feat(aia): Complete AIA V2.0 with universal streaming capabilities
Major Changes: - Add StreamingService with OpenAI Compatible format - Upgrade Chat component V2 with Ant Design X integration - Implement AIA module with 12 intelligent agents - Update API routes to unified /api/v1 prefix - Update system documentation Backend (~1300 lines): - common/streaming: OpenAI Compatible adapter - modules/aia: 12 agents, conversation service, streaming integration - Update route versions (RVW, PKB to v1) Frontend (~3500 lines): - modules/aia: AgentHub + ChatWorkspace (100% prototype restoration) - shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook - Update API endpoints to v1 Documentation: - AIA module status guide - Universal capabilities catalog - System overview updates - All module documentation sync Tested: Stream response verified, authentication working Status: AIA V2.0 core completed (85%)
This commit is contained in:
@@ -1,25 +1,25 @@
|
||||
# CloseAI髮<49><E9ABAE>謖<EFBFBD>漉
|
||||
|
||||
> **文档版本:** v1.0
|
||||
> **创建日期:** 2025-11-09
|
||||
> **譁<EFBFBD>。」迚域悽<EFBFBD>?* v1.0
|
||||
> **蛻帛サコ譌・譛滂シ?* 2025-11-09
|
||||
> **逕ィ騾費シ<E8B2BB>** 騾夊ソ④loseAI莉」逅<EFBDA3>ケウ蜿ー隶ソ髣ョOpenAI GPT-5蜥靴laude-4.5
|
||||
> **适用场景:** AI智能文献双模型筛选、高质量文本生成
|
||||
> **騾ら畑蝨コ譎ッ<EFBFBD>?* AI譎コ閭ス譁<EFBDBD>鍵蜿梧ィ。蝙狗ュ幃峨<E5B3A8>ォ倩エィ驥乗枚譛ャ逕滓<E98095>
|
||||
|
||||
---
|
||||
|
||||
## 📋 CloseAI简介
|
||||
## <EFBFBD>搭 CloseAI邂莉?
|
||||
|
||||
### 什么是CloseAI?
|
||||
### 莉荵域弍CloseAI<EFBFBD>?
|
||||
|
||||
CloseAI是一个**API代理平台**,为中国用户提供稳定的OpenAI和Claude API访问服务。
|
||||
CloseAI譏ッ荳荳?*API莉」逅<EFBDA3>ケウ蜿ー**<2A>御クコ荳ュ蝗ス逕ィ謌キ謠蝉セ帷ィウ螳夂噪OpenAI蜥靴laude API隶ソ髣ョ譛榊苅縲?
|
||||
|
||||
**核心优势:**
|
||||
- ✅ 国内直连,无需科学上网
|
||||
- ✅ 一个API Key同时调用OpenAI和Claude
|
||||
- ✅ 兼容OpenAI SDK标准接口
|
||||
- ✅ 支持最新模型(GPT-5、Claude-4.5)
|
||||
**譬ク蠢<EFBFBD>シ伜漢<EFBFBD>?*
|
||||
- 笨?蝗ス蜀<EFBDBD>峩霑橸シ梧裏髴遘大ュヲ荳顔ス<E9A194>
|
||||
- 笨?荳荳ェAPI Key蜷梧慮隹<EFBFBD>畑OpenAI蜥靴laude
|
||||
- 笨?蜈シ螳ケOpenAI SDK譬<EFBFBD>㊥謗・蜿」
|
||||
- 笨?謾ッ謖∵怙譁ー讓。蝙具シ<E585B7>PT-5縲,laude-4.5<EFBFBD>?
