fake stream dashscope
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264
fastapi_server/fake_stream_server_dashscopy.py
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264
fastapi_server/fake_stream_server_dashscopy.py
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from fastapi import FastAPI, HTTPException, Path, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse
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from pydantic import BaseModel, Field
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from typing import List, Optional
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import os
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import sys
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import time
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import json
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import uvicorn
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from loguru import logger
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# Ensure we can import from project root
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from lang_agent.pipeline import Pipeline, PipelineConfig
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class DSMessage(BaseModel):
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role: str
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content: str
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class DSApplicationCallRequest(BaseModel):
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api_key: Optional[str] = Field(default=None)
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app_id: Optional[str] = Field(default=None)
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session_id: Optional[str] = Field(default=None)
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messages: List[DSMessage]
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stream: bool = Field(default=True)
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# Optional overrides for pipeline behavior
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thread_id: Optional[int] = Field(default=3)
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app = FastAPI(title="DashScope-Compatible Application API",
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description="DashScope Application.call compatible endpoint backed by pipeline.chat")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Initialize Pipeline once
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pipeline_config = PipelineConfig()
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pipeline:Pipeline = pipeline_config.setup()
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def sse_chunks_from_text(full_text: str, response_id: str, model: str = "qwen-flash", chunk_size: int = 1000):
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created_time = int(time.time())
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for i in range(0, len(full_text), chunk_size):
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chunk = full_text[i:i + chunk_size]
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if chunk:
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data = {
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"request_id": response_id,
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"code": 200,
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"message": "OK",
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"output": {
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# Send empty during stream; many SDKs only expose output_text on final
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"text": "",
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"created": created_time,
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"model": model,
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},
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"is_end": False,
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}
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yield f"data: {json.dumps(data)}\n\n"
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final = {
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"request_id": response_id,
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"code": 200,
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"message": "OK",
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"output": {
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"text": full_text,
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"created": created_time,
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"model": model,
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},
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"is_end": True,
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}
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yield f"data: {json.dumps(final)}\n\n"
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@app.post("/v1/apps/{app_id}/sessions/{session_id}/responses")
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@app.post("/api/v1/apps/{app_id}/sessions/{session_id}/responses")
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async def application_responses(
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request: Request,
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app_id: str = Path(...),
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session_id: str = Path(...),
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):
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try:
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body = await request.json()
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# Prefer path params
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req_app_id = app_id or body.get("app_id")
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req_session_id = session_id or body.get("session_id")
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# Normalize messages
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messages = body.get("messages")
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if messages is None and isinstance(body.get("input"), dict):
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messages = body.get("input", {}).get("messages")
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if messages is None and isinstance(body.get("input"), dict):
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prompt = body.get("input", {}).get("prompt")
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if isinstance(prompt, str):
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messages = [{"role": "user", "content": prompt}]
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if not messages:
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raise HTTPException(status_code=400, detail="messages is required")
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# Determine stream flag
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stream = body.get("stream")
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if stream is None:
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stream = body.get("parameters", {}).get("stream", True)
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thread_id = body.get("thread_id", 3)
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# Extract latest user message
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user_msg = None
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for m in reversed(messages):
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role = m.get("role") if isinstance(m, dict) else None
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content = m.get("content") if isinstance(m, dict) else None
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if role == "user" and content:
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user_msg = content
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break
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if user_msg is None:
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last = messages[-1]
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user_msg = last.get("content") if isinstance(last, dict) else str(last)
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# Invoke pipeline (non-stream) then stream-chunk it to the client
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result_text = pipeline.chat(inp=user_msg, as_stream=False, thread_id=thread_id)
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if not isinstance(result_text, str):
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result_text = str(result_text)
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response_id = f"appcmpl-{os.urandom(12).hex()}"
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if stream:
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return StreamingResponse(
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sse_chunks_from_text(result_text, response_id=response_id, model=pipeline_config.llm_name, chunk_size=10),
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media_type="text/event-stream",
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)
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# Non-streaming response structure
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data = {
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"request_id": response_id,
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"code": 200,
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"message": "OK",
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"app_id": req_app_id,
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"session_id": req_session_id,
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"output": {
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"text": result_text,
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"created": int(time.time()),
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"model": pipeline_config.llm_name,
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},
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"is_end": True,
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}
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return JSONResponse(content=data)
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"DashScope-compatible endpoint error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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# Compatibility: some SDKs call /apps/{app_id}/completion without /v1 and without session in path
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@app.post("/apps/{app_id}/completion")
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@app.post("/v1/apps/{app_id}/completion")
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@app.post("/api/apps/{app_id}/completion")
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@app.post("/api/v1/apps/{app_id}/completion")
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async def application_completion(
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request: Request,
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app_id: str = Path(...),
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):
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try:
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body = await request.json()
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req_session_id = body.get("session_id")
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# Normalize messages
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messages = body.get("messages")
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if messages is None and isinstance(body.get("input"), dict):
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messages = body.get("input", {}).get("messages")
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if messages is None and isinstance(body.get("input"), dict):
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prompt = body.get("input", {}).get("prompt")
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if isinstance(prompt, str):
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messages = [{"role": "user", "content": prompt}]
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if not messages:
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raise HTTPException(status_code=400, detail="messages is required")
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stream = body.get("stream")
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if stream is None:
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stream = body.get("parameters", {}).get("stream", True)
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thread_id = body.get("thread_id", 3)
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user_msg = None
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for m in reversed(messages):
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role = m.get("role") if isinstance(m, dict) else None
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content = m.get("content") if isinstance(m, dict) else None
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if role == "user" and content:
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user_msg = content
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break
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if user_msg is None:
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last = messages[-1]
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user_msg = last.get("content") if isinstance(last, dict) else str(last)
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result_text = pipeline.chat(inp=user_msg, as_stream=False, thread_id=thread_id)
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if not isinstance(result_text, str):
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result_text = str(result_text)
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response_id = f"appcmpl-{os.urandom(12).hex()}"
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if stream:
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return StreamingResponse(
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sse_chunks_from_text(result_text, response_id=response_id, model=pipeline_config.llm_name, chunk_size=1000),
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media_type="text/event-stream",
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)
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data = {
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"request_id": response_id,
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"code": 200,
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"message": "OK",
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"app_id": app_id,
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"session_id": req_session_id,
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"output": {
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"text": result_text,
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"created": int(time.time()),
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"model": pipeline_config.llm_name,
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},
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"is_end": True,
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}
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return JSONResponse(content=data)
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"DashScope-compatible completion error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/")
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async def root():
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return {"message": "DashScope Application-compatible API", "endpoints": [
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"/v1/apps/{app_id}/sessions/{session_id}/responses",
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"/health",
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]}
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@app.get("/health")
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async def health():
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return {"status": "healthy"}
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if __name__ == "__main__":
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uvicorn.run(
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"fake_stream_server_dashscopy:app",
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host="0.0.0.0",
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port=8588,
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reload=True,
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)
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