Ask a Selected Model
Choose a model and submit explicit role-based messages.
/oo TextCortex: List TextCortex models, then create a chat completion with model [model ID] and messages [role/content messages] to explain [topic].
Inspect available model metadata and submit non-streaming OpenAI-compatible chat messages. Ask your connected AI assistant to explain the results or carry out the specified operation.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Choose a model and submit explicit role-based messages.
/oo TextCortex: List TextCortex models, then create a chat completion with model [model ID] and messages [role/content messages] to explain [topic].
Read model metadata before choosing generation settings.
/oo TextCortex: Retrieve TextCortex model [model ID] and summarize its returned metadata before a chat request.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a TextCortex API key.
Connect TextCortex →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
TextCortex connects supported service operations to your AI assistant. Inspect available model metadata and submit non-streaming OpenAI-compatible chat messages.
List available models and retrieve model metadata.
Create a non-streaming chat completion with supported response or tool settings.
List TextCortex models available to the API key.
textcortex.list_models Retrieve metadata for one TextCortex model by model id.
textcortex.retrieve_model Create a non-streaming OpenAI-compatible chat completion with TextCortex.
textcortex.create_chat_completion No matching tools.
The current action creates a non-streaming completion.
No. Returned tool calls are model output for a caller to handle.
List models and inspect the selected model metadata before sending messages.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.