doc: update cookbook (#479)

* doc: update cookbook

* fix(cookbook): preserve tag keys during sync, strip local .md links

- Fix extract_tags_from_readme/notebook to return dict[str,str] preserving
  sdk/topic keys instead of bare values, preventing topics like
  "Customer Service" from being misclassified as SDK
- Add strip_local_md_links() to remove relative .md references that
  would cause broken link errors in Docusaurus build

* ci: run test-doc-examples independently without waiting for test-rust-cli

Build the CLI directly in the job instead of downloading the artifact,
so test-doc-examples can start at the beginning in parallel with all other jobs.

.github/workflows/test.yml

@@ -1297,7 +1297,6 @@ jobs:
 
   test-doc-examples:
     runs-on: ubuntu-latest
-    needs: test-rust-cli
     env:
       HINDSIGHT_API_LLM_PROVIDER: vertexai
       HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY: /tmp/gcp-credentials.json
@@ -1315,14 +1314,23 @@ jobs:
         PROJECT_ID=$(jq -r '.project_id' /tmp/gcp-credentials.json)
         echo "HINDSIGHT_API_LLM_VERTEXAI_PROJECT_ID=$PROJECT_ID" >> $GITHUB_ENV
 
-    - name: Download CLI artifact
+    - name: Install Rust
-      uses: actions/download-artifact@v4
+      uses: dtolnay/rust-toolchain@stable
-      with:
-        name: hindsight-cli
-        path: /usr/local/bin
 
-    - name: Make CLI executable
+    - name: Cache cargo
-      run: chmod +x /usr/local/bin/hindsight
+      uses: actions/cache@v4
+      with:
+        path: |
+          ~/.cargo/registry
+          ~/.cargo/git
+          hindsight-cli/target
+        key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
+
+    - name: Build CLI
+      working-directory: hindsight-cli
+      run: |
+        cargo build --release
+        cp target/release/hindsight /usr/local/bin/hindsight
 
     - name: Install uv
       uses: astral-sh/setup-uv@v5

hindsight-dev/hindsight_dev/sync_cookbook.py

@@ -29,16 +29,9 @@ IGNORE_DIRS = {".git", "notebooks", "node_modules", "__pycache__", ".venv", "ven
 
 
 def get_docs_dir() -> Path:
-    """Find the hindsight-docs directory relative to this script."""
+    """Find the hindsight-docs src/pages/cookbook directory relative to this script."""
-    # Navigate from hindsight-dev to hindsight-docs
     script_dir = Path(__file__).parent
-    docs_dir = script_dir.parent.parent / "hindsight-docs" / "docs" / "cookbook"
+    return script_dir.parent.parent / "hindsight-docs" / "src" / "pages" / "cookbook"
-    return docs_dir
-
-
-def get_sidebars_file() -> Path:
-    script_dir = Path(__file__).parent
-    return script_dir.parent.parent / "hindsight-docs" / "sidebars.ts"
 
 
 def slugify(filename: str) -> str:
@@ -82,30 +75,27 @@ def extract_description_from_notebook(notebook_path: Path) -> str | None:
     return None
 
 
-def extract_tags_from_notebook(notebook_path: Path) -> list[str]:
+def extract_tags_from_notebook(notebook_path: Path) -> dict[str, str]:
     """Extract tags from notebook metadata.
 
     Supports both array format and structured object format.
+    Returns a dict with keys like 'sdk', 'topic', 'language'.
     """
     try:
         content = json.loads(notebook_path.read_text())
         metadata = content.get("metadata", {})
         tags = metadata.get("tags", [])
 
-        # Array format: ["Python", "Client"]
+        # Object format already has the right structure
-        if isinstance(tags, list):
-            return tags
-
-        # Object format: { "language": "Python", "sdk": "Client", "topic": "Learning" }
         if isinstance(tags, dict):
-            result = []
+            return {k: v for k, v in tags.items() if v}
-            for key in ["language", "sdk", "topic"]:
+
-                if key in tags and tags[key]:
+        # Array format: fall back to heuristic conversion
-                    result.append(tags[key])
+        if isinstance(tags, list):
-            return result
+            return _infer_tags_from_list(tags)
     except Exception:
         pass
-    return []
+    return {}
 
 
 def extract_description_from_readme(readme_path: Path) -> str | None:
@@ -129,24 +119,24 @@ def extract_description_from_readme(readme_path: Path) -> str | None:
     return None
 
 
-def extract_tags_from_readme(readme_path: Path) -> list[str]:
+def extract_tags_from_readme(readme_path: Path) -> dict[str, str]:
     """Extract tags from frontmatter in README if present.
 
     Supports multiple formats:
     - Array: tags: ["Python", "Client"]
-    - Structured YAML: tags:\n  language: "Python"\n  sdk: "Client"
+    - Structured YAML: tags:\n  sdk: "hindsight-client"\n  topic: "Learning"
-    - Object literal: tags: { language: "Python", sdk: "Client" }
+    - Object literal: tags: { sdk: "hindsight-client", topic: "Learning" }
+
+    Returns a dict with keys like 'sdk', 'topic', 'language'.
     """
     try:
         content = readme_path.read_text()
-        # Check for frontmatter
         if content.startswith("---"):
             end_idx = content.find("---", 3)
             if end_idx > 0:
                 frontmatter = content[3:end_idx]
                 lines = frontmatter.split("\n")
 
-                # Look for tags: line
                 for i, line in enumerate(lines):
                     if line.strip().startswith("tags:"):
                         tags_str = line.split("tags:", 1)[1].strip()
@@ -154,51 +144,47 @@ def extract_tags_from_readme(readme_path: Path) -> list[str]:
                         # Inline array format: tags: ["Python", "Client"]
                         if tags_str.startswith("["):
                             tags_str = tags_str.strip("[]")
-                            return [t.strip().strip('"').strip("'") for t in tags_str.split(",")]
+                            values = [t.strip().strip('"').strip("'") for t in tags_str.split(",")]
+                            return _infer_tags_from_list(values)
 
