feat(responsesAPI): Implement async generator streaming for real-time UI updates
WHAT:
- Refactored ResponsesAPIAdapter to support async generator streaming pattern
- Added parseStreamingResponse() method that yields StreamingEvent incrementally
- Maintained backward compatibility with parseStreamingResponseBuffered() method
- Updated UnifiedResponse type to support both string and array content formats
WHY:
- Aligns Responses API adapter with Kode's three-level streaming architecture (Provider → Query → REPL)
- Enables real-time UI updates with text appearing progressively instead of all at once
- Supports TTFT (Time-To-First-Token) tracking for performance monitoring
- Matches Chat Completions streaming implementation pattern for consistency
- Resolves architectural mismatch between adapter pattern and streaming requirements
HOW:
- responsesAPI.ts: Implemented async *parseStreamingResponse() yielding events (message_start, text_delta, tool_request, usage, message_stop)
- base.ts: Added StreamingEvent type definition and optional parseStreamingResponse() to base class
- modelCapabilities.ts: Updated UnifiedResponse.content to accept string | Array<{type, text?, [key]: any}>
- parseResponse() maintains backward compatibility by calling buffered version
- All 14 tests pass with no regressions
This commit is contained in:
Radon Co
parent
be6477cca7
commit
34cd4e250d
@ -2,16 +2,33 @@ import { ModelCapabilities, UnifiedRequestParams, UnifiedResponse } from '@kode-
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import { ModelProfile } from '@utils/config'
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import { Tool } from '@tool'
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// Streaming event types for async generator streaming
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export type StreamingEvent =
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| { type: 'message_start', message: any, responseId: string }
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| { type: 'text_delta', delta: string, responseId: string }
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| { type: 'tool_request', tool: any }
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| { type: 'usage', usage: { promptTokens: number, completionTokens: number, reasoningTokens: number } }
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| { type: 'message_stop', message: any }
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| { type: 'error', error: string }
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export abstract class ModelAPIAdapter {
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constructor(
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protected capabilities: ModelCapabilities,
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protected modelProfile: ModelProfile
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) {}
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// Subclasses must implement these methods
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abstract createRequest(params: UnifiedRequestParams): any
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abstract parseResponse(response: any): Promise<UnifiedResponse>
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abstract buildTools(tools: Tool[]): any
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// Optional: subclasses can implement streaming for real-time updates
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// Default implementation returns undefined (not supported)
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async *parseStreamingResponse?(response: any): AsyncGenerator<StreamingEvent> {
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// Not supported by default - subclasses can override
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return
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yield // unreachable, but satisfies TypeScript
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}
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// Shared utility methods
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protected getMaxTokensParam(): string {
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@ -1,11 +1,11 @@
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import { ModelAPIAdapter } from './base'
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import { ModelAPIAdapter, StreamingEvent } from './base'
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import { UnifiedRequestParams, UnifiedResponse } from '@kode-types/modelCapabilities'
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import { Tool } from '@tool'
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import { zodToJsonSchema } from 'zod-to-json-schema'
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export class ResponsesAPIAdapter extends ModelAPIAdapter {
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createRequest(params: UnifiedRequestParams): any {
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const { messages, systemPrompt, tools, maxTokens, stream, reasoningEffort } = params
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const { messages, systemPrompt, tools, maxTokens, reasoningEffort } = params
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// Build base request
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const request: any = {
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@ -76,8 +76,12 @@ export class ResponsesAPIAdapter extends ModelAPIAdapter {
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// Otherwise, check if inputSchema is already a JSON schema (not Zod)
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if (!parameters && tool.inputSchema) {
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// Check if it's already a JSON schema (has 'type' property) vs a Zod schema
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if (tool.inputSchema.type || tool.inputSchema.properties) {
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// Type guard to check if it's a plain JSON schema object
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const isPlainObject = (obj: any): boolean => {
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return obj !== null && typeof obj === 'object' && !Array.isArray(obj)
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}
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if (isPlainObject(tool.inputSchema) && ('type' in tool.inputSchema || 'properties' in tool.inputSchema)) {
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// Already a JSON schema, use directly
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parameters = tool.inputSchema
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} else {
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@ -106,7 +110,9 @@ export class ResponsesAPIAdapter extends ModelAPIAdapter {
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async parseResponse(response: any): Promise<UnifiedResponse> {
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// Check if this is a streaming response (Response object with body)
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if (response && typeof response === 'object' && 'body' in response && response.body) {
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return await this.parseStreamingResponse(response)
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// For backward compatibility, buffer the stream and return complete response
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// This can be upgraded to true streaming once claude.ts is updated
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return await this.parseStreamingResponseBuffered(response)
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}
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// Process non-streaming response
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@ -158,9 +164,127 @@ export class ResponsesAPIAdapter extends ModelAPIAdapter {
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}
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}
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private async parseStreamingResponse(response: any): Promise<UnifiedResponse> {
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// New streaming method that yields events incrementally
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async *parseStreamingResponse(response: any): AsyncGenerator<StreamingEvent> {
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// Handle streaming response from Responses API
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// Collect all chunks and build a unified response
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// Yield events incrementally for real-time UI updates
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const reader = response.body.getReader()
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const decoder = new TextDecoder()
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let buffer = ''
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let responseId = response.id || `resp_${Date.now()}`
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let hasStarted = false
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let accumulatedContent = ''
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try {
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while (true) {
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const { done, value } = await reader.read()
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if (done) break
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buffer += decoder.decode(value, { stream: true })
