v0.6.72: tables improvements, search and replace, logs with files, impersonation fixes, md rendering, doc/pdf/pptx generation improvements

Author: waleedlatif1

.github/workflows/test-build.yml

@@ -44,11 +44,13 @@ jobs:
           key: ${{ github.repository }}-turbo-cache
           path: ./.turbo
 
-      - name: Mount Next.js build cache (Sticky Disk)
-        uses: useblacksmith/stickydisk@v1
+      - name: Restore Next.js build cache
+        uses: actions/cache@v5
         with:
-          key: ${{ github.repository }}-nextjs-cache
           path: ./apps/sim/.next/cache
+          key: ${{ runner.os }}-nextjs-${{ hashFiles('bun.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-nextjs-
 
       - name: Install dependencies
         run: bun install --frozen-lockfile

apps/docs/components/icons.tsx

@@ -895,6 +895,24 @@ export function YouTubeIcon(props: React.SVGProps<SVGSVGElement>) {
   )
 }
 
+export function PeopleDataLabsIcon(props: SVGProps<SVGSVGElement>) {
+  return (
+    <svg
+      width='1em'
+      height='1em'
+      viewBox='0 0 99.92 90.06'
+      xmlns='http://www.w3.org/2000/svg'
+      {...props}
+    >
+      <path
+        fill='currentColor'
+        fillRule='evenodd'
+        d='M99.91,57.77l-3.2-24.4c0-.7-.4-1.3-.8-1.8l-20-21.3c-.5-.5-1.1-.8-1.8-1L29.21.07c-1.1-.2-2.2,0-2.9.8L1.01,24.07c-.9.8-1.2,2-.9,3.1l6,23.4c.3,1.2,1.3,2.1,2.5,2.4l9.9,2,11.3,6.6h0l11.9,6.5,14.9,20.6c.8,1.1,2.2,1.6,3.5,1.3l8.1-1.9c1.4-.3,2.5-1.6,2.5-3l.3-6.8,27.4-17.4c1.1-.7,1.6-1.9,1.5-3.1ZM90.31,35.17l2.1,16.3-40.2-26.8,20.4-8.4,17.7,18.8v.1ZM31.11,7.17l31.2,6.3-18.4,7.5h0l-16.8,7.3s4-21.1,4-21.1ZM12.01,47.07l-5-19.6,16.5-15.1-3.9,20.7c-.3,1.4.4,2.7,1.6,3.4l30.1,16.6-31-4.4-8.3-1.7v.1ZM60.81,83.17l-14-19.4c-.3-.4-.7-.7-1.1-1l-9.8-5.4,29,4.1-.4,14.7-.2,6-3.5.8v.2ZM83.01,62.97l-11.7,7.4.3-11.5c0-1.2-.6-2.3-1.7-2.9l-39.8-21.9,14.8-6.4,45.7,30.4-7.7,4.9h.1Z'
+      />
+    </svg>
+  )
+}
+
 export function PerplexityIcon(props: SVGProps<SVGSVGElement>) {
   return (
     <svg width='1em' height='1em' viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg' {...props}>

apps/docs/components/ui/icon-mapping.ts

@@ -135,6 +135,7 @@ import {
   PackageSearchIcon,
   PagerDutyIcon,
   ParallelIcon,
+  PeopleDataLabsIcon,
   PerplexityIcon,
   PineconeIcon,
   PipedriveIcon,
@@ -351,6 +352,7 @@ export const blockTypeToIconMap: Record<string, IconComponent> = {
   outlook: OutlookIcon,
   pagerduty: PagerDutyIcon,
   parallel_ai: ParallelIcon,
+  peopledatalabs: PeopleDataLabsIcon,
   perplexity: PerplexityIcon,
   pinecone: PineconeIcon,
   pipedrive: PipedriveIcon,

apps/docs/content/docs/en/keyboard-shortcuts/index.mdx

@@ -31,10 +31,12 @@ Speed up your workflow building with these keyboard shortcuts and mouse controls
 | `Mod` + `Z` | Undo |
 | `Mod` + `Shift` + `Z` | Redo |
 | `Mod` + `C` | Copy selected blocks |
+| `Mod` + `X` | Cut selected blocks |
 | `Mod` + `V` | Paste blocks |
 | `Delete` or `Backspace` | Delete selected blocks or edges |
 | `Shift` + `L` | Auto-layout canvas |
 | `Mod` + `Shift` + `F` | Fit to view |
+| `Mod` + `F` | Open workflow search and replace |
 | `Mod` + `Shift` + `Enter` | Accept Copilot changes |
 