-                        # JavaScript object literal format: tags: { language: "Python", sdk: "Client", topic: "Learning" }
+                        # Object literal: tags: { sdk: "hindsight-client", topic: "Learning" }
                         if tags_str.startswith("{"):
-                            tags = []
-                            # Extract the entire object literal (might span multiple lines)
                             obj_str = tags_str
                             if "}" not in obj_str:
-                                # Multi-line object - collect remaining lines
                                 for j in range(i + 1, len(lines)):
                                     obj_str += " " + lines[j].strip()
                                     if "}" in lines[j]:
                                         break
-
+                            result = {}
-                            # Parse the object literal
+                            for pair in obj_str.strip("{}").split(","):
-                            obj_str = obj_str.strip("{}")
-                            # Split by comma and extract key-value pairs
-                            for pair in obj_str.split(","):
                                 if ":" in pair:
-                                    key, value = pair.split(":", 1)
+                                    k, v = pair.split(":", 1)
-                                    value = value.strip().strip('"').strip("'")
+                                    k = k.strip().strip('"').strip("'")
-                                    if value:
+                                    v = v.strip().strip('"').strip("'")
-                                        tags.append(value)
+                                    if k and v:
-                            return tags
+                                        result[k] = v
+                            return result
 
-                        # Structured YAML format:
+                        # Structured YAML:
                         # tags:
-                        #   language: "Python"
+                        #   sdk: "hindsight-client"
-                        #   sdk: "Client"
+                        #   topic: "Learning"
-                        if not tags_str or tags_str == "":
+                        if not tags_str:
-                            # Parse structured tags from following lines
+                            result = {}
-                            tags = []
                             for j in range(i + 1, len(lines)):
                                 next_line = lines[j].strip()
                                 if not next_line or not next_line.startswith(("language:", "sdk:", "topic:")):
                                     break
-                                # Extract value
                                 if ":" in next_line:
-                                    value = next_line.split(":", 1)[1].strip().strip('"').strip("'")
+                                    k, v = next_line.split(":", 1)
-                                    if value:
+                                    k = k.strip()
-                                        tags.append(value)
+                                    v = v.strip().strip('"').strip("'")
-                            return tags
+                                    if k and v:
+                                        result[k] = v
+                            return result
     except Exception:
         pass
-    return []
+    return {}
 
 
 def extract_title_from_readme(readme_path: Path) -> str | None:
@@ -364,6 +350,17 @@ def process_applications(cookbook_dir: Path, apps_dir: Path) -> list[dict]:
         if not readme_path.exists():
             continue
 
+        # Validate that README has frontmatter
+        readme_raw = readme_path.read_text()
+        if not readme_raw.startswith("---"):
+            raise SystemExit(
+                f"Error: {readme_path} is missing frontmatter.\n"
+                f"Applications must have a frontmatter block (---) with 'description' and 'tags'."
+            )
+        closing = readme_raw.find("---", 3)
+        if closing <= 0:
+            raise SystemExit(f"Error: {readme_path} has malformed frontmatter (missing closing ---).")
+
         slug = entry.name
         title = extract_title_from_readme(readme_path) or " ".join(word.capitalize() for word in slug.split("-"))
         description = extract_description_from_readme(readme_path)
@@ -371,9 +368,10 @@ def process_applications(cookbook_dir: Path, apps_dir: Path) -> list[dict]:
 
         print(f"  Processing app: {entry.name} → {slug}.md")
 
-        # Read README content and strip existing frontmatter
+        # Read README content, strip existing frontmatter and local .md links
         readme_content = readme_path.read_text()
         readme_content = strip_frontmatter(readme_content)
+        readme_content = strip_local_md_links(readme_content)
 
         # Create application page with frontmatter
         app_url = f"https://github.com/vectorize-io/hindsight-cookbook/tree/main/applications/{entry.name}"
@@ -460,6 +458,14 @@ def update_sidebars(recipes: list[dict], apps: list[dict], sidebars_file: Path):
     print("\nUpdated sidebars.ts")
 
 
+def strip_local_md_links(content: str) -> str:
+    """Replace relative .md links with plain text to avoid broken links in Docusaurus.
+
+    e.g. [see article](article.md) → see article
+    """
+    return re.sub(r"\[([^\]]+)\]\((?!https?://)([^)]+\.md)\)", r"\1", content)
+
+
 def clean_description(desc: str) -> str:
     """Clean description for display in carousel cards."""
     if not desc:
@@ -482,34 +488,19 @@ def clean_description(desc: str) -> str:
     return desc
 
 
-def convert_tags_to_structured(tags: list[str]) -> dict[str, str]:
+def _infer_tags_from_list(tags: list[str]) -> dict[str, str]:
-    """Convert list of tags to structured format.
+    """Infer sdk/topic structure from a plain list of tag values (legacy array format).
 
-    New format has 2 tags:
+    Uses heuristics: package names contain '@' or '-' or start lowercase → sdk,
-    - sdk: Package name (detected from tag values)
+    everything else → topic.
-    - topic: anything else (Learning, Quick Start, etc.)
-
-    Supported languages:
-    - Node.js: packages starting with '@vectorize-io'
-    - Go: packages ending with '-go' or containing 'go-'
-    - Python: everything else
     """
-    structured = {}
+    result: dict[str, str] = {}
-    topic_tags = {"Learning", "Quick Start", "Recommendation", "Chat"}
-
     for tag in tags:
-        # Check if it's a topic tag
+        if "@" in tag or (tag and not tag[0].isupper()):
-        if tag in topic_tags:
+            result["sdk"] = tag
-            structured["topic"] = tag
-        # Check if it's already a package name (contains @ or -)
-        elif "@" in tag or (tag and not tag[0].isupper()):
-            structured["sdk"] = tag
         else:
-            # Legacy tag values - map to new format
+            result["topic"] = tag
-            # For now, treat everything else as SDK/package identifier
+    return result
-            structured["sdk"] = tag
-
-    return structured
 
 
 def update_cookbook_index(recipes: list[dict], apps: list[dict], docs_dir: Path):
@@ -521,21 +512,16 @@ def update_cookbook_index(recipes: list[dict], apps: list[dict], docs_dir: Path)
         description = r.get("description", "")
         if description:
             description = clean_description(description).replace('"', '\\"')
-        tags = r.get("tags", [])
+        tags: dict[str, str] = r.get("tags", {})
 
