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-rw-r--r--data/zh_cn/paillmtrace/2024-03-11/api-docs.php2754
1 files changed, 936 insertions, 1818 deletions
diff --git a/data/zh_cn/paillmtrace/2024-03-11/api-docs.php b/data/zh_cn/paillmtrace/2024-03-11/api-docs.php
index fdee6ea..8128026 100644
--- a/data/zh_cn/paillmtrace/2024-03-11/api-docs.php
+++ b/data/zh_cn/paillmtrace/2024-03-11/api-docs.php
@@ -1,52 +1,30 @@
<?php return [
'version' => '1.0',
- 'info' => [
- 'style' => 'ROA',
- 'product' => 'PaiLLMTrace',
- 'version' => '2024-03-11',
- ],
+ 'info' => ['style' => 'ROA', 'product' => 'PaiLLMTrace', 'version' => '2024-03-11'],
'directories' => [
[
- 'id' => 208975,
- 'title' => '评估单条链路数据',
+ 'children' => ['EvaluateTrace'],
'type' => 'directory',
- 'children' => [
- 'EvaluateTrace',
- ],
+ 'title' => '评估单条链路数据',
+ 'id' => 128815,
],
[
- 'id' => 204454,
- 'title' => '链路评估任务',
+ 'children' => ['DeleteOnlineEvalTask', 'GetEvaluationTemplates', 'GetOnlineEvalTask', 'ListOnlineEvalTaskResults', 'ListOnlineEvalTasks', 'StopOnlineEvalTask', 'UpdateOnlineEvalTask', 'CreateOnlineEvalTask'],
'type' => 'directory',
- 'children' => [
- 'DeleteOnlineEvalTask',
- 'GetEvaluationTemplates',
- 'GetOnlineEvalTask',
- 'ListOnlineEvalTaskResults',
- 'ListOnlineEvalTasks',
- 'StopOnlineEvalTask',
- 'UpdateOnlineEvalTask',
- 'CreateOnlineEvalTask',
- ],
+ 'title' => '链路评估任务',
+ 'id' => 128817,
],
[
- 'id' => 204463,
- 'title' => '链路追踪',
+ 'children' => ['ListTracesDatas'],
'type' => 'directory',
- 'children' => [
- 'ListTracesDatas',
- ],
+ 'title' => '链路追踪',
+ 'id' => 128826,
],
[
- 'id' => 205090,
- 'title' => '其他',
+ 'children' => ['GetXtraceToken', 'CreateServiceIdentityRole', 'GetServiceIdentityRole', 'ListEvalResults'],
'type' => 'directory',
- 'children' => [
- 'CreateServiceIdentityRole',
- 'GetServiceIdentityRole',
- 'GetXtraceToken',
- 'ListEvalResults',
- ],
+ 'title' => '其他',
+ 'id' => 128828,
],
],
'components' => [
@@ -59,245 +37,130 @@
'description' => '大模型回答问题时参考的上下文节点信息。',
'type' => 'object',
'properties' => [
- 'JsonPathInSpan' => [
- 'description' => '链路log里存放Context的json path。',
- 'type' => 'string',
- 'example' => 'attributes.retrieval.documents[*].document.content',
- 'minLength' => 1,
- ],
- 'SpanName' => [
- 'description' => '链路log的span名称。',
- 'type' => 'string',
- 'example' => 'retrieve',
- 'minLength' => 1,
- ],
- 'JsonPathInSpanValue' => [
- 'description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。',
- 'type' => 'string',
- 'example' => 'message/value',
- ],
+ 'JsonPathInSpan' => ['description' => '链路log里存放Context的json path。', 'type' => 'string', 'example' => 'attributes.retrieval.documents[*].document.content', 'minLength' => 1],
+ 'SpanName' => ['description' => '链路log的span名称。', 'type' => 'string', 'example' => 'retrieve', 'minLength' => 1],
+ 'JsonPathInSpanValue' => ['description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。', 'type' => 'string', 'example' => 'message/value'],
],
],
'Answer' => [
'description' => '基于大语言模型的应用针对用户问题的回答。',
'type' => 'object',
'properties' => [
- 'JsonPathInSpan' => [
- 'description' => '链路log里存放Answer的json path。',
- 'type' => 'string',
- 'example' => 'attributes.output.value',
- 'minLength' => 1,
- ],
- 'SpanName' => [
- 'description' => '链路log的span名称。',
- 'type' => 'string',
- 'example' => 'query',
- 'minLength' => 1,
- ],
- 'JsonPathInSpanValue' => [
- 'description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。',
- 'type' => 'string',
- 'example' => 'message/value',
- ],
+ 'JsonPathInSpan' => ['description' => '链路log里存放Answer的json path。', 'type' => 'string', 'example' => 'attributes.output.value', 'minLength' => 1],
