ccat-api
v0.11.3
Published
API Client to communicate with the Cheshire Cat AI
Downloads
424
Maintainers
Readme
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.