         item = f'    {{\n      title: "{title}",\n      href: "/cookbook/recipes/{r["slug"]}"'
         if description:
             item += f',\n      description: "{description}"'
         if tags:
-            # Convert tags list to structured format
-            structured_tags = convert_tags_to_structured(tags)
             tags_parts = []
-            if "language" in structured_tags:
+            for key in ("language", "sdk", "topic"):
-                tags_parts.append(f'language: "{structured_tags["language"]}"')
+                if key in tags:
-            if "sdk" in structured_tags:
+                    tags_parts.append(f'{key}: "{tags[key]}"')
-                tags_parts.append(f'sdk: "{structured_tags["sdk"]}"')
-            if "topic" in structured_tags:
-                tags_parts.append(f'topic: "{structured_tags["topic"]}"')
             if tags_parts:
                 item += f",\n      tags: {{ {', '.join(tags_parts)} }}"
         item += "\n    }"
@@ -550,21 +536,16 @@ def update_cookbook_index(recipes: list[dict], apps: list[dict], docs_dir: Path)
         description = a.get("description", "")
         if description:
             description = clean_description(description).replace('"', '\\"')
-        tags = a.get("tags", [])
+        tags = a.get("tags", {})
 
         item = f'    {{\n      title: "{title}",\n      href: "/cookbook/applications/{a["slug"]}"'
         if description:
             item += f',\n      description: "{description}"'
         if tags:
-            # Convert tags list to structured format
-            structured_tags = convert_tags_to_structured(tags)
             tags_parts = []
-            if "language" in structured_tags:
+            for key in ("language", "sdk", "topic"):
-                tags_parts.append(f'language: "{structured_tags["language"]}"')
+                if key in tags:
-            if "sdk" in structured_tags:
+                    tags_parts.append(f'{key}: "{tags[key]}"')
-                tags_parts.append(f'sdk: "{structured_tags["sdk"]}"')
-            if "topic" in structured_tags:
-                tags_parts.append(f'topic: "{structured_tags["topic"]}"')
             if tags_parts:
                 item += f",\n      tags: {{ {', '.join(tags_parts)} }}"
         item += "\n    }"
@@ -573,34 +554,42 @@ def update_cookbook_index(recipes: list[dict], apps: list[dict], docs_dir: Path)
     apps_json = ",\n".join(app_items)
 
     content = f"""---
-sidebar_position: 1
+title: Cookbook
 hide_table_of_contents: true
-pagination_next: null
-pagination_prev: null
-custom_edit_url: null
-sidebar_class_name: hidden-sidebar
 ---
 
-import RecipeCarousel from '@site/src/components/RecipeCarousel';
+import CookbookGrid from '@site/src/components/CookbookGrid';
 
-<div className="cookbook-page">
+<div>
 
-# Cookbook
+<div style={{{{textAlign: 'center', marginBottom: '3.5rem'}}}}>
+  <h1 style={{{{
+    fontSize: '3rem',
+    fontWeight: 800,
+    background: 'linear-gradient(135deg, #0074d9, #009296)',
+    WebkitBackgroundClip: 'text',
+    WebkitTextFillColor: 'transparent',
+    backgroundClip: 'text',
+    letterSpacing: '-0.03em',
+    lineHeight: 1.15,
+    marginBottom: '0.75rem',
+  }}}}>Cookbook</h1>
+  <p style={{{{fontSize: '1.05rem', color: 'var(--ifm-color-emphasis-600)', maxWidth: 520, margin: '0 auto', lineHeight: 1.7}}}}>
+    Practical examples and complete applications built with Hindsight.
+  </p>
+</div>
 
-Learn how to build with Hindsight through practical examples:
+## Recipes
 
-- **[Recipes](#recipes)** - Step-by-step guides and patterns for common use cases
+<CookbookGrid
-- **[Applications](#applications)** - Complete, runnable applications demonstrating Hindsight integration
-
-<RecipeCarousel
-  title="Recipes"
   items={{[
 {recipes_json}
   ]}}
 />
 
-<RecipeCarousel
+## Applications
-  title="Applications"
+
+<CookbookGrid
   items={{[
 {apps_json}
   ]}}
@@ -682,7 +671,6 @@ def main():
     print("Syncing hindsight-cookbook...\n")
 
     docs_dir = get_docs_dir()
-    sidebars_file = get_sidebars_file()
     recipes_dir = docs_dir / "recipes"
     apps_dir = docs_dir / "applications"
 
@@ -758,9 +746,8 @@ def main():
         all_recipes = recipes + manual_recipes
         all_apps = apps + manual_apps
 
-        # Update sidebars.ts and index
+        # Update cookbook index
         if all_recipes or all_apps:
-            update_sidebars(all_recipes, all_apps, sidebars_file)
             update_cookbook_index(all_recipes, all_apps, docs_dir)
 
         print(

hindsight-docs/src/components/CookbookGrid.module.css

@@ -1,3 +1,75 @@
+/* Filters */
+.filters {
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+  margin-bottom: 1.25rem;
+}
+
+.filterGroup {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+  gap: 0.4rem;
+}
+
+.filterLabel {
+  font-size: 0.72rem;
+  font-weight: 700;
+  color: var(--ifm-color-emphasis-500);
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+  min-width: 44px;
+}
+
+.filterPill {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.3rem;
+  font-size: 0.78rem;
+  font-weight: 500;
+  padding: 0.2rem 0.65rem;
+  border-radius: 999px;
+  border: 1px solid var(--ifm-color-emphasis-300);
+  background: transparent;
+  color: var(--ifm-color-emphasis-700);
+  cursor: pointer;
+  transition: all 0.15s ease;
+  font-family: inherit;
+}
+
+.filterPill:hover {
+  border-color: var(--ifm-color-primary);
+  color: var(--ifm-color-primary);
+}
+
+.filterPillActive {
+  background: var(--ifm-color-primary);
+  border-color: var(--ifm-color-primary);
+  color: #fff;
+}
+
+.filterPillActive:hover {
+  color: #fff;
+}
+
+.filterPillIcon {
+  width: 13px;
+  height: 13px;
+  object-fit: contain;
+  flex-shrink: 0;
+  vertical-align: middle;
+}
+
+[data-theme='dark'] .filterPill {
+  border-color: rgba(255, 255, 255, 0.15);
+  color: var(--ifm-color-emphasis-600);
+}
+
+[data-theme='dark'] .filterPillActive {
+  color: #fff;
+}
+
 .grid {
   display: grid;
   grid-template-columns: repeat(3, 1fr);
@@ -100,6 +172,9 @@
 }
 
