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React Native Intelligence Service

Functions​

isModelFilesDownloaded​

IntelligenceService.isModelFilesDownloaded(
    name: string
)

Checks whether model files for the given model name are already downloaded.

Parameters:

  • name: String — Model name (Orchestrator → Managed AI Models → Programmatic name)

unloadModel​

IntelligenceService.unloadModel(
    key: string
)

Unloads the model for the given session key and releases memory.

Parameters:

  • key: string — Session key from loadModel.

stopModelInference​

IntelligenceService.stopModelInference(
    key: string
)

Requests cancellation of generation for the given session key.

Parameters:

  • key: string — Session key.

isModelLoaded​

IntelligenceService.isModelLoaded(
    key: string
)

Returns whether a model is loaded for the given session key.

Parameters:

  • key: string — Session key.

loadModel​

IntelligenceService.loadModel(
    name: string,
    key: string,
    modelParams?: ModelParams
)

Loads the specified model into memory with optional parameters. Use key as the session identifier for invoke, unload, and stop.

Parameters:

  • name: String — Model name (Orchestrator → Managed AI Models → Programmatic name)
  • key: string — Session key for this load.
  • modelParams?: ModelParams — Optional model configuration.

downloadModelFiles​

IntelligenceService.downloadModelFiles(
    name: string
)

Downloads model files for the given model. Resolves when the download completes.

Parameters:

  • name: String — Model name (Orchestrator → Managed AI Models → Programmatic name)

deleteModelFiles​

IntelligenceService.deleteModelFiles(
    name: string
)

Deletes all downloaded local files for the given model.

Parameters:

  • name: String — Model name (Orchestrator → Managed AI Models → Programmatic name)

getDownloadedModelsList​

IntelligenceService.getDownloadedModelsList(): Promise

Returns the list of model names whose files are downloaded locally.

Parameters: None.

invokeModel​

IntelligenceService.invokeModel(
    key: string,
    prompts: Prompt[],
    inferenceParams?: InferenceParams,
    onStream?: (chunk: string) => void
)

Sends prompts to the model and returns the generated output. When onStream is provided, stream chunks are delivered via DeviceEventEmitter; events are keyed by the same key passed to this method.

Parameters:

  • key: string — Session key from loadModel (not the catalog model name).
  • prompts: Prompt[] — Array of messages.
  • inferenceParams?: InferenceParams — Optional inference settings.
  • onStream?: (string) → void — Optional partial — output stream callback.

syncManagedAIModels​

IntelligenceService.syncManagedAIModels(): Promise

Synchronizes the list of managed AI models with the Orchestrator.

Parameters: None.

getManagedAIModels​

IntelligenceService.getManagedAIModels(): Promise

Retrieves all managed AI models stored locally.

Parameters: None.

getManagedAIModel​

IntelligenceService.getManagedAIModel(
    name: string
)

Retrieves a specific managed AI model by name.

Parameters:

  • name: string — Model name (Orchestrator → Managed AI Models → Programmatic name).

syncRules​

IntelligenceService.syncRules(): Promise

Synchronizes rule definitions with the Orchestrator.

Parameters: None.

getRules​

IntelligenceService.getRules(): Promise

Returns all stored rules.

Parameters: None.

getRule​

IntelligenceService.getRule(
    name: string
)

Retrieves a rule by its name.

Parameters:

  • name: string — Rule name.

runRule​

IntelligenceService.runRule(
    name: string
)

Evaluates a rule and returns its updated state.

Parameters:

  • name: string — Rule name.

runRules​

IntelligenceService.runRules(
    onlyOnInit: boolean
)

Evaluates multiple rules at once.

Parameters:

  • onlyOnInit: boolean — If true, only initialization rules run.

Classes​

InferenceParams​

export interface InferenceParams {
    temperature?: number;
    maxTokens?: number;
    topP?: number;
    topK?: number;
}

ModelParams​

export interface ModelParams {
    nCtx?: number;
    nThreads?: number;
    nGpuLayers?: number;
    nBatchSize?: number;
}

ManagedAIModel​

export interface ManagedAIModel {
    id: string;
    name?: string;
    text?: string;
    description?: string;
    downloadUrl?: string;
    imageUrl?: string;
    thinking?: boolean;
    vendor?: string;
    multimodal?: boolean;
}

Rule​

export interface Rule {
    id: string;
    name: string;
    text?: string;
    trigger?: string;
    condition: any;
    action: any;
}

Action​

{
    type: string;
    config?: ActionConfig | null;
}

ActionConfig​

{
    id: string;
    script?: Script | null;
    event?: string | null;
    title?: string | null;
    message?: string | null;
}

Criteria​

{
    field: string;
    criteriaOperator: string;
    value: string;
}

Filter​

{
    type?: string | null;
    filters?: Filter[] | null;
    filter?: Filter | null;
    criteria?: Criteria | null;
}

Prompt​

export interface Prompt {
    role: 'system' | 'user' | 'assistant';
    content: string;
}