feat: implement real streaming for Kiro API using AWS Event Stream

This commit is contained in:
Sanyela 2025-12-03 13:37:16 +08:00
parent 5e6ff1435b
commit 28de81203f

View file

@ -1012,18 +1012,110 @@ async initializeAuth(forceRefresh = false) {
}
}
//kiro提供的接口没有流式返回
async streamApi(method, model, body, isRetry = false, retryCount = 0) {
/**
* 解析 AWS Event Stream 格式的单个事件
* 格式: :event-type xxx:content-type application/json:message-type event{"content":"..."}
*/
parseAwsEventStreamChunk(chunk) {
const results = [];
// 匹配 JSON 内容,可能是 {"content":"..."} 或其他格式
const jsonMatches = chunk.match(/\{"[^"]+":"[^"]*"\}/g);
if (jsonMatches) {
for (const jsonStr of jsonMatches) {
try {
const parsed = JSON.parse(jsonStr);
if (parsed.content !== undefined) {
results.push({ type: 'content', data: parsed.content });
} else if (parsed.toolUse !== undefined) {
results.push({ type: 'toolUse', data: parsed.toolUse });
}
} catch (e) {
// 解析失败,跳过
}
}
}
return results;
}
/**
* 真正的流式 API 调用 - 使用 responseType: 'stream'
*/
async * streamApiReal(method, model, body, isRetry = false, retryCount = 0) {
if (!this.isInitialized) await this.initialize();
const maxRetries = this.config.REQUEST_MAX_RETRIES || 3;
const baseDelay = this.config.REQUEST_BASE_DELAY || 1000;
const requestData = this.buildCodewhispererRequest(body.messages, model, body.tools, body.system);
const token = this.accessToken;
const headers = {
'Authorization': `Bearer ${token}`,
'amz-sdk-invocation-id': `${uuidv4()}`,
};
const requestUrl = model.startsWith('amazonq') ? this.amazonQUrl : this.baseUrl;
try {
// 直接调用并返回Promise最终解析为response
return await this.callApi(method, model, body, isRetry, retryCount);
const response = await this.axiosInstance.post(requestUrl, requestData, {
headers,
responseType: 'stream' // 关键:使用流式响应
});
const stream = response.data;
let buffer = '';
for await (const chunk of stream) {
const chunkStr = chunk.toString();
buffer += chunkStr;
// 尝试解析缓冲区中的事件
const events = this.parseAwsEventStreamChunk(buffer);
for (const event of events) {
if (event.type === 'content' && event.data) {
yield { type: 'content', content: event.data };
} else if (event.type === 'toolUse') {
yield { type: 'toolUse', toolUse: event.data };
}
}
// 清理已处理的部分(保留最后一部分以防不完整)
const lastBraceIndex = buffer.lastIndexOf('}');
if (lastBraceIndex > 0) {
buffer = buffer.substring(lastBraceIndex + 1);
}
}
} catch (error) {
console.error('[Kiro] Error calling API:', error);
throw error; // 向上抛出错误
if (error.response?.status === 403 && !isRetry) {
console.log('[Kiro] Received 403 in stream. Attempting token refresh and retrying...');
await this.initializeAuth(true);
yield* this.streamApiReal(method, model, body, true, retryCount);
return;
}
if (error.response?.status === 429 && retryCount < maxRetries) {
const delay = baseDelay * Math.pow(2, retryCount);
console.log(`[Kiro] Received 429 in stream. Retrying in ${delay}ms...`);
await new Promise(resolve => setTimeout(resolve, delay));
yield* this.streamApiReal(method, model, body, isRetry, retryCount + 1);
return;
}
console.error('[Kiro] Stream API call failed:', error.message);
throw error;
}
}
// 重构2: generateContentStream 调用新的普通async函数
// 保留旧的非流式方法用于 generateContent
async streamApi(method, model, body, isRetry = false, retryCount = 0) {
try {
return await this.callApi(method, model, body, isRetry, retryCount);
} catch (error) {
console.error('[Kiro] Error calling API:', error);
throw error;
}
}
// 真正的流式传输实现
async * generateContentStream(model, requestBody) {
if (!this.isInitialized) await this.initialize();
@ -1034,28 +1126,98 @@ async initializeAuth(forceRefresh = false) {
}
const finalModel = MODEL_MAPPING[model] ? model : this.modelName;
console.log(`[Kiro] Calling generateContentStream with model: ${finalModel}`);
console.log(`[Kiro] Calling generateContentStream with model: ${finalModel} (real streaming)`);
// Estimate input tokens before making the API call
const inputTokens = this.estimateInputTokens(requestBody);
const messageId = `${uuidv4()}`;
try {
const response = await this.streamApi('', finalModel, requestBody);
const { responseText, toolCalls } = this._processApiResponse(response);
// 1. 先发送 message_start 事件
yield {
type: "message_start",
message: {
id: messageId,
type: "message",
role: "assistant",
model: model,
usage: { input_tokens: inputTokens, output_tokens: 0 },
content: []
}
};
// Pass both responseText and toolCalls to buildClaudeResponse
// buildClaudeResponse will handle the logic of combining them into a single stream
for (const chunkJson of this.buildClaudeResponse(responseText, true, 'assistant', model, toolCalls, inputTokens)) {
yield chunkJson;
// 2. 发送 content_block_start 事件
yield {
type: "content_block_start",
index: 0,
content_block: { type: "text", text: "" }
};
let totalContent = '';
let outputTokens = 0;
const toolCalls = [];
// 3. 流式接收并发送每个 content_block_delta
for await (const event of this.streamApiReal('', finalModel, requestBody)) {
if (event.type === 'content' && event.content) {
totalContent += event.content;
outputTokens += this.countTextTokens(event.content);
yield {
type: "content_block_delta",
index: 0,
delta: { type: "text_delta", text: event.content }
};
} else if (event.type === 'toolUse') {
toolCalls.push(event.toolUse);
}
}
// 4. 发送 content_block_stop 事件
yield { type: "content_block_stop", index: 0 };
// 5. 处理工具调用(如果有)
if (toolCalls.length > 0) {
for (let i = 0; i < toolCalls.length; i++) {
const tc = toolCalls[i];
const blockIndex = i + 1;
yield {
type: "content_block_start",
index: blockIndex,
content_block: {
type: "tool_use",
id: tc.toolUseId || `tool_${uuidv4()}`,
name: tc.name,
input: {}
}
};
yield {
type: "content_block_delta",
index: blockIndex,
delta: {
type: "input_json_delta",
partial_json: JSON.stringify(tc.input || {})
}
};
yield { type: "content_block_stop", index: blockIndex };
}
}
// 6. 发送 message_delta 事件
yield {
type: "message_delta",
delta: { stop_reason: toolCalls.length > 0 ? "tool_use" : "end_turn" },
usage: { output_tokens: outputTokens }
};
// 7. 发送 message_stop 事件
yield { type: "message_stop" };
} catch (error) {
console.error('[Kiro] Error in streaming generation:', error);
throw new Error(`Error processing response: ${error.message}`);
// For Claude, we yield an array of events for streaming error
// Ensure error message is passed as content, not toolCalls
// for (const chunkJson of this.buildClaudeResponse(`Error: ${error.message}`, true, 'assistant', model, null)) {
// yield chunkJson;
// }
}
}