extract_document
Submit a document for text extraction. Accepts a document URL and converts it into LLM-optimized text using various extraction modes (native text, OCR, form, table). Returns a whisper hash that can be used to check status and retrieve results. For large or complex documents, processing is asynchronous — use **Get Extraction Status** to poll for completion and **Retrieve Extraction** to get the text.
get_extraction_status
Check the processing status of a document extraction job. Use the whisper hash returned from **Extract Document** to poll for completion. Possible statuses: "accepted" (queued), "processing" (in progress), "processed" (ready to retrieve), "error" (failed), "retrieved" (already retrieved).
get_usage_info
Retrieve account usage metrics including page counts, quotas, and subscription plan details. Useful for monitoring consumption and quota limits.
get_highlights
Retrieve bounding box coordinates for extracted text lines. Use this to highlight or locate specific lines in the original document. Requires that the extraction was performed with `addLineNos` enabled.
manage_webhook
Register, update, retrieve, or delete a webhook for receiving document extraction completion notifications. Webhooks are referenced by name in extraction requests via the `useWebhook` parameter. When registering, LLMWhisperer sends a test payload to verify the URL is functioning — ensure the endpoint returns a 200 status code.
retrieve_extraction
Retrieve the extracted text from a completed document extraction job. Use the whisper hash from **Extract Document** after the status is "processed". Returns the full extracted text along with confidence and document metadata.
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Create, read, update, and delete pages, blog posts, comments, and attachments in Confluence spaces. Manage spaces, permissions, labels, and content restrictions. Search content using Confluence Query Language (CQL). Upload and download file attachments with versioning. Manage users, groups, and group memberships. Create and manage whiteboards, databases, folders, and templates. View and update inline tasks. Access audit logs. Listen for webhooks on page, blog, comment, attachment, space, label, and user events.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Extract and convert complex documents — PDFs, scanned images, Office documents, and spreadsheets — into LLM-optimized text. Submit documents via file upload or URL with multiple extraction modes: native text, low-cost OCR, high-quality OCR, form extraction, and table extraction. Preserve document layout or extract plain text. Configure image preprocessing (median filter, Gaussian blur) to improve OCR quality. Select specific pages for extraction. Check extraction status for async processing and retrieve results when ready. Get line-level bounding box metadata for text highlighting and search. Register webhooks for extraction completion notifications. Track API usage metrics by processing mode and tag.
Common questions about connecting Llmwhisperer to AI agents with Metorial.