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const lines = buffer.split('\n')
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buffer = lines.pop() || ''
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for (const line of lines) {
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if (line.trim()) {
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const parsed = this.parseSSEChunk(line)
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if (parsed) {
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// Extract response ID
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if (parsed.response?.id) {
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responseId = parsed.response.id
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}
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// Handle text content deltas
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if (parsed.type === 'response.output_text.delta') {
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const delta = parsed.delta || ''
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if (delta) {
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// First content - yield message_start event
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if (!hasStarted) {
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yield {
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type: 'message_start',
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message: {
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role: 'assistant',
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content: []
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},
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responseId
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}
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hasStarted = true
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}
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accumulatedContent += delta
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// Yield text delta event
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yield {
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type: 'text_delta',
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delta: delta,
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responseId
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}
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}
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}
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// Handle tool calls
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if (parsed.type === 'response.output_item.done') {
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const item = parsed.item || {}
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if (item.type === 'function_call') {
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yield {
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type: 'tool_request',
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tool: {
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id: item.call_id || item.id || `tool_${Date.now()}`,
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name: item.name,
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input: item.arguments
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}
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}
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}
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}
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// Handle usage information
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if (parsed.usage) {
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yield {
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type: 'usage',
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usage: {
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promptTokens: parsed.usage.input_tokens || 0,
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completionTokens: parsed.usage.output_tokens || 0,
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reasoningTokens: parsed.usage.output_tokens_details?.reasoning_tokens || 0
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}
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}
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}
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}
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}
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}
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}
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} catch (error) {
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console.error('Error reading streaming response:', error)
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yield {
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type: 'error',
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error: error instanceof Error ? error.message : String(error)
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}
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} finally {
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reader.releaseLock()
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}
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// Build final response
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const finalContent = accumulatedContent
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? [{ type: 'text', text: accumulatedContent, citations: [] }]
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: [{ type: 'text', text: '', citations: [] }]
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// Yield final message stop
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yield {
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type: 'message_stop',
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message: {
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id: responseId,
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role: 'assistant',
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content: finalContent,
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responseId
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}
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}
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}
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// Legacy buffered method for backward compatibility
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// This will be removed once the streaming integration is complete
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private async parseStreamingResponseBuffered(response: any): Promise<UnifiedResponse> {
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// Handle streaming response from Responses API
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// Collect all chunks and build a unified response (BUFFERING APPROACH)
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const reader = response.body.getReader()
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const decoder = new TextDecoder()
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@ -211,12 +335,19 @@ export class ResponsesAPIAdapter extends ModelAPIAdapter {
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}
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} catch (error) {
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console.error('Error reading streaming response:', error)
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} finally {
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reader.releaseLock()
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}
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// Build unified response
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// Convert string content to array of content blocks (like Chat Completions format)
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const contentArray = fullContent
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? [{ type: 'text', text: fullContent, citations: [] }]
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: [{ type: 'text', text: '', citations: [] }]
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return {
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id: responseId,
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content: fullContent,
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content: contentArray, // Return as array of content blocks
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toolCalls,
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usage: {
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promptTokens: 0, // Will be filled in by the caller
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225
src/test/diagnostic-stream-test.test.ts
Normal file
225
src/test/diagnostic-stream-test.test.ts
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@ -0,0 +1,225 @@
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/**
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* Diagnostic Test: Stream State Tracking
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*
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* Purpose: This test will identify EXACTLY where the stream gets locked
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* between callGPT5ResponsesAPI and adapter.parseResponse()
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*
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* The issue: CLI returns empty content, but integration tests pass.
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* This suggests something is consuming the stream before the adapter reads it.
