Check Whisper Status
Tool to check the status of a text extraction process in LLMWhisperer. Use when the conversion is done in async mode to poll for completion status.
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Integrate LLMWhisperer
with your AI CRM
LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.
Explore Triggers and Actions
Convert Document to Text (v2)
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.
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Delete Webhook
Tool to delete a registered webhook from LLMWhisperer system. Use when you need to remove a webhook that is no longer needed.
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Get Highlights Metadata
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.
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Get Usage Information
Tool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
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Get Usage Statistics
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.
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Get Webhook Details
Tool to retrieve registered webhook details for LLMWhisperer. Use when you need to get the configuration of a specific webhook including its URL and authentication token.
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Get Whisper Detail
Tool to retrieve comprehensive details about ongoing or completed text extraction process. Use when you need to monitor the status and progress metrics of a text extraction job.
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Register Webhook
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.
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Retrieve Whisper Text
Tool to retrieve extracted text from asynchronous whisper processing. Use when the conversion process was initiated in async mode and you need to retrieve the results using the whisper_hash identifier. Note that retrieval is single-use for security - once retrieved, the same whisper_hash cannot be used again.
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Update Webhook Configuration
Tool to update an existing webhook configuration for document conversion callbacks. Use when you need to modify the callback URL, authentication token, or webhook identifier. The system validates the webhook by sending a test payload and requires a 200 status response.
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How the LLMWhisperer integration works
The LLMWhisperer integration connects your Dench AI CRM directly to LLMWhisperer, so agents can read and act on your LLMWhisperer data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
11 actions are available for agents to invoke on your behalf. Every call runs through LLMWhisperer's own authorization, scoped to the account you connect.
Set up LLMWhisperer in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find LLMWhisperer and click Connect — you'll authorize access through LLMWhisperer's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use LLMWhisperer in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the LLMWhisperer integration work with Dench?
The Dench LLMWhisperer integration connects your AI CRM to LLMWhisperer, so AI agents can work with your LLMWhisperer data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with LLMWhisperer via Dench?
The LLMWhisperer integration currently exposes 11 actions, including Check Whisper Status, Convert Document to Text (v2), Delete Webhook, Get Highlights Metadata, Get Usage Information, and Get Usage Statistics. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect LLMWhisperer to Dench?
No. You connect LLMWhisperer from your Dench workspace using LLMWhisperer's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the LLMWhisperer integration secure?
Connections are authorized through LLMWhisperer's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the LLMWhisperer connection from your workspace settings at any time.