+ 'SpanName' => ['description' => '链路log的span名称。', 'type' => 'string', 'example' => 'query', 'minLength' => 1],
+ 'JsonPathInSpanValue' => ['description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。', 'type' => 'string', 'example' => 'message/value'],
],
],
'Query' => [
'description' => '用户向基于大语言模型的应用提出的问题。',
'type' => 'object',
'properties' => [
- 'JsonPathInSpan' => [
- 'description' => '链路log里存放Query的json path。',
- 'type' => 'string',
- 'example' => 'attributes.input.value',
- 'minLength' => 1,
- ],
- 'SpanName' => [
- 'description' => '链路log的span名称。',
- 'type' => 'string',
- 'example' => 'query',
- 'minLength' => 1,
- ],
- 'JsonPathInSpanValue' => [
- 'description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。',
- 'type' => 'string',
- 'example' => 'message/value',
- ],
+ 'JsonPathInSpan' => ['description' => '链路log里存放Query的json path。', 'type' => 'string', 'example' => 'attributes.input.value', 'minLength' => 1],
+ 'SpanName' => ['description' => '链路log的span名称。', 'type' => 'string', 'example' => 'query', 'minLength' => 1],
+ 'JsonPathInSpanValue' => ['description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。', 'type' => 'string', 'example' => 'message/value'],
],
],
],
],
'ModelConfig' => [
'description' => '评估任务内部使用的大模型的访问配置结构体。',
+ 'visibility' => 'Public',
'type' => 'object',
'properties' => [
- 'Temperature' => [
- 'description' => '控制大模型输出随机性的温度参数。最大可设置到0.2。',
- 'type' => 'number',
- 'format' => 'float',
- 'example' => '0.1',
- ],
- 'ApiKey' => [
- 'description' => '评估任务需要以用户名义调用用户有使用权的大模型时,需要填充的认证key。',
- 'type' => 'string',
- 'example' => 'lRQ6ny2BP1g73fsgf9O+Hr4DEedezQ',
- ],
- 'Endpoint' => [
- 'description' => '评估任务需要以用户名义调用用户有使用权的大模型时,需要填充的模型服务地址。',
- 'type' => 'string',
- 'example' => 'https://aiservice.cn-hangzhou.aliyuncs.com/v1',
- ],
- 'UseFunctionCall' => [
- 'description' => '评估任务需要以用户名义调用用户有使用权的大模型时,是否允许大模型调用外部工具。',
- 'type' => 'boolean',
- 'example' => 'True',
- ],
- 'TopP' => [
- 'description' => '控制大模型输出随机性的top p参数。',
- 'type' => 'number',
- 'format' => 'float',
- 'example' => '0.9',
- ],
- 'Name' => [
- 'description' => '大模型的名称。',
- 'type' => 'string',
- 'example' => 'pai-judge'."\n"
- .'themis'."\n"
- .'qwen'."\n"
- .'gpt',
- ],
- 'IsSelfHost' => [
- 'description' => '用户的大模型服务是自己提供的(True)、还是阿里云PAI提供的(False)。',
- 'type' => 'boolean',
- 'example' => 'False',
- ],
- ],
- ],
- 'QuestionAnswer' => [
- 'type' => 'object',
- 'properties' => [
- 'Answer' => [
- 'type' => 'object',
- 'properties' => [
- 'Text' => [
- 'type' => 'string',
- ],
- 'Contexts' => [
- 'type' => 'array',
- 'items' => [
- 'type' => 'string',
- ],
- ],
- ],
- ],
- 'Question' => [
- 'type' => 'string',
- ],
- 'GroundTruth' => [
- 'type' => 'object',
- 'properties' => [
- 'Text' => [
- 'type' => 'string',
- ],
- 'Contexts' => [
- 'type' => 'array',
- 'items' => [
- 'type' => 'string',
- ],
- ],
- ],
- ],
+ 'Temperature' => ['description' => '控制大模型输出随机性的温度参数。最大可设置到0.2。', 'visibility' => 'Public', 'type' => 'number', 'format' => 'float', 'example' => '0.1', 'backendName' => 'temperature'],
+ 'ApiKey' => ['description' => '评估任务需要以用户名义调用用户有使用权的大模型时,需要填充的认证key。', 'visibility' => 'Public', 'type' => 'string', 'example' => 'lRQ6ny2BP1g73fsgf9O+Hr4DEedezQ', 'backendName' => 'apiKey'],
+ 'Endpoint' => ['description' => '评估任务需要以用户名义调用用户有使用权的大模型时,需要填充的模型服务地址。', 'visibility' => 'Public', 'type' => 'string', 'example' => 'https://aiservice.cn-hangzhou.aliyuncs.com/v1', 'backendName' => 'endpoint'],
+ 'UseFunctionCall' => ['description' => '评估任务需要以用户名义调用用户有使用权的大模型时,是否允许大模型调用外部工具。', 'visibility' => 'Public', 'type' => 'boolean', 'example' => 'True', 'backendName' => 'useFunctionCall'],
