client = openai.OpenAI(api_key=OPENAI_API_KEY) embedding_model_name = "text-embedding-ada-002" result = client.embeddings.create( input=[ "This is a sentence", "A second sentence" ], model=embedding_model_name,
response = await openai_async_client.embeddings.create( File "/home/ws_0802/anaconda3/envs/lightrag/lib/python3.10/site-packages/openai/resources/embeddings.py", line 236, in create return await self._post( File "/home/ws_0802/anaconda3/envs/lightrag/lib/python3.10/site-packages/openai/_ba...
# 旧版:自动更新 client.chat.completions.create(model="gpt-4",...)# 新版:手动控制ifneed_custom_update:client.update_manually("gpt-4",params={"temperature":0.7}) 3.性能调优建议: • 使用NotGiven占位符替代None以触发优化逻辑。 • 对批量请求启用异步模式(Async Client),充分释放性能潜力。 🚨...
openai.ChatCompletion.create() client.chat.completions.create() openai.Completion.create() client.completions.create() openai.Edit.create() client.edits.create() openai.Embedding.create() client.embeddings.create() openai.File.create() client.files.create() openai.File.list() client.files.list()...
requestOptions - The options to configure the HTTP request before HTTP client sends it. Returns: representation of the response data from an embeddings request. Embeddings measure the relatedness of text strings and are commonly used for search, clustering, recommendations, and other similar scenarios...
async_client.create( input=text, **self._invocation_params input=texts[i : i + chunk_size_], **self._invocation_params ) if not isinstance(response, dict): response = response.dict()9 changes: 9 additions & 0 deletions 9 libs/partners/openai/tests/integration_tests/embeddings/test_base....
open_ai_client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY")) response = open_ai_client.embeddings.create( input=[query], model="text-embedding-3-small" ) return response.data[0].embedding def generate_result(query: str, entities, relationships): open_ai_client = openai.OpenAI(api...
see:https://platform.openai.com/docs/api-reference/chat/create#chat/create-stream Code import{CreateChatCompletionStreamResponse,}from'openai-api-client'// Return nothing when the 'stream' option is truevoidopenAI.createChatCompletion({requestBody:{model:'gpt-3.5-turbo-0613',stream:true,messages:...
importasyncioimportosfromopenaiimportAsyncOpenAI client = AsyncOpenAI(# 替换为您需要调用的模型服务Base Urlbase_url="<BASE_URL>",# 环境变量中配置您的API Keyapi_key=os.environ.get("ARK_API_KEY") )asyncdefmain() ->None: stream =awaitclient.chat.completions.create( model="<Model>", messages=...
import{createClient}from'openai-tokens'constclient=createClient({key:'your-openai-key-here',limit:1000// Maybe add a limit if you want})constresponse=awaitclient.gpt('Is this working?')console.log(response.content)// 'Yes, it seems like we are connected!' ...