migrate fern

2025-09-09 09:31:59 -07:00
parent 0c5f5dadb8
commit 1881fcc89d
339 changed files with 50713 additions and 0 deletions
--- a/fern/assets/banner_blue_small.webp
+++ b/fern/assets/banner_blue_small.webp
--- a/fern/assets/banner_orange_small.webp
+++ b/fern/assets/banner_orange_small.webp
--- a/fern/assets/favicon.png
+++ b/fern/assets/favicon.png
--- a/fern/assets/fonts/fira-code/FiraCode-Medium.ttf
+++ b/fern/assets/fonts/fira-code/FiraCode-Medium.ttf
--- a/fern/assets/fonts/fira-code/FiraCode-Regular.ttf
+++ b/fern/assets/fonts/fira-code/FiraCode-Regular.ttf
--- a/fern/assets/fonts/manrope/Manrope-Medium.ttf
+++ b/fern/assets/fonts/manrope/Manrope-Medium.ttf
--- a/fern/assets/fonts/manrope/Manrope-Regular.ttf
+++ b/fern/assets/fonts/manrope/Manrope-Regular.ttf
--- a/fern/assets/fonts/roobert/RoobertMedium.woff2
+++ b/fern/assets/fonts/roobert/RoobertMedium.woff2
--- a/fern/assets/leaderboard.css
+++ b/fern/assets/leaderboard.css
@@ -0,0 +1,145 @@
+/* ────────────────────────────────────────────────────────────────
+   assets/leaderboard.css    (namespaced so it never leaks styles)
+   ──────────────────────────────────────────────────────────────── */
+
+/* hide rows that don’t match search */
+#letta-leaderboard tr.hidden { display: none !important; }
+
+/* clickable, sortable headers */
+#letta-leaderboard thead th[data-key] {
+  cursor: pointer;
+  user-select: none;
+  position: relative;
+}
+#letta-leaderboard thead th.asc::after,
+#letta-leaderboard thead th.desc::after {
+  position: absolute;
+  right: 6px;
+  top: 50%;
+  transform: translateY(-50%);
+  font-size: 10px;
+  line-height: 1;
+}
+#letta-leaderboard thead th.asc::after  { content: "▲"; }
+#letta-leaderboard thead th.desc::after { content: "▼"; }
+
+/* bar-chart cells */
+#letta-leaderboard .bar-cell {
+  position: relative;
+  padding: 8px;
+  overflow: hidden;
+}
+#letta-leaderboard .bar-viz {
+  position: absolute;
+  left: 0;
+  top: 50%;
+  transform: translateY(-50%);
+  height: 36px;
+  z-index: 1;
+  max-width: 100%;
+  border-radius: 0;
+}
+#letta-leaderboard .bar-cell span.value {
+  position: absolute;
+  left: 5px;
+  top: 50%;
+  transform: translateY(-50%);
+  background: rgba(255, 255, 255, 0.7);
+  padding: 0 4px;
+  font-size: 14px;
+  z-index: 2;
+  border-radius: 0;
+}
+#letta-leaderboard .bar-cell span.warn {
+  position: absolute;
+  right: 5px;
+  top: 50%;
+  transform: translateY(-50%);
+  font-size: 15px;
+  line-height: 1;
+  color: #dc3545;
+  cursor: help;
+  z-index: 2;
+}
+
+/* bar colours */
+#letta-leaderboard .avg .bar-viz       { background: rgba(40, 167, 69, 0.35); }  /* green  */
+#letta-leaderboard .cost-ok .bar-viz   { background: rgba(255, 193, 7, 0.35); }  /* amber  */
+#letta-leaderboard .cost-high .bar-viz { background: rgba(220, 53, 69, 0.35); }  /* red    */
+
+/* faint ruler + right border */
+#letta-leaderboard .bar-cell::before {
+  content: "";
+  position: absolute;
+  top: 50%;
+  left: 0;
+  width: 100%;
+  height: 8px;
+  transform: translateY(-50%);
+  pointer-events: none;
+  background: repeating-linear-gradient(
+    90deg,
+    rgba(170, 170, 170, 0.5) 0 1px,
+    transparent 1px 25%
+  );
+}
+#letta-leaderboard .bar-cell::after {
+  content: "";
+  position: absolute;
+  top: 50%;
+  right: 0;
+  width: 1px;
+  height: 8px;
+  background: rgba(170, 170, 170, 0.5);
+  transform: translateY(-50%);
+  pointer-events: none;
+}
+
+/* table layout tweaks */
+#letta-leaderboard tbody tr { height: 50px; }
+#letta-leaderboard .metric  { width: 32%; }
+#letta-leaderboard table    { table-layout: fixed; }
+
+/* search box */
+#letta-leaderboard #lb-search,
+#letta-leaderboard #lb-search:focus {
+  border-radius: 0 !important;
+  outline: none;
+}
+
+/* ───────────────────────────────
+   Dark-mode overrides
+   (everything else inherits)
+   ───────────────────────────────*/
+   :is(.dark) #letta-leaderboard {
+
+    /* 1. Bar-fill colours — a hair brighter & less transparent */
+    .avg       .bar-viz { background: rgba(56, 189, 98 , .55); }   /* green  */
+    .cost-ok   .bar-viz { background: rgba(255, 213, 90 , .55); }  /* amber  */
+    .cost-high .bar-viz { background: rgba(255, 99 ,132 , .55); }  /* red    */
+
+    /* 2. Ruler + right-edge -- subtle light lines instead of grey */
+    .bar-cell::before {
+      background: repeating-linear-gradient(
+        90deg,
+        rgba(255,255,255,.12) 0 1px,
+        transparent 1px 25%
+      );
+    }
+    .bar-cell::after  { background: rgba(255,255,255,.12); }
+
+    /* 3. Value pill – dark background so it doesn’t glow */
+    .bar-cell span.value {
+      background: rgba(0,0,0,.65);
+      color: #fff;
+    }
+
+    /* 4. Header text & sort glyphs – lighten slightly */
+    thead th        { color:#e2e2e2; }
+    thead th::after { color:#e2e2e2; }
+  }
+
+  /* 5. Header row background */
+:is(.dark) #letta-leaderboard thead {
+    background:#1a1a1a !important;   /* pick any dark tone */
+  }
--- a/fern/assets/leaderboard.js
+++ b/fern/assets/leaderboard.js
@@ -0,0 +1,153 @@
+/* ──────────────────────────────────────────────────────────
+   assets/leaderboard.js
+   Load via docs.yml → js:  - path: assets/leaderboard.js
+   (strategy: lazyOnload is fine)
+   ────────────────────────────────────────────────────────── */
+
+import yaml from 'https://cdn.jsdelivr.net/npm/js-yaml@4.1.0/+esm';
+
+console.log('🏁 leaderboard.js loaded on', location.pathname);
+
+const COST_CAP = 20;
+
+/* ---------- helpers ---------- */
+const pct = (v) => Number(v).toPrecision(3) + '%';
+const cost = (v) => '$' + Number(v).toFixed(2);
+const ready = (cb) =>
+  document.readyState === 'loading'
+    ? document.addEventListener('DOMContentLoaded', cb)
+    : cb();
+
+/* ---------- main ---------- */
+ready(async () => {
+  //   const host = document.getElementById('letta-leaderboard');
+  //   if (!host) {
+  //     console.warn('LB-script: #letta-leaderboard not found - bailing out.');
+  //     return;
+  //   }
+  /* ---- wait for the leaderboard container to appear (SPA nav safe) ---- */
+  const host = await new Promise((resolve, reject) => {
+    const el = document.getElementById('letta-leaderboard');
+    if (el) return resolve(el); // SSR / hard refresh path
+
+    const obs = new MutationObserver(() => {
+      const found = document.getElementById('letta-leaderboard');
+      if (found) {
+        obs.disconnect();
+        resolve(found); // CSR navigation path
+      }
+    });
+    obs.observe(document.body, { childList: true, subtree: true });
+
+    setTimeout(() => {
+      obs.disconnect();
+      reject(new Error('#letta-leaderboard never appeared'));
+    }, 5000); // safety timeout
+  }).catch((err) => {
+    console.warn('LB-script:', err.message);
+    return null;
+  });
+  if (!host) return; // still no luck → give up
+
+  /* ----- figure out URL of data.yaml ----- */
+  //  const path  = location.pathname.endsWith('/')
+  //    ? location.pathname
+  //    : location.pathname.replace(/[^/]*$/, '');          // strip file/slug
+  //  const dataUrl = `${location.origin}${path}data.yaml`;
+  //  const dataUrl = `${location.origin}/leaderboard/data.yaml`;   // one-liner, always right
+  //  const dataUrl = `${location.origin}/assets/leaderboard.yaml`;
+  //  const dataUrl = `./assets/leaderboard.yaml`;   // one-liner, always right
+  //   const dataUrl = `${location.origin}/data.yaml`; // one-liner, always right
+  //   const dataUrl = 'https://raw.githubusercontent.com/letta-ai/letta-leaderboard/main/data/letta_memory_leaderboard.yaml';
+  const dataUrl =
+    'https://cdn.jsdelivr.net/gh/letta-ai/letta-leaderboard@latest/data/letta_memory_leaderboard.yaml';
+
+  console.log('LB-script: fetching', dataUrl);
+
+  /* ----- fetch & parse YAML ----- */
+  let rows;
+  try {
+    const resp = await fetch(dataUrl);
+    console.log(`LB-script: status ${resp.status}`);
+    if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
+    rows = yaml.load(await resp.text());
+  } catch (err) {
+    console.error('LB-script: failed to load YAML →', err);
+    return;
+  }
+
+  /* ----- wire up table ----- */
+  const dir = Object.create(null);
+  const tbody = document.getElementById('lb-body');
+  const searchI = document.getElementById('lb-search');
+  const headers = document.querySelectorAll('#lb-table thead th[data-key]');
+  searchI.value = ''; // clear any persisted filter
+
+  const render = () => {
+    const q = searchI.value.toLowerCase();
+    tbody.innerHTML = rows
+      .map((r) => {
+        const over = r.total_cost > COST_CAP;
+        const barW = over ? '100%' : (r.total_cost / COST_CAP) * 100 + '%';
+        const costCls = over ? 'cost-high' : 'cost-ok';
+        const warnIcon = over
+          ? `<span class="warn" title="Cost exceeds $${COST_CAP} cap - bar is clipped to full width">⚠</span>`
+          : '';
+
+        return `
+           <tr class="${q && !r.model.toLowerCase().includes(q) ? 'hidden' : ''}">
+             <td style="padding:8px">${r.model}</td>
+
+             <td class="bar-cell avg metric">
+               <div class="bar-viz" style="width:${r.average}%"></div>
+               <span class="value">${pct(r.average)}</span>
+             </td>
+
+             <td class="bar-cell ${costCls} metric">
+               <div class="bar-viz" style="width:${barW}"></div>
+               <span class="value">${cost(r.total_cost)}</span>
+               ${warnIcon}
+             </td>
+           </tr>`;
+      })
+      .join('');
+  };
+
+  const setIndicator = (activeKey) => {
+    headers.forEach((h) => {
+      h.classList.remove('asc', 'desc');
+      if (h.dataset.key === activeKey) h.classList.add(dir[activeKey]);
+    });
+  };
+
+  /* initial sort ↓ */
+  dir.average = 'desc';
+  rows.sort((a, b) => b.average - a.average);