+ 'TopP' => ['description' => '控制大模型输出随机性的top p参数。', 'visibility' => 'Public', 'type' => 'number', 'format' => 'float', 'example' => '0.9', 'backendName' => 'topP'],
+ 'Name' => ['description' => '大模型的名称。', 'visibility' => 'Public', 'type' => 'string', 'example' => 'pai-judge'."\n"
+ .'themis'."\n"
+ .'qwen'."\n"
+ .'gpt', 'backendName' => 'name'],
+ 'IsSelfHost' => ['description' => '用户的大模型服务是自己提供的(True)、还是阿里云PAI提供的(False)。', 'visibility' => 'Public', 'type' => 'boolean', 'example' => 'False', 'backendName' => 'isSelfHost'],
],
],
],
],
'apis' => [
- 'EvaluateTrace' => [
- 'summary' => '评估一条指定的trace数据。',
- 'path' => '/api/v1/PAILLMTrace/eval/trace/{TraceId}',
- 'methods' => [
- 'put',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'CreateOnlineEvalTask' => [
+ 'summary' => '创建一个链路评估任务。系统会根据任务配置,从用户的链路数据里采样部分数据,用大模型对这些链路的执行效果做评估,并记录评估结果。',
+ 'path' => '/api/v1/PAILLMTrace/onlineevaltasks',
+ 'methods' => ['post'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'write',
'deprecated' => false,
'systemTags' => [
- 'operationType' => 'none',
+ 'operationType' => 'create',
'riskType' => 'none',
'chargeType' => 'free',
- 'abilityTreeCode' => '246343',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeCode' => '241117',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
'tenantRelevance' => 'publicInformation',
],
'parameters' => [
[
- 'name' => 'TraceId',
- 'in' => 'path',
- 'schema' => [
- 'description' => '链路id',
- 'type' => 'string',
- 'required' => true,
- 'example' => 'c43793673a384d39daa0a351b1000000',
- ],
- ],
- [
'name' => 'body',
- 'in' => 'body',
+ 'in' => 'query',
'style' => 'json',
'schema' => [
- 'description' => '请求结构。',
+ 'description' => '请求Body。',
'type' => 'object',
'properties' => [
- 'AppName' => [
- 'description' => '链路数据所在的应用名称',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'my-llm-app',
- ],
- 'MinTime' => [
- 'description' => '搜索时间范围的UTC开始时间。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-04-05 13:24:25'."\n"
- .'2025-04-05',
- ],
- 'MaxTime' => [
- 'description' => '搜索时间范围的UTC结束时间。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-04-05 13:24:25'."\n"
- .'2025-04-05',
- ],
- 'EvaluationConfig' => [
- 'description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。',
- 'required' => true,
- '$ref' => '#/components/schemas/EvaluationConfig',
- ],
- 'ModelConfig' => [
- 'description' => '评估链路功能内部使用的大模型的访问配置结构体。',
- 'required' => false,
- '$ref' => '#/components/schemas/ModelConfig',
- ],
- 'EvaluationId' => [
- 'description' => '评估任务的id。如果不指定,则系统会随机产生一个id返回给用户。用户可以凭借这个返回的任务id快速搜索评估结果。',
- 'type' => 'string',
+ 'TaskName' => ['description' => '任务名称。', 'type' => 'string', 'required' => false, 'example' => 'my-llm-app-eval-task-1'],
+ 'AppName' => ['description' => '用户应用在链路数据里记录的名称', 'type' => 'string', 'required' => false, 'example' => 'my-best-llm-app'],
+ 'StartTime' => ['description' => '链路数据的UTC开始时间', 'type' => 'string', 'required' => false, 'example' => '2025-04-05 14:00:01'."\n"
+ .'2025-04-05'],
+ 'EndTime' => ['description' => '链路数据的UTC结束时间', 'type' => 'string', 'required' => false, 'example' => '2025-06-05 14:00:01'."\n"
+ .'2025-06-05'],
+ 'SamplingFrequencyMinutes' => ['description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '9'],
+ 'Description' => ['description' => '任务描述信息', 'type' => 'string', 'required' => false, 'example' => '4月到6月数据评估'],
+ 'Filters' => [
+ 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '过滤条件对象。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Key' => [
+ 'description' => '过滤条件的key',
+ 'type' => 'string',
+ 'required' => false,
