBox
-                iconName={IconNames.Registries}
-                text={`${objRef.artifactName}:${objRef.artifactVersion}`}
-              />
-            </Box>
-          </Tooltip.Trigger>
-        </Box>
-        <Tooltip.Portal>
-          <Tooltip.Content
-            side="top"
-            sideOffset={8}
-            className="rounded bg-moon-900 px-3 py-2 text-sm text-moon-200"
-            style={{
-              zIndex: 9999,
-              position: 'relative',
-              backgroundColor: '#1a1a1a',
-              color: '#e0e0e0',
-              padding: '8px 12px',
-              borderRadius: '4px',
-            }}>
-            {artifactUrl
-              ? objRef.artifactPath
-              : 'No link detected for this wandb artifact reference: ' +
-                objRef.artifactPath}
-            <Tooltip.Arrow style={{fill: '#1a1a1a'}} />
-          </Tooltip.Content>
-        </Tooltip.Portal>
-      </Tooltip.Root>
-    </Tooltip.Provider>
-  );
-
-  return artifactUrl ? (
-    <Link
-      $variant="secondary"
-      style={{width: '100%', height: '100%'}}
-      as="a"
-      href={artifactUrl}>
-      {Content}
-    </Link>
-  ) : (
-    Content
-  );
-};
-
-export const SmallWeaveRef: FC<{
-  objRef: WeaveObjectRef;
-  wfTable?: WFDBTableType;
-  iconOnly?: boolean;
-}> = ({objRef, wfTable, iconOnly = false}) => {
-  const {
-    useObjectVersion,
-    useOpVersion,
-    derived: {useRefsType},
-  } = useWFHooks();
-
-  let objVersionKey: ObjectVersionKey | null = null;
-  let opVersionKey: OpVersionKey | null = null;
-
-  if (objRef.weaveKind === 'op') {
-    opVersionKey = {
-      entity: objRef.entityName,
-      project: objRef.projectName,
-      opId: objRef.artifactName,
-      versionHash: objRef.artifactVersion,
-    };
-  } else {
-    objVersionKey = {
-      scheme: 'weave',
-      entity: objRef.entityName,
-      project: objRef.projectName,
-      weaveKind: objRef.weaveKind,
-      objectId: objRef.artifactName,
-      versionHash: objRef.artifactVersion,
-      path: '',
-      refExtra: objRef.artifactRefExtra,
-    };
-  }
-
-  const objectVersion = useObjectVersion(objVersionKey, true);
-  const opVersion = useOpVersion(opVersionKey, true);
-  const isDeleted =
-    isObjDeleteError(objectVersion?.error) ||
-    isObjDeleteError(opVersion?.error);
-  const versionIndex =
-    objectVersion.result?.versionIndex ?? opVersion.result?.versionIndex;
-
-  const {peekingRouter} = useWeaveflowRouteContext();
-  const refTypeQuery = useRefsType([refUri(objRef)]);
-  const refType: Type =
-    refTypeQuery.loading || refTypeQuery.result == null
-      ? 'unknown'
-      : refTypeQuery.result[0];
-  let rootType = getRootType(refType);
-  if (objRef.scheme === 'weave' && objRef.weaveKind === 'op') {
-    // TODO: Why is this necessary? The type is coming back as `objRef`
-    rootType = {type: 'OpDef'};
-  }
-  const {label} = objectRefDisplayName(objRef, versionIndex);
-
-  const rootTypeName = getTypeName(rootType);
-  let icon: IconName = IconNames.CubeContainer;
-  if (rootTypeName === 'Dataset') {
-    icon = IconNames.Table;
-  } else if (rootTypeName === 'Model') {
-    icon = IconNames.Model;
-  } else if (rootTypeName === 'List') {
-    icon = IconNames.List;
-  } else if (rootTypeName === 'OpDef') {
-    icon = IconNames.JobProgramCode;
-  }
-  const Item = (
-    <SmallRefBox
-      iconName={icon}
-      text={label}
-      iconOnly={iconOnly}
-      isDeleted={isDeleted}
-    />
-  );
-
-  if (refTypeQuery.loading || isDeleted) {
-    return Item;
-  }
-  return (
-    <Link
-      $variant="secondary"
-      style={{
-        width: '100%',
-      }}
-      to={peekingRouter.refUIUrl(rootTypeName, objRef, wfTable)}>
-      {Item}
-    </Link>
-  );
-};
+import {SmallArtifactRef} from './SmallArtifactRef';
+import {SmallWeaveRef} from './SmallWeaveRef';
+import {WFDBTableType} from './types';
 
 export const SmallRef: FC<{
   objRef: ObjectRef;
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefBox.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefBox.tsx
new file mode 100644
index 000000000000..67cae983feff
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefBox.tsx
@@ -0,0 +1,43 @@
+import {Box} from '@mui/material';
+import React, {FC} from 'react';
+
+import {hexToRGB, MOON_300} from '../../../../../common/css/globals.styles';
+import {Icon, IconName} from '../../../../Icon';
+
+export const SmallRefBox: FC<{
+  iconName: IconName;
+  text: string;
+  iconOnly?: boolean;
+  isDeleted?: boolean;
+}> = ({iconName, text, iconOnly = false, isDeleted = false}) => (
+  <Box display="flex" alignItems="center">
+    <Box
+      mr="4px"
+      bgcolor={hexToRGB(MOON_300, 0.48)}
+      sx={{
+        height: '22px',
+        width: '22px',
+        borderRadius: '16px',
+        display: 'flex',
+        flex: '0 0 22px',
+        justifyContent: 'center',
+        alignItems: 'center',
+      }}>
+      <Icon name={iconName} width={14} height={14} />
+    </Box>
+    {!iconOnly && (
+      <Box
+        sx={{
+          height: '22px',
+          flex: 1,
+          minWidth: 0,
+          overflow: 'hidden',
+          whiteSpace: 'nowrap',
+          textOverflow: 'ellipsis',
+          textDecoration: isDeleted ? 'line-through' : 'none',
+        }}>
+        {text}
+      </Box>
+    )}
+  </Box>
+);
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
new file mode 100644
index 000000000000..2bded9344623
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
@@ -0,0 +1,158 @@
+import {getTypeName, Type} from '@wandb/weave/core';
+import {
+  isWandbArtifactRef,
+  isWeaveObjectRef,
+  ObjectRef,
+  refUri,
+  WeaveObjectRef,
+} from '@wandb/weave/react';
+import React, {FC} from 'react';
+
+import {IconName, IconNames} from '../../../../Icon';
+import {useWeaveflowRouteContext} from '../context';
+import {Link} from '../pages/common/Links';
+import {useWFHooks} from '../pages/wfReactInterface/context';
+import {isObjDeleteError} from '../pages/wfReactInterface/utilities';
+import {
+  ObjectVersionKey,
+  OpVersionKey,
+} from '../pages/wfReactInterface/wfDataModelHooksInterface';
+import {SmallRefBox} from './SmallRefBox';
+import {WFDBTableType} from './types';
+
+const getRootType = (t: Type): Type => {
+  if (
+    (t as any)._base_type != null &&
+    (t as any)._base_type?.type !== 'Object'
+  ) {
+    return getRootType((t as any)._base_type);
+  }
+  return t;
+};
+
+export const objectRefDisplayName = (
+  objRef: ObjectRef,
+  versionIndex?: number
+) => {
+  if (isWandbArtifactRef(objRef)) {
+    const versionStr =
+      versionIndex != null
+        ? `v${versionIndex}`
+        : objRef.artifactVersion.slice(0, 6);
+    let label = `${objRef.artifactName}:${versionStr}`;
+    if (objRef.artifactPath !== 'obj') {
+      label += '/' + objRef.artifactPath;
+    }
+    if (objRef.artifactRefExtra) {
+      // Remove every other extra part
+      const parts = objRef.artifactRefExtra.split('/');
+      const newParts = [];
+      for (let i = 1; i < parts.length; i += 2) {
+        newParts.push(parts[i]);
+      }
+      label += '#' + newParts.join('/');
+    }
+    return {label};
+  } else if (isWeaveObjectRef(objRef)) {
+    const versionStr =
+      versionIndex != null
+        ? `v${versionIndex}`
+        : objRef.artifactVersion.slice(0, 6);
+    let label = `${objRef.artifactName}:${versionStr}`;
+    if (objRef.artifactRefExtra) {
+      label += '/' + objRef.artifactRefExtra;
+    }
+    return {label};
+  }
+  throw new Error('Unknown ref type');
+};
+
+export const SmallWeaveRef: FC<{
+  objRef: WeaveObjectRef;
+  wfTable?: WFDBTableType;
+  iconOnly?: boolean;
+}> = ({objRef, wfTable, iconOnly = false}) => {
+  const {
+    useObjectVersion,
+    useOpVersion,
+    derived: {useRefsType},
+  } = useWFHooks();
+
+  let objVersionKey: ObjectVersionKey | null = null;
+  let opVersionKey: OpVersionKey | null = null;
+
+  if (objRef.weaveKind === 'op') {
+    opVersionKey = {
+      entity: objRef.entityName,
+      project: objRef.projectName,
+      opId: objRef.artifactName,
+      versionHash: objRef.artifactVersion,
+    };
+  } else {
+    objVersionKey = {
+      scheme: 'weave',
+      entity: objRef.entityName,
+      project: objRef.projectName,
+      weaveKind: objRef.weaveKind,
+      objectId: objRef.artifactName,
+      versionHash: objRef.artifactVersion,
+      path: '',
+      refExtra: objRef.artifactRefExtra,
+    };
+  }
+
+  const objectVersion = useObjectVersion(objVersionKey, true);
+  const opVersion = useOpVersion(opVersionKey, true);
+  const isDeleted =
+    isObjDeleteError(objectVersion?.error) ||
+    isObjDeleteError(opVersion?.error);
+  const versionIndex =
+    objectVersion.result?.versionIndex ?? opVersion.result?.versionIndex;
+
+  const {peekingRouter} = useWeaveflowRouteContext();
+  const refTypeQuery = useRefsType([refUri(objRef)]);
+  const refType: Type =
+    refTypeQuery.loading || refTypeQuery.result == null
+      ? 'unknown'
+      : refTypeQuery.result[0];
+  let rootType = getRootType(refType);
+  if (objRef.scheme === 'weave' && objRef.weaveKind === 'op') {
+    // TODO: Why is this necessary? The type is coming back as `objRef`
+    rootType = {type: 'OpDef'};
+  }
+  const {label} = objectRefDisplayName(objRef, versionIndex);
+
+  const rootTypeName = getTypeName(rootType);
+  let icon: IconName = IconNames.CubeContainer;
+  if (rootTypeName === 'Dataset') {
+    icon = IconNames.Table;
+  } else if (rootTypeName === 'Model') {
+    icon = IconNames.Model;
+  } else if (rootTypeName === 'List') {
+    icon = IconNames.List;
+  } else if (rootTypeName === 'OpDef') {
+    icon = IconNames.JobProgramCode;
+  }
+  const Item = (
+    <SmallRefBox
+      iconName={icon}
+      text={label}
+      iconOnly={iconOnly}
+      isDeleted={isDeleted}
+    />
+  );
+
+  if (refTypeQuery.loading || isDeleted) {
+    return Item;
+  }
+  return (
+    <Link
+      $variant="secondary"
+      style={{
+        width: '100%',
+      }}
+      to={peekingRouter.refUIUrl(rootTypeName, objRef, wfTable)}>
+      {Item}
+    </Link>
+  );
+};
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/types.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/types.ts
new file mode 100644
index 000000000000..d4f89f1a3c5d
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/types.ts
@@ -0,0 +1,9 @@
+export type WFDBTableType =
+  | 'Op'
+  | 'OpVersion'
+  | 'Type'
+  | 'TypeVersion'
+  | 'Trace'
+  | 'Call'
+  | 'Object'
+  | 'ObjectVersion';

From 68c4b4cacb9ab4555e7db30e8524cbf863b88e78 Mon Sep 17 00:00:00 2001
From: Griffin Tarpenning <griffin.tarpenning@wandb.com>
Date: Thu, 30 Jan 2025 08:28:37 -0800
Subject: [PATCH 04/43] fix(ui): additional filters lookup the proper operator
 (#3535)

---
 .../PagePanelComponents/Home/Browse3/filters/FilterRow.tsx | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/filters/FilterRow.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/filters/FilterRow.tsx
index 333690383255..be3b1d119ab5 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/filters/FilterRow.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/filters/FilterRow.tsx
@@ -35,8 +35,11 @@ export const FilterRow = ({
     if (item.id == null) {
       onAddFilter(field);
     } else {
-      // TODO: May need to get new operator or value?
-      onUpdateFilter({...item, field});
+      // If this is an additional filter, we need to get new operator
+      // because the default is string
+      const newOperatorOptions = getGroupedOperatorOptions(field);
+      const operator = newOperatorOptions[0].options[0].value;
+      onUpdateFilter({...item, field, operator});
     }
   };
 

From 5f9847d5d487e485b3a19f9986da137dd5bbd3a8 Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Thu, 30 Jan 2025 08:54:43 -0800
Subject: [PATCH 05/43] update costs (#3545)

---
 weave/trace_server/costs/cost_checkpoint.json | 176 ++++++++++++++++++
 1 file changed, 176 insertions(+)

diff --git a/weave/trace_server/costs/cost_checkpoint.json b/weave/trace_server/costs/cost_checkpoint.json
index 4d1547c4f041..3f5335102fce 100644
--- a/weave/trace_server/costs/cost_checkpoint.json
+++ b/weave/trace_server/costs/cost_checkpoint.json
@@ -3253,6 +3253,12 @@
       "input": 1.63e-06,
       "output": 5.51e-06,
       "created_at": "2024-10-08 08:45:39"
+    },
+    {
+      "provider": "bedrock",
+      "input": 8e-07,
+      "output": 2.4e-06,
+      "created_at": "2025-01-30 08:14:14"
     }
   ],
   "bedrock/us-east-1/anthropic.claude-instant-v1": [
@@ -5221,6 +5227,12 @@
       "input": 1e-06,
       "output": 5e-06,
       "created_at": "2024-12-18 09:00:21"
+    },
+    {
+      "provider": "bedrock",
+      "input": 8e-07,
+      "output": 4e-06,
+      "created_at": "2025-01-30 08:14:14"
     }
   ],
   "us.anthropic.claude-3-5-haiku-20241022-v1:0": [
@@ -5229,6 +5241,12 @@
       "input": 1e-06,
       "output": 5e-06,
       "created_at": "2024-12-18 09:00:21"
+    },
+    {
+      "provider": "bedrock",
+      "input": 8e-07,
+      "output": 4e-06,
+      "created_at": "2025-01-30 08:14:14"
     }
   ],
   "eu.anthropic.claude-3-5-haiku-20241022-v1:0": [
@@ -5237,6 +5255,12 @@
       "input": 1e-06,
       "output": 5e-06,
       "created_at": "2024-12-18 09:00:21"
+    },
+    {
+      "provider": "bedrock",
+      "input": 2.5e-07,
+      "output": 1.25e-06,
+      "created_at": "2025-01-30 08:14:14"
     }
   ],
   "us.meta.llama3-1-8b-instruct-v1:0": [
@@ -5582,5 +5606,157 @@
       "output": 4e-06,
       "created_at": "2025-01-13 16:54:01"
     }
+  ],
+  "deepseek/deepseek-reasoner": [
+    {
+      "provider": "deepseek",
+      "input": 5.5e-07,
+      "output": 2.19e-06,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2-vision-1212": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2-vision-latest": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2-vision": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-vision-beta": [
+    {
+      "provider": "xai",
+      "input": 5e-06,
+      "output": 1.5e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2-1212": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "xai/grok-2-latest": [
+    {
+      "provider": "xai",
+      "input": 2e-06,
+      "output": 1e-05,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "gemini-2.0-flash-thinking-exp": [
+    {
+      "provider": "vertex_ai-language-models",
+      "input": 0.0,
+      "output": 0.0,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "gemini/gemini-2.0-flash-thinking-exp": [
+    {
+      "provider": "gemini",
+      "input": 0.0,
+      "output": 0.0,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "openrouter/deepseek/deepseek-r1": [
+    {
+      "provider": "openrouter",
+      "input": 5.5e-07,
+      "output": 2.19e-06,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "ai21.jamba-1-5-large-v1:0": [
+    {
+      "provider": "bedrock",
+      "input": 2e-06,
+      "output": 8e-06,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "ai21.jamba-1-5-mini-v1:0": [
+    {
+      "provider": "bedrock",
+      "input": 2e-07,
+      "output": 4e-07,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "us.amazon.nova-micro-v1:0": [
+    {
+      "provider": "bedrock_converse",
+      "input": 3.5e-08,
+      "output": 1.4e-07,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "us.amazon.nova-lite-v1:0": [
+    {
+      "provider": "bedrock_converse",
+      "input": 6e-08,
+      "output": 2.4e-07,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "us.amazon.nova-pro-v1:0": [
+    {
+      "provider": "bedrock_converse",
+      "input": 8e-07,
+      "output": 3.2e-06,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo": [
+    {
+      "provider": "together_ai",
+      "input": 8.8e-07,
+      "output": 8.8e-07,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free": [
+    {
+      "provider": "together_ai",
+      "input": 0.0,
+      "output": 0.0,
+      "created_at": "2025-01-30 08:14:14"
+    }
+  ],
+  "fireworks_ai/accounts/fireworks/models/llama-v3p1-8b-instruct": [
+    {
+      "provider": "fireworks_ai",
+      "input": 1e-07,
+      "output": 1e-07,
+      "created_at": "2025-01-30 08:14:14"
+    }
   ]
 }
\ No newline at end of file

From 987df26cd8f417acbef0fd178ca3b3b0d599cbdf Mon Sep 17 00:00:00 2001
From: Martin Mark <martin.mark@wandb.com>
Date: Thu, 30 Jan 2025 12:16:30 -0500
Subject: [PATCH 06/43] chore(ui): Drawer title bar editor - expand width and
 make autogrow-able (#3354)

* Switched to StyledTextarea / style / overflow styles

* Lint fix

* Update EditableCallName.tsx

* Lint fix

* Update EditableCallName.tsx

* Update EditableCallName.tsx

* Added auto-focus when selecting the field
---
 .../Browse3/pages/CallPage/CallOverview.tsx   |  18 +--
 .../pages/PlaygroundPage/StyledTextarea.tsx   |   2 +
 .../Browse3/pages/common/EditableCallName.tsx | 107 +++++++++++++++---
 3 files changed, 104 insertions(+), 23 deletions(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallOverview.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallOverview.tsx
index a4033139a8d3..c4e02230fdc2 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallOverview.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallOverview.tsx
@@ -18,13 +18,13 @@ export const Overview = styled.div`
 `;
 Overview.displayName = 'S.Overview';
 
-export const CallName = styled.div`
+export const CallName = styled.div<{$isEditing?: boolean}>`
   font-family: Source Sans Pro;
   font-size: 16px;
   font-weight: 600;
-  line-height: 20px;
-  letter-spacing: 0px;
   text-align: left;
+  word-break: break-all;
+  width: ${props => (props.$isEditing ? '100%' : 'max-content%')};
 `;
 CallName.displayName = 'S.CallName';
 
@@ -45,20 +45,20 @@ export const CallOverview: React.FC<{
   const statusCode = call.rawSpan.status_code;
   const refCall = makeRefCall(call.entity, call.project, call.callId);
   const editableCallDisplayNameRef = React.useRef<EditableField>(null);
+  const [isEditing, setIsEditing] = React.useState(false);
 
   return (
     <>
       <Overview>
         <StatusChip value={statusCode} iconOnly />
-        <CallName>
-          <EditableCallName
-            call={call}
-            editableFieldRef={editableCallDisplayNameRef}
-          />
+        <CallName $isEditing={isEditing}>
+          <EditableCallName call={call} onEditingChange={setIsEditing} />
         </CallName>
         <CopyableId id={call.callId} type="Call" />
         <Spacer />
-        <Reactions weaveRef={refCall} forceVisible={true} />
+        <div>
+          <Reactions weaveRef={refCall} forceVisible={true} />
+        </div>
         <OverflowBin>
           <OverflowMenu
             selectedCalls={[call]}
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx
index 97d6aa7d39ba..ec50b3782c6f 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx
@@ -10,6 +10,7 @@ type TextAreaProps = React.TextareaHTMLAttributes<HTMLTextAreaElement> & {
   maxHeight?: string | number;
   startHeight?: string | number;
   reset?: boolean;
+  rows?: number;
 };
 
 export const StyledTextArea = forwardRef<HTMLTextAreaElement, TextAreaProps>(
@@ -80,6 +81,7 @@ export const StyledTextArea = forwardRef<HTMLTextAreaElement, TextAreaProps>(
     return (
       <Tailwind style={{display: 'contents'}}>
         <textarea
+          rows={props.rows}
           ref={element => {
             if (typeof ref === 'function') {
               ref(element);
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
index fa610de3e496..9dc96e85a727 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
@@ -1,14 +1,16 @@
-import EditableField from '@wandb/weave/common/components/EditableField';
-import React, {useCallback, useEffect, useState} from 'react';
+import {Icon} from '@wandb/weave/components/Icon';
+import {Tailwind} from '@wandb/weave/components/Tailwind';
+import React, {useCallback, useEffect, useRef, useState} from 'react';
 
+import {StyledTextArea} from '../PlaygroundPage/StyledTextarea';
 import {useWFHooks} from '../wfReactInterface/context';
 import {CallSchema} from '../wfReactInterface/wfDataModelHooksInterface';
 import {opNiceName} from './Links';
 
 export const EditableCallName: React.FC<{
   call: CallSchema;
-  editableFieldRef: React.RefObject<EditableField>;
-}> = ({call, editableFieldRef}) => {
+  onEditingChange?: (isEditing: boolean) => void;
+}> = ({call, onEditingChange}) => {
   const defaultDisplayName = opNiceName(call.spanName);
   const displayNameIsEmpty =
     call.displayName == null || call.displayName === '';
@@ -21,13 +23,36 @@ export const EditableCallName: React.FC<{
   const {useCallUpdateFunc: useCallRenameFunc} = useWFHooks();
   const callRename = useCallRenameFunc();
   const [currNameToDisplay, setCurrNameToDisplay] = useState(nameToDisplay);
+  const [isEditing, setIsEditing] = useState(false);
+
+  // Create a ref so we can manually call adjustHeight().
+  const textAreaRef = useRef<HTMLTextAreaElement>(null);
+  const containerRef = useRef<HTMLDivElement>(null);
 
-  // Listen to changes in provided opName, for components that are not unmounted
-  // before the opName changes.
   useEffect(() => {
     setCurrNameToDisplay(nameToDisplay);
   }, [nameToDisplay]);
 
+  useEffect(() => {
+    onEditingChange?.(isEditing);
+
+    // Fire height recalculation specifically when going from isEditing.
+    if (isEditing && textAreaRef.current) {
+      const el = textAreaRef.current;
+      // Fixes issue with size refreshing too quickly since we use scrollHeight for autoGrow.
+      setTimeout(() => {
+        el.style.height = 'auto';
+        const newHeight = el.scrollHeight;
+        el.style.height = `${newHeight}px`;
+        el.style.overflowY = 'hidden';
+        // Focus and move the cursor to the end of the text content
+        el.focus();
+        const textLength = el.value.length;
+        el.setSelectionRange(textLength, textLength);
+      }, 0);
+    }
+  }, [isEditing, onEditingChange]);
+
   const saveName = useCallback(
     (newName: string) => {
       // In the case that `newName` is empty or equal to the default name,
@@ -42,18 +67,72 @@ export const EditableCallName: React.FC<{
         setCurrNameToDisplay(newName);
         callRename(call.entity, call.project, call.callId, newName);
       }
+      setIsEditing(false);
     },
     [defaultDisplayName, call, displayNameIsEmpty, callRename]
   );
 
+  useEffect(() => {
+    if (!isEditing) {
+      return;
+    }
+
+    const handleClickOutside = (event: MouseEvent) => {
+      if (
+        containerRef.current &&
+        !containerRef.current.contains(event.target as Node)
+      ) {
+        saveName(currNameToDisplay);
+      }
+    };
+
+    document.addEventListener('mousedown', handleClickOutside);
+    return () => {
+      document.removeEventListener('mousedown', handleClickOutside);
+    };
+  }, [isEditing, saveName, currNameToDisplay]);
+
+  if (!isEditing) {
+    return (
+      <Tailwind>
+        <div
+          className="group flex cursor-pointer items-center rounded px-[8px] py-[4px] hover:bg-moon-100 dark:hover:bg-moon-800"
+          onClick={() => setIsEditing(true)}>
+          {currNameToDisplay}
+          <Icon
+            name="pencil-edit"
+            width={16}
+            height={16}
+            className="ml-[8px] min-w-[16px] text-moon-500 opacity-0 group-hover:opacity-100"
+          />
+        </div>
+      </Tailwind>
+    );
+  }
+
   return (
-    <EditableField
-      ref={editableFieldRef}
-      className="m-0"
-      value={currNameToDisplay}
-      onFinish={saveName}
-      placeholder={defaultDisplayName}
-      updateValue={true}
-    />
+    <Tailwind>
+      <div className="w-full" ref={containerRef}>
+        <StyledTextArea
+          ref={textAreaRef}
+          value={currNameToDisplay}
+          onChange={e => setCurrNameToDisplay(e.target.value)}
+          onBlur={() => saveName(currNameToDisplay)}
+          onKeyDown={e => {
+            if (e.key === 'Enter' && !e.shiftKey) {
+              e.preventDefault();
+              saveName(currNameToDisplay);
+            } else if (e.key === 'Escape') {
+              setIsEditing(false);
+              setCurrNameToDisplay(nameToDisplay);
+            }
+          }}
+          placeholder={defaultDisplayName}
+          autoGrow={true}
+          rows={1}
+          className="w-full px-[8px] py-[4px]"
+        />
+      </div>
+    </Tailwind>
   );
 };

From e37dd3d34b9ebe943e5c4ae4192a40912cad491e Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Thu, 30 Jan 2025 11:31:43 -0600
Subject: [PATCH 07/43] chore(ui): new Radix based tooltip implementation
 (#3507)

---
 .../components/elements/ModifiedDropdown.tsx  |   4 +-
 weave-js/src/components/ErrorPanel.tsx        |   1 -
 .../FancyPage/FancyPageSidebarSection.tsx     |   2 +-
 .../Home/Browse3/SidebarSection.tsx           |   2 +-
 weave-js/src/components/Panel2/ChildPanel.tsx |   1 -
 .../Panel2/PanelPlot/ConfigDimComponent.tsx   |   4 +-
 .../Panel2/PanelTable/PanelTable.tsx          |   1 -
 weave-js/src/components/Tag/TagTooltip.tsx    |   4 +-
 weave-js/src/components/Timestamp.tsx         |   6 +-
 weave-js/src/components/Tooltip.tsx           | 122 +++++++++++++-----
 10 files changed, 100 insertions(+), 47 deletions(-)

diff --git a/weave-js/src/common/components/elements/ModifiedDropdown.tsx b/weave-js/src/common/components/elements/ModifiedDropdown.tsx
index 943d86813d1b..349b4450e735 100644
--- a/weave-js/src/common/components/elements/ModifiedDropdown.tsx
+++ b/weave-js/src/common/components/elements/ModifiedDropdown.tsx
@@ -1,6 +1,6 @@
 import './ModifiedDropdown.less';
 
-import {Tooltip} from '@wandb/weave/components/Tooltip';
+import {TooltipDeprecated} from '@wandb/weave/components/TooltipDeprecated';
 import _ from 'lodash';
 import memoize from 'memoize-one';
 import React, {
@@ -561,7 +561,7 @@ export const OptionWithTooltip: React.FC<OptionWithTooltipProps> = ({text}) => {
         textOverflow: 'ellipsis',
       }}>
       {showTooltip ? (
-        <Tooltip
+        <TooltipDeprecated
           content={
             <span
               style={{
diff --git a/weave-js/src/components/ErrorPanel.tsx b/weave-js/src/components/ErrorPanel.tsx
index 869459221501..a9e31326f5c4 100644
--- a/weave-js/src/components/ErrorPanel.tsx
+++ b/weave-js/src/components/ErrorPanel.tsx
@@ -91,7 +91,6 @@ export const ErrorPanelSmall = ({
   const subtitle2Str = subtitle2 ?? DEFAULT_SUBTITLE2;
   return (
     <Tooltip
-      position="top center"
       trigger={
         <Circle $size={22} $hoverHighlight={true}>
           <Icon name="warning" width={16} height={16} />
diff --git a/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx b/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
index ead31d264a04..66116fe416ce 100644
--- a/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
+++ b/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
@@ -190,7 +190,7 @@ const FancyPageSidebarSection = (props: FancyPageSidebarSectionProps) => {
               key={item.name}
               content={<span>{item.nameTooltip}</span>}
               trigger={wrapper}
-              position="right center"
+              side="right"
             />
           );
         }
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/SidebarSection.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/SidebarSection.tsx
index 9afe8a770838..ff9d1c9b26de 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/SidebarSection.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/SidebarSection.tsx
@@ -139,7 +139,7 @@ const SidebarSection = (props: SidebarSectionProps) => {
               key={item.name}
               content={<span>{item.nameTooltip}</span>}
               trigger={wrapper}
-              position="right center"
+              side="right"
             />
           );
         }
diff --git a/weave-js/src/components/Panel2/ChildPanel.tsx b/weave-js/src/components/Panel2/ChildPanel.tsx
index 03033c57a0ab..dc483b398111 100644
--- a/weave-js/src/components/Panel2/ChildPanel.tsx
+++ b/weave-js/src/components/Panel2/ChildPanel.tsx
@@ -756,7 +756,6 @@ export const ChildPanel: React.FC<ChildPanelProps> = props => {
                   />
                 )}
                 <Tooltip
-                  position="top center"
                   trigger={
                     <Button
                       variant="ghost"
diff --git a/weave-js/src/components/Panel2/PanelPlot/ConfigDimComponent.tsx b/weave-js/src/components/Panel2/PanelPlot/ConfigDimComponent.tsx
index 7f1eb9d13aa5..92a2ec208b99 100644
--- a/weave-js/src/components/Panel2/PanelPlot/ConfigDimComponent.tsx
+++ b/weave-js/src/components/Panel2/PanelPlot/ConfigDimComponent.tsx
@@ -310,7 +310,7 @@ export const ConfigDimComponent: React.FC<DimComponentInputType> = props => {
           indentation === 0 &&
           (isShared ? (
             <Tooltip
-              position="top right"
+              side="right"
               trigger={
                 <S.ConstrainedIconContainer
                   onClick={() => {
@@ -327,7 +327,7 @@ export const ConfigDimComponent: React.FC<DimComponentInputType> = props => {
             </Tooltip>
           ) : (
             <Tooltip
-              position="top right"
+              side="right"
               trigger={
                 <S.UnconstrainedIconContainer
                   // "sharing" the dimension means constraining it
diff --git a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
index 70d2bc1bc54a..8e581217d3e3 100644
--- a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
+++ b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
@@ -863,7 +863,6 @@ const PanelTableInner: React.FC<
               .map(rowSize => (
                 <Tooltip
                   key={rowSize}
-                  position="top center"
                   content={rowSizeTooltipContent[RowSize[rowSize]]}
                   trigger={
                     <Button
diff --git a/weave-js/src/components/Tag/TagTooltip.tsx b/weave-js/src/components/Tag/TagTooltip.tsx
index e4d562cf6ed6..5603661c9076 100644
--- a/weave-js/src/components/Tag/TagTooltip.tsx
+++ b/weave-js/src/components/Tag/TagTooltip.tsx
@@ -1,7 +1,7 @@
 import React from 'react';
 import {PopupProps} from 'semantic-ui-react';
 
-import {Tooltip} from '../Tooltip';
+import {TooltipDeprecated} from '../TooltipDeprecated';
 
 type TagTooltipProps = React.HTMLAttributes<HTMLElement> &
   PopupProps & {
@@ -12,7 +12,7 @@ type TagTooltipProps = React.HTMLAttributes<HTMLElement> &
 export const TagTooltip = React.forwardRef<HTMLElement, TagTooltipProps>(
   ({value, children, ...passThroughProps}, ref) => {
     return (
-      <Tooltip
+      <TooltipDeprecated
         ref={ref}
         position="top center"
         content={
diff --git a/weave-js/src/components/Timestamp.tsx b/weave-js/src/components/Timestamp.tsx
index 12e8d75349f7..ad21df61daad 100644
--- a/weave-js/src/components/Timestamp.tsx
+++ b/weave-js/src/components/Timestamp.tsx
@@ -85,12 +85,10 @@ export const Timestamp = ({value, format, live = true}: TimestampProps) => {
         live={live}
       />
     );
-    return (
-      <Tooltip position="top center" content={content} trigger={timeago} />
-    );
+    return <Tooltip content={content} trigger={timeago} />;
   }
 
   const {long, short} = formatTimestampInternal(then, format);
   const text = <span>{short}</span>;
-  return <Tooltip position="top center" content={long} trigger={text} />;
+  return <Tooltip content={long} trigger={text} />;
 };
diff --git a/weave-js/src/components/Tooltip.tsx b/weave-js/src/components/Tooltip.tsx
index 35fc97971fef..c64f7c5a8bf7 100644
--- a/weave-js/src/components/Tooltip.tsx
+++ b/weave-js/src/components/Tooltip.tsx
@@ -1,33 +1,91 @@
-import {Popup} from 'semantic-ui-react';
-import styled from 'styled-components';
-
-import {
-  hexToRGB,
-  MOON_650,
-  MOON_800,
-  OBLIVION,
-  WHITE,
-} from '../common/css/globals.styles';
-
-export const Tooltip = styled(Popup).attrs({
-  basic: true, // This removes the pointing arrow.
-  mouseEnterDelay: 500,
-  popperModifiers: {
-    preventOverflow: {
-      // Prevent popper from erroneously constraining the popup.
-      // Without this, tooltips in single row table cells get positioned under the cursor,
-      // causing them to immediately close.
-      boundariesElement: 'viewport',
-    },
-  },
-})`
-  && {
-    color: ${WHITE};
-    background: ${MOON_800};
-    border-color: ${MOON_650};
-    box-shadow: 0px 4px 6px ${hexToRGB(OBLIVION, 0.2)};
-    font-size: 14px;
-    line-height: 140%;
-    max-width: 300px;
+import React, {useState} from 'react';
+
+import {Content, Portal, Provider, Root, Trigger} from './RadixTooltip';
+
+type TooltipPosition =
+  | 'top left'
+  | 'top right'
+  | 'bottom right'
+  | 'bottom left'
+  | 'right center'
+  | 'left center'
+  | 'top center'
+  | 'bottom center';
+
+type Side = 'top' | 'right' | 'bottom' | 'left';
+type Align = 'start' | 'center' | 'end';
+
+type TooltipProps = {
+  /** Primary content. */
+  children?: React.ReactNode;
+
+  content?: React.ReactNode;
+
+  /** Element to be rendered in-place where the popup is defined. */
+  trigger: React.ReactNode;
+
+  side?: Side;
+  align?: Align;
+
+  /** Position for the popover. This is for backwards compatibility. Prefer side/align */
+  position?: TooltipPosition;
+};
+
+type ParsedPosition = {
+  side: Side;
+  align: Align;
+};
+
+const parsePosition = (position?: TooltipPosition): ParsedPosition => {
+  const parsed: ParsedPosition = {
+    side: 'top',
+    align: 'center',
+  };
+  if (position) {
+    const [positionSide, positionAlign] = position.split(' ');
+    parsed.side = positionSide as Side;
+    if (positionAlign) {
+      if (positionAlign === 'center') {
+        parsed.align = 'center';
+      } else if (positionAlign === 'left') {
+        parsed.align = 'start';
+      } else if (positionAlign === 'right') {
+        parsed.align = 'end';
+      }
+    }
   }
-`;
+  return parsed;
+};
+
+export const Tooltip = ({
+  trigger,
+  content,
+  side,
+  align,
+  position,
+  children,
+}: TooltipProps) => {
+  const defaultPosition = parsePosition(position);
+  const [isTooltipOpen, setIsTooltipOpen] = useState(false);
+  return (
+    <Provider>
+      <Root open={isTooltipOpen} onOpenChange={setIsTooltipOpen}>
+        <Trigger asChild>
+          {/* span is needed so tooltip works on disabled buttons */}
+          <span className="[display:inherit]">{trigger}</span>
+        </Trigger>
+        <Portal>
+          <Content
+            style={{
+              // it's hard to state how silly this is, but the zIndex on semantic's modal is 2147483605 - so, that + 1
+              zIndex: 2147483606,
+            }}
+            side={side ?? defaultPosition.side}
+            align={align ?? defaultPosition.align}>
+            {children ?? content}
+          </Content>
+        </Portal>
+      </Root>
+    </Provider>
+  );
+};

From c313be42af632bd37fef5a67c70ad7b7bc59cbc4 Mon Sep 17 00:00:00 2001
From: Tim Sweeney <tim@wandb.com>
Date: Thu, 30 Jan 2025 10:41:30 -0800
Subject: [PATCH 08/43] chore(weave): Improve Guardrails docs v1 (#3520)

* init

* init 2

* Morgans cmments batch 1

* Morgans cmments batch 2

* Morgans cmments batch 3

* Morgans cmments batch 4

* Morgans cmments batch 5

* Morgans cmments batch 6

* Morgans cmments batch 7

* Done

* Cosmetic adjustments

* Cosmetic adjustments 2

* Cosmetic adjustments 3
---
 .../evaluation/guardrails_and_monitors.md     | 520 +++++++++++++++---
 1 file changed, 433 insertions(+), 87 deletions(-)

diff --git a/docs/docs/guides/evaluation/guardrails_and_monitors.md b/docs/docs/guides/evaluation/guardrails_and_monitors.md
index bf526554b2d3..38bfdf2973d9 100644
--- a/docs/docs/guides/evaluation/guardrails_and_monitors.md
+++ b/docs/docs/guides/evaluation/guardrails_and_monitors.md
@@ -5,139 +5,485 @@ import TabItem from '@theme/TabItem';
 
 ![Feedback](./../../../static/img/guardrails_scorers.png)
 
-Weave provides a robust framework for implementing safety controls and monitoring systems in LLM applications through a unified scoring system. This guide explains how to leverage scorers as both guardrails for active intervention and monitors for passive evaluation in production environments.
+## Introduction
 
-## Core Concepts
+Building production LLM applications? Two questions likely keep you up at night:
+1. How do you ensure your LLMs generate safe, appropriate content?
+2. How do you measure and improve output quality over time?
 
-The foundation of Weave's evaluation system is the `Scorer` class. This abstract base class defines a scoring interface through its `score` method, which concrete implementations use to provide specific evaluation metrics. For a comprehensive overview of available metrics and custom scorer implementation, see [Evaluation Metrics](./scorers.md).
+Weave's unified scoring system answers both questions through a simple yet powerful framework. Whether you need active safety controls (guardrails) or passive quality monitoring, this guide will show you how to implement robust evaluation systems for your LLM applications.
 
