brainy/src/augmentationPipeline.ts
David Snelling f7484a9467 feat: Simplify architecture with Cortex orchestrator and clear augmentation tiers
## Major Architecture Improvements

### Cortex Refactoring
- Renamed AugmentationPipeline → Cortex for clarity
- Cortex is now the central orchestrator (not an augmentation)
- NeuralImport remains as the AI-powered SENSE augmentation
- Clean brain metaphor: BrainyData → Cortex → Augmentations

### Four-Tier Augmentation System
1. **Built-in** (Free, MIT): Neural Import, basic storage, search
2. **Community** (Free, npm): Community-created augmentations
3. **Premium** ($49-299/mo): AI Memory, Agent Coordinator, Enterprise connectors
4. **Brain Cloud** ($19-99/mo): Managed service with all features

### Zero Configuration Philosophy
- Everything works out of the box - no config needed
- Automatic model detection and loading
- Seamless integration between tiers
- Brain Cloud connects with one command: `brainy cloud`

### Documentation Updates
- Added PHILOSOPHY.md outlining design principles
- Created AUGMENTATION_ARCHITECTURE.md with tier system
- Added CLI_AUGMENTATION_GUIDE.md for augmentation management
- Updated README to "sell first" with concrete use cases
- Improved documentation organization in /docs

### Developer Experience
- Backward compatibility maintained with exports
- Clean, simple API surface
- Interactive-by-default approach
- Premium features integrate seamlessly

### Removed
- Deleted demo directory and deploy workflow (moved to website)
- Removed test wrapper scripts (bash 2>&1 bug workaround)

This refactor makes Brainy incredibly powerful yet easy to use, with everything automated and no configuration required. The Brain Cloud augmentations (AI memory, sync, coordination) integrate seamlessly as our killer features.
2025-08-11 09:40:37 -07:00