+ 'enumValueTitles' => ['Status' => 'Status', 'SpanName' => 'SpanName', 'Input' => 'Input', 'TraceType' => 'TraceType', 'SpanType' => 'SpanType', 'ServiceName' => 'ServiceName', 'Output' => 'Output', 'TraceName' => 'TraceName', 'ServiceId' => 'ServiceId'],
+ 'example' => 'ServiceId'."\n"
+ .'ServiceName'."\n"
+ .'Input'."\n"
+ .'Output'."\n"
+ .'Status'."\n"
+ .'TraceType'."\n"
+ .'SpanType'."\n"
+ .'TraceName'."\n"
+ .'SpanName',
+ ],
+ 'Operator' => [
+ 'description' => '过滤条件匹配操作符',
+ 'type' => 'string',
+ 'required' => false,
+ 'enumValueTitles' => ['Contains' => 'Contains', '=' => '=', 'StartsWith' => 'StartsWith'],
+ 'example' => '='."\n"
+ .'StartsWith'."\n"
+ .'Contains'."\n",
+ ],
+ 'Value' => ['description' => '过滤条件的值', 'type' => 'string', 'required' => false, 'example' => 'foo'],
+ ],
+ 'required' => false,
+ ],
'required' => false,
- 'example' => '44aea0ee00000000be5be24b2abb8f98',
],
+ 'SamplingRatio' => ['description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '50'],
+ 'EvaluationConfig' => ['description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。', 'required' => false, '$ref' => '#/components/schemas/EvaluationConfig'],
+ 'ModelConfig' => ['description' => '评估任务内部使用的大模型的访问配置结构体。', 'required' => false, '$ref' => '#/components/schemas/ModelConfig'],
],
'required' => false,
],
@@ -310,57 +173,77 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => 'F1AB295E-0D1F-5ECE-9FFA-98ABB4CB5DF5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'eval_request missing dataset id or times',
- ],
- 'EvaluationId' => [
- 'description' => '链路数据所属的评估任务的任务id。',
- 'type' => 'string',
- 'example' => '6000043e103011f0922edec44617e03c',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'TaskId' => ['description' => '新创建的链路评估任务的id。', 'type' => 'string', 'example' => '711ef9112343286810abbfce04e161ee'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'EvaluationConfig.Answer.SpanName is required.'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"TaskId\\": \\"711ef9112343286810abbfce04e161ee\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"EvaluationConfig.Answer.SpanName is required.\\"\\n}","type":"json"}]',
+ 'title' => '创建一个链路评估任务。',
+ ],
+ 'CreateServiceIdentityRole' => [
+ 'summary' => '创建PaiLLMTrace服务需要使用的服务关联角色。',
+ 'path' => '/api/v1/PAILLMTrace/ServiceIdentityRole',
+ 'methods' => ['post'],
+ 'schemes' => ['https'],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"F1AB295E-0D1F-5ECE-9FFA-98ABB4CB5DF5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"eval_request missing dataset id or times\\",\\n \\"EvaluationId\\": \\"6000043e103011f0922edec44617e03c\\"\\n}","type":"json"}]',
- 'title' => '评估一条指定的链路数据。',
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'write',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'none',
+ 'riskType' => 'none',
+ 'chargeType' => 'free',
+ 'abilityTreeCode' => '226578',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ 'tenantRelevance' => 'publicInformation',
+ ],
+ 'parameters' => [],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['title' => '调用失败后的错误码。', 'description' => '调用失败后的错误码。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['title' => '调用失败后的错误信息。', 'description' => '调用失败后的错误信息。', 'type' => 'string', 'example' => 'User don\'t have permission to create SLR.'],
+ 'RoleName' => ['description' => '操作服务关联角色名称,默认值:AliyunServiceRoleForPaiLLMTrace。', 'type' => 'string', 'example' => 'AliyunServiceRoleForPaiLLMTrace'],
+ 'RoleDetails' => ['description' => '角色详细信息。', 'type' => 'string', 'example' => 'AliyunServiceRoleForPaiLLMTrace'],
+ ],
+ ],
+ ],
+ ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'eventInfo' => [
+ 'enable' => false,
+ 'eventNames' => [],
