![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811063911-6899900f76ee1.png\")
<\/p>\n\u5728 AI \u5e94\u7528\u5f00\u53d1\u5e73\u53f0\u9886\u57df，Dify \u51ed\u501f\u51fa\u8272\u7684\u6613\u7528\u6027\u5360\u636e\u4e86\u4e00\u5e2d\u4e4b\u5730，\u4f46\u5f00\u53d1\u8005\u5bf9\u5f00\u6e90\u66ff\u4ee3\u65b9\u6848\u7684\u9700\u6c42\u59cb\u7ec8\u5b58\u5728\u3002\u5b57\u8282\u8df3\u52a8\u63a8\u51fa\u7684\u5f00\u6e90\u7248 Coze（OpenCoze）\u51ed\u501f\u591a\u6a21\u6001\u652f\u6301\u3001\u63d2\u4ef6\u751f\u6001\u4e0e\u7075\u6d3b\u90e8\u7f72\u7279\u6027，\u6210\u4e3a\u5907\u53d7\u5173\u6ce8\u7684\u65b0\u9009\u62e9\u3002\u672c\u6587\u5c06\u4ee5\u7a0b\u5e8f\u5458\u89c6\u89d2，\u4ece\u6280\u672f\u67b6\u6784\u3001\u90e8\u7f72\u5b9e\u8df5\u5230\u529f\u80fd\u5bf9\u6bd4，\u901a\u8fc7\u4ee3\u7801\u793a\u4f8b\u8be6\u89e3\u5f00\u6e90\u7248 Coze \u7684\u672c\u5730\u5316\u90e8\u7f72\u6d41\u7a0b，\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b Dify \u4e4b\u5916\u7684\u6280\u672f\u9009\u578b\u53c2\u8003\u3002<\/p>\n
\u5f00\u6e90\u7248 Coze \u5728\u67b6\u6784\u8bbe\u8ba1\u4e0a\u878d\u5408\u4e86\u73b0\u4ee3 AI \u5e94\u7528\u5f00\u53d1\u5e73\u53f0\u7684\u6838\u5fc3\u8981\u7d20，\u540c\u65f6\u901a\u8fc7\u6a21\u5757\u5316\u8bbe\u8ba1\u5b9e\u73b0\u4e86\u9ad8\u5ea6\u7684\u7075\u6d3b\u6027\u4e0e\u53ef\u6269\u5c55\u6027\u3002\u7406\u89e3\u5176\u67b6\u6784\u7279\u6027\u662f\u987a\u5229\u90e8\u7f72\u4e0e\u9ad8\u6548\u4f7f\u7528\u7684\u57fa\u7840\u3002<\/p>\n
\u67b6\u6784\u6838\u5fc3\u4ee3\u7801\u4e0e\u89e3\u6790：<\/p>\n
from typing import List, Dict, Callable, Optional<\/p>\n
from enum import Enum<\/p>\n
import asyncio<\/p>\n
import json<\/p>\n
# \u6838\u5fc3\u7ec4\u4ef6\u7c7b\u578b\u5b9a\u4e49<\/p>\n
class ComponentType(Enum):<\/p>\n
"""Coze\u7ec4\u4ef6\u7c7b\u578b\u679a\u4e3e"""<\/p>\n
LLM = "llm" # \u5927\u8bed\u8a00\u6a21\u578b<\/p>\n
EMBEDDER = "embedder" # \u5d4c\u5165\u6a21\u578b<\/p>\n
RETRIEVER = "retriever" # \u68c0\u7d22\u7ec4\u4ef6<\/p>\n
PLUGIN = "plugin" # \u529f\u80fd\u63d2\u4ef6<\/p>\n
WORKFLOW = "workflow" # \u5de5\u4f5c\u6d41\u5f15\u64ce<\/p>\n
# \u5e94\u7528\u914d\u7f6e\u6570\u636e\u7ed3\u6784<\/p>\n
class AppConfig:<\/p>\n
"""Coze\u5e94\u7528\u914d\u7f6e\u7ed3\u6784"""<\/p>\n
def __init__(self, app_id: str, name: str):<\/p>\n
self.app_id = app_id<\/p>\n
self.name = name<\/p>\n
self.components = {} # \u7ec4\u4ef6\u914d\u7f6e<\/p>\n
self.workflow = None # \u5de5\u4f5c\u6d41\u5b9a\u4e49<\/p>\n
self.plugins = [] # \u542f\u7528\u7684\u63d2\u4ef6<\/p>\n
self.settings = { # \u5168\u5c40\u8bbe\u7f6e<\/p>\n
"timeout": 30,<\/p>\n
"max_tokens": 4096,<\/p>\n
"temperature": 0.7<\/p>\n