+  setIndicator('average');
+  render();
+
+  /* search */
+  searchI.addEventListener('input', render);
+
+  /* column sorting */
+  headers.forEach((th) => {
+    const key = th.dataset.key;
+    th.addEventListener('click', () => {
+      const asc = dir[key] === 'desc';
+      dir[key] = asc ? 'asc' : 'desc';
+
+      rows.sort((a, b) => {
+        const va = a[key],
+          vb = b[key];
+        const cmp =
+          typeof va === 'number'
+            ? va - vb
+            : String(va).localeCompare(String(vb));
+        return asc ? cmp : -cmp;
+      });
+
+      setIndicator(key);
+      render();
+    });
+  });
+});
--- a/fern/assets/logo-dark.svg
+++ b/fern/assets/logo-dark.svg
@@ -0,0 +1,16 @@
+<svg width="75" height="22" viewBox="0 0 75 22" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g clip-path="url(#clip0_80_2)">
+<path d="M13.2017 8.80036H8.80133V13.2002H13.2017V8.80036Z" fill="white"/>
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+</g>
+<defs>
+<clipPath id="clip0_80_2">
+<rect width="75" height="22" fill="white"/>
+</clipPath>
+</defs>
+</svg>
--- a/fern/assets/logo-light.svg
+++ b/fern/assets/logo-light.svg
@@ -0,0 +1,9 @@
+<svg aria-hidden="true" fill="none" height="100%" preserveaspectratio="xMidYMid meet" role="img" viewBox="0 0 75 22" width="100%" xmlns="http://www.w3.org/2000/svg">
+<path d="M13.2017 8.80036H8.80133V13.2002H13.2017V8.80036Z" fill="currentColor"></path>
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+</svg>
--- a/fern/assets/styles.css
+++ b/fern/assets/styles.css
@@ -0,0 +1,307 @@
+/* .fern-header-container * {
+  font-weight: 600;
+} */
+
+/* Remove rounded corners across the docs site */
+:root {
+  --radius: 0px;
+}
+
+/* Override styles related to soft borders */
+.fern-button {
+  border-radius: 0 !important;
+}
+.fern-collapsible-card {
+  border-radius: 0 !important;
+}
+.fern-api-property-meta code {
+  border-radius: 0 !important;
+}
+.fern-docs-badge {
+  border-radius: 0 !important;
+}
+.bg-accent-highlight {
+  border-radius: 0 !important;
+}
+.fern-scroll-area {
+  border-radius: 0 !important;
+}
+.fern-dropdown-item {
+  border-radius: 0 !important;
+}
+.fern-anchor-icon {
+  border-radius: 0 !important;
+}
+.fern-search-bar {
+  border-radius: 0 !important;
+}
+.keyboard-shortcut-hint {
+  border-radius: 0 !important;
+}
+.fern-search-button {
+  border-radius: 0 !important;
+}
+code:not(.code-block) {
+  border-radius: 0 !important;
+}
+.fern-accordion {
+  border-radius: 0 !important;
+}
+.fern-table-root,
+.fern-table,
+.fern-table thead,
+.fern-table tbody,
+.fern-table tr,
+.fern-table th,
+.fern-table td {
+  border-radius: 0 !important;
+}
+/* [data-radix-scroll-area-viewport] {
+  border-radius: 0 !important;
+}
+[data-radix-popper-content-wrapper] {
+  border-radius: 0 !important;
+} */
+[data-radix-popper-content-wrapper],
+[data-radix-popper-content-wrapper] > * {
+  border-radius: 0 !important;
+}
+
+.rounded-xl,
+.rounded-lg,
+.rounded-md,
+.rounded-sm,
+.fern-sidebar-link {
+  border-radius: 0px !important;
+}
+
+:is(.light) .code-block-line-content span[style*="color: rgb(194, 195, 197);"] {
+  color: #8e8e8e !important;
+}
+
+/* Different opacity for active items in the sidebar */
+
+/* Light mode */
+:is(.light) .fern-sidebar-link-container[data-state="active"] .fern-sidebar-link {
+  background-color: rgba(7, 7, 172, 0.04);
+}
+
+:is(.light) body#fern-docs  .fern-sidebar-link[data-state="active"] {
+  background-color: rgba(7, 7, 172, 0.04);
+}
+
+:is(.light) .fern-sidebar-link-container[data-state="active"] .fern-sidebar-link-text {
+  color: #0707ac;
+}
+
+:is(.light) body#fern-docs  .fern-sidebar-link[data-state="active"] span {
+  color: #0707ac;
+}
+
+/* Dark mode */
+:is(.dark) .fern-sidebar-link-container[data-state="active"] .fern-sidebar-link {
+  background-color: rgba(255, 187, 173, 0.08);  /* #FFBBAD */
+}
+
+:is(.dark) body#fern-docs  .fern-sidebar-link[data-state="active"] {
+  background-color: rgba(255, 187, 173, 0.08);  /* #FFBBAD */
+}
+
+:is(.dark) .fern-sidebar-link-container[data-state="active"] .fern-sidebar-link-text {
+  color: #FF5533;
+}
+
+:is(.dark) body#fern-docs  .fern-sidebar-link[data-state="active"] span {
+  color: #FF5533;
+}
+
+/* Make uppercase sidebar heading */
+.fern-sidebar-heading .fern-sidebar-heading-content,
+.fern-breadcrumb-item {
+	/* font-family: var(--typography-code-font-family); */
+	font-weight: 600;
+	/* letter-spacing: 0.05em; */
+	text-transform: uppercase;
+	/* color: var(--gray-12); */
+	font-size: 0.8rem;
+	/* text-decoration: none; */
+}
+
+/* .fern-theme-default.fern-container .fern-header-tabs .fern-header-tab-button .fern-header-container * {
+  font-size: 1rem;
+} */
+
+.t-muted.whitespace-nowrap.text-xs,
+.inline-flex.items-baseline.gap-1 {
+  display: none !important;
+}
+
+/* @supports (overscroll-behavior: none) {
+  html, body {
+    overscroll-behavior: none;
+  }
+} */
+
+/* dark/light mode toggle for images */
+:is(.dark) img.dark {
+  display: block;
+}
+
+:is(.dark) img.light {
+  display: none;
+}
+
+:is(.light) img.light {
+  display: block;
+}
+
+:is(.light) img.dark {
+  display: none;
+}
+
+/* Landing page styles */
+.landing-page {
+  margin-inline: auto;
+  min-width: calc(var(--spacing) * 0);
+  padding-inline: var(--page-padding);
+  max-width: calc(var(--spacing-page-width) + var(--spacing-page-padding)*2);
+
+  .letta-header {
+    padding-top: 7rem !important;
+    padding-bottom: 7rem !important;
+    position: relative !important;
+  }
+
+  .letta-header-bg {
+    background-color: #f6f6f6 !important;
+    width: 100vw;
+    position: absolute;
+    top: 0%;
+    bottom: 0%;
+    left: 50%;
+    transform: translate(-50%);
+    z-index: -1;
+  }
+
+  .hero-image-container {
+    width: var(--page-width);
+    position: relative;
+  }
+
+  .hero-image {
+    position: absolute !important;
+    right: 0 !important;
+    top: 50% !important;
+    transform: translateY(-50%) !important;
+    height: 100% !important;
+    max-height: 400px !important;
+    z-index: 0 !important;
+    opacity: 0.5 !important;
+    width: fit-content;
+    pointer-events: none !important;
+  }
+
+  .hero-image.dark {
+    display: none !important;
+  }
+
+
+
+  .letta-header h1 {
+    font-size: 4.0rem !important;
+    line-height: 1.1 !important;
+    font-weight: 300 !important;
+    font-family: Roobert, sans-serif !important;  /* Use regular Roobert instead of Medium */
+  }
+
+  .letta-header p {
+    font-size: 1.25rem !important;
+    line-height: 1.3 !important;
+    font-weight: 400 !important;
+  }
+
+  .letta-header a {
+    border-bottom: 1px solid rgba(255,255,255,0.5) !important;
+    font-size: 0.5rem !important;
+    font-weight: normal !important;
+  }
+
+  .letta-header a:hover {
+    border-bottom-color: white !important;
+  }
+
+  .fern-main .landingbody {
+    max-width: 1195px !important;
+    margin-left: auto !important;
+    margin-right: auto !important;
+  }
+
+  #fern-sidebar {
+    display: none !important;
+  }
+
+  @media (max-width: 1504px) {
+    .hero-image-container {
+      width: 100vw !important;
+    }
+  }
+
+  /* Tablet viewport breakpoint */
+  @media (max-width: 1024px) {
+    .letta-header {
+      padding-top: 4rem !important;
+      padding-bottom: 4rem !important;
+    }
+
+    .letta-header h1 {
+      font-size: 3rem !important;
+    }
+
+    .letta-header p {
+      font-size: 1.1rem !important;
+    }
+
+    .hero-image-container {
+      display: none !important;
+    }
+  }
+
+  /* Mobile viewport breakpoint */
+  @media (max-width: 640px) {
+    .letta-header {
+      padding-top: 3rem !important;
+      padding-bottom: 3rem !important;
+    }
+
+    .letta-header h1 {
+      font-size: 2.5rem !important;
+    }
+
+    .letta-header p {
+      font-size: 1rem !important;
+    }
+
+    .letta-header .max-w-4xl {
+      padding-left: 1rem !important;
+      padding-right: 1rem !important;
+    }
+
+    .landingbody {
+      padding-left: 1rem !important;
+      padding-right: 1rem !important;
+    }
+  }
+}
+
+:is(.dark) .landing-page .letta-header-bg {
+  background-color: #151515 !important;
+}
+
+
+:is(.dark) .landing-page.hero-image.light {
+  display: none !important;
+}
+
+:is(.dark) .landing-page .hero-image.dark {
+  display: block !important;
+}
--- a/fern/changelog/2025-01-28.mdx
+++ b/fern/changelog/2025-01-28.mdx
@@ -0,0 +1,72 @@
+## Consistency Across Messages APIs
+
+<Note> These are the final changes from our API overhaul, which means they are not backwards compatible to prior versions of our APIs and SDKs. Upgrading may require changes to your code. </Note>
+
+### Flattened `UserMessage` content
+
+The content field on `UserMessage` objects returned by our Messages endpoints have been simplified to flat strings containing raw message text, rather than JSON strings with message text nested inside.
+
+#### Before:
+```python
+  {
+    "id": "message-dea2ceab-0863-44ea-86dc-70cf02c05946",
+    "date": "2025-01-28T01:18:18+00:00",
+    "message_type": "user_message",
+    "content": "{\n  \"type\": \"user_message\",\n  \"message\": \"Hello, how are you?\",\n  \"time\": \"2025-01-28 01:18:18 AM UTC+0000\"\n}"
+  }
+```
+
+#### After:
+```python
+  {
+    "id": "message-dea2ceab-0863-44ea-86dc-70cf02c05946",
+    "date": "2025-01-28T01:18:18+00:00",
+    "message_type": "user_message",
+    "content": "Hello, how are you?"
+  }
+```
+
+### Top-level `use_assistant_message` parameter defaults to True
+
+All message related APIs now include a top-level `use_assistant_message` parameter, which defaults to `True` if not specified. This parameter controls whether the endpoint should parse specific tool call arguments (default `send_message`) as AssistantMessage objects rather than ToolCallMessage objects.
