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Cheshire Cat AI API Client

API Client made in TypeScript to communicate with the Cheshire Cat AI.
The package provides a class to interface with the Cheshire Cat AI backend.
It can be used both in Browser and NodeJS environments.

Every endpoint is a CancelablePromise, which means you can cancel the request if you want.

Installation

npm i ccat-api
# OR
yarn add ccat-api
# OR
pnpm i ccat-api
# OR
bun i ccat-api

Getting started

To set up the client, you must first import the CatClient class:

import { CatClient } from 'ccat-api'

const cat = new CatClient({
    host: 'localhost',
    userId: 'user',
    //... other settings
})

cat.send('Hello from a user!') // this will send a message to the /ws/user

cat.userId = 'new_user'

cat.send('Hello from a new user!') // this will send a message to the /ws/new_user

Client settings

CCAT_API_KEY, CCAT_CORE_HOST, CCAT_CORE_PORT and CCAT_CORE_USE_SECURE_PROTOCOLS refer to the CCAT Core .env file.

Property Type Default Description
host string Required The same of CCAT_CORE_HOST
credential string undefined The same of CCAT_API_KEY or the JWT token
port number 1865 The same of the CCAT_CORE_PORT
secure boolean false The same of the CCAT_CORE_USE_SECURE_PROTOCOLS
user string 'user' The user ID to use for the WebSocket and the API client
instant boolean true Instantly initialize the WebSocket and the API client, or later with .init()
timeout number 10000 Timeout for the endpoints, in milliseconds
ws string undefined An object of type WebSocketSettings

WebSocket settings

Property Type Default Description
retries number 3 The maximum number of retries before calling onFailed
delay number 3000 The delay for reconnect, in milliseconds
onFailed function undefined The function to call after failing all the retries

Then, for example, you can configure the LLM like this:

cat.api.llm.upsertLlmSetting('LLMOpenAIConfig', {
    openai_api_key: 'OPEN_API_KEY'
})

To send a message to the cat, you can:

cat.send('Hello my friend!')

You can listen to the WebSocket events:

cat.onConnected(() => {
    console.log('Socket connected')
}).onMessage(msg => {
    console.log(msg)
}).onError((err, e) => {
    console.error(err, e)
}).onDisconnected(() => {
    console.log('Socket disconnected')
})

For example, you can get the list of plugins like this:

cat.api.plugins.listAvailablePlugins().then(plugins => {
    console.log(plugins)
})

Credits

Made for the Cheshire Cat AI organization.

This was possible thanks to openapi-typescript-codegen.

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API Client to communicate with the Cheshire Cat AI

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