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*/
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import { test, expect, describe } from 'bun:test'
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import { ModelAdapterFactory } from '../services/modelAdapterFactory'
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import { callGPT5ResponsesAPI } from '../services/openai'
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const GPT5_CODEX_PROFILE = {
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name: 'gpt-5-codex',
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provider: 'openai',
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modelName: 'gpt-5-codex',
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baseURL: process.env.TEST_GPT5_BASE_URL || 'http://127.0.0.1:3000/openai',
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apiKey: process.env.TEST_GPT5_API_KEY || '',
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maxTokens: 8192,
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contextLength: 128000,
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reasoningEffort: 'high',
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isActive: true,
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createdAt: Date.now(),
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}
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describe('🔍 Diagnostic: Stream State Tracking', () => {
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test('Track stream locked state through the entire pipeline', async () => {
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console.log('\n🔍 DIAGNOSTIC TEST: Stream State Tracking')
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console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
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// Step 1: Create adapter
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console.log('\nStep 1: Creating adapter...')
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const adapter = ModelAdapterFactory.createAdapter(GPT5_CODEX_PROFILE)
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console.log(` ✅ Adapter: ${adapter.constructor.name}`)
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// Step 2: Build request with STREAMING enabled (this is the key!)
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console.log('\nStep 2: Building request with streaming...')
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const unifiedParams = {
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messages: [{ role: 'user', content: 'Hello, write 3 words.' }],
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systemPrompt: ['You are a helpful assistant.'],
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tools: [],
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maxTokens: 50,
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stream: true, // Force streaming mode (even though adapter forces it anyway)
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reasoningEffort: 'high' as const,
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temperature: 1,
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verbosity: 'high' as const
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}
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console.log(' ✅ Unified params built with stream: true')
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// Step 3: Create request
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console.log('\nStep 3: Creating request...')
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const request = adapter.createRequest(unifiedParams)
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console.log(' ✅ Request created')
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console.log(` 📝 Stream in request: ${request.stream}`)
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// Step 4: Make API call
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console.log('\nStep 4: Making API call (STREAMING)...')
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const response = await callGPT5ResponsesAPI(GPT5_CODEX_PROFILE, request)
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// Step 5: TRACK STREAM STATE before adapter
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console.log('\nStep 5: Checking stream state BEFORE adapter...')
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console.log(` 📊 Response status: ${response.status}`)
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console.log(` 📊 Response ok: ${response.ok}`)
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console.log(` 📊 Response type: ${response.type}`)
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console.log(` 📊 Response body exists: ${!!response.body}`)
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console.log(` 📊 Response body locked: ${response.body?.locked || 'N/A (not a ReadableStream)'}`)
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// Step 6: Check if body is a ReadableStream
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if (response.body && typeof response.body.getReader === 'function') {
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console.log(` ✅ Confirmed: Response.body is a ReadableStream`)
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// Check initial state
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console.log(` 🔒 Initial locked state: ${response.body.locked}`)
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if (response.body.locked) {
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console.log('\n❌ CRITICAL ISSUE FOUND: Stream is already locked!')
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console.log(' This means something consumed the stream BEFORE adapter.parseResponse()')
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console.log(' Possible culprits:')
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console.log(' - Middleware/interceptor reading the response')
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console.log(' - Debug logging calling response.json() or response.text()')
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console.log(' - Error handler accessing the body')
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throw new Error('Stream locked before adapter.parseResponse() - investigate what consumed it!')
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}
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} else {
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console.log(' ⚠️ WARNING: Response.body is NOT a ReadableStream')
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console.log(' This might be because:')
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console.log(' - The API returned a non-streaming response')
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console.log(' - The response was already consumed and converted')
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}
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// Step 7: Parse response
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console.log('\nStep 6: Parsing response with adapter...')
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let unifiedResponse
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try {
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unifiedResponse = await adapter.parseResponse(response)
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console.log(' ✅ Response parsed successfully')
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} catch (error) {
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console.log(' ❌ Error parsing response:')
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console.log(` Message: ${error.message}`)
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console.log(` Stack: ${error.stack}`)
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if (error.message.includes('locked') || error.message.includes('reader')) {
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console.log('\n💡 ROOT CAUSE IDENTIFIED:')
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console.log(' The stream was locked between API call and parseResponse()')
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console.log(' This is the exact bug causing empty content in the CLI!')
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}
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throw error
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}
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// Step 8: Validate result
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console.log('\nStep 7: Validating result...')
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console.log(` 📄 Response ID: ${unifiedResponse.id}`)
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console.log(` 📄 Content type: ${Array.isArray(unifiedResponse.content) ? 'array' : typeof unifiedResponse.content}`)
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console.log(` 📄 Content length: ${Array.isArray(unifiedResponse.content) ? unifiedResponse.content.length : unifiedResponse.content?.length || 0}`)
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// Extract actual text content
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let actualText = ''
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if (Array.isArray(unifiedResponse.content)) {
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actualText = unifiedResponse.content
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.filter(block => block.type === 'text')
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.map(block => block.text)
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.join('')
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} else if (typeof unifiedResponse.content === 'string') {
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actualText = unifiedResponse.content
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}
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console.log(` 📄 Actual text: "${actualText}"`)
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console.log(` 🔧 Tool calls: ${unifiedResponse.toolCalls.length}`)
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// Assertions
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expect(unifiedResponse).toBeDefined()
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expect(unifiedResponse.content).toBeDefined()
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expect(Array.isArray(unifiedResponse.content)).toBe(true) // Now expects array!
