Find Relevant Knowledge Records
Search a specified dataset and summarize returned matches.
/oo ChatBotKit: Search knowledge dataset [dataset] for [question]. Summarize relevant matches and keep available source references.
Check what your bot knows and preserve the answers your team approves.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Search a specified dataset and summarize returned matches.
/oo ChatBotKit: Search knowledge dataset [dataset] for [question]. Summarize relevant matches and keep available source references.
Read an identified conversation and its messages.
/oo ChatBotKit: Review conversation [conversation ID]. Summarize the discussion and questions that remain unanswered.
Store supplied text in a chosen dataset.
/oo ChatBotKit: Add this knowledge to dataset [dataset]: [approved text].
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect a ChatBotKit API key.
Connect ChatBotKit →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Read conversations, search and maintain knowledge records, and manage supported bots, datasets, and files.
Inspect datasets, search their records, and add supplied text.
Read messages or request the next reply in an identified conversation.
Fetch account-wide ChatBotKit usage statistics for tokens, conversations, messages, and database resources.
chatbotkit.fetch_usage List ChatBotKit bots with optional pagination and metadata filtering.
chatbotkit.list_bots Fetch a single ChatBotKit bot by ID.
chatbotkit.fetch_bot Create a new ChatBotKit bot.
chatbotkit.create_bot Update an existing ChatBotKit bot.
chatbotkit.update_bot List ChatBotKit conversations with optional pagination and metadata filtering.
chatbotkit.list_conversations Fetch a single ChatBotKit conversation by ID.
chatbotkit.fetch_conversation Create a new ChatBotKit conversation with either a bot reference or inline bot configuration.
chatbotkit.create_conversation List messages inside a ChatBotKit conversation.
chatbotkit.list_conversation_messages Append a message to an existing ChatBotKit conversation.
chatbotkit.create_conversation_message Send a message to a ChatBotKit conversation and receive the next assistant reply.
chatbotkit.complete_conversation List ChatBotKit datasets with optional pagination and metadata filtering.
chatbotkit.list_datasets Fetch a single ChatBotKit dataset by ID.
chatbotkit.fetch_dataset Create a new ChatBotKit dataset for knowledge retrieval.
chatbotkit.create_dataset Update an existing ChatBotKit dataset.
chatbotkit.update_dataset List records inside a ChatBotKit dataset.
chatbotkit.list_dataset_records Create a new record inside a ChatBotKit dataset.
chatbotkit.create_dataset_record Run semantic search against a ChatBotKit dataset.
chatbotkit.search_dataset List ChatBotKit files with optional pagination and metadata filtering.
chatbotkit.list_files Fetch a single ChatBotKit file by ID.
chatbotkit.fetch_file Create a new ChatBotKit file resource.
chatbotkit.create_file Upload content to an existing ChatBotKit file using the official JSON upload modes.
chatbotkit.upload_file Fetch the download URL for an existing ChatBotKit file.
chatbotkit.download_file Trigger synchronization for an existing ChatBotKit file.
chatbotkit.sync_file List files attached to a ChatBotKit dataset.
chatbotkit.list_dataset_files Attach an existing ChatBotKit file to a dataset.
chatbotkit.attach_dataset_file Detach a ChatBotKit file from a dataset.
chatbotkit.detach_dataset_file No matching tools.
It returns relevant matches. Ask for a record inventory when you need to review everything stored in a dataset.
No. Saving a knowledge record and replying in a conversation are separate tasks.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.