[全量] 初始化项目代码、配置、文档及Agent协同harness

2026-04-02 11:36:05 +08:00
parent 0553309cdf
commit 87e571d9ec
1133 changed files with 221948 additions and 0 deletions
--- a/langchain-chat/server/model_workers/azure.py
+++ b/langchain-chat/server/model_workers/azure.py
@@ -0,0 +1,95 @@
+import sys
+import os
+from fastchat.conversation import Conversation
+from server.model_workers.base import *
+from server.utils import get_httpx_client
+from fastchat import conversation as conv
+import json
+from typing import List, Dict
+from configs import logger, log_verbose
+
+
+class AzureWorker(ApiModelWorker):
+    def __init__(
+            self,
+            *,
+            controller_addr: str = None,
+            worker_addr: str = None,
+            model_names: List[str] = ["azure-api"],
+            version: str = "gpt-35-turbo",
+            **kwargs,
+    ):
+        kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
+        super().__init__(**kwargs)
+        self.version = version
+
+    def do_chat(self, params: ApiChatParams) -> Dict:
+        params.load_config(self.model_names[0])
+
+        data = dict(
+            messages=params.messages,
+            temperature=params.temperature,
+            max_tokens=params.max_tokens if params.max_tokens else None,
+            stream=True,
+        )
+        url = ("https://{}.openai.azure.com/openai/deployments/{}/chat/completions?api-version={}"
+               .format(params.resource_name, params.deployment_name, params.api_version))
+        headers = {
+            'Content-Type': 'application/json',
+            'Accept': 'application/json',
+            'api-key': params.api_key,
+        }
+
+        text = ""
+        if log_verbose:
+            logger.info(f'{self.__class__.__name__}:url: {url}')
+            logger.info(f'{self.__class__.__name__}:headers: {headers}')
+            logger.info(f'{self.__class__.__name__}:data: {data}')
+
+        with get_httpx_client() as client:
+            with client.stream("POST", url, headers=headers, json=data) as response:
+                print(data)
+                for line in response.iter_lines():
+                    if not line.strip() or "[DONE]" in line:
+                        continue
+                    if line.startswith("data: "):
+                        line = line[6:]
+                    resp = json.loads(line)
+                    if choices := resp["choices"]:
+                        if chunk := choices[0].get("delta", {}).get("content"):
+                            text += chunk
+                            yield {
+                                    "error_code": 0,
+                                    "text": text
+                                }
+                        print(text)
+                    else:
+                        self.logger.error(f"请求 Azure API 时发生错误：{resp}")
+
+    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="You are a helpful, respectful and honest assistant.",
+            messages=[],
+            roles=["user", "assistant"],
+            sep="\n### ",
+            stop_str="###",
+        )
+
+
+if __name__ == "__main__":
+    import uvicorn
+    from server.utils import MakeFastAPIOffline
+    from fastchat.serve.base_model_worker import app
+
+    worker = AzureWorker(
+        controller_addr="http://127.0.0.1:20001",
+        worker_addr="http://127.0.0.1:21008",
+    )
+    sys.modules["fastchat.serve.model_worker"].worker = worker
+    MakeFastAPIOffline(app)
+    uvicorn.run(app, port=21008)