[全量] 初始化项目代码、配置、文档及Agent协同harness

langchain-chat/server/model_workers/xinghuo.py

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+from fastchat.conversation import Conversation
+from server.model_workers.base import *
+from fastchat import conversation as conv
+import sys
+import json
+from server.model_workers import SparkApi
+import websockets
+from server.utils import iter_over_async, asyncio
+from typing import List, Dict
+
+
+async def request(appid, api_key, api_secret, Spark_url, domain, question, temperature, max_token):
+    wsParam = SparkApi.Ws_Param(appid, api_key, api_secret, Spark_url)
+    wsUrl = wsParam.create_url()
+    data = SparkApi.gen_params(appid, domain, question, temperature, max_token)
+    async with websockets.connect(wsUrl) as ws:
+        await ws.send(json.dumps(data, ensure_ascii=False))
+        finish = False
+        while not finish:
+            chunk = await ws.recv()
+            response = json.loads(chunk)
+            if response.get("header", {}).get("status") == 2:
+                finish = True
+            if text := response.get("payload", {}).get("choices", {}).get("text"):
+                yield text[0]["content"]
+
+
+class XingHuoWorker(ApiModelWorker):
+    def __init__(
+            self,
+            *,
+            model_names: List[str] = ["xinghuo-api"],
+            controller_addr: str = None,
+            worker_addr: str = None,
+            version: str = None,
+            **kwargs,
+    ):
+        kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
+        kwargs.setdefault("context_len", 8000)
+        super().__init__(**kwargs)
+        self.version = version
+
+    def do_chat(self, params: ApiChatParams) -> Dict:
+        params.load_config(self.model_names[0])
+
+        version_mapping = {
+            "v1.5": {"domain": "general", "url": "ws://spark-api.xf-yun.com/v1.1/chat", "max_tokens": 4000},
+            "v2.0": {"domain": "generalv2", "url": "ws://spark-api.xf-yun.com/v2.1/chat", "max_tokens": 8000},
+            "v3.0": {"domain": "generalv3", "url": "ws://spark-api.xf-yun.com/v3.1/chat", "max_tokens": 8000},
+            "v3.5": {"domain": "generalv3", "url": "ws://spark-api.xf-yun.com/v3.5/chat", "max_tokens": 16000},
+        }
+
+        def get_version_details(version_key):
+            return version_mapping.get(version_key, {"domain": None, "url": None})
+
+        details = get_version_details(params.version)
+        domain = details["domain"]
+        Spark_url = details["url"]
+        text = ""
+        try:
+            loop = asyncio.get_event_loop()
+        except:
+            loop = asyncio.new_event_loop()
+        params.max_tokens = min(details["max_tokens"], params.max_tokens or 0)
+        for chunk in iter_over_async(
+                request(params.APPID, params.api_key, params.APISecret, Spark_url, domain, params.messages,
+                        params.temperature, params.max_tokens),
+                loop=loop,
+        ):
+            if chunk:
+                text += chunk
+                yield {"error_code": 0, "text": text}
+
+    def get_embeddings(self, params):
+        print("embedding")
+        print(params)
+
+    def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
+        return conv.Conversation(
+            name=self.model_names[0],
+            system_message="你是一个聪明的助手，请根据用户的提示来完成任务",
+            messages=[],
+            roles=["user", "assistant"],
+            sep="\n### ",
+            stop_str="###",
+        )
+
+
+if __name__ == "__main__":
+    import uvicorn
+    from server.utils import MakeFastAPIOffline
+    from fastchat.serve.model_worker import app
+
+    worker = XingHuoWorker(
+        controller_addr="http://127.0.0.1:20001",
+        worker_addr="http://127.0.0.1:21003",
+    )
+    sys.modules["fastchat.serve.model_worker"].worker = worker
+    MakeFastAPIOffline(app)
+    uvicorn.run(app, port=21003)