// Primary Stream Message Writer
async function writeStreamMessage(
 dataStream: DataStream | undefined,
 message: StreamMessage
): Promise<void>

// Specialized Message Writers
async function writeStreamError(
 dataStream: DataStream | undefined,
 error: Error | string,
 correlationId?: string
): Promise<void>

async function writeStreamWarning(
 dataStream: DataStream | undefined,
 message: string,
 detail?: string,
 metadata?: object,
 correlationId?: string
): Promise<void>

// Tool Execution Streaming
async function writeStreamToolUse(
 dataStream: DataStream | undefined,
 toolUse: ToolUseMessage,
 executionState?: ExecutionState,
 correlationId?: string
): Promise<void>

// Generation Streaming
async function writeStreamGeneration(
 dataStream: DataStream | undefined,
 generation: GenerationMessage & { purpose?: string },
 executionState?: ExecutionState,
 correlationId?: string
): Promise<void>

// Chain-of-Thought Streaming
async function writeStreamThinking(
 dataStream: DataStream | undefined,
 text: string,
 executionState?: ExecutionState,
 correlationId?: string
): Promise<void>

// Stream Manager Creation
class GenericStreamManager {
 constructor(config: PipelineStreamConfig)

 // Pipeline Lifecycle
 async pipelineStart(): Promise<void>
 async pipelineComplete(result: any): Promise<void>
 async pipelineError(error: Error): Promise<void>

 // Phase Management
 async phaseStart(phase: EngiPhase): Promise<void>
 async phaseComplete(phase: EngiPhase, result?: any): Promise<void>

 // Agent Coordination
 async agentStart(agentName: string, step?: string): Promise<void>
 async agentProgress(agentName: string, progress: string, metadata?: any): Promise<void>
 async agentComplete(agentName: string, result: any, confidence?: number): Promise<void>
}

interface StreamMessage {
 type: 'generation' | 'tool-use' | 'error' | 'completion' | 'thinking';
 executionState?: ExecutionState;
 progress?: 'in-progress' | 'success' | 'warning' | 'error';
 message: string;
 detail?: string;
 result?: any;
 duration?: number;
 correlationId?: string;
 timestamp?: string;
 metadata?: object;
}

interface ExecutionState {
 phase: ExecutionPhase; // 'Setup' | 'Discovery' | 'Implementation' | 'Validation' | 'Finish'
 agent?: string;
 step?: ExecutionStep; // 'Plan' | 'Try' | 'Refine' | 'Retry'
 failsafe?: FailsafeStep; // 'prepare_concise_context' | 'chunk_then_sum' | 'stitch_until_complete'
 generation?: GenerationStep; // 'reason' | 'judge' | 'structured_output'
}

interface PipelineStreamConfig {
 pipeline: Pipeline;
 subtype?: PipelineSubType;
 correlationId: string;
 dataStream?: DataStream;
 metadata?: Record<string, any>;
}

// Automatic Pipeline Streaming
const streamManager = StreamFactory.createStreamManager({
 pipeline: Pipeline.DELIVERABLE,
 subtype: PipelineSubType.CODE_ANALYSIS,
 correlationId: runId,
 dataStream: response.dataStream
});

await streamManager.pipelineStart();
await streamManager.phaseStart(EngiPhase.IMPLEMENTATION);
await streamManager.agentStart('CodeAnalyzer', 'Try');
// ... pipeline execution
await streamManager.agentComplete('CodeAnalyzer', result);
await streamManager.pipelineComplete(finalResult);

// Automatic Tool Streaming
async function executeTool(toolName: string, args: any): Promise<any> {
 await writeStreamToolUse(dataStream, {
 toolName,
 args,
 duration: 0
 }, executionState, correlationId);

 const startTime = Date.now();
 try {
 const result = await actualToolExecution(toolName, args);
 const duration = Date.now() - startTime;

 await writeStreamToolUse(dataStream, {
 toolName,
 args,
 result,
 duration
 }, executionState, correlationId);

 return result;
 } catch (error) {
 await writeStreamToolUse(dataStream, {
 toolName,
 args,
 error: error.message,
 duration: Date.now() - startTime
 }, executionState, correlationId);
 throw error;
 }
}

// Comprehensive Generation Streaming
async function streamedLLMCall(model: string, messages: any[]): Promise<any> {
 await writeStreamGeneration(dataStream, {
 model,
 input: messages,
 purpose: 'code-analysis'
 }, executionState, correlationId);

 try {
 const response = await generateText({ model, messages });

 await writeStreamGeneration(dataStream, {
 model,
 input: messages,
 output: response.text,
 tokens: response.usage,
 purpose: 'code-analysis'
 }, executionState, correlationId);

 return response;
 } catch (error) {
 await writeStreamGeneration(dataStream, {
 model,
 input: messages,
 error: error.message,
 purpose: 'code-analysis'
 }, executionState, correlationId);
 throw error;
 }
}

// Automatic Stream Tracking
class AgentExecutor {
 private streamManager: GenericStreamManager;

 @StreamTracked(StreamEventType.AGENT_START)
 async analyzeCode(codeInput: string): Promise<AnalysisResult> {
 // Method automatically tracked
 return await performAnalysis(codeInput);
 }

 @StreamTracked(StreamEventType.TOOL_INVOKE)
 async executeTool(toolName: string, args: any): Promise<any> {
 // Tool execution automatically streamed
 return await toolRegistry.execute(toolName, args);
 }
}

// Real-Time Stream Analytics
const analytics = streamManager.getAnalytics();
console.log({
 pipeline: analytics.pipeline,
 duration: analytics.duration,
 phaseHistory: analytics.phaseHistory,
 eventCount: analytics.eventCount
});

// Automatic Message Persistence
try {
 await supabaseAdmin.from('stream_logs').insert({
 run_id: correlationId,
 type: message.type,
 progress: message.progress,
 message: message.message,
 detail: message.detail,
 result: message.result,
 metadata: message.metadata,
 ts: message.timestamp
 });
} catch (err) {
 log('Failed to persist stream message', 'warn', { err });
}

enum StreamEventType {
 PIPELINE_START = 'pipeline-start',
 PIPELINE_COMPLETE = 'pipeline-complete',
 PIPELINE_ERROR = 'pipeline-error',

 PHASE_START = 'phase-start',
 PHASE_COMPLETE = 'phase-complete',
 PHASE_ERROR = 'phase-error',

 AGENT_START = 'agent-start',
 AGENT_COMPLETE = 'agent-complete',
 AGENT_PROGRESS = 'agent-progress',

 TOOL_INVOKE = 'tool-invoke',
 TOOL_RESULT = 'tool-result',
 TOOL_ERROR = 'tool-error',

 INTELLIGENCE_UPDATE = 'intelligence-update',
 CONFIDENCE_UPDATE = 'confidence-update'
}