869 lines
26 KiB
TypeScript

/**
* Cortex - The Brain's Orchestration System
*
* 🧠⚛️ The cerebral cortex that coordinates all augmentations
*
* This module provides the central coordination system for managing and executing
* augmentations across all categories. Like the brain's cortex, it orchestrates
* different capabilities (augmentations) in sequence or parallel.
*
* @deprecated AugmentationPipeline - Use Cortex instead
*/
import {
BrainyAugmentations,
IAugmentation,
IWebSocketSupport,
AugmentationResponse,
AugmentationType
} from './types/augmentations.js'
import { isThreadingAvailable, isBrowser, isNode } from './utils/environment.js'
import { executeInThread } from './utils/workerUtils.js'
/**
* Type definitions for the augmentation registry
*/
type AugmentationRegistry = {
sense: BrainyAugmentations.ISenseAugmentation[]
conduit: BrainyAugmentations.IConduitAugmentation[]
cognition: BrainyAugmentations.ICognitionAugmentation[]
memory: BrainyAugmentations.IMemoryAugmentation[]
perception: BrainyAugmentations.IPerceptionAugmentation[]
dialog: BrainyAugmentations.IDialogAugmentation[]
activation: BrainyAugmentations.IActivationAugmentation[]
webSocket: IWebSocketSupport[]
}
/**
* Execution mode for the pipeline
*/
export enum ExecutionMode {
SEQUENTIAL = 'sequential',
PARALLEL = 'parallel',
FIRST_SUCCESS = 'firstSuccess',
FIRST_RESULT = 'firstResult',
THREADED = 'threaded' // Execute in separate threads when available
}
/**
* Options for pipeline execution
*/
export interface PipelineOptions {
mode?: ExecutionMode
timeout?: number
stopOnError?: boolean
forceThreading?: boolean // Force threading even if not in THREADED mode
disableThreading?: boolean // Disable threading even if in THREADED mode
}
/**
* Default pipeline options
*/
const DEFAULT_PIPELINE_OPTIONS: PipelineOptions = {
mode: ExecutionMode.SEQUENTIAL,
timeout: 30000,
stopOnError: false,
forceThreading: false,
disableThreading: false
}
/**
* Cortex class - The Brain's Orchestration Center
*
* Manages all augmentations like the cerebral cortex coordinates different brain regions.
* This is the central pipeline that orchestrates all augmentation execution.
*/
export class Cortex {
private registry: AugmentationRegistry = {
sense: [],
conduit: [],
cognition: [],
memory: [],
perception: [],
dialog: [],
activation: [],
webSocket: []
}
/**
* Register an augmentation with the cortex
*
* @param augmentation The augmentation to register
* @returns The cortex instance for chaining
*/
public register<T extends IAugmentation>(
augmentation: T
): Cortex {
let registered = false
// Check for specific augmentation types
if (
this.isAugmentationType<BrainyAugmentations.ISenseAugmentation>(
augmentation,
'processRawData',
'listenToFeed'
)
) {
this.registry.sense.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.IConduitAugmentation>(
augmentation,
'establishConnection',
'readData',
'writeData',
'monitorStream'
)
) {
this.registry.conduit.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.ICognitionAugmentation>(
augmentation,
'reason',
'infer',
'executeLogic'
)
) {
this.registry.cognition.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.IMemoryAugmentation>(
augmentation,
'storeData',
'retrieveData',
'updateData',
'deleteData',
'listDataKeys'
)
) {
this.registry.memory.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.IPerceptionAugmentation>(
augmentation,
'interpret',
'organize',
'generateVisualization'
)
) {
this.registry.perception.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.IDialogAugmentation>(
augmentation,
'processUserInput',
'generateResponse',
'manageContext'
)
) {
this.registry.dialog.push(augmentation)
registered = true
} else if (
this.isAugmentationType<BrainyAugmentations.IActivationAugmentation>(
augmentation,
'triggerAction',
'generateOutput',
'interactExternal'
)
) {
this.registry.activation.push(augmentation)
registered = true
}
// Check if the augmentation supports WebSocket
if (
this.isAugmentationType<IWebSocketSupport>(
augmentation,
'connectWebSocket',
'sendWebSocketMessage',
'onWebSocketMessage',
'closeWebSocket'
)
) {
this.registry.webSocket.push(augmentation as IWebSocketSupport)
registered = true
}
// If the augmentation wasn't registered as any known type, throw an error
if (!registered) {
throw new Error(`Unknown augmentation type: ${augmentation.name}`)
}
return this
}
/**
* Unregister an augmentation from the pipeline
*
* @param augmentationName The name of the augmentation to unregister
* @returns The pipeline instance for chaining
*/
public unregister(augmentationName: string): Cortex {
let found = false
// Remove from all registries
for (const type in this.registry) {