 .cardSdk {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.3rem;
   font-size: 0.72rem;
   font-weight: 500;
   font-family: 'JetBrains Mono', 'Fira Code', monospace;
@@ -109,6 +184,13 @@
   border-radius: 4px;
 }
 
+.sdkIcon {
+  width: 13px;
+  height: 13px;
+  object-fit: contain;
+  flex-shrink: 0;
+}
+
 [data-theme='dark'] .cardSdk {
   background: rgba(255, 255, 255, 0.07);
   color: var(--ifm-color-emphasis-600);

hindsight-docs/src/components/CookbookGrid.tsx

@@ -1,5 +1,6 @@
-import React from 'react';
+import React, {useState} from 'react';
 import Link from '@docusaurus/Link';
+import useBaseUrl from '@docusaurus/useBaseUrl';
 import styles from './CookbookGrid.module.css';
 
 export interface CookbookCard {
@@ -16,6 +17,26 @@ interface CookbookGridProps {
   items: CookbookCard[];
 }
 
+function sdkIcon(sdk: string): string | null {
+  if (sdk.startsWith('@') || sdk.includes('node') || sdk.includes('chat') || sdk.includes('ai-sdk')) {
+    return '/img/icons/nodejs.png';
+  }
+  if (sdk.includes('-go') || sdk === 'go') {
+    return '/img/icons/golang.png';
+  }
+  if (sdk.includes('hindsight-client') || sdk.includes('hindsight-api') || sdk.includes('litellm') || sdk.includes('pydantic') || sdk.includes('crewai')) {
+    return '/img/icons/python.svg';
+  }
+  return null;
+}
+
+function SdkIcon({sdk, className}: {sdk: string; className?: string}) {
+  const icon = sdkIcon(sdk);
+  const src = useBaseUrl(icon ?? '');
+  if (!icon) return null;
+  return <img src={src} alt="" className={className} aria-hidden />;
+}
+
 function Card({title, href, description, tags}: CookbookCard) {
   return (
     <Link to={href} className={styles.card}>
@@ -25,7 +46,12 @@ function Card({title, href, description, tags}: CookbookCard) {
         {(tags?.topic || tags?.sdk) && (
           <div className={styles.cardFooter}>
             {tags.topic && <span className={styles.cardTopic}>{tags.topic}</span>}
-            {tags.sdk && <span className={styles.cardSdk}>{tags.sdk}</span>}
+            {tags.sdk && (
+              <span className={styles.cardSdk}>
+                <SdkIcon sdk={tags.sdk} className={styles.sdkIcon} />
+                {tags.sdk}
+              </span>
+            )}
           </div>
         )}
       </div>
@@ -34,11 +60,68 @@ function Card({title, href, description, tags}: CookbookCard) {
 }
 
 export default function CookbookGrid({items}: CookbookGridProps) {
+  const [selectedTopic, setSelectedTopic] = useState<string | null>(null);
+  const [selectedSdk, setSelectedSdk] = useState<string | null>(null);
+
+  const topics = [...new Set(items.map((i) => i.tags?.topic).filter(Boolean))] as string[];
+  const sdks = [...new Set(items.map((i) => i.tags?.sdk).filter(Boolean))] as string[];
+
+  const filtered = items.filter((item) => {
+    if (selectedTopic && item.tags?.topic !== selectedTopic) return false;
+    if (selectedSdk && item.tags?.sdk !== selectedSdk) return false;
+    return true;
+  });
+
+  const hasFilters = topics.length > 1 || sdks.length > 1;
+
   return (
+    <div>
+      {hasFilters && (
+        <div className={styles.filters}>
+          {topics.length > 1 && (
+            <div className={styles.filterGroup}>
+              <span className={styles.filterLabel}>Topic</span>
+              <button
+                className={`${styles.filterPill} ${selectedTopic === null ? styles.filterPillActive : ''}`}
+                onClick={() => setSelectedTopic(null)}>
+                All
+              </button>
+              {topics.map((topic) => (
+                <button
+                  key={topic}
+                  className={`${styles.filterPill} ${selectedTopic === topic ? styles.filterPillActive : ''}`}
+                  onClick={() => setSelectedTopic(selectedTopic === topic ? null : topic)}>
+                  {topic}
+                </button>
+              ))}
+            </div>
+          )}
+          {sdks.length > 1 && (
+            <div className={styles.filterGroup}>
+              <span className={styles.filterLabel}>SDK</span>
+              <button
+                className={`${styles.filterPill} ${selectedSdk === null ? styles.filterPillActive : ''}`}
+                onClick={() => setSelectedSdk(null)}>
+                All
+              </button>
+              {sdks.map((sdk) => (
+                <button
+                  key={sdk}
+                  className={`${styles.filterPill} ${selectedSdk === sdk ? styles.filterPillActive : ''}`}
+                  onClick={() => setSelectedSdk(selectedSdk === sdk ? null : sdk)}>
+                  <SdkIcon sdk={sdk} className={styles.filterPillIcon} />
+                  {sdk}
+                </button>
+              ))}
+            </div>
+          )}
+        </div>
+      )}
       <div className={styles.grid}>
-      {items.map((item) => (
+        {filtered.map((item) => (
           <Card key={item.href} {...item} />
         ))}
       </div>
+    </div>
   );
 }

hindsight-docs/src/css/custom.css

@@ -396,7 +396,7 @@ a.menu__link[href*="/sdks/python"]::before {
 
 /* Node.js logo */
 a.menu__link[href*="/sdks/nodejs"]::before {
-  background-image: url('/img/icons/nodejs.svg');
+  background-image: url('/img/icons/nodejs.png');
 }
 