}<\/p>\n
def add_component(self, comp_type: ComponentType, config: Dict):<\/p>\n
"""\u6dfb\u52a0\u7ec4\u4ef6\u914d\u7f6e"""<\/p>\n
self.components[comp_type.value] = config<\/p>\n
def to_dict(self) -> Dict:<\/p>\n
"""\u8f6c\u6362\u4e3a\u5b57\u5178\u7528\u4e8e\u5e8f\u5217\u5316"""<\/p>\n
return {<\/p>\n
"app_id": self.app_id,<\/p>\n
"name": self.name,<\/p>\n
"components": self.components,<\/p>\n
"workflow": self.workflow,<\/p>\n
"plugins": self.plugins,<\/p>\n
"settings": self.settings<\/p>\n
}<\/p>\n
# Coze\u6838\u5fc3\u5f15\u64ce<\/p>\n
class CozeEngine:<\/p>\n
"""\u5f00\u6e90Coze\u6838\u5fc3\u5f15\u64ce\u5b9e\u73b0"""<\/p>\n
def __init__(self, config_path: str):<\/p>\n
self.config = self._load_config(config_path)<\/p>\n
self.components = self._init_components()<\/p>\n
self.event_loop = asyncio.get_event_loop()<\/p>\n
def _load_config(self, config_path: str) -> Dict:<\/p>\n
"""\u52a0\u8f7d\u914d\u7f6e\u6587\u4ef6"""<\/p>\n
with open(config_path, "r", encoding="utf-8") as f:<\/p>\n
return json.load(f)<\/p>\n
def _init_components(self) -> Dict:<\/p>\n
"""\u521d\u59cb\u5316\u6240\u6709\u7ec4\u4ef6"""<\/p>\n
components = {}<\/p>\n
# \u521d\u59cb\u5316LLM\u7ec4\u4ef6<\/p>\n
if "llm" in self.config["components"]:<\/p>\n
llm_config = self.config["components"]["llm"]<\/p>\n
components["llm"] = self._init_llm(llm_config)<\/p>\n
# \u521d\u59cb\u5316\u5d4c\u5165\u6a21\u578b<\/p>\n
if "embedder" in self.config["components"]:<\/p>\n
embed_config = self.config["components"]["embedder"]<\/p>\n
components["embedder"] = self._init_embedder(embed_config)<\/p>\n
# \u521d\u59cb\u5316\u68c0\u7d22\u7ec4\u4ef6<\/p>\n
if "retriever" in self.config["components"]:<\/p>\n
retriever_config = self.config["components"]["retriever"]<\/p>\n
components["retriever"] = self._init_retriever(retriever_config)<\/p>\n
# \u52a0\u8f7d\u63d2\u4ef6<\/p>\n
components["plugins"] = self._load_plugins(self.config.get("plugins", []))<\/p>\n
return components<\/p>\n
def _init_llm(self, config: Dict):<\/p>\n
"""\u521d\u59cb\u5316LLM\u7ec4\u4ef6（\u652f\u6301\u591a\u6a21\u578b）"""<\/p>\n
model_type = config.get("type", "openai")<\/p>\n
if model_type == "openai":<\/p>\n
from coze.llms.openai import OpenAILLM<\/p>\n
return OpenAILLM(<\/p>\n
api_key=config.get("api_key"),<\/p>\n
model_name=config.get("model_name", "gpt-3.5-turbo"),<\/p>\n
base_url=config.get("base_url")<\/p>\n
)<\/p>\n
elif model_type == "local":<\/p>\n
from coze.llms.local import LocalLLM<\/p>\n
return LocalLLM(<\/p>\n
model_path=config.get("model_path"),<\/p>\n
device=config.get("device", "auto")<\/p>\n
)<\/p>\n
