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+FROM python:3.10-slim
+# 安装pip依赖
+WORKDIR /workspace
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+# 复制你的源码
+COPY . .
+# Space 必须监听 0.0.0.0:7860 或 3000，建议 7860！
+ENV PORT=7860
+EXPOSE 7860
+CMD ["python", "openai_ondemand_adapter.py"]

openai_ondemand_adapter.py

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+from flask import Flask, request, Response, jsonify
+import requests
+import uuid
+import time
+import json
+import threading
+import logging
+import os
+
+# ====== 读取 Huggingface Secret 配置的私有key =======
+PRIVATE_KEY = os.environ.get("PRIVATE_KEY", "")
+SAFE_HEADER = "X-API-KEY"
+
+# 全局接口访问权限检查
+def check_private_key():
+    # 可以在这里放宽部分接口，比如首页等
+    if request.path in ["/", "/favicon.ico"]:
+        return
+    key = request.headers.get(SAFE_HEADER)
+    if not key or key != PRIVATE_KEY:
+        return jsonify({"error": "Unauthorized, must provide correct X-API-KEY"}), 401
+
+# 应用所有API鉴权
+app = Flask(__name__)
+app.before_request(check_private_key)
+
+# ========== KEY池（每行一个）==========
+ONDEMAND_APIKEYS = [
+    "Key1",
+    "Key2",
+]
+BAD_KEY_RETRY_INTERVAL = 600 # 秒
+
+# ========== OnDemand模型映射 ==========
+MODEL_MAP = {
+    "gpto3-mini": "predefined-openai-gpto3-mini",
+    "gpt-4o": "predefined-openai-gpt4o",
+    "gpt-4.1": "predefined-openai-gpt4.1",
+    "gpt-4.1-mini": "predefined-openai-gpt4.1-mini",
+    "gpt-4.1-nano": "predefined-openai-gpt4.1-nano",
+    "gpt-4o-mini": "predefined-openai-gpt4o-mini",
+    "deepseek-v3": "predefined-deepseek-v3",
+    "deepseek-r1": "predefined-deepseek-r1",
+    "claude-3.7-sonnet": "predefined-claude-3.7-sonnet",
+    "gemini-2.0-flash": "predefined-gemini-2.0-flash",
+}
+DEFAULT_ONDEMAND_MODEL = "predefined-openai-gpt4o"
+# ==========================================
+
+class KeyManager:
+    def __init__(self, key_list):
+        self.key_list = list(key_list)
+        self.lock = threading.Lock()
+        self.key_status = {k: {"bad": False, "bad_ts": None} for k in self.key_list}
+        self.idx = 0
+
+    def display_key(self, key):
+        return f"{key[:6]}...{key[-4:]}"
+
+    def get(self):
+        with self.lock:
+            total = len(self.key_list)
+            for _ in range(total):
+                key = self.key_list[self.idx]
+                self.idx = (self.idx + 1) % total
+                s = self.key_status[key]
+                if not s["bad"]:
+                    print(f"【对话请求】【使用API KEY: {self.display_key(key)}】【状态：正常】")
+                    return key
+                if s["bad"] and s["bad_ts"]:
+                    ago = time.time() - s["bad_ts"]
+                    if ago >= BAD_KEY_RETRY_INTERVAL:
+                        print(f"【KEY自动尝试恢复】API KEY: {self.display_key(key)} 满足重试周期，标记为正常")
+                        self.key_status[key]["bad"] = False
+                        self.key_status[key]["bad_ts"] = None
+                        print(f"【对话请求】【使用API KEY: {self.display_key(key)}】【状态：正常】")
+                        return key
+            print("【警告】全部KEY已被禁用，强制选用第一个KEY继续尝试:", self.display_key(self.key_list[0]))
+            for k in self.key_list:
+                self.key_status[k]["bad"] = False
+                self.key_status[k]["bad_ts"] = None
+            self.idx = 0
+            print(f"【对话请求】【使用API KEY: {self.display_key(self.key_list[0])}】【状态：强制尝试（全部异常）】")
+            return self.key_list[0]
+
+    def mark_bad(self, key):
+        with self.lock:
+            if key in self.key_status and not self.key_status[key]["bad"]:
+                print(f"【禁用KEY】API KEY: {self.display_key(key)}，接口返回无效（将在{BAD_KEY_RETRY_INTERVAL//60}分钟后自动重试）")
+                self.key_status[key]["bad"] = True
+                self.key_status[key]["bad_ts"] = time.time()
+
+keymgr = KeyManager(ONDEMAND_APIKEYS)
+
+ONDEMAND_API_BASE = "https://api.on-demand.io/chat/v1"
+
+def get_endpoint_id(openai_model):
+    m = str(openai_model or "").lower().replace(" ", "")
+    return MODEL_MAP.get(m, DEFAULT_ONDEMAND_MODEL)
+
+def create_session(apikey, external_user_id=None, plugin_ids=None):
+    url = f"{ONDEMAND_API_BASE}/sessions"
+    payload = {"externalUserId": external_user_id or str(uuid.uuid4())}
+    if plugin_ids is not None:
+        payload["pluginIds"] = plugin_ids
+    headers = {"apikey": apikey, "Content-Type": "application/json"}
+    resp = requests.post(url, json=payload, headers=headers, timeout=20)
+    resp.raise_for_status()
+    return resp.json()["data"]["id"]
+
+def format_openai_sse_delta(chunk_str):
+    return f"data: {json.dumps(chunk_str, ensure_ascii=False)}\n\n"
+
+@app.route("/v1/chat/completions", methods=["POST"])
+def chat_completions():
+    data = request.json
+    if not data or "messages" not in data:
+        return jsonify({"error": "请求缺少messages字段"}), 400
+
+    messages = data["messages"]
+    openai_model = data.get("model", "gpt-4o")
+    endpoint_id = get_endpoint_id(openai_model)
+    is_stream = bool(data.get("stream", False))
+
+    user_msg = None
+    for msg in reversed(messages):
+        if msg.get("role") == "user":
+            user_msg = msg.get("content")
+            break
+    if user_msg is None:
+        return jsonify({"error": "未找到用户消息"}), 400
+
+    def with_valid_key(func):
+        bad_cnt = 0
+        max_retry = len(keymgr.key_list)*2
+        while bad_cnt < max_retry:
+            key = keymgr.get()
+            try:
+                return func(key)