|
||||
|
||||
**官网:** https://platform.openai-proxy.org
|
||||
**螳倡ス托シ?* https://platform.openai-proxy.org
|
||||
|
||||
---
|
||||
|
||||
@@ -38,15 +38,15 @@ CLOSEAI_OPENAI_BASE_URL=https://api.openai-proxy.org/v1
|
||||
CLOSEAI_CLAUDE_BASE_URL=https://api.openai-proxy.org/anthropic
|
||||
```
|
||||
|
||||
### 支持的模型
|
||||
### 謾ッ謖∫噪讓。蝙?
|
||||
|
||||
| 讓。蝙<EFBDA1> | Model ID | 隸エ譏<EFBDB4> | 騾ら畑蝨コ譎ッ |
|
||||
|------|---------|------|---------|
|
||||
| **GPT-5-Pro** | `gpt-5-pro` | 最新GPT-5 ⭐ | 文献精准筛选、复杂推理 |
|
||||
| GPT-4-Turbo | `gpt-4-turbo-preview` | GPT-4高性能版 | 质量要求高的任务 |
|
||||
| GPT-3.5-Turbo | `gpt-3.5-turbo` | 快速经济版 | 简单任务、成本优化 |
|
||||
| **Claude-4.5-Sonnet** | `claude-sonnet-4-5-20250929` | 最新Claude ⭐ | 第三方仲裁、结构化输出 |
|
||||
| Claude-3.5-Sonnet | `claude-3-5-sonnet-20241022` | Claude-3.5稳定版 | 高质量文本生成 |
|
||||
| **GPT-5-Pro** | `gpt-5-pro` | 譛譁ーGPT-5 箝?| 譁<>鍵邊セ蜃<EFBDBE>ュ幃峨∝、肴揩謗ィ逅?|
|
||||
| GPT-4-Turbo | `gpt-4-turbo-preview` | GPT-4鬮俶ァ閭ス迚?| 雍ィ驥剰ヲ∵アるォ倡噪莉サ蜉。 |
|
||||
| GPT-3.5-Turbo | `gpt-3.5-turbo` | 蠢ォ騾溽サ乗オ守沿 | 邂蜊穂ササ蜉。縲∵<E7B8B2>譛ャ莨伜<E88EA8>?|
|
||||
| **Claude-4.5-Sonnet** | `claude-sonnet-4-5-20250929` | 譛譁ーClaude 箝?| 隨ャ荳画婿莉イ陬√∫サ捺桷蛹冶セ灘<EFBDBE> |
|
||||
| Claude-3.5-Sonnet | `claude-3-5-sonnet-20241022` | Claude-3.5遞ウ螳夂<EFBFBD>?| 鬮倩エィ驥乗枚譛ャ逕滓<E98095>?|
|
||||
|
||||
---
|
||||
|
||||
@@ -58,9 +58,9 @@ CLOSEAI_CLAUDE_BASE_URL=https://api.openai-proxy.org/anthropic
|
||||
npm install openai
|
||||
```
|
||||
|
||||
### 2. 创建LLM服务类
|
||||
### 2. 蛻帛サコLLM譛榊苅邀?
|
||||
|
||||
**文件位置:** `backend/src/common/llm/closeai.service.ts`
|
||||
**譁<EFBFBD>サカ菴咲スョ<EFBFBD>?* `backend/src/common/llm/closeai.service.ts`
|
||||
|
||||
```typescript
|
||||
import OpenAI from 'openai';
|
||||
@@ -71,13 +71,13 @@ export class CloseAIService {
|
||||
private claudeClient: OpenAI;
|
||||
|
||||
constructor() {
|
||||
// OpenAI客户端(通过CloseAI)
|
||||
// OpenAI螳「謌キ遶ッ<EFBFBD>磯夊ソ④loseAI<EFBFBD>?
|
||||
this.openaiClient = new OpenAI({
|
||||
apiKey: config.closeaiApiKey,
|
||||
baseURL: config.closeaiOpenaiBaseUrl,
|
||||
});
|
||||
|
||||
// Claude客户端(通过CloseAI)
|
||||
// Claude螳「謌キ遶ッ<EFBFBD>磯夊ソ④loseAI<EFBFBD>?