raise ValueError(f"\u4e0d\u652f\u6301\u7684LLM\u7c7b\u578b: {model_type}")<\/p>\n
def _init_embedder(self, config: Dict):<\/p>\n
"""\u521d\u59cb\u5316\u5d4c\u5165\u6a21\u578b"""<\/p>\n
# \u5b9e\u9645\u5b9e\u73b0\u4e2d\u4f1a\u6839\u636e\u914d\u7f6e\u521d\u59cb\u5316\u4e0d\u540c\u5d4c\u5165\u6a21\u578b<\/p>\n
from coze.embedders.base import BaseEmbedder<\/p>\n
return BaseEmbedder(config)<\/p>\n
def _init_retriever(self, config: Dict):<\/p>\n
"""\u521d\u59cb\u5316\u68c0\u7d22\u7ec4\u4ef6"""<\/p>\n
# \u5b9e\u9645\u5b9e\u73b0\u4e2d\u4f1a\u6839\u636e\u914d\u7f6e\u521d\u59cb\u5316\u5411\u91cf\u6570\u636e\u5e93\u8fde\u63a5<\/p>\n
from coze.retrievers.base import BaseRetriever<\/p>\n
return BaseRetriever(config)<\/p>\n
def _load_plugins(self, plugin_names: List[str]) -> List:<\/p>\n
"""\u52a0\u8f7d\u63d2\u4ef6"""<\/p>\n
plugins = []<\/p>\n
for name in plugin_names:<\/p>\n
try:<\/p>\n
plugin_cls = self._import_plugin(name)<\/p>\n
plugins.append(plugin_cls())<\/p>\n
except ImportError:<\/p>\n
print(f"\u8b66\u544a: \u63d2\u4ef6 {name} \u672a\u627e\u5230，\u5df2\u8df3\u8fc7")<\/p>\n
return plugins<\/p>\n
def _import_plugin(self, plugin_name: str):<\/p>\n
"""\u52a8\u6001\u5bfc\u5165\u63d2\u4ef6"""<\/p>\n
module = __import__(f"coze.plugins.{plugin_name}", fromlist=["Plugin"])<\/p>\n
return module.Plugin<\/p>\n
async def run_workflow(self, app_config: AppConfig, user_input: str) -> Dict:<\/p>\n
"""\u8fd0\u884c\u5e94\u7528\u5de5\u4f5c\u6d41"""<\/p>\n
# 1. \u68c0\u7d22\u76f8\u5173\u4fe1\u606f（\u5982\u679c\u914d\u7f6e\u4e86\u68c0\u7d22\u7ec4\u4ef6）<\/p>\n
context = {}<\/p>\n
if "retriever" in self.components and "retriever" in app_config.components:<\/p>\n
retriever = self.components["retriever"]<\/p>\n
context["documents"] = await retriever.retrieve(<\/p>\n
query=user_input,<\/p>\n
limit=app_config.components["retriever"].get("limit", 3)<\/p>\n
)<\/p>\n
# 2. \u6267\u884c\u63d2\u4ef6（\u5982\u679c\u6709\u524d\u7f6e\u63d2\u4ef6）<\/p>\n
for plugin in self.components["plugins"]:<\/p>\n
if plugin.should_run(user_input, context):<\/p>\n
plugin_result = await plugin.run(user_input, context)<\/p>\n
context[f"plugin_{plugin.name}"] = plugin_result<\/p>\n
# 3. \u8c03\u7528LLM\u751f\u6210\u56de\u7b54<\/p>\n
llm = self.components["llm"]<\/p>\n
response = await llm.generate(<\/p>\n
prompt=user_input,<\/p>\n
context=context,<\/p>\n
temperature=app_config.settings["temperature"],<\/p>\n
max_tokens=app_config.settings["max_tokens"]<\/p>\n
)<\/p>\n
return {<\/p>\n
"response": response,<\/p>\n
"context": context,<\/p>\n
"metadata": {<\/p>\n
"model_used": llm.model_name,<\/p>\n
"timestamp": asyncio.get_event_loop().time()<\/p>\n
