Cognigy Command Line Interface (CLI)
This is an unsupported alpha release. Please use with caution!
Cognigy-CLI is a series of tools meant to aid Cognigy.AI developers in maintaining local copies of their virtual agent projects.
The CLI can currently not create resources (other than Snapshots), but only edit existing resources.
Currently supported resources:
- Flows (clone, restore, push, pull, diff, train)
- Lexicons (clone, restore, push, pull, diff)
- Endpoints (clone, restore, push, pull, diff)
- Snapshots (create)
For Endpoints, Transformers will be separately stores as TypeScript files
Installation
Install globally
We recommend to install the Cognigy.AI CLI globally to use wherever you like. In order to so, perform the following step.
npm install -g @cognigy/cognigy-cli
Use locally
Alternatively you can use a local copy by performing the following steps:
- Clone the repo
- Run
npm ci
- Run
npm run build
- Run
node build/cognigy init
- (optional) Run
npm link
to enable runningcognigy
globally
Proxy Configuration
The Cognigy CLI will respect the HTTP_PROXY/http_proxy and HTTPS_PROXY/https_proxy and NO_PROXY/no_proxy environment variables.
If you're behind a proxy, you might need to configure NPM separately to use it. You can do that using the commands below.
npm config set proxy http://usr:pwd@proxy.company.com:8080
npm config set https-proxy http://usr:pwd@proxy.company.com:8080
Configuration
Configuration can be provided either as environment variables or inside a config.json file. The config.json can be created by executing cognigy init
.
The Cognigy.AI CLI needs the following configuration:
Key | Description | Environment Var |
---|---|---|
baseUrl | The base URL of your Cognigy.AI environment API | CAI_BASEURL |
apiKey | The Cognigy.AI API Key to use | CAI_APIKEY |
agent | The ID of your agent project | CAI_AGENT |
agentDir | The folder where you want to store the agent locally | CAI_AGENTDIR |
Both environment configuration and file-based configuration can be used together. Environment configuration takes priority.
Commands
General Commands
Help
To get help on any command, use the -h
flag.
cognigy -h
or cognigy <command> -h
Forcing configuration files
By default the CLI will use the ./config.json configuration file.
You can force the use of another configuration file by using the -c
flag.
cognigy <command> -c ./config2.json
or cognigy <command> --config ./config2.json
Forcing execution without warnings
By default the CLI will reconfirm if data is overwritten locally or on Cognigy.AI.
You can force these checks to be skipped with the -y
flag.
Example: cognigy clone -y
or cognigy clone --forceYes
Command: init
cognigy init
Initializes a new Cognigy.AI CLI project
Command: clone
cognigy clone
Clones a Virtual Agent from Cognigy.AI to disk
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--type | -t | String | agent |
Which type of resource to clone (agent stands for the full project) |
Command: restore
cognigy restore
Restores the local agent copy back into Cognigy.AI by executing a push
for every resource.
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--type | -t | String | agent |
Which type of resource to restore (agent stands for the full project) |
Command: pull
cognigy pull <resourceType> <resourceName>
Pulls a specific remote resource from Cognigy.AI
Command: push
cognigy push <resourceType> <resourceName>
Pushes a specific remote resource to Cognigy.AI
You can't create resources or agents by pushing. Resources must already exist on Cognigy.AI
For Flows, only Intents and Node configurations will be updated, not Flow structure
Command: diff
cognigy diff <resourceType> <resourceName>
Compares a local resource to a remote resource
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--mode | -m | String | full |
Full (full ) vs Node-by-Node (node ) comparison of the Flow |
Command: train
cognigy train <flowName>
Trains the NLU model of a specified Flow on Cognigy.AI
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--timeout | -t | Number | 10000 | Timeout in ms before training progress is no longer checked (training will continue on Cognigy.AI) |
Command: create
cognigy create snapshot <resourceName> [resourceDescription]
Creates a remote resource on Cognigy.AI and downloads it to disk.
Currently only snapshots can be created with
cognigy create snapshot snapname "My Description"
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--timeout | -t | Number | 100000 | Timeout in ms before the creation process is no longer checked (will continue on Cognigy.AI) |
--skipDownload | -s | Boolean | false | Skips download of created resource (for snapshots) |
Command: exportcsv
cognigy exportcsv flow <flowName>
Exports the content of a Flow to CSV.
This command will go through all Flows in all Locales and create a content.csv
file next to the JSON. This file can be used to update content.
Command: importcsv
cognigy importcsv flow <flowName>
Imports the content of a CSV back into a Flow.
This command will go through all Flows in all Locales and check if a valid content.csv
exists. If yes, it will go through the Flow Chart and update all localized Nodes with the content from the CSV.
Command: execute
cognigy execute <command>
Executes a command of the Cognigy REST API Client. For more information on API calls, please see our OpenAPI documentation.
Supports injecting payloads either through pipes or the -d (--data) option:
echo '{"flowId": "5f5618bce35138ed3ab9ab9a"}' | cognigy execute readFlow
cognigy execute readFlow -d '{"flowId": "5f5618bce35138ed3ab9ab9a"}'
This command uses the baseUrl
and apiKey
parameters of your configuration.
Option | Alias | Type | Default | Description |
---|---|---|---|---|
--list | -l | - | - | Lists all available commands |
--data | -d | string | - | Injects a data payload (must be in JSON format) |