credentials = Credentials.Credentials(ak=ak, sk=sk, service="ml_maas", region="cn-beijing") self.service_info = ServiceInfo(maas_host, {"Accept": "application/json"}, credentials, 60... 用于和LLM 对话from langchain.llms.base import LLMclass ChatGLM(LLM): @property def _llm_type(self) -> str: return "chatglm" def _construct_query(self, prompt: str) -> Dict: ...
maven-resolver-connector-basic 1.7.1 org.apache.maven.resolver maven-resolver-transport-http 1.7.1 ```运行如下代码,就可以对项目进行打包了:```javaString[] commands = new String[] { "clean", "pac... this.request = new DefaultMavenExecutionRequest(); } public String[] getArgs() { return args; } public CommandLine getCommandLine() { return command...
{"Accept": "application/json"}, credentials, 60, 60, "https") self.api_info = API_INFOS super().__init__(self.service_info, self.api_info) client = MaaSClient(os.getenv("VOLC_ACCESSKEY"), os.getenv("VOLC_SECRETKEY")) #引入LLM Base,构造Volc GLM Client, 用于和LLM 对话 from langchain.llms.base import LLM...
这里会从火山引擎方舟平台大模型广场中选取一个大模型作为 LLM 来推理答案。选用开源框架 LangChain 作为构建端到端语言模型应用框架,简化整个聊天模型的链路。![picture.image](https://p6-volc-community-sig... credentials = Credentials.Credentials(ak=ak, sk=sk, service="ml_maas", region="cn-beijing") self.service_info = ServiceInfo(maas_host, {"Accept": "application/js...
tos.WithCredentials(tos.NewStaticCredentials(ak, sk))) checkErr(err) // 设置上传回掉参数 // 可以根据需求设置 Callback 参数 callback := ` { "callbackUrl" : "` + callbackUrl + `", "callbackBody" : "{\"bucket\": ${bucket}, \"object\": ${object}, \"key1\": ${x:key1}}", "callbackBodyType" : "application/json" }` // 配置相关变量参数 callback...
maven-resolver-connector-basic 1.7.1 org.apache.maven.resolver maven-resolver-transport-http 1.7.1 ```运行如下代码,就可以对项目进行打包了:```javaString[] commands = new String[] { "clean", "pac... this.request = new DefaultMavenExecutionRequest(); } public String[] getArgs() { return args; } public CommandLine getCommandLine() { return command...
{"Accept": "application/json"}, credentials, 60, 60, "https") self.api_info = API_INFOS super().__init__(self.service_info, self.api_info) client = MaaSClient(os.getenv("VOLC_ACCESSKEY"), os.getenv("VOLC_SECRETKEY")) #引入LLM Base,构造Volc GLM Client, 用于和LLM 对话 from langchain.llms.base import LLM...
这里会从火山引擎方舟平台大模型广场中选取一个大模型作为 LLM 来推理答案。选用开源框架 LangChain 作为构建端到端语言模型应用框架,简化整个聊天模型的链路。![picture.image](https://p6-volc-community-sig... credentials = Credentials.Credentials(ak=ak, sk=sk, service="ml_maas", region="cn-beijing") self.service_info = ServiceInfo(maas_host, {"Accept": "application/js...
> 更多技术交流、求职机会,欢迎关注字节跳动数据平台微信公众号,回复【1】进入官方交流群# Source Connector![picture.image](https://p6-volc-community-sign.byteimg.com/tos-cn-i-tlddhu82om/2aa0fe1da3584... not.*/boolean hasMoreElements(); /*** There will no more split will send to this source reader.* Source reader could be exited after process all assigned split.*/default void notifyNoMoreSp...
功能介绍使用服务账号调用火山引擎OpenAPI,获取SAMI音频技术API的服务鉴权Token。 接口说明请求地址open.volcengineapi.com 请求参数HTTP请求Content-Type: application/json 字段 描述 类型 是否必传 默认值 Serv... DefaultInstance.Client.ServiceInfo.Credentials = base.Credentials{Region: "cn-north-1", Service: "sami"} DefaultInstance.Client.SetAccessKey(accessKey) DefaultInstance.Client.SetSecretKey(secretKey)...
默认无超时时间设置。 您可以在初始化客户端时,通过 .setConnectTimeout(超时时间) 来指定客户端的请求超时时间,若未在该时间内完成,请求会立即终止并报超时错误。例如,您可以通过以下代码将客户端的请求超时时间设置为 10 秒。 java ApiClient client = new ApiClient() .setCredentials(credentials) .setRegion(region) .setEndpoint(host) .setConnectTimeout(10);创建 veDB MySQL 实例以下示例...
"Content-Type": "application/json", "Host": "api-knowledgebase.ml_platform.cn-beijing.volces.com", } r.set_headers(mheaders) if params: r.set_query(params) r.set_host("api-knowledgebase.ml_platform.cn-beijing.volces.com") r.set_path(path) if data is not None: r.set_body(json.dumps(data)) 生成签名 credentials = Credentials(ak, sk, "air", "cn-n...
mheaders = { "Accept": "application/json", "Content-Type": "application/json", "Host": "api-vikingdb.volces.com", } r.set_headers(mheaders) if params: r.set_query(params) r.set_host("api-vikingdb.volces.com") r.set_path(path) if data is not None: r.set_body(json.dumps(data)) 生成签名 credentials = Credentials(ak, sk, "air", "cn-nort...