+
+#### Before:
+```python
+response = client.agents.messages.create(
+    agent_id=agent.id,
+    messages=[
+        MessageCreate(
+            role="user",
+            content="call the big_return function",
+        ),
+    ],
+    config=LettaRequestConfig(use_assistant_message=False),
+)
+```
+
+#### After:
+```python
+response = client.agents.messages.create(
+    agent_id=agent.id,
+    messages=[
+        MessageCreate(
+            role="user",
+            content="call the big_return function",
+        ),
+    ],
+    use_assistant_message=False,
+)
+```
+
+Previously, the `List Messages` endpoint defaulted to False internally, so this change may cause unexpected behavior in your code. To fix this, you can set the `use_assistant_message` parameter to `False` in your request.
+
+```python
+messages = client.agents.messages.list(
+    limit=10,
+    use_assistant_message=False,
+)
+```
+
+### Consistent message return type
+
+All message related APIs return `LettaMessage` objects now, which are simplified versions of `Message` objects stored in the database backend. Previously, our `List Messages` endpoint returned `Message` objects by default, which is no longer an option.
--- a/fern/changelog/2025-01-31.mdx
+++ b/fern/changelog/2025-01-31.mdx
@@ -0,0 +1,22 @@
+### Tool rules improvements
+
+ToolRule objects no longer should specify a `type` at instantiation, as this field is now immutable.
+
+#### Before:
+```python
+  rule = InitToolRule(
+    tool_name="secret_message",
+    type="run_first"
+)
+```
+
+#### After:
+```python
+  rule = InitToolRule(tool_name="secret_message")
+```
+
+Letta also now supports smarter retry behavior for tool rules in the case of unrecoverable failures.
+
+### New API routes to query agent steps
+
+The [`List Steps`](https://docs.letta.com/api-reference/steps/list-steps) and [`Retrieve Step`](https://docs.letta.com/api-reference/steps/retrieve-step) routes have been added to enable querying for additional metadata around agent execution.
--- a/fern/changelog/2025-02-05.mdx
+++ b/fern/changelog/2025-02-05.mdx
@@ -0,0 +1,42 @@
+### Query tools by name
+
+The `List Tools` API now supports querying by tool name.
+
+```python
+send_message_tool_id = client.agents.tools.list(tool_name="secret_message")[0].id
+```
+
+### Authorization header now supports password
+
+For self-deployed instances of Letta that are password-protected, the `Authorization` header now supports parsing passwords in addition to API keys. `X-BARE-PASSWORD` will still be supported as legacy, but will be deprecated in a future release.
+
+#### Before:
+```sh
+curl --request POST \
+  --url https://MYSERVER.up.railway.app/v1/agents/ \
+  --header 'X-BARE-PASSWORD: password banana' \
+  --header 'Content-Type: application/json' \
+  --data '{
+    ...
+  }'
+```
+
+#### After:
+```sh
+curl --request POST \
+  --url https://MYSERVER.up.railway.app/v1/agents/ \
+  --header 'AUTHORIZATION: Bearer banana' \
+  --header 'Content-Type: application/json' \
+  --data '{
+    ...
+  }'
+```
+
+Password can now be passed via the `token` field when initializing the Letta client:
+
+```python
+client = LettaClient(
+    base_url="https://MYSERVER.up.railway.app",
+    token="banana",
+)
+```
--- a/fern/changelog/2025-02-06.mdx
+++ b/fern/changelog/2025-02-06.mdx
@@ -0,0 +1,11 @@
+## Agents API Improvements
+
+<Note> These APIs are only available for Letta Cloud. </Note>
+
+### Agent Search
+
+The [`/v1/agents/search`](https://docs.letta.com/api-reference/agents/search) API has been updated to support pagination via `after` query parameter
+
+### Agent Creation from Template
+
+The [`/v1/templates/`](https://docs.letta.com/api-reference/templates/createagentsfromtemplate) creation API has been updated to support adding `tags` at creation time
--- a/fern/changelog/2025-02-10.mdx
+++ b/fern/changelog/2025-02-10.mdx
@@ -0,0 +1,3 @@
+## Temperature and Max Tokens Supported via LLM Config
+
+These values are now configurable when creating and modifying agents via [`llm_config`](https://docs.letta.com/api-reference/agents/modify#request.body.llm_config) parameter for subsequent LLM requests.
--- a/fern/changelog/2025-02-12.mdx
+++ b/fern/changelog/2025-02-12.mdx
@@ -0,0 +1,9 @@
+## New Features
+
+### Google Vertex support
+
+Google Vertex is now a supported endpoint type for Letta agents.
+
+### Option to disable message persistence for a given agent
+
+Letta agents now have an optional `message_buffer_autoclear` flag. If set to True (default False), the message history will not be persisted in-context between requests (though the agent will still have access to core, archival, and recall memory).
--- a/fern/changelog/2025-02-19.mdx
+++ b/fern/changelog/2025-02-19.mdx
@@ -0,0 +1,113 @@
+## Project Slug Moved to Request Header
+
+<Note> Projects are only available for Letta Cloud. </Note>
+
+Project slug can now be specified via request header `X-Project` for agent creation. The existing `project` parameter will soon be deprecated.
+
+#### Before
+<CodeBlocks>
+```curl title="curl"
+curl -X POST https://app.letta.com/v1/agents \
+  -H 'Content-Type: application/json' \
+  -H 'Authorization: Bearer YOUR_API_KEY' \
+  -d '{
+    "project":"YOUR_PROJECT_SLUG"
+    "model":"gpt-4o-mini",
+    "embedding":"openai/text-embedding-3-small"
+    "memory_blocks": [
+      {
+        "label": "human",
+        "value": "name: Caren"
+      }
+    ],
+  }'
+```
+```python title="python"
+from letta_client import CreateBlock, Letta
+client = Letta(
+  token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+  project="YOUR_PROJECT_SLUG",
+  model="gpt-4o-mini",
+  embedding="openai/text-embedding-3-small"
+  memory_blocks=[
+    CreateBlock(
+      "label": "human",
+      "value": "name: Caren"
+    ),
+  ],
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  project: "YOUR_PROJECT_SLUG",
+  model: "gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small"
+  memory_blocks: [
+    {
+      label: "human",
+      value: "name: Caren"
+    },
+  ],
+});
+```
+</CodeBlocks>
+
+#### After
+<CodeBlocks>
+```curl title="curl"
+curl -X POST https://app.letta.com/v1/agents \
+  -H 'Content-Type: application/json' \
+  -H 'Authorization: Bearer YOUR_API_KEY' \
+  -H 'X-Project: YOUR_PROJECT_SLUG' \
+  -d '{
+    "model":"gpt-4o-mini",
+    "embedding":"openai/text-embedding-3-small"
+    "memory_blocks": [
+      {
+        "label": "human",
+        "value": "name: Caren"
+      }
+    ],
+  }'
+```
+```python title="python"
+from letta_client import CreateBlock, Letta
+client = Letta(
+  token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+  x_project="YOUR_PROJECT_SLUG",
+  model="gpt-4o-mini",
+  embedding="openai/text-embedding-3-small"
+  memory_blocks=[
+    CreateBlock(
+      "label": "human",
+      "value": "name: Caren"
+    ),
+  ],
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  x_project: "YOUR_PROJECT_SLUG",
+  model: "gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small"
+  memory_blocks: [
+    {
+      label: "human",
+      value: "name: Caren"
+    },
+  ],
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-02-21.mdx
+++ b/fern/changelog/2025-02-21.mdx
@@ -0,0 +1,7 @@
+## New Identities Feature
+
+We've added a new Identities feature that helps you manage users in your multi-user Letta application. Each Identity can represent a user or organization in your system and store their metadata.
+
+You can associate an Identity with one or more agents, making it easy to track which agents belong to which users. Agents can also be associated with multiple identities, enabling shared access across different users. This release includes full CRUD (Create, Read, Update, Delete) operations for managing Identities through our API.
+
+For more information on usage, visit our [Identities documentation](/api-reference/identities) and [usage guide](/guides/agents/multi-user).
--- a/fern/changelog/2025-02-23.mdx
+++ b/fern/changelog/2025-02-23.mdx
@@ -0,0 +1,85 @@
+## Core Memory and Archival Memory SDK APIs Renamed to Blocks and Passages
+
+<Note> This is a breaking SDK change and is not backwards compatible. </Note>
+
+Given the confusion around our advanced functionality for managing memory, we've renamed the Core Memory SDK API to `blocks` and the Archival Memory SDK API to `passages` so that our API naming reflects the unit of memory stored. This change only affects our SDK, and does not affect Letta's Rest API.
+
+#### Before
+<CodeBlocks>
+```python title="python"
+from letta_client import CreateBlock, Letta
+client = Letta(
+  token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+  model="gpt-4o-mini",
+  embedding="openai/text-embedding-3-small"
+  memory_blocks=[
+    CreateBlock(
+      "label": "human",
+      "value": "name: Caren"
+    ),
+  ],
+)
+blocks = client.agents.core_memory.list_blocks(agent_id=agent.id)
+client.agents.core_memory.detach_block(agent_id=agent.id, block_id=blocks[0].id)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  model: "gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small"
+  memory_blocks: [
+    {
+      label: "human",
+      value: "name: Caren"
+    },
+  ],
+});
+const blocks = await client.agents.coreMemory.listBlocks(agent.id);
+await client.agents.coreMemory.detachBlock(agent.id, blocks[0].id);
+```
+</CodeBlocks>
+
+#### After
+<CodeBlocks>
+```python title="python"
+from letta_client import CreateBlock, Letta
+client = Letta(
+  token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+  model="gpt-4o-mini",
+  embedding="openai/text-embedding-3-small"
+  memory_blocks=[
+    CreateBlock(
+      "label": "human",
+      "value": "name: Caren"
+    ),
+  ],
+)
+blocks = client.agents.blocks.list(agent_id=agent.id)
+client.agents.blocks.detach(agent_id=agent.id, block_id=blocks[0].id)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  model: "gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small"
+  memory_blocks: [
+    {
+      label: "human",
+      value: "name: Caren"
+    },
+  ],
+});
+const blocks = client.agents.blocks.list(agent.id)
+await client.agents.blocks.detach(agent.id, blocks[0].id)
+```
+</CodeBlocks>
--- a/fern/changelog/2025-02-26.mdx
+++ b/fern/changelog/2025-02-26.mdx
@@ -0,0 +1,3 @@
+## xAI / Grok Now Supported
+
+We've added xAI support in the latest SDK version. To enable xAI models, set your `XAI_API_KEY` as an environment variable: `export XAI_API_KEY="..."`.
--- a/fern/changelog/2025-02-27.mdx
+++ b/fern/changelog/2025-02-27.mdx
@@ -0,0 +1,28 @@
+## Added Modify Passage API
+
+We've introduced a new API endpoint that allows you to modify existing passages within agent memory.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+client.agents.modify_passage(
+    agent_id="AGENT_ID",
+    memory_id="MEMORY_ID",
+    text="Updated passage content"
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.modifyPassage({
+  agent_id: "AGENT_ID",
+  memory_id: "MEMORY_ID",
+  text: "Updated passage content"
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-01.mdx
+++ b/fern/changelog/2025-03-01.mdx
@@ -0,0 +1,77 @@
+## Enhanced Tool Definitions with Complex Schemas
+
+### Complex Schema Support for Tool Arguments
+
+You can now use complex Pydantic schemas to define arguments for tools, enabling better type safety and validation for your tool inputs.