-Here's a basic example of a custom scorer:
+The foundation of Weave's evaluation system is the [**Scorer**](./scorers.md) - a component that evaluates your function's inputs and outputs to measure quality, safety, or any other metric you care about. Scorers are versatile and can be used in two ways:
+
+- **As Guardrails**: Block or modify unsafe content before it reaches users
+- **As Monitors**: Track quality metrics over time to identify trends and improvements
+
+:::note Terminology
+Throughout this guide, we'll refer to functions decorated with `@weave.op` as "ops". These are regular Python functions that have been enhanced with Weave's tracking capabilities.
+:::
+
+#### Ready-to-Use Scorers
+While this guide shows you how to create custom scorers, Weave comes with a variety of [predefined scorers](./scorers.md#predefined-scorers) that you can use right away, including:
+- [Hallucination detection](./scorers.md#hallucinationfreescorer)
+- [Summarization quality](./scorers.md#summarizationscorer)
+- [Embedding similarity](./scorers.md#embeddingsimilarityscorer)
+- [Relevancy evaluation](./scorers.md#ragas---contextrelevancyscorer)
+- And more!
+
+
+### Guardrails vs. Monitors: When to Use Each
+
+While scorers power both guardrails and monitors, they serve different purposes:
+
+| Aspect | Guardrails | Monitors |
+|--------|------------|----------|
+| **Purpose** | Active intervention to prevent issues | Passive observation for analysis |
+| **Timing** | Real-time, before output reaches users | Can be asynchronous or batched |
+| **Performance** | Must be fast (affects response time) | Can be slower, run in background |
+| **Sampling** | Usually every request | Often sampled (e.g., 10% of calls) |
+| **Control Flow** | Can block/modify outputs | No impact on application flow |
+| **Resource Usage** | Must be efficient | Can use more resources if needed |
+
+For example, a toxicity scorer could be used:
+- 🛡️ **As a Guardrail**: Block toxic content immediately
+- 📊 **As a Monitor**: Track toxicity levels over time
+
+:::note
+Every scorer result is automatically stored in Weave's database. This means your guardrails double as monitors without any extra work! You can always analyze historical scorer results, regardless of how they were originally used.
+:::
+
+### Using the `.call()` Method
+
+To use scorers with Weave ops, you'll need access to both the operation's result and its tracking information. The `.call()` method provides both:
 
 ```python
-class MyScorer(Scorer):
-    def score(self, output: str) -> float:
-        """
-        Evaluate the given result and return a score between 0 and 1.
-        
-        Args:
-            result: The LLM-generated content to evaluate
-            
-        Returns:
-            float: Score indicating quality/safety (0 = fail, 1 = pass)
-        """
-        return 0.8  # Example score
+# Instead of calling the op directly:
+result = generate_text(input)  # Primary way to call the op but doesn't give access to the Call object
+
+# Use the .call() method to get both result and Call object:
+result, call = generate_text.call(input)  # Now you can use the call object with scorers
 ```
 
-### Applying Scorers
+:::tip Why Use `.call()`?
+The Call object is essential for associating the score with the call in the database. While you can directly call the scoring function, this would not be associated with the call, and therefore not searchable, filterable, or exportable for later analysis.
+
+For more details about Call objects, see our [Calls guide section on Call objects](../tracking/tracing.mdx#getting-a-handle-to-the-call-object-during-execution).
+:::
+
+## Getting Started with Scorers
 
-Scorers are applied to operations using the `apply_scorer` method, which returns an `ApplyScorerResult`:
+### Basic Example
+
+Here's a simple example showing how to use `.call()` with a scorer:
 
 ```python
-@dataclass
-class ApplyScorerSuccess:
-    result: Any  # The original operation result
-    score_call: Call  # The scoring operation call object
+import weave
+from weave import Scorer
+
+class LengthScorer(Scorer):
+    @weave.op
+    def score(self, output: str) -> dict:
+        """A simple scorer that checks output length."""
+        return {
+            "length": len(output),
+            "is_short": len(output) < 100
+        }
+
+@weave.op
+def generate_text(prompt: str) -> str:
+    return "Hello, world!"
+
+# Get both result and Call object
+result, call = generate_text.call("Say hello")
+
+# Now you can apply scorers
+await call.apply_scorer(LengthScorer())
 ```
 
-Basic scorer application:
+## Using Scorers as Guardrails
 
-```python
-# Get both operation result and Call object
-result, call = op.call(user_input)
+Guardrails act as safety checks that run before allowing LLM output to reach users. Here's a practical example:
 
-# Apply scorer and get evaluation results
-evaluation = await call.apply_scorer(scorer)
+```python
+import weave
+from weave import Scorer
+
+@weave.op
+def generate_text(prompt: str) -> str:
+    """Generate text using an LLM."""
+    # Your LLM generation logic here
+    return "Generated response..."
+
+class ToxicityScorer(Scorer):
+    @weave.op
+    def score(self, output: str) -> dict:
+        """
+        Evaluate content for toxic language.
+        """
+        # Your toxicity detection logic here
+        return {
+            "flagged": False,  # True if content is toxic
+            "reason": None     # Optional explanation if flagged
+        }
+
+async def generate_safe_response(prompt: str) -> str:
+    # Get result and Call object
+    result, call = generate_text.call(prompt)
+    
+    # Check safety
+    safety = await call.apply_scorer(ToxicityScorer())
+    if safety.result["flagged"]:
+        return f"I cannot generate that content: {safety.result['reason']}"
+    
+    return result
 ```
 
-:::important
-Always use `op.call(user_input)` rather than direct invocation (`op(user_input)`) when working with scorers. This method returns both the operation result and a `Call` object required for scorer application.
+:::note Scorer Timing
+When applying scorers:
+- The main operation (`generate_text`) completes and is marked as finished in the UI
+- Scorers run asynchronously after the main operation
+- Scorer results are attached to the call once they complete
+- You can view scorer results in the UI or query them via the API
 :::
 
-## Guardrails
+## Using Scorers as Monitors
 
-Guardrails provide active safety mechanisms by evaluating LLM outputs in real-time and intervening based on scorer results. They are essential for preventing inappropriate or harmful content generation in production systems.
-
-### Implementation
+Monitors help track quality metrics over time without blocking operations. This is useful for:
+- Identifying quality trends
+- Detecting model drift
+- Gathering data for model improvements
 
 ```python
-async def process_with_guardrail(user_input: str) -> str:
-    """
-    Process user input with safety guardrails.
+import weave
+from weave import Scorer
+from weave.scorers import ValidJSONScorer, ValidXMLScorer
+
+import random
+
+@weave.op
+def generate_text(prompt: str) -> str:
+    """Generate text using an LLM."""
+    return "Generated response..."
+
+async def generate_with_monitoring(prompt: str) -> str:
+    # Get both the result and tracking information
+    result, call = generate_text.call(prompt)
     
-    Args:
-        user_input: The user's input to process
-        
-    Returns:
-        str: Processed result if guardrail passes, fallback response if it fails
-    """
-    result, call = op.call(user_input)
-    evaluation = await call.apply_scorer(guardrail)
+    # Sample monitoring (only monitor 10% of calls)
+    if random.random() < 0.1:
+        # Monitor multiple aspects asynchronously
+        await call.apply_scorer(ValidJSONScorer())
+        await call.apply_scorer(ValidXMLScorer())
     
-    if evaluation.score < 0.5:
-        return handle_failed_guardrail(result)
     return result
 ```
 
-## Monitors
+## Implementation Details
 
-While guardrails provide active intervention, monitors offer passive evaluation and tracking of LLM operations. They are crucial for long-term quality assurance and system improvement.
+### The Scorer Interface
 
-### Implementation
+A scorer is a class that inherits from `Scorer` and implements a `score` method. The method receives:
+- `output`: The result from your function
+- Any input parameters matching your function's parameters
+
+Here's a comprehensive example:
 
 ```python
-async def monitored_operation(user_input: str, sampling_rate: float = 0.25) -> str:
-    """
-    Execute operation with monitoring.
-    
-    Args:
-        user_input: The input to process
-        sampling_rate: Percentage of operations to monitor (0.0 to 1.0)
+@weave.op
+def generate_styled_text(prompt: str, style: str, temperature: float) -> str:
+    """Generate text in a specific style."""
+    return "Generated text in requested style..."
+
+class StyleScorer(Scorer):
+    @weave.op
+    def score(self, output: str, prompt: str, style: str) -> dict:
+        """
+        Evaluate if the output matches the requested style.
         
-    Returns:
-        str: Operation result
-    """
-    result, call = op.call(user_input)
-    
-    # Apply monitoring based on sampling rate
-    if random.random() < sampling_rate:
-        await call.apply_scorer(scorer)
+        Args:
+            output: The generated text (automatically provided)
+            prompt: Original prompt (matched from function input)
+            style: Requested style (matched from function input)
+        """
+        return {
+            "style_match": 0.9,  # How well it matches requested style
+            "prompt_relevance": 0.8  # How relevant to the prompt
+        }
+
+# Example usage
+async def generate_and_score():
+    # Generate text with style
+    result, call = generate_styled_text.call(
+        prompt="Write a story",
+        style="noir",
+        temperature=0.7
+    )
     