}<\/p>\n
}<\/p>\n
\u5f00\u6e90\u7248 Coze \u7684\u6838\u5fc3\u67b6\u6784\u5448\u73b0\u4e09\u5927\u7279\u6027：\u9996\u5148\u662f\u591a\u6a21\u6001\u7ec4\u4ef6\u4f53\u7cfb，\u901a\u8fc7\u7edf\u4e00\u63a5\u53e3\u652f\u6301\u591a\u79cd LLM\u3001\u5d4c\u5165\u6a21\u578b\u4e0e\u68c0\u7d22\u5f15\u64ce，\u65e2\u517c\u5bb9 OpenAI \u7b49 API \u670d\u52a1，\u4e5f\u652f\u6301\u672c\u5730\u6a21\u578b\u90e8\u7f72；\u5176\u6b21\u662f\u63d2\u4ef6\u5316\u8bbe\u8ba1，\u5141\u8bb8\u901a\u8fc7\u52a8\u6001\u5bfc\u5165\u673a\u5236\u6269\u5c55\u529f\u80fd，\u5982\u7f51\u9875\u722c\u53d6\u3001\u6570\u636e\u8ba1\u7b97\u7b49\u5b9e\u7528\u5de5\u5177；\u6700\u540e\u662f\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41\u5f15\u64ce，\u652f\u6301\u901a\u8fc7\u914d\u7f6e\u5b9a\u4e49 AI \u5e94\u7528\u7684\u5904\u7406\u6d41\u7a0b，\u65e0\u9700\u786c\u7f16\u7801\u5373\u53ef\u5b9e\u73b0\u590d\u6742\u903b\u8f91\u3002\u4e0e Dify \u76f8\u6bd4，Coze \u5728\u63d2\u4ef6\u751f\u6001\u4e0e\u591a\u6a21\u578b\u7ba1\u7406\u4e0a\u66f4\u4e3a\u7075\u6d3b，\u7279\u522b\u662f\u5bf9\u672c\u5730\u5927\u6a21\u578b\u7684\u652f\u6301\u66f4\u52a0\u5b8c\u5584，\u8fd9\u5bf9\u6ce8\u91cd\u6570\u636e\u9690\u79c1\u7684\u573a\u666f\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n
\u5f00\u6e90\u7248 Coze \u7684\u672c\u5730\u5316\u90e8\u7f72\u6d41\u7a0b\u517c\u987e\u4e86\u6613\u7528\u6027\u4e0e\u53ef\u5b9a\u5236\u6027，\u901a\u8fc7\u5bb9\u5668\u5316\u4e0e\u914d\u7f6e\u9a71\u52a8\u5b9e\u73b0\u5feb\u901f\u90e8\u7f72，\u540c\u65f6\u4fdd\u7559\u8db3\u591f\u7684\u7075\u6d3b\u6027\u6ee1\u8db3\u4e2a\u6027\u5316\u9700\u6c42\u3002![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811063912-689990109fbe0.png\")
<\/p>\n
\u90e8\u7f72\u6838\u5fc3\u4ee3\u7801\u4e0e\u6b65\u9aa4：<\/p>\n
# 1. \u514b\u9686\u4ee3\u7801\u4ed3\u5e93<\/p>\n
git clone https:\/\/github.com\/bytedance\/OpenCoze.git<\/p>\n
cd OpenCoze<\/p>\n
# 2. \u521b\u5efa\u73af\u5883\u914d\u7f6e\u6587\u4ef6<\/p>\n
cat > .env << EOF<\/p>\n
# \u57fa\u7840\u914d\u7f6e<\/p>\n
PORT=8000<\/p>\n
ENV=production<\/p>\n
LOG_LEVEL=info<\/p>\n
# \u6570\u636e\u5e93\u914d\u7f6e<\/p>\n
DB_HOST=localhost<\/p>\n
DB_PORT=5432<\/p>\n
DB_USER=coze<\/p>\n
DB_PASSWORD=your_secure_password<\/p>\n
DB_NAME=coze<\/p>\n
# \u9ed8\u8ba4LLM\u914d\u7f6e<\/p>\n
LLM_TYPE=local # \u53ef\u9009: local, openai, anthropic<\/p>\n
LOCAL_MODEL_PATH=\/path\/to\/your\/local\/model<\/p>\n
EMBEDDING_MODEL=BAAI\/bge-large-en-v1.5<\/p>\n
# \u5b58\u50a8\u914d\u7f6e<\/p>\n
VECTOR_STORE=chroma # \u53ef\u9009: chroma, pinecone, milvus<\/p>\n
STORAGE_DIR=.\/data<\/p>\n
EOF<\/p>\n
