Use LLMWhisperer from Claude Code
Bring LLMWhisperer context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in LLMWhisperer never means pasting credentials into a prompt.
Bring LLMWhisperer context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.
Connect LLMWhisperer once, then decide which teammates can use it for threads, automations, skills, and coding work.
Tool to convert PDF/scanned documents to text format for LLM consumption. Supports file upload or URL processing with multiple modes (native_text, low_cost, high_quality, form, table). Use when you need to extract text from documents for LLM processing. Returns whisper_hash for status checking and text retrieval.
Tool to get line metadata for highlighting extracted text in the original document. Returns bounding box coordinates (x, y, width, height) and page number for each line. Use when you need to create text overlays on document images or highlight specific lines in the source document.
Tool to register a new webhook endpoint for LLMWhisperer async notifications. Use when you need to set up a callback URL to receive processing results. The webhook URL is validated during registration to ensure it's reachable.
Tool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
Tool to retrieve usage statistics for your LLMWhisperer account based on a specific tag. Use when you need to check consumption metrics for a given tag and optional date range. Returns usage data for the preceding 30 days when date parameters are omitted.
LLMWhisperer by Unstract prepares complex documents for LLM consumption. Integrations can upload PDFs and documents, extract layout-preserving text, handle scanned or tabular content, retrieve processing status and results, and build document ingestion pipelines for RAG and automation.
Yes. Type lets an AI teammate use connected LLMWhisperer actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The LLMWhisperer catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
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