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import asyncio |
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import json |
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import logging |
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import random |
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import string |
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import time |
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import uuid |
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from typing import AsyncGenerator, Dict, List, Any |
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import aiohttp |
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import brotli |
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import importlib |
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from fastapi import FastAPI, Request, HTTPException |
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from fastapi.middleware.cors import CORSMiddleware |
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from fastapi.responses import StreamingResponse |
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from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type, RetryError |
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logging.basicConfig( |
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level=logging.INFO, |
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format="%(asctime)s %(levelname)s %(message)s", |
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datefmt="%H:%M:%S", |
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) |
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logger = logging.getLogger("proxy") |
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BLACKBOX_URL = "https://www.blackbox.ai/api/chat" |
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REQUEST_TIMEOUT = 300 |
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HEADERS = { |
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"authority": "www.blackbox.ai", |
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"method": "POST", |
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"path": "/api/chat", |
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"scheme": "https", |
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"accept": "*/*", |
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"accept-encoding": "gzip, deflate, br, zstd", |
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"accept-language": "en-US,en;q=0.9", |
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"origin": "https://www.blackbox.ai", |
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"priority": "u=1, i", |
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"referer": "https://www.blackbox.ai/", |
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"sec-ch-ua": '"Chromium";v="136", "Google Chrome";v="136", "Not.A/Brand";v="99"', |
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"sec-ch-ua-mobile": "?0", |
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"sec-ch-ua-platform": '"Windows"', |
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"sec-fetch-dest": "empty", |
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"sec-fetch-mode": "cors", |
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"sec-fetch-site": "same-origin", |
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"user-agent": ( |
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) " |
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"AppleWebKit/537.36 (KHTML, like Gecko) " |
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"Chrome/136.0.0.0 Safari/537.36" |
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), |
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"content-type": "application/json", |
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} |
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app = FastAPI() |
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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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HTTP_SESSION: aiohttp.ClientSession = None |
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RETRYABLE_STATUSES = {400, 429, 500, 502, 503, 504} |
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_ascii = string.ascii_letters + string.digits |
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def _rand(n, pool=_ascii): return "".join(random.choice(pool) for _ in range(n)) |
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def random_email(): return _rand(12) + "@gmail.com" |
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def random_id(): return _rand(21, string.digits) |
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def random_customer_id(): return "cus_" + _rand(12) |
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def build_payload(messages: List[Dict[str, Any]]) -> Dict[str, Any]: |
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return { |
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"messages": messages, |
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"agentMode": {}, |
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"id": None, |
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"previewToken": None, |
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"userId": None, |
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"codeModelMode": True, |
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"trendingAgentMode": {}, |
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"isMicMode": False, |
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"userSystemPrompt": None, |
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"maxTokens": 1024, |
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"playgroundTopP": None, |
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"playgroundTemperature": None, |
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"isChromeExt": False, |
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"githubToken": "", |
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"clickedAnswer2": False, |
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"clickedAnswer3": False, |
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"clickedForceWebSearch": False, |
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"visitFromDelta": False, |
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"isMemoryEnabled": False, |
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"mobileClient": False, |
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"userSelectedModel": None, |
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"validated": "00f37b34-a166-4efb-bce5-1312d87f2f94", |
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"imageGenerationMode": False, |
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"webSearchModePrompt": False, |
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"deepSearchMode": True, |
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"domains": None, |
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"vscodeClient": False, |
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"codeInterpreterMode": False, |
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"customProfile": { |
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"name": "", |
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"occupation": "", |
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"traits": [], |
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"additionalInfo": "", |
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"enableNewChats": False |
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}, |
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"session": { |
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"user": { |
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"name": _rand(10), |
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"email": random_email(), |
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"image": "https://lh3.googleusercontent.com/a/default", |
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"id": random_id() |
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}, |
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"expires": "2025-06-09T19:36:08.220Z", |
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"isNewUser": False |
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}, |
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"isPremium": True, |
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"subscriptionCache": { |
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"status": "PREMIUM", |
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"customerId": random_customer_id(), |
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"expiryTimestamp": 1749108685, |
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"lastChecked": 1746822333827, |
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"isTrialSubscription": False |
