Use AI for TextCortex Model Discovery and Chat Responses

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.

What to Ask Leina to Do with TextCortex

Copy a prompt, add your details, and send it to Leina in your connected team chat.

Choose a model and submit explicit role-based messages.

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.

Retrieve TextCortex model [model ID] and summarize its returned metadata before a chat request.

Get Started with TextCortex

  1. Connect Your Account

    Connect with a TextCortex API key.

  2. Try a Task

    Tell Leina what you need in your team chat. Include the source, destination, and expected result.

    Set Up Leina in Your Chat →
  3. Check the Result

    Review the result and any changes in the connected app.

Supported TextCortex Capabilities

TextCortex connects supported service operations to your AI assistant. Inspect available model metadata and submit non-streaming OpenAI-compatible chat messages.

Models

List available models and retrieve model metadata.

Chat

Create a non-streaming chat completion with supported response or tool settings.

View All 3 Actions
  • List Models
  • Retrieve Model
  • Create Chat Completion

Visit Provider Website ↗

Frequently Asked Questions

Can the action stream tokens?

The current action creates a non-streaming completion.

Does a tool call automatically run a tool?

No. Returned tool calls are model output for a caller to handle.

How do I choose a model?

List models and inspect the selected model metadata before sending messages.

Your AI employee for TextCortex

Tell Leina what you need in your team chat. Include the source, destination, and expected result.