+
+```python
+from pydantic import BaseModel
+from typing import List, Optional
+
+class ItemData(BaseModel):
+   name: str
+   sku: str
+   price: float
+   description: Optional[str] = None
+
+class InventoryEntry(BaseModel):
+   item: ItemData
+   location: str
+   current_stock: int
+   minimum_stock: int = 5
+
+class InventoryEntryData(BaseModel):
+   data: InventoryEntry
+   quantity_change: int
+```
+
+## Tool Creation from Function with Complex Schema
+
+Use the args_schema parameter to specify a Pydantic model for tool arguments when creating tools from functions.
+
+```python
+from letta_client import Letta
+
+client = Letta(
+    token="YOUR_API_KEY",
+)
+
+def manage_inventory_mock(data: InventoryEntry, quantity_change: int) -> bool:
+    """
+    Implementation of the manage_inventory tool
+    """
+    print(f"Updated inventory for {data.item.name} with a quantity change of {quantity_change}")
+    return True
+
+tool_from_func = client.tools.upsert_from_function(
+    func=manage_inventory_mock,
+    args_schema=InventoryEntryData,
+)
+```
+### BaseTool Class Extension
+
+For more complex tool implementations, you can also extend the `BaseTool` class to create custom tools with full control over the implementation.
+
+```python
+from letta_client import BaseTool
+from typing import Type, List
+from pydantic import BaseModel
+
+class ManageInventoryTool(BaseTool):
+    name: str = "manage_inventory"
+    args_schema: Type[BaseModel] = InventoryEntryData
+    description: str = "Update inventory catalogue with a new data entry"
+    tags: List[str] = ["inventory", "shop"]
+
+    def run(self, data: InventoryEntry, quantity_change: int) -> bool:
+        """
+        Implementation of the manage_inventory tool
+        """
+        # implementation
+        print(f"Updated inventory for {data.item.name} with a quantity change of {quantity_change}")
+        return True
+
+custom_tool = client.tools.add(
+    tool=ManageInventoryTool(),
+)
+```
--- a/fern/changelog/2025-03-02.mdx
+++ b/fern/changelog/2025-03-02.mdx
@@ -0,0 +1,29 @@
+## Added List Run Steps API
+
+We've introduced a new API endpoint that allows you to list all steps associated with a specific run. This feature makes it easier to track and analyze the sequence of steps performed during a run.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+steps = client.runs.list_run_steps(
+    run_id="RUN_ID",
+)
+for step in steps:
+    print(f"Step ID: {step.id}, Tokens: {step.total_tokens}")
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const steps = await client.runs.listRunSteps({
+  run_id: "RUN_ID",
+});
+steps.forEach(step => {
+  console.log(`Step ID: ${step.id}, Tokens: ${step.total_tokens}`);
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-05.mdx
+++ b/fern/changelog/2025-03-05.mdx
@@ -0,0 +1,60 @@
+## Agent Serialization: Download and Upload APIs
+
+We've added new APIs that allow you to download an agent's serialized JSON representation and upload it to recreate the agent in the system. These features enable easy agent backup, transfer between environments, and version control of agent configurations.
+
+### Import Agent Serialized
+
+Import a serialized agent file and recreate the agent in the system.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agent = client.agents.import_agent_serialized(
+    file=open("/path/to/agent/file.af", "rb"),
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+import * as fs from 'fs';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.importAgentSerialized({
+  file: fs.createReadStream("/path/to/your/file"),
+});
+```
+</CodeBlocks>
+
+### Export Agent Serialized
+Export the serialized JSON representation of an agent, formatted with indentation.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agent_json = client.agents.export_agent_serialized(
+    agent_id="AGENT_ID",
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agentJson = await client.agents.exportAgentSerialized({
+  agent_id: "AGENT_ID",
+});
+```
+</CodeBlocks>
+
+## Use Cases
+
+- Environment Migration: Transfer agents between local, desktop, and cloud environments
+- Version Control: Save agent configurations before making significant changes
+- Templating: Create template agents that can be quickly deployed for different use cases
+- Sharing: Share agent configurations with team members or across organizations
--- a/fern/changelog/2025-03-06.mdx
+++ b/fern/changelog/2025-03-06.mdx
@@ -0,0 +1,32 @@
+## Message Modification API
+
+We've added a new API endpoint that allows you to modify existing messages in an agent's conversation history. This feature is particularly useful for editing message history to refine agent behavior without starting a new conversation.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta, UpdateSystemMessage
+client = Letta(
+    token="YOUR_API_KEY",
+)
+client.agents.messages.modify(
+    agent_id="AGENT_ID",
+    message_id="MESSAGE_ID",
+    request=UpdateSystemMessage(
+        content="The agent should prioritize brevity in responses.",
+    ),
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.messages.modify({
+  agent_id: "AGENT_ID",
+  message_id: "MESSAGE_ID",
+  request: {
+    content: "The agent should prioritize brevity in responses."
+  }
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-12.mdx
+++ b/fern/changelog/2025-03-12.mdx
@@ -0,0 +1,51 @@
+## Identity Support for Memory Blocks
+
+Memory blocks can now be associated with specific identities, allowing for better organization and retrieval of contextual information about various entities in your agent's knowledge base.
+
+### Adding Blocks to an Identity
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta, CreateBlock
+client = Letta(
+   token="YOUR_API_KEY",
+)
+client.agents.identities.modify(
+   identity_id="IDENTITY_ID",
+   block_ids=["BLOCK_ID"],
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.identities.modify({
+  identity_id: "IDENTITY_ID",
+  block_ids: ["BLOCK_ID"],
+});
+```
+</CodeBlocks>
+
+### Querying Blocks by Identity
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+   token="YOUR_API_KEY",
+)
+client.agents.blocks.list(
+   identity_id="IDENTITY_ID",
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.blocks.list({
+  identity_id: "IDENTITY_ID",
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-13.mdx
+++ b/fern/changelog/2025-03-13.mdx
@@ -0,0 +1,3 @@
+## MCP Now Supported
+
+We've added MCP support in the latest SDK version. For full documentation on how to enable MCP with Letta, visit [our MCP guide](/guides/mcp/setup).
--- a/fern/changelog/2025-03-14.mdx
+++ b/fern/changelog/2025-03-14.mdx
@@ -0,0 +1,24 @@
+## New `include_relationships` Parameter for List Agents API
+
+You can now leverage a more customized, lightweight response from the list agents API by setting the `include_relationships` parameter to which fields you'd like to fetch in the response.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agents = client.agents.list(
+    include_relationships=["identities", "blocks", "tools"],
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agents = await client.agents.list({
+  include_relationships: ["identities", "blocks", "tools"],
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-15.mdx
+++ b/fern/changelog/2025-03-15.mdx
@@ -0,0 +1,28 @@
+## Message `content` field extended to include Multi-modal content parts
+
+The `content` field on `UserMessage` and `AssistantMessage` objects returned by our Messages endpoints has been extended to support multi-modal content parts, in anticipation of allowing you to send and receive messages with text, images, and other media.
+
+### Before:
+```curl
+  {
+    "id": "message-dea2ceab-0863-44ea-86dc-70cf02c05946",
+    "date": "2025-01-28T01:18:18+00:00",
+    "message_type": "user_message",
+    "content": "Hello, how are you?"
+  }
+```
+
+### After:
+```curl
+  {
+    "id": "message-dea2ceab-0863-44ea-86dc-70cf02c05946",
+    "date": "2025-01-28T01:18:18+00:00",
+    "message_type": "user_message",
+    "content": [
+      {
+        "type": "text",
+        "text": "Hello, how are you?"
+      }
+    ]
+  }
+```
--- a/fern/changelog/2025-03-16.mdx
+++ b/fern/changelog/2025-03-16.mdx
@@ -0,0 +1,3 @@
+## `Embedding` model info now specified directly on Source
+
+The `Source` object returned by our Sources endpoints now stores embedding related fields, to specify the embedding model and chunk size used to generate the source.
--- a/fern/changelog/2025-03-17.mdx
+++ b/fern/changelog/2025-03-17.mdx
@@ -0,0 +1,39 @@
+## Max invocation count tool rule
+
+A new tool rule has been introduced for configuring a max step count per tool rule.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+client.agents.create(
+    model="openai/gpt-4o-mini",
+    embedding="openai/text-embedding-3-small",
+    tool_rules=[
+        MaxCountPerStepToolRule(
+            tool_name="manage_inventory",
+            max_count_limit=10
+        )
+    ]
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  model: "openai/gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small",
+  tool_rules: [
+    {
+      type: "max_count_per_step",
+      tool_name: "manage_inventory",
+      max_count_limit: 10
+    }
+  ]
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-21.mdx
+++ b/fern/changelog/2025-03-21.mdx
@@ -0,0 +1,11 @@
+## Output messages added to Steps API
+
+The `Step` object returned by our Steps endpoints now includes a `steps_messages` field, which contains a list of messages generated by the step.
+
+## Order parameter added to List Agents and List Passages APIs
+
+The `List Agents` and `List Passages` endpoints now support an `ascending` parameter to sort the results based on creation timestamp.
+
+## Filter parameters added List Passages API
+
+The `List Passages` endpoint now supports filter parameters to filter the results including `after`, `before`, and `search` for filtering by text.
--- a/fern/changelog/2025-03-24.mdx
+++ b/fern/changelog/2025-03-24.mdx
@@ -0,0 +1,30 @@
+## New fields to support reasoning models
+
+The `LlmConfig` object now includes a `enable_reasoner` field, enables toggling on thinking steps for reasoning models like Sonnet 3.7. This change also includes support for specifying this along with `max_reasoning_tokens` in the agent creation API.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+    model="claude/sonnet-3-7",
+    enable_reasoner=True,
+    max_reasoning_tokens=10000,
+    max_tokens=100000
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  model: "claude/sonnet-3-7",
+  enable_reasoner: true,
+  max_reasoning_tokens: 10000,
+  max_tokens: 100000
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-03-26.mdx
+++ b/fern/changelog/2025-03-26.mdx
@@ -0,0 +1,28 @@
+## Modify Agent API now supports `model` and `embedding` fields
+
+The `Modify Agent` API now supports `model` and `embedding` fields to update the model and embedding used by the agent using the handles rather than specifying the entire configs.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+client.agents.modify(
+    agent_id="AGENT_ID",
+    model="openai/gpt-4o-mini",
+    embedding="openai/text-embedding-3-small",
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.modify({
+  agent_id: "AGENT_ID",
+  model: "openai/gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small",
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-02.mdx
+++ b/fern/changelog/2025-04-02.mdx
@@ -0,0 +1,26 @@
+## New `strip_messages` field in Import Agent API
+
+The `Import Agent` API now supports a new `strip_messages` field to remove messages from the agent's conversation history when importing a serialized agent file.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+client.agents.import_agent_serialized(
+    file=open("/path/to/agent/file.af", "rb"),
+    strip_messages=True,
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.agents.importAgentSerialized({
+  file: fs.createReadStream("/path/to/your/file"),
+  strip_messages: true,
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-04.mdx
+++ b/fern/changelog/2025-04-04.mdx
@@ -0,0 +1,41 @@
+## Add new `otid` field to Message API
+
+The `Message` object returned by our Messages endpoints now includes an offline threading id field, a unique identifier set at creation time, which can be used by the client to deduplicate messages.
+
+### Before:
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta, MessageCreate
+import uuid
+client = Letta(
+    token="YOUR_API_KEY",
+)
+messages = client.agents.messages.create(
+    agent_id="AGENT_ID",
+    messages=[
+        MessageCreate(
+            role="user",
+            content="Hello, how are you?"