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}, |
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"beastMode": False, |
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"reasoningMode": False, |
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"designerMode": False |
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} |
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class RetryableStatusError(Exception): |
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def __init__(self, status: int, text: str): |
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super().__init__(f"status={status} body={text[:100]}...") |
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def log_retry(retry_state): |
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rid = retry_state.kwargs.get("request_id", "unknown") |
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logger.warning("[%s] retry %s/3 due to %s", rid, retry_state.attempt_number, retry_state.outcome.exception()) |
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@retry( |
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stop=stop_after_attempt(3), |
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wait=wait_exponential(min=1, max=10), |
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retry=retry_if_exception_type( |
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(aiohttp.ClientConnectionError, aiohttp.ClientResponseError, asyncio.TimeoutError, RetryableStatusError) |
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), |
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before_sleep=log_retry |
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) |
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async def get_blackbox_response(*, data, stream: bool, request_id: str) -> AsyncGenerator[str, None]: |
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global HTTP_SESSION |
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if not HTTP_SESSION: |
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importlib.import_module("brotli") |
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HTTP_SESSION = aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=REQUEST_TIMEOUT)) |
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async with HTTP_SESSION.post(BLACKBOX_URL, json=data, headers=HEADERS, timeout=REQUEST_TIMEOUT) as resp: |
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if resp.status != 200: |
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body = await resp.text() |
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logger.error("[%s] Upstream %s error: %s", request_id, BLACKBOX_URL, resp.status) |
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if resp.status in RETRYABLE_STATUSES: |
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raise RetryableStatusError(resp.status, body) |
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raise HTTPException(status_code=502, detail=f"Upstream error {resp.status}") |
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if stream: |
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async for chunk in resp.content.iter_any(): |
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if chunk: |
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yield chunk.decode("utf-8", "ignore") |
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else: |
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yield await resp.text() |
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@app.middleware("http") |
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async def add_request_id(request: Request, call_next): |
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request.state.request_id = rid = str(uuid.uuid4()) |
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logger.info("[%s] %s %s", rid, request.method, request.url.path) |
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start = time.perf_counter() |
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resp = await call_next(request) |
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logger.info("[%s] finished in %.2fs", rid, time.perf_counter() - start) |
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return resp |
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@app.get("/") |
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async def root(): |
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return {"message": "API is running"} |
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@app.get("/health") |
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async def health(): |
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return {"status": "ok"} |
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@app.post("/v1/chat/completions") |
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async def chat_completions(request: Request): |
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rid = request.state.request_id |
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try: |
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body = await request.json() |
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messages = body.get("messages", []) |
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if not messages: |
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raise HTTPException(status_code=400, detail="Missing 'messages'") |
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stream = body.get("stream", False) |
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payload = build_payload(messages) |
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if not stream: |
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chunks: List[str] = [] |
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async for part in get_blackbox_response(data=payload, stream=False, request_id=rid): |
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if part.startswith("Error:"): |
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raise HTTPException(status_code=502, detail=part) |
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chunks.append(part) |
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answer = "".join(chunks) or "No response." |
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return { |
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"id": str(uuid.uuid4()), |
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"object": "chat.completion", |
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"created": int(time.time()), |
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"model": "DeepResearch", |
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"choices": [{ |
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"index": 0, |
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"message": {"role": "assistant", "content": answer}, |
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"finish_reason": "stop", |
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}], |
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} |
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async def event_stream(): |
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async for chunk in get_blackbox_response(data=payload, stream=True, request_id=rid): |
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msg = { |
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"id": str(uuid.uuid4()), |
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"object": "chat.completion.chunk", |
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"created": int(time.time()), |
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"model": "DeepResearch", |
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"choices": [{"index": 0, "delta": {"content": chunk}}], |
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} |
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yield f"data: {json.dumps(msg)}\n\n" |
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yield "data: [DONE]\n\n" |
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return StreamingResponse(event_stream(), media_type="text/event-stream") |
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except json.JSONDecodeError: |
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raise HTTPException(status_code=400, detail="Invalid JSON") |
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except RetryError as re: |
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logger.error("[%s] retries failed: %s", rid, re) |
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raise HTTPException(status_code=502, detail="Blackbox upstream failed") |
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except Exception as e: |
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logger.exception("[%s] error", rid) |
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raise HTTPException(status_code=500, detail="Internal proxy error") |
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