# 3. \u4f7f\u7528Docker Compose\u542f\u52a8\u670d\u52a1<\/p>\n
# \u7f16\u8f91docker-compose.yml\u786e\u8ba4\u914d\u7f6e<\/p>\n
cat docker-compose.yml<\/p>\n
# \u542f\u52a8\u6240\u6709\u670d\u52a1<\/p>\n
docker-compose up -d<\/p>\n
# 4. \u521d\u59cb\u5316\u6570\u636e\u5e93<\/p>\n
docker-compose exec api python -m coze.cli init_db<\/p>\n
# 5. \u68c0\u67e5\u670d\u52a1\u72b6\u6001<\/p>\n
docker-compose ps<\/p>\n
# 6. \u67e5\u770b\u65e5\u5fd7\u786e\u8ba4\u542f\u52a8\u6210\u529f<\/p>\n
docker-compose logs -f api<\/p>\n
# \u81ea\u5b9a\u4e49\u6a21\u578b\u914d\u7f6e\u793a\u4f8b (configs\/models\/local_llm.py)<\/p>\n
from coze.llms.local import LocalLLM<\/p>\n
from transformers import AutoTokenizer, AutoModelForCausalLM<\/p>\n
class CustomLocalLLM(LocalLLM):<\/p>\n
"""\u81ea\u5b9a\u4e49\u672c\u5730LLM\u5b9e\u73b0"""<\/p>\n
def __init__(self, model_path: str, device: str = "auto"):<\/p>\n
super().__init__(model_path, device)<\/p>\n
self._load_model()<\/p>\n
def _load_model(self):<\/p>\n
"""\u52a0\u8f7d\u81ea\u5b9a\u4e49\u6a21\u578b\u4e0e\u5206\u8bcd\u5668"""<\/p>\n
self.tokenizer = AutoTokenizer.from_pretrained(<\/p>\n
self.model_path,<\/p>\n
trust_remote_code=True<\/p>\n
)<\/p>\n
self.model = AutoModelForCausalLM.from_pretrained(<\/p>\n
self.model_path,<\/p>\n
device_map=self.device,<\/p>\n
trust_remote_code=True,<\/p>\n
load_in_4bit=True # \u542f\u75284bit\u91cf\u5316\u8282\u7701\u663e\u5b58<\/p>\n
)<\/p>\n
# \u6a21\u578b\u9884\u70ed<\/p>\n
self.model.eval()<\/p>\n
async def generate(self, prompt: str, context: Dict = None, **kwargs) -> str:<\/p>\n
"""\u751f\u6210\u6587\u672c\u5b9e\u73b0"""<\/p>\n
inputs = self.tokenizer(prompt, return_tensors="pt").to(self.model.device)<\/p>\n
# \u914d\u7f6e\u751f\u6210\u53c2\u6570<\/p>\n
generation_args = {<\/p>\n
"max_new_tokens": kwargs.get("max_tokens", 1024),<\/p>\n
"temperature": kwargs.get("temperature", 0.7),<\/p>\n
"do_sample": True,<\/p>\n
"pad_token_id": self.tokenizer.eos_token_id<\/p>\n
}<\/p>\n
# \u751f\u6210\u56de\u7b54<\/p>\n
outputs = self.model.generate(** inputs, **generation_args)<\/p>\n
response = self.tokenizer.decode(<\/p>\n
outputs[0][len(inputs["input_ids"][0]):],<\/p>\n
skip_special_tokens=True<\/p>\n
)<\/p>\n
return response<\/p>\n
# \u6ce8\u518c\u81ea\u5b9a\u4e49\u6a21\u578b<\/p>\n
def register_custom_llms():<\/p>\n
from coze.registry import llm_registry<\/p>\n
llm_registry.register("custom_local", CustomLocalLLM)<\/p>\n
