LLMWhisperer for your voice agent
LLMWhisperer makes complex document data accessible to language models. It helps LLMs accurately interpret and process structured information.
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Integration record
- Status
- Available
- Plan
- Every plan, from Starter at A$49 a month
- How it connects
- With an API key. You create a key in LLMWhisperer and paste it on a secure page in Connected apps.
- What it reads
- 7 actions, such as get Highlights Metadata, get Usage Information and get Usage Statistics.
- What it changes
- 4 actions, such as convert Document to Text (v2), register Webhook and update Webhook Configuration.
- What starts an action
- The agent runs an action during a call or chat when the conversation needs it. It only runs the actions you switch on.
- Custom work
- You choose each action from its list of 11. Anything the list doesn't cover needs a custom API tool on Scale, or a Concierge build.
- Checked
- Action list checked 14 November 2026. We haven't tested each action.
LLMWhisperer actions
Reads 7
- Get Highlights Metadata
- Get Usage Information
- Get Usage Statistics
- Get Webhook Details
- Check Whisper Status
- Get Whisper Detail
- Retrieve Whisper Text
Changes 3
- Convert Document to Text (v2)
- Register Webhook
- Update Webhook Configuration
Deletes 1
- Delete Webhook
LLMWhisperer setup
Pasting a LLMWhisperer API key
Create an API key in LLMWhisperer, choose LLMWhisperer in Connected apps and paste the key on the secure page.
Choosing the actions
Choose which of the 11 actions the agent may use. Start with lookups and add the ones that change LLMWhisperer when you're ready.
Testing, then publishing
Watch the agent use the live app in the browser tester, then publish. Voice and text agents share the connection.
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