-    return result
+    # Score the result
+    score = await call.apply_scorer(StyleScorer())
+    print(f"Style match score: {score.result['style_match']}")
 ```
 
-:::caution Performance Considerations
-Scorer evaluations execute synchronously on the same machine as the operation. For high-throughput production environments, consider adjusting sampling rates based on load. Weave will soon support server-side scoring for high-throughput applications.
-:::
+### Score Parameters
 
-## Analysis and Observability
+#### Parameter Matching Rules
+- The `output` parameter is special and always contains the function's result
+- Other parameters must match the function's parameter names exactly
+- Scorers can use any subset of the function's parameters
+- Parameter types should match the function's type hints
 
-### Accessing Scorer Results
+#### Handling Parameter Name Mismatches
 
-All scorer results are automatically logged as Feedback records in Weave, accessible through multiple interfaces:
+Sometimes your scorer's parameter names might not match your function's parameter names exactly. For example:
 
-1. **UI Dashboard**: Access detailed scoring history in the Call details page
-2. **Call Tables**: Filter and analyze scores across operations
-3. **Programmatic Access**: Query results through API endpoints
+```python
+@weave.op
+def generate_text(user_input: str):  # Uses 'user_input'
+    return process(user_input)
 
-![Feedback](./../../../static/img/guardrails_scorers.png)
+class QualityScorer(Scorer):
+    @weave.op
+    def score(self, output: str, prompt: str):  # Expects 'prompt'
+        """Evaluate response quality."""
+        return {"quality_score": evaluate_quality(prompt, output)}
+
+result, call = generate_text.call(user_input="Say hello")
+
+# Map 'prompt' parameter to 'user_input'
+scorer = QualityScorer(column_map={"prompt": "user_input"})
+await call.apply_scorer(scorer)
+```
+
+Common use cases for `column_map`:
+- Different naming conventions between functions and scorers
+- Reusing scorers across different functions
+- Using third-party scorers with your function names
+
+
+#### Adding Additional Parameters
+
+Sometimes scorers need extra parameters that aren't part of your function. You can provide these using `additional_scorer_kwargs`:
+
+```python
+class ReferenceScorer(Scorer):
+    @weave.op
+    def score(self, output: str, reference_answer: str):
+        """Compare output to a reference answer."""
+        similarity = compute_similarity(output, reference_answer)
+        return {"matches_reference": similarity > 0.8}
+
+# Provide the reference answer as an additional parameter
+await call.apply_scorer(
+    ReferenceScorer(),
+    additional_scorer_kwargs={
+        "reference_answer": "The Earth orbits around the Sun."
+    }
+)
+```
+
+This is useful when your scorer needs context or configuration that isn't part of the original function call.
+
+
+### Using Scorers: Two Approaches
+
+1. **With Weave's Op System** (Recommended)
+```python
+result, call = generate_text.call(input)
+score = await call.apply_scorer(MyScorer())
+```
+
+2. **Direct Usage** (Quick Experiments)
+```python
+scorer = MyScorer()
+score = scorer.score(output="some text")
+```
+
+**When to use each:**
+- 👉 Use the op system for production, tracking, and analysis
+- 👉 Use direct scoring for quick experiments or one-off evaluations
+
+**Tradeoffs of Direct Usage:**
+- ✅ Simpler for quick tests
+- ✅ No Op required
+- ❌ No association with the LLM/Op call
+
+## Production Best Practices
 
-### Data Access Examples
+### 1. Set Appropriate Sampling Rates
+```python
+@weave.op
+def generate_text(prompt: str) -> str:
+    return generate_response(prompt)
+
+async def generate_with_sampling(prompt: str) -> str:
+    result, call = generate_text.call(prompt)
+    
+    # Only monitor 10% of calls
+    if random.random() < 0.1:
+        await call.apply_scorer(ToxicityScorer())
+        await call.apply_scorer(QualityScorer())
+    
+    return result
+```
 
-#### HTTP API
+### 2. Monitor Multiple Aspects
 ```python
-calls = client.server.calls_query_stream({
-    # ... your filters
-    "include_feedback": True,  # Include all scorer results
-})
+async def evaluate_comprehensively(call):
+    await call.apply_scorer(ToxicityScorer())
+    await call.apply_scorer(QualityScorer())
+    await call.apply_scorer(LatencyScorer())
 ```
+### 3. Analyze and Improve
+- Review trends in the Weave Dashboard
+- Look for patterns in low-scoring outputs
+- Use insights to improve your LLM system
+- Set up alerts for concerning patterns (coming soon)
+
+### 4. Access Historical Data
+
+Scorer results are stored with their associated calls and can be accessed through:
+- The Call object's `feedback` field
+- The Weave Dashboard
+- Our query APIs
+
+For detailed information about querying calls and their scorer results, see our [Data Access Guide](/guides/tracking/tracing#querying--exporting-calls).
+
+### 5. Initialize Guards Efficiently
+
+For optimal performance, especially with locally-run models, initialize your guards outside of the main function. This pattern is particularly important when:
+- Your scorers load ML models
+- You're using local LLMs where latency is critical
+- Your scorers maintain network connections
+- You have high-traffic applications
+
+See the Complete Example section below for a demonstration of this pattern.
+
+:::caution Performance Tips
+For Guardrails:
+- Keep logic simple and fast
+- Consider caching common results
+- Avoid heavy external API calls
+- Initialize guards outside of your main functions to avoid repeated initialization costs
+
+For Monitors:
+- Use sampling to reduce load
+- Can use more complex logic
+- Can make external API calls
+:::
+
+## Complete Example
+
+Here's a comprehensive example that brings together all the concepts we've covered:
 
-#### Python SDK
 ```python
-# Retrieve comprehensive feedback data for a specific call
-call = client.get_call(call_id)
-feedback_data = call.feedback
+import weave
+from weave import Scorer
+import asyncio
+import random
+from typing import Optional
+
+class ToxicityScorer(Scorer):
+    def __init__(self):
+        # Initialize any expensive resources here
+        self.model = load_toxicity_model()
+    
+    @weave.op
+    async def score(self, output: str) -> dict:
+        """Check content for toxic language."""
+        try:
+            result = await self.model.evaluate(output)
+            return {
+                "flagged": result.is_toxic,
+                "reason": result.explanation if result.is_toxic else None
+            }
+        except Exception as e:
+            # Log error and default to conservative behavior
+            print(f"Toxicity check failed: {e}")
+            return {"flagged": True, "reason": "Safety check unavailable"}
+
+class QualityScorer(Scorer):
+    @weave.op
+    async def score(self, output: str, prompt: str) -> dict:
+        """Evaluate response quality and relevance."""
+        return {
+            "coherence": evaluate_coherence(output),
+            "relevance": evaluate_relevance(output, prompt),
+            "grammar": evaluate_grammar(output)
+        }
+
+# Initialize scorers at module level (optional optimization)
+toxicity_guard = ToxicityScorer()
+quality_monitor = QualityScorer()
+relevance_monitor = RelevanceScorer()
+
+@weave.op
+def generate_text(
+    prompt: str,
+    style: Optional[str] = None,
+    temperature: float = 0.7
+) -> str:
+    """Generate an LLM response."""
+    # Your LLM generation logic here
+    return "Generated response..."
+
+async def generate_safe_response(
+    prompt: str,
+    style: Optional[str] = None,
+    temperature: float = 0.7
+) -> str:
+    """Generate a response with safety checks and quality monitoring."""
+    try:
+        # Generate initial response
+        result, call = generate_text.call(
+            prompt=prompt,
+            style=style,
+            temperature=temperature
+        )
+
+        # Apply safety check (guardrail)
+        safety = await call.apply_scorer(toxicity_guard)
+        if safety.result["flagged"]:
+            return f"I cannot generate that content: {safety.result['reason']}"
+
+        # Sample quality monitoring (10% of requests)
+        if random.random() < 0.1:
+            # Run quality checks in parallel
+            await asyncio.gather(
+                call.apply_scorer(quality_monitor),
+                call.apply_scorer(relevance_monitor)
+            )
+        
+        return result
+
+    except Exception as e:
+        # Log error and return user-friendly message
+        print(f"Generation failed: {e}")
+        return "I'm sorry, I encountered an error. Please try again."
+
+# Example usage
+async def main():
+    # Basic usage
+    response = await generate_safe_response("Tell me a story")
+    print(f"Basic response: {response}")
+    
+    # Advanced usage with all parameters
+    response = await generate_safe_response(
+        prompt="Tell me a story",
+        style="noir",
+        temperature=0.8
+    )
+    print(f"Styled response: {response}")
+
 ```
 
+This example demonstrates:
+- Proper scorer initialization and error handling
+- Combined use of guardrails and monitors
+- Async operation with parallel scoring
+- Production-ready error handling and logging
+
 ## Next Steps
 
-- Deep dive into [Evaluation Metrics](./scorers.md)
+- Explore [Available Scorers](./scorers.md)
+- Learn about [Weave Ops](../../guides/tracking/ops.md)
+

From 1cf8e0a8df6a2e5e612a8c1fdf11227ad3f57e05 Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Thu, 30 Jan 2025 11:14:47 -0800
Subject: [PATCH 09/43] chore(weave): update model providers, add azure (#3542)

* update model providers, with azure

* remove optional
---
 weave/trace_server/llm_completion.py          |  37 +-
 .../model_providers/model_providers.json      | 380 ++++++++++++++++++
 .../model_providers/model_providers.py        |  10 +-
 3 files changed, 422 insertions(+), 5 deletions(-)

diff --git a/weave/trace_server/llm_completion.py b/weave/trace_server/llm_completion.py
index 3c23d6e14b33..610edd419b83 100644
--- a/weave/trace_server/llm_completion.py
+++ b/weave/trace_server/llm_completion.py
@@ -16,6 +16,7 @@ def lite_llm_completion(
     provider: Optional[str] = None,
 ) -> tsi.CompletionsCreateRes:
     aws_access_key_id, aws_secret_access_key, aws_region_name = None, None, None
+    azure_api_base, azure_api_version = None, None
     if provider == "bedrock" or provider == "bedrock_converse":
         aws_access_key_id, aws_secret_access_key, aws_region_name = (
             get_bedrock_credentials(inputs.model)
@@ -27,6 +28,8 @@ def lite_llm_completion(
     # XAI models don't support response_format
     elif provider == "xai":
         inputs.response_format = None
+    elif provider == "azure" or provider == "azure_ai":
+        azure_api_base, azure_api_version = get_azure_credentials(inputs.model)
 
     import litellm
 
@@ -40,6 +43,8 @@ def lite_llm_completion(
             aws_access_key_id=aws_access_key_id,
             aws_secret_access_key=aws_secret_access_key,
             aws_region_name=aws_region_name,
+            api_base=azure_api_base,
+            api_version=azure_api_version,
         )
         return tsi.CompletionsCreateRes(response=res.model_dump())
     except Exception as e:
@@ -50,7 +55,7 @@ def lite_llm_completion(
 
 def get_bedrock_credentials(
     model_name: str,
-) -> tuple[Optional[str], Optional[str], Optional[str]]:
+) -> tuple[str, str, str]:
     secret_fetcher = _secret_fetcher_context.get()
     if not secret_fetcher:
         raise InvalidRequest(
@@ -89,3 +94,33 @@ def get_bedrock_credentials(
         )
 
     return aws_access_key_id, aws_secret_access_key, aws_region_name
+
+
+def get_azure_credentials(model_name: str) -> tuple[str, str]:
+    secret_fetcher = _secret_fetcher_context.get()
+    if not secret_fetcher:
+        raise InvalidRequest(
+            f"No secret fetcher found, cannot fetch API key for model {model_name}"
+        )
+
+    azure_api_base = (
+        secret_fetcher.fetch("AZURE_API_BASE").get("secrets", {}).get("AZURE_API_BASE")
+    )
+    if not azure_api_base:
+        raise MissingLLMApiKeyError(
+            f"No Azure API base found for model {model_name}",
+            api_key_name="AZURE_API_BASE",
+        )
+
+    azure_api_version = (
+        secret_fetcher.fetch("AZURE_API_VERSION")
+        .get("secrets", {})
+        .get("AZURE_API_VERSION")
+    )
+    if not azure_api_version:
+        raise MissingLLMApiKeyError(
+            f"No Azure API version found for model {model_name}",
+            api_key_name="AZURE_API_VERSION",
+        )
+
+    return azure_api_base, azure_api_version
diff --git a/weave/trace_server/model_providers/model_providers.json b/weave/trace_server/model_providers/model_providers.json
index e49c740ca187..e44960adf0fe 100644
--- a/weave/trace_server/model_providers/model_providers.json
+++ b/weave/trace_server/model_providers/model_providers.json
@@ -1,4 +1,16 @@
 {
+  "omni-moderation-latest": {
+    "litellm_provider": "openai",
+    "api_key_name": "OPENAI_API_KEY"
+  },
+  "omni-moderation-latest-intents": {
+    "litellm_provider": "openai",
+    "api_key_name": "OPENAI_API_KEY"
+  },
+  "omni-moderation-2024-09-26": {
+    "litellm_provider": "openai",
+    "api_key_name": "OPENAI_API_KEY"
+  },
   "gpt-4": {
     "litellm_provider": "openai",
     "api_key_name": "OPENAI_API_KEY"
@@ -11,6 +23,10 @@
     "litellm_provider": "openai",
     "api_key_name": "OPENAI_API_KEY"
   },
+  "gpt-4o-audio-preview-2024-12-17": {
+    "litellm_provider": "openai",
+    "api_key_name": "OPENAI_API_KEY"
+  },
   "gpt-4o-audio-preview-2024-10-01": {
     "litellm_provider": "openai",
     "api_key_name": "OPENAI_API_KEY"
@@ -271,6 +287,294 @@
     "litellm_provider": "openai",
     "api_key_name": "OPENAI_API_KEY"
   },
+  "azure/tts-1": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/tts-1-hd": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/whisper-1": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/o1-mini": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/o1-mini-2024-09-12": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/o1": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/o1-preview": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/o1-preview-2024-09-12": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o-2024-08-06": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o-2024-11-20": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o-2024-05-13": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/global-standard/gpt-4o-2024-08-06": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/global-standard/gpt-4o-2024-11-20": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/global-standard/gpt-4o-mini": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o-mini": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4o-mini-2024-07-18": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-turbo-2024-04-09": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-0125-preview": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-1106-preview": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-0613": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-32k-0613": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-32k": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-turbo": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-4-turbo-vision-preview": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-16k-0613": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-1106": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-0613": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-0301": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-0125": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo-16k": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/gpt-35-turbo": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/mistral-large-latest": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/mistral-large-2402": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/command-r-plus": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/ada": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/text-embedding-ada-002": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/text-embedding-3-large": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/text-embedding-3-small": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/standard/1024-x-1024/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/hd/1024-x-1024/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/standard/1024-x-1792/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/standard/1792-x-1024/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/hd/1024-x-1792/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/hd/1792-x-1024/dall-e-3": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure/standard/1024-x-1024/dall-e-2": {
+    "litellm_provider": "azure",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/jamba-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/mistral-large": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/mistral-small": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/mistral-large-2407": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/ministral-3b": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Llama-3.2-11B-Vision-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Llama-3.3-70B-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Llama-3.2-90B-Vision-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Meta-Llama-3-70B-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Meta-Llama-3.1-8B-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Meta-Llama-3.1-70B-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Meta-Llama-3.1-405B-Instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3.5-mini-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3.5-vision-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3.5-MoE-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-mini-4k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-mini-128k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-small-8k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-small-128k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-medium-4k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Phi-3-medium-128k-instruct": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/cohere-rerank-v3-multilingual": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/cohere-rerank-v3-english": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Cohere-embed-v3-english": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
+  "azure_ai/Cohere-embed-v3-multilingual": {
+    "litellm_provider": "azure_ai",
+    "api_key_name": "AZURE_API_KEY"
+  },
   "claude-instant-1": {
     "litellm_provider": "anthropic",
     "api_key_name": "ANTHROPIC_API_KEY"
@@ -279,6 +583,34 @@
     "litellm_provider": "xai",
     "api_key_name": "XAI_API_KEY"
   },
+  "xai/grok-2-vision-1212": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-2-vision-latest": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-2-vision": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-vision-beta": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-2-1212": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-2": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
+  "xai/grok-2-latest": {
+    "litellm_provider": "xai",
+    "api_key_name": "XAI_API_KEY"
+  },
   "groq/llama-3.3-70b-versatile": {
     "litellm_provider": "groq",
     "api_key_name": "GEMMA_API_KEY"
@@ -391,6 +723,14 @@
     "litellm_provider": "anthropic",
     "api_key_name": "ANTHROPIC_API_KEY"
   },
+  "gemini/gemini-2.0-flash-exp": {
+    "litellm_provider": "gemini",
+    "api_key_name": "GOOGLE_API_KEY"
+  },
+  "gemini/gemini-2.0-flash-thinking-exp": {
+    "litellm_provider": "gemini",
+    "api_key_name": "GOOGLE_API_KEY"
+  },
   "gemini/gemini-1.5-flash-002": {
     "litellm_provider": "gemini",
     "api_key_name": "GOOGLE_API_KEY"
@@ -483,6 +823,14 @@
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "ai21.jamba-1-5-large-v1:0": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
+  "ai21.jamba-1-5-mini-v1:0": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "amazon.titan-text-lite-v1": {
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
@@ -567,14 +915,26 @@
     "litellm_provider": "bedrock_converse",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "us.amazon.nova-micro-v1:0": {
+    "litellm_provider": "bedrock_converse",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "amazon.nova-lite-v1:0": {
     "litellm_provider": "bedrock_converse",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "us.amazon.nova-lite-v1:0": {
+    "litellm_provider": "bedrock_converse",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "amazon.nova-pro-v1:0": {
     "litellm_provider": "bedrock_converse",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "us.amazon.nova-pro-v1:0": {
+    "litellm_provider": "bedrock_converse",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "anthropic.claude-3-sonnet-20240229-v1:0": {
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
@@ -895,6 +1255,10 @@
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "meta.llama3-3-70b-instruct-v1:0": {
+    "litellm_provider": "bedrock_converse",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "meta.llama2-13b-chat-v1": {
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
@@ -1059,8 +1423,24 @@
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
   },
+  "stability.sd3-5-large-v1:0": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
+  "stability.stable-image-core-v1:0": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
+  "stability.stable-image-core-v1:1": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
+  },
   "stability.stable-image-ultra-v1:0": {
     "litellm_provider": "bedrock",
     "api_key_name": "BEDROCK_API_KEY"
+  },
+  "stability.stable-image-ultra-v1:1": {
+    "litellm_provider": "bedrock",
+    "api_key_name": "BEDROCK_API_KEY"
   }
 }
\ No newline at end of file
diff --git a/weave/trace_server/model_providers/model_providers.py b/weave/trace_server/model_providers/model_providers.py
index 773ce34841c2..7fe44b6fdc08 100644
--- a/weave/trace_server/model_providers/model_providers.py
+++ b/weave/trace_server/model_providers/model_providers.py
@@ -11,12 +11,14 @@
 
 PROVIDER_TO_API_KEY_NAME_MAP = {
     "anthropic": "ANTHROPIC_API_KEY",
-    "gemini": "GOOGLE_API_KEY",
-    "openai": "OPENAI_API_KEY",
-    "fireworks": "FIREWORKS_API_KEY",
-    "groq": "GEMMA_API_KEY",
+    "azure": "AZURE_API_KEY",
+    "azure_ai": "AZURE_API_KEY",
     "bedrock": "BEDROCK_API_KEY",
     "bedrock_converse": "BEDROCK_API_KEY",
+    "fireworks": "FIREWORKS_API_KEY",
+    "gemini": "GOOGLE_API_KEY",
+    "groq": "GEMMA_API_KEY",
+    "openai": "OPENAI_API_KEY",
     "xai": "XAI_API_KEY",
 }
 

From a9f8adb8fa39c39e10b02f1e20f84208acf564f1 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Thu, 30 Jan 2025 13:43:18 -0600
Subject: [PATCH 10/43] chore(ui): add missing field to TraceObjSchema (#3549)

---
 .../Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts | 1 +
 .../Browse3/pages/wfReactInterface/traceServerClientTypes.ts     | 1 +
 2 files changed, 2 insertions(+)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts
index ebc161e322ab..4134fe8745b9 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts
@@ -51,6 +51,7 @@ describe('Type Tests', () => {
           project_id: '',
           object_id: '',
           created_at: '',
+          deleted_at: null,
           digest: '',
           version_index: 0,
           is_latest: 0,
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts
index 71ef70fae928..9a72476ff8f4 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts
@@ -217,6 +217,7 @@ export interface TraceObjSchema<
   project_id: string;
   object_id: string;
   created_at: string;
+  deleted_at: string | null;
   digest: string;
   version_index: number;
   is_latest: number;

From 3dc9c50a891c84e7b64220aff1af01a715d5f0c1 Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Thu, 30 Jan 2025 13:15:16 -0800
Subject: [PATCH 11/43] add grok2 and gemini flash 2 (#3543)

---
 .../pages/PlaygroundPage/llmMaxTokens.ts      | 25 +++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
index a6ee834f5cfb..fd2af6cec157 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
@@ -196,6 +196,16 @@ export const LLM_MAX_TOKENS = {
     max_tokens: 8192,
     supports_function_calling: true,
   },
+  'gemini/gemini-2.0-flash-exp': {
+    provider: 'gemini',
+    max_tokens: 8192,
+    supports_function_calling: true,
+  },
+  'gemini/gemini-2.0-flash-thinking-exp': {
+    provider: 'gemini',
+    max_tokens: 8192,
+    supports_function_calling: true,
+  },
 
   // Groq models
   'groq/gemma-7b-it': {
@@ -387,6 +397,21 @@ export const LLM_MAX_TOKENS = {
     provider: 'xai',
     supports_function_calling: true,
   },
+  'xai/grok-2-1212': {
+    max_tokens: 131072,
+    provider: 'xai',
+    supports_function_calling: true,
+  },
+  'xai/grok-2': {
+    max_tokens: 131072,
+    provider: 'xai',
+    supports_function_calling: true,
+  },
+  'xai/grok-2-latest': {
+    max_tokens: 131072,
+    provider: 'xai',
+    supports_function_calling: true,
+  },
 };
 
 export type LLMMaxTokensKey = keyof typeof LLM_MAX_TOKENS;

From ae0644aaa019f59b81412eb88409cac038abbc8a Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Thu, 30 Jan 2025 13:39:49 -0800
Subject: [PATCH 12/43] chore(weave): add azure openai models to playground
 (#3544)

* add azure models to playground

* typo

* remove non openai models
---
 .../pages/PlaygroundPage/llmMaxTokens.ts      | 59 +++++++++++++++++++
 1 file changed, 59 insertions(+)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
index fd2af6cec157..a6ff47137f30 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts
@@ -125,6 +125,63 @@ export const LLM_MAX_TOKENS = {
     supports_function_calling: true,
   },
 
+  // Azure models
+  'azure/o1-mini': {
+    provider: 'azure',
+    max_tokens: 65536,
+    supports_function_calling: true,
+  },
+  'azure/o1-mini-2024-09-12': {
+    provider: 'azure',
+    max_tokens: 65536,
+    supports_function_calling: true,
+  },
+  'azure/o1': {
+    provider: 'azure',
+    max_tokens: 100000,
+    supports_function_calling: true,
+  },
+  'azure/o1-preview': {
+    provider: 'azure',
+    max_tokens: 32768,
+    supports_function_calling: true,
+  },
+  'azure/o1-preview-2024-09-12': {
+    provider: 'azure',
+    max_tokens: 32768,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o': {
+    provider: 'azure',
+    max_tokens: 4096,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o-2024-08-06': {
+    provider: 'azure',
+    max_tokens: 16384,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o-2024-11-20': {
+    provider: 'azure',
+    max_tokens: 16384,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o-2024-05-13': {
+    provider: 'azure',
+    max_tokens: 4096,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o-mini': {
+    provider: 'azure',
+    max_tokens: 16384,
+    supports_function_calling: true,
+  },
+  'azure/gpt-4o-mini-2024-07-18': {
+    max_tokens: 16384,
+    provider: 'azure',
+    supports_function_calling: true,
+  },
+
   // Gemini models
   'gemini/gemini-1.5-flash-001': {
     provider: 'gemini',
@@ -423,6 +480,7 @@ export const LLM_MAX_TOKENS_KEYS: LLMMaxTokensKey[] = Object.keys(
 export const LLM_PROVIDERS = [
   'openai',
   'anthropic',
+  'azure',
   'gemini',
   'groq',
   'bedrock',
@@ -435,6 +493,7 @@ export const LLM_PROVIDER_LABELS: Record<
 > = {
   openai: 'OpenAI',
   anthropic: 'Anthropic',
+  azure: 'Azure',
   gemini: 'Google Gemini',
   groq: 'Groq',
   bedrock: 'AWS Bedrock',

From d1cba43bcbd9ed9391030cf80c0fe7b8303c578c Mon Sep 17 00:00:00 2001
From: Erica Diaz <156136421+ericakdiaz@users.noreply.github.com>
Date: Thu, 30 Jan 2025 16:23:01 -0800
Subject: [PATCH 13/43] chore(app): Handle dark mode in ToggleButtonGroup
 (#3528)

---
 weave-js/src/components/ToggleButtonGroup.tsx | 66 ++++++++++---------
 1 file changed, 35 insertions(+), 31 deletions(-)

diff --git a/weave-js/src/components/ToggleButtonGroup.tsx b/weave-js/src/components/ToggleButtonGroup.tsx
index 9ef756f4c3eb..7f7f5ac42cf1 100644
--- a/weave-js/src/components/ToggleButtonGroup.tsx
+++ b/weave-js/src/components/ToggleButtonGroup.tsx
@@ -57,7 +57,7 @@ export const ToggleButtonGroup = React.forwardRef<
           type="single" // supports single selection only
           value={value}
           onValueChange={handleValueChange}
-          className={twMerge('flex gap-px', className)}
+          className="flex gap-px"
           ref={ref}>
           {options.map(
             ({
@@ -66,36 +66,40 @@ export const ToggleButtonGroup = React.forwardRef<
               isDisabled: optionIsDisabled,
               iconOnly = false,
             }) => (
-              <ToggleGroup.Item
-                key={optionValue}
-                value={optionValue}
-                disabled={isDisabled}
-                asChild>
-                <Button
-                  icon={icon}
-                  size={size}
-                  className={twMerge(
-                    size === 'small' &&
-                      (icon ? 'gap-4 px-4 py-3 text-sm' : 'px-8 py-3 text-sm'),
-                    size === 'medium' &&
-                      (icon
-                        ? 'gap-5 px-7 py-4 text-base'
-                        : 'px-10 py-4 text-base'),
-                    size === 'large' &&
-                      (icon
-                        ? 'gap-6 px-10 py-8 text-base'
-                        : 'px-12 py-8 text-base'),
-                    (isDisabled || optionIsDisabled) &&
-                      'cursor-auto opacity-35',
-                    value === optionValue
-                      ? 'bg-teal-300/[0.48] text-teal-600 hover:bg-teal-300/[0.48]'
-                      : 'hover:bg-oblivion/7 bg-oblivion/5 text-moon-600 hover:text-moon-800',
-                    'first:rounded-l-sm', // First button rounded left
-                    'last:rounded-r-sm' // Last button rounded right
-                  )}>
-                  {!iconOnly ? optionValue : <></>}
-                </Button>
-              </ToggleGroup.Item>
+              <div className="group" key={optionValue}>
+                <ToggleGroup.Item
+                  key={optionValue}
+                  value={optionValue}
+                  disabled={isDisabled}
+                  asChild>
+                  <Button
+                    icon={icon}
+                    size={size}
+                    className={twMerge(
+                      'night-aware',
+                      size === 'small' &&
+                        (icon
+                          ? 'gap-4 px-4 py-3 text-sm'
+                          : 'px-8 py-3 text-sm'),
+                      size === 'medium' &&
+                        (icon
+                          ? 'gap-5 px-7 py-4 text-base'
+                          : 'px-10 py-4 text-base'),
+                      size === 'large' &&
+                        (icon
+                          ? 'gap-6 px-10 py-8 text-base'
+                          : 'px-12 py-8 text-base'),
+                      (isDisabled || optionIsDisabled) &&
+                        'cursor-auto opacity-35',
+                      value === optionValue
+                        ? 'bg-teal-300/[0.48] text-teal-600 hover:bg-teal-300/[0.48] dark:bg-teal-700/[0.48] dark:text-teal-400'
+                        : 'hover:bg-oblivion/7 bg-oblivion/5 text-moon-600 hover:text-moon-800 dark:bg-moonbeam/[0.05] hover:dark:bg-teal-700/[0.48] hover:dark:text-teal-400',
+                      'rounded-none group-first:rounded-l-sm group-first:rounded-r-none group-last:rounded-l-none group-last:rounded-r-sm'
+                    )}>
+                    {!iconOnly ? optionValue : <></>}
+                  </Button>
+                </ToggleGroup.Item>
+              </div>
             )
           )}
         </ToggleGroup.Root>

From d7e19f64780bac80c082c465f6ce7257f55ffea7 Mon Sep 17 00:00:00 2001
From: Marie Barr-Ramsey <126013019+mbarrramsey@users.noreply.github.com>
Date: Thu, 30 Jan 2025 16:32:21 -0800
Subject: [PATCH 14/43] add icon drag grip change (#3550)

---
 weave-js/src/assets/icons/icon-drag-grip.svg | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/weave-js/src/assets/icons/icon-drag-grip.svg b/weave-js/src/assets/icons/icon-drag-grip.svg
index 5a34d1c4b436..3a7f3ca58641 100644
--- a/weave-js/src/assets/icons/icon-drag-grip.svg
+++ b/weave-js/src/assets/icons/icon-drag-grip.svg
@@ -1,8 +1,8 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M16.5 6.5C17.3284 6.5 18 5.82843 18 5C18 4.17157 17.3284 3.5 16.5 3.5C15.6716 3.5 15 4.17157 15 5C15 5.82843 15.6716 6.5 16.5 6.5Z" fill="currentColor"/>
-<path d="M9 12C9 12.8284 8.32843 13.5 7.5 13.5C6.67157 13.5 6 12.8284 6 12C6 11.1716 6.67157 10.5 7.5 10.5C8.32843 10.5 9 11.1716 9 12Z" fill="currentColor"/>
-<path d="M18 19C18 19.8284 17.3284 20.5 16.5 20.5C15.6716 20.5 15 19.8284 15 19C15 18.1716 15.6716 17.5 16.5 17.5C17.3284 17.5 18 18.1716 18 19Z" fill="currentColor"/>
-<path d="M7.5 6.5C8.32843 6.5 9 5.82843 9 5C9 4.17157 8.32843 3.5 7.5 3.5C6.67157 3.5 6 4.17157 6 5C6 5.82843 6.67157 6.5 7.5 6.5Z" fill="currentColor"/>
-<path d="M9 19C9 19.8284 8.32843 20.5 7.5 20.5C6.67157 20.5 6 19.8284 6 19C6 18.1716 6.67157 17.5 7.5 17.5C8.32843 17.5 9 18.1716 9 19Z" fill="currentColor"/>
-<path d="M16.5 13.5C17.3284 13.5 18 12.8284 18 12C18 11.1716 17.3284 10.5 16.5 10.5C15.6716 10.5 15 11.1716 15 12C15 12.8284 15.6716 13.5 16.5 13.5Z" fill="currentColor"/>
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" shape-rendering="geometricPrecision" preserveAspectRatio="xMidYMid meet">
+  <path d="M17.5 5C17.5 5.55228 17.0523 6 16.5 6C15.9477 6 15.5 5.55228 15.5 5C15.5 4.44772 15.9477 4 16.5 4C17.0523 4 17.5 4.44772 17.5 5Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
+  <path d="M8.5 12C8.5 12.5523 8.05228 13 7.5 13C6.94772 13 6.5 12.5523 6.5 12C6.5 11.4477 6.94772 11 7.5 11C8.05228 11 8.5 11.4477 8.5 12Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
+  <path d="M17.5 19C17.5 19.5523 17.0523 20 16.5 20C15.9477 20 15.5 19.5523 15.5 19C15.5 18.4477 15.9477 18 16.5 18C17.0523 18 17.5 18.4477 17.5 19Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
+  <path d="M8.5 5C8.5 5.55228 8.05229 6 7.5 6C6.94772 6 6.5 5.55228 6.5 5C6.5 4.44772 6.94772 4 7.5 4C8.05229 4 8.5 4.44772 8.5 5Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
+  <path d="M8.5 19C8.5 19.5523 8.05229 20 7.5 20C6.94772 20 6.5 19.5523 6.5 19C6.5 18.4477 6.94772 18 7.5 18C8.05229 18 8.5 18.4477 8.5 19Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
+  <path d="M17.5 12C17.5 12.5523 17.0523 13 16.5 13C15.9477 13 15.5 12.5523 15.5 12C15.5 11.4477 15.9477 11 16.5 11C17.0523 11 17.5 11.4477 17.5 12Z" fill="currentColor" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" vector-effect="non-scaling-stroke"/>
 </svg>

From 10e530a17c182a3e58105713ed578d55f49bc694 Mon Sep 17 00:00:00 2001
From: Tim Sweeney <tim@wandb.com>
Date: Thu, 30 Jan 2025 17:17:39 -0800
Subject: [PATCH 15/43] chore(weave): Setup Dev Bot (#3552)

* init

* init

* init

* lint

* init

* init

* checkpoint

* faster

* lint

* lint 2

* Rate Limits

* Fixed hang

* Added dry run

* Ok, now we are close

* Ok, now we are close

* Ok, now we are close

* Ok, now we are close

* super duper close

* lint

* lint
---
 .github/workflows/slack-digest.yml |  45 ++
 gh_actions/slack_digest.py         | 902 +++++++++++++++++++++++++++++
 2 files changed, 947 insertions(+)
 create mode 100644 .github/workflows/slack-digest.yml
 create mode 100644 gh_actions/slack_digest.py

diff --git a/.github/workflows/slack-digest.yml b/.github/workflows/slack-digest.yml
new file mode 100644
index 000000000000..c0515ab57dd4
--- /dev/null
+++ b/.github/workflows/slack-digest.yml
@@ -0,0 +1,45 @@
+name: Weekly Slack Digest
+
+on:
+  # Disable until we are confident this works
+  # schedule:
+  #   - cron: '0 14 * * 1'  # Every Monday at 6 AM PST (14:00 UTC)
+  workflow_dispatch:
+    inputs:
+      channel:
+        description: 'Slack channel to post to'
+        required: false
+        default: 'weave-dev-digest'
+      days:
+        description: 'Number of days to look back'
+        required: false
+        default: '7'
+      extra_args:
+        description: 'Extra arguments to pass to the script (make this concrete after testing)'
+        required: false
+        default: ''
+
+jobs:
+  notify:
+    name: python
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      # Recommended uv setup: https://docs.astral.sh/uv/guides/integration/github/
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+        with:
+          # Install a specific version of uv.
+          version: "0.5.25"
+
+      - name: Send Digest
+        env:
+          SLACK_TOKEN: ${{ secrets.WEAVE_DEV_BOT_SLACK_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          uv run gh_actions/slack_digest.py --slack \
+            --channel "${{ github.event.inputs.channel || 'weave-dev-digest' }}" \
+            --days "${{ github.event.inputs.days || '7' }}" \
+            --extra-args "${{ github.event.inputs.extra_args || '' }}"
diff --git a/gh_actions/slack_digest.py b/gh_actions/slack_digest.py
new file mode 100644
index 000000000000..bd2222c5e415
--- /dev/null
+++ b/gh_actions/slack_digest.py
@@ -0,0 +1,902 @@
+"""
+GitHub Activity Digest Generator
+
+This module generates comprehensive activity digests for GitHub repositories, with optional Slack integration.
+It tracks commits, pull requests, and categorizes changes across different areas of the codebase.
+
+Features:
+- Tracks recent commits and pull requests
+- Categorizes changes (docs, tests, server, UI, SDKs, etc.)
+- Formats output for both console and Slack
+- Handles GitHub API rate limiting
+- Supports parallel processing for better performance
+
+Usage:
+    As a script:
+        $ uv run gh_actions/slack_digest.py  # Console output
+        $ uv run gh_actions/slack_digest.py --slack --channel weave-dev-digest  # Slack output
+
+    As a GitHub Action:
+        See .github/workflows/slack-digest.yml
+
+Environment Variables:
+    GITHUB_TOKEN: GitHub API token (required)
+    SLACK_TOKEN: Slack API token (required for Slack output)
+
+Dependencies are managed through the script directive:
+"""
+
+# /// script
+# dependencies = [
+#   "slack-sdk>=3.0.0",
+#   "PyGithub",
+#   "rich",
+#   "python-dateutil",
+#   "pytz",
+#   "tabulate[widechars]",
+# ]
+# ///
+
+from __future__ import annotations
+
+import argparse
+import logging
+import os
+import re
+import time
+from concurrent.futures import Future, ThreadPoolExecutor, as_completed
+from dataclasses import dataclass
+from datetime import datetime, timedelta
+from re import Pattern
+from typing import Any, Callable, Protocol
+
+import pytz
+import urllib3
+from github import Github, GithubException, RateLimitExceededException
+from rich.console import Console
+from rich.progress import (
+    BarColumn,
+    Progress,
+    SpinnerColumn,
+    TaskProgressColumn,
+    TextColumn,
+)
+from slack_sdk import WebClient
+from slack_sdk.errors import SlackApiError
+from tabulate import tabulate
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+console = Console()
+
+# Define a set of distinct colors for users
+COLORS = [
+    "bright_red",
+    "bright_green",
+    "bright_yellow",
+    "bright_blue",
+    "bright_magenta",
+    "bright_cyan",
+    "orange3",
+    "purple",
+    "turquoise2",
+    "deep_pink2",
+    "spring_green1",
+    "dark_orange",
+    "deep_sky_blue1",
+]
+
+
+@dataclass
+class CategoryRule:
+    """Rule for determining if a file belongs to a category.
+
+    Attributes:
+        name: Display name (e.g., "Docs")
+        column_header: Short name for table header (e.g., "📚")
+        emoji: Emoji indicator for visual representation
+        matcher: Rule can be either a regex pattern or a callback function
+    """
+
+    name: str
+    column_header: str
+    emoji: str
+    matcher: Pattern | Callable[[str], bool]
+
+
+# Define all categories with their rules
+CATEGORIES = [
+    CategoryRule(
+        name="Documentation",
+        column_header="Docs",
+        emoji="📚",
+        matcher=re.compile(r"^docs/"),
+    ),
+    CategoryRule(
+        name="Tests",
+        column_header="Tests",
+        emoji="🧪",
+        matcher=lambda path: "test" in path,
+    ),
+    CategoryRule(
+        name="Server",
+        column_header="Server",
+        emoji="🤖",
+        matcher=re.compile(r"^weave/trace_server/"),
+    ),
+    CategoryRule(
+        name="UI",
+        column_header="UI",
+        emoji="🎨",
+        matcher=re.compile(
+            r"^weave-js/src/components/PagePanelComponents/Home/Browse3/"
+        ),
+    ),
+    CategoryRule(
+        name="TypeScript SDK",
+        column_header="TS",
+        emoji="📦",
+        matcher=re.compile(r"^sdks/node/"),
+    ),
+    CategoryRule(
+        name="Python SDK",
+        column_header="Py",
+        emoji="🐍",
+        matcher=lambda path: path.startswith("weave/")
+        and not path.startswith("weave/trace_server/"),
+    ),
+]
+
+
+@dataclass
+class FileCategories:
+    """Tracks which categories a set of files belongs to.
+
+    This class analyzes files against predefined category rules and maintains
+    a mapping of which categories match the files.
+
+    Attributes:
+        matches: Dictionary mapping category names to boolean match results
+    """
+
+    matches: dict[str, bool]
+
+    @classmethod
+    def analyze(
+        cls, files: list[Any], categories: list[CategoryRule] = CATEGORIES
+    ) -> FileCategories:
+        """Analyze files against all category rules.
+
+        Args:
+            files: List of GitHub file objects to analyze
+            categories: List of category rules to check against (defaults to CATEGORIES)
+
+        Returns:
+            FileCategories instance with match results
+        """
+        matches = {}
+        paths = {f.filename for f in files}
+
+        for category in categories:
+            matches[category.name] = any(
+                category.matcher.match(path)
+                if isinstance(category.matcher, Pattern)
+                else category.matcher(path)
+                for path in paths
+            )
+
+        return cls(matches)
+
+    def get_emoji(self, category_name: str) -> str:
+        """Get emoji for category if it matches.
+
+        Args:
+            category_name: Name of the category to get emoji for
+
+        Returns:
+            Category emoji if matched, empty string otherwise
+        """
+        if not self.matches.get(category_name):
+            return ""
+        for cat in CATEGORIES:
+            if cat.name == category_name:
+                return cat.emoji
+        return ""
+
+
+class SlackNotifier:
+    def __init__(self, token: str):
+        """Initialize Slack notifier with authentication token."""
+        self.client = WebClient(token=token)
+
+    def validate_channel(self, channel: str) -> str:
+        """Validate and format Slack channel name."""
+        if not channel:
+            raise ValueError("Channel name cannot be empty")
+        return f"#{channel.lstrip('#')}"
+
+    def send_message(self, channel: str, message: str) -> bool:
+        """Send a single message to specified Slack channel."""
+        channel = self.validate_channel(channel)
+        try:
+            self.client.chat_postMessage(channel=channel, text=message)
+            print(f"Message sent to {channel}:")
+            print(message)
+        except SlackApiError as e:
+            logger.exception(f"Failed to send message: {e.response['error']}")
+            raise
+        return True
+
+
+class GitHubDigest:
+    """Handles GitHub repository activity reporting."""
+
+    def __init__(
+        self,
+        token: str,
+        repo: str,
+        days: int = 7,
+        branch: str = "master",
+        local_mode: bool = True,
+    ):
+        """Initialize GitHub digest generator.
+
+        Args:
+            token: GitHub API token
+            repo: Repository name in format 'owner/repo'
+            days: Number of days to look back
+            branch: Branch to analyze
+            local_mode: Whether to show progress bars (True for local runs)
+        """
+        # Configure connection pool for parallel requests
+        self.pool_manager = urllib3.PoolManager(maxsize=32)
+        self.github = Github(token, pool_size=32, retry=3)
+        self.repo = self.github.get_repo(repo)
+        self.days = days
+        self.branch = branch
+        self.local_mode = local_mode
+        self.progress = None
+        self._last_rate_check = 0
+        self._rate_limit_remaining = None
+
+    def _get_progress(self) -> Progress | None:
+        """Get progress indicator if in local mode."""
+        if not self.local_mode:
+            return None
+
+        if not self.progress:
+            self.progress = Progress(
+                SpinnerColumn(),
+                TextColumn("[progress.description]{task.description}"),
+                BarColumn(),
+                TaskProgressColumn(),
+                console=console,
+            )
+        return self.progress
+
+    def _should_check_rate_limit(self) -> bool:
+        """Determine if we should check rate limit again."""
+        now = time.time()
+        # Only check rate limit every 60 seconds unless we know we're low
+        if self._rate_limit_remaining is None or self._rate_limit_remaining < 100:
+            # Check more frequently if we're running low
+            return (now - self._last_rate_check) > 5
+        return (now - self._last_rate_check) > 60
+
+    def _handle_rate_limit(self):
+        """Handle GitHub API rate limit by waiting if needed."""
+        if not self._should_check_rate_limit():
+            return
+
+        self._last_rate_check = time.time()
+        rate_limit = self.github.get_rate_limit()
+        self._rate_limit_remaining = rate_limit.core.remaining
+
+        if rate_limit.core.remaining == 0:
+            reset_timestamp = rate_limit.core.reset.timestamp()
+            sleep_time = reset_timestamp - time.time() + 1  # Add 1 second buffer
+            if sleep_time > 0:
+                logger.warning(
+                    f"Rate limit reached. Waiting {sleep_time:.1f} seconds..."
+                )
+                time.sleep(sleep_time)
+                self._rate_limit_remaining = None  # Force a recheck after waiting
+
+    def analyze_paths(self, files) -> FileCategories:
+        """Analyze file paths to determine which categories were modified."""
+        return FileCategories.analyze(files)
+
+    def format_line_diff(self, additions: int, deletions: int) -> str:
+        """Format the line differences in a compact way."""
+
+        def format_number(n: int) -> str:
+            """Format a number compactly using K/M suffixes."""
+            if n >= 1_000_000:
+                return f"{n/1_000_000:.0f}M"  # Remove decimal for millions
+            elif n >= 1_000:
+                return f"{n/1_000:.0f}K"  # Remove decimal for thousands
+            return str(n)
+
+        # Format with no space between +/- to save space
+        return f"+{format_number(additions)}/-{format_number(deletions)}"
+
+    def process_items_parallel(
+        self, items: list[Any], processor, description: str
+    ) -> list[tuple[Any, Exception | None]]:
+        """Process items in parallel using a thread pool."""
+        results: list[tuple[Any, Exception | None]] = []
+        cpu_count = os.cpu_count()
+        max_workers = min(32, (cpu_count or 1) * 4)
+
+        with ThreadPoolExecutor(max_workers=max_workers) as executor:
+            futures: dict[Future, Any] = {}
+
+            # Submit all items at once, only checking rate limit periodically
+            for item in items:
+                try:
+                    if len(futures) % 10 == 0:  # Check rate limit every 10 items
+                        self._handle_rate_limit()
+                    futures[executor.submit(processor, item)] = item
+                except GithubException as e:
+                    logger.exception(f"GitHub API error while submitting item: {e}")
+                    results.append((item, e))
+
+            progress = self._get_progress()
+            if progress is not None:
+                task = progress.add_task(description, total=len(items))
+
+            for future in as_completed(futures):
+                try:
+                    result = future.result()
+                    results.append((result, None))
+                except RateLimitExceededException:
+                    original_item = futures[future]
+                    try:
+                        self._handle_rate_limit()
+                        # Retry the item
+                        result = processor(original_item)
+                        results.append((result, None))
+                    except Exception as e:
+                        results.append((original_item, e))
+                        logger.exception(
+                            f"Error processing item after rate limit retry: {e}"
+                        )
+                except GithubException as e:
+                    original_item = futures[future]
+                    results.append((original_item, e))
+                    logger.exception(f"GitHub API error: {e}")
+                except Exception as e:
+                    original_item = futures[future]
+                    results.append((original_item, e))
+                    logger.exception(f"Unexpected error: {e}")
+
+                if progress is not None:
+                    progress.update(task, advance=1)
+
+        return results
+
+    def truncate_title(self, title: str, max_length: int = 64) -> str:
+        """Truncate title to specified length, adding ellipsis if needed."""
+        if len(title) <= max_length:
+            return title
+        return title[: max_length - 3] + "..."
+
+    def _get_base_row_data(
+        self, item: Any, date_field: str, stats_source: Any = None
+    ) -> dict:
+        """Extract common row data from a GitHub item (commit or PR).
+
+        Args:
+            item: GitHub item (commit or PR)
+            date_field: Name of the date field to use, can be a dot-separated path
+            stats_source: Optional separate object to get stats from (for commits)
+
+        Returns:
+            Dictionary containing common row data
+        """
+        # Handle nested attribute access for date field
+        current = item
+        for attr in date_field.split("."):
+            current = getattr(current, attr)
+        date = current.strftime("%Y-%m-%d %H:%M")
+
+        # Use stats from stats_source if provided, otherwise from item
+        stats_obj = stats_source if stats_source is not None else item
+
+        return {
+            "date": date,
+            "line_diff": self.format_line_diff(
+                stats_obj.stats.additions, stats_obj.stats.deletions
+            ),
+            "files": str(stats_obj.stats.total),
+            "url": stats_obj.html_url,
+        }
+
+    def _create_table_section(
+        self,
+        title: str,
+        items: list,
+        processor: Callable,
+        headers: list[str],
+        description: str,
+        sort_by_date: bool = True,
+    ) -> Section:
+        """Create a table section from items.
+
+        Args:
+            title: Section title
+            items: List of items to process
+            processor: Function to process each item
+            headers: Table headers
+            description: Progress description
+            sort_by_date: Whether to sort rows by date descending (default: True)
+
+        Returns:
+            Formatted Section object
+        """
+        results = self.process_items_parallel(items, processor, description)
+
+        rows = []
+        for processed, error in results:
+            if error is not None:
+                logger.warning(f"Skipping item due to error: {error}")
+                continue
+
+            categories = processed["categories"]
+            row = [
+                processed["date"],
+                processed["author"],
+                processed["message" if "message" in processed else "title"],
+                processed["line_diff"],
+                processed["files"],
+            ]
+            # Add category columns consistently
+            row.extend(categories.get_emoji(cat.name) for cat in CATEGORIES)
+            row.append(processed["url"])
+            rows.append(row)
+
+        # Sort rows by date descending if requested
+        if sort_by_date and rows:
+            rows.sort(key=lambda x: x[0], reverse=True)
+
+        return Section(title=title, headers=headers, rows=rows)
+
+    def process_commit(self, commit):
+        """Process a single commit into row data.
+
+        Args:
+            commit: GitHub Commit object
+
+        Returns:
+            Dictionary containing processed commit data
+        """
+        # Pass the outer commit object as stats_source since it contains the stats
+        base_data = self._get_base_row_data(
+            commit.commit,  # GitCommit object for author/date
+            "author.date",
+            stats_source=commit,  # Outer commit object for stats
+        )
+        base_data.update(
+            {
+                "author": commit.author.login if commit.author else "Unknown",
+                "message": self.truncate_title(commit.commit.message.split("\n")[0]),
+                "categories": FileCategories.analyze(commit.files),
+            }
+        )
+        return base_data
+
+    def process_pr(self, pr):
+        """Process a single PR into row data."""
+        base_data = {
+            "date": pr.updated_at.strftime("%Y-%m-%d %H:%M"),
+            "line_diff": self.format_line_diff(pr.additions, pr.deletions),
+            "files": str(pr.changed_files),
+            "url": pr.html_url,
+        }
+        base_data.update(
+            {
+                "author": pr.user.login,
+                "title": self.truncate_title(pr.title),
+                "categories": self.analyze_paths(pr.get_files()),
+                "draft": pr.draft,
+            }
+        )
+        return base_data
+
+    def _create_commit_section(self, commits) -> Section:
+        """Create a section for commit information."""
+        headers = ["Date Merged", "Author", "Message", "Line Diff", "Files"]
+        headers.extend(cat.column_header for cat in CATEGORIES)
+        headers.append("Link")
+
+        return self._create_table_section(
+            title="Recent Commits",
+            items=commits,
+            processor=self.process_commit,
+            headers=headers,
+            description="Processing commits...",
+        )
+
+    def _create_pr_sections(self, prs) -> tuple[Section, Section]:
+        """Create sections for pull requests."""
+        headers = ["Last Updated", "Author", "Title", "Line Diff", "Files"]
+        headers.extend(cat.column_header for cat in CATEGORIES)
+        headers.append("Link")
+
+        # Sort PRs by updated_at descending
+        sorted_prs = sorted(prs, key=lambda x: x.updated_at, reverse=True)
+        results = self.process_items_parallel(
+            sorted_prs, self.process_pr, "Processing pull requests..."
+        )
+
+        ready_rows = []
+        draft_rows = []
+        for processed, error in results:
+            if error is not None:
+                logger.warning(f"Skipping PR due to error: {error}")
+                continue
+
+            categories = processed["categories"]
+            row = [
+                processed["date"],
+                processed["author"],
+                processed["title"],
+                processed["line_diff"],
+                processed["files"],
+            ]
+            row.extend(categories.get_emoji(cat.name) for cat in CATEGORIES)
+            row.append(processed["url"])
+
+            if processed["draft"]:
+                draft_rows.append(row)
+            else:
+                ready_rows.append(row)
+
+        # Sort both ready and draft rows by date descending
+        ready_rows.sort(key=lambda x: x[0], reverse=True)
+        draft_rows.sort(key=lambda x: x[0], reverse=True)
+
+        ready_section = Section(
+            title="Open Pull Requests - Ready for Review",
+            headers=headers,
+            rows=ready_rows,
+        )
+
+        draft_section = Section(
+            title="Open Pull Requests - In Progress", headers=headers, rows=draft_rows
+        )
+
+        return ready_section, draft_section
+
+    def collect_sections(self) -> list[Section]:
+        """Collect all sections with their data."""
+        since_date = datetime.now(pytz.UTC) - timedelta(days=self.days)
+        end_date = datetime.now(pytz.UTC)
+
+        try:
+            # Get recent activity with rate limit handling
+            self._handle_rate_limit()
+            commits = list(self.repo.get_commits(since=since_date, sha=self.branch))
+
+            self._handle_rate_limit()
+            prs = [
+                pr
+                for pr in self.repo.get_pulls(state="open")
+                if pr.updated_at >= since_date
+            ]
+
+        except RateLimitExceededException:
+            logger.exception("Rate limit exceeded while fetching initial data")
+            self._handle_rate_limit()
+            # Retry once after waiting
+            commits = list(self.repo.get_commits(since=since_date, sha=self.branch))
+            prs = [
+                pr
+                for pr in self.repo.get_pulls(state="open")
+                if pr.updated_at >= since_date
+            ]
+        except GithubException as e:
+            logger.exception(f"GitHub API error: {e}")
+            raise
+
+        # Create header section with date range and bold formatting
+        header = Section(
+            title=f"**Activity Report for {self.repo.full_name}**\n{since_date.strftime('%Y-%m-%d')} to {end_date.strftime('%Y-%m-%d')} (Last {self.days} days)",
+            headers=[],
+            rows=[],
+        )
+
+        # Create data sections
+        commit_section = self._create_commit_section(commits)
+        ready_prs, draft_prs = self._create_pr_sections(prs)
+
+        return [header, commit_section, ready_prs, draft_prs]
+
+
+@dataclass
+class Section:
+    """A section of the digest containing a table and metadata.
+
+    Attributes:
+        title: Section heading
+        headers: List of column headers
+        rows: List of row data
+        footer: Optional footer text
+    """
+
+    title: str
+    headers: list[str]
+    rows: list[list[Any]]
+    footer: str = ""
+
+
+class DigestFormatter(Protocol):
+    """Protocol for formatting digest sections.
+
+    This protocol defines the interface that all digest formatters must implement
+    to provide consistent output formatting across different output types.
+    """
+
+    def format_section(self, section: Section) -> str:
+        """Format a single section.
+
+        Args:
+            section: Section to format
+
+        Returns:
+            Formatted section string
+        """
+        ...