+            otid=uuid.uuid4(),
+        )
+    ]
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+import { v4 as uuid } from 'uuid';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const messages = await client.agents.messages.create({
+  agent_id: "AGENT_ID",
+  messages: [
+    {
+      role: "user",
+      content: "Hello, how are you?",
+      otid: uuid.v4(),
+    },
+  ],
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-05.mdx
+++ b/fern/changelog/2025-04-05.mdx
@@ -0,0 +1,24 @@
+## Runs API can now be filtered by Agent ID
+
+The Runs API now supports filtering by `agent_id` to retrieve all runs and all active runs associated with a specific agent.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+runs = client.runs.list_active_runs(
+    agent_id="AGENT_ID",
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const runs = await client.runs.listActiveRuns({
+  agent_id: "AGENT_ID",
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-09.mdx
+++ b/fern/changelog/2025-04-09.mdx
@@ -0,0 +1,39 @@
+## New Parent Tool Rule
+
+A new tool rule has been introduced for configuring a parent tool rule, which only allows a target tool to be called after a parent tool has been run.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agent = client.agents.create(
+    model="openai/gpt-4o-mini",
+    embedding="openai/text-embedding-3-small",
+    tool_rules=[
+        ParentToolRule(
+            tool_name="parent_tool",
+            children=["child_tool"]
+        )
+    ]
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agent = await client.agents.create({
+  model: "openai/gpt-4o-mini",
+  embedding: "openai/text-embedding-3-small",
+  tool_rules: [
+    {
+      type: "parent",
+      tool_name: "parent_tool",
+      children: ["child_tool"]
+    }
+  ]
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-10.mdx
+++ b/fern/changelog/2025-04-10.mdx
@@ -0,0 +1,48 @@
+# New Upsert Properties API for Identities
+
+The `Upsert Properties` API has been added to the Identities endpoint, allowing you to update or create properties for an identity.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import IdentityProperty, Letta
+client = Letta(
+    token="YOUR_TOKEN",
+)
+client.identities.upsert_properties(
+    identity_id="IDENTITY_ID",
+    request=[
+        IdentityProperty(
+            key="name",
+            value="Caren",
+            type="string",
+        ),
+        IdentityProperty(
+            key="email",
+            value="caren@example.com",
+            type="string",
+        )
+    ],
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+await client.identities.upsertProperties({
+  identity_id: "IDENTITY_ID",
+  properties: [
+    {
+      key: "name",
+      value: "Caren",
+      type: "string",
+    },
+    {
+      key: "email",
+      value: "caren@example.com",
+      type: "string",
+    },
+  ],
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-13.mdx
+++ b/fern/changelog/2025-04-13.mdx
@@ -0,0 +1,42 @@
+## New `reasoning_effort` field added to LLMConfig
+
+The `reasoning_effort` field has been added to the `LLMConfig` object to control the amount of reasoning the model should perform, to support OpenAI's o1 and o3 reasoning models.
+
+## New `sender_id` parameter added to Message model
+
+The `Message` object now includes a `sender_id` field, which is the ID of the sender of the message, which can be either an identity ID or an agent ID. The `sender_id` is expected to be passed in at message creation time.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+messages = client.agents.messages.create(
+    agent_id="AGENT_ID",
+    messages=[
+        MessageCreate(
+            role="user",
+            content="Hello, how are you?",
+            sender_id="IDENTITY_ID",
+        )
+    ]
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const messages = await client.agents.messages.create({
+  agent_id: "AGENT_ID",
+  messages: [
+    {
+      role: "user",
+      content: "Hello, how are you?",
+      sender_id: "IDENTITY_ID",
+    },
+  ],
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-14.mdx
+++ b/fern/changelog/2025-04-14.mdx
@@ -0,0 +1,24 @@
+## New List Agent Groups API added
+
+The `List Agent Groups` API has been added to the Agents endpoint, allowing you to retrieve all multi-agent groups associated with a specific agent.
+
+<CodeBlocks>
+```python title="python"
+from letta_client import Letta
+client = Letta(
+    token="YOUR_API_KEY",
+)
+agent_groups = client.agents.list_agent_groups(
+    agent_id="AGENT_ID",
+)
+```
+```typescript title="node.js"
+import { LettaClient } from '@letta-ai/letta-client';
+const client = new LettaClient({
+  token: "YOUR_API_KEY",
+});
+const agentGroups = await client.agents.listAgentGroups({
+  agent_id: "AGENT_ID",
+});
+```
+</CodeBlocks>
--- a/fern/changelog/2025-04-15.mdx
+++ b/fern/changelog/2025-04-15.mdx
@@ -0,0 +1,5 @@
+## New Batch message creation API
+
+A series of new `Batch` endpoints has been introduced to support batch message creation, allowing you to perform multiple LLM requests in a single API call. These APIs leverage provider batch APIs under the hood, which can be more cost-effective than making multiple API calls.
+
+New endpoints can be found here: [Batch Messages](https://docs.letta.com/api-reference/messages/batch)
--- a/fern/changelog/2025-04-16.mdx
+++ b/fern/changelog/2025-04-16.mdx
@@ -0,0 +1,7 @@
+# New Projects Endpoint
+
+<Note> These APIs are only available for Letta Cloud. </Note>
+
+A new `Projects` endpoint has been added to the API, allowing you to manage projects and their associated templates.
+
+The new endpoints can be found here: [Projects](https://docs.letta.com/api-reference/projects)
--- a/fern/changelog/2025-04-18.mdx
+++ b/fern/changelog/2025-04-18.mdx
@@ -0,0 +1,31 @@
+## SDK Method Name Changes
+
+In an effort to keep our SDK method names consistent with our conventions, we have renamed the following methods:
+
+### Before and After
+
+| SDK Method Name | Before | After |
+| --- | --- | --- |
+| List Tags | `client.tags.list_tags` | `client.tags.list` |
+| Export Agent | `client.agents.export_agent_serialized` | `client.agents.export` |
+| Import Agent | `client.agents.import_agent_serialized` | `client.agents.import` |
+| Modify Agent Passage | `client.agents.modify_passage` | `client.agents.passages.modify` |
+| Reset Agent Messages | `client.agents.reset_messages` | `client.agents.messages.reset` |
+| List Agent Groups | `client.agents.list_agent_groups` | `client.agents.groups.list` |
+| Reset Group Messages | `client.groups.reset_messages` | `client.groups.messages.reset` |
+| Upsert Identity Properties | `client.identities.upsert_identity_properties` | `client.identities.properties.upsert` |
+| Retrieve Source by Name | `client.sources.get_by_name` | `client.sources.retrieve_by_name` |
+| List Models | `client.models.list_llms` | `client.models.list` |
+| List Embeddings | `client.models.list_embedding_models` | `client.embeddings.list` |
+| List Agents for Block | `client.blocks.list_agents_for_block` | `client.blocks.agents.list` |
+| List Providers | `client.providers.list_providers` | `client.providers.list` |
+| Create Provider | `client.providers.create_providers` | `client.providers.create` |
+| Modify Provider | `client.providers.modify_providers` | `client.providers.modify` |
+| Delete Provider | `client.providers.delete_providers` | `client.providers.delete` |
+| List Runs | `client.runs.list_runs` | `client.runs.list` |
+| List Active Runs | `client.runs.list_active_runs` | `client.runs.list_active` |
+| Retrieve Run | `client.runs.retrieve_run` | `client.runs.retrieve` |
+| Delete Run | `client.runs.delete_run` | `client.runs.delete` |
+| List Run Messages | `client.runs.list_run_messages` | `client.runs.messages.list` |
+| List Run Steps | `client.runs.list_run_steps` | `client.runs.steps.list` |
+| Retrieve Run Usage | `client.runs.retrieve_run_usage` | `client.runs.usage.retrieve` |
--- a/fern/docs.yml
+++ b/fern/docs.yml
@@ -0,0 +1,688 @@
+instances:
+  - url: https://letta.docs.buildwithfern.com
+    custom-domain: https://docs.letta.com
+title: Letta
+
+experimental:
+  openapi-parser-v3: true
+
+tabs:
+  docs:
+    display-name: Documentation
+    slug: documentation
+  ade:
+    display-name: ADE Guide
+    slug: ade
+  cloud:
+    display-name: Letta Cloud
+    skip-slug: true
+  selfhosted:
+    display-name: Self-Hosting
+    skip-slug: true
+  ref:
+    display-name: API Reference
+    skip-slug: true
+  cookbooks:
+    display-name: Cookbooks
+    icon: fa-sharp fa-light fa-books
+    skip-slug: true
+  github:
+    display-name: GitHub
+    icon: fa-brands fa-github
+    href: https://github.com/letta-ai/letta
+  discord:
+    display-name: Discord
+    icon: fa-brands fa-discord
+    href: https://discord.gg/letta
+  community:
+    display-name: Developer Community
+    icon: fa-sharp fa-light fa-user-astronaut
+    skip-slug: true
+  install:
+    display-name: Download
+    icon: fa-sharp fa-light fa-download
+    skip-slug: true
+  showcase:
+    display-name: Examples
+    skip-slug: true
+  leaderboard:
+    display-name: Leaderboard
+    skip-slug: true
+
+
+landing-page:
+  page: home
+  path: pages/index.mdx
+
+navigation:
+  - tab: docs
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: Get Started
+        contents:
+          - page: Letta Overview
+            path: pages/getting-started/letta_platform.mdx
+          - page: Quickstart
+            path: pages/getting-started/quickstart.mdx
+          - page: Prompts for Vibecoding
+            path: pages/getting-started/prompts.mdx
+          #- section: Supported Frameworks
+          #  contents:
+          #    - page: TypeScript (Node.js)
+          #      path: pages/getting-started/ade.mdx
+          #    - page: Python
+          #      path: pages/getting-started/ade.mdx
+          #    - page: Vercel AI SDK
+          #      path: pages/frameworks/vercel.mdx
+          #    - page: React
+          #      path: pages/frameworks/react.mdx
+          #    - page: Next.js
+          #      path: pages/frameworks/next.mdx
+          #    - page: Flask
+          #      path: pages/frameworks/flask.mdx
+          #    - page: Mastra
+          #      path: pages/frameworks/mastra.mdx
+
+      - section: Stateful Agents
+        contents:
+          - page: Overview
+            path: pages/agents/overview.mdx
+          - section: Agent Architectures
+            path: pages/agents/architectures.mdx
+            contents:
+              - page: MemGPT Agents
+                path: pages/agents/memgpt_agents.mdx
+              - page: Sleep-time Agents
+                path: pages/agents/sleep_time_agents.mdx
+              - page: Low-latency (voice) Agents
+                path: pages/agents/low_latency_agents.mdx
+              - page: ReAct Agents
+                path: pages/agents/react_agents.mdx
+              - page: Workflows
+                path: pages/agents/workflows.mdx
+              - page: Stateful Workflows
+                path: pages/agents/stateful_workflows.mdx
+          - page: Context Hierarchy
+            path: pages/agents/context_hierarchy.mdx
+          - page: Heartbeats
+            path: pages/agents/heartbeats.mdx
+          - section: Memory
+            path: pages/agents/memory.mdx
+            contents:
+              - page: Memory Blocks
+                path: pages/agents/memory_blocks.mdx
+              - page: Agentic Context Engineering
+                path: pages/agents/context_engineering.mdx
+          - page: Filesystem
+            path: pages/agents/filesystem.mdx
+          - page: Streaming Responses
+            path: pages/agents/streaming.mdx
+          - page: Long-Running Executions
+            path: pages/agents/long_running.mdx
+          - page: JSON Mode & Structured Output
+            path: pages/agents/json_mode.mdx
+          - page: Human-in-the-Loop
+            path: pages/agents/human_in_the_loop.mdx
+          - page: Multi-Modal
+            path: pages/agents/multimodal.mdx
+          - section: Multi-Agent
+            path: pages/agents/multiagent.mdx
+            contents:
+            - page: Custom Multi-Agent Tools
+              path: pages/agents/multiagent_custom.mdx
+            - page: Multi-Agent Shared Memory
+              path: pages/agents/multiagent_memory.mdx
+            - page: Groups
+              path: pages/agents/groups.mdx
+          - page: Multi-User (Identities)
+            path: pages/agents/multiuser.mdx
+          - page: Agent File (.af)
+            path: pages/agents/agentfile.mdx
+          - page: Scheduling
+            path: pages/agents/scheduling.mdx
+          - section: Voice Agents
+            path: pages/voice/voice.mdx
+            contents:
+              - page: Connecting to LiveKit Agents
+                path: pages/voice/voice_livekit.mdx
+              - page: Connecting to Vapi
+                path: pages/voice/voice_vapi.mdx
+
+      - section: Tool Use
+        contents:
+          - page: Overview
+            path: pages/agents/tools.mdx
+          - page: Pre-built Tools
+            path: pages/agents/prebuilt_tools.mdx
+          - page: Custom Tools
+            path: pages/agents/custom_tools.mdx
+          - page: Tool Rules
+            path: pages/agents/tool_rules.mdx
+          - page: Tool Variables
+            path: pages/agents/tool_variables.mdx
+          - page: Composio Integration
+            path: pages/agents/composio.mdx
+            hidden: true
+          - section: Model Context Protocol
+            path: pages/mcp/overview.mdx
+            contents:
+              - page: Connecting Letta to MCP
+                path: pages/mcp/setup.mdx
+              - page: Remote (SSE/HTTP) Servers
+                path: pages/mcp/sse.mdx
+              - page: Local (stdio) Servers
+                path: pages/mcp/stdio.mdx
+
+      #- section: Tool Execution
+      #  contents:
+      #    - page: Overview
+      #      path: pages/tool_execution/overview.mdx
+      # - section: Model Context Protocol
+      #   contents:
+      #     - page: What is MCP?
