Summarize a customer conversation
Read a selected customer’s messages and extract unresolved requests.
/oo Landbot: Find customer [email] in Landbot, read the history for customer [chosen ID], and summarize their requests and unanswered questions.
Ask AI to summarize a customer’s message history and identify questions that still need an answer.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read a selected customer’s messages and extract unresolved requests.
/oo Landbot: Find customer [email] in Landbot, read the history for customer [chosen ID], and summarize their requests and unanswered questions.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect the Landbot Agent Token from account settings.
Connect Landbot →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
The integration reads channels and customers, retrieves message histories, sends text through the current channel, and sets typed customer fields.
Find channels and customers, read messages, send text, and set custom fields.
List channels in a Landbot workspace with optional pagination and filters.
landbot.list_channels List Landbot customers with pagination and optional channel or search filters.
landbot.list_customers Fetch the message history for a Landbot customer.
landbot.get_customer_messages Send a text message to a Landbot customer through their current channel.
landbot.send_text Set a typed custom field value on a Landbot customer.
landbot.set_customer_field No matching tools.
Search customers using a chosen field or filter by channel, then use the numeric customer ID.
Yes. Specify the customer ID and exact text to send through their current channel. The result confirms request acceptance.
Provide the customer ID, field name, field type, and value.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.