|
||||
this.claudeClient = new OpenAI({
|
||||
apiKey: config.closeaiApiKey,
|
||||
baseURL: config.closeaiClaudeBaseUrl,
|
||||
@@ -135,7 +135,7 @@ export class CloseAIService {
|
||||
}
|
||||
|
||||
/**
|
||||
* 流式响应(GPT-5)
|
||||
* 豬∝シ丞桃蠎費シ<EFBFBD>PT-5<EFBFBD>?
|
||||
*/
|
||||
async *streamGPT5(prompt: string, systemPrompt?: string) {
|
||||
const messages: any[] = [];
|
||||
@@ -165,7 +165,7 @@ export class CloseAIService {
|
||||
|
||||
### 3. 扈滉クLLM譛榊苅<E6A68A>亥性4荳ェ讓。蝙具シ<E585B7>
|
||||
|
||||
**文件位置:** `backend/src/common/llm/llm.service.ts`
|
||||
**譁<EFBFBD>サカ菴咲スョ<EFBFBD>?* `backend/src/common/llm/llm.service.ts`
|
||||
|
||||
```typescript
|
||||
import OpenAI from 'openai';
|
||||
@@ -258,7 +258,7 @@ export class UnifiedLLMService {
|
||||
|
||||
### 蝨コ譎ッ1<EFBDAF>壼曙讓。蝙句ッケ豈皮ュ幃会シ域耳闕撰シ俄ュ<E4BF84>
|
||||
|
||||
**策略:** DeepSeek(快速初筛) + GPT-5(质量复核)
|
||||
**遲也払<EFBFBD>?* DeepSeek<EFBFBD>亥ソォ騾溷<EFBFBD>遲幢シ<EFBFBD> + GPT-5<>郁エィ驥丞、肴<EFBDA4>ク<EFBFBD><EFBDB8>
|
||||
|
||||
```typescript
|
||||
export class LiteratureScreeningService {
|
||||
@@ -269,23 +269,23 @@ export class LiteratureScreeningService {
|
||||
}
|
||||
|
||||
/**
|
||||
* 双模型文献筛选
|
||||
* 蜿梧ィ。蝙区枚迪ョ遲幃?
|
||||
*/
|
||||
async screenLiterature(title: string, abstract: string, picoConfig: any) {
|
||||
const prompt = `
|
||||
隸キ譬ケ謐ョ莉・荳輝ICO譬<EFBFBD>㊥<EFBFBD>悟愛譁ュ霑咏ッ<EFBFBD>枚迪ョ譏ッ蜷ヲ蠎碑ッ・郤ウ蜈・<EFBFBD><EFBFBD>
|
||||
|
||||
**PICO标准:**
|
||||
**PICO譬<EFBFBD>㊥<EFBFBD>?*
|
||||
- Population: ${picoConfig.population}
|
||||
- Intervention: ${picoConfig.intervention}
|
||||
- Comparison: ${picoConfig.comparison}
|
||||
- Outcome: ${picoConfig.outcome}
|
||||
|
||||
**文献信息:**
|
||||
标题:${title}
|
||||
摘要:${abstract}
|
||||
**譁<EFBFBD>鍵菫。諱ッ<EFBFBD>?*
|
||||
譬<EFBFBD>「假シ?{title}
|
||||
鞫倩ヲ<EFBFBD>シ?{abstract}
|
||||
|
||||
请输出JSON格式:
|
||||
隸キ霎灘<EFBFBD>JSON譬シ蠑擾シ?
