Extensions provide a powerful way to augment the capabilities of the system by exporting blocks to the block manager. These blocks are loaded on startup, enabling you to create custom components and patches. In this guide, we'll outline how to use extensions to create and export components.
Follow Creating Components with the Composition API , you can use the composition API from the mercs_rete
library to create components. First, make sure to import the necessary modules:
import { OAIBaseComponent, WorkerContext, OmniComponentMacroTypes, Composer } from 'mercs_rete';
Then, you can create components and patches using methods provided by OAIBaseComponent
.
Example:
let component = OAIBaseComponent
.create(NS_ONMI, "redactPll")
.fromScratch()
.set('title', 'PII Redaction')
.set('category', 'Compliance')
.set('description', 'Redact Personal Information from text')
.setMethod('X-CUSTOM')
.setMeta({
source: 'summary',
summary: 'A PII redactor built using the solvvy/redact-pii library, implementing regex based PII reduction along with support for Google Cloud',
links: {
'What is PII?': 'https://www.cloudflare.com/learning/privacy/what-is-pii/',
'redact-pii github': 'https://github.com/solvvy/redact-pii',
'google cloud DLP': 'https://cloud.google.com/d1pr',
'Solvy': 'https://www.solvvy.com/'
}
});
Follow Creating Components with the Composition API , you can also define and add inputs/outpus to the component:
const inputs = [
{ name: 'text', type: 'string', description: 'A string', customSocket: 'text' },
// More input definitions...
{ name: 'usSocialSecurityNumber', type: 'boolean', default: true }
];
inputs.forEach(({ name, type, customSocket, description, default: defaultValue }) => {
component.addInput(
component.createInput(name, type, customSocket)
.set('description', description)
.setDefault(defaultValue)
.toOmniIO()
);
});
To prevent any errors from being thrown and to avoid bundling mercs_shared
, which the server already has, you'll need to externalize mercs_rete
. You can do this by adding --external:mercs_rete
to the ESBuild in your package.json
. This step ensures a smooth building process (because it already is loaded in server memory, no need to bundle it).
Add the supports: ["blocks:v2"]
property to the extension.yaml
to tell the server to try to load the blocks:
supports:
- "blocks:v2"
An extension must export an object containing hooks and a createComponents()
function. Once you have defined your components and patches, combine them into an array and return them within the createComponents()
function as described. The system will automatically load these during startup, incorporating them into the available set of components.
export default {
hooks: extensionHooks,
createComponents: () => {
blocks: [ /*array of OmniComponentFormat*/ ],
patches: [ /*array of OmniComponentPatch*/ ]
}
}
After making all the necessary updates to your extension code, run the following command to build the extension:
yarn build
This command compiles your code and generates the extension.js
file, which contains the entire extension ready for use. If you are using TypeScript for your extension development, make sure to update the tsconfig.json
file with the appropriate configuration for your project.
By following these steps, you can create complex and customizable components and integrate them into the system via extensions. Make sure to follow the guidelines for each type of component or patch and consult the specific documentation related to each class or method for more details.
Import the necessary components
Instantiate the ComponentComposer and initialize your component by defining its namespace and operationId using the .create(displayNamespace, displayOperationId) method.
Set the namespace to const NS_OMNI
Further define the characteristics of your component using provided methods. You can set the title, description, method, and category.
Instead of using the fromScratch()
method, you can also utilize the fromJSON()
method with a valid Partial<OmniComponentFormat>
JSON. This must include both the displayNamespace/operationID
and apiNamespace/operationId
.
For inputs and outputs, you'll first create an IOComposer
using the .createInput(name, type, customSocket)
or .createOutput(name, type, customSocket)
methods. You can further define their properties, including setting up controls which can be automatically selected or overridden.
Inputs always have controls associated with them, and they can be defined directly within the input creation process. Here's an example of defining an input with a control:
Note:
When using .allowMultiple()
in conjunction with { array: true }
, the input array is flattened into a single array:
You can define which characters are used for joining (or separating on input) an array (default is \n) via a custom setting (specific to the Text Socket):
Alternatively, you can also define inputs and outputs in an array:
You also have the option to directly write the JSON if that's your preference.
Controls are created using the ControlComposer
and are added similarly to inputs/outputs.