+
+    def format_digest(self, sections: list[Section]) -> str:
+        """Format the complete digest.
+
+        Args:
+            sections: List of sections to format
+
+        Returns:
+            Complete formatted digest string
+        """
+        ...
+
+
+class TabulateFormatter:
+    """Formats digest sections using tabulate.
+
+    This formatter creates GitHub-flavored markdown tables using the tabulate library.
+    It ensures consistent formatting across all sections while maintaining readability.
+    """
+
+    def format_section(self, section: Section) -> str:
+        """Format a single section using tabulate.
+
+        Args:
+            section: Section to format
+
+        Returns:
+            Formatted section with title, table, and optional footer
+        """
+        table = tabulate(
+            section.rows,
+            headers=section.headers,
+            tablefmt="pipe",  # Use GitHub-style markdown tables
+            numalign="left",  # Left align numbers
+            stralign="left",  # Left align strings
+        )
+        parts = [section.title, "", table]
+        if section.footer:
+            parts.extend(["", section.footer])
+        return "\n".join(parts)
+
+    def format_digest(self, sections: list[Section]) -> str:
+        """Format the complete digest.
+
+        Args:
+            sections: List of sections to format
+
+        Returns:
+            Complete formatted digest as a string
+        """
+        formatted_sections = [self.format_section(section) for section in sections]
+        return "\n\n".join(formatted_sections)
+
+
+class DigestOutput(Protocol):
+    """Protocol for outputting the digest.
+
+    This protocol defines the interface that all output handlers must implement
+    to provide consistent output behavior across different destinations.
+    """
+
+    def send(self, content: str) -> None:
+        """Send the digest to the output destination.
+
+        Args:
+            content: Formatted digest content to send
+
+        Raises:
+            Any implementation-specific exceptions
+        """
+        pass
+
+
+class ConsoleOutput:
+    """Output digest to console using rich formatting."""
+
+    def __init__(self, console: Console = console):
+        """Initialize console output.
+
+        Args:
+            console: Rich console instance for output (defaults to global console)
+        """
+        self.console = console
+
+    def send(self, content: str) -> None:
+        """Send content to console with markdown code block formatting.
+
+        Args:
+            content: Formatted digest content to display
+        """
+        self.console.print("```")
+        self.console.print(content)
+        self.console.print("```")
+
+
+class SlackOutput:
+    """Output digest to Slack, handling message size limits.
+
+    This class handles splitting large messages into appropriate chunks
+    and ensures proper formatting is maintained across message boundaries.
+    Respects both Slack's character limit (4000) and line limit for readability.
+    """
+
+    def __init__(
+        self,
+        token: str,
+        channel: str,
+        max_lines_per_block: int = 25,
+        max_chars_per_block: int = 4000,
+    ):
+        """Initialize Slack output handler.
+
+        Args:
+            token: Slack API token
+            channel: Target Slack channel
+            max_lines_per_block: Maximum lines per message block (default: 25)
+            max_chars_per_block: Maximum characters per message block (default: 4000)
+        """
+        self.notifier = SlackNotifier(token)
+        self.channel = channel
+        self.MAX_LINES_PER_BLOCK = max_lines_per_block
+        self.MAX_CHARS_PER_BLOCK = max_chars_per_block
+
+    def send(self, content: str) -> None:
+        """Send content to Slack, splitting into appropriate chunks.
+
+        The content is split into chunks that respect:
+        1. Table boundaries (don't split in middle of table)
+        2. Slack's character limit (4000)
+        3. Line limit for readability (25)
+        Tables are wrapped in code blocks for proper formatting.
+
+        Args:
+            content: Formatted digest content to send
+
+        Raises:
+            SlackApiError: If there's an error sending to Slack
+        """
+        lines = content.split("\n")
+        current_chunk: list[str] = []
+        current_char_count = 0
+        in_table = False
+
+        for line in lines:
+            is_table_line = bool(line.strip()) and line.strip()[0] in "|+-"
+            line_length = len(line) + 1  # +1 for newline
+
+            # Start new chunk if:
+            # 1. Current chunk is too long (lines), or
+            # 2. Adding this line would exceed character limit, or
+            # 3. We're transitioning between table and non-table content
+            if (
+                len(current_chunk) >= self.MAX_LINES_PER_BLOCK
+                or current_char_count + line_length > self.MAX_CHARS_PER_BLOCK
+                or (current_chunk and is_table_line != in_table)
+            ):
+                self._send_chunk(current_chunk, in_table)
+                current_chunk = []
+                current_char_count = 0
+
+            current_chunk.append(line)
+            current_char_count += line_length
+            in_table = is_table_line
+
+        if current_chunk:
+            self._send_chunk(current_chunk, in_table)
+
+    def _send_chunk(self, lines: list[str], is_table: bool) -> None:
+        """Send a chunk of lines to Slack.
+
+        Args:
+            lines: List of lines to send
+            is_table: Whether the chunk contains table content
+
+        Raises:
+            SlackApiError: If there's an error sending to Slack
+        """
+        if not lines:
+            return
+
+        content = "\n".join(lines)
+        if is_table:
+            content = f"```\n{content}\n```"
+
+        # Verify final size is within limits (including code block markers if table)
+        if len(content) > self.MAX_CHARS_PER_BLOCK:
+            logger.warning(
+                f"Chunk exceeds character limit ({len(content)} > {self.MAX_CHARS_PER_BLOCK})"
+            )
+
+        self.notifier.send_message(self.channel, content)
+
+
+def main():
+    """Main entry point for both CLI and Action modes."""
+    parser = argparse.ArgumentParser(description="Generate GitHub activity digest")
+    parser.add_argument(
+        "--channel", default="weave-dev-digest", help="Slack channel name"
+    )
+    parser.add_argument(
+        "--repo", default="wandb/weave", help="Repository name (owner/repo)"
+    )
+    parser.add_argument(
+        "--days", type=int, default=7, help="Number of days to look back"
+    )
+    parser.add_argument("--branch", default="master", help="Branch to analyze")
+    parser.add_argument(
+        "--slack",
+        action="store_true",
+        help="Send digest to Slack (default: print to console)",
+    )
+
+    args = parser.parse_args()
+
+    # Get required tokens
+    github_token = os.getenv("GITHUB_TOKEN")
+    if not github_token:
+        raise ValueError("GITHUB_TOKEN environment variable is required")
+
+    try:
+        # Generate digest
+        digest = GitHubDigest(
+            token=github_token,
+            repo=args.repo,
+            days=args.days,
+            branch=args.branch,
+            local_mode=True,
+        )
+
+        # Collect and format sections
+        sections = digest.collect_sections()
+        formatter = TabulateFormatter()
+        content = formatter.format_digest(sections)
+
+        # Output the digest
+        if args.slack:
+            slack_token = os.getenv("SLACK_TOKEN")
+            if not slack_token:
+                raise ValueError("SLACK_TOKEN environment variable is required")
+
+            output = SlackOutput(slack_token, args.channel)
+            output.send(content)
+        else:
+            output = ConsoleOutput()
+            output.send(content)
+
+    except Exception as e:
+        logger.exception(f"Error: {str(e)}")
+        raise
+
+
+if __name__ == "__main__":
+    main()

From d6ce344897f47b6e9ff90eb0180733b43e0d3241 Mon Sep 17 00:00:00 2001
From: Tim Sweeney <tim@wandb.com>
Date: Thu, 30 Jan 2025 18:00:22 -0800
Subject: [PATCH 16/43] chore(weave): Pin Shapely in CI

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 913fdc1be0fe..830983c8916a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -89,7 +89,7 @@ notdiamond = ["notdiamond>=0.3.21", "litellm<=1.49.1"]
 openai = ["openai>=1.0.0"]
 pandas-test = ["pandas>=2.2.3"]
 modal = ["modal", "python-dotenv"]
-vertexai = ["vertexai>=1.70.0"]
+vertexai = ["vertexai>=1.70.0", "shapely<=2.0.6"] # shapely is busted on 2.0.7
 bedrock = ["boto3", "moto[bedrock]>=5.0.24"]
 test = [
   "nox",

From fea6f77aa57208307d232a5c99f6775484186e8c Mon Sep 17 00:00:00 2001
From: Nicholas Pun <182540099+nicholaspun-wandb@users.noreply.github.com>
Date: Thu, 30 Jan 2025 18:35:27 -0800
Subject: [PATCH 17/43] feat(app): allow derived columns to be used as
 variables in weave expression editor (#3518)

---
 .../Panel2/PanelTable/PanelTable.tsx          | 34 ++++++++++++++-----
 1 file changed, 26 insertions(+), 8 deletions(-)

diff --git a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
index 8e581217d3e3..0c8957a4c6c1 100644
--- a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
+++ b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
@@ -227,6 +227,22 @@ const PanelTableInnerConfigSetter: React.FC<
     return {...config, tableState: tableState ?? autoTable};
   }, [config, tableState, autoTable]);
 
+  const columnVariables: {[key: string]: NodeOrVoidNode} = useMemo(() => {
+    const defineColumnVariables = (currentTableState: Table.TableState) => {
+      return Object.keys(currentTableState.columns).reduce(
+        (acc: {[key: string]: NodeOrVoidNode}, colId) => {
+          const columnName =
+            currentTableState.columnNames[colId] || colId.replace(/-/g, '');
+          acc[columnName] = currentTableState.columnSelectFunctions[colId];
+          return acc;
+        },
+        {}
+      );
+    };
+
+    return defineColumnVariables(config.tableState ?? tableState ?? autoTable);
+  }, [config.tableState, tableState, autoTable]);
+
   const [showColumnSelect, setShowColumnSelect] = React.useState(false);
 
   if (!hasLoadedOnce) {
@@ -234,14 +250,16 @@ const PanelTableInnerConfigSetter: React.FC<
   }
 
   return (
-    <PanelTableInner
-      {...props}
-      config={protectedConfig}
-      autoTable={autoTable}
-      updateConfig={protectedUpdateConfig}
-      showColumnSelect={showColumnSelect}
-      setShowColumnSelect={setShowColumnSelect}
-    />
+    <PanelContextProvider newVars={columnVariables}>
+      <PanelTableInner
+        {...props}
+        config={protectedConfig}
+        autoTable={autoTable}
+        updateConfig={protectedUpdateConfig}
+        showColumnSelect={showColumnSelect}
+        setShowColumnSelect={setShowColumnSelect}
+      />
+    </PanelContextProvider>
   );
 };
 

From 89ef6e17b9d04c03c9023f97a197ae5ca5e2f7e2 Mon Sep 17 00:00:00 2001
From: Tim Sweeney <tim@wandb.com>
Date: Thu, 30 Jan 2025 21:34:00 -0800
Subject: [PATCH 18/43] chore(weave): Small tweak to GH Action (#3554)

* init

* init
---
 .github/workflows/slack-digest.yml | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/.github/workflows/slack-digest.yml b/.github/workflows/slack-digest.yml
index c0515ab57dd4..a9933e2f910c 100644
--- a/.github/workflows/slack-digest.yml
+++ b/.github/workflows/slack-digest.yml
@@ -14,10 +14,6 @@ on:
         description: 'Number of days to look back'
         required: false
         default: '7'
-      extra_args:
-        description: 'Extra arguments to pass to the script (make this concrete after testing)'
-        required: false
-        default: ''
 
 jobs:
   notify:
@@ -41,5 +37,4 @@ jobs:
         run: |
           uv run gh_actions/slack_digest.py --slack \
             --channel "${{ github.event.inputs.channel || 'weave-dev-digest' }}" \
-            --days "${{ github.event.inputs.days || '7' }}" \
-            --extra-args "${{ github.event.inputs.extra_args || '' }}"
+            --days "${{ github.event.inputs.days || '7' }}"

From 80b9f764d8b06ef80a92c76d8a8d0c3d4819802d Mon Sep 17 00:00:00 2001
From: Morgan McGuire <morganmcg1@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:53:27 +0000
Subject: [PATCH 19/43] chore(weave): Add OpenHands agent to cla.yaml (#3489)

Adding the OpenHands agent to the CLA allowlist will avoid issues where the agent makes commits using the `openhands@all-hands.dev` email address, but this email address isn't recognised by the GitHub CLA action even when the agent (Github App) adds the "I have read the CLA..." comment.

Example here of the agent making a comment but it looks like it comes through via my GitHub profile, not the OpenHands one...

https://github.com/wandb/weave/pull/3476#issuecomment-2612400658
---
 .github/workflows/cla.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/cla.yaml b/.github/workflows/cla.yaml
index e1543843c963..cc74075ba086 100644
--- a/.github/workflows/cla.yaml
+++ b/.github/workflows/cla.yaml
@@ -27,4 +27,4 @@ jobs:
           # branch should not be protected
           branch: "cla"
           # cannot use teams due to: https://github.com/contributor-assistant/github-action/issues/100
-          allowlist: actions-user, altay, andrewtruong, bdytx5, dannygoldstein, davidwallacejackson, jamie-rasmussen, jlzhao27, jo-fang, jwlee64, laxels, morganmcg1, nickpenaranda, scottire, shawnlewis, staceysv, tssweeney, vanpelt, vwrj, wandbmachine, weave@wandb.com
+          allowlist: actions-user, altay, andrewtruong, bdytx5, dannygoldstein, davidwallacejackson, jamie-rasmussen, jlzhao27, jo-fang, jwlee64, laxels, morganmcg1, nickpenaranda, openhands@all-hands.dev, scottire, shawnlewis, staceysv, tssweeney, vanpelt, vwrj, wandbmachine, weave@wandb.com

From 9cd0c5d4a02b939c9bba33c04629687742851c5a Mon Sep 17 00:00:00 2001
From: Nicholas Pun <182540099+nicholaspun-wandb@users.noreply.github.com>
Date: Fri, 31 Jan 2025 08:52:14 -0800
Subject: [PATCH 20/43] fix(weave_query): Unescape nested dictionary keys
 before GQL retrieval and during typedDict-pick (#3536)

---
 weave_query/tests/test_wb_end_to_end.py       | 67 ++++++++++++++-----
 weave_query/weave_query/graph.py              |  7 +-
 .../weave_query/ops_primitives/_dict_utils.py |  7 +-
 3 files changed, 60 insertions(+), 21 deletions(-)

diff --git a/weave_query/tests/test_wb_end_to_end.py b/weave_query/tests/test_wb_end_to_end.py
index 5767d87abbd9..e47866dc5d53 100644
--- a/weave_query/tests/test_wb_end_to_end.py
+++ b/weave_query/tests/test_wb_end_to_end.py
@@ -3,6 +3,8 @@
 import weave_query as weave
 import weave_query
 from weave_query import compile
+from weave_query.graph import ConstNode
+from weave_query import types
 
 
 # Example of end to end integration test
@@ -64,24 +66,53 @@ def _test_basic_publish(user_fixture):
     assert weave_query.ref_base.Ref.from_str(uri).get() == [1, 2, 3]
 
 
-# Example of end to end integration test
-def test_run_histories(user_by_api_key_in_env):
-    run = wandb.init(project="project_exists")
-    run.log({"a": 1})
-    run.finish()
-
-    run = wandb.init(project="project_exists")
-    run.log({"a": 2})
-    run.finish()
-
-    history_node = (
-        weave_query.ops.project(run.entity, run.project).runs().history().concat()["a"]
-    )
-    history = weave.use(history_node)
-
-    # Runs return in reverse chronological order
-    assert history == [2, 1]
-
+class TestRunHistories:
+    def test_basic(self, user_by_api_key_in_env):
+        run = wandb.init(project="project_exists")
+        run.log({"a": 1})
+        run.finish()
+        
+        history_node = (
+            weave_query.ops.project(run.entity, run.project).runs().history().concat()["a"]
+        )
+        history = weave.use(history_node)
+        assert history == [1]
+        
+    def test_multiple_runs(self, user_by_api_key_in_env):
+        run = wandb.init(project="project_exists")
+        run.log({"a": 1})
+        run.finish()
+        
+        run = wandb.init(project="project_exists")
+        run.log({"a": 2})
+        run.finish()
+        
+        history_node = (
+            weave_query.ops.project(run.entity, run.project).runs().history().concat()["a"]
+        )
+        history = weave.use(history_node)
+        
+        # Runs return in reverse chronological order
+        assert history == [2, 1]
+        
+    def test_with_logged_nested_dict(self, user_by_api_key_in_env):
+        run = wandb.init(project="project_exists")
+        run.log({"nested_dictionary": {"key_0": 0}})
+        run.finish()
+        
+        key = ConstNode(types.String(), "nested_dictionary\\.key_0")        
+        history_node = (
+            weave_query.ops
+            .project(run.entity, run.project)
+            .filteredRuns("{}", "-createdAt")
+            .limit(100)
+            .index(0)
+            .history()
+            .pick(key)
+        )
+
+        history = weave.use(history_node)
+        assert history == [0]
 
 # Example of end to end integration test
 def test_run_history_count(user_by_api_key_in_env, cache_mode_minimal):
diff --git a/weave_query/weave_query/graph.py b/weave_query/weave_query/graph.py
index a623a9f25b82..70dd94adb834 100644
--- a/weave_query/weave_query/graph.py
+++ b/weave_query/weave_query/graph.py
@@ -4,7 +4,7 @@
 
 from weave_query import weave_types
 from weave_query import uris, errors, storage
-
+from weave_query._dict_utils import unescape_dots
 if typing.TYPE_CHECKING:
     from weave_query import weave_inspector
 
@@ -193,7 +193,10 @@ def from_json(cls, obj: dict) -> "ConstNode":
         if isinstance(val, dict) and "nodeType" in val:
             val = Node.node_from_json(val)
         else:
-            val = storage.from_python({"_type": obj["type"], "_val": obj["val"]})  # type: ignore
+            _val = obj["val"]
+            if isinstance(_val, str):
+                _val = unescape_dots(_val)
+            val = storage.from_python({"_type": obj["type"], "_val": _val})  # type: ignore
         t = weave_types.TypeRegistry.type_from_dict(obj["type"])
         if isinstance(t, weave_types.Function):
             cls = dispatch.RuntimeConstNode
diff --git a/weave_query/weave_query/ops_primitives/_dict_utils.py b/weave_query/weave_query/ops_primitives/_dict_utils.py
index e5be62c83645..eb535b970971 100644
--- a/weave_query/weave_query/ops_primitives/_dict_utils.py
+++ b/weave_query/weave_query/ops_primitives/_dict_utils.py
@@ -22,7 +22,12 @@ def tag_aware_dict_val_for_escaped_key(
 ) -> typing.Any:
     if key == None:
         return None
-    return _any_val_for_path(obj, split_escaped_string(key))
+
+    obj_at_full_path = _any_val_for_path(obj, [unescape_dots(key)])
+    if box.is_none(obj_at_full_path):
+        return _any_val_for_path(obj, split_escaped_string(key))
+    else:
+        return obj_at_full_path
 
 
 class MergeInputTypes(typing.TypedDict):

From 80f9a7b39003b9736f97833b9e4652e9c0db7971 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:18:04 -0600
Subject: [PATCH 21/43] chore(ui): Add useProjectInfo hook (#3558)

---
 wb_schema.gql                               |  1 +
 weave-js/src/common/hooks/useProjectInfo.ts | 84 +++++++++++++++++++++
 2 files changed, 85 insertions(+)
 create mode 100644 weave-js/src/common/hooks/useProjectInfo.ts

diff --git a/wb_schema.gql b/wb_schema.gql
index 0636e684e1f5..fcac02c3af31 100644
--- a/wb_schema.gql
+++ b/wb_schema.gql
@@ -202,6 +202,7 @@ type Project implements Node {
   createdAt: DateTime!
   updatedAt: DateTime
   id: ID!
+  internalId: ID!
   name: String!
   runs(filters: JSONString, order: String, first: Int): RunConnection
   entity: Entity!
diff --git a/weave-js/src/common/hooks/useProjectInfo.ts b/weave-js/src/common/hooks/useProjectInfo.ts
new file mode 100644
index 000000000000..241f596a4d12
--- /dev/null
+++ b/weave-js/src/common/hooks/useProjectInfo.ts
@@ -0,0 +1,84 @@
+/**
+ * This is a GraphQL approach to querying project information.
+ */
+
+import {gql, useApolloClient} from '@apollo/client';
+import {useEffect, useState} from 'react';
+
+// Note: id is the "external" ID, which changes when a project is renamed.
+//       internalId does not change.
+const PROJECT_QUERY = gql`
+  query Project($entityName: String!, $projectName: String!) {
+    project(name: $projectName, entityName: $entityName) {
+      id
+      internalId
+    }
+  }
+`;
+
+export type ProjectInfo = {
+  externalIdEncoded: string;
+  internalIdEncoded: string;
+};
+type ProjectInfoResponseLoading = {
+  loading: true;
+  projectInfo: {};
+};
+export type MaybeProjectInfo = ProjectInfo | null;
+type ProjectInfoResponseSuccess = {
+  loading: false;
+  projectInfo: MaybeProjectInfo;
+};
+type ProjectInfoResponse =
+  | ProjectInfoResponseLoading
+  | ProjectInfoResponseSuccess;
+
+export const useProjectInfo = (
+  entityName: string,
+  projectName: string
+): ProjectInfoResponse => {
+  const [response, setResponse] = useState<ProjectInfoResponse>({
+    loading: true,
+    projectInfo: {},
+  });
+
+  const apolloClient = useApolloClient();
+
+  useEffect(() => {
+    let mounted = true;
+    apolloClient
+      .query({
+        query: PROJECT_QUERY as any,
+        variables: {
+          entityName,
+          projectName,
+        },
+      })
+      .then(result => {
+        if (!mounted) {
+          return;
+        }
+        const projectInfo = result.data.project;
+        if (!projectInfo) {
+          // Invalid project
+          setResponse({
+            loading: false,
+            projectInfo: null,
+          });
+          return;
+        }
+        setResponse({
+          loading: false,
+          projectInfo: {
+            externalIdEncoded: projectInfo.id,
+            internalIdEncoded: projectInfo.internalId,
+          },
+        });
+      });
+    return () => {
+      mounted = false;
+    };
+  }, [apolloClient, entityName, projectName]);
+
+  return response;
+};

From 0c7a977c3d17e9b8d7d27ed96bcd14e33a493a9b Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Fri, 31 Jan 2025 12:23:14 -0600
Subject: [PATCH 22/43] fix(ui): automation button positioning (#3561)

---
 weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx b/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
index 66116fe416ce..d6549456ebc1 100644
--- a/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
+++ b/weave-js/src/components/FancyPage/FancyPageSidebarSection.tsx
@@ -12,7 +12,7 @@ import {
 } from '@wandb/weave/common/css/globals.styles';
 import {TargetBlank} from '@wandb/weave/common/util/links';
 import {Icon} from '@wandb/weave/components/Icon';
-import {Tooltip} from '@wandb/weave/components/Tooltip';
+import {TooltipDeprecated} from '@wandb/weave/components/TooltipDeprecated';
 import React from 'react';
 import {Link} from 'react-router-dom';
 import styled from 'styled-components';
@@ -186,7 +186,7 @@ const FancyPageSidebarSection = (props: FancyPageSidebarSectionProps) => {
 
         if (item.nameTooltip) {
           return (
-            <Tooltip
+            <TooltipDeprecated
               key={item.name}
               content={<span>{item.nameTooltip}</span>}
               trigger={wrapper}

From 497dbace08ab5bfa3cacd6970003cec48f6fff2b Mon Sep 17 00:00:00 2001
From: Erica Diaz <156136421+ericakdiaz@users.noreply.github.com>
Date: Fri, 31 Jan 2025 10:37:46 -0800
Subject: [PATCH 23/43] chore(app): Add tooltip to ToggleButtonGroup (#3529)

---
 weave-js/src/components/ToggleButtonGroup.tsx | 85 +++++++++++--------
 1 file changed, 48 insertions(+), 37 deletions(-)

diff --git a/weave-js/src/components/ToggleButtonGroup.tsx b/weave-js/src/components/ToggleButtonGroup.tsx
index 7f7f5ac42cf1..b22c94b304a2 100644
--- a/weave-js/src/components/ToggleButtonGroup.tsx
+++ b/weave-js/src/components/ToggleButtonGroup.tsx
@@ -5,12 +5,14 @@ import {twMerge} from 'tailwind-merge';
 import {Button, ButtonSize} from './Button';
 import {IconName} from './Icon';
 import {Tailwind} from './Tailwind';
+import {Tooltip} from './Tooltip';
 
 export type ToggleOption = {
   value: string;
   icon?: IconName;
   isDisabled?: boolean;
   iconOnly?: boolean;
+  tooltip?: string;
 };
 
 export type ToggleButtonGroupProps = {
@@ -56,7 +58,6 @@ export const ToggleButtonGroup = React.forwardRef<
         <ToggleGroup.Root
           type="single" // supports single selection only
           value={value}
-          onValueChange={handleValueChange}
           className="flex gap-px"
           ref={ref}>
           {options.map(
@@ -64,43 +65,53 @@ export const ToggleButtonGroup = React.forwardRef<
               value: optionValue,
               icon,
               isDisabled: optionIsDisabled,
+              tooltip,
               iconOnly = false,
-            }) => (
-              <div className="group" key={optionValue}>
-                <ToggleGroup.Item
-                  key={optionValue}
-                  value={optionValue}
-                  disabled={isDisabled}
-                  asChild>
-                  <Button
-                    icon={icon}
-                    size={size}
-                    className={twMerge(
-                      'night-aware',
-                      size === 'small' &&
-                        (icon
-                          ? 'gap-4 px-4 py-3 text-sm'
-                          : 'px-8 py-3 text-sm'),
-                      size === 'medium' &&
-                        (icon
-                          ? 'gap-5 px-7 py-4 text-base'
-                          : 'px-10 py-4 text-base'),
-                      size === 'large' &&
-                        (icon
-                          ? 'gap-6 px-10 py-8 text-base'
-                          : 'px-12 py-8 text-base'),
-                      (isDisabled || optionIsDisabled) &&
-                        'cursor-auto opacity-35',
-                      value === optionValue
-                        ? 'bg-teal-300/[0.48] text-teal-600 hover:bg-teal-300/[0.48] dark:bg-teal-700/[0.48] dark:text-teal-400'
-                        : 'hover:bg-oblivion/7 bg-oblivion/5 text-moon-600 hover:text-moon-800 dark:bg-moonbeam/[0.05] hover:dark:bg-teal-700/[0.48] hover:dark:text-teal-400',
-                      'rounded-none group-first:rounded-l-sm group-first:rounded-r-none group-last:rounded-l-none group-last:rounded-r-sm'
-                    )}>
-                    {!iconOnly ? optionValue : <></>}
-                  </Button>
-                </ToggleGroup.Item>
-              </div>
-            )
+            }) => {
+              const button = (
+                <Button
+                  icon={icon}
+                  size={size}
+                  onClick={() => handleValueChange(optionValue)}
+                  className={twMerge(
+                    'night-aware',
+                    size === 'small' &&
+                      (icon ? 'gap-4 px-4 py-3 text-sm' : 'px-8 py-3 text-sm'),
+                    size === 'medium' &&
+                      (icon
+                        ? 'gap-5 px-7 py-4 text-base'
+                        : 'px-10 py-4 text-base'),
+                    size === 'large' &&
+                      (icon
+                        ? 'gap-6 px-10 py-8 text-base'
+                        : 'px-12 py-8 text-base'),
+                    (isDisabled || optionIsDisabled) &&
+                      'cursor-auto opacity-35',
+                    value === optionValue
+                      ? 'bg-teal-300/[0.48] text-teal-600 hover:bg-teal-300/[0.48] dark:bg-teal-700/[0.48] dark:text-teal-400'
+                      : 'hover:bg-oblivion/7 bg-oblivion/5 text-moon-600 hover:text-moon-800 dark:bg-moonbeam/[0.05] hover:dark:bg-teal-700/[0.48] hover:dark:text-teal-400',
+                    'rounded-none group-first:rounded-l-sm group-first:rounded-r-none group-last:rounded-l-none group-last:rounded-r-sm'
+                  )}>
+                  {!iconOnly ? optionValue : <></>}
+                </Button>
+              );
+
+              return (
+                <div className="group" key={optionValue}>
+                  <ToggleGroup.Item
+                    key={optionValue}
+                    value={optionValue}
+                    disabled={isDisabled}
+                    asChild>
+                    {tooltip ? (
+                      <Tooltip content={tooltip} trigger={button} />
+                    ) : (
+                      button
+                    )}
+                  </ToggleGroup.Item>
+                </div>
+              );
+            }
           )}
         </ToggleGroup.Root>
       </Tailwind>

From 6b5f1208c0d02da6ed51598d00ad2b90bd5b3b99 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Fri, 31 Jan 2025 14:32:37 -0600
Subject: [PATCH 24/43] chore(ui): add noTriggerWrap option to Tooltip (#3559)

---
 weave-js/src/components/Tooltip.tsx | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/weave-js/src/components/Tooltip.tsx b/weave-js/src/components/Tooltip.tsx
index c64f7c5a8bf7..9728c163da0e 100644
--- a/weave-js/src/components/Tooltip.tsx
+++ b/weave-js/src/components/Tooltip.tsx
@@ -24,6 +24,9 @@ type TooltipProps = {
   /** Element to be rendered in-place where the popup is defined. */
   trigger: React.ReactNode;
 
+  /** If true, don't wrap the trigger with a span. */
+  noTriggerWrap?: boolean;
+
   side?: Side;
   align?: Align;
 
@@ -59,6 +62,7 @@ const parsePosition = (position?: TooltipPosition): ParsedPosition => {
 
 export const Tooltip = ({
   trigger,
+  noTriggerWrap,
   content,
   side,
   align,
@@ -67,13 +71,20 @@ export const Tooltip = ({
 }: TooltipProps) => {
   const defaultPosition = parsePosition(position);
   const [isTooltipOpen, setIsTooltipOpen] = useState(false);
+
+  // The span wrapper allows the Tooltip to work on function components (like Icon) that cannot be given refs.
+  // We allow disabling it because the trigger might be something like a div that shouldn't be inside a span
+  // and the extra element layer can cause positioning problems for the tooltip.
+  const triggerChild = noTriggerWrap ? (
+    trigger
+  ) : (
+    <span className="[display:inherit]">{trigger}</span>
+  );
+
   return (
     <Provider>
       <Root open={isTooltipOpen} onOpenChange={setIsTooltipOpen}>
-        <Trigger asChild>
-          {/* span is needed so tooltip works on disabled buttons */}
-          <span className="[display:inherit]">{trigger}</span>
-        </Trigger>
+        <Trigger asChild>{triggerChild}</Trigger>
         <Portal>
           <Content
             style={{

From f4feab8e355fb3257812f4967325aef6fe8f4292 Mon Sep 17 00:00:00 2001
From: Flamarion Jorge <29267749+flamarion@users.noreply.github.com>
Date: Fri, 31 Jan 2025 21:58:59 +0100
Subject: [PATCH 25/43] chore(weave): Add Weave self-managed installation
 documentation (#3547)

---
 docs/docs/guides/platform/index.md            |   2 +-
 .../guides/platform/weave-self-managed.md     | 380 ++++++++++++++++++
 docs/package.json                             |   3 +-
 docs/sidebars.ts                              |   4 +
 4 files changed, 387 insertions(+), 2 deletions(-)
 create mode 100644 docs/docs/guides/platform/weave-self-managed.md

diff --git a/docs/docs/guides/platform/index.md b/docs/docs/guides/platform/index.md
index 9a53f79d7234..665b82eb0143 100644
--- a/docs/docs/guides/platform/index.md
+++ b/docs/docs/guides/platform/index.md
@@ -4,7 +4,7 @@ Weave is available on the following deployment options:
 
 - **[W&B SaaS Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/saas_cloud):** A multi-tenant, fully-managed platform deployed in W&B's Google Cloud Platform (GCP) account in a North America region.
 - **[W&B Dedicated Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/dedicated_cloud):** Generally available on AWS and in preview on GCP and Azure. 
-- **Self-managed instances:** For teams that prefer to host Weave independently, guidance is available from your W&B team to evaluate deployment options.
+- **[Self-managed instances](./weave-self-managed.md):** For teams that prefer to host Weave independently, guidance is available from your W&B team to evaluate deployment options.
 
 ## Identity and Access Management
 
diff --git a/docs/docs/guides/platform/weave-self-managed.md b/docs/docs/guides/platform/weave-self-managed.md
new file mode 100644
index 000000000000..ae3a0b87aa40
--- /dev/null
+++ b/docs/docs/guides/platform/weave-self-managed.md
@@ -0,0 +1,380 @@
+# W&B Weave Self-managed
+
+This install guide outlines the process of deploying all the components necessary to enable W&B Weave in a self-managed environment.
+
+:::important
+Weave on self-managed is currently in Private Preview (PrPr). 
+To deploy a fully production grade instance, please email `support@wandb.com`.
+W&B strongly recommends using the [W&B Dedicated Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/dedicated_cloud) option where Weave is Generally Available for production environments.
+:::
+
+One of the key components required to deploy W&B Weave is the ClickHouseDB used by Weave application backend.
+
+While the deployment results in a fully functional ClickHouseDB installation, there may be additional measures needed to improve reliability and availability in a fully production-ready environment.
+
+## Requirements
+
+- W&B Platform installed. For more information, see the [Self-Managed Deployment Guide](https://docs.wandb.ai/guides/hosting/hosting-options/self-managed/)
+- [Bitnami's ClickHouse Helm Chart](https://github.com/bitnami/charts/tree/main/bitnami/clickhouse)
+- An S3 bucket pre-configured for ClickHouse storage. For configuration details, see [Provide S3 Credentials](#provide-s3-credentials).
+- Kubernetes Cluster Nodes with the following specifications:
+  - CPU: 8 cores  
+  - RAM: 64 GB  
+  - Disk: 200GB+
+A more detailed reference architecture is available here (https://docs.wandb.ai/guides/hosting/self-managed/ref-arch/#models-and-weave)
+
+## Deploy ClickHouse
+
+The ClickHouse deployment in this document uses the [Bitnami ClickHouse](https://bitnami.com/stack/clickhouse) package.
+
+The Bitnami Helm chart provides good support for basic ClickHouse functionalities, particularly the use of [ClickHouse Keeper](https://clickhouse.com/docs/en/guides/sre/keeper/clickhouse-keeper).
+
+### Configure Helm repository
+
+1. Add the Bitnami Helm repository:
+
+   `helm repo add bitnami https://charts.bitnami.com/bitnami` 
+
+2. Update the repository
+
+   `helm repo update`
+
+
+### Create Helm Configuration
+
+Below is an example `values.yaml` file with customizable parameters to suit your needs.
+
+The most critical part of this document is the ClickHouse configuration, which is provided in XML format.
+To make the configuration process easier, we have added comments in the relevant sections using the format `<!-- COMMENT -->`.
+
+Modify the following parameters:
+
+- `clusterName`
+- `auth.username`
+- `auth.password`
+- S3 bucket-related configurations
+
+```yaml
+# Stable version
+image:
+  registry: docker.io
+  repository: bitnami/clickhouse
+  tag: 24.8
+
+## @param clusterName ClickHouse cluster name
+clusterName: cluster_1S_3R
+
+## @param shards Number of ClickHouse shards to deploy
+shards: 1
+
+## @param replicaCount Number of ClickHouse replicas per shard to deploy
+## if keeper enable, same as keeper count, keeper cluster by shards.
+replicaCount: 3
+persistence:
+  enabled: false
+
+
+## ClickHouse resource requests and limits
+resources:
+  requests:
+    cpu: 0.5
+    memory: 500Mi
+  limits:
+    cpu: 3.0
+    memory: 6Gi
+
+## Authentication
+auth:
+  username: weave_admin
+  password: "weave_123"
+  existingSecret: ""
+  existingSecretKey: ""
+
+
+## @param logLevel Logging level
+logLevel: information
+
+## @section ClickHouse keeper configuration parameters
+keeper:
+  enabled: true
+
+## @param defaultConfigurationOverrides [string] Default configuration overrides (evaluated as a template)
+defaultConfigurationOverrides: |
+  <clickhouse>
+    <!-- Macros -->
+    <macros>
+      <shard from_env="CLICKHOUSE_SHARD_ID"></shard>
+      <replica from_env="CLICKHOUSE_REPLICA_ID"></replica>
+    </macros>
+    <!-- Log Level -->
+    <logger>
+      <level>{{ .Values.logLevel }}</level>
+    </logger>
+    {{- if or (ne (int .Values.shards) 1) (ne (int .Values.replicaCount) 1)}}
+    <remote_servers>
+      <{{ .Values.clusterName }}>
+        {{- $shards := $.Values.shards | int }}
+        {{- range $shard, $e := until $shards }}
+        <shard>
+          <internal_replication>true</internal_replication>
+          {{- $replicas := $.Values.replicaCount | int }}
+          {{- range $i, $_e := until $replicas }}
+          <replica>
+            <host>{{ printf "%s-shard%d-%d.%s.%s.svc.%s" (include "common.names.fullname" $ ) $shard $i (include "clickhouse.headlessServiceName" $) (include "common.names.namespace" $) $.Values.clusterDomain }}</host>
+            <port>{{ $.Values.service.ports.tcp }}</port>
+          </replica>
+          {{- end }}
+        </shard>
+        {{- end }}
+      </{{ .Values.clusterName }}>
+    </remote_servers>
+    {{- end }}
+    {{- if .Values.keeper.enabled }}
+    <keeper_server>
+      <tcp_port>{{ $.Values.containerPorts.keeper }}</tcp_port>
+      {{- if .Values.tls.enabled }}
+      <tcp_port_secure>{{ $.Values.containerPorts.keeperSecure }}</tcp_port_secure>
+      {{- end }}
+      <server_id from_env="KEEPER_SERVER_ID"></server_id>
+      <log_storage_path>/bitnami/clickhouse/keeper/coordination/log</log_storage_path>
+      <snapshot_storage_path>/bitnami/clickhouse/keeper/coordination/snapshots</snapshot_storage_path>
+      <coordination_settings>
+        <operation_timeout_ms>10000</operation_timeout_ms>
+        <session_timeout_ms>30000</session_timeout_ms>
+        <raft_logs_level>trace</raft_logs_level>
+      </coordination_settings>
+      <raft_configuration>
+        {{- $nodes := .Values.replicaCount | int }}
+        {{- range $node, $e := until $nodes }}
+        <server>
+          <id>{{ $node | int }}</id>
+          <hostname from_env="{{ printf "KEEPER_NODE_%d" $node }}"></hostname>
+          <port>{{ $.Values.service.ports.keeperInter }}</port>
+        </server>
+        {{- end }}
+      </raft_configuration>
+    </keeper_server>
+    {{- end }}
+    {{- if or .Values.keeper.enabled .Values.zookeeper.enabled .Values.externalZookeeper.servers }}
+    <zookeeper>
+      {{- if or .Values.keeper.enabled }}
+      {{- $nodes := .Values.replicaCount | int }}
+      {{- range $node, $e := until $nodes }}
+      <node>
+        <host from_env="{{ printf "KEEPER_NODE_%d" $node }}"></host>
+        <port>{{ $.Values.service.ports.keeper }}</port>
+      </node>
+      {{- end }}
+      {{- else if .Values.zookeeper.enabled }}
+      {{- $nodes := .Values.zookeeper.replicaCount | int }}
+      {{- range $node, $e := until $nodes }}
+      <node>
+        <host from_env="{{ printf "KEEPER_NODE_%d" $node }}"></host>
+        <port>{{ $.Values.zookeeper.service.ports.client }}</port>
+      </node>
+      {{- end }}
+      {{- else if .Values.externalZookeeper.servers }}
+      {{- range $node :=.Values.externalZookeeper.servers }}
+      <node>
+        <host>{{ $node }}</host>
+        <port>{{ $.Values.externalZookeeper.port }}</port>
+      </node>
+      {{- end }}
+      {{- end }}
+    </zookeeper>
+    {{- end }}
+    {{- if .Values.metrics.enabled }}
+    <prometheus>
+      <endpoint>/metrics</endpoint>
+      <port from_env="CLICKHOUSE_METRICS_PORT"></port>
+      <metrics>true</metrics>
+      <events>true</events>
+      <asynchronous_metrics>true</asynchronous_metrics>
+    </prometheus>
+    {{- end }}
+    <storage_configuration>
+      <disks>
+        <s3_disk>
+          <type>s3</type>
+          <!-- MODIFY THE BUCKET NAME -->
+          <endpoint>https://s3.us-east-1.amazonaws.com/bucketname/foldername</endpoint>
+          <!-- MODIFY THE BUCKET NAME -->
+
+          <!-- AVOID USE CREDENTIALS CHECK THE RECOMMENDATION -->
+          <access_key_id>xxx</access_key_id>
+          <secret_access_key>xxx</secret_access_key>
+          <!-- AVOID USE CREDENTIALS CHECK THE RECOMMENDATION -->
+
+         <metadata_path>/var/lib/clickhouse/disks/s3_disk/</metadata_path>
+        </s3_disk>
+        <s3_disk_cache>
+  	      <type>cache</type>
+          <disk>s3_disk</disk>
+          <path>/var/lib/clickhouse/s3_disk_cache/cache/</path>
+          <max_size>100Gi</max_size>
+          <cache_on_write_operations>1</cache_on_write_operations>
+          <enable_filesystem_cache_on_write_operations>1</enable_filesystem_cache_on_write_operations> 
+        </s3_disk_cache>
+      </disks>
+      <policies>
+        <s3_main>
+          <volumes>
+            <main>
+              <disk>s3_disk_cache</disk>
+            </main>
+          </volumes>
+        </s3_main>
+      </policies>
+    </storage_configuration>
+    <merge_tree>
+      <storage_policy>s3_main</storage_policy>
+    </merge_tree>
+  </clickhouse>
+
+## @section Zookeeper subchart parameters
+zookeeper:
+  enabled: false
+```
+### Provide S3 Credentials
+
+You can specify credentials for accessing an S3 bucket by either hardcoding the configuration, or having Clickhouse fetch the data from environment variables or an EC2 instance:
+
+#### Hardcode the configuration   
+   
+Directly include the credentials in the storage configuration:
+
+```plaintext
+<type>s3</type>
+<endpoint>https://s3.us-east-1.amazonaws.com/bucketname/foldername</endpoint>
+<access_key_id>xxx</access_key_id>
+<secret_access_key>xxx</secret_access_key>
+
+2. **Using Environment Variables or EC2 Metadata**  
+   Instead of hardcoding credentials, you can enable ClickHouse to fetch them dynamically from environment variables or Amazon EC2 instance metadata:
+
+   `<use_environment_credentials>true</use_environment_credentials>`  
+   
+   You can find more details on this at [ClickHouse: Separation of Storage and Compute](https://clickhouse.com/docs/en/guides/separation-storage-compute).
+
+### Install ClickHouse
+
+With the repositories set up and the `values.yaml` file prepared, the next step is to deploy ClickHouse.
+
+```bash
+helm install --create-namespace --namespace <NAMESPACE> clickhouse bitnami/clickhouse -f values.yaml 
+:::important
+If you do not wish to create a new namespace or install ClickHouse in a specific namespace, omit the arguments `--create-namespace --namespace <NAMESPACE>`.
+:::
+
+#### Confirm Clickhouse deployment
+
+```bash
+kubectl get pods -n <NAMESPACE>
+
+## Deploy Weave
+
+Weave is already available for automatic deployment via [W&B Operator](https://docs.wandb.ai/guides/hosting/operator/#wb-kubernetes-operator). With the W&B Platform installed, the next steps would be as follows:
+
+1. Edit the [CR instance](https://docs.wandb.ai/guides/hosting/operator/#complete-example) used to deploy the platform
+2. Add the Weave configuration.
+
+### Gather information
+
+Use Kubernetes service details to configure Weave tracing:
+
+- **Endpoint**: `<release-name>-headless.<namespace>.svc.cluster.local`
+  - Replace `<release-name>` with your Helm release name.
+  - Replace `<namespace>` with your `NAMESPACE`.
+  - **Get the service details:** `kubectl get svc -n <namespace>`
+- **Username**: Set in the `values.yaml`
+- **Password**: Set in the `values.yaml`
+
+With this information, update the W&B Platform Custom Resource(CR) by adding the following configuration:
+
+```yaml
+apiVersion: apps.wandb.com/v1
+kind: WeightsAndBiases
+metadata:
+  labels:
+    app.kubernetes.io/name: weightsandbiases
+    app.kubernetes.io/instance: wandb
+  name: wandb
+  namespace: default
+spec:
+  values:
+    global:
+    [...]
+      clickhouse:
+        host: <release-name>-headless.<namespace>.svc.cluster.local
+        port: 8123
+        password: <password>
+        user: <username>
+        database: wandb_weave
+
+      weave-trace:
+        enabled: true
+    [...]
+    weave-trace:
+      install: true
+    [...]
+```
+
+The final configuration may look like the example below:
+
+```yaml
+apiVersion: apps.wandb.com/v1
+kind: WeightsAndBiases
+metadata:
+  labels:
+    app.kubernetes.io/name: weightsandbiases
+    app.kubernetes.io/instance: wandb
+  name: wandb
+  namespace: default
+spec:
+  values:
+    global:
+      license: eyJhbGnUzaHgyQjQyQWhEU3...ZieKQ2x5GGfw
+      host: https://abc-wandb.sandbox-gcp.wandb.ml
+
+      bucket:
+        name: abc-wandb-moving-pipefish
+        provider: gcs
+
+      mysql:
+        database: wandb_local
+        host: 10.218.0.2
+        name: wandb_local
+        password: 8wtX6cJHizAZvYScjDzZcUarK4zZGjpV
+        port: 3306
+        user: wandb
+
+      clickhouse:
+        host: <release-name>-headless.<namespace>.svc.cluster.local
+        port: 8123
+        password: <password>
+        user: <username>
+        database: wandb_weave
+
+      weave-trace:
+        enabled: true
+ 
+    ingress:
+      annotations:
+        ingress.gcp.kubernetes.io/pre-shared-cert: abc-wandb-cert-creative-puma
+        kubernetes.io/ingress.class: gce
+        kubernetes.io/ingress.global-static-ip-name: abc-wandb-operator-address
+
+    weave-trace:
+      install: true
+```
+
+With the Custom Resource (CR) prepared, apply the new configuration
+
+```bash
+kubectl apply -n <NAMESPACE> -f wandb.yaml
+
+:::tip
+For Weave to be functional, you'll need a Weave enabled license from W&B.
+To request a license, please reach out to support@wandb.com
+:::
+
diff --git a/docs/package.json b/docs/package.json
index f4b80743380d..0ed08a6e00cb 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -52,5 +52,6 @@
   },
   "engines": {
     "node": ">=18.0"
-  }
+  },
+  "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e"
 }
diff --git a/docs/sidebars.ts b/docs/sidebars.ts
index 3127b0eba927..ffa7941caff1 100644
--- a/docs/sidebars.ts
+++ b/docs/sidebars.ts
@@ -132,6 +132,10 @@ const sidebars: SidebarsConfig = {
           type: "doc",
           id: "guides/platform/index",
         },
+        {
+          type: "doc",
+          id: "guides/platform/weave-self-managed",
+        }
       ],
     },
   ],

From 5311835270063b8a6052bbdc659e319142fc0438 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Fri, 31 Jan 2025 15:40:18 -0600
Subject: [PATCH 26/43] fix(ui): small ref loading and icons (#3560)

---
 .../pages/wfReactInterface/utilities.ts       |   9 +
 .../Home/Browse3/smallRef/SmallRefIcon.tsx    |  18 ++
 .../Home/Browse3/smallRef/SmallRefLoaded.tsx  |  56 ++++++
 .../Home/Browse3/smallRef/SmallWeaveRef.tsx   | 166 ++++++++----------
 4 files changed, 157 insertions(+), 92 deletions(-)
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefIcon.tsx
 create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefLoaded.tsx

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/utilities.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/utilities.ts
index b1d3c0849c9a..6eabbf4be384 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/utilities.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/utilities.ts
@@ -298,6 +298,15 @@ export const isObjDeleteError = (error: Error | null): boolean => {
   return false;
 };
 
+export const getErrorReason = (error: Error): string | null => {
+  try {
+    const parsed = JSON.parse(error.message);
+    return parsed.reason ?? null;
+  } catch (e) {
+    return null;
+  }
+};
+
 /// Hooks ///
 
 export const useParentCall = (
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefIcon.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefIcon.tsx
new file mode 100644
index 000000000000..1a236767e879
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefIcon.tsx
@@ -0,0 +1,18 @@
+/**
+ * Small circle with icon.
+ */
+import React from 'react';
+
+import {Icon, IconName} from '../../../../Icon';
+
+type SmallRefIconProps = {
+  icon: IconName;
+};
+
+export const SmallRefIcon = ({icon}: SmallRefIconProps) => {
+  return (
+    <div className="flex h-[22px] w-[22px] flex-none items-center justify-center rounded-full bg-moon-300/[0.48]">
+      <Icon role="presentation" className="h-[14px] w-[14px]" name={icon} />
+    </div>
+  );
+};
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefLoaded.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefLoaded.tsx
new file mode 100644
index 000000000000..c1434103525d
--- /dev/null
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallRefLoaded.tsx
@@ -0,0 +1,56 @@
+/**
+ * Render a SmallRef after we have all of the necessary data.
+ */
+
+import classNames from 'classnames';
+import React from 'react';
+
+import {IconName} from '../../../../Icon';
+import {Tooltip} from '../../../../Tooltip';
+import {Link} from '../pages/common/Links';
+import {getErrorReason} from '../pages/wfReactInterface/utilities';
+import {SmallRefIcon} from './SmallRefIcon';
+
+type SmallRefLoadedProps = {
+  icon: IconName;
+  url: string;
+  label?: string;
+  error: Error | null;
+};
+
+export const SmallRefLoaded = ({
+  icon,
+  url,
+  label,
+  error,
+}: SmallRefLoadedProps) => {
+  const content = (
+    <div
+      className={classNames('flex items-center gap-4 text-moon-700', {
+        'hover:text-teal-500': !error,
+        'line-through': error,
+      })}>
+      <SmallRefIcon icon={icon} />
+      {label && (
+        <div className="h-[22px] min-w-0 flex-1 overflow-hidden overflow-ellipsis whitespace-nowrap">
+          {label}
+        </div>
+      )}
+    </div>
+  );
+  if (error) {
+    const reason = getErrorReason(error);
+    return (
+      <Tooltip
+        trigger={<div className="w-full">{content}</div>}
+        noTriggerWrap
+        content={reason}
+      />
+    );
+  }
+  return (
+    <Link $variant="secondary" to={url} className="w-full">
+      {content}
+    </Link>
+  );
+};
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
index 2bded9344623..3fb464214e4e 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/smallRef/SmallWeaveRef.tsx
@@ -1,35 +1,23 @@
-import {getTypeName, Type} from '@wandb/weave/core';
+/**
+ * Display a link to a Weave object.
+ */
+
+import React from 'react';
+
 import {
   isWandbArtifactRef,
   isWeaveObjectRef,
   ObjectRef,
-  refUri,
   WeaveObjectRef,
-} from '@wandb/weave/react';
-import React, {FC} from 'react';
-
+} from '../../../../../react';
 import {IconName, IconNames} from '../../../../Icon';
+import {LoadingDots} from '../../../../LoadingDots';
+import {TailwindContents} from '../../../../Tailwind';
 import {useWeaveflowRouteContext} from '../context';
-import {Link} from '../pages/common/Links';
 import {useWFHooks} from '../pages/wfReactInterface/context';
-import {isObjDeleteError} from '../pages/wfReactInterface/utilities';
-import {
-  ObjectVersionKey,
-  OpVersionKey,
-} from '../pages/wfReactInterface/wfDataModelHooksInterface';
-import {SmallRefBox} from './SmallRefBox';
+import {SmallRefLoaded} from './SmallRefLoaded';
 import {WFDBTableType} from './types';
 
-const getRootType = (t: Type): Type => {
-  if (
-    (t as any)._base_type != null &&
-    (t as any)._base_type?.type !== 'Object'
-  ) {
-    return getRootType((t as any)._base_type);
-  }
-  return t;
-};
-
 export const objectRefDisplayName = (
   objRef: ObjectRef,
   versionIndex?: number
@@ -67,29 +55,51 @@ export const objectRefDisplayName = (
   throw new Error('Unknown ref type');
 };
 
-export const SmallWeaveRef: FC<{
+// TODO: Unify with OBJECT_ICONS in ObjectVersionPage
+const ICON_MAP: Record<string, IconName> = {
+  ActionSpec: IconNames.RocketLaunch,
+  AnnotationSpec: IconNames.ForumChatBubble,
+  Dataset: IconNames.Table,
+  Evaluation: IconNames.BaselineAlt,
+  Leaderboard: IconNames.BenchmarkSquare,
+  List: IconNames.List, // TODO: Not sure how you get this type
+  Model: IconNames.Model,
+  Op: IconNames.JobProgramCode,
+  Prompt: IconNames.ForumChatBubble,
+  Scorer: IconNames.TypeNumberAlt,
+};
+
+const getObjectVersionLabel = (
+  objRef: ObjectRef,
+  versionIndex: number
+): string => {
+  let label = objRef.artifactName + ':';
+  if (versionIndex >= 0) {
+    label += 'v' + versionIndex;
+  } else {
+    label += objRef.artifactVersion.slice(0, 6);
+  }
+  if (objRef.artifactRefExtra) {
+    label += '/' + objRef.artifactRefExtra;
+  }
+  return label;
+};
+
+type SmallWeaveRefProps = {
   objRef: WeaveObjectRef;
   wfTable?: WFDBTableType;
   iconOnly?: boolean;
-}> = ({objRef, wfTable, iconOnly = false}) => {
-  const {
-    useObjectVersion,
-    useOpVersion,
-    derived: {useRefsType},
-  } = useWFHooks();
-
-  let objVersionKey: ObjectVersionKey | null = null;
-  let opVersionKey: OpVersionKey | null = null;
+};
 
-  if (objRef.weaveKind === 'op') {
-    opVersionKey = {
-      entity: objRef.entityName,
-      project: objRef.projectName,
-      opId: objRef.artifactName,
-      versionHash: objRef.artifactVersion,
-    };
-  } else {
-    objVersionKey = {
+export const SmallWeaveRef = ({
+  objRef,
+  wfTable,
+  iconOnly = false,
+}: SmallWeaveRefProps) => {
+  const {peekingRouter} = useWeaveflowRouteContext();
+  const {useObjectVersion} = useWFHooks();
+  const objectVersion = useObjectVersion(
+    {
       scheme: 'weave',
       entity: objRef.entityName,
       project: objRef.projectName,
@@ -98,61 +108,33 @@ export const SmallWeaveRef: FC<{
       versionHash: objRef.artifactVersion,
       path: '',
       refExtra: objRef.artifactRefExtra,
-    };
-  }
-
-  const objectVersion = useObjectVersion(objVersionKey, true);
-  const opVersion = useOpVersion(opVersionKey, true);
-  const isDeleted =
-    isObjDeleteError(objectVersion?.error) ||
-    isObjDeleteError(opVersion?.error);
-  const versionIndex =
-    objectVersion.result?.versionIndex ?? opVersion.result?.versionIndex;
+    },
+    true
+  );
 
-  const {peekingRouter} = useWeaveflowRouteContext();
-  const refTypeQuery = useRefsType([refUri(objRef)]);
-  const refType: Type =
-    refTypeQuery.loading || refTypeQuery.result == null
-      ? 'unknown'
-      : refTypeQuery.result[0];
-  let rootType = getRootType(refType);
-  if (objRef.scheme === 'weave' && objRef.weaveKind === 'op') {
-    // TODO: Why is this necessary? The type is coming back as `objRef`
-    rootType = {type: 'OpDef'};
+  const error = objectVersion?.error ?? null;
+  if (objectVersion.loading && !error) {
+    return <LoadingDots />;
   }
-  const {label} = objectRefDisplayName(objRef, versionIndex);
 
-  const rootTypeName = getTypeName(rootType);
-  let icon: IconName = IconNames.CubeContainer;
-  if (rootTypeName === 'Dataset') {
-    icon = IconNames.Table;
-  } else if (rootTypeName === 'Model') {
-    icon = IconNames.Model;
-  } else if (rootTypeName === 'List') {
-    icon = IconNames.List;
-  } else if (rootTypeName === 'OpDef') {
-    icon = IconNames.JobProgramCode;
-  }
-  const Item = (
-    <SmallRefBox
-      iconName={icon}
-      text={label}
-      iconOnly={iconOnly}
-      isDeleted={isDeleted}
-    />
-  );
+  // If the query for version number / object type fails,
+  // we will render a generic object icon and digest.
+  const objVersion = objectVersion.result ?? {
+    baseObjectClass: undefined,
+    versionIndex: -1,
+  };
+  const {baseObjectClass, versionIndex} = objVersion;
+  const rootTypeName =
+    objRef.weaveKind === 'op' ? 'Op' : baseObjectClass ?? 'Object';
 
-  if (refTypeQuery.loading || isDeleted) {
-    return Item;
-  }
+  const icon = ICON_MAP[rootTypeName] ?? IconNames.CubeContainer;
+  const url = peekingRouter.refUIUrl(rootTypeName, objRef, wfTable);
+  const label = iconOnly
+    ? undefined
+    : getObjectVersionLabel(objRef, versionIndex);
   return (
-    <Link
-      $variant="secondary"
-      style={{
-        width: '100%',
-      }}
-      to={peekingRouter.refUIUrl(rootTypeName, objRef, wfTable)}>
-      {Item}
-    </Link>
+    <TailwindContents>
+      <SmallRefLoaded icon={icon} label={label} url={url} error={error} />
+    </TailwindContents>
   );
 };

From 65475f9991a39b967fc2512989ea351d064841fa Mon Sep 17 00:00:00 2001
From: J2-D2-3PO <188380414+J2-D2-3PO@users.noreply.github.com>
Date: Fri, 31 Jan 2025 15:13:55 -0700
Subject: [PATCH 27/43] docs(weave): fix formatting on self-managed doc (#3563)

---
 .../guides/platform/weave-self-managed.md     | 141 +++++++++---------
 1 file changed, 74 insertions(+), 67 deletions(-)

diff --git a/docs/docs/guides/platform/weave-self-managed.md b/docs/docs/guides/platform/weave-self-managed.md
index ae3a0b87aa40..a6a6dddd0e4e 100644
--- a/docs/docs/guides/platform/weave-self-managed.md
+++ b/docs/docs/guides/platform/weave-self-managed.md
@@ -8,7 +8,7 @@ To deploy a fully production grade instance, please email `support@wandb.com`.
 W&B strongly recommends using the [W&B Dedicated Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/dedicated_cloud) option where Weave is Generally Available for production environments.
 :::
 
-One of the key components required to deploy W&B Weave is the ClickHouseDB used by Weave application backend.
+One of the key components required to deploy W&B Weave is the [ClickHouseDB](https://clickhouse.com/) used by Weave application backend.
 
 While the deployment results in a fully functional ClickHouseDB installation, there may be additional measures needed to improve reliability and availability in a fully production-ready environment.
 
@@ -16,12 +16,16 @@ While the deployment results in a fully functional ClickHouseDB installation, th
 
 - W&B Platform installed. For more information, see the [Self-Managed Deployment Guide](https://docs.wandb.ai/guides/hosting/hosting-options/self-managed/)
 - [Bitnami's ClickHouse Helm Chart](https://github.com/bitnami/charts/tree/main/bitnami/clickhouse)
-- An S3 bucket pre-configured for ClickHouse storage. For configuration details, see [Provide S3 Credentials](#provide-s3-credentials).
+- An S3 bucket pre-configured for ClickHouse storage. For configuration details, see [Provide S3 Credentials](#provide-s3-credentials)
 - Kubernetes Cluster Nodes with the following specifications:
   - CPU: 8 cores  
   - RAM: 64 GB  
   - Disk: 200GB+
-A more detailed reference architecture is available here (https://docs.wandb.ai/guides/hosting/self-managed/ref-arch/#models-and-weave)
+- A Weave-enabled license from W&B. To request a license, please reach out to `support@wandb.com`.
+
+:::tip  
+For a more detailed reference architecture, see [https://docs.wandb.ai/guides/hosting/self-managed/ref-arch/](https://docs.wandb.ai/guides/hosting/self-managed/ref-arch/#models-and-weave).
+:::
 
 ## Deploy ClickHouse
 
@@ -35,16 +39,14 @@ The Bitnami Helm chart provides good support for basic ClickHouse functionalitie
 
    `helm repo add bitnami https://charts.bitnami.com/bitnami` 
 
-2. Update the repository
+2. Update the repository:
 
    `helm repo update`
 
 
 ### Create Helm Configuration
 
-Below is an example `values.yaml` file with customizable parameters to suit your needs.
-
-The most critical part of this document is the ClickHouse configuration, which is provided in XML format.
+The most critical part of the Helm configuration is the ClickHouse configuration, which is provided in XML format. Below is an example `values.yaml` file with customizable parameters to suit your needs.
 To make the configuration process easier, we have added comments in the relevant sections using the format `<!-- COMMENT -->`.
 
 Modify the following parameters:
@@ -237,7 +239,7 @@ zookeeper:
 ```
 ### Provide S3 Credentials
 