const typedRegistry = this.registry[type as keyof AugmentationRegistry]
const index = typedRegistry.findIndex(
(aug) => aug.name === augmentationName
)
if (index !== -1) {
typedRegistry.splice(index, 1)
found = true
}
}
return this
}
/**
* Initialize all registered augmentations
*
* @returns A promise that resolves when all augmentations are initialized
*/
public async initialize(): Promise<void> {
const allAugmentations = this.getAllAugmentations()
await Promise.all(
allAugmentations.map((augmentation) =>
augmentation.initialize().catch((error) => {
console.error(
`Failed to initialize augmentation ${augmentation.name}:`,
error
)
})
)
)
}
/**
* Shut down all registered augmentations
*
* @returns A promise that resolves when all augmentations are shut down
*/
public async shutDown(): Promise<void> {
const allAugmentations = this.getAllAugmentations()
await Promise.all(
allAugmentations.map((augmentation) =>
augmentation.shutDown().catch((error) => {
console.error(
`Failed to shut down augmentation ${augmentation.name}:`,
error
)
})
)
)
}
/**
* Execute a sense pipeline
*
* @param method The method to execute on each sense augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeSensePipeline<
M extends keyof BrainyAugmentations.ISenseAugmentation & string,
R extends BrainyAugmentations.ISenseAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.ISenseAugmentation[M] extends (...args: any[]) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.ISenseAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.ISenseAugmentation,
M,
R
>(this.registry.sense, method, args, opts)
}
/**
* Execute a conduit pipeline
*
* @param method The method to execute on each conduit augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeConduitPipeline<
M extends keyof BrainyAugmentations.IConduitAugmentation & string,
R extends BrainyAugmentations.IConduitAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.IConduitAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.IConduitAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.IConduitAugmentation,
M,
R
>(this.registry.conduit, method, args, opts)
}
/**
* Execute a cognition pipeline
*
* @param method The method to execute on each cognition augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeCognitionPipeline<
M extends keyof BrainyAugmentations.ICognitionAugmentation & string,
R extends BrainyAugmentations.ICognitionAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.ICognitionAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.ICognitionAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.ICognitionAugmentation,
M,
R
>(this.registry.cognition, method, args, opts)
}
/**
* Execute a memory pipeline
*
* @param method The method to execute on each memory augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeMemoryPipeline<
M extends keyof BrainyAugmentations.IMemoryAugmentation & string,
R extends BrainyAugmentations.IMemoryAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.IMemoryAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.IMemoryAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.IMemoryAugmentation,
M,
R
>(this.registry.memory, method, args, opts)
}
/**
* Execute a perception pipeline
*
* @param method The method to execute on each perception augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executePerceptionPipeline<
M extends keyof BrainyAugmentations.IPerceptionAugmentation & string,
R extends BrainyAugmentations.IPerceptionAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.IPerceptionAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.IPerceptionAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.IPerceptionAugmentation,
M,
R
>(this.registry.perception, method, args, opts)
}
/**
* Execute a dialog pipeline
*
* @param method The method to execute on each dialog augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeDialogPipeline<
M extends keyof BrainyAugmentations.IDialogAugmentation & string,
R extends BrainyAugmentations.IDialogAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.IDialogAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.IDialogAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.IDialogAugmentation,
M,
R
>(this.registry.dialog, method, args, opts)
}
/**
* Execute an activation pipeline
*
* @param method The method to execute on each activation augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
public async executeActivationPipeline<
M extends keyof BrainyAugmentations.IActivationAugmentation & string,
R extends BrainyAugmentations.IActivationAugmentation[M] extends (
...args: any[]
) => AugmentationResponse<infer U>
? U
: never
>(
method: M &
(BrainyAugmentations.IActivationAugmentation[M] extends (
...args: any[]
