OrcaRouter AI Integration: Generate Chat Responses and Embeddings

What to Ask Leina to Do with OrcaRouter

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

Call the selected model with your messages.

Use OrcaRouter model [model ID] to answer these messages [messages], then summarize the returned response.

Create embeddings for supplied inputs using a chosen model.

Create embeddings with OrcaRouter model [embedding model ID] for [input texts] and return the vectors.

Connect Your Account

Connect using your OrcaRouter API Key.
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 →
Check the Result

Review the result and any changes in the connected app.

OrcaRouter exposes model listings, chat completions, Anthropic-format messages, and embeddings through your API key.

Generate a chat answer: Call the selected model with your messages.

Create Chat Completion
Generate text vectors: Create embeddings for supplied inputs using a chosen model.

Create Embeddings

View All 4 Actions

list_models returns models available through OrcaRouter.

create_message accepts model, max_tokens, and messages for the /messages endpoint.

The action returns embeddings; storing and indexing them requires a separate system.

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