-You can specify credentials for accessing an S3 bucket by either hardcoding the configuration, or having Clickhouse fetch the data from environment variables or an EC2 instance:
+You can specify credentials for accessing an S3 bucket by either hardcoding the configuration, or having ClickHouse fetch the data from environment variables or an EC2 instance:
 
 #### Hardcode the configuration   
    
@@ -248,76 +250,85 @@ Directly include the credentials in the storage configuration:
 <endpoint>https://s3.us-east-1.amazonaws.com/bucketname/foldername</endpoint>
 <access_key_id>xxx</access_key_id>
 <secret_access_key>xxx</secret_access_key>
+```
 
-2. **Using Environment Variables or EC2 Metadata**  
-   Instead of hardcoding credentials, you can enable ClickHouse to fetch them dynamically from environment variables or Amazon EC2 instance metadata:
+#### Use environment variables or EC2 Metadata
 
-   `<use_environment_credentials>true</use_environment_credentials>`  
-   
-   You can find more details on this at [ClickHouse: Separation of Storage and Compute](https://clickhouse.com/docs/en/guides/separation-storage-compute).
+Instead of hardcoding credentials, you can enable ClickHouse to fetch them dynamically from environment variables or Amazon EC2 instance metadata.
 
-### Install ClickHouse
+```plaintext
+<use_environment_credentials>true</use_environment_credentials>
+```  
 
-With the repositories set up and the `values.yaml` file prepared, the next step is to deploy ClickHouse.
+You can find more details on this at [ClickHouse: Separation of Storage and Compute](https://clickhouse.com/docs/en/guides/separation-storage-compute).
+
+## Install ClickHouse
 
-```bash
-helm install --create-namespace --namespace <NAMESPACE> clickhouse bitnami/clickhouse -f values.yaml 
 :::important
 If you do not wish to create a new namespace or install ClickHouse in a specific namespace, omit the arguments `--create-namespace --namespace <NAMESPACE>`.
 :::
 
-#### Confirm Clickhouse deployment
+With the repositories set up and the `values.yaml` file prepared, the next step is to deploy ClickHouse.
+
+```bash
+helm install --create-namespace --namespace <NAMESPACE> clickhouse bitnami/clickhouse -f values.yaml 
+```
+
+## Confirm ClickHouse deployment
+
+Confirm that ClickHouse is deployed using the following command:
 
 ```bash
 kubectl get pods -n <NAMESPACE>
+```
 
 ## Deploy Weave
 
 Weave is already available for automatic deployment via [W&B Operator](https://docs.wandb.ai/guides/hosting/operator/#wb-kubernetes-operator). With the W&B Platform installed, the next steps would be as follows:
 
-1. Edit the [CR instance](https://docs.wandb.ai/guides/hosting/operator/#complete-example) used to deploy the platform
+1. Edit the [CR instance](https://docs.wandb.ai/guides/hosting/operator/#complete-example) used to deploy the platform.
 2. Add the Weave configuration.
 
-### Gather information
-
-Use Kubernetes service details to configure Weave tracing:
-
-- **Endpoint**: `<release-name>-headless.<namespace>.svc.cluster.local`
-  - Replace `<release-name>` with your Helm release name.
-  - Replace `<namespace>` with your `NAMESPACE`.
-  - **Get the service details:** `kubectl get svc -n <namespace>`
-- **Username**: Set in the `values.yaml`
-- **Password**: Set in the `values.yaml`
-
-With this information, update the W&B Platform Custom Resource(CR) by adding the following configuration:
-
-```yaml
-apiVersion: apps.wandb.com/v1
-kind: WeightsAndBiases
-metadata:
-  labels:
-    app.kubernetes.io/name: weightsandbiases
-    app.kubernetes.io/instance: wandb
-  name: wandb
-  namespace: default
-spec:
-  values:
-    global:
-    [...]
-      clickhouse:
-        host: <release-name>-headless.<namespace>.svc.cluster.local
-        port: 8123
-        password: <password>
-        user: <username>
-        database: wandb_weave
-
-      weave-trace:
-        enabled: true
-    [...]
-    weave-trace:
-      install: true
-    [...]
-```
+## Gather information
+
+1. Use Kubernetes service details to configure Weave tracing:
+
+  - **Endpoint**: `<release-name>-headless.<namespace>.svc.cluster.local`
+    - Replace `<release-name>` with your Helm release name
+    - Replace `<namespace>` with your `NAMESPACE`
+    - Get the service details: `kubectl get svc -n <namespace>`
+  - **Username**: Set in the `values.yaml`
+  - **Password**: Set in the `values.yaml`
+
+2. With this information, update the W&B Platform Custom Resource(CR) by adding the following configuration:
+
+    ```yaml
+    apiVersion: apps.wandb.com/v1
+    kind: WeightsAndBiases
+    metadata:
+      labels:
+        app.kubernetes.io/name: weightsandbiases
+        app.kubernetes.io/instance: wandb
+      name: wandb
+      namespace: default
+    spec:
+      values:
+        global:
+        [...]
+          clickhouse:
+            host: <release-name>-headless.<namespace>.svc.cluster.local
+            port: 8123
+            password: <password>
+            user: <username>
+            database: wandb_weave
+
+          weave-trace:
+            enabled: true
+        [...]
+        weave-trace:
+          install: true
+        [...]
+    ```
 
 The final configuration may look like the example below:
 
@@ -368,13 +379,9 @@ spec:
       install: true
 ```
 
-With the Custom Resource (CR) prepared, apply the new configuration
+3. With the Custom Resource (CR) prepared, apply the new configuration:
 
-```bash
-kubectl apply -n <NAMESPACE> -f wandb.yaml
-
-:::tip
-For Weave to be functional, you'll need a Weave enabled license from W&B.
-To request a license, please reach out to support@wandb.com
-:::
+    ```bash
+    kubectl apply -n <NAMESPACE> -f wandb.yaml
+    ```
 

From 14c7dea2deeefd4dcfdcdd22150b14ae219f26e9 Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Fri, 31 Jan 2025 15:53:38 -0800
Subject: [PATCH 28/43] update docs (#3567)

---
 docs/docs/guides/tools/playground.md | 60 +++++++++++++++++++---------
 1 file changed, 42 insertions(+), 18 deletions(-)

diff --git a/docs/docs/guides/tools/playground.md b/docs/docs/guides/tools/playground.md
index d4372fedfffc..904ddac53eb4 100644
--- a/docs/docs/guides/tools/playground.md
+++ b/docs/docs/guides/tools/playground.md
@@ -16,11 +16,11 @@ Evaluating LLM prompts and responses is challenging. The Weave Playground is des
 Get started with the Playground to optimize your LLM interactions and streamline your prompt engineering process and LLM application development.
 
 - [Prerequisites](#prerequisites)
-   - [Add provider credentials and information](#add-provider-credentials-and-information)
-   - [Access the Playground](#access-the-playground)
+  - [Add provider credentials and information](#add-provider-credentials-and-information)
+  - [Access the Playground](#access-the-playground)
 - [Select an LLM](#select-an-llm)
 - [Adjust LLM parameters](#adjust-llm-parameters)
-- [Add a function](#add-a-function) 
+- [Add a function](#add-a-function)
 - [Retry, edit, and delete messages](#retry-edit-and-delete-messages)
 - [Add a new message](#add-a-new-message)
 - [Compare LLMs](#compare-llms)
@@ -28,11 +28,11 @@ Get started with the Playground to optimize your LLM interactions and streamline
 
 ## Prerequisites
 
-Before you can use Playground, you must [add provider credentials](#add-provider-credentials-and-information), and [open the Playground UI](#access-the-playground). 
+Before you can use Playground, you must [add provider credentials](#add-provider-credentials-and-information), and [open the Playground UI](#access-the-playground).
 
-### Add provider credentials and information 
+### Add provider credentials and information
 
-Playground currently supports OpenAI, Anthropic, Gemini, Groq, and Amazon Bedrock models.
+Playground currently supports OpenAI, Anthropic, Gemini, Groq, Amazon Bedrock, and Azure models.
 To use one of the available models, add the appropriate information to your team secrets in W&B settings.
 
 - OpenAI: `OPENAI_API_KEY`
@@ -40,19 +40,23 @@ To use one of the available models, add the appropriate information to your team
 - Google Gemini: `GOOGLE_API_KEY`
 - Groq: `GEMMA_API_KEY`
 - Amazon Bedrock:
-   - `AWS_ACCESS_KEY_ID`
-   - `AWS_SECRET_ACCESS_KEY`
-   - `AWS_REGION_NAME`
+  - `AWS_ACCESS_KEY_ID`
+  - `AWS_SECRET_ACCESS_KEY`
+  - `AWS_REGION_NAME`
+- Azure:
+  - `AZURE_API_KEY`
+  - `AZURE_API_BASE`
+  - `AZURE_API_VERSION`
 
 ### Access the Playground
 
 There are two ways to access the Playground:
 
-1. *Open a fresh Playground page with a simple system prompt*: In the sidebar, select **Playground**. Playground opens in the same tab.
-2. *Open Playground for a specific call*: 
-    1. In the sidebar, select the **Traces** tab. A list of traces displays.
-    2. In the list of traces, click the name of the call that you want to view. The call's details page opens.
-    3. Click **Open chat in playground**. Playground opens in a new tab.
+1. _Open a fresh Playground page with a simple system prompt_: In the sidebar, select **Playground**. Playground opens in the same tab.
+2. _Open Playground for a specific call_:
+   1. In the sidebar, select the **Traces** tab. A list of traces displays.
+   2. In the list of traces, click the name of the call that you want to view. The call's details page opens.
+   3. Click **Open chat in playground**. Playground opens in a new tab.
 
 ![Screenshot of Open in Playground button](imgs/open_chat_in_playground.png)
 
@@ -62,6 +66,7 @@ You can switch the LLM using the dropdown menu in the top left. The available mo
 
 - [Amazon Bedrock](#amazon-bedrock)
 - [Anthropic](#anthropic)
+- [Azure](#azure)
 - [Google Gemini](#gemini)
 - [Groq](#groq)
 - [OpenAI](#openai)
@@ -107,6 +112,20 @@ You can switch the LLM using the dropdown menu in the top left. The available mo
 - claude-3-opus-20240229
 - claude-3-sonnet-20240229
 
+### [Azure](../integrations/azure.md)
+
+- azure/o1-mini
+- azure/o1-mini-2024-09-12
+- azure/o1
+- azure/o1-preview
+- azure/o1-preview-2024-09-12
+- azure/gpt-4o
+- azure/gpt-4o-2024-08-06
+- azure/gpt-4o-2024-11-20
+- azure/gpt-4o-2024-05-13
+- azure/gpt-4o-mini
+- azure/gpt-4o-mini-2024-07-18
+
 ### [Google Gemini](../integrations/google-gemini.md)
 
 - gemini/gemini-1.5-flash-001
@@ -123,6 +142,8 @@ You can switch the LLM using the dropdown menu in the top left. The available mo
 - gemini/gemini-1.5-pro-latest
 - gemini/gemini-1.5-pro
 - gemini/gemini-pro
+- gemini/gemini-2.0-flash-exp
+- gemini/gemini-2.0-flash-thinking-exp
 
 ### [Groq](../integrations/groq.md)
 
@@ -159,6 +180,9 @@ You can switch the LLM using the dropdown menu in the top left. The available mo
 ### X.AI
 
 - xai/grok-beta
+- xai/grok-2-1212
+- xai/grok-2
+- xai/grok-2-latest
 
 ## Adjust LLM parameters
 
@@ -166,7 +190,7 @@ You can experiment with different parameter values for your selected model. To a
 
 1. In the upper right corner of the Playground UI, click **Chat settings** to open the parameter settings dropdown.
 2. In the dropdown, adjust parameters as desired. You can also toggle Weave call tracking on or off, and [add a function](#add-a-function).
-3. Click **Chat settings** to close the dropdown and save your changes. 
+3. Click **Chat settings** to close the dropdown and save your changes.
 
 ![Screenshot of Playground settings](imgs/playground_settings.png)
 
@@ -178,11 +202,11 @@ You can test how different models use functions based on input it receives from
 2. In the dropdown, click **+ Add function**.
 3. In the pop-up, add your function information.
 4. To save your changes and close the function pop-up, click the **x** in the upper right corner.
-3. Click **Chat settings** to close the settings dropdown and save your changes.
+5. Click **Chat settings** to close the settings dropdown and save your changes.
 
 ## Retry, edit, and delete messages
 
-With Playground, you can retry, edit, and delete messages. To use this feature,  hover over the message you want to edit, retry, or delete. Three buttons display: **Delete**, **Edit**, and **Retry**.
+With Playground, you can retry, edit, and delete messages. To use this feature, hover over the message you want to edit, retry, or delete. Three buttons display: **Delete**, **Edit**, and **Retry**.
 
 - **Delete**: Remove the message from the chat.
 - **Edit**: Modify the message content.
@@ -217,4 +241,4 @@ Playground allows you to compare LLMs. To perform a comparison, do the following
 Playground allows you to generate multiple outputs for the same input by setting the number of trials. The default setting is `1`. To adjust the number of trials, do the following:
 
 1. In the Playground UI, open the settings sidebar if it is not already open.
-2. Adjust the **Number of trials**.
\ No newline at end of file
+2. Adjust the **Number of trials**.

From f07a14df9484e8f0c61995522fedc24a50d077e6 Mon Sep 17 00:00:00 2001
From: Andrew Truong <itsandrewtruong@gmail.com>
Date: Fri, 31 Jan 2025 19:13:17 -0500
Subject: [PATCH 29/43] fix(weave_ts): Fix issue where concurrent streams could
 share the same state #3498

---
 .../__tests__/integrations/openai2.test.ts    |  4 +-
 sdks/node/src/__tests__/op.test.ts            | 94 +++++++++++++++++++
 sdks/node/src/integrations/openai.ts          |  4 +-
 sdks/node/src/op.ts                           |  4 +-
 sdks/node/src/opType.ts                       |  2 +-
 5 files changed, 101 insertions(+), 7 deletions(-)
 create mode 100644 sdks/node/src/__tests__/op.test.ts

diff --git a/sdks/node/src/__tests__/integrations/openai2.test.ts b/sdks/node/src/__tests__/integrations/openai2.test.ts
index 1e2f679c9db1..584c06c97cea 100644
--- a/sdks/node/src/__tests__/integrations/openai2.test.ts
+++ b/sdks/node/src/__tests__/integrations/openai2.test.ts
@@ -62,7 +62,7 @@ describe('OpenAI Integration', () => {
 
   describe('openAIStreamReducer', () => {
     it('should correctly reduce stream chunks for basic chat completion', () => {
-      const state = {...openAIStreamReducer.initialState};
+      const state = openAIStreamReducer.initialStateFn();
 
       const chunks = [
         {
@@ -128,7 +128,7 @@ describe('OpenAI Integration', () => {
     });
 
     it('should handle function calls in stream chunks', () => {
-      const state = {...openAIStreamReducer.initialState};
+      const state = openAIStreamReducer.initialStateFn();
 
       const chunks = [
         {
diff --git a/sdks/node/src/__tests__/op.test.ts b/sdks/node/src/__tests__/op.test.ts
new file mode 100644
index 000000000000..40adc3e6d456
--- /dev/null
+++ b/sdks/node/src/__tests__/op.test.ts
@@ -0,0 +1,94 @@
+import {op} from '../op';
+
+describe('op streaming', () => {
+  it('maintains isolated state for concurrent streams', async () => {
+    // Simple stream that emits numbers with some delay to ensure interleaving
+    async function* numberStream(id: string, nums: number[]) {
+      const startTime = Date.now();
+      for (const n of nums) {
+        const sleepTime = Math.floor(Math.random() * 40) + 10;
+        await new Promise(resolve => setTimeout(resolve, sleepTime));
+        yield {id, value: n, time: Date.now() - startTime};
+      }
+    }
+
+    // Create an op with a summing stream reducer
+    const streamReducer = {
+      initialStateFn: () => ({sum: 0, id: ''}),
+      reduceFn: (state: any, chunk: any) => ({
+        sum: state.sum + chunk.value,
+        id: chunk.id,
+      }),
+    };
+    const streamOp = op(numberStream, {streamReducer});
+
+    // Define a few streams to run concurrently
+    const testCases = [
+      {id: 'a', numbers: [1, 2, 3, 4, 5], expectedSum: 15},
+      {id: 'b', numbers: [10, 20, 30, 40, 50], expectedSum: 150},
+      {id: 'c', numbers: [100, 200, 300, 400, 500], expectedSum: 1500},
+      {id: 'd', numbers: [1000, 2000, 3000, 4000, 5000], expectedSum: 15000},
+      {id: 'e', numbers: [2, 4, 6, 8, 10], expectedSum: 30},
+    ];
+
+    // Store chunks and states for each stream
+    const results = testCases.map(() => ({
+      times: [] as number[],
+      chunks: [] as any[],
+      finalState: streamReducer.initialStateFn(),
+    }));
+
+    // Run all streams concurrently
+    const startTime = Date.now();
+    await Promise.all(
+      testCases.map(async (testCase, index) => {
+        const stream = await streamOp(testCase.id, testCase.numbers);
+        for await (const chunk of stream) {
+          results[index].times.push(Date.now() - startTime);
+          results[index].chunks.push(chunk);
+        }
+      })
+    );
+
+    // Verify concurrency by checking that we received chunks from different streams
+    // within a small time window
+    const allTimes = results
+      .flatMap((result, idx) =>
+        result.times.map(time => ({time, streamIndex: idx}))
+      )
+      .sort((a, b) => a.time - b.time);
+
+    // Check that within the first N chunks, we see at least 3 different streams
+    const firstNChunks = allTimes.slice(0, 5);
+    const uniqueStreamsEarly = new Set(firstNChunks.map(x => x.streamIndex))
+      .size;
+    expect(uniqueStreamsEarly).toBeGreaterThanOrEqual(3);
+
+    // Verify results for each stream
+    testCases.forEach((testCase, index) => {
+      // Collect just the chunk data (don't need the time)
+      const chunksWithoutTime = results[index].chunks.map(({id, value}) => ({
+        id,
+        value,
+      }));
+      expect(chunksWithoutTime).toEqual(
+        testCase.numbers.map(value => ({
+          id: testCase.id,
+          value,
+        }))
+      );
+
+      // Reduce chunks and confirm final state is as we expect
+      results[index].chunks.forEach(chunk => {
+        results[index].finalState = streamReducer.reduceFn(
+          results[index].finalState,
+          chunk
+        );
+      });
+      expect(results[index].finalState).toEqual({
+        sum: testCase.expectedSum,
+        id: testCase.id,
+      });
+    });
+  });
+});
diff --git a/sdks/node/src/integrations/openai.ts b/sdks/node/src/integrations/openai.ts
index c95587bbc2d9..96956a40e96f 100644
--- a/sdks/node/src/integrations/openai.ts
+++ b/sdks/node/src/integrations/openai.ts
@@ -4,7 +4,7 @@ import {OpOptions} from '../opType';
 
 // exported just for testing
 export const openAIStreamReducer = {
-  initialState: {
+  initialStateFn: () => ({
     id: '',
     object: 'chat.completion',
     created: 0,
@@ -21,7 +21,7 @@ export const openAIStreamReducer = {
       },
     ],
     usage: null,
-  },
+  }),
   reduceFn: (state: any, chunk: any) => {
     if (chunk.id) state.id = chunk.id;
     if (chunk.object) state.object = chunk.object;
diff --git a/sdks/node/src/op.ts b/sdks/node/src/op.ts
index a21a90c30fc8..602e3a3217b1 100644
--- a/sdks/node/src/op.ts
+++ b/sdks/node/src/op.ts
@@ -127,8 +127,8 @@ export function op<T extends (...args: any[]) => any>(
       });
 
       if (options?.streamReducer && Symbol.asyncIterator in result) {
-        const {initialState, reduceFn} = options.streamReducer;
-        let state = initialState;
+        const {initialStateFn, reduceFn} = options.streamReducer;
+        let state = initialStateFn();
 
         const wrappedIterator = {
           [Symbol.asyncIterator]: async function* () {
diff --git a/sdks/node/src/opType.ts b/sdks/node/src/opType.ts
index 7312aec42e0d..9f8c1e86d4c0 100644
--- a/sdks/node/src/opType.ts
+++ b/sdks/node/src/opType.ts
@@ -12,7 +12,7 @@ export type Op<T extends (...args: any[]) => any> = {
 } & T;
 
 interface StreamReducer<T, R> {
-  initialState: R;
+  initialStateFn: () => R;
   reduceFn: (state: R, chunk: T) => R;
 }
 

From fbe2f3ae135e3cb8268371444750fd70be12cd4d Mon Sep 17 00:00:00 2001
From: Ben Sherman <ben@wandb.com>
Date: Sat, 1 Feb 2025 10:07:13 -0800
Subject: [PATCH 30/43] chore(weave): make toast night aware (#3571)

---
 weave-js/src/common/components/elements/Toast.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/weave-js/src/common/components/elements/Toast.tsx b/weave-js/src/common/components/elements/Toast.tsx
index dfa98b62269f..9acb147a0fac 100644
--- a/weave-js/src/common/components/elements/Toast.tsx
+++ b/weave-js/src/common/components/elements/Toast.tsx
@@ -18,7 +18,7 @@ export const ToastContainer: FC = React.memo(() => {
     <ToastifyContainer
       position={toastify.POSITION.TOP_RIGHT}
       hideProgressBar={true}
-      className="toast-container"
+      className="toast-container night-aware"
       toastClassName="toast"
       transition={Slide}
       closeButton={createElement(({closeToast}: CloseButtonProps) => (

From 32cd9162c523b49a5921986994709b3114877365 Mon Sep 17 00:00:00 2001
From: J2-D2-3PO <188380414+J2-D2-3PO@users.noreply.github.com>
Date: Mon, 3 Feb 2025 11:00:56 -0700
Subject: [PATCH 31/43] docs(weave): Add Model + Weave Registry tutorial
 (#3450)

---
 .../Models_and_Weave_Integration_Demo.md      |  292 ++
 .../Models_and_Weave_Integration_Demo.ipynb   | 2388 +++++++++++++++++
 2 files changed, 2680 insertions(+)
 create mode 100644 docs/docs/reference/gen_notebooks/Models_and_Weave_Integration_Demo.md
 create mode 100644 docs/notebooks/Models_and_Weave_Integration_Demo.ipynb