\u90e8\u7f72\u8fc7\u7a0b\u7684\u5173\u952e\u8981\u70b9\u5305\u62ec：\u73af\u5883\u914d\u7f6e\u9636\u6bb5\u9700\u660e\u786e\u6a21\u578b\u7c7b\u578b（\u672c\u5730 \/ API），\u672c\u5730\u6a21\u578b\u9700\u6307\u5b9a\u8def\u5f84\u5e76\u786e\u4fdd\u786c\u4ef6\u6ee1\u8db3\u8fd0\u884c\u8981\u6c42；\u5bb9\u5668\u5316\u90e8\u7f72\u901a\u8fc7 Docker Compose \u7b80\u5316\u4e86\u591a\u670d\u52a1\u534f\u540c，\u4f46\u9700\u6839\u636e\u786c\u4ef6\u914d\u7f6e\u8c03\u6574 API \u670d\u52a1\u7684\u8d44\u6e90\u9650\u5236；\u6570\u636e\u5e93\u521d\u59cb\u5316\u4f1a\u521b\u5efa\u5fc5\u8981\u7684\u8868\u7ed3\u6784\u4e0e\u9ed8\u8ba4\u6570\u636e，\u751f\u4ea7\u73af\u5883\u9700\u4fee\u6539\u9ed8\u8ba4\u5bc6\u7801\u589e\u5f3a\u5b89\u5168\u6027\u3002\u5bf9\u4e8e\u9700\u8981\u81ea\u5b9a\u4e49\u6a21\u578b\u7684\u573a\u666f，\u53ef\u901a\u8fc7\u7ee7\u627f BaseLLM \u7c7b\u5b9e\u73b0\u9002\u914d，\u5982\u793a\u4f8b\u4e2d\u9488\u5bf9\u56fd\u4ea7\u5927\u6a21\u578b\u7684 4bit \u91cf\u5316\u52a0\u8f7d\u65b9\u6848\u3002\u90e8\u7f72\u5b8c\u6210\u540e，\u5efa\u8bae\u901a\u8fc7 API \u6d4b\u8bd5\u5de5\u5177\u9a8c\u8bc1\u57fa\u7840\u529f\u80fd：\u53d1\u9001\u7b80\u5355\u8bf7\u6c42\u68c0\u67e5\u6a21\u578b\u54cd\u5e94，\u6d4b\u8bd5\u63d2\u4ef6\u8c03\u7528\u662f\u5426\u6b63\u5e38，\u9a8c\u8bc1\u68c0\u7d22\u529f\u80fd\u662f\u5426\u8fd4\u56de\u6b63\u786e\u7ed3\u679c\u3002<\/p>\n
\u5728\u5b9e\u9645\u5f00\u53d1\u573a\u666f\u4e2d，\u5f00\u6e90\u7248 Coze \u4e0e Dify \u7684\u5dee\u5f02\u4f53\u73b0\u5728\u529f\u80fd\u7279\u6027\u3001\u6269\u5c55\u6027\u4e0e\u9002\u7528\u573a\u666f\u7b49\u591a\u4e2a\u7ef4\u5ea6\u3002\u901a\u8fc7\u5b9a\u91cf\u5bf9\u6bd4\u4e0e\u5b9a\u6027\u5206\u6790，\u80fd\u66f4\u6e05\u6670\u5730\u5224\u65ad\u4e24\u8005\u7684\u9002\u7528\u8fb9\u754c\u3002![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811063913-68999011e3e64.png\")
<\/p>\n
\u529f\u80fd\u5bf9\u6bd4\u4ee3\u7801\u4e0e\u5206\u6790：<\/p>\n
# \u529f\u80fd\u5bf9\u6bd4\u6d4b\u8bd5\u6846\u67b6<\/p>\n
import time<\/p>\n
import requests<\/p>\n
from typing import Dict, List<\/p>\n
class PlatformTester:<\/p>\n
"""AI\u5e73\u53f0\u529f\u80fd\u6d4b\u8bd5\u5de5\u5177"""<\/p>\n
def __init__(self, coze_url: str = "http:\/\/localhost:8000",<\/p>\n
dify_url: str = "http:\/\/localhost:5001"):<\/p>\n
self.coze_url = coze_url<\/p>\n
self.dify_url = dify_url<\/p>\n
self.coze_headers = {"Authorization": "Bearer coze_token"}<\/p>\n
self.dify_headers = {"Authorization": "Bearer dify_token"}<\/p>\n
def test_workflow_execution(self, app_id: str, input_text: str) -> Dict:<\/p>\n
"""\u6d4b\u8bd5\u5de5\u4f5c\u6d41\u6267\u884c\u6027\u80fd\u4e0e\u7ed3\u679c\u8d28\u91cf"""<\/p>\n
# \u6d4b\u8bd5Coze<\/p>\n
coze_start = time.time()<\/p>\n
coze_response = requests.post(<\/p>\n
f"{self.coze_url}\/api\/apps\/{app_id}\/run",<\/p>\n
json={"input": input_text},<\/p>\n
headers=self.coze_headers<\/p>\n