|
||||
{
|
||||
"decision": "include/exclude/uncertain",
|
||||
"reason": "蛻、譁ュ逅<EFBDAD>罰",
|
||||
@@ -325,11 +325,11 @@ export class LiteratureScreeningService {
|
||||
|
||||
### 蝨コ譎ッ2<EFBDAF>壻ク画ィ。蝙句<E89D99>隸<EFBFBD>サイ陬<EFBDB2>
|
||||
|
||||
**策略:** 当两个模型冲突时,启用Claude作为第三方仲裁
|
||||
**遲也払<EFBFBD>?* 蠖謎ク、荳ェ讓。蝙句<E89D99>遯∵慮<E288B5>悟星逕ィClaude菴應クコ隨ャ荳画婿莉イ陬?
|
||||
|
||||
```typescript
|
||||
async screenWithArbitration(title: string, abstract: string, picoConfig: any) {
|
||||
// 第一轮:双模型筛选
|
||||
// 隨ャ荳霓ョ<EFBFBD>壼曙讓。蝙狗ュ幃?
|
||||
const initialScreen = await this.screenLiterature(title, abstract, picoConfig);
|
||||
|
||||
// 螯よ棡荳閾エ<E996BE>檎峩謗・霑泌屓
|
||||
@@ -343,7 +343,7 @@ async screenWithArbitration(title: string, abstract: string, picoConfig: any) {
|
||||
const claudeResult = await this.llm.chat('claude', prompt);
|
||||
const claudeDecision = JSON.parse(claudeResult.content);
|
||||
|
||||
// 三模型投票
|
||||
// 荳画ィ。蝙区兜逾?
|
||||
const decisions = [
|
||||
initialScreen.models[0].decision,
|
||||
initialScreen.models[1].decision,
|
||||
@@ -356,7 +356,7 @@ async screenWithArbitration(title: string, abstract: string, picoConfig: any) {
|
||||
uncertain: decisions.filter(d => d === 'uncertain').length,
|
||||
};
|
||||
|
||||
// 多数决
|
||||
// 螟壽焚蜀?
|
||||
const finalDecision = Object.keys(voteCount).reduce((a, b) =>
|
||||
voteCount[a] > voteCount[b] ? a : b
|
||||
);
|
||||
@@ -370,13 +370,13 @@ async screenWithArbitration(title: string, abstract: string, picoConfig: any) {
|
||||
}
|
||||
```
|
||||
|
||||
### 场景3:成本优化策略
|
||||
### 蝨コ譎ッ3<EFBFBD>壽<EFBFBD>譛ャ莨伜喧遲也<EFBFBD>?
|
||||
|
||||
**策略:** 只对不确定的结果使用GPT-5复核
|
||||
**遲也払<EFBFBD>?* 蜿ェ蟇ケ荳咲。ョ螳夂噪扈捺棡菴ソ逕ィGPT-5螟肴<EFBFBD>ク
|
||||
|
||||
```typescript
|
||||
async screenWithCostOptimization(title: string, abstract: string, picoConfig: any) {
|
||||
// 第一轮:用DeepSeek快速初筛(便宜)
|
||||
// 隨ャ荳霓ョ<EFBFBD>夂畑DeepSeek蠢ォ騾溷<EFBFBD>遲幢シ井セソ螳懶シ?
|
||||
const quickScreen = await this.llm.chat('deepseek', prompt);
|
||||
const quickDecision = JSON.parse(quickScreen.content);
|
||||
|
||||
@@ -405,39 +405,39 @@ async screenWithCostOptimization(title: string, abstract: string, picoConfig: an