diff --git a/docs/docs/reference/gen_notebooks/Models_and_Weave_Integration_Demo.md b/docs/docs/reference/gen_notebooks/Models_and_Weave_Integration_Demo.md
new file mode 100644
index 000000000000..909270acfc28
--- /dev/null
+++ b/docs/docs/reference/gen_notebooks/Models_and_Weave_Integration_Demo.md
@@ -0,0 +1,292 @@
+---
+title: Weave with W&B Models
+---
+
+:::tip[This is a notebook]
+
+<a href="https://colab.research.google.com/github/wandb/weave/blob/master/docs/./notebooks/Models_and_Weave_Integration_Demo.ipynb" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link button button--secondary button--med margin-right--sm notebook-cta-button"><div><img src="https://upload.wikimedia.org/wikipedia/commons/archive/d/d0/20221103151430%21Google_Colaboratory_SVG_Logo.svg" alt="Open In Colab" height="20px" /><div>Open in Colab</div></div></a>
+
+<a href="https://github.com/wandb/weave/blob/master/docs/./notebooks/Models_and_Weave_Integration_Demo.ipynb" target="_blank" rel="noopener noreferrer" class="navbar__item navbar__link button button--secondary button--med margin-right--sm notebook-cta-button"><div><img src="https://upload.wikimedia.org/wikipedia/commons/9/91/Octicons-mark-github.svg" alt="View in Github" height="15px" /><div>View in Github</div></div></a>
+
+:::
+
+
+# Use Weave with W&B Models
+
+This notebook demonstrates how to use W&B Weave with [W&B Models](https://docs.wandb.ai/guides/) using the scenario of two different teams working on an end-to-end implementation of a Retrieval-Augmented Generation (RAG) application, from fine-tuning the model to building an app around the model. Specifically, the Model Team fine-tunes a new Chat Model (Llama 3.2),and saves it to the [W&B Models Registry](https://docs.wandb.ai/guides/registry/). Then, the App Team retrieves the fine-tuned Chat Model from the Registry, and uses Weave to create and evaluate a RAG chatbot application
+
+The guide walks you through the following steps, which are the same steps that the teams in the described scenario would follow:
+
+1. Downloading a fine-tuned Llama 3.2 model registered in [W&B Models Registry](https://docs.wandb.ai/guides/registry/)
+2. Implementing a RAG application using the fine-tuned Llama 3.2 model 
+3. Tracking and evaluating the RAG application using Weave
+4. Registering the improved RAG app to Registry
+
+Find the public workspace for both W&B Models and W&B Weave [here](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/evaluations).
+
+<img src="https://github.com/NiWaRe/agent-dev-collection/blob/master/screenshots/weave_models_workflow.jpeg?raw=true"  alt="Weights & Biases" />
+
+
+
+
+
+
+## Prerequisites
+
+First, install the necessary libraries, set up API keys, log in to W&B, and create a new W&B project.
+
+1. Install `weave`, `pandas`, `unsloth`, `wandb`, `litellm`, `pydantic`, `torch`, and `faiss-gpu` using `pip`.
+
+
+```python
+%%capture
+!pip install weave wandb pandas pydantic litellm faiss-gpu
+```
+
+
+```python
+%%capture
+!pip install unsloth
+# Also get the latest nightly Unsloth!
+!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+```
+
+2. Add the necessary API keys from your environment.
+
+
+```python
+import os
+from google.colab import userdata
+
+os.environ["WANDB_API_KEY"] = userdata.get('WANDB_API_KEY')  # W&B Models and Weave
+os.environ["OPENAI_API_KEY"] = userdata.get('OPENAI_API_KEY') # OpenAI - for retrieval embeddings
+os.environ["GEMINI_API_KEY"] = userdata.get('GEMINI_API_KEY') # Gemini - for the base chat model
+```
+
+3. Log in to W&B, and create a new project.
+
+
+```python
+import wandb
+import weave
+import pandas as pd
+
+wandb.login()
+
+PROJECT = "weave-cookboook-demo"
+ENTITY = "wandb-smle"
+
+weave.init(ENTITY+"/"+PROJECT)
+```
+
+##  Download `ChatModel` from Models Registry and implement `UnslothLoRAChatModel`
+
+In our scenario, the Llama-3.2 model has already been fine-tuned by the Model Team using the `unsloth` library for performance optimization, and is [available in the W&B Models Registry](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-rag-experiments%2Fobjects%2FChatModelRag%2Fversions%2F2mhdPb667uoFlXStXtZ0MuYoxPaiAXj3KyLS1kYRi84%3F%26). In this step, we'll retrieve the fine-tuned [`ChatModel`](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-rag-experiments%2Fobjects%2FChatModelRag%2Fversions%2F2mhdPb667uoFlXStXtZ0MuYoxPaiAXj3KyLS1kYRi84%3F%26) from the Registry and convert it into a `weave.Model` to make it compatible with the [`RagModel`](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-cookboook-demo%2Fobjects%2FRagModel%2Fversions%2FcqRaGKcxutBWXyM0fCGTR1Yk2mISLsNari4wlGTwERo%3F%26). 
+
+:::important
+The `RagModel` referenced below is a top-level `weave.Model` that can be considered a complete RAG Application. It contains a `ChatModel`, vector database, and a prompt. The `ChatModel` is also a `weave.Model`, which contains code to download an artifact from the W&B Registry. `ChatModel` can be changed modularly to support any kind of other LLM chat model as part of the `RagModel`. For more information, [view the model in Weave](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/evaluations?peekPath=%2Fwandb-smle%2Fweave-cookboook-demo%2Fobjects%2FRagModel%2Fversions%2Fx7MzcgHDrGXYHHDQ9BA8N89qDwcGkdSdpxH30ubm8ZM%3F%26).
+:::
+
+To load the `ChatModel`, `unsloth.FastLanguageModel` or `peft.AutoPeftModelForCausalLM` with adapters are used, enabling efficient integration into the app. After downloading the model from the Registry, you can set up the initialization and prediction logic by using the `model_post_init` method. The required code for this step is available in the **Use** tab of the Registry and can be copied directly into your implementation
+
+The code below defines the `UnslothLoRAChatModel` class to manage, initialize, and use the fine-tuned Llama-3.2 model retrieved from the W&B Models Registry. `UnslothLoRAChatModel` uses `unsloth.FastLanguageModel` for optimized inference. The `model_post_init` method handles downloading and setting up the model, while the `predict` method processes user queries and generates responses. To adapt the code for your use case, update the `MODEL_REG_URL` with the correct Registry path for your fine-tuned model and adjust parameters like `max_seq_length` or `dtype` based on your hardware or requirements.
+
+
+
+```python
+import weave
+from pydantic import PrivateAttr
+from typing import Any, List, Dict, Optional
+from unsloth import FastLanguageModel
+import torch
+
+class UnslothLoRAChatModel(weave.Model):
+    """
+    We define an extra ChatModel class to be able store and version more parameters than just the model name.
+    Especially, relevant if we consider fine-tuning (locally or aaS) because of specific parameters.
+    """
+    chat_model: str
+    cm_temperature: float
+    cm_max_new_tokens: int
+    cm_quantize: bool
+    inference_batch_size: int
+    dtype: Any
+    device: str
+    _model: Any = PrivateAttr()
+    _tokenizer: Any = PrivateAttr()
+
+    def model_post_init(self, __context):
+      # we can simply paste this from the "Use" tab from the registry
+      run = wandb.init(project=PROJECT, job_type="model_download")
+      artifact = run.use_artifact(f"{self.chat_model}")
+      model_path = artifact.download()
+
+      # unsloth version (enable native 2x faster inference)
+      self._model, self._tokenizer = FastLanguageModel.from_pretrained(
+          model_name = model_path,
+          max_seq_length = self.cm_max_new_tokens,
+          dtype = self.dtype,
+          load_in_4bit = self.cm_quantize,
+      )
+      FastLanguageModel.for_inference(self._model)
+
+    @weave.op()
+    async def predict(self, query: List[str]) -> dict:
+      # add_generation_prompt = true - Must add for generation
+      input_ids = self._tokenizer.apply_chat_template(
+          query, tokenize = True, add_generation_prompt = True, return_tensors = "pt",
+      ).to("cuda")
+
+      output_ids = self._model.generate(
+          input_ids = input_ids, max_new_tokens = 64, use_cache = True, temperature = 1.5, min_p = 0.1
+      )
+
+      decoded_outputs = self._tokenizer.batch_decode(
+          output_ids[0][input_ids.shape[1]:], skip_special_tokens=True
+      )
+
+      return ''.join(decoded_outputs).strip()
+```
+
+
+```python
+MODEL_REG_URL = "wandb32/wandb-registry-RAG Chat Models/Finetuned Llama-3.2:v3"
+
+max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
+dtype = None          # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
+load_in_4bit = True   # Use 4bit quantization to reduce memory usage. Can be False.
+
+new_chat_model = UnslothLoRAChatModel(
+    name = "UnslothLoRAChatModelRag",
+    chat_model = MODEL_REG_URL,
+    cm_temperature = 1.0,
+    cm_max_new_tokens = max_seq_length,
+    cm_quantize = load_in_4bit,
+    inference_batch_size = max_seq_length,
+    dtype = dtype,
+    device = "auto",
+)
+```
+
+
+```python
+await new_chat_model.predict([{"role": "user", "content": "What is the capital of Germany?"}])
+```
+
+## Integrate the new `ChatModel` version into `RagModel`
+
+Building a RAG application from a fine-tuned chat model improves conversational AI by using tailored components without having to rebuild the entire pipeline. In this step, we retrieve the existing `RagModel` from our Weave project and update its `ChatModel` to use the newly fine-tuned model. This seamless swap means that other components like the vector database (VDB) and prompts remain untouched, preserving the application's overall structure while improving performance.
+
+The code below retrieves the `RagModel` object using a reference from the Weave project. The `chat_model` attribute of the `RagModel` is then updated to use the new `UnslothLoRAChatModel` instance created in the previous step. After this, the updated `RagModel` is published to create a new version. Finally, the updated `RagModel` is used to run a sample prediction query, verifying that the new chat model is being used. 
+
+
+
+```python
+RagModel = weave.ref("weave:///wandb-smle/weave-cookboook-demo/object/RagModel:cqRaGKcxutBWXyM0fCGTR1Yk2mISLsNari4wlGTwERo").get()
+```
+
+
+```python
+RagModel.chat_model.chat_model
+```
+
+
+```python
+await RagModel.predict("When was the first conference on climate change?")
+```
+
+
+```python
+# MAGIC: exchange chat_model and publish new version (no need to worry about other RAG components)
+RagModel.chat_model = new_chat_model
+```
+
+
+```python
+RagModel.chat_model.chat_model
+```
+
+
+```python
+# first publish new version so that in prediction we reference new version
+PUB_REFERENCE = weave.publish(RagModel, "RagModel")
+```
+
+
+```python
+await RagModel.predict("When was the first conference on climate change?")
+```
+
+## Run a `weave.Evaluation` 
+
+In the next step, we evaluate the performance of our updated `RagModel` using an existing `weave.Evaluation`. This process ensures that the new fine-tuned chat model is performing as expected within the RAG application. To streamline integration and enable collaboration between the Models and Apps teams, we log evaluation results for both the model's W&B run and as part of the Weave workspace.
+
+In Models:
+- The evaluation summary is logged to the W&B run used to download the fine-tuned chat model. This includes summary metrics and graphs displayed in a [workspace view](https://wandb.ai/wandb-smle/weave-cookboook-demo/workspace?nw=eglm8z7o9) for analysis.
+- The evaluation trace ID is added to the run's configuration, linking directly to the Weave page for easier traceability by the Model Team.
+
+In Weave:
+- The artifact or registry link for the `ChatModel` is stored as an input to the `RagModel`.
+- The W&B run ID is saved as an extra column in the evaluation traces for better context.
+
+The code below demonstrates how to retrieve an evaluation object, execute the evaluation using the updated `RagModel`, and log the results to both W&B and Weave. Ensure that the evaluation reference (`WEAVE_EVAL`) matches your project setup. 
+
+
+
+```python
+# MAGIC: we can simply get an evaluation with a eval dataset and scorers and use them
+WEAVE_EVAL = "weave:///wandb-smle/weave-cookboook-demo/object/climate_rag_eval:ntRX6qn3Tx6w3UEVZXdhIh1BWGh7uXcQpOQnIuvnSgo"
+climate_rag_eval = weave.ref(WEAVE_EVAL).get()
+```
+
+
+```python
+with weave.attributes({'wandb-run-id': wandb.run.id}):
+  # use .call attribute to retrieve both the result and the call in order to save eval trace to Models
+  summary, call = await climate_rag_eval.evaluate.call(climate_rag_eval, RagModel)
+```
+
+
+```python
+# log to models
+wandb.run.log(pd.json_normalize(summary, sep='/').to_dict(orient="records")[0])
+wandb.run.config.update({"weave_url": f"https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/{call.id}"})
+wandb.run.finish()
+```
+
+## Save the new RAG Model to the Registry
+
+To make the updated `RagModel` available for future use by both the Models and Apps teams, we push it to the W&B Models Registry as a reference artifact.
+
+The code below retrieves the `weave` object version and name for the updated `RagModel` and uses them to create reference links. A new artifact is then created in W&B with metadata containing the model's Weave URL. This artifact is logged to the W&B Registry and linked to a designated registry path.
+
+Before running the code, ensure the `ENTITY` and `PROJECT` variables match your W&B setup, and the target registry path is correctly specified. This process finalizes the workflow by publishing the new `RagModel` to the W&B ecosystem for easy collaboration and reuse.
+
+
+
+```python
+MODELS_OBJECT_VERSION = PUB_REFERENCE.digest # weave object version
+MODELS_OBJECT_NAME = PUB_REFERENCE.name # weave object name
+```
+
+
+```python
+models_url = f"https://wandb.ai/{ENTITY}/{PROJECT}/weave/objects/{MODELS_OBJECT_NAME}/versions/{MODELS_OBJECT_VERSION}"
+models_link = f"weave:///{ENTITY}/{PROJECT}/object/{MODELS_OBJECT_NAME}:{MODELS_OBJECT_VERSION}"
+
+with wandb.init(project=PROJECT, entity=ENTITY) as run:
+  # create new Artifact
+  artifact_model = wandb.Artifact(
+      name = "RagModel", type = "model", description="Models Link from RagModel in Weave", metadata={'url':models_url}
+  )
+  artifact_model.add_reference(models_link, name = "model", checksum = False)
+
+  # log new artifact
+  run.log_artifact(artifact_model, aliases=[MODELS_OBJECT_VERSION])
+
+  # link to registry
+  run.link_artifact(
+    artifact_model,
+    target_path="wandb32/wandb-registry-RAG Models/RAG Model"
+  )
+```
diff --git a/docs/notebooks/Models_and_Weave_Integration_Demo.ipynb b/docs/notebooks/Models_and_Weave_Integration_Demo.ipynb
new file mode 100644
index 000000000000..cf986f24d8de
--- /dev/null
+++ b/docs/notebooks/Models_and_Weave_Integration_Demo.ipynb
@@ -0,0 +1,2388 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "Z_U2yjSvQKje"
+   },
+   "source": [
+    "# Use Weave with W&B Models\n",
+    "\n",
+    "This notebook demonstrates how to use W&B Weave with [W&B Models](https://docs.wandb.ai/guides/) using the scenario of two different teams working on an end-to-end implementation of a Retrieval-Augmented Generation (RAG) application, from fine-tuning the model to building an app around the model. Specifically, the Model Team fine-tunes a new Chat Model (Llama 3.2),and saves it to the [W&B Models Registry](https://docs.wandb.ai/guides/registry/). Then, the App Team retrieves the fine-tuned Chat Model from the Registry, and uses Weave to create and evaluate a RAG chatbot application\n",
+    "\n",
+    "The guide walks you through the following steps, which are the same steps that the teams in the described scenario would follow:\n",
+    "\n",
+    "1. Downloading a fine-tuned Llama 3.2 model registered in [W&B Models Registry](https://docs.wandb.ai/guides/registry/)\n",
+    "2. Implementing a RAG application using the fine-tuned Llama 3.2 model \n",
+    "3. Tracking and evaluating the RAG application using Weave\n",
+    "4. Registering the improved RAG app to Registry\n",
+    "\n",
+    "Find the public workspace for both W&B Models and W&B Weave [here](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/evaluations).\n",
+    "\n",
+    "<img src=\"https://github.com/NiWaRe/agent-dev-collection/blob/master/screenshots/weave_models_workflow.jpeg?raw=true\"  alt=\"Weights & Biases\" />\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "HiSGvI1G--5g"
+   },
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "First, install the necessary libraries, set up API keys, log in to W&B, and create a new W&B project."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Install `weave`, `pandas`, `unsloth`, `wandb`, `litellm`, `pydantic`, `torch`, and `faiss-gpu` using `pip`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true,
+    "id": "TR2A-Mr623f4"
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "!pip install weave wandb pandas pydantic litellm faiss-gpu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true,
+    "id": "eKzwODgCRUxw"
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "!pip install unsloth\n",
+    "# Also get the latest nightly Unsloth!\n",
+    "!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "2. Add the necessary API keys from your environment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "95EfDKCT339H"
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "from google.colab import userdata\n",
+    "\n",
+    "os.environ[\"WANDB_API_KEY\"] = userdata.get(\"WANDB_API_KEY\")  # W&B Models and Weave\n",
+    "os.environ[\"OPENAI_API_KEY\"] = userdata.get(\n",
+    "    \"OPENAI_API_KEY\"\n",
+    ")  # OpenAI - for retrieval embeddings\n",
+    "os.environ[\"GEMINI_API_KEY\"] = userdata.get(\n",
+    "    \"GEMINI_API_KEY\"\n",
+    ")  # Gemini - for the base chat model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "3. Log in to W&B, and create a new project."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "NJ5RxK2X37ih"
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import wandb\n",
+    "\n",
+    "import weave\n",
+    "\n",
+    "wandb.login()\n",
+    "\n",
+    "PROJECT = \"weave-cookboook-demo\"\n",
+    "ENTITY = \"wandb-smle\"\n",
+    "\n",
+    "weave.init(ENTITY + \"/\" + PROJECT)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "SVbGavX9RHbk"
+   },
+   "source": [
+    "##  Download `ChatModel` from Models Registry and implement `UnslothLoRAChatModel`\n",
+    "\n",
+    "In our scenario, the Llama-3.2 model has already been fine-tuned by the Model Team using the `unsloth` library for performance optimization, and is [available in the W&B Models Registry](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-rag-experiments%2Fobjects%2FChatModelRag%2Fversions%2F2mhdPb667uoFlXStXtZ0MuYoxPaiAXj3KyLS1kYRi84%3F%26). In this step, we'll retrieve the fine-tuned [`ChatModel`](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-rag-experiments%2Fobjects%2FChatModelRag%2Fversions%2F2mhdPb667uoFlXStXtZ0MuYoxPaiAXj3KyLS1kYRi84%3F%26) from the Registry and convert it into a `weave.Model` to make it compatible with the [`RagModel`](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/object-versions?filter=%7B%22objectName%22%3A%22RagModel%22%7D&peekPath=%2Fwandb-smle%2Fweave-cookboook-demo%2Fobjects%2FRagModel%2Fversions%2FcqRaGKcxutBWXyM0fCGTR1Yk2mISLsNari4wlGTwERo%3F%26). \n",
+    "\n",
+    ":::important\n",
+    "The `RagModel` referenced below is a top-level `weave.Model` that can be considered a complete RAG Application. It contains a `ChatModel`, vector database, and a prompt. The `ChatModel` is also a `weave.Model`, which contains code to download an artifact from the W&B Registry. `ChatModel` can be changed modularly to support any kind of other LLM chat model as part of the `RagModel`. For more information, [view the model in Weave](https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/evaluations?peekPath=%2Fwandb-smle%2Fweave-cookboook-demo%2Fobjects%2FRagModel%2Fversions%2Fx7MzcgHDrGXYHHDQ9BA8N89qDwcGkdSdpxH30ubm8ZM%3F%26).\n",
+    ":::\n",
+    "\n",
+    "To load the `ChatModel`, `unsloth.FastLanguageModel` or `peft.AutoPeftModelForCausalLM` with adapters are used, enabling efficient integration into the app. After downloading the model from the Registry, you can set up the initialization and prediction logic by using the `model_post_init` method. The required code for this step is available in the **Use** tab of the Registry and can be copied directly into your implementation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The code below defines the `UnslothLoRAChatModel` class to manage, initialize, and use the fine-tuned Llama-3.2 model retrieved from the W&B Models Registry. `UnslothLoRAChatModel` uses `unsloth.FastLanguageModel` for optimized inference. The `model_post_init` method handles downloading and setting up the model, while the `predict` method processes user queries and generates responses. To adapt the code for your use case, update the `MODEL_REG_URL` with the correct Registry path for your fine-tuned model and adjust parameters like `max_seq_length` or `dtype` based on your hardware or requirements.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "collapsed": true,
+    "id": "Er1xN7d8SZrp",
+    "outputId": "d27fde39-4ff3-47a9-8e23-5779ac3cd7bd"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from typing import Any\n",
+    "\n",
+    "from pydantic import PrivateAttr\n",
+    "from unsloth import FastLanguageModel\n",
+    "\n",
+    "import weave\n",
+    "\n",
+    "\n",
+    "class UnslothLoRAChatModel(weave.Model):\n",
+    "    \"\"\"\n",
+    "    We define an extra ChatModel class to be able store and version more parameters than just the model name.\n",
+    "    Especially, relevant if we consider fine-tuning (locally or aaS) because of specific parameters.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    chat_model: str\n",
+    "    cm_temperature: float\n",
+    "    cm_max_new_tokens: int\n",
+    "    cm_quantize: bool\n",
+    "    inference_batch_size: int\n",
+    "    dtype: Any\n",
+    "    device: str\n",
+    "    _model: Any = PrivateAttr()\n",
+    "    _tokenizer: Any = PrivateAttr()\n",
+    "\n",
+    "    def model_post_init(self, __context):\n",
+    "        # we can simply paste this from the \"Use\" tab from the registry\n",
+    "        run = wandb.init(project=PROJECT, job_type=\"model_download\")\n",
+    "        artifact = run.use_artifact(f\"{self.chat_model}\")\n",
+    "        model_path = artifact.download()\n",
+    "\n",
+    "        # unsloth version (enable native 2x faster inference)\n",
+    "        self._model, self._tokenizer = FastLanguageModel.from_pretrained(\n",
+    "            model_name=model_path,\n",
+    "            max_seq_length=self.cm_max_new_tokens,\n",
+    "            dtype=self.dtype,\n",
+    "            load_in_4bit=self.cm_quantize,\n",
+    "        )\n",
+    "        FastLanguageModel.for_inference(self._model)\n",
+    "\n",
+    "    @weave.op()\n",
+    "    async def predict(self, query: list[str]) -> dict:\n",
+    "        # add_generation_prompt = true - Must add for generation\n",
+    "        input_ids = self._tokenizer.apply_chat_template(\n",
+    "            query,\n",
+    "            tokenize=True,\n",
+    "            add_generation_prompt=True,\n",
+    "            return_tensors=\"pt\",\n",
+    "        ).to(\"cuda\")\n",
+    "\n",
+    "        output_ids = self._model.generate(\n",
+    "            input_ids=input_ids,\n",
+    "            max_new_tokens=64,\n",
+    "            use_cache=True,\n",
+    "            temperature=1.5,\n",
+    "            min_p=0.1,\n",
+    "        )\n",
+    "\n",
+    "        decoded_outputs = self._tokenizer.batch_decode(\n",
+    "            output_ids[0][input_ids.shape[1] :], skip_special_tokens=True\n",
+    "        )\n",
+    "\n",
+    "        return \"\".join(decoded_outputs).strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 341,
+     "referenced_widgets": [
+      "104d05f136db4a7486df7d33cd42019c",
+      "c71e9cd5b2834f9c83fc1717d3089e0c",
+      "ac66b111d2e145fc8138527a36d74e11",
+      "4c18eaf65c364cd3801770299b6a8ad8",
+      "0635e51be4f04f93b9d6875fdf41d375",
+      "28dc7c34c2b54004b48a0b9ff65788bd",
+      "971d25e29f394ebfb6caf6ddfed9ef62",
+      "a605aaa7f55a421a8d2e4efd133b7c6c",
+      "079cf0f3fd6141c4ad54dcf4733267cd",
+      "5fb9295e5a07435ea5fc7d4fbd73d9f4",
+      "d7635bc901ef4510bd26cc572e2c7989",
+      "5c350ac4c2e14cc6976e00b796a44a07",
+      "24ab27958b7a434181e9d14ddd383e3c",
+      "07042d3c72d9477288d8a56490125144",
+      "ca13b345bd5145848f37471d6301c4af",
+      "6fb57f90ca1942deb2fef3009db895c5",
+      "b74eb8227e8440c7a22d9673e85de7c1",
+      "ba2bb6cb27d0408ca61d62b4c2add78e",
+      "82752aa8c4934176919afaa4720f4b89",
+      "6a17a4904d234613b285fb1fa345fcab",
+      "3693c0f425e34c79a1ddc7c0b3855641",
+      "33b02d17894a4e3cbbdadd61ab1f70cd"
+     ]
+    },
+    "collapsed": true,
+    "id": "nQnjivD-UOAq",
+    "outputId": "623d0e92-ed3e-41ad-e131-d595e2d68849"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "Tracking run with wandb version 0.18.3"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Run data is saved locally in <code>/content/wandb/run-20241016_185224-sebf0q7n</code>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Syncing run <strong><a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/sebf0q7n' target=\"_blank\">decent-pyramid-46</a></strong> to <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/run' target=\"_blank\">docs</a>)<br/>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View project at <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View run at <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/sebf0q7n' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/sebf0q7n</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[34m\u001b[1mwandb\u001b[0m: Downloading large artifact Finetuned Llama-3.2:v3, 101.53MB. 8 files... \n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m:   8 of 8 files downloaded.  \n",
+      "Done. 0:0:3.8\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "==((====))==  Unsloth 2024.10.0: Fast Llama patching. Transformers = 4.44.2.\n",
+      "   \\\\   /|    GPU: Tesla T4. Max memory: 14.748 GB. Platform = Linux.\n",
+      "O^O/ \\_/ \\    Pytorch: 2.4.1+cu121. CUDA = 7.5. CUDA Toolkit = 12.1.\n",
+      "\\        /    Bfloat16 = FALSE. FA [Xformers = 0.0.28.post1. FA2 = False]\n",
+      " \"-____-\"     Free Apache license: http://github.com/unslothai/unsloth\n",
+      "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "104d05f136db4a7486df7d33cd42019c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/2.24G [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5c350ac4c2e14cc6976e00b796a44a07",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "generation_config.json:   0%|          | 0.00/184 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Unsloth 2024.10.0 patched 28 layers with 28 QKV layers, 28 O layers and 28 MLP layers.\n"
+     ]
+    }
+   ],
+   "source": [
+    "MODEL_REG_URL = \"wandb32/wandb-registry-RAG Chat Models/Finetuned Llama-3.2:v3\"\n",
+    "\n",
+    "max_seq_length = 2048  # Choose any! We auto support RoPE Scaling internally!\n",
+    "dtype = (\n",
+    "    None  # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n",
+    ")\n",
+    "load_in_4bit = True  # Use 4bit quantization to reduce memory usage. Can be False.\n",
+    "\n",
+    "new_chat_model = UnslothLoRAChatModel(\n",
+    "    name=\"UnslothLoRAChatModelRag\",\n",
+    "    chat_model=MODEL_REG_URL,\n",
+    "    cm_temperature=1.0,\n",
+    "    cm_max_new_tokens=max_seq_length,\n",
+    "    cm_quantize=load_in_4bit,\n",
+    "    inference_batch_size=max_seq_length,\n",
+    "    dtype=dtype,\n",
+    "    device=\"auto\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 89
+    },
+    "id": "l2BwLe88fzV0",
+    "outputId": "29740589-ede9-45e5-ecac-0604f03922e1"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🍩 https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/019296ad-9446-7f92-8261-8fe16ab68ccb\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "string"
+      },
+      "text/plain": [
+       "'The capital of Germany is Berlin.'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await new_chat_model.predict(\n",
+    "    [{\"role\": \"user\", \"content\": \"What is the capital of Germany?\"}]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "ffttTqrDRSkH"
+   },
+   "source": [
+    "## Integrate the new `ChatModel` version into `RagModel`\n",
+    "\n",
+    "Building a RAG application from a fine-tuned chat model improves conversational AI by using tailored components without having to rebuild the entire pipeline. In this step, we retrieve the existing `RagModel` from our Weave project and update its `ChatModel` to use the newly fine-tuned model. This seamless swap means that other components like the vector database (VDB) and prompts remain untouched, preserving the application's overall structure while improving performance.\n",
+    "\n",
+    "The code below retrieves the `RagModel` object using a reference from the Weave project. The `chat_model` attribute of the `RagModel` is then updated to use the new `UnslothLoRAChatModel` instance created in the previous step. After this, the updated `RagModel` is published to create a new version. Finally, the updated `RagModel` is used to run a sample prediction query, verifying that the new chat model is being used. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "2K69NJTTg1fr"
+   },
+   "outputs": [],
+   "source": [
+    "RagModel = weave.ref(\n",
+    "    \"weave:///wandb-smle/weave-cookboook-demo/object/RagModel:cqRaGKcxutBWXyM0fCGTR1Yk2mISLsNari4wlGTwERo\"\n",
+    ").get()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 35
+    },
+    "id": "lkunDX7Qk3DV",
+    "outputId": "ab6a0c31-15f1-4016-a154-faba5ed2a4e8"
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "string"
+      },
+      "text/plain": [
+       "'gemini/gemini-1.5-flash'"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RagModel.chat_model.chat_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "collapsed": true,
+    "id": "wxWaGYo0j7My",
+    "outputId": "410a880f-e22c-4c86-aa2f-2e050df6f684"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🍩 https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/019296b1-183a-76a0-9d69-74dff9aba43e\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'result': {'content': \"I don't know. \\n\",\n",
+       "  'role': 'assistant',\n",
+       "  'tool_calls': None,\n",
+       "  'function_call': None},\n",
+       " 'source_documents': [{'title': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'title')),\n",
+       "   'type': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'type')),\n",
+       "   'url': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'url')),\n",
+       "   'page_content': 'Engaging Indigenous Peoples and local communities using just-transition and implemented through rights-based decision-making approaches, collective and participatory decision-making processes has enabled deeper ambition and accelerated action in different ways, and at all scales, depending on national circumstances (medium confidence). The media helps shape the public discourse about climate change. This can usefully build public support to accelerate climate action (medium evidence, high agreement). In some instances, public discourses of media and organised counter movements have impeded climate action, exacerbating helplessness and disinformation and fuelling polarisation, with negative implications for climate action (medium confidence). {WGII SPM C.5.1, WGII SPM D.2, WGII TS.D.9, WGII TS.D.9.7, WGII TS.E.2.1, WGII 18.4; WGIII SPM D.3.3, WGIII SPM E.3.3, WGIII TS.6.1, WGIII 6.7, WGIII 13 ES, WGIII Box.13.7} Loss & Damage82 was formally recognized in 2013 through establishment of the Warsaw International Mechanism on Loss and Damage (WIM), and in 2015, Article 8 of the Paris Agreement provided a legal basis for the WIM. There is improved understanding of both economic and non-economic losses and damages, which is informing international climate policy and which has highlighted that losses and damages are not comprehensively addressed by current financial, governance and institutional arrangements, particularly in vulnerable developing countries (high confidence). {WGII SPM C.3.5, WGII Cross-Chapter Box LOSS} Other recent global agreements that influence responses to climate change include the Sendai Framework for Disaster Risk Reduction (2015-2030), the finance-oriented Addis Ababa Action Agenda (2015) and the New Urban Agenda (2016), and the Kigali Amendment to the Montreal Protocol on Substances that Deplete the Ozone Layer (2016), among others. In addition, the 2030 Agenda for Sustainable Development, adopted in 2015 by UN member states, sets out 17 Sustainable Development Goals (SDGs) and seeks to align efforts globally to prioritise ending extreme poverty, protect the planet and promote more peaceful, prosperous and inclusive societies. If achieved, these agreements would reduce climate change, and the impacts on health, well-being, migration, and conflict, among others (very high confidence). {WGII TS.A.1, WGII 7 ES} Since AR5, rising public awareness and an increasing diversity of actors, have overall helped accelerate political commitment and global efforts to address climate change (medium 2.2.2. Mitigation Actions to Date There has been a consistent expansion of policies and laws addressing mitigation since AR5 (high confidence). Climate governance supports mitigation by providing frameworks through which diverse actors interact, and a basis for policy development and implementation (medium confidence). Many regulatory and economic instruments have already been deployed successfully (high confidence). By 2020, laws primarily focussed on reducing GHG emissions existed in 56 countries covering 53% of global emissions (medium confidence). The application of diverse policy instruments for mitigation at the national and sub-national levels has grown consistently across a range of sectors (high confidence). Policy coverage is uneven across sectors and remains limited for emissions from agriculture, and from industrial materials and feedstocks (high confidence). {WGIII SPM B.5, WGIII SPM B.5.2, WGIII SPM E.3, WGIII SPM E.4} Practical experience has instrument design and helped to improve predictability, environmental effectiveness, economic',\n",
+       "   'metadata': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'metadata'))},\n",
+       "  {'title': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'title')),\n",
+       "   'type': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'type')),\n",
+       "   'url': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'url')),\n",
+       "   'page_content': 'B.2.4; WGIII SPM B.3.1; SROCC SPM A.7.1, SROCC SPM A.7.2} impacts Climate change has caused widespread adverse and related losses and damages to nature and people (high confidence). Losses and damages are unequally distributed across systems, regions and sectors (high confidence). Cultural losses, related 80 See Annex 1: Glossary. 81 Governance: The structures, processes and actions through which private and public actors interact to address societal goals. This includes formal and informal institutions and the associated norms, rules, laws and procedures for deciding, managing, implementing and monitoring policies and measures at any geographic or political scale, from global to local. {WGII SPM Footnote 31} 51 S e c t i o n 2 S e c t i o n S e c t i o n 2 1 Section 2 2.2 Responses Undertaken to Date International climate agreements, rising national ambitions for climate action, along with rising public awareness are accelerating efforts to address climate change at multiple levels of governance. Mitigation policies have contributed to a decrease in global energy and carbon intensity, with several countries achieving GHG emission reductions for over a decade. Low-emission technologies are becoming more affordable, with many low or zero emissions options now available for energy, buildings, transport, and industry. Adaptation planning and implementation progress has generated multiple benefits, with effective adaptation options having the potential to reduce climate risks and contribute to sustainable development. Global tracked finance for mitigation and adaptation has seen an upward trend since AR5, but falls short of needs. (high confidence) 2.2.1. Global Policy Setting The United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol, and Paris Agreement are supporting rising levels of national ambition and encouraging the development and implementation of climate policies at multiple levels of governance (high confidence). The Kyoto Protocol led to reduced emissions in some countries and was instrumental in building national and international capacity for GHG reporting, accounting and emissions markets (high confidence). The Paris Agreement, adopted under the UNFCCC, with near universal participation, has led to policy development and target-setting at national and sub-national levels, particularly in relation to mitigation but also for adaptation, as well as enhanced transparency of climate action and support (medium confidence). Nationally Determined Contributions (NDCs), required under the Paris Agreement, have required countries to articulate their priorities and ambition with respect to climate action. {WGII 17.4, WGII TS D.1.1; WGIII SPM B.5.1, WGIII SPM E.6} confidence). Mass social movements have emerged as catalysing agents in some regions, often building on prior movements including Indigenous Peoples-led movements, youth movements, human rights movements, gender activism, and climate litigation, which is raising awareness and, in some cases, has influenced the outcome and ambition of climate governance (medium confidence). Engaging Indigenous Peoples and local communities using just-transition and implemented through rights-based decision-making approaches, collective and participatory decision-making processes has enabled deeper ambition and accelerated action in different ways, and at all scales, depending on national circumstances (medium confidence). The media helps shape the public discourse about climate change. This',\n",
+       "   'metadata': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'metadata'))}]}"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await RagModel.predict(\"When was the first conference on climate change?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true,
+    "id": "vZTs9Q0Lq0nz"
+   },
+   "outputs": [],
+   "source": [
+    "# MAGIC: exchange chat_model and publish new version (no need to worry about other RAG components)\n",
+    "RagModel.chat_model = new_chat_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 35
+    },
+    "id": "V2biCY_2jhr_",
+    "outputId": "6f7fe671-163e-458e-abcf-c741a74a2797"
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "string"
+      },
+      "text/plain": [
+       "'wandb32/wandb-registry-RAG Chat Models/Finetuned Llama-3.2:v3'"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RagModel.chat_model.chat_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "z1YVB3bYq2US",
+    "outputId": "df158b09-c588-486e-8848-7553cf643ee4"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "📦 Published to https://wandb.ai/wandb-smle/weave-cookboook-demo/weave/objects/RagModel/versions/52kphTk2726ZUTp9Cx5Pe5ntpMzSD9fIu4j50RfnSxs\n"
+     ]
+    }
+   ],
+   "source": [
+    "# first publish new version so that in prediction we reference new version\n",
+    "PUB_REFERENCE = weave.publish(RagModel, \"RagModel\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "collapsed": true,
+    "id": "6JKXOzhJjpTZ",
+    "outputId": "fd95ea9f-c6b2-4c9c-bc08-9f36615b0702"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🍩 https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/019296b1-8451-7a12-8b01-9f7f3f85a8ab\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'result': 'The first international conference on climate change was held in 1990 in Geneva, Switzerland, during the United Nations Conference on Environment and Development, also known as the Earth Summit. This conference was convened by the United Nations to address global environmental issues and promote sustainable development. The Geneva Climate Change Conference, as it came to be',\n",
+       " 'source_documents': [{'title': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'title')),\n",
+       "   'type': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'type')),\n",
+       "   'url': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'url')),\n",
+       "   'page_content': 'Engaging Indigenous Peoples and local communities using just-transition and implemented through rights-based decision-making approaches, collective and participatory decision-making processes has enabled deeper ambition and accelerated action in different ways, and at all scales, depending on national circumstances (medium confidence). The media helps shape the public discourse about climate change. This can usefully build public support to accelerate climate action (medium evidence, high agreement). In some instances, public discourses of media and organised counter movements have impeded climate action, exacerbating helplessness and disinformation and fuelling polarisation, with negative implications for climate action (medium confidence). {WGII SPM C.5.1, WGII SPM D.2, WGII TS.D.9, WGII TS.D.9.7, WGII TS.E.2.1, WGII 18.4; WGIII SPM D.3.3, WGIII SPM E.3.3, WGIII TS.6.1, WGIII 6.7, WGIII 13 ES, WGIII Box.13.7} Loss & Damage82 was formally recognized in 2013 through establishment of the Warsaw International Mechanism on Loss and Damage (WIM), and in 2015, Article 8 of the Paris Agreement provided a legal basis for the WIM. There is improved understanding of both economic and non-economic losses and damages, which is informing international climate policy and which has highlighted that losses and damages are not comprehensively addressed by current financial, governance and institutional arrangements, particularly in vulnerable developing countries (high confidence). {WGII SPM C.3.5, WGII Cross-Chapter Box LOSS} Other recent global agreements that influence responses to climate change include the Sendai Framework for Disaster Risk Reduction (2015-2030), the finance-oriented Addis Ababa Action Agenda (2015) and the New Urban Agenda (2016), and the Kigali Amendment to the Montreal Protocol on Substances that Deplete the Ozone Layer (2016), among others. In addition, the 2030 Agenda for Sustainable Development, adopted in 2015 by UN member states, sets out 17 Sustainable Development Goals (SDGs) and seeks to align efforts globally to prioritise ending extreme poverty, protect the planet and promote more peaceful, prosperous and inclusive societies. If achieved, these agreements would reduce climate change, and the impacts on health, well-being, migration, and conflict, among others (very high confidence). {WGII TS.A.1, WGII 7 ES} Since AR5, rising public awareness and an increasing diversity of actors, have overall helped accelerate political commitment and global efforts to address climate change (medium 2.2.2. Mitigation Actions to Date There has been a consistent expansion of policies and laws addressing mitigation since AR5 (high confidence). Climate governance supports mitigation by providing frameworks through which diverse actors interact, and a basis for policy development and implementation (medium confidence). Many regulatory and economic instruments have already been deployed successfully (high confidence). By 2020, laws primarily focussed on reducing GHG emissions existed in 56 countries covering 53% of global emissions (medium confidence). The application of diverse policy instruments for mitigation at the national and sub-national levels has grown consistently across a range of sectors (high confidence). Policy coverage is uneven across sectors and remains limited for emissions from agriculture, and from industrial materials and feedstocks (high confidence). {WGIII SPM B.5, WGIII SPM B.5.2, WGIII SPM E.3, WGIII SPM E.4} Practical experience has instrument design and helped to improve predictability, environmental effectiveness, economic',\n",
+       "   'metadata': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'metadata'))},\n",
+       "  {'title': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'title')),\n",
+       "   'type': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'type')),\n",
+       "   'url': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'url')),\n",
+       "   'page_content': 'B.2.4; WGIII SPM B.3.1; SROCC SPM A.7.1, SROCC SPM A.7.2} impacts Climate change has caused widespread adverse and related losses and damages to nature and people (high confidence). Losses and damages are unequally distributed across systems, regions and sectors (high confidence). Cultural losses, related 80 See Annex 1: Glossary. 81 Governance: The structures, processes and actions through which private and public actors interact to address societal goals. This includes formal and informal institutions and the associated norms, rules, laws and procedures for deciding, managing, implementing and monitoring policies and measures at any geographic or political scale, from global to local. {WGII SPM Footnote 31} 51 S e c t i o n 2 S e c t i o n S e c t i o n 2 1 Section 2 2.2 Responses Undertaken to Date International climate agreements, rising national ambitions for climate action, along with rising public awareness are accelerating efforts to address climate change at multiple levels of governance. Mitigation policies have contributed to a decrease in global energy and carbon intensity, with several countries achieving GHG emission reductions for over a decade. Low-emission technologies are becoming more affordable, with many low or zero emissions options now available for energy, buildings, transport, and industry. Adaptation planning and implementation progress has generated multiple benefits, with effective adaptation options having the potential to reduce climate risks and contribute to sustainable development. Global tracked finance for mitigation and adaptation has seen an upward trend since AR5, but falls short of needs. (high confidence) 2.2.1. Global Policy Setting The United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol, and Paris Agreement are supporting rising levels of national ambition and encouraging the development and implementation of climate policies at multiple levels of governance (high confidence). The Kyoto Protocol led to reduced emissions in some countries and was instrumental in building national and international capacity for GHG reporting, accounting and emissions markets (high confidence). The Paris Agreement, adopted under the UNFCCC, with near universal participation, has led to policy development and target-setting at national and sub-national levels, particularly in relation to mitigation but also for adaptation, as well as enhanced transparency of climate action and support (medium confidence). Nationally Determined Contributions (NDCs), required under the Paris Agreement, have required countries to articulate their priorities and ambition with respect to climate action. {WGII 17.4, WGII TS D.1.1; WGIII SPM B.5.1, WGIII SPM E.6} confidence). Mass social movements have emerged as catalysing agents in some regions, often building on prior movements including Indigenous Peoples-led movements, youth movements, human rights movements, gender activism, and climate litigation, which is raising awareness and, in some cases, has influenced the outcome and ambition of climate governance (medium confidence). Engaging Indigenous Peoples and local communities using just-transition and implemented through rights-based decision-making approaches, collective and participatory decision-making processes has enabled deeper ambition and accelerated action in different ways, and at all scales, depending on national circumstances (medium confidence). The media helps shape the public discourse about climate change. This',\n",
+       "   'metadata': ObjectRef(entity='wandb-smle', project='weave-rag-experiments', name='raw_data', digest='YYrLabVlQ0NWkYcSy3ebbUaYbeJPibSxglwPCMAhamY', extra=('attr', 'rows', 'id', '0tJHKSXpQe1bmAiBe41iGnvuDzYuOYN8U01ilj1cjrk', 'key', 'metadata'))}]}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await RagModel.predict(\"When was the first conference on climate change?\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "FyrA3OERg35D"
+   },
+   "source": [
+    "## Run a `weave.Evaluation` \n",
+    "\n",
+    "In the next step, we evaluate the performance of our updated `RagModel` using an existing `weave.Evaluation`. This process ensures that the new fine-tuned chat model is performing as expected within the RAG application. To streamline integration and enable collaboration between the Models and Apps teams, we log evaluation results for both the model's W&B run and as part of the Weave workspace.\n",
+    "\n",
+    "In Models:\n",
+    "- The evaluation summary is logged to the W&B run used to download the fine-tuned chat model. This includes summary metrics and graphs displayed in a [workspace view](https://wandb.ai/wandb-smle/weave-cookboook-demo/workspace?nw=eglm8z7o9) for analysis.\n",
+    "- The evaluation trace ID is added to the run's configuration, linking directly to the Weave page for easier traceability by the Model Team.\n",
+    "\n",
+    "In Weave:\n",
+    "- The artifact or registry link for the `ChatModel` is stored as an input to the `RagModel`.\n",
+    "- The W&B run ID is saved as an extra column in the evaluation traces for better context.\n",
+    "\n",
+    "The code below demonstrates how to retrieve an evaluation object, execute the evaluation using the updated `RagModel`, and log the results to both W&B and Weave. Ensure that the evaluation reference (`WEAVE_EVAL`) matches your project setup. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "nrFn_viXKsDE"
+   },
+   "outputs": [],
+   "source": [
+    "# MAGIC: we can simply get an evaluation with a eval dataset and scorers and use them\n",
+    "WEAVE_EVAL = \"weave:///wandb-smle/weave-cookboook-demo/object/climate_rag_eval:ntRX6qn3Tx6w3UEVZXdhIh1BWGh7uXcQpOQnIuvnSgo\"\n",
+    "climate_rag_eval = weave.ref(WEAVE_EVAL).get()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 527
+    },
+    "id": "IL5dT2iIrs3d",
+    "outputId": "1659ea0c-4315-49ea-b20d-5e796b92cbcc"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m1\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m2\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m3\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m4\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m5\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m6\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m7\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">8</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m8\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluated <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> of <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9</span> examples\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluated \u001b[1;36m9\u001b[0m of \u001b[1;36m9\u001b[0m examples\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Multi-Judge Correctness Calculation: 2it [00:00, 88.40it/s]\n",
+      "Multi-Judge Hallucination Calculation: 2it [00:00, 84.32it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Evaluation summary\n",
+       "<span style=\"font-weight: bold\">{</span>\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'Performance Metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Correctness'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'gpt-4o-mini'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3333333333333333</span>,\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'claude-3-haiku-20240307'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8888888888888888</span>,\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'Total Avg'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6111111111111112</span>\n",
+       "        <span style=\"font-weight: bold\">}</span>,\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'Nr1_Retrieval'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'Safety Metrics'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "        <span style=\"color: #008000; text-decoration-color: #008000\">'No Hallucination'</span>: <span style=\"font-weight: bold\">{</span>\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'gpt-4o-mini'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.2222222222222222</span>,\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'claude-3-haiku-20240307'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.4444444444444444</span>,\n",
+       "            <span style=\"color: #008000; text-decoration-color: #008000\">'Total Avg'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3333333333333333</span>\n",
+       "        <span style=\"font-weight: bold\">}</span>\n",
+       "    <span style=\"font-weight: bold\">}</span>,\n",
+       "    <span style=\"color: #008000; text-decoration-color: #008000\">'model_latency'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'mean'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.077825360827976</span><span style=\"font-weight: bold\">}</span>\n",
+       "<span style=\"font-weight: bold\">}</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Evaluation summary\n",
+       "\u001b[1m{\u001b[0m\n",
+       "    \u001b[32m'Performance Metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'Correctness'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "            \u001b[32m'gpt-4o-mini'\u001b[0m: \u001b[1;36m0.3333333333333333\u001b[0m,\n",
+       "            \u001b[32m'claude-3-haiku-20240307'\u001b[0m: \u001b[1;36m0.8888888888888888\u001b[0m,\n",
+       "            \u001b[32m'Total Avg'\u001b[0m: \u001b[1;36m0.6111111111111112\u001b[0m\n",
+       "        \u001b[1m}\u001b[0m,\n",
+       "        \u001b[32m'Nr1_Retrieval'\u001b[0m: \u001b[1;36m0.0\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m,\n",
+       "    \u001b[32m'Safety Metrics'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "        \u001b[32m'No Hallucination'\u001b[0m: \u001b[1m{\u001b[0m\n",
+       "            \u001b[32m'gpt-4o-mini'\u001b[0m: \u001b[1;36m0.2222222222222222\u001b[0m,\n",
+       "            \u001b[32m'claude-3-haiku-20240307'\u001b[0m: \u001b[1;36m0.4444444444444444\u001b[0m,\n",
+       "            \u001b[32m'Total Avg'\u001b[0m: \u001b[1;36m0.3333333333333333\u001b[0m\n",
+       "        \u001b[1m}\u001b[0m\n",
+       "    \u001b[1m}\u001b[0m,\n",
+       "    \u001b[32m'model_latency'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'mean'\u001b[0m: \u001b[1;36m5.077825360827976\u001b[0m\u001b[1m}\u001b[0m\n",
+       "\u001b[1m}\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🍩 https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/019296b2-0366-78a0-8d65-f2c5e587f6f8\n"
+     ]
+    }
+   ],
+   "source": [
+    "with weave.attributes({\"wandb-run-id\": wandb.run.id}):\n",
+    "    # use .call attribute to retrieve both the result and the call in order to save eval trace to Models\n",
+    "    summary, call = await climate_rag_eval.evaluate.call(climate_rag_eval, RagModel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 530,
+     "referenced_widgets": [
+      "3c69064dc7e74bda8bc7f0b0992b7536",
+      "51346d44e0d54dee9725aaa034f20de2",
+      "119f66d0f3154b91aaea88deaa7632a8",
+      "1669927ff77a499d853638c9ee2d273f",
+      "544ddac0bda04c25a04106b253636577",
+      "3d243eb666e54b9381819fd100c5fa7a",
+      "9e41f88cbc044b97b305196d602e63c8",
+      "bb57bd1899d04f00a51889a168d95093"
+     ]
+    },
+    "id": "bzBFTxDe2p9M",
+    "outputId": "71544931-42ff-4cab-fba8-844f7bcfde20"
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3c69064dc7e74bda8bc7f0b0992b7536",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(Label(value='2.112 MB of 2.112 MB uploaded\\r'), FloatProgress(value=1.0, max=1.0)))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "    table.wandb td:nth-child(1) { padding: 0 10px; text-align: left ; width: auto;} td:nth-child(2) {text-align: left ; width: 100%}\n",
+       "    .wandb-row { display: flex; flex-direction: row; flex-wrap: wrap; justify-content: flex-start; width: 100% }\n",
+       "    .wandb-col { display: flex; flex-direction: column; flex-basis: 100%; flex: 1; padding: 10px; }\n",
+       "    </style>\n",
+       "<div class=\"wandb-row\"><div class=\"wandb-col\"><h3>Run history:</h3><br/><table class=\"wandb\"><tr><td>Performance Metrics/Correctness/Total Avg</td><td>▁</td></tr><tr><td>Performance Metrics/Correctness/claude-3-haiku-20240307</td><td>▁</td></tr><tr><td>Performance Metrics/Correctness/gpt-4o-mini</td><td>▁</td></tr><tr><td>Performance Metrics/Nr1_Retrieval</td><td>▁</td></tr><tr><td>Safety Metrics/No Hallucination/Total Avg</td><td>▁</td></tr><tr><td>Safety Metrics/No Hallucination/claude-3-haiku-20240307</td><td>▁</td></tr><tr><td>Safety Metrics/No Hallucination/gpt-4o-mini</td><td>▁</td></tr><tr><td>model_latency/mean</td><td>▁</td></tr></table><br/></div><div class=\"wandb-col\"><h3>Run summary:</h3><br/><table class=\"wandb\"><tr><td>Performance Metrics/Correctness/Total Avg</td><td>0.61111</td></tr><tr><td>Performance Metrics/Correctness/claude-3-haiku-20240307</td><td>0.88889</td></tr><tr><td>Performance Metrics/Correctness/gpt-4o-mini</td><td>0.33333</td></tr><tr><td>Performance Metrics/Nr1_Retrieval</td><td>0</td></tr><tr><td>Safety Metrics/No Hallucination/Total Avg</td><td>0.33333</td></tr><tr><td>Safety Metrics/No Hallucination/claude-3-haiku-20240307</td><td>0.44444</td></tr><tr><td>Safety Metrics/No Hallucination/gpt-4o-mini</td><td>0.22222</td></tr><tr><td>model_latency/mean</td><td>5.07783</td></tr></table><br/></div></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View run <strong style=\"color:#cdcd00\">decent-pyramid-46</strong> at: <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/sebf0q7n' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/sebf0q7n</a><br/> View project at: <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo</a><br/>Synced 4 W&B file(s), 0 media file(s), 34 artifact file(s) and 0 other file(s)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Find logs at: <code>./wandb/run-20241016_185224-sebf0q7n/logs</code>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# log to models\n",
+    "wandb.run.log(pd.json_normalize(summary, sep=\"/\").to_dict(orient=\"records\")[0])\n",
+    "wandb.run.config.update(\n",
+    "    {\"weave_url\": f\"https://wandb.ai/wandb-smle/weave-cookboook-demo/r/call/{call.id}\"}\n",
+    ")\n",
+    "wandb.run.finish()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "HLhXLSnzuSbl"
+   },
+   "source": [
+    "## Save the new RAG Model to the Registry\n",
+    "\n",
+    "To make the updated `RagModel` available for future use by both the Models and Apps teams, we push it to the W&B Models Registry as a reference artifact.\n",
+    "\n",
+    "The code below retrieves the `weave` object version and name for the updated `RagModel` and uses them to create reference links. A new artifact is then created in W&B with metadata containing the model's Weave URL. This artifact is logged to the W&B Registry and linked to a designated registry path.\n",
+    "\n",
+    "Before running the code, ensure the `ENTITY` and `PROJECT` variables match your W&B setup, and the target registry path is correctly specified. This process finalizes the workflow by publishing the new `RagModel` to the W&B ecosystem for easy collaboration and reuse.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "Hm02Pa5KuRM-"
+   },
+   "outputs": [],
+   "source": [
+    "MODELS_OBJECT_VERSION = PUB_REFERENCE.digest  # weave object version\n",
+    "MODELS_OBJECT_NAME = PUB_REFERENCE.name  # weave object name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 228,
+     "referenced_widgets": [
+      "032b7d80f2644e67aa0e8c1c6a58d0c4",
+      "838081c4fa824bca83e8bd336fcdc39c",
+      "cc659aba0bd0419dbead85341f64072b",
+      "c617e218a32a4fccb3dd54e16f2e3948",
+      "6d5c6852080e44d09b47bcc976efc3fa",
+      "1baf6c4d80ac4a7e90c108d7570cf856",
+      "296436180d3c43b691962ed63598813a",
+      "08bde0e54a894a5eab11527608a738a9"
+     ]
+    },
+    "id": "x0gdU1zitSfM",
+    "outputId": "a47dd95e-4fc8-49dd-e497-511a93f72214"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "Tracking run with wandb version 0.18.3"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Run data is saved locally in <code>/content/wandb/run-20241016_191308-y8bm74fc</code>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Syncing run <strong><a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/y8bm74fc' target=\"_blank\">smooth-fog-47</a></strong> to <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/run' target=\"_blank\">docs</a>)<br/>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View project at <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View run at <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/y8bm74fc' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/y8bm74fc</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Artifact references with unsupported schemes cannot be checksummed: weave:///wandb-smle/weave-cookboook-demo/object/RagModel:52kphTk2726ZUTp9Cx5Pe5ntpMzSD9fIu4j50RfnSxs\n",
+      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[32m\u001b[41mERROR\u001b[0m LinkArtifact: RAG Model, error: returned error 403 Forbidden: {\"errors\":[{\"message\":\"view-only member cannot write to project\",\"path\":[\"linkArtifact\"]}],\"data\":{\"linkArtifact\":null}}\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "032b7d80f2644e67aa0e8c1c6a58d0c4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(Label(value='1.479 MB of 1.479 MB uploaded\\r'), FloatProgress(value=1.0, max=1.0)))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       " View run <strong style=\"color:#cdcd00\">smooth-fog-47</strong> at: <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/y8bm74fc' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo/runs/y8bm74fc</a><br/> View project at: <a href='https://wandb.ai/wandb-smle/weave-cookboook-demo' target=\"_blank\">https://wandb.ai/wandb-smle/weave-cookboook-demo</a><br/>Synced 5 W&B file(s), 0 media file(s), 6 artifact file(s) and 0 other file(s)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Find logs at: <code>./wandb/run-20241016_191308-y8bm74fc/logs</code>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "models_url = f\"https://wandb.ai/{ENTITY}/{PROJECT}/weave/objects/{MODELS_OBJECT_NAME}/versions/{MODELS_OBJECT_VERSION}\"\n",
+    "models_link = (\n",
+    "    f\"weave:///{ENTITY}/{PROJECT}/object/{MODELS_OBJECT_NAME}:{MODELS_OBJECT_VERSION}\"\n",
+    ")\n",
+    "\n",
+    "with wandb.init(project=PROJECT, entity=ENTITY) as run:\n",
+    "    # create new Artifact\n",
+    "    artifact_model = wandb.Artifact(\n",
+    "        name=\"RagModel\",\n",
+    "        type=\"model\",\n",
+    "        description=\"Models Link from RagModel in Weave\",\n",
+    "        metadata={\"url\": models_url},\n",
+    "    )\n",
+    "    artifact_model.add_reference(models_link, name=\"model\", checksum=False)\n",
+    "\n",
+    "    # log new artifact\n",
+    "    run.log_artifact(artifact_model, aliases=[MODELS_OBJECT_VERSION])\n",
+    "\n",
+    "    # link to registry\n",
+    "    run.link_artifact(\n",
+    "        artifact_model, target_path=\"wandb32/wandb-registry-RAG Models/RAG Model\"\n",
+    "    )"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
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From ddda5b5abefb303b6944f5a6e0f1a2963b734ac6 Mon Sep 17 00:00:00 2001
From: Martin Mark <martin.mark@wandb.com>
Date: Mon, 3 Feb 2025 16:52:14 -0500
Subject: [PATCH 32/43] refactor(ui): `StyledTextarea` directory update (#3578)