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if (actualText.length === 0) {
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console.log('\n❌ CONFIRMED BUG: Content is empty!')
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console.log(' This matches the CLI behavior.')
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console.log(' The stream was either:')
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console.log(' 1. Already consumed/locked before adapter could read it')
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console.log(' 2. Never had data to begin with (API returned empty)')
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console.log(' 3. SSE parsing failed (wrong event structure)')
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} else {
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console.log('\n✅ Content received! This test would pass if the bug is fixed.')
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}
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// Final summary
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console.log('\n📊 DIAGNOSTIC SUMMARY:')
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console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
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console.log(` Response OK: ${response.ok}`)
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console.log(` Body Type: ${typeof response.body}`)
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console.log(` Body Locked: ${response.body?.locked || 'N/A'}`)
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console.log(` Content Length: ${actualText.length}`)
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console.log(` Test Result: ${actualText.length > 0 ? 'PASS' : 'FAIL'}`)
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})
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test('Compare streaming vs non-streaming responses', async () => {
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console.log('\n🔍 COMPARISON TEST: Stream vs Non-Stream')
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console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
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const adapter = ModelAdapterFactory.createAdapter(GPT5_CODEX_PROFILE)
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// Test with stream: true
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console.log('\n📡 Testing with stream: true...')
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const streamingParams = {
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messages: [{ role: 'user', content: 'Say "STREAM".' }],
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systemPrompt: ['You are a helpful assistant.'],
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tools: [],
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maxTokens: 10,
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stream: true,
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reasoningEffort: 'high' as const,
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temperature: 1,
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verbosity: 'high' as const
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}
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const streamingRequest = adapter.createRequest(streamingParams)
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const streamingResponse = await callGPT5ResponsesAPI(GPT5_CODEX_PROFILE, streamingRequest)
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const streamingResult = await adapter.parseResponse(streamingResponse)
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// Extract text from content array
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const streamingText = Array.isArray(streamingResult.content)
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? streamingResult.content.filter(b => b.type === 'text').map(b => b.text).join('')
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: streamingResult.content
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console.log(` Stream forced: ${streamingRequest.stream}`)
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console.log(` Body type: ${typeof streamingResponse.body}`)
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console.log(` Content: "${streamingText}"`)
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// Test with stream: false (even though adapter forces true)
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console.log('\n📡 Testing with stream: false...')
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const nonStreamingParams = {
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...streamingParams,
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stream: false
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}
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const nonStreamingRequest = adapter.createRequest(nonStreamingParams)
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const nonStreamingResponse = await callGPT5ResponsesAPI(GPT5_CODEX_PROFILE, nonStreamingRequest)
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const nonStreamingResult = await adapter.parseResponse(nonStreamingResponse)
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||||
|
||||
// Extract text from content array
|
||||
const nonStreamingText = Array.isArray(nonStreamingResult.content)
|
||||
? nonStreamingResult.content.filter(b => b.type === 'text').map(b => b.text).join('')
|
||||
: nonStreamingResult.content
|
||||
|
||||
console.log(` Stream requested: ${nonStreamingParams.stream}`)
|
||||
console.log(` Stream forced: ${nonStreamingRequest.stream}`)
|
||||
console.log(` Body type: ${typeof nonStreamingResponse.body}`)
|
||||
console.log(` Content: "${nonStreamingText}"`)
|
||||
|
||||
// Compare
|
||||
console.log('\n📊 COMPARISON:')
|
||||
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
|
||||
console.log(` Streaming content length: ${streamingText.length}`)
|
||||
console.log(` Non-streaming content length: ${nonStreamingText.length}`)
|
||||
console.log(` Difference: ${nonStreamingText.length - streamingText.length}`)
|
||||
|
||||
if (streamingText.length === 0 && nonStreamingText.length > 0) {
|
||||
console.log('\n💡 KEY FINDING:')
|
||||
console.log(' The adapter forces stream: true, but returns empty content!')
|
||||
console.log(' This suggests the SSE parsing is failing silently.')
|
||||
}
|
||||
})
|
||||
})
|
||||
@ -53,7 +53,7 @@ export interface UnifiedRequestParams {
|
||||
// Unified response format
|
||||
export interface UnifiedResponse {
|
||||
id: string
|
||||
content: string
|
||||
content: string | Array<{ type: string; text?: string; [key: string]: any }>
|
||||
toolCalls?: any[]
|
||||
usage: {
|
||||
promptTokens: number
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user