 ## Panel Navigation
@@ -43,7 +45,7 @@ These shortcuts switch between panel tabs on the right side of the canvas.
 
 | Shortcut | Action |
 |----------|--------|
-| `Mod` + `F` | Focus Toolbar search |
+| `Mod` + `Alt` + `F` | Focus Toolbar search |
 
 ## Global Navigation
 

apps/docs/content/docs/en/tools/apollo.mdx

@@ -1,5 +1,5 @@
 ---
-title: Hunter io
+title: Hunter.io
 description: Find and verify professional email addresses
 ---
 
@@ -53,11 +53,16 @@ Returns companies matching a set of criteria using Hunter.io AI-powered search.
 | Parameter | Type | Description |
 | --------- | ---- | ----------- |
 | `results` | array | List of companies matching the search criteria |
+|   ↳ `name` | string | Company name |
 |   ↳ `domain` | string | Company domain |
-|   ↳ `name` | string | Company/organization name |
-|   ↳ `headcount` | number | Company size/headcount |
-|   ↳ `technologies` | array | Technologies used by the company |
-|   ↳ `email_count` | number | Total number of email addresses found |
+|   ↳ `logo` | string | URL of the company logo |
+|   ↳ `linkedin_url` | string | LinkedIn profile URL of the company |
+|   ↳ `company_type` | string | Company type \(e.g., privately held, public company\) |
+|   ↳ `industry` | string | Industry of the company |
+|   ↳ `size` | string | Headcount range of the company |
+|   ↳ `location` | string | Headquarters location |
+|   ↳ `founded_year` | number | Year the company was founded |
+|   ↳ `crunchbase_url` | string | Crunchbase URL of the company |
 
 ### `hunter_domain_search`
 
@@ -86,8 +91,9 @@ Returns all the email addresses found using one given domain name, with sources.
 |   ↳ `first_name` | string | Person's first name |
 |   ↳ `last_name` | string | Person's last name |
 |   ↳ `position` | string | Job title/position |
+|   ↳ `position_raw` | string | Raw job title as found |
 |   ↳ `seniority` | string | Seniority level \(junior, senior, executive\) |
-|   ↳ `department` | string | Department \(executive, it, finance, management, sales, legal, support, hr, marketing, communication\) |
+|   ↳ `department` | string | Department \(executive, it, finance, management, sales, legal, support, hr, marketing, communication, education, design, health, operations\) |
 |   ↳ `linkedin` | string | LinkedIn profile URL |
 |   ↳ `twitter` | string | Twitter handle |
 |   ↳ `phone_number` | string | Phone number |
@@ -106,19 +112,7 @@ Returns all the email addresses found using one given domain name, with sources.
 | `accept_all` | boolean | Whether the server accepts all email addresses \(may cause false positives\) |
 | `pattern` | string | The email pattern used by the organization \(e.g., \{first\}, \{first\}.\{last\}\) |
 | `organization` | string | The organization/company name |
-| `description` | string | Description of the organization |
-| `industry` | string | Industry classification of the organization |
-| `twitter` | string | Twitter handle of the organization |
-| `facebook` | string | Facebook page URL of the organization |
-| `linkedin` | string | LinkedIn company page URL |
-| `instagram` | string | Instagram profile of the organization |
-| `youtube` | string | YouTube channel of the organization |
-| `technologies` | array | Technologies used by the organization |
-| `country` | string | Country where the organization is headquartered |
-| `state` | string | State/province where the organization is located |
-| `city` | string | City where the organization is located |
-| `postal_code` | string | Postal code of the organization |
-| `street` | string | Street address of the organization |
+| `linked_domains` | array | Other domains linked to the organization |
 
 ### `hunter_email_finder`
 
@@ -147,8 +141,17 @@ Finds the most likely email address for a person given their name and company do
 | `verification` | object | Email verification information |
 |   ↳ `date` | string | Date when the email was verified \(YYYY-MM-DD\) |
 |   ↳ `status` | string | Verification status \(valid, invalid, accept_all, webmail, disposable, unknown\) |
+| `first_name` | string | Person's first name |
+| `last_name` | string | Person's last name |
 | `email` | string | The found email address |
 | `score` | number | Confidence score \(0-100\) for the found email address |
+| `domain` | string | Domain that was searched |
+| `accept_all` | boolean | Whether the server accepts all email addresses \(may cause false positives\) |
+| `position` | string | Job title/position |
+| `twitter` | string | Twitter handle |
+| `linkedin_url` | string | LinkedIn profile URL |
+| `phone_number` | string | Phone number |
+| `company` | string | Company name |
 
 ### `hunter_email_verifier`
 
@@ -200,15 +203,24 @@ Enriches company data using domain name.
 