* Updated location

* Updated imports

* Lint
---
 .../Home/Browse3/{pages/PlaygroundPage => }/StyledTextarea.tsx  | 0
 .../Browse3/pages/ChatView/PlaygroundMessagePanelEditor.tsx     | 2 +-
 .../pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx | 2 +-
 .../pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx  | 2 +-
 .../Home/Browse3/pages/common/EditableCallName.tsx              | 2 +-
 5 files changed, 4 insertions(+), 4 deletions(-)
 rename weave-js/src/components/PagePanelComponents/Home/Browse3/{pages/PlaygroundPage => }/StyledTextarea.tsx (100%)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/StyledTextarea.tsx
similarity index 100%
rename from weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/StyledTextarea.tsx
rename to weave-js/src/components/PagePanelComponents/Home/Browse3/StyledTextarea.tsx
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelEditor.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelEditor.tsx
index e07a2e6dc26a..a1238de317b0 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelEditor.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelEditor.tsx
@@ -3,8 +3,8 @@ import classNames from 'classnames';
 import _ from 'lodash';
 import React, {useEffect, useMemo, useState} from 'react';
 
+import {StyledTextArea} from '../../StyledTextarea';
 import {usePlaygroundContext} from '../PlaygroundPage/PlaygroundContext';
-import {StyledTextArea} from '../PlaygroundPage/StyledTextarea';
 import {Message} from './types';
 
 type PlaygroundMessagePanelEditorProps = {
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx
index d1a627fc4833..2a9e0e6b8dd9 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx
@@ -3,7 +3,7 @@ import {MOON_250, MOON_500} from '@wandb/weave/common/css/color.styles';
 import {Button} from '@wandb/weave/components/Button';
 import React, {useState} from 'react';
 
-import {StyledTextArea} from '../StyledTextarea';
+import {StyledTextArea} from '../../../StyledTextarea';
 import {PlaygroundMessageRole} from '../types';
 
 type PlaygroundChatInputProps = {
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx
index c01e38245467..026ce0017e6c 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx
@@ -4,7 +4,7 @@ import {Button} from '@wandb/weave/components/Button';
 import {Tailwind} from '@wandb/weave/components/Tailwind';
 import React, {useEffect, useState} from 'react';
 
-import {StyledTextArea} from '../StyledTextarea';
+import {StyledTextArea} from '../../../StyledTextarea';
 
 type FunctionDrawerProps = {
   drawerFunctionIndex: number | null;
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
index 9dc96e85a727..1863fa3fb555 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/common/EditableCallName.tsx
@@ -2,7 +2,7 @@ import {Icon} from '@wandb/weave/components/Icon';
 import {Tailwind} from '@wandb/weave/components/Tailwind';
 import React, {useCallback, useEffect, useRef, useState} from 'react';
 
-import {StyledTextArea} from '../PlaygroundPage/StyledTextarea';
+import {StyledTextArea} from '../../StyledTextarea';
 import {useWFHooks} from '../wfReactInterface/context';
 import {CallSchema} from '../wfReactInterface/wfDataModelHooksInterface';
 import {opNiceName} from './Links';

From fd6fcbc8906f211ca41d6247ed50175995ad8f18 Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Mon, 3 Feb 2025 20:03:45 -0600
Subject: [PATCH 33/43] fix(ui): new tooltip broke table row size (#3580)

---
 weave-js/src/components/Panel2/PanelTable/PanelTable.tsx | 1 +
 1 file changed, 1 insertion(+)

diff --git a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
index 0c8957a4c6c1..099209c7ed01 100644
--- a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
+++ b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
@@ -882,6 +882,7 @@ const PanelTableInner: React.FC<
                 <Tooltip
                   key={rowSize}
                   content={rowSizeTooltipContent[RowSize[rowSize]]}
+                  noTriggerWrap
                   trigger={
                     <Button
                       startIcon={rowSizeIconName[RowSize[rowSize]]}

From 460c0ad3bf3f16288860d1be7b815716a9a1f735 Mon Sep 17 00:00:00 2001
From: Bharat Ramanathan <param.bharat@gmail.com>
Date: Tue, 4 Feb 2025 10:57:27 +0530
Subject: [PATCH 34/43] fix(weave): add attributes to langchain integration
 calls (#3521)

* fix: include user provided call attributes in the weave call

* test: add test case to track the call attributes

* fix: remove fingerprints from test cassettes

ref: https://github.com/wandb/weave/pull/3521#discussion_r1933924506

* chore: fix linting errors in tests file

* tests: fix test data path
---
 .../test_agent_run_with_function_call.yaml    |   70 +-
 .../test_agent_run_with_tools.yaml            |   70 +-
 .../test_simple_chain_batch.yaml              |  120 +-
 .../test_simple_chain_batch_inside_op.yaml    |  124 +-
 .../test_simple_chain_invoke.yaml             |   60 +-
 .../test_simple_chain_stream.yaml             |   79 +-
 .../langchain_test/test_simple_rag_chain.yaml | 7494 +++++++++--------
 .../test_weave_attributes_in_call.yaml        |  102 +
 .../integrations/langchain/langchain_test.py  |   68 +-
 weave/integrations/langchain/langchain.py     |   16 +-
 10 files changed, 4210 insertions(+), 3993 deletions(-)
 create mode 100644 tests/integrations/langchain/cassettes/langchain_test/test_weave_attributes_in_call.yaml

diff --git a/tests/integrations/langchain/cassettes/langchain_test/test_agent_run_with_function_call.yaml b/tests/integrations/langchain/cassettes/langchain_test/test_agent_run_with_function_call.yaml
index 940257873e34..bdc3973607c9 100644
--- a/tests/integrations/langchain/cassettes/langchain_test/test_agent_run_with_function_call.yaml
+++ b/tests/integrations/langchain/cassettes/langchain_test/test_agent_run_with_function_call.yaml
@@ -5,69 +5,71 @@ interactions:
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       - application/json
       accept-encoding:
-      - gzip, deflate
+      - gzip, deflate, zstd
       connection:
       - keep-alive
       content-length:
-      - '579'
+      - '530'
       content-type:
       - application/json
       host:
       - api.openai.com
       user-agent:
-      - OpenAI/Python 1.35.13
+      - OpenAI/Python 1.60.2
       x-stainless-arch:
-      - x64
+      - arm64
       x-stainless-async:
       - 'false'
       x-stainless-lang:
       - python
       x-stainless-os:
-      - Linux
+      - MacOS
       x-stainless-package-version:
-      - 1.48.0
+      - 1.60.2
+      x-stainless-retry-count:
+      - '0'
       x-stainless-runtime:
       - CPython
       x-stainless-runtime-version:
-      - 3.10.14
+      - 3.11.11
     method: POST
     uri: https://api.openai.com/v1/chat/completions
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diff --git a/tests/integrations/langchain/langchain_test.py b/tests/integrations/langchain/langchain_test.py
index 0d0b2bedb149..3bfdf313889b 100644
--- a/tests/integrations/langchain/langchain_test.py
+++ b/tests/integrations/langchain/langchain_test.py
@@ -59,9 +59,7 @@ def test_simple_chain_invoke(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
     long_str = (
         "really_massive_name_that_is_longer_than_max_characters_which_would_be_crazy"
@@ -94,9 +92,7 @@ async def test_simple_chain_ainvoke(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -120,9 +116,7 @@ def test_simple_chain_stream(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -149,9 +143,7 @@ async def test_simple_chain_astream(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -197,9 +189,7 @@ def test_simple_chain_batch(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -225,9 +215,7 @@ async def test_simple_chain_abatch(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -274,9 +262,7 @@ def test_simple_chain_batch_inside_op(
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
     prompt = PromptTemplate.from_template("1 + {number} = ")
 
     llm_chain = prompt | llm
@@ -391,9 +377,7 @@ def test_simple_rag_chain(client: WeaveClient, fix_chroma_ci: None) -> None:
         "Question: {question}\nContext: {context}\nAnswer:"
     )
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
 
     def format_docs(documents: list[Document]) -> str:
         return "\n\n".join(doc.page_content for doc in documents)
@@ -473,9 +457,7 @@ def multiply(a: int, b: int) -> int:
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
 
     tools = [calculator]
     functions = [convert_to_openai_tool(t) for t in tools]
@@ -591,9 +573,7 @@ def multiply(a: int, b: int) -> int:
 
     api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
 
-    llm = ChatOpenAI(
-        model_name="gpt-3.5-turbo", openai_api_key=api_key, temperature=0.0
-    )
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
 
     tools = [calculator]
     functions = [convert_to_openai_function(t) for t in tools]
@@ -647,3 +627,31 @@ class AgentInput(BaseModel):
     )
     calls = list(client.calls(filter=tsi.CallsFilter(trace_roots_only=True)))
     assert_correct_calls_for_agent_with_function_call(calls)
+
+
+@pytest.mark.skip_clickhouse_client
+@pytest.mark.vcr(
+    filter_headers=["authorization", "x-api-key"],
+    allowed_hosts=["api.wandb.ai", "localhost", "trace.wandb.ai"],
+    before_record_request=filter_body,
+)
+def test_weave_attributes_in_call(client: WeaveClient) -> None:
+    from langchain_core.prompts import PromptTemplate
+    from langchain_openai import ChatOpenAI
+
+    api_key = os.environ.get("OPENAI_API_KEY", "sk-1234567890abcdef1234567890abcdef")
+
+    llm = ChatOpenAI(model_name="gpt-4o-mini", openai_api_key=api_key, temperature=0.0)
+    prompt = PromptTemplate.from_template("1 + {number} = ")
+
+    llm_chain = prompt | llm
+    with weave.attributes({"call_attr": 1}):
+        _ = llm_chain.invoke({"number": 2})
+
+    calls = list(client.calls(filter=tsi.CallsFilter(trace_roots_only=True)))
+    assert len(calls) > 0
+    call_attrs = calls[0].attributes
+    assert call_attrs["call_attr"] == 1
+    assert "lc_id" in call_attrs
+    assert "parent_run_id" in call_attrs
+    assert "lc_name" in call_attrs
diff --git a/weave/integrations/langchain/langchain.py b/weave/integrations/langchain/langchain.py
index 4695e8823410..759e7a604add 100644
--- a/weave/integrations/langchain/langchain.py
+++ b/weave/integrations/langchain/langchain.py
@@ -161,7 +161,7 @@ def _persist_run_single(self, run: Run) -> None:
 
                 # First, there needs to be something on the stack.
                 if wv_current_run is not None:
-                    attrs = wv_current_run.attributes or {}
+                    attrs = call_context.call_attributes.get()
                     # Now, the major condition:
                     if (
                         # 1. Both runs must be of type `RunnableSequence`
@@ -190,16 +190,20 @@ def _persist_run_single(self, run: Run) -> None:
             fn_name = make_pythonic_function_name(run.name)
             complete_op_name = f"langchain.{run.run_type.capitalize()}.{fn_name}"
             complete_op_name = truncate_op_name(complete_op_name)
+            call_attrs = call_context.call_attributes.get()
+            call_attrs.update(
+                {
+                    "lc_id": str(run.id),
+                    "parent_run_id": lc_parent_run_id,
+                    "lc_name": run.name,
+                }
+            )
             call = self.gc.create_call(
                 # Make sure to add the run name once the UI issue is figured out
                 complete_op_name,
                 inputs=run_dict.get("inputs", {}),
                 parent=parent_run,
-                attributes={
-                    "lc_id": str(run.id),
-                    "parent_run_id": lc_parent_run_id,
-                    "lc_name": run.name,
-                },
+                attributes=call_attrs,
                 display_name=f"langchain.{run.run_type.capitalize()}.{run.name}",
                 use_stack=use_stack,
             )

From 2a639198c14f4ccde5e1755073801820ef0abce5 Mon Sep 17 00:00:00 2001
From: Martin Mark <martin.mark@wandb.com>
Date: Tue, 4 Feb 2025 10:24:23 -0500
Subject: [PATCH 35/43] chore(ui): Dataset: edit design updates (#3564)

* Cell render style

* Dataset edit button

* Removed default editing bg - button size

* Boolean color

* Colors

* Alignment fix checkboxes

* EOF edit vs select all

* Subtle border hover

* Moved counters / added editing state / made info columns scroll

* Muted text / link

* Popover location

* Lint
---
 .../Home/Browse3/datasets/CellRenderers.tsx   |  65 +++------
 .../Browse3/datasets/DatasetVersionPage.tsx   | 130 +++++++++++-------
 .../Home/Browse3/datasets/EditPopover.tsx     |   4 +-
 .../Browse3/datasets/EditableDatasetView.tsx  |  17 ++-
 .../Browse3/datasets/editors/TextEditor.tsx   |   2 +-
 5 files changed, 115 insertions(+), 103 deletions(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/CellRenderers.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/CellRenderers.tsx
index 9693266e3474..9a6620854043 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/CellRenderers.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/CellRenderers.tsx
@@ -16,9 +16,9 @@ import {TextEditor} from './editors/TextEditor';
 import {EditorMode, EditPopover} from './EditPopover';
 
 export const CELL_COLORS = {
-  DELETED: 'rgba(255, 0, 0, 0.1)',
-  EDITED: 'rgba(0, 128, 128, 0.1)',
-  NEW: 'rgba(0, 255, 0, 0.1)',
+  DELETED: '#FFE6E6', // Red 200
+  EDITED: '#E0EDFE', // Blue 200
+  NEW: '#E4F7EE', // Green 200
   TRANSPARENT: 'transparent',
 } as const;
 
@@ -47,38 +47,6 @@ interface CellViewingRendererProps {
   serverValue?: any;
 }
 
-const ShimmerOverlay: React.FC = () => (
-  <Box
-    sx={{
-      position: 'absolute',
-      top: 0,
-      left: 0,
-      right: 0,
-      bottom: 0,
-      background:
-        'linear-gradient(90deg, transparent 0%, rgba(128, 128, 128, 0) 20%, rgba(128, 128, 128, 0.2) 50%, rgba(128, 128, 128, 0) 80%, transparent 100%)',
-      animation: 'shimmer-wobble 2s infinite ease-in-out',
-      '@keyframes shimmer-wobble': {
-        '0%': {
-          transform: 'translateX(-100%) skewX(-15deg)',
-          opacity: 0,
-        },
-        '20%': {
-          opacity: 1,
-        },
-        '80%': {
-          opacity: 1,
-        },
-        '100%': {
-          transform: 'translateX(100%) skewX(-15deg)',
-          opacity: 0,
-        },
-      },
-      pointerEvents: 'none',
-    }}
-  />
-);
-
 export const CellViewingRenderer: React.FC<
   GridRenderCellParams & CellViewingRendererProps
 > = ({
@@ -176,8 +144,11 @@ export const CellViewingRenderer: React.FC<
               : 'none',
             cursor: 'pointer',
             transition: 'background-color 0.2s ease',
+            borderLeft: '1px solid transparent',
+            borderRight: '1px solid transparent',
             '&:hover': {
-              backgroundColor: 'rgba(0, 0, 0, 0.08)',
+              borderLeft: '1px solid #DFE0E2',
+              borderRight: '1px solid #DFE0E2',
             },
           }}>
           <Icon
@@ -185,7 +156,7 @@ export const CellViewingRenderer: React.FC<
             height={20}
             width={20}
             style={{
-              color: value ? '#22c55e' : '#ef4444',
+              color: value ? '#00875A' : '#CC2944',
             }}
           />
         </Box>
@@ -253,24 +224,20 @@ export const CellViewingRenderer: React.FC<
           textDecoration: isDeleted
             ? DELETED_CELL_STYLES.textDecoration
             : 'none',
-          '@keyframes shimmer': {
-            '0%': {
-              transform: 'translateX(-100%)',
-            },
-            '100%': {
-              transform: 'translateX(100%)',
-            },
-          },
+          borderLeft: '1px solid transparent',
+          borderRight: '1px solid transparent',
           '&:hover': {
-            backgroundColor: 'rgba(0, 0, 0, 0.04)',
+            borderLeft: '1px solid #DFE0E2',
+            borderRight: '1px solid #DFE0E2',
           },
           ...(isEditing && {
-            outline: '2px solid rgb(77, 208, 225)',
+            border: '2px solid rgb(77, 208, 225)',
+            backgroundColor: 'rgba(77, 208, 225, 0.2)',
           }),
         }}>
         <span style={{flex: 1, position: 'relative', overflow: 'hidden'}}>
           {value}
-          {isEditing && <ShimmerOverlay />}
+          {isEditing}
         </span>
         {isHovered && (
           <Box
@@ -364,6 +331,8 @@ const NumberEditor: React.FC<{
         alignItems: 'center',
         height: '100%',
         width: '100%',
+        border: '2px solid rgb(77, 208, 225)',
+        backgroundColor: 'rgba(77, 208, 225, 0.2)',
       }}>
       <input
         type="number"
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/DatasetVersionPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/DatasetVersionPage.tsx
index a4274a37e56a..47d1249a4a86 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/DatasetVersionPage.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/DatasetVersionPage.tsx
@@ -8,7 +8,6 @@ import {toast} from 'react-toastify';
 import {Button} from '../../../../Button';
 import {Icon} from '../../../../Icon';
 import {LoadingDots} from '../../../../LoadingDots';
-import {Pill} from '../../../../Tag/Pill';
 import {Tailwind} from '../../../../Tailwind';
 import {Timestamp} from '../../../../Timestamp';
 import {useWeaveflowCurrentRouteContext} from '../context';
@@ -167,26 +166,29 @@ export const DatasetVersionPage: React.FC<{
     const deletedCountStr = String(deletedRows.length);
     return (
       <div className="flex gap-8">
-        <div className="mr-8 flex items-center gap-4">
+        <div className="absolute right-[28px] top-[68px] flex gap-8 font-mono text-xs">
           <Tooltip
-            title={`${maybePluralize(Number(editCountStr), 'row')} edited`}
+            title={`${maybePluralize(Number(addedCountStr), 'row')} added`}
             {...TOOLTIP_PROPS}>
-            <div>
-              <Pill label={editCountStr} icon="pencil-edit" color="blue" />
+            <div className="flex items-center gap-1 text-xs font-semibold text-moon-500">
+              <Icon name="add-new" width={12} height={12} />
+              <span>{addedCountStr}</span>
             </div>
           </Tooltip>
           <Tooltip
-            title={`${maybePluralize(Number(addedCountStr), 'row')} added`}
+            title={`${maybePluralize(Number(deletedCountStr), 'row')} deleted`}
             {...TOOLTIP_PROPS}>
-            <div>
-              <Pill label={addedCountStr} icon="add-new" color="green" />
+            <div className="flex items-center gap-1 text-xs font-semibold text-moon-500">
+              <Icon name="remove" width={12} height={12} />
+              <span>{deletedCountStr}</span>
             </div>
           </Tooltip>
           <Tooltip
-            title={`${maybePluralize(Number(deletedCountStr), 'row')} deleted`}
+            title={`${maybePluralize(Number(editCountStr), 'row')} edited`}
             {...TOOLTIP_PROPS}>
-            <div>
-              <Pill label={deletedCountStr} icon="delete" color="red" />
+            <div className="flex items-center gap-1 text-xs font-semibold text-moon-500">
+              <Icon name="pencil-edit" width={12} height={12} />
+              <span>{editCountStr}</span>
             </div>
           </Tooltip>
         </div>
@@ -195,7 +197,6 @@ export const DatasetVersionPage: React.FC<{
           tooltip="Cancel"
           variant="secondary"
           size="medium"
-          icon="close"
           onClick={handleCancelClick}>
           Cancel
         </Button>
@@ -232,7 +233,7 @@ export const DatasetVersionPage: React.FC<{
       headerContent={
         <Tailwind>
           <div className="flex justify-between">
-            <div className="grid auto-cols-max grid-flow-col gap-[16px] text-[14px]">
+            <div className="grid auto-cols-max grid-flow-col gap-[16px] overflow-x-auto text-[14px]">
               <div className="block">
                 <p className="text-moon-500">Name</p>
                 <ObjectVersionsLink
@@ -277,7 +278,7 @@ export const DatasetVersionPage: React.FC<{
                 </div>
               )}
             </div>
-            <div className="ml-auto mr-0">
+            <div className="ml-auto flex-shrink-0">
               {isEditing ? (
                 renderEditingControls()
               ) : (
@@ -297,44 +298,71 @@ export const DatasetVersionPage: React.FC<{
           </div>
         </Tailwind>
       }
-      tabs={[
-        {
-          label: 'Rows',
-          content: (
-            <ScrollableTabContent sx={{p: 0}}>
-              <Box sx={{flex: '0 0 auto', height: '100%'}}>
-                {data.loading ? (
-                  <CenteredAnimatedLoader />
-                ) : (
-                  <WeaveCHTableSourceRefContext.Provider value={refUri}>
-                    <CustomWeaveTypeProjectContext.Provider
-                      value={{entity: entityName, project: projectName}}>
-                      <EditableDatasetView
-                        isEditing={isEditing}
-                        datasetObject={objectVersion.val}
+      tabs={
+        !isEditing
+          ? [
+              {
+                label: 'Rows',
+                content: (
+                  <ScrollableTabContent sx={{p: 0}}>
+                    <Box sx={{flex: '0 0 auto', height: '100%'}}>
+                      {data.loading ? (
+                        <CenteredAnimatedLoader />
+                      ) : (
+                        <WeaveCHTableSourceRefContext.Provider value={refUri}>
+                          <CustomWeaveTypeProjectContext.Provider
+                            value={{entity: entityName, project: projectName}}>
+                            <EditableDatasetView
+                              isEditing={isEditing}
+                              datasetObject={objectVersion.val}
+                            />
+                          </CustomWeaveTypeProjectContext.Provider>
+                        </WeaveCHTableSourceRefContext.Provider>
+                      )}
+                    </Box>
+                  </ScrollableTabContent>
+                ),
+              },
+              {
+                label: 'Use',
+                content: (
+                  <ScrollableTabContent>
+                    <Tailwind>
+                      <TabUseDataset
+                        name={objectName}
+                        uri={refUri}
+                        versionIndex={objectVersionIndex}
                       />
-                    </CustomWeaveTypeProjectContext.Provider>
-                  </WeaveCHTableSourceRefContext.Provider>
-                )}
-              </Box>
-            </ScrollableTabContent>
-          ),
-        },
-        {
-          label: 'Use',
-          content: (
-            <ScrollableTabContent>
-              <Tailwind>
-                <TabUseDataset
-                  name={objectName}
-                  uri={refUri}
-                  versionIndex={objectVersionIndex}
-                />
-              </Tailwind>
-            </ScrollableTabContent>
-          ),
-        },
-      ]}
+                    </Tailwind>
+                  </ScrollableTabContent>
+                ),
+              },
+            ]
+          : [
+              {
+                label: 'Editing',
+                content: (
+                  <ScrollableTabContent sx={{p: 0}}>
+                    <Box sx={{flex: '0 0 auto', height: '100%'}}>
+                      {data.loading ? (
+                        <CenteredAnimatedLoader />
+                      ) : (
+                        <WeaveCHTableSourceRefContext.Provider value={refUri}>
+                          <CustomWeaveTypeProjectContext.Provider
+                            value={{entity: entityName, project: projectName}}>
+                            <EditableDatasetView
+                              isEditing={isEditing}
+                              datasetObject={objectVersion.val}
+                            />
+                          </CustomWeaveTypeProjectContext.Provider>
+                        </WeaveCHTableSourceRefContext.Provider>
+                      )}
+                    </Box>
+                  </ScrollableTabContent>
+                ),
+              },
+            ]
+      }
     />
   );
 };
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditPopover.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditPopover.tsx
index 3cf6596398d7..3a714e0baea0 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditPopover.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditPopover.tsx
@@ -41,8 +41,8 @@ export const EditPopover: React.FC<EditPopoverProps> = ({
       setPosition({
         left: rect.left + window.scrollX,
         top: isInTopHalf
-          ? rect.bottom + window.scrollY // Position below for top half
-          : rect.top + window.scrollY - initialHeight, // Position above for bottom half
+          ? rect.bottom + window.scrollY - 36 // Move up by 36px when below
+          : rect.top + window.scrollY - initialHeight + 36, // Move down by 36px when above
       });
     } else {
       setPosition(null);
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
index f468dec3dafc..504d6259a840 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/EditableDatasetView.tsx
@@ -489,7 +489,6 @@ export const EditableDatasetView: FC<EditableDataTableViewProps> = ({
               icon="add-new"
               onClick={handleAddRowsClick}
               variant="secondary"
-              size="small"
               tooltip="Add row">
               Add row
             </Button>
@@ -550,6 +549,22 @@ export const EditableDatasetView: FC<EditableDataTableViewProps> = ({
           height: '100%',
           '& .MuiDataGrid-cell': {
             padding: '0',
+            // This vertical / horizontal center aligns <span>'s inside of the columns
+            // Fixes an issure where boolean checkboxes are top-aligned pre-edit
+            '& .MuiBox-root': {
+              '& span.cursor-inherit': {
+                display: 'flex',
+                alignItems: 'center',
+                justifyContent: 'center',
+                height: '34px',
+              },
+            },
+          },
+          // Removed default MUI blue from editing cell
+          '.MuiDataGrid-cell.MuiDataGrid-cell--editing': {
+            '&:focus, &:focus-within': {
+              outline: 'none',
+            },
           },
           '& .MuiDataGrid-columnHeaders': {
             borderBottom: '1px solid rgba(224, 224, 224, 1)',
diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/editors/TextEditor.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/editors/TextEditor.tsx
index 8b2aaa76f3fd..388d98cbdc22 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/editors/TextEditor.tsx
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/datasets/editors/TextEditor.tsx
@@ -30,7 +30,7 @@ export const TextEditor: React.FC<TextEditorProps> = ({
       onKeyDown={handleKeyDown}
       onFocus={e => {
         const target = e.target as HTMLTextAreaElement;
-        target.setSelectionRange(0, target.value.length);
+        target.setSelectionRange(target.value.length, target.value.length);
       }}
       fullWidth
       multiline

From a37f0ef00b9a99b3812713197ba77a6ee2d67563 Mon Sep 17 00:00:00 2001
From: Tim Sweeney <tim@wandb.com>
Date: Tue, 4 Feb 2025 13:30:44 -0800
Subject: [PATCH 36/43] chore(weave): Fix Clickhouse CI (#3592)

* init

* Fixed

* Fixed
---
 .github/workflows/test.yaml | 5 +++++
 README.md                   | 1 +
 tests/conftest.py           | 8 ++++++++
 3 files changed, 14 insertions(+)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 0b35bd9890b6..cf2526c135c9 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -276,6 +276,11 @@ jobs:
           --health-start-period=10s
       weave_clickhouse:
         image: clickhouse/clickhouse-server
+        env:
+          CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT: 1
+          CLICKHOUSE_USER: default
+          CLICKHOUSE_PASSWORD: ""
+          CLICKHOUSE_DB: default
         ports:
           - "8123:8123"
         options: --health-cmd "wget -nv -O- 'http://localhost:8123/ping' || exit 1" --health-interval=5s --health-timeout=3s
diff --git a/README.md b/README.md
index 7da126b6748c..a52cf3fe74ea 100644
--- a/README.md
+++ b/README.md
@@ -104,3 +104,4 @@ We're in the process of 🧹 cleaning up 🧹. This codebase contains a large am
 The Weave Tracing code is mostly in: `weave/trace` and `weave/trace_server`.
 