Or
You can define the behavior of your component using a macro. In this case, the OmniComponentMacroTypes.EXEC
macro type is used.
Finally, convert the component to JSON and export it.
Note: extensions don’t need to call addBlock
. they just need to export the createComponent
function.
To compose a patch with a valid OmniComponentPatch
, the same format applies:
Use .dependsOn(string[])
to specify dependencies, indicating if a block relies on other blocks (for instance, when using runblock
internally). For example:
import { OAIBaseComponent, type OmniComponentFormat, WorkerContext, OmniComponentMacroTypes } from "./path_to_file"
const NS_OMNI = 'your_namespace'
let component = OAIBaseComponent.create(NS_OMNI, 'your_operationId')
component
.fromScratch()
.set('description', 'Your description')
.set('title', 'Your title')
.set('category', 'Your category')
.setMethod('Your Method')
.setMeta({
source: {
summary: 'A standard text input component with built-in URL fetching, enabling it to be connected to File (Image/Audio/Document) sockets',
authors: ['Mercenaries.ai Team'],
links: {
'Mercenaries.ai': 'https://mercenaries.ai'
}
}
})
const partialComponentFormat: Partial < OmniComponentFormat > = {
displayNamespace: 'your_display_namespace',
displayOperationId: 'your_display_operationId',
apiNamespace: 'your_api_namespace',
apiOperationId: 'your_api_operationId',
// other properties can be added as needed
};
component.fromJSON(partialComponentFormat)
const input = component.addInput(
component.createInput('input_name', 'input_type', 'input_x-type')
.set('title', 'Input title')
.set('description', 'Input description')
.setDefault('default value')
.setConstraints(min value, max value)
.setChoice([])
.setRequired(true)
.allowMultiple(true) // enable an input to accept multiple connections.
.setControl({
controlType: 'alpine control type'
}) // Override the automatically selected control
.toOmniIO()
);
component.createInput('input_name', 'input_type', 'input_x-type', {array:true})
{array: true, customSettings: {array_separator = '-------' }};
const inputs = [
{ name: 'text', type: 'string', description: 'A string', customSocket: 'text' },
// More input definitions...
{ name: 'usSocialSecurityNumber', type: 'boolean', default: true }
];
inputs.forEach(({ name, type, customSocket, description, default: defaultValue }) => {
component.addInput(
component.createInput(name, type, customSocket)
.set('description', description)
.setDefault(defaultValue)
.toOmniIO()
);
});
let controlComposer = component.createControl('controlName')
component
.addControl(
controlComposer
.setRequired(true)
.setControlType('alpineControlType')
.toOmniControl()
);
component.addControl(
component
.createControl("controlName")
.setRequired(true)
.setControlType("alpineControlType")
.toOmniControl()
);
component.setMacro(OmniComponentMacroTypes.EXEC, (payload: any, ctx: WorkerContext) => {
// define your function here
})
const YourComponent = component.toJSON()
export default YourComponent
app.blocks.addBlock(component)
let patch= OAIBaseComponent
.createPatch(NS_ONMI, "text_replace")
.fromComponent(apiNamespace, apiOperationId)
....
.toJSON() //<-- OmnicomponentPatch
app.blocks.addPatch(patch)
component.dependsOn(['automatic1111.interrogateapi_sdapi_v1_interrogate_post', 'automatic1111.simpleImage2Image']);
Locate the API Specification: Determine if the API specification exists at a known URL. For example, OpenAI's specification can be found at https://raw.githubusercontent.com/openai/openai-openapi/master/openapi.yaml
.
Validate the Specification: Use https://editor.swagger.io/
to validate the OpenAPI spec.
Add to System:
Navigate to packages/omni-server/extensions/omni-core-blocks/server/apis/[NAMESPACE]/[NAMESPACE].yaml
.
Replace [NAMESPACE]
with your desired namespace (e.g., openai
).
Update the api
section as below.
namespace: openai
api:
url: https://raw.githubusercontent.com/openai/openai-openapi/master/openapi.yaml
basePath: https://api.openai.com/v1
componentType: OAIComponent31
...
Generate Draft Spec: If the specification doesn't exist, use tools like "OpenAPI Spec Generator" or request ChatGPT 4 to draft an initial spec.
