Investigate a logged request
Retrieve a logged request by its known ID.
/oo PromptLayer: Get PromptLayer request [request ID] and summarize returned input, output, and execution metadata.
Ask your AI assistant to work with PromptLayer: review logged requests and prompt templates.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Retrieve a logged request by its known ID.
/oo PromptLayer: Get PromptLayer request [request ID] and summarize returned input, output, and execution metadata.
Read a template by its name or ID.
/oo PromptLayer: Get PromptLayer template [template name or ID] and explain its returned variables and prompt structure.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect using your PromptLayer API Key.
Connect PromptLayer →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
PromptLayer read actions expose logged request details, prompt templates, and table sheet rows for your AI assistant.
Retrieve a logged request by its known ID.
Read a template by its name or ID.
Retrieve a logged PromptLayer request by request ID.
promptlayer.get_request List PromptLayer prompt templates in the authenticated workspace.
promptlayer.list_prompt_templates Retrieve a PromptLayer prompt template by name or ID.
promptlayer.get_prompt_template List PromptLayer Tables in the authenticated workspace.
promptlayer.list_tables List sheets for a PromptLayer Table.
promptlayer.list_table_sheets List rows for a PromptLayer Table sheet.
promptlayer.list_table_sheet_rows No matching tools.
The exposed actions read records and templates; model execution is not exposed.
list_table_sheet_rows reads a known tableId and sheetId.
The action set lists and retrieves templates, without template-writing operations.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.