 /* CLI - terminal icon */

hindsight-docs/src/pages/cookbook/applications/cable-co.md

@@ -0,0 +1,143 @@
+---
+sidebar_position: 1
+---
+
+# CableConnect — AI Customer Service Copilot Demo
+
+
+:::info Complete Application
+This is a complete, runnable application demonstrating Hindsight integration.
+[**View source on GitHub →**](https://github.com/vectorize-io/hindsight-cookbook/tree/main/applications/cable-co)
+:::
+
+
+An AI copilot that assists a customer service representative (CSR) by suggesting responses and actions for simulated customer scenarios. The CSR approves or rejects each suggestion with feedback. The copilot learns from corrections via [Hindsight](https://hindsight.vectorize.io) and stops repeating mistakes.
+
+## Prerequisites
+
+- Python 3.11+
+- Node.js 18+
+- An OpenAI API key (for GPT-4o)
+- A Hindsight API key ([sign up](https://hindsight.vectorize.io))
+
+## Quick Start
+
+### 1. Backend
+
+```bash
+cd backend
+
+# Create and activate a virtual environment
+python -m venv venv
+source venv/bin/activate
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Create a .env file with your credentials
+cat > .env << 'EOF'
+OPENAI_API_KEY=sk-your-openai-key
+HINDSIGHT_API_KEY=hsk_your-hindsight-key
+HINDSIGHT_API_URL=https://api.hindsight.vectorize.io
+HINDSIGHT_BANK_NAME=cable-connect-demo
+EOF
+
+# Start the backend (port 8002)
+./run.sh
+```
+
+### 2. Frontend
+
+In a second terminal:
+
+```bash
+cd frontend
+
+# Install dependencies
+npm install
+
+# Start the dev server (port 5173)
+npm run dev
+```
+
+Open http://localhost:5173 in your browser.
+
+## Running the Demo
+
+1. Click **Next Customer** to load the first scenario
+2. The AI copilot will analyze the customer's issue and suggest a response
+3. Review the suggestion in the right panel:
+   - **Send to Customer** — approves the response, sends it to the customer chat
+   - **Approve** — executes a system action (credit, dispatch, etc.)
+   - **Reject** — type feedback explaining what was wrong
+4. The copilot adjusts based on your feedback and tries again
+5. Continue until the customer is satisfied, then approve the resolve action
+6. Click **Next Customer** for the next scenario
+
+### What to Watch For
+
+The 8 scenarios include 3 **learning pairs** — the first scenario teaches the agent a rule, the second tests whether it remembers:
+
+| Pair | Scenarios | What the Agent Learns |
+|------|-----------|----------------------|
+| A | 2 then 4 | Credit adjustments are capped at $25 |
+| B | 3 then 8 | Run remote diagnostics before scheduling a dispatch |
+| C | 5 then 6 | Retention offers require 24+ months of tenure |
+
+With **Memory On** (the default), the copilot recalls past CSR feedback before each new customer. By the test scenario, it should handle the situation correctly without being corrected.
+
+Toggle **Memory Off** to see how the agent behaves without learning — it will make the same mistakes every time.
+
+### Controls
+
+- **Mode** dropdown — Switch between Memory On and Memory Off
+- **Reset** — Deletes all stored memories and starts the scenario queue over
+- **Refresh Models** — Manually triggers a refresh of the agent's mental models
+
+## Configuration
+
+All configuration is via environment variables in `backend/.env`:
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `OPENAI_API_KEY` | — | Your OpenAI API key (required) |
+| `HINDSIGHT_API_KEY` | — | Your Hindsight API key (required) |
+| `HINDSIGHT_API_URL` | `https://api.hindsight.vectorize.io` | Hindsight API endpoint |
+| `HINDSIGHT_BANK_NAME` | `cable-connect-demo` | Name of the memory bank |
+| `LLM_MODEL` | `openai/gpt-4o` | LLM model (via LiteLLM format) |
+| `BACKEND_PORT` | `8002` | Backend server port |
+
+## Project Structure
+
+```
+cable-co/
+├── backend/
+│   ├── run.sh                  # Start script (loads .env, runs uvicorn)
+│   ├── requirements.txt
+│   ├── telecom_data.py         # Accounts, plans, billing, outages, scenarios
+│   ├── agent_tools.py          # 19 tools + business rule hints
+│   └── app/
+│       ├── main.py             # FastAPI + WebSocket
+│       ├── config.py
+│       └── services/
+│           ├── agent_service.py    # Copilot loop with CSR approval gate
+│           └── memory_service.py   # Hindsight retain/recall/mental models
+├── frontend/
+│   ├── package.json
+│   ├── vite.config.ts
+│   └── src/
+│       ├── App.tsx
+│       ├── stores/sessionStore.ts
+│       ├── hooks/useWebSocket.ts
+│       └── components/
+│           ├── ControlBar.tsx
+│           ├── CustomerChat.tsx
+│           ├── CopilotChat.tsx
+│           ├── KnowledgePanel.tsx
+│           └── MentalModelsPanel.tsx
+└── article.md                  # Detailed writeup of how agent learning works
+```
+
+## How It Works
+
+See article.md for a detailed explanation of the agent learning architecture, including how Hindsight transforms CSR feedback into observations and mental models that improve the copilot's behavior over time.