+            except Exception as e:
+                if hasattr(e, 'response'):
+                    r = e.response
+                    if r.status_code in (401, 403, 429, 500):
+                        keymgr.mark_bad(key)
+                        bad_cnt += 1
+                        continue
+                raise
+        return jsonify({"error": "没有可用API KEY，请补充新KEY或联系技术支持"}), 500
+
+    if is_stream:
+        def generate():
+            def do_once(apikey):
+                sid = create_session(apikey)
+                url = f"{ONDEMAND_API_BASE}/sessions/{sid}/query"
+                payload = {
+                    "query": user_msg,
+                    "endpointId": endpoint_id,
+                    "pluginIds": [],
+                    "responseMode": "stream"
+                }
+                headers = {"apikey": apikey, "Content-Type": "application/json", "Accept": "text/event-stream"}
+                with requests.post(url, json=payload, headers=headers, stream=True, timeout=120) as resp:
+                    if resp.status_code != 200:
+                        raise requests.HTTPError(response=resp)
+                    answer_acc = ""
+                    first_chunk = True
+                    for line in resp.iter_lines():
+                        if not line:
+                            continue
+                        line = line.decode("utf-8")
+                        if line.startswith("data:"):
+                            datapart = line[5:].strip()
+                            if datapart == "[DONE]":
+                                yield "data: [DONE]\n\n"
+                                break
+                            elif datapart.startswith("[ERROR]:"):
+                                err_json = datapart[len("[ERROR]:"):].strip()
+                                yield format_openai_sse_delta({"error": err_json})
+                                break
+                            else:
+                                try:
+                                    js = json.loads(datapart)
+                                except Exception:
+                                    continue
+                                if js.get("eventType") == "fulfillment":
+                                    delta = js.get("answer", "")
+                                    answer_acc += delta
+                                    chunk = {
+                                        "id": "chatcmpl-" + str(uuid.uuid4())[:8],
+                                        "object": "chat.completion.chunk",
+                                        "created": int(time.time()),
+                                        "model": openai_model,
+                                        "choices": [{
+                                            "delta": {
+                                                "role": "assistant",
+                                                "content": delta
+                                            } if first_chunk else {
+                                                "content": delta
+                                            },
+                                            "index": 0,
+                                            "finish_reason": None
+                                        }]
+                                    }
+                                    yield format_openai_sse_delta(chunk)
+                                    first_chunk = False
+                    yield "data: [DONE]\n\n"
+            yield from with_valid_key(do_once)
+        return Response(generate(), content_type='text/event-stream')
+
+    def nonstream(apikey):
+        sid = create_session(apikey)
+        url = f"{ONDEMAND_API_BASE}/sessions/{sid}/query"
+        payload = {
+            "query": user_msg,
+            "endpointId": endpoint_id,
+            "pluginIds": [],
+            "responseMode": "sync"
+        }
+        headers = {"apikey": apikey, "Content-Type": "application/json"}
+        resp = requests.post(url, json=payload, headers=headers, timeout=120)
+        if resp.status_code != 200:
+            raise requests.HTTPError(response=resp)
+        ai_response = resp.json()["data"]["answer"]
+        resp_obj = {
+            "id": "chatcmpl-" + str(uuid.uuid4())[:8],
+            "object": "chat.completion",
+            "created": int(time.time()),
+            "model": openai_model,
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {"role": "assistant", "content": ai_response},
+                    "finish_reason": "stop"
+                }
+            ],
+            "usage": {}
+        }
+        return jsonify(resp_obj)
+
+    return with_valid_key(nonstream)
+
+@app.route("/v1/models", methods=["GET"])
+def models():
+    model_objs = []
+    for mdl in MODEL_MAP.keys():
+        model_objs.append({
+            "id": mdl,
+            "object": "model",
+            "owned_by": "ondemand-proxy"
+        })
+    uniq = {m["id"]: m for m in model_objs}.values()
+    return jsonify({
+        "object": "list",
+        "data": list(uniq)
+    })
+
+if __name__ == "__main__":
+    log_fmt = '[%(asctime)s] %(levelname)s: %(message)s'
+    logging.basicConfig(level=logging.INFO, format=log_fmt)
+    print("======== OnDemand KEY池数量：", len(ONDEMAND_APIKEYS), "========")
+    app.run(host="0.0.0.0", port=7860, debug=False)

requirements.txt

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+Flask
+requests