|
||||
|
||||
---
|
||||
|
||||
## 📊 性能和成本对比
|
||||
## <EFBFBD>投 諤ァ閭ス蜥梧<E89CA5>譛ャ蟇ケ豈?
|
||||
|
||||
### 讓。蝙区ァ閭ス蟇ケ豈<EFBDB9>
|
||||
|
||||
| 謖<><E8AC96><EFBFBD> | DeepSeek-V3 | GPT-5-Pro | Claude-4.5 | Qwen-Max |
|
||||
|------|------------|-----------|-----------|----------|
|
||||
| **准确率** | 85% | **95%** ⭐ | 93% | 82% |
|
||||
| **速度** | **快** ⭐ | 中等 | 中等 | 快 |
|
||||
| **成本** | **¥0.001/1K** ⭐ | ¥0.10/1K | ¥0.021/1K | ¥0.004/1K |
|
||||
| **中文理解** | **优秀** ⭐ | 优秀 | 良好 | 优秀 |
|
||||
| **结构化输出** | 良好 | 优秀 | **优秀** ⭐ | 良好 |
|
||||
| **蜃<EFBFBD>。ョ邇?* | 85% | **95%** 箝?| 93% | 82% |
|
||||
| **騾溷コヲ** | **蠢?* 箝?| 荳ュ遲<EFBDAD> | 荳ュ遲<EFBDAD> | 蠢?|
|
||||
| **謌先悽** | **ツ・0.001/1K** 箝?| ツ・0.10/1K | ツ・0.021/1K | ツ・0.004/1K |
|
||||
| **荳ュ譁<EFBFBD>炊隗」** | **莨倡ァ** 箝?| 莨倡ァ | 濶ッ螂ス | 莨倡ァ |
|
||||
| **扈捺桷蛹冶セ灘<EFBFBD>?* | 濶ッ螂ス | 莨倡ァ | **莨倡ァ** 箝?| 濶ッ螂ス |
|
||||
|
||||
### 筛选1000篇文献的成本估算
|
||||
### 遲幃?000遽<30>枚迪ョ逧<EFBDAE><E980A7>譛ャ莨ー邂<EFBDB0>
|
||||
|
||||
**遲也払A<E68995>壼宵逕ィDeepSeek**
|
||||
- 成本:¥20-30
|
||||
- 謌先悽<EFBFBD>堋?0-30
|
||||
- 蜃<>。ョ邇<EFBDAE>シ<EFBFBD>85%
|
||||
- 适用:预算有限,可接受一定误差
|
||||
- 騾ら畑<EFBFBD>夐「<EFBFBD>ョ玲怏髯撰シ悟庄謗・蜿嶺ク螳夊ッッ蟾?
|
||||
|
||||
**策略B:DeepSeek + GPT-5 双模型**
|
||||
- 成本:¥150-200
|
||||
**遲也払B<EFBFBD>咼eepSeek + GPT-5 蜿梧ィ。蝙?*
|
||||
- 謌先悽<EFBFBD>堋?50-200
|
||||
- 蜃<>。ョ邇<EFBDAE>シ<EFBFBD>92%
|
||||
- 适用:质量要求高,预算充足 ⭐ 推荐
|
||||
- 騾ら畑<EFBFBD>夊エィ驥剰ヲ∵アるォ假シ碁「<EFBFBD>ョ怜<EFBFBD>雜?箝?謗ィ闕<EFBDA8>
|
||||
|
||||
**策略C:三模型共识(20%冲突启用Claude)**
|
||||
- 成本:¥180-220
|
||||
**遲也払C<EFBFBD>壻ク画ィ。蝙句<EFBFBD>隸<EFBFBD>シ?0%蜀イ遯∝星逕ィClaude<64>?*
|
||||
- 謌先悽<EFBFBD>堋?80-220
|
||||
- 蜃<>。ョ邇<EFBDAE>シ<EFBFBD>95%
|
||||
- 适用:最高质量要求
|
||||
- 騾ら畑<EFBFBD>壽怙鬮倩エィ驥剰ヲ∵ア?
|
||||
|
||||
**策略D:成本优化(80%用DeepSeek,20%用GPT-5)**
|
||||
- 成本:¥50-80
|
||||
**遲也払D<EFBFBD>壽<EFBFBD>譛ャ莨伜喧<EFBFBD><EFBFBD>80%逕ィDeepSeek<EFBFBD>?0%逕ィGPT-5<>?*
|
||||
- 謌先悽<EFBFBD>堋?0-80
|
||||
- 蜃<>。ョ邇<EFBDAE>シ<EFBFBD>90%
|
||||
- 适用:质量和成本平衡 ⭐ 性价比最高
|
||||
- 騾ら畑<EFBFBD>夊エィ驥丞柱謌先悽蟷ウ陦。 箝?諤ァ莉キ豈疲怙鬮?
