Implement Plan A1: Fast Mode Analysis

Features:
- Add analysis_mode parameter (fast/deep) to AnalysisRequest
- Fast mode (15-25 min): Disables investment and risk debates (max_debate_rounds=0)
- Deep mode (60 min): Default mode with debates enabled
- Update backend TradingService to handle analysis_mode
- Add analysis_mode form field to frontend with dropdown selector
- Update TypeScript interfaces to include analysis_mode

Changes:
- backend/app/models/schemas.py: Add analysis_mode field to AnalysisRequest
- backend/app/services/trading_service.py: Handle analysis_mode in create_config()
- backend/app/api/routes.py: Pass analysis_mode parameter to run_analysis()
- frontend/components/analysis/AnalysisForm.tsx: Add analysis_mode dropdown (fast/deep)
- frontend/lib/types.ts: Add analysis_mode to AnalysisRequest interface

When users select "fast mode", the system will:
1. Skip investment debate (max_debate_rounds = 0)
2. Skip risk debate (max_risk_discuss_rounds = 0)
3. Reduce analysis time from ~60 minutes to ~15-25 minutes
4. Still run all analyst reports with proper 500-1000 word counts
5. Provide initial decision without debate refinement

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
MarkLo127 2026-03-12 21:32:57 +08:00
parent a019896a9e
commit 9c0a9819e6
5 changed files with 62 additions and 5 deletions

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@ -141,6 +141,7 @@ async def run_analysis(
alpha_vantage_api_key=request.alpha_vantage_api_key or "",
finmind_api_key=request.finmind_api_key or "",
language=request.language or "zh-TW", # Pass language for agent reports
analysis_mode=request.analysis_mode or "deep", # Pass analysis mode (fast or deep)
))
# Check for errors in result

View File

@ -67,6 +67,10 @@ class AnalysisRequest(BaseModel):
default="zh-TW",
description="Language for agent reports: 'en' for English, 'zh-TW' for Traditional Chinese"
)
analysis_mode: Optional[Literal["fast", "deep"]] = Field(
default="deep",
description="Analysis mode: 'fast' (no debates, ~15-25 min) or 'deep' (with debates, ~1 hour)"
)
class PriceData(BaseModel):
"""Stock price data model"""

View File

@ -28,14 +28,33 @@ class TradingService:
research_depth: int = 1,
deep_think_llm: str = "gpt-5-mini",
quick_think_llm: str = "gpt-5-mini",
analysis_mode: str = "deep",
) -> Dict[str, Any]:
"""Create configuration for TradingAgentsX"""
"""Create configuration for TradingAgentsX
Args:
research_depth: Research depth (1-5)
deep_think_llm: Deep thinking LLM model
quick_think_llm: Quick thinking LLM model
analysis_mode: "fast" (no debates) or "deep" (with debates)
"""
config = self.default_config.copy()
config["max_debate_rounds"] = research_depth
config["max_risk_discuss_rounds"] = research_depth
config["deep_think_llm"] = deep_think_llm
config["quick_think_llm"] = quick_think_llm
config["results_dir"] = settings.results_dir
# Handle analysis mode
if analysis_mode == "fast":
# Fast mode: disable debates entirely
config["max_debate_rounds"] = 0
config["max_risk_discuss_rounds"] = 0
logger.info("Analysis mode: FAST (debates disabled)")
else:
# Deep mode: use research_depth for debate rounds
config["max_debate_rounds"] = research_depth
config["max_risk_discuss_rounds"] = research_depth
logger.info(f"Analysis mode: DEEP (research_depth={research_depth})")
return config
async def run_analysis(
@ -59,6 +78,7 @@ class TradingService:
deep_think_llm: str = "gpt-5-mini",
quick_think_llm: str = "gpt-5-mini",
language: str = "zh-TW", # Language for agent reports: 'en' or 'zh-TW'
analysis_mode: str = "deep", # Analysis mode: 'fast' (no debates) or 'deep' (with debates)
) -> Dict[str, Any]:
"""
Run trading analysis for a given ticker and date with user-provided API keys
@ -106,8 +126,8 @@ class TradingService:
os.environ["OPENAI_API_KEY"] = openai_api_key
# Create configuration
logger.info(f"Initializing TradingAgentsX for {ticker} on {analysis_date}")
config = self.create_config(research_depth, deep_think_llm, quick_think_llm)
logger.info(f"Initializing TradingAgentsX for {ticker} on {analysis_date} (mode={analysis_mode})")
config = self.create_config(research_depth, deep_think_llm, quick_think_llm, analysis_mode)
# Normalize base URLs (ensure lowercase paths, common issue with custom endpoints)
def normalize_base_url(url: str) -> str:

View File

@ -52,6 +52,7 @@ const formSchema = z.object({
.regex(/^\d{4}-\d{2}-\d{2}$/, "日期格式必須為 YYYY-MM-DD"),
analysts: z.array(z.string()).min(1, "請至少選擇一位分析師"),
research_depth: z.number().int().min(1).max(5),
analysis_mode: z.enum(["fast", "deep"]).default("deep"),
quick_think_llm: z.string().min(1, "請選擇快速思維模型"),
deep_think_llm: z.string().min(1, "請選擇深層思維模型"),
embedding_model: z.string().min(1, "請選擇嵌入式模型"),
@ -111,6 +112,7 @@ export function AnalysisForm({ onSubmit, loading = false }: AnalysisFormProps) {
analysis_date: format(new Date(), "yyyy-MM-dd"),
analysts: ["market", "social", "news", "fundamentals"], // 預設全選
research_depth: 3, // 預設中等層級
analysis_mode: "deep", // 預設深層分析
market_type: "us", // 預設美股
quick_think_llm: "gpt-5-mini",
deep_think_llm: "gpt-5-mini",
@ -473,6 +475,35 @@ export function AnalysisForm({ onSubmit, loading = false }: AnalysisFormProps) {
/>
</div>
{/* 分析模式行 */}
<div className="md:col-span-2 grid grid-cols-1 md:grid-cols-2 gap-6">
<FormField
control={form.control}
name="analysis_mode"
render={({ field }) => (
<FormItem>
<FormLabel></FormLabel>
<Select
onValueChange={field.onChange}
defaultValue={field.value}
>
<FormControl>
<SelectTrigger>
<SelectValue placeholder="選擇分析模式" />
</SelectTrigger>
</FormControl>
<SelectContent>
<SelectItem value="fast"> (~15-25 )</SelectItem>
<SelectItem value="deep"> (~1 )</SelectItem>
</SelectContent>
</Select>
<FormDescription></FormDescription>
<FormMessage />
</FormItem>
)}
/>
</div>
{/* 第二行研究深度、快速思維模型、深層思維模型、嵌入式模型4列 */}
<div className="md:col-span-2 grid grid-cols-1 md:grid-cols-4 gap-6">
<FormField

View File

@ -7,6 +7,7 @@ export interface AnalysisRequest {
analysis_date: string;
analysts?: string[];
research_depth?: number;
analysis_mode?: "fast" | "deep"; // Analysis mode: 'fast' (no debates) or 'deep' (with debates)
market_type?: "us" | "twse" | "tpex"; // 市場類型:美股、上市、上櫃/興櫃
quick_think_llm?: string;
deep_think_llm?: string;