hindsight-docs/src/pages/cookbook/applications/chat-memory-cloud.md

@@ -0,0 +1,122 @@
+---
+sidebar_position: 3
+---
+
+# Chat Memory App (Hindsight Cloud)
+
+
+:::info Complete Application
+This is a complete, runnable application demonstrating Hindsight integration.
+[**View source on GitHub →**](https://github.com/vectorize-io/hindsight-cookbook/tree/main/applications/chat-memory-cloud)
+:::
+
+
+A demo chat application with persistent per-user memory powered by [Hindsight Cloud](https://hindsight.vectorize.io). Supports OpenAI or Groq as the LLM provider. No local Hindsight server required.
+
+## Features
+
+- 🧠 **Persistent Memory**: Each user gets their own memory bank that remembers conversations
+- ☁️ **Hindsight Cloud**: Memory stored in the cloud — no Docker setup needed
+- 🔀 **Selectable LLM**: Choose between OpenAI (GPT-4o) or Groq (Qwen 32B)
+- 🎯 **Per-User Context**: Isolated memory per user with automatic context retrieval
+- 💬 **Real-time Chat**: Instant responses with memory-augmented context
+
+## Setup
+
+### 1. Get API Keys
+
+- **Hindsight** — Sign up at https://hindsight.vectorize.io
+- **OpenAI** — https://platform.openai.com/api-keys
+- **Groq** (alternative) — Free at https://console.groq.com/home
+
+### 2. Configure Environment
+
+Edit `.env.local` with your API keys and preferred provider:
+
+```bash
+# LLM Provider: "openai" or "groq"
+LLM_PROVIDER=openai
+
+# OpenAI (required if LLM_PROVIDER=openai)
+OPENAI_API_KEY=sk-your-key-here
+
+# Groq (required if LLM_PROVIDER=groq)
+GROQ_API_KEY=gsk_your-key-here
+
+# Hindsight Cloud
+HINDSIGHT_API_URL=https://api.hindsight.vectorize.io
+HINDSIGHT_API_KEY=hsk_your-key-here
+```
+
+You can also override the model with `LLM_MODEL` (defaults to `gpt-4o` for OpenAI, `qwen/qwen3-32b` for Groq).
+
+### 3. Install Dependencies
+
+```bash
+npm install
+```
+
+### 4. Run the App
+
+```bash
+npm run dev
+```
+
+Open http://localhost:3000 in your browser.
+
+## How It Works
+
+1. **User Identity**: Each browser session gets a unique user ID
+2. **Memory Bank Creation**: First message creates a personal memory bank in Hindsight Cloud
+3. **Context Retrieval**: Before responding, relevant memories are recalled
+4. **Memory Augmented Response**: LLM generates responses with memory context
+5. **Conversation Storage**: Each conversation is retained for future context
+
+## Architecture
+
+```
+User Message
+     ↓
+Next.js API Route (/api/chat)
+     ↓
+Hindsight Cloud recall() → Get relevant memories
+     ↓
+OpenAI or Groq → Generate response with memory context
+     ↓
+Hindsight Cloud retain() → Store conversation
+     ↓
+Response to User
+```
+
+## Memory Bank Structure
+
+Each user gets their own isolated memory bank with:
+- **Name**: "Chat Memory for [userId]"
+- **Background**: Conversational AI assistant context
+- **Disposition**: Empathetic (4), Low Skepticism (2), Balanced Literalism (3)
+
+## Try It Out
+
+1. **First Conversation**: Tell the assistant about yourself
+   - "Hi! I'm a software engineer from San Francisco. I love Python and machine learning."
+
+2. **Second Conversation**: Ask what it remembers
+   - "What do you know about me?"
+   - "What programming languages do I like?"
+
+3. **Context Building**: Continue sharing preferences
+   - "I prefer VS Code over other editors"
+   - "I'm working on a React project"
+
+4. **Memory Verification**: Log in to the [Hindsight dashboard](https://hindsight.vectorize.io) to see stored memories
+
+## Configuration
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `LLM_PROVIDER` | `openai` | LLM provider: `openai` or `groq` |
+| `LLM_MODEL` | auto | Model override (defaults: `gpt-4o` / `qwen/qwen3-32b`) |
+| `OPENAI_API_KEY` | — | Required when using OpenAI |
+| `GROQ_API_KEY` | — | Required when using Groq |
+| `HINDSIGHT_API_URL` | `https://api.hindsight.vectorize.io` | Hindsight API endpoint |
+| `HINDSIGHT_API_KEY` | — | Your Hindsight API key |

hindsight-docs/src/pages/cookbook/applications/chat-memory.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 1
+sidebar_position: 2
 ---
 
 # Chat Memory App

hindsight-docs/src/pages/cookbook/applications/chat-sdk-multi-platform.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 2
+sidebar_position: 4
 ---
 
 # Chat SDK Multi-Platform Bot

hindsight-docs/src/pages/cookbook/applications/claims-iq.md

@@ -0,0 +1,81 @@
+---
+sidebar_position: 5
+---
+
+# ClaimsIQ — Insurance Claims Triage Agent Demo
+
+
+:::info Complete Application
+This is a complete, runnable application demonstrating Hindsight integration.
+[**View source on GitHub →**](https://github.com/vectorize-io/hindsight-cookbook/tree/main/applications/claims-iq)
+:::
+
+
+An AI agent that processes insurance claims through a multi-step workflow. The agent starts as a "confused rookie" and becomes a "seasoned expert" as [Hindsight](https://github.com/anthropics/hindsight) memories accumulate.
+
+Watch the agent learn coverage rules, adjuster assignments, and escalation patterns in real-time through a pipeline dashboard.
+
+## Quick Start
+
+### 1. Start Hindsight API (port 8888)
+
+```bash
+docker run -p 8888:8888 ghcr.io/anthropics/hindsight:latest
+```
+
+### 2. Start Backend (port 8000)
+
+```bash
+cd backend
+pip install -r requirements.txt
+./run.sh
+```
+
+### 3. Start Frontend (port 5173)
+
+```bash
+cd frontend
+npm install
+npm run dev
+```
+
+### 4. Open Browser
+
+Navigate to `http://localhost:5173`.
+
+## How It Works
+
+The agent processes insurance claims using 6 tools:
+
+1. **Classify** the claim category (auto, property, flood, etc.)
+2. **Look up** the policy details
+3. **Check coverage** rules for the policy type
+4. **Check fraud** indicators
+5. **Assign** the right adjuster
+6. **Submit** a decision for validation
+
+The system validates each decision against ground truth. If the agent makes a mistake (wrong adjuster, incorrect coverage call), the decision is rejected with feedback — creating learning signal for Hindsight.
+
+## Agent Modes
+
+| Mode | Description |
+|------|-------------|
+| **No Memory** | Baseline — agent starts fresh every claim |
+| **Recall** | Raw facts from past claims injected before processing |
+| **Reflect** | LLM-synthesized knowledge injected |
+| **Mental Models** | Full Hindsight mental models with auto-refresh |
+
+## Key Learning Challenges
+
+- **Water damage vs Flood**: Gold policies cover water damage (burst pipe) but NOT flood damage (rain/river). The agent must learn this subtle distinction.
+- **Adjuster routing**: 8 adjusters with different specialties and regions. The agent must learn who handles what.
+- **Escalation thresholds**: Claims over $50K need a senior adjuster; over $100K need manager review.
+- **Fraud detection**: Multiple indicators (near-limit claims, repeated address) route to the fraud specialist.
+
+## Environment Variables
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `LLM_MODEL` | `openai/gpt-4o` | LLM model for the agent |
+| `HINDSIGHT_API_URL` | `http://localhost:8888` | Hindsight API URL |
+| `BACKEND_PORT` | `8000` | Backend server port |

hindsight-docs/src/pages/cookbook/applications/crewai-memory.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 3
+sidebar_position: 6
 ---
 