|
||||
|
||||
---
|
||||
|
||||
@@ -446,12 +446,12 @@ async screenWithCostOptimization(title: string, abstract: string, picoConfig: an
|
||||
### 1. API Key螳牙<E89EB3>
|
||||
|
||||
```typescript
|
||||
// ❌ 错误:硬编码API Key
|
||||
// 笶?髞呵ッッ<EFBDAF>夂。ャ郛也<E9839B>、PI Key
|
||||
const client = new OpenAI({
|
||||
apiKey: 'sk-cu0iepbXYGGx2jc7BqP6ogtSWmP6fk918qV3RUdtGC3Edlpo',
|
||||
});
|
||||
|
||||
// ✅ 正确:从环境变量读取
|
||||
// 笨?豁」遑ョ<E98191>壻サ守識蠅<E8AD98>序驥剰ッサ蜿<EFBDBB>
|
||||
const client = new OpenAI({
|
||||
apiKey: process.env.CLOSEAI_API_KEY,
|
||||
});
|
||||
@@ -465,15 +465,15 @@ async chat(provider: LLMProvider, prompt: string) {
|
||||
const response = await this.llm.chat(provider, prompt);
|
||||
return response;
|
||||
} catch (error) {
|
||||
// CloseAI可能返回的错误
|
||||
// CloseAI蜿ッ閭ス霑泌屓逧<EFBFBD>漠隸?
|
||||
if (error.status === 429) {
|
||||
// 騾溽紫髯仙宛
|
||||
console.error('API隹<49>畑騾溽紫雜<E7B4AB>剞<EFBFBD>瑚ッキ遞榊錘驥崎ッ<E5B48E>');
|
||||
} else if (error.status === 401) {
|
||||
// 隶、隸∝、ア雍・
|
||||
console.error('API Key无效,请检查配置');
|
||||
console.error('API Key譌<EFBFBD>謨茨シ瑚ッキ譽譟・驟咲ス?);
|
||||
} else if (error.status === 500) {
|
||||
// 服务端错误
|
||||
// 譛榊苅遶ッ髞呵ッ?
|
||||
console.error('CloseAI譛榊苅蠑ょクク<EFBFBD>瑚ッキ遞榊錘驥崎ッ<EFBFBD>');
|
||||
}
|
||||
throw error;
|
||||
@@ -491,7 +491,7 @@ async chatWithRetry(provider: LLMProvider, prompt: string, maxRetries = 3) {
|
||||
} catch (error) {
|
||||
if (i === maxRetries - 1) throw error;
|
||||
|
||||
// 指数退避
|
||||
// 謖<EFBFBD>焚騾驕?
|
||||
const delay = Math.pow(2, i) * 1000;
|
||||
await new Promise(resolve => setTimeout(resolve, delay));
|
||||
}
|
||||
@@ -509,9 +509,9 @@ async chatWithRetry(provider: LLMProvider, prompt: string, maxRetries = 3) {
|
||||
|
||||
---
|
||||
|
||||
**更新日志:**
|
||||
**譖エ譁ー譌・蠢暦シ?*
|
||||
- 2025-11-09: 蛻帛サコ譁<EFBDBA>。」<EFBDA1>梧キサ蜉<EFBDBB>CloseAI髮<49><E9ABAE>謖<EFBFBD>漉
|
||||
- 支持GPT-5-Pro和Claude-4.5-Sonnet最新模型
|
||||
- 謾ッ謖;PT-5-Pro蜥靴laude-4.5-Sonnet譛譁ー讓。蝙?
|
||||
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user