+      #       path: pages/mcp/overview.mdx
+      #     - section: Connecting Letta to MCP
+      #       path: pages/mcp/setup.mdx
+      #       contents:
+      #         - page: Remote (SSE/HTTP) Servers
+      #           path: pages/mcp/sse.mdx
+      #         - page: Local (stdio) Servers
+      #           path: pages/mcp/stdio.mdx
+      #- section: Deploying a Letta Server
+      #  contents:
+      #    - page: Letta Docker Image
+      #      path: pages/server/docker.mdx
+      #    - section: Connecting Model Providers
+      #      contents:
+      #        - page: OpenAI
+      #          path: pages/models/openai.mdx
+      #        - page: OpenAI proxy
+      #          path: pages/models/openai_proxy.mdx
+      #        - page: Anthropic
+      #          path: pages/models/anthropic.mdx
+      #        - page: DeepSeek
+      #          path: pages/models/deepseek.mdx
+      #        - page: AWS Bedrock
+      #          path: pages/models/aws_bedrock.mdx
+      #        - page: Groq
+      #          path: pages/models/groq.mdx
+      #        - page: xAI (Grok)
+      #          path: pages/models/xai.mdx
+      #        - page: Together
+      #          path: pages/models/together.mdx
+      #        - page: Google AI / Gemini
+      #          path: pages/models/google.mdx
+      #        - page: Google Vertex
+      #          path: pages/models/google_vertex.mdx
+      #        - page: Azure OpenAI
+      #          path: pages/models/azure.mdx
+      #        - page: Ollama
+      #          path: pages/models/ollama.mdx
+      #        - page: LM Studio
+      #          path: pages/models/lmstudio.mdx
+      #        - page: vLLM
+      #          path: pages/models/vllm.mdx
+      #    - section: Remote Hosting
+      #      path: pages/deployment/remote.mdx
+      #      contents:
+      #        - page: Deploy on Railway
+      #          path: pages/deployment/railway.mdx
+      #    - section: Alternate Install Methods
+      #      contents:
+      #      - page: Using pip
+      #        path: pages/server/pip.mdx
+      #      - page: Installing from Source
+      #        path: pages/server/source.mdx
+      #- section: Agent Templates
+      #  contents:
+      #    - page: Introduction to Templates
+      #      path: pages/cloud/templates.mdx
+      #    - page: Memory Variables
+      #      path: pages/cloud/variables.mdx
+      #    - page: Versioning
+      #      path: pages/cloud/versions.mdx
+      - section: Key Concepts
+        contents:
+          - page: Letta concepts
+            path: pages/concepts/letta.mdx
+          - page: MemGPT concepts
+            path: pages/concepts/memgpt.mdx
+      - section: Additional Resources
+        contents:
+          - page: Letta Desktop Troubleshooting
+            path: pages/desktop/troubleshooting.mdx
+          - page: ADE Troubleshooting
+            path: pages/agent-development-environment/troubleshooting.mdx
+  - tab: ade
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: ADE Guide
+        contents:
+          - page: ADE Overview
+            path: pages/ade-guide/overview.mdx
+          - section: Getting Started
+            path: pages/ade-guide/setup.mdx
+            contents:
+            - page: Access from your browser
+              icon: fa-sharp fa-light fa-browser
+              path: pages/ade-guide/web.mdx
+            - page: Download Letta Desktop
+              icon: fa-sharp fa-light fa-download
+              path: pages/desktop/install.mdx
+      - section: ADE Components
+        contents:
+          - page: Agent Simulator
+            icon: fa-sharp fa-light fa-alien-8bit
+            path: pages/ade-guide/simulator.mdx
+          - page: Context Window Viewer
+            icon: fa-sharp fa-light fa-eye
+            path: pages/ade-guide/context_window_viewer.mdx
+          - page: Core Memory
+            icon: fa-sharp fa-light fa-brain
+            path: pages/ade-guide/core_memory.mdx
+          - page: Archival Memory
+            icon: fa-sharp fa-light fa-box-archive
+            path: pages/ade-guide/archival_memory.mdx
+          - page: Data Sources
+            icon: fa-sharp fa-light fa-database
+            path: pages/ade-guide/data_sources.mdx
+          - page: Tools
+            icon: fa-sharp fa-light fa-wrench
+            path: pages/ade-guide/tools.mdx
+          - page: Settings
+            icon: fa-sharp fa-light fa-gear
+            path: pages/ade-guide/settings.mdx
+  - tab: selfhosted
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      #- page: Install Letta Desktop
+      #  icon: fa-sharp fa-light fa-download
+      #  path: pages/install.mdx
+      - section: Self-Hosting
+        contents:
+          - page: Overview
+            path: pages/selfhosting/overview.mdx
+          - page: Tool Execution
+            path: pages/tool_execution/local_tool_execution.mdx
+          - page: Tracing & Telemetry
+            path: pages/deployment/telemetry.mdx
+          - section: Deployment
+            path: pages/deployment/remote.mdx
+            contents:
+              - page: Railway
+                path: pages/deployment/railway.mdx
+          #- page: Deploying with Docker
+          #  icon: fa-brands fa-docker
+          #  path: pages/server/docker.mdx
+          #- page: Install Letta via pip
+          #  icon: fa-brands fa-python
+          #  path: pages/server/pip.mdx
+      - section: Connecting Model Providers
+        contents:
+          - page: Supported Models
+            path: pages/selfhosting/supported-models.mdx
+          - page: OpenAI
+            path: pages/models/openai.mdx
+          - page: Anthropic
+            path: pages/models/anthropic.mdx
+          - page: Gemini (Google AI)
+            path: pages/models/google.mdx
+          - page: LM Studio
+            path: pages/models/lmstudio.mdx
+          - section: See More Providers
+            icon: fa-sharp fa-light fa-caret-down
+            contents:
+              - page: OpenAI proxy
+                path: pages/models/openai_proxy.mdx
+              - page: DeepSeek
+                path: pages/models/deepseek.mdx
+              - page: AWS Bedrock
+                path: pages/models/aws_bedrock.mdx
+              - page: Groq
+                path: pages/models/groq.mdx
+              - page: xAI (Grok)
+                path: pages/models/xai.mdx
+              - page: Together
+                path: pages/models/together.mdx
+              - page: Google Vertex
+                path: pages/models/google_vertex.mdx
+              - page: Azure OpenAI
+                path: pages/models/azure.mdx
+              - page: Ollama
+                path: pages/models/ollama.mdx
+              - page: vLLM
+                path: pages/models/vllm.mdx
+      #- section: Remote Deployments
+      #  contents:
+      #    - page: Overview
+      #      path: pages/deployment/remote.mdx
+      #    - page: Example - Deploy on Railway
+      #      path: pages/deployment/railway.mdx
+      - section: Advanced
+        contents:
+        #- page: Install with pip
+        #  path: pages/server/pip.mdx
+        - page: Database Configuration
+          path: pages/selfhosting/postgres.mdx
+        - page: Performance
+          path: pages/selfhosting/performance.mdx
+        - page: pgadmin
+          path: pages/selfhosting/pgadmin.mdx
+        - page: Installing from Source
+          path: pages/server/source.mdx
+  - tab: cloud
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: Get started
+        contents:
+          - page: Overview
+            path: pages/cloud/overview.mdx
+          #- page: Quickstart
+          #  path: pages/getting-started/quickstart_cloud.mdx
+          - page: Get a Letta Cloud API key
+            path: pages/cloud/api_key.mdx
+      - section: Account
+        contents:
+          - page: Plans & Pricing
+            path: pages/cloud/pricing.mdx
+          # - page: Available Models
+            # path: pages/cloud/models.mdx
+          - page: Custom API Keys
+            path: pages/cloud/api_keys.mdx
+          - page: Role-Based Access Control
+            path: pages/cloud/rbac.mdx
+      - section: Deploying Agents
+        contents:
+          - page: Agent Templates Overview
+            path: pages/cloud/templates.mdx
+          - page: Template Versioning
+            path: pages/cloud/versions.mdx
+          - page: Memory Variables
+            path: pages/cloud/variables.mdx
+          - page: Client-Side Access Tokens
+            path: pages/cloud/client-side-tokens.mdx
+          # - page: Deploying via the SDK
+            # path: pages/cloud/variables.mdx
+          # - page: Deploying via the ADE
+            # path: pages/cloud/versions.mdx
+      - section: Observability
+        contents:
+          - page: Overview
+            path: pages/cloud/observability.mdx
+          - page: Monitoring
+            path: pages/cloud/monitoring.mdx
+          - page: Responses & Tracing
+            path: pages/cloud/responses.mdx
+  - tab: ref
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: API Reference