Validate the Specification: Use https://editor.swagger.io/
to validate the OpenAPI spec.
Add to System:
Go to packages/omni-server/extensions/omni-core-blocks/server/apis/[NAMESPACE]/api/[NAMESPACE].yaml
.
Replace [NAMESPACE]
with your desired namespace (e.g., getimg
).
Update the api
section as below.
namespace: getimg
api:
spec: ./api/getimg.yaml
basePath: https://api.getimg.ai
title: getimg
We support the following authentication type:
http_basic' | 'http_bearer' | 'apiKey' | 'oauth2
If auth is not defined globally in the original OpenAPI spec, you can patch it in the API yaml /omni-core-blocks/server/apis/[NAMESPACE].yaml
namespace: elevenlabs
api:
url: https://api.elevenlabs.io/openapi.json
basePath: https://api.elevenlabs.io
auth:
type: apiKey
requireKeys:
- id: xi-api-key
displayName: xi-api-key
type: string
in: header
title: elevenlabs
namespace: openai
api:
url: https://raw.githubusercontent.com/openai/openai-openapi/master/openapi.yaml
basePath: https://api.openai.com/v1
componentType: OAIComponent31
auth:
filter:
operationIds:
- createChatCompletion
- createCompletion
- createImage
- createModeration
- createTranscription
- createTranslation
- createImageVariation
- createImageEdit
- createEdit
- listModels
- createEmbedding
title: openai
category: Text-to-Speech
description: >-
Text to Speech Synthesis using the ElevenLabs API, supporting a variety of
monolingual (english) and multilingual voices.
meta:
source:
title: 'ElevenLabs: Text To Speech'
links:
Website: https://beta.elevenlabs.io/speech-synthesis
Subscription: https://beta.elevenlabs.io/subscription
API Reference: https://docs.elevenlabs.io/api-reference/quick-start/introduction
Documentation: https://docs.elevenlabs.io/welcome/introduction
Voice Lab: https://beta.elevenlabs.io/voice-lab
summary: >-
Text to Speech Synthesis using the ElevenLabs API, supporting a variety of
monolingual (english) and multilingual voices.
title: Text To Speech
apiNamespace: elevenlabs
apiOperationId: Text_to_speech_v1_text_to_speech__voice_id__post
displayNamespace: elevenlabs
displayOperationId: simpletts
scripts:
hideExcept:inputs:
- prompt
- temperature
- model
- top_p
- seed
- max_tokens
- instruction
- images
hideExcept:outputs:
- text
scripts:
transform:inputs:
transform:outputs:
scripts:
hoist:input
controls:
preview:
type: AlpineImageGalleryComponent
displays: output:image
opts:
readonly: true
placeholder?
type:
customSocket:
image:
customSocket: image
Base64 image socket option:
socketOpts:
format: base64
socketOpts:
format: base64_withHeader
Array:
socketOpts:
array: true
Allow multiple connect
allowMultiple: true
inputs:
'n':
title: Number of Images
model:
type: string
customSocket: text
choices:
block: getimg.listModels
cache: global
args:
pipeline: face-fix
family: enhancements
map:
title: name
value: id
messages:
scripts:
jsonata: >-
[{"role":"system", "content": $string(instruction) }, {"role":"user",
"content": $string(prompt) }]
delete:
- prompt
- instruction
hidden: true
securitySchemes
how to patch when response doesn't have property?
outputs:
_omni_result:
hidden: true
When properties have mutually exclusive or dependencies
image_strength:
scripts:
jsonata: >
$exists(init_image_mode) and init_image_mode = "IMAGE_STRENGTH" ? image_strength : undefined
step_schedule_end:
scripts:
jsonata: >
$exists(init_image_mode) and init_image_mode = "STEP_SCHEDULE" ? step_schedule_end : undefined
step_schedule_start:
scripts:
jsonata: >
$exists(init_image_mode) and init_image_mode = "STEP_SCHEDULE" ? step_schedule_start : undefined
Property name is Case-sensitive
Accept:
hidden: true
default: application/json
Organization:
hidden: true
When request content type is multipart/form-data, need file type to carry mimetype
image:
customSocket: file