) => any
? M
: never),
args: Parameters<
Extract<
BrainyAugmentations.IActivationAugmentation[M],
(...args: any[]) => any
>
>,
options: PipelineOptions = {}
): Promise<Promise<{ success: boolean; data: R; error?: string }>[]> {
const opts = { ...DEFAULT_PIPELINE_OPTIONS, ...options }
return this.executeTypedPipeline<
BrainyAugmentations.IActivationAugmentation,
M,
R
>(this.registry.activation, method, args, opts)
}
/**
* Get all registered augmentations
*
* @returns An array of all registered augmentations
*/
public getAllAugmentations(): IAugmentation[] {
// Create a Set to avoid duplicates (an augmentation might be in multiple registries)
const allAugmentations = new Set<IAugmentation>([
...this.registry.sense,
...this.registry.conduit,
...this.registry.cognition,
...this.registry.memory,
...this.registry.perception,
...this.registry.dialog,
...this.registry.activation,
...this.registry.webSocket
])
// Convert back to array
return Array.from(allAugmentations)
}
/**
* Get all augmentations of a specific type
*
* @param type The type of augmentation to get
* @returns An array of all augmentations of the specified type
*/
public getAugmentationsByType(type: AugmentationType): IAugmentation[] {
switch (type) {
case AugmentationType.SENSE:
return [...this.registry.sense]
case AugmentationType.CONDUIT:
return [...this.registry.conduit]
case AugmentationType.COGNITION:
return [...this.registry.cognition]
case AugmentationType.MEMORY:
return [...this.registry.memory]
case AugmentationType.PERCEPTION:
return [...this.registry.perception]
case AugmentationType.DIALOG:
return [...this.registry.dialog]
case AugmentationType.ACTIVATION:
return [...this.registry.activation]
case AugmentationType.WEBSOCKET:
return [...this.registry.webSocket]
default:
return []
}
}
/**
* Get all available augmentation types
*
* @returns An array of all augmentation types that have at least one registered augmentation
*/
public getAvailableAugmentationTypes(): AugmentationType[] {
const availableTypes: AugmentationType[] = []
if (this.registry.sense.length > 0)
availableTypes.push(AugmentationType.SENSE)
if (this.registry.conduit.length > 0)
availableTypes.push(AugmentationType.CONDUIT)
if (this.registry.cognition.length > 0)
availableTypes.push(AugmentationType.COGNITION)
if (this.registry.memory.length > 0)
availableTypes.push(AugmentationType.MEMORY)
if (this.registry.perception.length > 0)
availableTypes.push(AugmentationType.PERCEPTION)
if (this.registry.dialog.length > 0)
availableTypes.push(AugmentationType.DIALOG)
if (this.registry.activation.length > 0)
availableTypes.push(AugmentationType.ACTIVATION)
if (this.registry.webSocket.length > 0)
availableTypes.push(AugmentationType.WEBSOCKET)
return availableTypes
}
/**
* Get all WebSocket-supporting augmentations
*
* @returns An array of all augmentations that support WebSocket connections
*/
public getWebSocketAugmentations(): IWebSocketSupport[] {
return [...this.registry.webSocket]
}
/**
* Check if an augmentation is of a specific type
*
* @param augmentation The augmentation to check
* @param methods The methods that should be present on the augmentation
* @returns True if the augmentation is of the specified type
*/
private isAugmentationType<T extends IAugmentation>(
augmentation: IAugmentation,
...methods: (keyof T)[]
): augmentation is T {
// First check that the augmentation has all the required base methods
const baseMethodsExist = ['initialize', 'shutDown', 'getStatus'].every(
(method) => typeof (augmentation as any)[method] === 'function'
)
if (!baseMethodsExist) {
return false
}
// Then check that it has all the specific methods for this type
return methods.every(
(method) => typeof (augmentation as any)[method] === 'function'
)
}
/**
* Determines if threading should be used based on options and environment
*
* @param options The pipeline options
* @returns True if threading should be used, false otherwise
*/
private shouldUseThreading(options: PipelineOptions): boolean {
// If threading is explicitly disabled, don't use it
if (options.disableThreading) {
return false
}
// If threading is explicitly forced, use it if available
if (options.forceThreading) {
return isThreadingAvailable()
}
// If in THREADED mode, use threading if available
if (options.mode === ExecutionMode.THREADED) {
return isThreadingAvailable()
}
// Otherwise, don't use threading
return false
}
/**
* Execute a pipeline for a specific augmentation type
*
* @param augmentations The augmentations to execute
* @param method The method to execute on each augmentation
* @param args The arguments to pass to the method
* @param options The pipeline execution options
* @returns A promise that resolves with the results from all augmentations