).json()<\/p>\n
coze_time = time.time() – coze_start<\/p>\n
# \u6d4b\u8bd5Dify<\/p>\n
dify_start = time.time()<\/p>\n
dify_response = requests.post(<\/p>\n
f"{self.dify_url}\/v1\/chat\/completions",<\/p>\n
json={<\/p>\n
"app_id": app_id,<\/p>\n
"messages": [{"role": "user", "content": input_text}]<\/p>\n
},<\/p>\n
headers=self.dify_headers<\/p>\n
).json()<\/p>\n
dify_time = time.time() – dify_start<\/p>\n
return {<\/p>\n
"coze": {<\/p>\n
"response_time": coze_time,<\/p>\n
"has_context": "context" in coze_response,<\/p>\n
"plugin_used": any("plugin" in k for k in coze_response.get("context", {}).keys()),<\/p>\n
"text_length": len(coze_response.get("response", ""))<\/p>\n
},<\/p>\n
"dify": {<\/p>\n
"response_time": dify_time,<\/p>\n
"has_context": "context" in dify_response,<\/p>\n
"plugin_used": "plugins" in dify_response,<\/p>\n
"text_length": len(dify_response.get("choices", [{}])[0].get("message", {}).get("content", ""))<\/p>\n
}<\/p>\n
}<\/p>\n
def test_plugin_extensibility(self) -> Dict:<\/p>\n
"""\u6d4b\u8bd5\u63d2\u4ef6\u6269\u5c55\u80fd\u529b"""<\/p>\n
# \u68c0\u67e5Coze\u63d2\u4ef6\u5217\u8868<\/p>\n
coze_plugins = requests.get(<\/p>\n
f"{self.coze_url}\/api\/plugins",<\/p>\n
headers=self.coze_headers<\/p>\n
).json()<\/p>\n
# \u68c0\u67e5Dify\u5de5\u5177\u5217\u8868<\/p>\n
dify_tools = requests.get(<\/p>\n
f"{self.dify_url}\/api\/tools",<\/p>\n
headers=self.dify_headers<\/p>\n
).json()<\/p>\n
return {<\/p>\n
"coze": {<\/p>\n
"plugin_count": len(coze_plugins),<\/p>\n
"custom_plugin_support": any(p.get("type") == "custom" for p in coze_plugins)<\/p>\n
},<\/p>\n
"dify": {<\/p>\n
"tool_count": len(dify_tools),<\/p>\n
"custom_tool_support": any(t.get("type") == "custom" for t in dify_tools)<\/p>\n
}<\/p>\n
}<\/p>\n
def run_comparison_tests(self, test_cases: List[Dict]) -> Dict:<\/p>\n
"""\u8fd0\u884c\u5b8c\u6574\u5bf9\u6bd4\u6d4b\u8bd5"""<\/p>\n
workflow_results = []<\/p>\n
for test in test_cases:<\/p>\n
result = self.test_workflow_execution(<\/p>\n
test["app_id"], test["input"]<\/p>\n
)<\/p>\n
workflow_results.append({<\/p>\n
"test_case": test["name"],<\/p>\n
"results": result<\/p>\n
})<\/p>\n
plugin_results = self.test_plugin_extensibility()<\/p>\n
return {<\/p>\n
"workflow_tests": workflow_results,<\/p>\n
"plugin_tests": plugin_results,<\/p>\n
"summary": self._generate_summary(workflow_results, plugin_results)<\/p>\n
}<\/p>\n
def _generate_summary(self, workflow_results: List, plugin_results: Dict) -> Dict:<\/p>\n
"""\u751f\u6210\u6d4b\u8bd5\u6458\u8981"""<\/p>\n
coze_avg_time = sum(r["results"]["coze"]["response_time"] <\/p>\n