 | Parameter | Type | Description |
 | --------- | ---- | ----------- |
-| `company` | object | Company information |
-|   ↳ `name` | string | Company name |
-|   ↳ `domain` | string | Company domain |
-|   ↳ `industry` | string | Industry classification |
-|   ↳ `size` | string | Company size/headcount range |
-|   ↳ `country` | string | Country where the company is located |
-|   ↳ `linkedin` | string | LinkedIn company page URL |
-|   ↳ `twitter` | string | Twitter handle |
-| `person` | object | Person information \(undefined for companies_find tool\) |
+| `name` | string | Company name |
+| `domain` | string | Company domain |
+| `description` | string | Company description |
+| `industry` | string | Industry classification |
+| `sector` | string | Business sector |
+| `size` | string | Employee headcount range \(e.g., "11-50"\) |
+| `founded_year` | number | Year founded |
+| `location` | string | Headquarters location \(formatted\) |
+| `country` | string | Country \(full name\) |
+| `country_code` | string | ISO 3166-1 alpha-2 country code |
+| `state` | string | State/province |
+| `city` | string | City |
+| `linkedin` | string | LinkedIn handle \(e.g., company/hunterio\) |
+| `twitter` | string | Twitter handle |
+| `facebook` | string | Facebook handle |
+| `logo` | string | Company logo URL |
+| `phone` | string | Company phone number |
+| `tech` | array | Technologies used by the company |
 
 ### `hunter_email_count`
 

apps/docs/content/docs/en/tools/hunter.mdx

@@ -60,6 +60,7 @@ Search for similar content in a knowledge base using vector similarity
 | `results` | array | Array of search results from the knowledge base |
 |   ↳ `documentId` | string | Document ID |
 |   ↳ `documentName` | string | Document name |
+|   ↳ `sourceUrl` | string | URL to the original source document \(e.g., Confluence page, Google Doc, Notion page\). Null for documents without an external source. |
 |   ↳ `content` | string | Content of the result |
 |   ↳ `chunkIndex` | number | Index of the chunk within the document |
 |   ↳ `similarity` | number | Similarity score of the result |

apps/docs/content/docs/en/tools/knowledge.mdx

@@ -131,6 +131,7 @@
     "outlook",
     "pagerduty",
     "parallel_ai",
+    "peopledatalabs",
     "perplexity",
     "pinecone",
     "pipedrive",

apps/docs/content/docs/en/tools/meta.json

@@ -0,0 +1,70 @@
+---
+title: People Data Labs
+description: Enrich and search people and companies
+---
+
+import { BlockInfoCard } from "@/components/ui/block-info-card"
+
+<BlockInfoCard 
+  type="peopledatalabs"
+  color="#4831C3"
+/>
+
+{/* MANUAL-CONTENT-START:intro */}
+## Description
+
+[People Data Labs](https://www.peopledatalabs.com/) is a person and company data provider with a global dataset of 3B+ person profiles and 25M+ company records. The Sim block exposes the core REST endpoints so agents can enrich a single contact, look up a company, or run dataset-wide search queries.
+
+Use this block to:
+- **Person Enrich** — resolve a single person by email, phone, LinkedIn URL, or name + company/location, and pull back their work history, contact info, and skills.
+- **Person Search** — run SQL or Elasticsearch DSL queries against the person dataset to build prospect lists or audience segments.
+- **Company Enrich** — resolve a single company by name, website, ticker, LinkedIn URL, or PDL ID, and pull back firmographics.
+- **Company Search** — query the company dataset with SQL or Elasticsearch DSL.
+- **Autocomplete** — get suggested values for fields like `title`, `skill`, `industry`, or `location` to build well-formed search queries.
+
+Authentication uses an API key passed as the `X-Api-Key` header. Get a key from the [PDL dashboard](https://dashboard.peopledatalabs.com/).
+{/* MANUAL-CONTENT-END */}
+
+
+## Usage Instructions
+
+Enrich a single person or company with People Data Labs, or search the global person and company datasets with SQL or Elasticsearch DSL. Useful for sales enrichment, contact lookup, and CRM hygiene.
+
+
+
+## Tools
+
+### `pdl_person_enrich`
+
+
+### `pdl_person_identify`
+
+
+### `pdl_person_search`
+
+
+### `pdl_bulk_person_enrich`
+
+
+### `pdl_company_enrich`
+
+
+### `pdl_company_search`
+
+
+### `pdl_bulk_company_enrich`
+
+
+### `pdl_clean_company`
+
+
+### `pdl_clean_location`
+
+
+### `pdl_clean_school`
+
+
+### `pdl_autocomplete`
+
+
+