*/
private async executeTypedPipeline<
T extends IAugmentation,
M extends keyof T & string,
R extends T[M] extends (...args: any[]) => AugmentationResponse<infer U>
? U
: never
>(
augmentations: T[],
method: M & (T[M] extends (...args: any[]) => any ? M : never),
args: Parameters<Extract<T[M], (...args: any[]) => any>>,
options: PipelineOptions
): Promise<
Promise<{
success: boolean
data: R
error?: string
}>[]
> {
// Filter out disabled augmentations
const enabledAugmentations = augmentations.filter(
(aug) => aug.enabled !== false
)
if (enabledAugmentations.length === 0) {
return []
}
// Create a function to execute the method on an augmentation
const executeMethod = async (
augmentation: T
): Promise<{
success: boolean
data: R
error?: string
}> => {
try {
// Create a timeout promise if a timeout is specified
const timeoutPromise = options.timeout
? new Promise<{
success: boolean
data: R
error?: string
}>((_, reject) => {
setTimeout(() => {
reject(
new Error(
`Timeout executing ${String(method)} on ${augmentation.name}`
)
)
}, options.timeout)
})
: null
// Check if threading should be used
const useThreading = this.shouldUseThreading(options)
// Execute the method on the augmentation, using threading if appropriate
let methodPromise: Promise<AugmentationResponse<R>>
if (useThreading) {
// Execute in a separate thread
try {
// Create a function that can be serialized and executed in a worker
const workerFn = (...workerArgs: any[]) => {
// This function will be stringified and executed in the worker
// It needs to be self-contained
const augFn = augmentation[method as string] as Function
return augFn.apply(augmentation, workerArgs)
}
methodPromise = executeInThread<AugmentationResponse<R>>(
workerFn.toString(),
args
)
} catch (threadError) {
console.warn(
`Failed to execute in thread, falling back to main thread: ${threadError}`
)
// Fall back to executing in the main thread
methodPromise = Promise.resolve(
(augmentation[method] as Function)(
...args
) as AugmentationResponse<R>
)
}
} else {
// Execute in the main thread
methodPromise = Promise.resolve(
(augmentation[method] as Function)(
...args
) as AugmentationResponse<R>
)
}
// Race the method promise against the timeout promise if a timeout is specified
const result = timeoutPromise
? await Promise.race([methodPromise, timeoutPromise])
: await methodPromise
return result
} catch (error) {
console.error(
`Error executing ${String(method)} on ${augmentation.name}:`,
error
)
return {
success: false,
data: null as unknown as R,
error: error instanceof Error ? error.message : String(error)
}
}
}
// Execute the pipeline based on the specified mode
switch (options.mode) {
case ExecutionMode.PARALLEL:
// Execute all augmentations in parallel
return enabledAugmentations.map(executeMethod)
case ExecutionMode.THREADED:
// Execute all augmentations in parallel with threading enabled
// Force threading for this mode
const threadedOptions = { ...options, forceThreading: true }
// Create a new executeMethod function that uses the threaded options
const executeMethodThreaded = async (augmentation: T) => {
// Save the original options
const originalOptions = options
// Set the options to the threaded options
options = threadedOptions
// Execute the method
const result = await executeMethod(augmentation)
// Restore the original options
options = originalOptions
return result
}
return enabledAugmentations.map(executeMethodThreaded)
case ExecutionMode.FIRST_SUCCESS:
// Execute augmentations sequentially until one succeeds
for (const augmentation of enabledAugmentations) {
const resultPromise = executeMethod(augmentation)
const result = await resultPromise
if (result.success) {
return [resultPromise]
}
}
return []
case ExecutionMode.FIRST_RESULT:
// Execute augmentations sequentially until one returns a result
for (const augmentation of enabledAugmentations) {
const resultPromise = executeMethod(augmentation)
const result = await resultPromise
if (result.success && result.data) {
return [resultPromise]
}
}
return []
case ExecutionMode.SEQUENTIAL:
default:
// Execute augmentations sequentially
const results: Promise<{
success: boolean
data: R
error?: string
}>[] = []
for (const augmentation of enabledAugmentations) {
const resultPromise = executeMethod(augmentation)
results.push(resultPromise)
// Check if we need to stop on error
if (options.stopOnError) {
const result = await resultPromise
if (!result.success) {
break
}
}
}
return results
}
}
}
// Create and export a default instance of the cortex
export const cortex = new Cortex()
// Backward compatibility exports
export const AugmentationPipeline = Cortex
export const augmentationPipeline = cortex