File size: 4,521 Bytes
1f21206 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | import { openaiResponsesToAnthropic } from '../transform/openaiResponsesToAnthropic.js'
import type {
AnthropicResponse,
OpenAIResponsesResponse,
} from '../transform/types.js'
type StreamFallbackState = {
id: string
createdAt: number
model: string
status: string
textByKey: Map<string, string>
usage: OpenAIResponsesResponse['usage']
}
/**
* Collect a streamed OpenAI Responses API response into one Anthropic message.
* ChatGPT Codex requires upstream stream=true, but some Anthropic SDK callers
* still expect a non-streaming JSON response.
*/
export async function openaiResponsesStreamToAnthropicResponse(
upstream: ReadableStream<Uint8Array>,
model: string,
): Promise<AnthropicResponse> {
const decoder = new TextDecoder()
const reader = upstream.getReader()
let buffer = ''
let currentEvent = ''
let completedResponse: OpenAIResponsesResponse | null = null
const fallback: StreamFallbackState = {
id: `resp_${Date.now()}`,
createdAt: Math.floor(Date.now() / 1000),
model,
status: 'completed',
textByKey: new Map(),
usage: undefined,
}
while (true) {
const { done, value } = await reader.read()
if (done) break
buffer += decoder.decode(value, { stream: true })
const lines = buffer.split('\n')
buffer = lines.pop() || ''
for (const line of lines) {
const trimmed = line.trim()
if (trimmed.startsWith('event: ')) {
currentEvent = trimmed.slice(7).trim()
continue
}
if (!trimmed.startsWith('data: ')) {
if (trimmed === '') currentEvent = ''
continue
}
const jsonStr = trimmed.slice(6)
if (jsonStr === '[DONE]') {
currentEvent = ''
continue
}
let data: Record<string, unknown>
try {
data = JSON.parse(jsonStr) as Record<string, unknown>
} catch {
currentEvent = ''
continue
}
if (currentEvent === 'response.completed') {
const response = data.response
if (isOpenAIResponsesResponse(response)) {
completedResponse = response
}
} else {
updateFallbackState(currentEvent, data, fallback)
}
currentEvent = ''
}
}
return openaiResponsesToAnthropic(
completedResponse ?? buildFallbackResponse(fallback),
model,
)
}
function updateFallbackState(
event: string,
data: Record<string, unknown>,
fallback: StreamFallbackState,
): void {
if (event === 'response.created') {
if (typeof data.id === 'string') fallback.id = data.id
if (typeof data.created_at === 'number') fallback.createdAt = data.created_at
if (typeof data.model === 'string') fallback.model = data.model
if (typeof data.status === 'string') fallback.status = data.status
return
}
if (event === 'response.output_text.delta') {
const key = getTextKey(data)
const delta = typeof data.delta === 'string' ? data.delta : ''
fallback.textByKey.set(key, (fallback.textByKey.get(key) ?? '') + delta)
return
}
if (event === 'response.output_text.done') {
const text = typeof data.text === 'string' ? data.text : null
if (text !== null) fallback.textByKey.set(getTextKey(data), text)
return
}
if (event === 'response.refusal.delta') {
const key = getTextKey(data)
const delta = typeof data.delta === 'string' ? data.delta : ''
fallback.textByKey.set(key, (fallback.textByKey.get(key) ?? '') + delta)
}
}
function buildFallbackResponse(
fallback: StreamFallbackState,
): OpenAIResponsesResponse {
const text = [...fallback.textByKey.entries()]
.sort(([a], [b]) => a.localeCompare(b))
.map(([, value]) => value)
.join('')
return {
id: fallback.id,
object: 'response',
created_at: fallback.createdAt,
model: fallback.model,
status: fallback.status,
output: [{
type: 'message',
role: 'assistant',
content: [{ type: 'output_text', text }],
}],
usage: fallback.usage,
}
}
function getTextKey(data: Record<string, unknown>): string {
const outputIndex = typeof data.output_index === 'number' ? data.output_index : 0
const contentIndex = typeof data.content_index === 'number' ? data.content_index : 0
return `${outputIndex}:${contentIndex}`
}
function isOpenAIResponsesResponse(
value: unknown,
): value is OpenAIResponsesResponse {
return (
!!value &&
typeof value === 'object' &&
!Array.isArray(value) &&
Array.isArray((value as { output?: unknown }).output)
)
}
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