 # CrewAI + Hindsight Memory

hindsight-docs/src/pages/cookbook/applications/deliveryman-demo.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 4
+sidebar_position: 7
 ---
 
 # Deliveryman Demo

hindsight-docs/src/pages/cookbook/applications/go-memory-service.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 5
+sidebar_position: 8
 ---
 
 # Go Memory-Augmented API

hindsight-docs/src/pages/cookbook/applications/hindsight-litellm-demo.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 6
+sidebar_position: 9
 ---
 
 # Memory Approaches Comparison Demo

hindsight-docs/src/pages/cookbook/applications/hindsight-tool-learning-demo.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 7
+sidebar_position: 10
 ---
 
 # Tool Learning Demo

hindsight-docs/src/pages/cookbook/applications/openai-fitness-coach.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 8
+sidebar_position: 11
 ---
 
 # OpenAI Agent + Hindsight Memory Integration

hindsight-docs/src/pages/cookbook/applications/pydantic-ai-memory.md

@@ -0,0 +1,236 @@
+---
+sidebar_position: 12
+---
+
+# Pydantic AI + Hindsight Memory
+
+
+:::info Complete Application
+This is a complete, runnable application demonstrating Hindsight integration.
+[**View source on GitHub →**](https://github.com/vectorize-io/hindsight-cookbook/tree/main/applications/pydantic-ai-memory)
+:::
+
+
+Give your Pydantic AI agents persistent long-term memory. Chat with an assistant multiple times and watch it remember what you told it in previous sessions.
+
+## What This Demonstrates
+
+- **Memory tools** — retain, recall, and reflect via `create_hindsight_tools()`
+- **Auto-injected context** — relevant memories in every run via `memory_instructions()`
+- **Persistent memory across sessions** — the agent remembers between script runs
+- **Interactive chat loop** with message history reuse
+
+## Architecture
+
+```
+Session 1:
+    You: "I'm a Python developer working on a FastAPI project"
+    │
+    ├─ memory_instructions() ──► recalls prior context (empty on first run)
+    ├─ Agent decides to call hindsight_retain ──► stores the fact
+    └─ Agent responds with acknowledgement
+
+Session 2:
+    You: "What do you know about me?"
+    │
+    ├─ memory_instructions() ──► injects "User is a Python developer..."
+    ├─ Agent calls hindsight_recall ──► finds stored facts
+    └─ Agent responds with everything it remembers
+```
+
+## Prerequisites
+
+1. **Hindsight running**
+
+   ```bash
+   export OPENAI_API_KEY=your-key
+
+   docker run --rm -it --pull always -p 8888:8888 -p 9999:9999 \
+     -e HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY \
+     -e HINDSIGHT_API_LLM_MODEL=o3-mini \
+     -v $HOME/.hindsight-docker:/home/hindsight/.pg0 \
+     ghcr.io/vectorize-io/hindsight:latest
+   ```
+
+2. **OpenAI API key** (for Pydantic AI's LLM)
+
+   ```bash
+   export OPENAI_API_KEY=your-key
+   ```
+
+3. **Install dependencies**
+
+   ```bash
+   cd applications/pydantic-ai-memory
+   pip install -r requirements.txt
+   ```
+
+## Quick Start
+
+### Interactive Chat
+
+```bash
+python personal_assistant.py
+```
+
+Example session:
+
+```
+Personal assistant ready (bank: personal-assistant)
+Type 'quit' or 'exit' to stop.
+
+You: I'm a Python developer and I love hiking on weekends
+Assistant: I've noted that! You're a Python developer who enjoys weekend hiking.
+
+You: What do you know about me?
+Assistant: From my memory, I know that you're a Python developer and you
+love hiking on weekends.
+
+You: quit
+```
+
+Run it again — the agent still remembers:
+
+```
+You: What are my hobbies?
+Assistant: Based on my memories, you enjoy hiking on weekends!
+```
+
+### Single Query
+
+```bash
+python personal_assistant.py "What do you remember about my preferences?"
+```
+
+### Reset Memory
+
+```bash
+python personal_assistant.py --reset
+```
+
+## How It Works
+
+### 1. Create a Hindsight Client
+
+```python
+from hindsight_client import Hindsight
+
+client = Hindsight(base_url="http://localhost:8888")
+```
+
+### 2. Create Memory Tools
+
+`create_hindsight_tools()` returns Pydantic AI `Tool` instances the agent can call:
+
+```python
+from hindsight_pydantic_ai import create_hindsight_tools
+
+tools = create_hindsight_tools(client=client, bank_id="personal-assistant")
+# Returns: [hindsight_retain, hindsight_recall, hindsight_reflect]
+```
+
+### 3. Add Memory Instructions
+
+`memory_instructions()` returns an async callable that auto-recalls relevant memories and injects them into the system prompt on every run:
+
+```python
+from hindsight_pydantic_ai import memory_instructions
+
+instructions_fn = memory_instructions(
+    client=client,
+    bank_id="personal-assistant",
+    query="important context about the user",
+    max_results=5,
+)
+```
+
+### 4. Wire Up the Agent
+
+```python
+from pydantic_ai import Agent
+
+agent = Agent(
+    "openai:gpt-4o-mini",
+    system_prompt="You are a helpful assistant with long-term memory...",
+    tools=tools,
+    instructions=[instructions_fn],
+)
+
+result = await agent.run("What do you know about me?")
+```
+
+## Core Files
+
+| File | Description |
+|------|-------------|
+| `personal_assistant.py` | Complete working example with interactive chat and single-query modes |
+| `requirements.txt` | Python dependencies |
+
+## Customization
+
+### Use Only Tools (No Auto-Injection)
+
+Let the agent decide when to search memory, rather than always injecting context:
+
+```python
+agent = Agent(
+    "openai:gpt-4o-mini",
+    tools=create_hindsight_tools(client=client, bank_id="my-bank"),
+)
+```
+
+### Use Only Instructions (No Tools)
+
+Auto-inject memories without giving the agent explicit retain/recall/reflect tools:
+
+```python
+agent = Agent(
+    "openai:gpt-4o-mini",
+    instructions=[memory_instructions(client=client, bank_id="my-bank")],
+)
+```
+
+### Select Specific Tools
+
+```python
+tools = create_hindsight_tools(
+    client=client,
+    bank_id="my-bank",
+    include_retain=True,
+    include_recall=True,
+    include_reflect=False,  # Omit reflect
+)
+```
+
+### Use a Different Model
+
+Any [Pydantic AI model](https://ai.pydantic.dev/models/) works:
+
+```python
+agent = Agent(
+    "anthropic:claude-sonnet-4-20250514",
+    tools=create_hindsight_tools(client=client, bank_id="my-bank"),
+)
+```
+
+## Common Issues
+
+**"Connection refused"**
+- Make sure Hindsight is running on `localhost:8888`
+
+**"OPENAI_API_KEY not set"**
+```bash
+export OPENAI_API_KEY=your-key
+```
+
+**"No module named 'hindsight_pydantic_ai'"**
+```bash
+pip install -r requirements.txt
+```
+
+---
+
+**Built with:**
+- [Pydantic AI](https://ai.pydantic.dev) - Type-safe AI agent framework
+- [hindsight-pydantic-ai](https://github.com/vectorize-io/hindsight/tree/main/hindsight-integrations/pydantic-ai) - Hindsight memory tools for Pydantic AI
+- [Hindsight](https://github.com/vectorize-io/hindsight) - Long-term memory for AI agents