 The Weave Evaluations code is mostly in `weave/flow`.
+
diff --git a/tests/conftest.py b/tests/conftest.py
index c4a288a0ad77..cfe19b42979b 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -206,6 +206,14 @@ def server_healthy(num_retries=1):
                 "run",
                 "-d",
                 "--rm",
+                "-e",
+                "CLICKHOUSE_DB=default",
+                "-e",
+                "CLICKHOUSE_USER=default",
+                "-e",
+                "CLICKHOUSE_PASSWORD=",
+                "-e",
+                "CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1",
                 "-p",
                 f"{port}:8123",
                 "--name",

From ca4e9d588151d6c9b77ce284e2c89701c5df80bc Mon Sep 17 00:00:00 2001
From: Griffin Tarpenning <griffin.tarpenning@wandb.com>
Date: Tue, 4 Feb 2025 13:43:27 -0800
Subject: [PATCH 37/43] chore(weave): fix dspy example docs (#3586)

---
 docs/docs/guides/integrations/dspy.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/docs/guides/integrations/dspy.md b/docs/docs/guides/integrations/dspy.md
index 75ac4ec6fa19..28fe9de7c676 100644
--- a/docs/docs/guides/integrations/dspy.md
+++ b/docs/docs/guides/integrations/dspy.md
@@ -17,8 +17,8 @@ os.environ["OPENAI_API_KEY"] = "<YOUR-OPENAI-API-KEY>"
 
 weave.init(project_name="<YOUR-WANDB-PROJECT-NAME>")
 
-gpt3_turbo = dspy.OpenAI(model="gpt-3.5-turbo-1106", max_tokens=300)
-dspy.configure(lm=gpt3_turbo)
+lm = dspy.LM('openai/gpt-4o-mini')
+dspy.configure(lm=lm)
 classify = dspy.Predict("sentence -> sentiment")
 classify(sentence="it's a charming and often affecting journey.")
 ```

From 508f783a405e441e9b9c1659fcc9a2c1861fb78c Mon Sep 17 00:00:00 2001
From: Josiah Lee <josiahwlee@gmail.com>
Date: Tue, 4 Feb 2025 14:07:28 -0800
Subject: [PATCH 38/43] Add <0.0001 precision (#3587)

---
 .../Home/Browse3/pages/CallPage/cost/costUtils.ts          | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/cost/costUtils.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/cost/costUtils.ts
index ec6d464752ae..cc1289848a03 100644
--- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/cost/costUtils.ts
+++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/cost/costUtils.ts
@@ -74,8 +74,13 @@ export const formatTokenCount = (num: number): string => {
   return parseFloat(millions).toString() + 'm';
 };
 
+const MIN_COST = 0.0001;
+const COST_PRECISION = 4;
 export const formatTokenCost = (cost: number): string => {
-  return `$${cost.toFixed(4)}`;
+  if (cost < MIN_COST) {
+    return '<$' + MIN_COST.toFixed(COST_PRECISION);
+  }
+  return `$${cost.toFixed(COST_PRECISION)}`;
 };
 
 // TODO(Josiah): this is here because sometimes the cost query is not returning all the ids I believe for unfinished calls,

From ab3b1bd10328f88c65934de9363590d0d42ac35e Mon Sep 17 00:00:00 2001
From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com>
Date: Tue, 4 Feb 2025 16:09:59 -0600
Subject: [PATCH 39/43] fix(weave): AttributeError with OpenAIModerationScorer
 (#3589)

---
 weave/scorers/llm_utils.py         | 2 +-
 weave/scorers/moderation_scorer.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/weave/scorers/llm_utils.py b/weave/scorers/llm_utils.py
index eef6f018b0f9..1f18b3470b8b 100644
--- a/weave/scorers/llm_utils.py
+++ b/weave/scorers/llm_utils.py
@@ -4,7 +4,7 @@
 
 OPENAI_DEFAULT_MODEL = "gpt-4o"
 OPENAI_DEFAULT_EMBEDDING_MODEL = "text-embedding-3-small"
-OPENAI_DEFAULT_MODERATION_MODEL = "text-moderation-latest"
+OPENAI_DEFAULT_MODERATION_MODEL = "omni-moderation-latest"
 
 ANTHROPIC_DEFAULT_MODEL = "claude-3-5-sonnet"
 
diff --git a/weave/scorers/moderation_scorer.py b/weave/scorers/moderation_scorer.py
index 3bed7b0d369b..506777359316 100644
--- a/weave/scorers/moderation_scorer.py
+++ b/weave/scorers/moderation_scorer.py
@@ -37,5 +37,5 @@ def score(self, output: Any) -> dict:
             model=self.model_id,
             input=output,
         ).results[0]
-        categories = {k: v for k, v in response.categories.items() if v}
+        categories = {k: v for k, v in response.categories.to_dict().items() if v}
         return {"flagged": response.flagged, "categories": categories}

From f2e3fa6fa22b64ca53537dd7493fdc7138b1626d Mon Sep 17 00:00:00 2001
From: Justin Tulk <jtulk@users.noreply.github.com>
Date: Tue, 4 Feb 2025 14:22:07 -0800
Subject: [PATCH 40/43] Add `data-test` id to wave loader (#3585)

---
 weave-js/src/components/Loaders/WaveLoader.tsx | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/weave-js/src/components/Loaders/WaveLoader.tsx b/weave-js/src/components/Loaders/WaveLoader.tsx
index 7cddb0a5e753..7bd8dbd6e373 100644
--- a/weave-js/src/components/Loaders/WaveLoader.tsx
+++ b/weave-js/src/components/Loaders/WaveLoader.tsx
@@ -25,7 +25,9 @@ const Dot = React.memo(
 export const WaveLoader = ({size}: {size: 'small' | 'huge'}) => {
   return (
     <TailwindContents>
-      <div className="flex items-center gap-x-4">
+      <div
+        className="flex items-center gap-x-4"
+        data-test={`wave-loader-${size}`}>
         <Dot size={size} />
         <Dot delay=".3s" size={size} />
         <Dot delay=".6s" size={size} />

From 0fb0800a5b515608c72a3b8ebd956c49999427fc Mon Sep 17 00:00:00 2001
From: J2-D2-3PO <188380414+J2-D2-3PO@users.noreply.github.com>
Date: Tue, 4 Feb 2025 15:50:02 -0700
Subject: [PATCH 41/43] docs(weave): Document dataset editing and deletion
 (#3579)

---
 docs/docs/guides/core-types/datasets.md       | 150 +++++++++++++-----
 .../core-types/imgs/dataset-trashcan.png      | Bin 0 -> 403 bytes
 .../imgs/datasetui-delete-modal.png           | Bin 0 -> 26102 bytes
 .../imgs/datasetui-popout-edit-addcol.png     | Bin 0 -> 6499 bytes
 .../imgs/datasetui-popout-edit-colsadded.png  | Bin 0 -> 21912 bytes
 .../imgs/datasetui-popout-edit-green.png      | Bin 0 -> 19399 bytes
 .../imgs/datasetui-popout-edit-publish.png    | Bin 0 -> 3755 bytes
 .../datasetui-popout-edit-published-meta.png  | Bin 0 -> 18271 bytes
 .../datasetui-popout-edit-published-rows.png  | Bin 0 -> 20094 bytes
 .../core-types/imgs/datasetui-popout-edit.png | Bin 0 -> 421 bytes
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diff --git a/docs/docs/guides/core-types/datasets.md b/docs/docs/guides/core-types/datasets.md
index eb8741dcd4fa..d702c809ec04 100644
--- a/docs/docs/guides/core-types/datasets.md
+++ b/docs/docs/guides/core-types/datasets.md
@@ -3,15 +3,24 @@ import TabItem from '@theme/TabItem';
 
 # Datasets
 
-`Dataset`s enable you to collect examples for evaluation and automatically track versions for accurate comparisons. Use this to download the latest version locally with a simple API.
+Weave `Dataset`s help you to organize, collect, track, and version examples for LLM application evaluation for easy comparison. You can create and interact with `Dataset`s programmatically and via the UI. 
 
-This guide will show you how to:
+This page describes:
 
-- Publish `Dataset`s to W&B
-- Download the latest version
-- Iterate over examples
+- Basic `Dataset` operations in Python and TypeScript and how to get started  
+- How to create a `Dataset` in Python and TypeScript from objects such as Weave [calls](../tracking/tracing.mdx)
+- Available operations on a `Dataset` in the UI
 
-## Quickstart
+## `Dataset` quickstart
+
+The following code samples demonstrate how to perform fundamental `Dataset` operations using Python and TypeScript. Using the SDKs, you can:
+
+- Create a `Dataset`
+- Publish the `Dataset`
+- Retrieve the `Dataset`
+- Access a specific example in the `Dataset`
+
+Select a tab to see Python and TypeScript-specific code. 
 
 <Tabs groupId="programming-language" queryString>
   <TabItem value="python" label="Python" default>
@@ -69,55 +78,114 @@ This guide will show you how to:
   </TabItem>
 </Tabs>
 
-## Alternate constructors
+## Create a `Dataset` from other objects
 
 <Tabs groupId="programming-language" queryString>
   <TabItem value="python" label="Python" default>
-  Datasets can also be constructed from common Weave objects like `Call`s, and popular python objects like `pandas.DataFrame`s.
-  <Tabs groupId="use-case">
-    <TabItem value="from-calls" label="From Calls">
-    This can be useful if you want to create an example from specific examples.
+  In Python, `Dataset`s can also be constructed from common Weave objects like [calls](../tracking/tracing.mdx), and Python objects like `pandas.DataFrame`s. This feature is useful if you want to create an example `Dataset` from specific examples.
 
-    ```python
-    @weave.op
-    def model(task: str) -> str:
-        return f"Now working on {task}"
+  ### Weave call
 
-    res1, call1 = model.call(task="fetch")
-    res2, call2 = model.call(task="parse")
+  To create a `Dataset` from one or more Weave calls, retrieve the call object(s), and add them to a list in the `from_calls` method.
 
-    dataset = Dataset.from_calls([call1, call2])
-    # Now you can use the dataset to evaluate the model, etc.
-    ```
-    </TabItem>
+  ```python
+  @weave.op
+  def model(task: str) -> str:
+      return f"Now working on {task}"
 
-    <TabItem value="from-pandas" label="From Pandas">
-    You can also freely convert between `Dataset`s and `pandas.DataFrame`s.
+  res1, call1 = model.call(task="fetch")
+  res2, call2 = model.call(task="parse")
 
-    ```python
-    import pandas as pd
+  dataset = Dataset.from_calls([call1, call2])
+  # Now you can use the dataset to evaluate the model, etc.
+  ```
 
-    df = pd.DataFrame([
-        {'id': '0', 'sentence': "He no likes ice cream.", 'correction': "He doesn't like ice cream."},
-        {'id': '1', 'sentence': "She goed to the store.", 'correction': "She went to the store."},
-        {'id': '2', 'sentence': "They plays video games all day.", 'correction': "They play video games all day."}
-    ])
-    dataset = Dataset.from_pandas(df)
-    df2 = dataset.to_pandas()
+  ### Pandas DataFrame
 
-    assert df.equals(df2)
-    ```
+  To create a `Dataset` from a Pandas `DataFrame` object, use the `from_pandas` method. 
 
-    </TabItem>
+  To convert the `Dataset` back, use `to_pandas`.
 
-  </Tabs>
+  ```python
+  import pandas as pd
 
-  </TabItem>
-  <TabItem value="typescript" label="TypeScript">
+  df = pd.DataFrame([
+      {'id': '0', 'sentence': "He no likes ice cream.", 'correction': "He doesn't like ice cream."},
+      {'id': '1', 'sentence': "She goed to the store.", 'correction': "She went to the store."},
+      {'id': '2', 'sentence': "They plays video games all day.", 'correction': "They play video games all day."}
+  ])
+  dataset = Dataset.from_pandas(df)
+  df2 = dataset.to_pandas()
 
-```typescript
-This feature is not available in TypeScript yet.  Stay tuned!
-```
+  assert df.equals(df2)
+  ```
 
   </TabItem>
+  <TabItem value="typescript" label="TypeScript">
+   This feature is not currently available in TypeScript.  Stay tuned!
+  </TabItem>
 </Tabs>
+
+## Edit and delete a `Dataset` in the UI
+
+:::tip
+To follow along with the example screenshots shown in this section, run the code shown in the [`Dataset` quickstart](#dataset-quickstart) and navigate to the **Datasets** tab in the Weave UI.
+:::
+
+You can edit and delete existing `Dataset`s from the **Datasets** tab in the UI. To create a `Dataset`, [use one of the SDKs](#dataset-quickstart). 
+
+### Edit a `Dataset` 
+
+1. Navigate to the Weave project containing the `Dataset` you want to edit.
+2. From the sidebar, select **Datasets**. Your available `Dataset`s display.
+
+   ![Dataset UI](./imgs/datasetui.png)
+
+3. In the **Object** column, click the name and version of the `Dataset` you want to edit. A pop-out modal showing `Dataset` information like name, version, author, and `Dataset` rows displays.
+
+   ![View `Dataset` information](./imgs/datasetui-popout.png)
+
+4. In the upper right-hand corner of the modal, click the **Edit dataset** button (the pencil icon). An **+ Add row** button displays at the bottom of the modal.
+
+    ![`Dataset` UI- Add row icon](./imgs/datasetui-popout-edit.png)
+
+5. Click **+ Add row**. A green row displays at the top of your existing `Dataset` rows, indicating that you can add a new row to the `Dataset`. 
+
+    ![`Dataset` UI](./imgs/datasetui-popout-edit-green.png)
+
+6. To add data to a new row, click the desired column within that row. The default **id** column in a `Dataset` row cannot be edited, as Weave assigns it automatically upon creation. An editing modal appears with **Text**, **Code**, and **Diff** options for formatting.
+
+    ![`Dataset` UI - Add data to a column and format.](./imgs/datasetui-popout-edit-addcol.png)
+
+7. Repeat step 6 for each column that you want to add data to in the new row. 
+
+    ![`Dataset` UI - Add data to all columns.](./imgs/datasetui-popout-edit-colsadded.png)
+
+8. Repeat step 5 for each row that you want to add to the `Dataset`.
+
+9. Once you're done editing, publish your `Dataset` by clicking **Publish** in the upper right-hand corner of the modal. Alternatively, if you don't want to publish your changes, click **Cancel**. 
+
+    ![`Dataset` UI - Publish or cancel.](./imgs/datasetui-popout-edit-publish.png)
+
+   Once published, the new version of the `Dataset` with updated rows is available in the UI. 
+
+     ![`Dataset` UI - Published metadata.](./imgs/datasetui-popout-edit-published-meta.png)
+     ![`Dataset` UI - Published rows.](./imgs/datasetui-popout-edit-published-rows.png)
+   
+### Delete a `Dataset`
+
+1. Navigate to the Weave project containing the `Dataset` you want to edit.
+2. From the sidebar, select **Datasets**. Your available `Dataset`s display.
+3. In the **Object** column, click the name and version of the `Dataset` you want to delete. A pop-out modal showing `Dataset` information like name, version, author, and `Dataset` rows displays.
+
+4. In the upper right-hand corner of the modal, click the trash can icon. 
+
+   ![`Dataset` UI - Delete a `Dataset` icon.](./imgs/dataset-trashcan.png)
+
+   A pop-up modal prompting you to confirm `Dataset` deletion displays. 
+
+   ![`Dataset` UI - Confirm deletion modal.](./imgs/datasetui-delete-modal.png)
+
+5. In the pop-up modal, click the red **Delete** button to delete the `Dataset`. Alternatively, click **Cancel** if you don't want to delete the `Dataset`. 
+
+   Now, the `Dataset` is deleted, and no longer visible in the **Datasets** tab in your Weave dashboard.
\ No newline at end of file
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HcmV?d00001


From c393bc5766e1269b5b8199abd1b8001182f14b92 Mon Sep 17 00:00:00 2001
From: Nicholas Pun <182540099+nicholaspun-wandb@users.noreply.github.com>
Date: Tue, 4 Feb 2025 15:07:23 -0800
Subject: [PATCH 42/43] feat(app): Implement panel to step through run history
 tables (#3459)

---
 weave-js/src/common/types/file.ts             |   4 +
 weave-js/src/common/types/run.ts              |   7 +
 weave-js/src/common/util/table.ts             |  36 +++
 .../Panel2/PanelExpression/hooks.ts           |   8 +
 .../src/components/Panel2/PanelRegistry.tsx   |   2 +
 .../PanelRunHistoryTablesStepper/index.tsx    | 211 ++++++++++++++++++
 .../Panel2/PanelRunsTable/index.tsx           |  57 +----
 .../components/Panel2/panellib/libpanel.ts    |   5 +
 8 files changed, 283 insertions(+), 47 deletions(-)
 create mode 100644 weave-js/src/common/types/file.ts
 create mode 100644 weave-js/src/common/types/run.ts
 create mode 100644 weave-js/src/common/util/table.ts
 create mode 100644 weave-js/src/components/Panel2/PanelRunHistoryTablesStepper/index.tsx

diff --git a/weave-js/src/common/types/file.ts b/weave-js/src/common/types/file.ts
new file mode 100644
index 000000000000..c8b3b7560c90
--- /dev/null
+++ b/weave-js/src/common/types/file.ts
@@ -0,0 +1,4 @@
+export const TABLE_FILE_TYPE = {
+  type: 'file' as const,
+  wbObjectType: {type: 'table' as const, columnTypes: {}},
+};
diff --git a/weave-js/src/common/types/run.ts b/weave-js/src/common/types/run.ts
new file mode 100644
index 000000000000..242b5363a001
--- /dev/null
+++ b/weave-js/src/common/types/run.ts
@@ -0,0 +1,7 @@
+export const LIST_RUNS_TYPE = {
+  type: 'list' as const,
+  objectType: {
+    type: 'union' as const,
+    members: ['none' as const, 'run' as const],
+  },
+};
diff --git a/weave-js/src/common/util/table.ts b/weave-js/src/common/util/table.ts
new file mode 100644
index 000000000000..166402bb7f9d
--- /dev/null
+++ b/weave-js/src/common/util/table.ts
@@ -0,0 +1,36 @@
+import {
+  isAssignableTo,
+  list,
+  listObjectType,
+  maybe,
+  Type,
+  typedDict,
+  typedDictPropertyTypes,
+} from '@wandb/weave/core';
+
+import {TABLE_FILE_TYPE} from '../types/file';
+
+export const getTableKeysFromNodeType = (
+  inputNodeType: Type,
+  defaultKey: string | null = null
+) => {
+  if (
+    inputNodeType != null &&
+    isAssignableTo(inputNodeType, list(typedDict({})))
+  ) {
+    const typeMap = typedDictPropertyTypes(listObjectType(inputNodeType));
+    const tableKeys = Object.keys(typeMap)
+      .filter(key => {
+        return isAssignableTo(typeMap[key], maybe(TABLE_FILE_TYPE));
+      })
+      .sort();
+    const value =
+      tableKeys.length > 0 &&
+      defaultKey != null &&
+      tableKeys.indexOf(defaultKey) !== -1
+        ? defaultKey
+        : tableKeys?.[0] ?? '';
+    return {tableKeys, value};
+  }
+  return {tableKeys: [], value: ''};
+};
diff --git a/weave-js/src/components/Panel2/PanelExpression/hooks.ts b/weave-js/src/components/Panel2/PanelExpression/hooks.ts
index 8028e1c089df..5ac57a5a3116 100644
--- a/weave-js/src/components/Panel2/PanelExpression/hooks.ts
+++ b/weave-js/src/components/Panel2/PanelExpression/hooks.ts
@@ -610,6 +610,14 @@ export function usePanelExpressionState(props: PanelExpressionProps) {
         ...results,
       ];
     }
+
+    // Only paginated tables are supported for run history tables stepper
+    results = results.filter(r => {
+      if (r.key.startsWith('run-history-tables-stepper')) {
+        return r.key === 'run-history-tables-stepper.row.table';
+      }
+      return true;
+    });
     return results;
   }, [handler, stackIds, weavePlotEnabled]);
 
diff --git a/weave-js/src/components/Panel2/PanelRegistry.tsx b/weave-js/src/components/Panel2/PanelRegistry.tsx
index 1f9301e309e4..94e00b7ad67a 100644
--- a/weave-js/src/components/Panel2/PanelRegistry.tsx
+++ b/weave-js/src/components/Panel2/PanelRegistry.tsx
@@ -45,6 +45,7 @@ import {weavePythonPanelSpecs} from './PanelRegistryWeavePython';
 // converters
 import {Spec as RowSpec} from './PanelRow';
 import {Spec as RunColorSpec} from './PanelRunColor';
+import {Spec as PanelRunHistoryTablesStepperSpec} from './PanelRunHistoryTablesStepper';
 import {Spec as RunOverviewSpec} from './PanelRunOverview';
 import {Spec as PanelRunsTableSpec} from './PanelRunsTable';
 import {Spec as SavedModelSpec} from './PanelSavedModel';
@@ -237,4 +238,5 @@ export const ConverterSpecs = (): ConverterSpecArray =>
         Panel.toConvertSpec(MultiTableSpec2),
         Panel.toConvertSpec(ProjectionSpec),
         Panel.toConvertSpec(PanelRunsTableSpec),
+        Panel.toConvertSpec(PanelRunHistoryTablesStepperSpec),
       ]);
diff --git a/weave-js/src/components/Panel2/PanelRunHistoryTablesStepper/index.tsx b/weave-js/src/components/Panel2/PanelRunHistoryTablesStepper/index.tsx
new file mode 100644
index 000000000000..583866bb3ca0
--- /dev/null
+++ b/weave-js/src/components/Panel2/PanelRunHistoryTablesStepper/index.tsx
@@ -0,0 +1,211 @@
+import SliderInput from '@wandb/weave/common/components/elements/SliderInput';
+import {
+  constFunction,
+  constNodeUnsafe,
+  constNumber,
+  constString,
+  file,
+  NodeOrVoidNode,
+  opDict,
+  opFileTable,
+  opIndex,
+  opMap,
+  opPick,
+  opRunHistory,
+  opTableRows,
+  voidNode,
+} from '@wandb/weave/core';
+import React, {useEffect, useState} from 'react';
+
+import {LIST_RUNS_TYPE} from '../../../common/types/run';
+import {getTableKeysFromNodeType} from '../../../common/util/table';
+import {useNodeValue, useNodeWithServerType} from '../../../react';
+import * as ConfigPanel from '../ConfigPanel';
+import * as Panel2 from '../panel';
+import {PanelComp2} from '../PanelComp';
+import {TableSpec} from '../PanelTable/PanelTable';
+
+type PanelRunsHistoryTablesConfigType = {
+  tableHistoryKey: string;
+};
+
+type PanelRunHistoryTablesStepperProps = Panel2.PanelProps<
+  typeof LIST_RUNS_TYPE,
+  PanelRunsHistoryTablesConfigType
+>;
+
+const PanelRunHistoryTablesStepperConfig: React.FC<
+  PanelRunHistoryTablesStepperProps
+> = props => {
+  const firstRun = opIndex({arr: props.input, index: constNumber(0)});
+  const runHistoryNode = opRunHistory({run: firstRun as any});
+  const runHistoryRefined = useNodeWithServerType(runHistoryNode);
+  const {tableKeys, value} = getTableKeysFromNodeType(
+    runHistoryRefined.result?.type,
+    props.config?.tableHistoryKey
+  );
+  const options = tableKeys.map(key => ({text: key, value: key}));
+  const updateConfig = props.updateConfig;
+  const setSummaryKey = React.useCallback(
+    val => {
+      updateConfig({tableHistoryKey: val});
+    },
+    [updateConfig]
+  );
+
+  return (
+    <ConfigPanel.ConfigOption label="Table">
+      <ConfigPanel.ModifiedDropdownConfigField
+        selection
+        data-test="compare_method"
+        scrolling
+        multiple={false}
+        options={options}
+        value={value}
+        onChange={(e, data) => {
+          setSummaryKey(data.value as any);
+        }}
+      />
+    </ConfigPanel.ConfigOption>
+  );
+};
+
+const PanelRunHistoryTablesStepper: React.FC<
+  PanelRunHistoryTablesStepperProps
+> = props => {
+  const [currentStep, setCurrentStep] = useState(0);
+  const [currentTableHistoryKey, setCurrentTableHistoryKey] =
+    useState<any>(null);
+  const [steps, setSteps] = useState<number[]>([]);
+  const [tables, setTables] = useState<any[]>([]);
+
+  const {input, config} = props;
+  const firstRun = opIndex({arr: input, index: constNumber(0)});
+  const runHistoryNode = opRunHistory({run: firstRun as any});
+  const runHistoryRefined = useNodeWithServerType(runHistoryNode);
+  const {value} = getTableKeysFromNodeType(
+    runHistoryRefined.result?.type,
+    config?.tableHistoryKey
+  );
+  const tableWithStepsNode = opMap({
+    arr: runHistoryRefined.result as any,
+    mapFn: constFunction({row: runHistoryRefined.result.type}, ({row}) =>
+      opDict({
+        _step: opPick({obj: row, key: constString('_step')}),
+        table: opPick({obj: row, key: constString(value ?? '')}),
+      } as any)
+    ) as any,
+  });
+
+  const {
+    result: tablesWithStepsNodeResult,
+    loading: tablesWithStepsNodeLoading,
+  } = useNodeValue(tableWithStepsNode, {
+    skip: !value || currentTableHistoryKey === value,
+  });
+
+  useEffect(() => {
+    if (tablesWithStepsNodeLoading) {
+      return;
+    }
+
+    if (tablesWithStepsNodeResult != null) {
+      const nonNullTables = tablesWithStepsNodeResult.filter(
+        (row: any) => row.table != null
+      );
+      const newSteps = nonNullTables.map((row: any) => row._step);
+      const newTables = nonNullTables.map((row: any) => row.table);
+      setSteps(newSteps);
+      setCurrentStep(newSteps[0]);
+      setCurrentTableHistoryKey(value);
+      setTables(newTables);
+    }
+  }, [tablesWithStepsNodeResult, tablesWithStepsNodeLoading, value]);
+
+  const tableIndex = steps.indexOf(currentStep);
+  let defaultNode: NodeOrVoidNode = voidNode();
+  if (tableIndex !== -1 && tables[tableIndex] != null) {
+    defaultNode = opTableRows({
+      table: opFileTable({
+        file: constNodeUnsafe(
+          file('json', {type: 'table', columnTypes: {}}),
+          tables[tableIndex]
+        ),
+      }),
+    });
+  }
+
+  return (
+    <>
+      {defaultNode != null && (
+        <div
+          style={{
+            display: 'flex',
+            flexDirection: 'column',
+            width: '100%',
+            height: '100%',
+            padding: '2px',
+            overflowY: 'auto',
+          }}>
+          <PanelComp2
+            input={defaultNode}
+            inputType={defaultNode.type}
+            loading={props.loading}
+            panelSpec={TableSpec}
+            configMode={false}
+            config={config}
+            context={props.context}
+            updateConfig={props.updateConfig}
+            updateContext={props.updateContext}
+            updateInput={props.updateInput}
+          />
+          {steps.length > 0 && (
+            <div
+              style={{
+                padding: '2px',
+                height: '1.7em',
+                borderTop: '1px solid #ddd',
+                backgroundColor: '#f8f8f8',
+                display: 'flex',
+                justifyContent: 'center',
+                alignItems: 'center',
+              }}>
+              <SliderInput
+                min={steps[0]}
+                max={steps[steps.length - 1]}
+                minLabel={steps[0].toString()}
+                maxLabel={steps[steps.length - 1].toString()}
+                hasInput={true}
+                value={currentStep}
+                step={1}
+                ticks={steps}
+                onChange={setCurrentStep}
+              />
+            </div>
+          )}
+        </div>
+      )}
+    </>
+  );
+};
+
+export const Spec: Panel2.PanelSpec<PanelRunsHistoryTablesConfigType> = {
+  id: 'run-history-tables-stepper',
+  displayName: 'Run History Tables Stepper',
+  Component: PanelRunHistoryTablesStepper,
+  ConfigComponent: PanelRunHistoryTablesStepperConfig,
+  inputType: LIST_RUNS_TYPE,
+  outputType: () => ({
+    type: 'list' as const,
+    objectType: {
+      type: 'list' as const,
+      objectType: {type: 'typedDict' as const, propertyTypes: {}},
+    },
+  }),
+};
+
+Panel2.registerPanelFunction(
+  Spec.id,
+  Spec.inputType,
+  Spec.equivalentTransform!
+);
diff --git a/weave-js/src/components/Panel2/PanelRunsTable/index.tsx b/weave-js/src/components/Panel2/PanelRunsTable/index.tsx
index 61e6a60f83af..8942ac32dbb0 100644
--- a/weave-js/src/components/Panel2/PanelRunsTable/index.tsx
+++ b/weave-js/src/components/Panel2/PanelRunsTable/index.tsx
@@ -3,39 +3,24 @@ import {
   constString,
   isAssignableTo,
   list,
-  listObjectType,
-  maybe,
   opDropNa,
   opPick,
   opRunSummary,
-  Type,
   typedDict,
-  typedDictPropertyTypes,
 } from '@wandb/weave/core';
 import React from 'react';
 
+import {LIST_RUNS_TYPE} from '../../../common/types/run';
+import {getTableKeysFromNodeType} from '../../../common/util/table';
 import {useNodeWithServerType} from '../../../react';
 import * as ConfigPanel from '../ConfigPanel';
 import * as Panel2 from '../panel';
 import {normalizeTableLike} from '../PanelTable/tableType';
 
-const CUSTOM_TABLE_TYPE = {
-  type: 'file' as const,
-  wbObjectType: {type: 'table' as const, columnTypes: {}},
-};
-
-const inputType = {
-  type: 'list' as const,
-  objectType: {
-    type: 'union' as const,
-    members: ['none' as const, 'run' as const],
-  },
-};
-
 type PanelRunsTableConfigType = {summaryKey: string};
 
 type PanelRunsTableProps = Panel2.PanelProps<
-  typeof inputType,
+  typeof LIST_RUNS_TYPE,
   PanelRunsTableConfigType
 >;
 
@@ -43,37 +28,12 @@ const PanelRunsTable: React.FC<PanelRunsTableProps> = props => {
   throw new Error('PanelRunsTable: Cannot be rendered directly');
 };
 
-const getKeysFromInputType = (
-  inputNodeType?: Type,
-  config?: PanelRunsTableConfigType
-) => {
-  if (
-    inputNodeType != null &&
-    isAssignableTo(inputNodeType, list(typedDict({})))
-  ) {
-    const typeMap = typedDictPropertyTypes(listObjectType(inputNodeType));
-    const tableKeys = Object.keys(typeMap)
-      .filter(key => {
-        return isAssignableTo(typeMap[key], maybe(CUSTOM_TABLE_TYPE));
-      })
-      .sort();
-    const value =
-      tableKeys.length > 0 &&
-      config?.summaryKey != null &&
-      tableKeys.indexOf(config?.summaryKey) !== -1
-        ? config.summaryKey
-        : tableKeys?.[0] ?? '';
-    return {tableKeys, value};
-  }
-  return {tableKeys: [], value: ''};
-};
-
 const PanelRunsTableConfig: React.FC<PanelRunsTableProps> = props => {
   const runSummaryNode = opRunSummary({run: props.input});
   const runSummaryRefined = useNodeWithServerType(runSummaryNode);
-  const {tableKeys, value} = getKeysFromInputType(
+  const {tableKeys, value} = getTableKeysFromNodeType(
     runSummaryRefined.result?.type,
-    props.config
+    props.config?.summaryKey
   );
   const options = tableKeys.map(key => ({text: key, value: key}));
   const updateConfig = props.updateConfig;
@@ -106,7 +66,7 @@ export const Spec: Panel2.PanelSpec = {
   displayName: 'Run Tables',
   Component: PanelRunsTable,
   ConfigComponent: PanelRunsTableConfig,
-  inputType,
+  inputType: LIST_RUNS_TYPE,
   outputType: () => ({
     type: 'list' as const,
     objectType: {
@@ -120,7 +80,10 @@ export const Spec: Panel2.PanelSpec = {
     const defaultNode = constNodeUnsafe(expectedReturnType, []);
     const runSummaryNode = opRunSummary({run: inputNode as any});
     const runSummaryRefined = await refineType(runSummaryNode);
-    const {value} = getKeysFromInputType(runSummaryRefined.type, config);
+    const {value} = getTableKeysFromNodeType(
+      runSummaryRefined.type,
+      config?.summaryKey
+    );
 
     const runTableNode = opPick({
       obj: runSummaryNode,
diff --git a/weave-js/src/components/Panel2/panellib/libpanel.ts b/weave-js/src/components/Panel2/panellib/libpanel.ts
index 96cb7653921e..6bf72ab2a5d3 100644
--- a/weave-js/src/components/Panel2/panellib/libpanel.ts
+++ b/weave-js/src/components/Panel2/panellib/libpanel.ts
@@ -197,6 +197,11 @@ export function getStackIdAndName<X, C, T extends Type>(
       childDisplayName === 'Combined Table'
     ) {
       displayName = 'Run Tables  ▸  Combined';
+    } else if (
+      ourDisplayName === 'Run History Tables Stepper' &&
+      childDisplayName === 'Paginated Tables'
+    ) {
+      displayName = 'Run History Tables Stepper';
     } else if (
       ourDisplayName === 'Combined Table' &&
       childDisplayName === 'Table'

From 286c89b88c53db46c3c4f93381d82ebd570eac0e Mon Sep 17 00:00:00 2001
From: Nicholas Pun <182540099+nicholaspun-wandb@users.noreply.github.com>
Date: Tue, 4 Feb 2025 18:21:55 -0800
Subject: [PATCH 43/43] feat(app): pass derived columns as new variables onto
 the stack in panel plots (#3569)

---
 .../components/Panel2/PanelPlot/PanelPlot.tsx | 47 +++++++++++++++++--
 .../Panel2/PanelTable/PanelTable.tsx          | 15 +-----
 .../src/components/Panel2/PanelTable/util.ts  | 12 +++++
 3 files changed, 57 insertions(+), 17 deletions(-)

diff --git a/weave-js/src/components/Panel2/PanelPlot/PanelPlot.tsx b/weave-js/src/components/Panel2/PanelPlot/PanelPlot.tsx
index 1b8e3bd77073..40bf51239c1e 100644
--- a/weave-js/src/components/Panel2/PanelPlot/PanelPlot.tsx
+++ b/weave-js/src/components/Panel2/PanelPlot/PanelPlot.tsx
@@ -1,4 +1,4 @@
-import {isAssignableTo, maybe} from '@wandb/weave/core';
+import {isAssignableTo, maybe, NodeOrVoidNode} from '@wandb/weave/core';
 import {produce} from 'immer';
 import _ from 'lodash';
 import React, {useCallback, useMemo, useState} from 'react';
@@ -17,9 +17,10 @@ import {IconAddNew, IconDelete} from '../Icons';
 import {LayoutTabs} from '../LayoutTabs';
 import * as Panel2 from '../panel';
 import {Panel2Loader} from '../PanelComp';
-import {usePanelContext} from '../PanelContext';
+import {PanelContextProvider, usePanelContext} from '../PanelContext';
 import * as TableState from '../PanelTable/tableState';
 import * as TableType from '../PanelTable/tableType';
+import {getColumnVariables, useAutomatedTableState} from '../PanelTable/util';
 import {useConfig} from './config';
 import {ConfigDimComponent} from './ConfigDimComponent';
 import {PanelPlot2Inner} from './PanelPlot2Inner';
@@ -46,12 +47,32 @@ const PanelPlotConfig: React.FC<PanelPlotProps> = props => {
 
   const loaderComp = <Panel2Loader />;
 
+  const {config} = useConfig(inputNode, newProps.config);
+
+  const weave = useWeaveContext();
+
+  const {tableState, autoTable} = useAutomatedTableState(
+    input,
+    (config as any).tableState,
+    weave
+  );
+
+  const columnVariables: {[key: string]: NodeOrVoidNode} = useMemo(() => {
+    return getColumnVariables(
+      (config as any).tableState ?? tableState ?? autoTable
+    );
+  }, [config, tableState, autoTable]);
+
   if (typedInputNodeUse.loading) {
     return loaderComp;
   } else if (typedInputNodeUse.result.nodeType === 'void') {
     return <></>;
   } else {
-    return <PanelPlotConfigInner {...newProps} />;
+    return (
+      <PanelContextProvider newVars={columnVariables}>
+        <PanelPlotConfigInner {...newProps} />
+      </PanelContextProvider>
+    );
   }
 };
 
@@ -606,6 +627,22 @@ const PanelPlot2: React.FC<PanelPlotProps> = props => {
 
   const loaderComp = useLoader();
 
+  const {config} = useConfig(inputNode, props.config);
+
+  const weave = useWeaveContext();
+
+  const {tableState, autoTable} = useAutomatedTableState(
+    input,
+    (config as any).tableState,
+    weave
+  );
+
+  const columnVariables: {[key: string]: NodeOrVoidNode} = useMemo(() => {
+    return getColumnVariables(
+      (config as any).tableState ?? tableState ?? autoTable
+    );
+  }, [config, tableState, autoTable]);
+
   if (typedInputNodeUse.loading) {
     return <div style={{height: '100%', width: '100%'}}>{loaderComp}</div>;
   } else if (typedInputNodeUse.result.nodeType === 'void') {
@@ -613,7 +650,9 @@ const PanelPlot2: React.FC<PanelPlotProps> = props => {
   } else {
     return (
       <div style={{height: '100%', width: '100%'}}>
-        <PanelPlot2Inner {...newProps} />
+        <PanelContextProvider newVars={columnVariables}>
+          <PanelPlot2Inner {...newProps} />
+        </PanelContextProvider>
       </div>
     );
   }
diff --git a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
index 099209c7ed01..68f676f7400f 100644
--- a/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
+++ b/weave-js/src/components/Panel2/PanelTable/PanelTable.tsx
@@ -83,6 +83,7 @@ import * as TableType from './tableType';
 import {
   BaseTableDataType,
   getColumnCellFormats,
+  getColumnVariables,
   getTableMeasurements,
   nodeIsValidList,
   tableIsPanelVariable,
@@ -228,19 +229,7 @@ const PanelTableInnerConfigSetter: React.FC<
   }, [config, tableState, autoTable]);
 
   const columnVariables: {[key: string]: NodeOrVoidNode} = useMemo(() => {
-    const defineColumnVariables = (currentTableState: Table.TableState) => {
-      return Object.keys(currentTableState.columns).reduce(
-        (acc: {[key: string]: NodeOrVoidNode}, colId) => {
-          const columnName =
-            currentTableState.columnNames[colId] || colId.replace(/-/g, '');
-          acc[columnName] = currentTableState.columnSelectFunctions[colId];
-          return acc;
-        },
-        {}
-      );
-    };
-
-    return defineColumnVariables(config.tableState ?? tableState ?? autoTable);
+    return getColumnVariables(config.tableState ?? tableState ?? autoTable);
   }, [config.tableState, tableState, autoTable]);
 
   const [showColumnSelect, setShowColumnSelect] = React.useState(false);
diff --git a/weave-js/src/components/Panel2/PanelTable/util.ts b/weave-js/src/components/Panel2/PanelTable/util.ts
index 4937e5f90fe1..093871202ba4 100644
--- a/weave-js/src/components/Panel2/PanelTable/util.ts
+++ b/weave-js/src/components/Panel2/PanelTable/util.ts
@@ -458,3 +458,15 @@ export const useBaseTableData = (
 export const tableIsPanelVariable = (stack: Stack) => {
   return stack && stack.find(node => node.name === 'input') !== undefined;
 };
+
+export const getColumnVariables = (currentTableState: Table.TableState) => {
+  return Object.keys(currentTableState.columns).reduce(
+    (acc: {[key: string]: NodeOrVoidNode}, colId) => {
+      const columnName =
+        currentTableState.columnNames[colId] || colId.replace(/-/g, '');
+      acc[columnName] = currentTableState.columnSelectFunctions[colId];
+      return acc;
+    },
+    {}
+  );
+};