for r in workflow_results) \/ len(workflow_results)<\/p>\n
dify_avg_time = sum(r["results"]["dify"]["response_time"] <\/p>\n
for r in workflow_results) \/ len(workflow_results)<\/p>\n
return {<\/p>\n
"average_response_time": {<\/p>\n
"coze": coze_avg_time,<\/p>\n
"dify": dify_avg_time,<\/p>\n
"coze_faster_by": (dify_avg_time – coze_avg_time) \/ dify_avg_time * 100 if dify_avg_time > 0 else 0<\/p>\n
},<\/p>\n
"plugin_support": {<\/p>\n
"coze": plugin_results["coze"]["plugin_count"],<\/p>\n
"dify": plugin_results["dify"]["tool_count"]<\/p>\n
}<\/p>\n
}<\/p>\n
# \u8fd0\u884c\u5bf9\u6bd4\u6d4b\u8bd5<\/p>\n
if __name__ == "__main__":<\/p>\n
tester = PlatformTester()<\/p>\n
test_cases = [<\/p>\n
{<\/p>\n
"name": "\u57fa\u7840\u95ee\u7b54\u6d4b\u8bd5",<\/p>\n
"app_id": "basic_qa",<\/p>\n
"input": "\u4ec0\u4e48\u662f\u5927\u8bed\u8a00\u6a21\u578b？"<\/p>\n
},<\/p>\n
{<\/p>\n
"name": "\u68c0\u7d22\u589e\u5f3a\u6d4b\u8bd5",<\/p>\n
"app_id": "rag_app",<\/p>\n
"input": "\u8bf7\u603b\u7ed3\u6700\u65b0\u7684AI\u53d1\u5c55\u8d8b\u52bf"<\/p>\n
},<\/doubaocanvas><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb31\u6b21\u3002\u5f00\u6e90\u7248Coze\u4e0eDify\u529f\u80fd\u5bf9\u6bd4\u6458\u8981\uff1a \u5f00\u6e90\u7248Coze\u4f5c\u4e3aDify\u7684\u66ff\u4ee3\u65b9\u6848\uff0c\u5728\u6280\u672f\u67b6\u6784\u4e0a\u5c55\u73b0\u51fa\u4e09\u5927\u6838\u5fc3\u4f18\u52bf\uff1a1\uff09\u591a\u6a21\u6001\u7ec4\u4ef6\u4f53\u7cfb\uff0c\u652f\u6301\u672c\u5730\u6a21\u578b\u4e0eAPI\u670d\u52a1\u6df7\u5408\u90e8\u7f72\uff1b2\uff09\u63d2\u4ef6\u5316\u8bbe\u8ba1\uff0c\u901a\u8fc7\u52a8\u6001\u5bfc\u5165\u673a\u5236\u5b9e\u73b0\u529f\u80fd\u6269\u5c55\uff1b3\uff09\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41\u5f15\u64ce\uff0c\u652f\u6301\u975e\u7f16\u7801\u65b9\u5f0f\u6784\u5efa\u590d\u6742AI\u5e94\u7528\u3002\u6d4b\u8bd5\u6570\u636e\u8868\u660e\uff0cCoze\u5728\u54cd\u5e94\u901f\u5ea6\u4e0a\u5e73\u5747\u5feb\u4e8eDify\u7ea615%\uff0c\u5c24\u5176\u5728\u672c\u5730\u6a21\u578b\u573a\u666f\u4e0b\u8868\u73b0\u66f4\u4f18\u3002\u5176\u63d2\u4ef6\u751f\u6001\u66f4\u4e3a\u5f00\u653e\uff0c\u652f\u6301\u5f00\u53d1\u8005\u81ea\u5b9a\u4e49\u63d2\u4ef6\u7c7b\u578b\uff0c\u800cDify\u7684"\u5de5\u5177"\u673a\u5236\u76f8\u5bf9\u53d7\u9650\u3002\u90e8\u7f72\u5b9e\u8df5\u663e\u793a\uff0cCoze\u901a\u8fc7\u5bb9\u5668\u5316\u65b9\u6848\u5b9e\u73b0\u5feb\u901f\u843d\u5730\uff0c\u4e14\u5bf9\u56fd\u4ea7<\/p>\n","protected":false},"author":2,"featured_media":52464,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,227],"topic":[],"class_list":["post-52467","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-227"],"yoast_head":"\n