+        contents:
+          - page: API and SDK Overview
+            path: pages/api/about.mdx
+          - changelog: ./changelog
+            title: Changelog
+            slug: changelog
+      - api: API Reference
+        display-errors: true
+        paginated: true
+        flattened: true
+        snippets:
+          typescript: "@letta-ai/letta-client"
+          python: letta-client
+        layout:
+          - agents
+
+  - tab: showcase
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: Examples
+        contents:
+          - page: Overview
+            path: pages/cookbooks_simple.mdx
+      - section: Multi-Agent
+        contents:
+          - page: Async Multi-Agent
+            path: pages/tutorials/multiagent_async.mdx
+
+  - tab: leaderboard
+    layout:
+      - link: Chat on Discord
+        icon: fa-brands fa-discord
+        href: https://discord.gg/letta
+      - link: Developer Forum
+        icon: fa-sharp fa-light fa-comments
+        href: https://forum.letta.com
+      - link: DeepLearning.AI Course
+        icon: fa-sharp fa-light fa-building-columns
+        href: https://www.deeplearning.ai/short-courses/llms-as-operating-systems-agent-memory/?utm_campaign=memgpt-launch&utm_content=331638345&utm_medium=social&utm_source=docs&hss_channel=tw-992153930095251456
+      - section: Letta Leaderboard
+        contents:
+          - page: Overview
+            path: pages/leaderboard/overview.mdx
+          # - page: Benchmark Information
+          #   path: pages/leaderboard/benchmarks.mdx
+          - page: Contributing Results
+            path: pages/leaderboard/contributing.mdx
+
+
+  # - tab: cookbooks
+  #   layout:
+  #     - section: Cookbooks
+  #       path: pages/cookbooks.mdx
+  #       contents:
+  #         - section: Multi-Agent
+  #           contents:
+  #             - page: Async Multi-Agent
+  #               path: pages/tutorials/multiagent_async.mdx
+  # - tab: community
+  #   layout:
+  #     - page: Developer Community
+  #       path: pages/community.mdx
+
+colors:
+  accent-primary:
+    light: '#0707ac'
+    dark: '#FF5533'
+  background:
+    light: '#ffffffff'
+    dark: '#0d0d0d'
+  card-background:
+    light: '#f6f6f6ff'
+    dark: '#151515'
+  header-background:
+    light: '#fbfbfbff'
+    dark: '#000000ff'
+  border:
+    light: '#eef0f2ff'
+    dark: '#202020'
+
+css:
+  - assets/styles.css
+  - assets/leaderboard.css
+
+js:
+  - path: assets/leaderboard.js
+    strategy: lazyOnload
+    # strategy: afterInteractive
+
+favicon: assets/favicon.png
+
+logo:
+  href: /
+  light: assets/logo-light.svg
+  dark: assets/logo-dark.svg
+
+navbar-links:
+  - type: github
+    value: https://github.com/letta-ai/letta
+  - type: filled
+    text: Launch ADE
+    href: https://app.letta.com
+    rounded: false
+
+layout:
+  page-width: 1504px
+  tabs-placement: header
+  searchbar-placement: header
+
+typography:
+  bodyFont:
+    name: ManropeRegularBody
+    paths:
+      - path: assets/fonts/manrope/Manrope-Regular.ttf
+        weight: 400
+        style: normal
+      - path: assets/fonts/manrope/Manrope-Medium.ttf
+        weight: 500 900
+        style: normal
+  headingsFont:
+    name: RoobertMediumHeading
+    path: assets/fonts/roobert/RoobertMedium.woff2
+  codeFont:
+    name: FiraCode
+    paths:
+      - path: assets/fonts/fira-code/FiraCode-Regular.ttf
+        weight: 400
+        style: normal
+      - path: assets/fonts/fira-code/FiraCode-Medium.ttf
+        weight: 500 900
+        style: normal
+
+redirects:
+  - source: "/install"
+    destination: "/guides/ade/desktop"
+  - source: "/desktop"
+    destination: "/guides/ade/desktop"
+  - source: "/quickstart/desktop"
+    destination: "/guides/ade/desktop"
+  - source: "/quickstart/docker"
+    destination: "/guides/selfhosting"
+  - source: "/guides/server/pip"
+    destination: "/guides/selfhosting"
+  - source: "/quickstart/cloud"
+    destination: "/cloud/quickstart"
+  - source: "/guides/server/docker"
+    destination: "/guides/selfhosting"
+  - source: "/agent-development-environment"
+    destination: "/guides/ade/overview"
+  - source: "/guides/ade/usage"
+    destination: "/guides/ade/overview"
+  - source: "/guides/agents/mcp"
+    destination: "/guides/mcp/overview"
+  - source: "/guides/mcp/sse"
+    destination: "/guides/mcp/remote"
+  - source: "/guides/mcp/stdio"
+    destination: "/guides/mcp/local"
+  - source: "/guides/server/quickstart"
+    destination: "/quickstart"
+  - source: "/agent-development-environment/troubleshooting"
+    destination: "/guides/ade/troubleshooting"
+  - source: "/models/openai"
+    destination: "/guides/server/providers/openai"
+  - source: "/models/openai_proxy"
+    destination: "/guides/server/providers/openai-proxy"
+  - source: "/models/anthropic"
+    destination: "/guides/server/providers/anthropic"
+  - source: "/models/aws_bedrock"
+    destination: "/guides/server/providers/aws_bedrock"
+  - source: "/models/groq"
+    destination: "/guides/server/providers/groq"
+  - source: "/models/together"
+    destination: "/guides/server/providers/together"
+  - source: "/models/google"
+    destination: "/guides/server/providers/google"
+  - source: "/models/google_vertex"
+    destination: "/guides/server/providers/google_vertex"
+  - source: "/models/deepseek"
+    destination: "/guides/server/providers/deepseek"
+  - source: "/models/ollama"
+    destination: "/guides/server/providers/ollama"
+  - source: "/models/vllm"
+    destination: "/guides/server/providers/vllm"
+  - source: "/models/azure"
+    destination: "/guides/server/providers/azure"
+  - source: "/server/docker"
+    destination: "/guides/server/docker"
+  - source: "/server/pip"
+    destination: "/guides/server/pip"
+  - source: "/agents/tools"
+    destination: "/guides/agents/tools"
+  - source: "/concepts"
+    destination: "/concepts/letta"
+  - source: "/introduction"
+    destination: "/letta-platform"
+  - source: "/advanced/memory_management"
+    destination: "/guides/agents/memory"
+  - source: "/changelog"
+    destination: "/api-reference/changelog"
+  - source: "/api-changelog"
+    destination: "/api-reference/changelog"
+  - source: "/quickstart/cloud"
+    destination: "/quickstart"
+  - source: "/guides/cloud"
+    destination: "/guides/cloud/overview"
+  - source: "/guides/ade"
+    destination: "/guides/ade/overview"
+  - source: "/cloud/quickstart"
+    destination: "/guides/cloud/quickstart"
+  - source: "/letta-platform"
+    destination: "/overview"
+  - source: "/guides/agents/sleep-time-agents"
+    destination: "/guides/agents/architectures/sleeptime"
+  - source: "/guides/agents/sources"
+    destination: "/guides/agents/filesystem"
+  - source: "/guides/desktop/install"
+    destination: "/guides/ade/desktop"
+  - source: "/api-reference/agents/cancel-agent-run"
+    destination: "/api-reference/agents/messages/cancel"
+  - source: "/api-reference/messages/cancel-batch-run"
+    destination: "/api-reference/batches/cancel"
--- a/fern/examples/agent_config.py
+++ b/fern/examples/agent_config.py
@@ -0,0 +1,60 @@
+from letta_client import Letta
+
+client = Letta(base_url="http://localhost:8283")
+
+# list available models
+models = client.models.list_llms()
+for model in models:
+    print(f"Provider {model.model_endpoint_type} model {model.model}: {model.handle}")
+
+# list available embedding models
+embedding_models = client.models.list_embedding_models()
+for model in embedding_models:
+    print(f"Provider {model.handle}")
+
+# openai
+openai_agent = client.agents.create(
+    model="openai/gpt-4o-mini",
+    embedding="openai/text-embedding-3-small",
+    # optional configuration
+    context_window_limit=16000,
+    embedding_chunk_size=300,
+)
+
+# Azure OpenAI
+azure_openai_agent = client.agents.create(
+    model="azure/gpt-4o-mini",
+    embedding="azure/text-embedding-3-small",
+    # optional configuration
+    context_window_limit=16000,
+    embedding_chunk_size=300,
+)
+
+# anthropic
+anthropic_agent = client.agents.create(
+    model="anthropic/claude-3-5-sonnet-20241022",
+    # note: anthropic does not support embeddings so you will need another provider
+    embedding="openai/text-embedding-3-small",
+    # optional configuration
+    context_window_limit=16000,
+    embedding_chunk_size=300,
+)
+
+# Groq
+groq_agent = client.agents.create(
+    model="groq/llama-3.3-70b-versatile",
+    # note: groq does not support embeddings so you will need another provider
+    embedding="openai/text-embedding-3-small",
+    # optional configuration
+    context_window_limit=16000,
+    embedding_chunk_size=300,
+)
+
+# Ollama
+ollama_agent = client.agents.create(
+    model="ollama/thewindmom/hermes-3-llama-3.1-8b:latest",
+    embedding="ollama/mxbai-embed-large:latest",
+    # optional configuration
+    context_window_limit=16000,
+    embedding_chunk_size=300,
+)
--- a/fern/examples/composio_tools.py
+++ b/fern/examples/composio_tools.py
@@ -0,0 +1,30 @@
+"""
+Example of using composio tools in Letta
+
+Make sure you set `COMPOSIO_API_KEY` environment variable or run `composio login` to authenticate with Composio.