hindsight-docs/src/pages/cookbook/applications/sanity-blog-memory.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 9
+sidebar_position: 13
 ---
 
 # Sanity CMS Blog Memory

hindsight-docs/src/pages/cookbook/applications/stancetracker.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 10
+sidebar_position: 14
 ---
 
 # Stance Tracker

hindsight-docs/src/pages/cookbook/applications/taste-ai.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 11
+sidebar_position: 15
 ---
 
 # Hindsight AI SDK - Personal Chef

hindsight-docs/src/pages/cookbook/index.mdx

@@ -101,11 +101,23 @@ import CookbookGrid from '@site/src/components/CookbookGrid';
 
 <CookbookGrid
   items={[
+    {
+      title: "CableConnect — AI Customer Service Copilot Demo",
+      href: "/cookbook/applications/cable-co",
+      description: "AI customer service copilot that learns from CSR feedback via Hindsight",
+      tags: { sdk: "hindsight-client", topic: "Customer Service" }
+    },
     {
       title: "Chat Memory App",
       href: "/cookbook/applications/chat-memory",
       description: "Real-time chat app with per-user memory using Groq and Hindsight",
-      tags: { sdk: "hindsight-client", topic: "Chat" }
+      tags: { sdk: "@vectorize-io/hindsight-client", topic: "Chat" }
+    },
+    {
+      title: "Chat Memory App (Hindsight Cloud)",
+      href: "/cookbook/applications/chat-memory-cloud",
+      description: "Real-time chat app with per-user memory powered by Hindsight Cloud",
+      tags: { sdk: "@vectorize-io/hindsight-client", topic: "Chat" }
     },
     {
       title: "Chat SDK Multi-Platform Bot",
@@ -113,23 +125,29 @@ import CookbookGrid from '@site/src/components/CookbookGrid';
       description: "Multi-platform chat bot with cross-platform memory using Vercel Chat SDK and Hindsight",
       tags: { sdk: "@vectorize-io/hindsight-chat", topic: "Recommendation" }
     },
+    {
+      title: "ClaimsIQ — Insurance Claims Triage Agent Demo",
+      href: "/cookbook/applications/claims-iq",
+      description: "Insurance claims triage agent that learns adjudication rules via Hindsight",
+      tags: { sdk: "hindsight-litellm", topic: "Agents" }
+    },
     {
       title: "CrewAI + Hindsight Memory",
       href: "/cookbook/applications/crewai-memory",
       description: "CrewAI agents with persistent long-term memory via Hindsight",
-      tags: { sdk: "Agents" }
+      tags: { sdk: "hindsight-crewai", topic: "Agents" }
     },
     {
       title: "Deliveryman Demo",
       href: "/cookbook/applications/deliveryman-demo",
       description: "Delivery agent simulation demonstrating learning through mental models",
-      tags: { sdk: "hindsight-client", topic: "Learning" }
+      tags: { sdk: "hindsight-litellm", topic: "Learning" }
     },
     {
       title: "Go Memory-Augmented API",
       href: "/cookbook/applications/go-memory-service",
       description: "Go HTTP microservice with per-user memory banks for a developer knowledge assistant",
-      tags: { sdk: "hindsight-go", topic: "Learning" }
+      tags: { sdk: "hindsight-client-go", topic: "Learning" }
     },
     {
       title: "Memory Approaches Comparison Demo",
@@ -147,19 +165,25 @@ import CookbookGrid from '@site/src/components/CookbookGrid';
       title: "OpenAI Agent + Hindsight Memory Integration",
       href: "/cookbook/applications/openai-fitness-coach",
       description: "Fitness coach using OpenAI Assistants with Hindsight as memory backend",
-      tags: { sdk: "hindsight-client", topic: "Recommendation" }
+      tags: { sdk: "hindsight-api", topic: "Recommendation" }
+    },
+    {
+      title: "Pydantic AI + Hindsight Memory",
+      href: "/cookbook/applications/pydantic-ai-memory",
+      description: "Pydantic AI agent with persistent long-term memory via Hindsight",
+      tags: { sdk: "hindsight-pydantic-ai", topic: "Agents" }
     },
     {
       title: "Sanity CMS Blog Memory",
       href: "/cookbook/applications/sanity-blog-memory",
       description: "Sync Sanity CMS blog posts to Hindsight for semantic search and AI insights",
-      tags: { sdk: "hindsight-client", topic: "Learning" }
+      tags: { sdk: "@vectorize-io/hindsight-client", topic: "Learning" }
     },
     {
       title: "Stance Tracker",
       href: "/cookbook/applications/stancetracker",
       description: "Track political candidates' stances over time with automated web scraping",
-      tags: { sdk: "hindsight-client", topic: "Recommendation" }
+      tags: { sdk: "@vectorize-io/hindsight-client", topic: "Recommendation" }
     },
     {
       title: "Hindsight AI SDK - Personal Chef",

scripts/dev/start-docs.sh

@@ -14,4 +14,4 @@ echo ""
 echo "Starting Docusaurus development server..."
 echo "Documentation will be available at: http://localhost:3000"
 echo ""
-npm run start -w hindsight-docs
+npm run start -w hindsight-docs -- --no-open