+"""
+
+from composio import Action
+from letta_client import Letta
+
+client = Letta(base_url="http://localhost:8283")
+
+# add a composio tool
+tool = client.tools.add_composio_tool(composio_action_name=Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER.name)
+
+# create an agent with the tool
+agent = client.agents.create(
+    name="file_editing_agent",
+    memory_blocks=[{"label": "persona", "value": "I am a helpful assistant"}],
+    model="anthropic/claude-3-5-sonnet-20241022",
+    embedding="openai/text-embedding-3-small",
+    tool_ids=[tool.id],
+)
+print("Agent tools", [tool.name for tool in agent.tools])
+
+# message the agent
+response = client.agents.messages.create(
+    agent_id=agent.id, messages=[{"role": "user", "content": "Star the github repo `letta` by `letta-ai`"}]
+)
+for message in response.messages:
+    print(message)
--- a/fern/examples/data_sources.py
+++ b/fern/examples/data_sources.py
@@ -0,0 +1,56 @@
+import time
+
+from letta_client import Letta
+
+client = Letta(base_url="http://localhost:8283")
+
+# get available embedding models
+embedding_configs = client.models.list_embedding_models()
+
+# clear existing sources
+if len(client.sources.list()) > 0:
+    for source in client.sources.list():
+        if source.name == "my_source":
+            client.sources.delete(source.id)
+
+# create a source
+# TODO: pass in embedding
+source = client.sources.create(name="my_source", embedding_config=embedding_configs[0])
+
+# list sources
+sources = client.sources.list()
+
+# write a dummy file
+with open("dummy.txt", "w") as f:
+    f.write("Remember that the user is a redhead")
+
+# upload a file into the source
+job = client.sources.files.upload(source_id=source.id, file=open("dummy.txt", "rb"))
+
+# wait until the job is completed
+while True:
+    job = client.jobs.retrieve(job.id)
+    if job.status == "completed":
+        break
+    elif job.status == "failed":
+        raise ValueError(f"Job failed: {job.metadata}")
+    print(f"Job status: {job.status}")
+    time.sleep(1)
+
+# list files in the source
+files = client.sources.files.list(source_id=source.id)
+print(f"Files in source: {files}")
+
+# list passages in the source
+passages = client.sources.passages.list(source_id=source.id)
+print(f"Passages in source: {passages}")
+
+# attach the source to an agent
+agent = client.agents.create(
+    name="my_agent",
+    memory_blocks=[],
+    model="anthropic/claude-3-5-sonnet-20241022",
+    embedding=embedding_configs[0].handle,
+    tags=["worker"],
+)
+client.agents.sources.attach(agent_id=agent.id, source_id=source.id)
--- a/fern/examples/memory.py
+++ b/fern/examples/memory.py
@@ -0,0 +1,44 @@
+from letta_client import Letta
+
+client = Letta(base_url="http://localhost:8283")
+
+agent = client.agents.create(
+    name="memory_agent",
+    memory_blocks=[
+        {"label": "persona", "value": "I am a memory agent"},
+        {"label": "human", "value": "Name: Bob", "limit": 10000},
+    ],
+    model="anthropic/claude-3-5-sonnet-20241022",
+    embedding="openai/text-embedding-3-small",
+    tags=["worker"],
+)
+
+
+# create a persisted block, which can be attached to agents
+block = client.blocks.create(
+    label="organization",
+    value="Organization: Letta",
+    limit=4000,
+)
+
+# create an agent with both a shared block and its own blocks
+shared_block_agent = client.agents.create(
+    name="shared_block_agent",
+    memory_blocks=[block.id],
+    model="anthropic/claude-3-5-sonnet-20241022",
+    embedding="openai/text-embedding-3-small",
+    tags=["worker"],
+)
+
+# list the agents blocks
+blocks = client.agents.core_memory.list_blocks(shared_block_agent.id)
+for block in blocks:
+    print(block)
+
+# update the block (via ID)
+block = client.blocks.modify(block.id, limit=10000)
+
+# update the block (via label)
+block = client.agents.core_memory.modify_block(
+    agent_id=shared_block_agent.id, block_label="organization", value="Organization: Letta", limit=10000
+)
--- a/fern/examples/simple_multiagent.py
+++ b/fern/examples/simple_multiagent.py
@@ -0,0 +1,53 @@
+from letta_client import Letta
+
+client = Letta(base_url="http://localhost:8283")
+
+
+try:
+    # create a supervisor agent
+    supervisor_agent = client.agents.create(
+        name="supervisor_agent",
+        memory_blocks=[
+            {"label": "persona", "value": "I am the supervisor, and I can communicate with worker agents with the tag `worker`"}
+        ],
+        model="anthropic/claude-3-5-sonnet-20241022",
+        embedding="openai/text-embedding-3-small",
+        tags=["supervisor"],
+        tools=["send_message_to_agents_matching_all_tags"],
+    )
+    print(f"Created agent {supervisor_agent.name} with ID {supervisor_agent.id}")
+
+    def get_name() -> str:
+        """Get the name of the worker agent."""
+        return "Bob"
+
+    tool = client.tools.upsert_from_function(func=get_name)
+    print(f"Created tool {tool.name} with ID {tool.id}")
+
+    # create a worker agent
+    worker_agent = client.agents.create(
+        name="worker_agent",
+        memory_blocks=[{"label": "persona", "value": f"I am the worker, my supervisor agent has ID {supervisor_agent.id}"}],
+        model="anthropic/claude-3-5-sonnet-20241022",
+        embedding="openai/text-embedding-3-small",
+        tool_ids=[tool.id],
+        tags=["worker"],
+        tools=["send_message_to_agents_matching_all_tags"],
+    )
+    print(f"Created agent {worker_agent.name} with ID {worker_agent.id}")
+
+    # send a message to the supervisor agent
+    response = client.agents.messages.create(
+        agent_id=worker_agent.id,
+        messages=[{"role": "user", "content": "Ask the worker agents what their name is, then tell me with send_message"}],
+    )
+    print(response.messages)
+    print(response.usage)
+except Exception as e:
+    print(e)
+
+    # cleanup
+    agents = client.agents.list(tags=["worker", "supervisor"])
+    for agent in agents:
+        client.agents.delete(agent.id)
+        print(f"Deleted agent {agent.name} with ID {agent.id}")
--- a/fern/examples/tool_rules.py
+++ b/fern/examples/tool_rules.py
@@ -0,0 +1,34 @@
+"""
+This example shows how to create agents with tool rules, which restrict
+what tool the agent can execute at a given step.
+
+Note that by default, agents can execute any tool. As agents become more
+powerful, they will not need as much guidance from the developer.
+
+Last tested with letta-client version: 0.1.22
+"""
+
+from letta_client import ChildToolRule, InitToolRule, Letta, TerminalToolRule
+
+client = Letta(base_url="http://localhost:8283")
+
+# always search archival memory first
+search_agent = client.agents.create(
+    name="search_agent",
+    memory_blocks=[],
+    model="anthropic/claude-3-5-sonnet-20241022",
+    embedding="openai/text-embedding-3-small",
+    tags=["worker"],
+    tool_rules=[
+        InitToolRule(tool_name="archival_memory_search"),
+        ChildToolRule(tool_name="archival_memory_search", children=["send_message"]),
+        # TerminalToolRule(tool_name="send_message", type="TerminalToolRule"),
+        TerminalToolRule(tool_name="send_message"),
+    ],
+)
+response = client.agents.messages.create(
+    agent_id=search_agent.id,
+    messages=[{"role": "user", "content": "do something"}],
+)
+for message in response.messages:
+    print(message)
--- a/fern/fern.config.json
+++ b/fern/fern.config.json
@@ -0,0 +1,4 @@
+{
+  "organization": "letta",
+  "version": "0.65.37"
+}
--- a/fern/generators.yml
+++ b/fern/generators.yml
@@ -0,0 +1,53 @@
+auth-schemes:
+  token:
+    header: Authorization
+    prefix: Bearer
+    type: optional<string>
+api:
+  auth: token
+  headers:
+    X-Project:
+      type: optional<string>
+      name: project
+  specs:
+    - openapi: openapi.json
+      overrides: openapi-overrides.yml
+      settings:
+        title-as-schema-name: false
+        prefer-undiscriminated-unions-with-literals: true
+groups:
+  python-sdk:
+    generators:
+      - name: fernapi/fern-python-sdk
+        version: 4.25.6
+        output:
+          location: pypi
+          package-name: letta-client
+          token: ${PYPI_TOKEN}
+        github:
+          repository: letta-ai/letta-python
+        config:
+          package_name: letta_client
+          pydantic_config:
+            skip_validation: true
+          client:
+            class_name: LettaBase
+            filename: base_client.py
+            exported_class_name: Letta
+            exported_filename: client.py
+  ts-sdk:
+    generators:
+      - name: fernapi/fern-typescript-node-sdk
+        version: 0.51.7
+        output:
+          location: npm
+          package-name: "@letta-ai/letta-client"
+          token: ${NPM_TOKEN}
+        github:
+          repository: "letta-ai/letta-node"
+        config:
+          namespaceExport: Letta
+          allowCustomFetcher: true
+          skipResponseValidation: true
+          includeApiReference: true
+        smart-casing: true
--- a/fern/images/ade-mm-dark.png
+++ b/fern/images/ade-mm-dark.png
--- a/fern/images/ade-mm.png
+++ b/fern/images/ade-mm.png
--- a/fern/images/ade_mcp.png
+++ b/fern/images/ade_mcp.png
--- a/fern/images/ade_screenshot_chat.png
+++ b/fern/images/ade_screenshot_chat.png
--- a/fern/images/ade_screenshot_chat_light.png
+++ b/fern/images/ade_screenshot_chat_light.png
--- a/fern/images/ade_screenshot_tool_debugger.png
+++ b/fern/images/ade_screenshot_tool_debugger.png
--- a/fern/images/ade_screenshot_tool_debugger_light.png
+++ b/fern/images/ade_screenshot_tool_debugger_light.png
--- a/fern/images/avatar_c_lowlatency.png
+++ b/fern/images/avatar_c_lowlatency.png
--- a/fern/images/avatar_c_lowlatency_b.png
+++ b/fern/images/avatar_c_lowlatency_b.png
--- a/fern/images/avatar_c_memgpt.png
+++ b/fern/images/avatar_c_memgpt.png
--- a/fern/images/avatar_c_memgpt_b.png
+++ b/fern/images/avatar_c_memgpt_b.png
--- a/fern/images/avatar_c_react.png
+++ b/fern/images/avatar_c_react.png
--- a/fern/images/avatar_c_react_b.png
+++ b/fern/images/avatar_c_react_b.png
--- a/fern/images/avatar_c_sleeptime.png
+++ b/fern/images/avatar_c_sleeptime.png
--- a/fern/images/avatar_c_sleeptime_b.png
+++ b/fern/images/avatar_c_sleeptime_b.png
--- a/fern/images/avatar_c_sworkflow.png
+++ b/fern/images/avatar_c_sworkflow.png
--- a/fern/images/avatar_c_sworkflow_b.png
+++ b/fern/images/avatar_c_sworkflow_b.png
--- a/fern/images/avatar_c_workflow.png
+++ b/fern/images/avatar_c_workflow.png
--- a/fern/images/avatar_c_workflow_b.png
+++ b/fern/images/avatar_c_workflow_b.png
--- a/fern/images/avatar_lowlatency.png
+++ b/fern/images/avatar_lowlatency.png
--- a/fern/images/avatar_lowlatency_b.png
+++ b/fern/images/avatar_lowlatency_b.png
--- a/fern/images/avatar_memgpt.png
+++ b/fern/images/avatar_memgpt.png
--- a/fern/images/avatar_memgpt_b.png
+++ b/fern/images/avatar_memgpt_b.png
--- a/fern/images/avatar_react.png
+++ b/fern/images/avatar_react.png
--- a/fern/images/avatar_react_b.png
+++ b/fern/images/avatar_react_b.png
--- a/fern/images/avatar_sleeptime.png
+++ b/fern/images/avatar_sleeptime.png
--- a/fern/images/avatar_sleeptime_b.png
+++ b/fern/images/avatar_sleeptime_b.png
--- a/fern/images/avatar_sworkflow.png
+++ b/fern/images/avatar_sworkflow.png
--- a/fern/images/avatar_sworkflow_b.png
+++ b/fern/images/avatar_sworkflow_b.png
--- a/fern/images/avatar_workflow.png
+++ b/fern/images/avatar_workflow.png
--- a/fern/images/avatar_workflow_b.png
+++ b/fern/images/avatar_workflow_b.png
--- a/fern/images/checks-passed.png
+++ b/fern/images/checks-passed.png
--- a/fern/images/clickhouse_config.png
+++ b/fern/images/clickhouse_config.png
--- a/fern/images/dlai_course_screenshot.png
+++ b/fern/images/dlai_course_screenshot.png
--- a/fern/images/dlai_source_screenshot_wide.png
+++ b/fern/images/dlai_source_screenshot_wide.png
--- a/fern/images/env_vars_button.png
+++ b/fern/images/env_vars_button.png
--- a/fern/images/hero-dark.svg
+++ b/fern/images/hero-dark.svg
@@ -0,0 +1,161 @@
+<svg width="700" height="320" viewBox="0 0 700 320" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g clip-path="url(#clip0_2862_30)">
+<rect width="700" height="320" rx="16" fill="url(#paint0_linear_2862_30)"/>
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--- a/fern/images/hero_dark.webp
+++ b/fern/images/hero_dark.webp
--- a/fern/images/hero_light.webp
+++ b/fern/images/hero_light.webp
--- a/fern/images/letta_cloud_agent_chat.png
+++ b/fern/images/letta_cloud_agent_chat.png
--- a/fern/images/letta_cloud_agents_list.png
+++ b/fern/images/letta_cloud_agents_list.png
--- a/Show More
+++ b/Show More