+ ],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"User don\'t have permission to create SLR.\\",\\n \\"RoleName\\": \\"AliyunServiceRoleForPaiLLMTrace\\",\\n \\"RoleDetails\\": \\"AliyunServiceRoleForPaiLLMTrace\\"\\n}","type":"json"}]',
+ 'title' => '创建服务关联角色。',
],
'DeleteOnlineEvalTask' => [
'summary' => '删除一个链路评估任务。',
'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}',
- 'methods' => [
- 'delete',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'methods' => ['delete'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'write',
'deprecated' => false,
'systemTags' => [
@@ -368,20 +251,13 @@
'riskType' => 'none',
'chargeType' => 'free',
'abilityTreeCode' => '241122',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
],
'parameters' => [
[
'name' => 'TaskId',
'in' => 'path',
- 'schema' => [
- 'description' => '链路评估任务的id。',
- 'type' => 'string',
- 'required' => true,
- 'example' => '1d3f2shp3cfjum4l74odz5gkkh',
- ],
+ 'schema' => ['description' => '链路评估任务的id。', 'type' => 'string', 'required' => true, 'example' => '1d3f2shp3cfjum4l74odz5gkkh'],
],
],
'responses' => [
@@ -391,61 +267,104 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'task id is empty',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'task id is empty'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"task id is empty\\"\\n}","type":"json"}]',
'title' => '删除一个链路评估任务。',
],
+ 'EvaluateTrace' => [
+ 'summary' => '评估一条指定的trace数据。',
+ 'path' => '/api/v1/PAILLMTrace/eval/trace/{TraceId}',
+ 'methods' => ['put'],
+ 'schemes' => ['https'],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'write',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'none',
+ 'riskType' => 'none',
+ 'chargeType' => 'free',
+ 'abilityTreeCode' => '246343',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ 'tenantRelevance' => 'publicInformation',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'TraceId',
+ 'in' => 'path',
+ 'schema' => ['description' => '链路id', 'type' => 'string', 'required' => true, 'example' => 'c43793673a384d39daa0a351b1000000'],
+ ],
+ [
+ 'name' => 'body',
+ 'in' => 'body',
+ 'style' => 'json',
+ 'schema' => [
+ 'description' => '请求结构。',
+ 'type' => 'object',
+ 'properties' => [
+ 'AppName' => ['description' => '链路数据所在的应用名称', 'type' => 'string', 'required' => false, 'example' => 'my-llm-app'],
+ 'MinTime' => ['description' => '搜索时间范围的UTC开始时间。', 'type' => 'string', 'required' => false, 'example' => '2025-04-05 13:24:25'."\n"
+ .'2025-04-05'],
+ 'MaxTime' => ['description' => '搜索时间范围的UTC结束时间。', 'type' => 'string', 'required' => false, 'example' => '2025-04-05 13:24:25'."\n"
+ .'2025-04-05'],
+ 'EvaluationConfig' => ['description' => '如果json path处取到的值本身仍然是json string,那么需要进一步定义这个json里的json path以获取实际的值。', 'required' => true, '$ref' => '#/components/schemas/EvaluationConfig'],
+ 'ModelConfig' => ['description' => '评估链路功能内部使用的大模型的访问配置结构体。', 'required' => false, '$ref' => '#/components/schemas/ModelConfig'],
+ 'EvaluationId' => ['description' => '评估任务的id。如果不指定,则系统会随机产生一个id返回给用户。用户可以凭借这个返回的任务id快速搜索评估结果。', 'type' => 'string', 'required' => false, 'example' => '44aea0ee00000000be5be24b2abb8f98'],
+ ],
+ 'required' => false,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => 'F1AB295E-0D1F-5ECE-9FFA-98ABB4CB5DF5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'eval_request missing dataset id or times'],
+ 'EvaluationId' => ['description' => '链路数据所属的评估任务的任务id。', 'type' => 'string', 'example' => '6000043e103011f0922edec44617e03c'],
+ ],
+ ],
+ ],
+ ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"F1AB295E-0D1F-5ECE-9FFA-98ABB4CB5DF5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"eval_request missing dataset id or times\\",\\n \\"EvaluationId\\": \\"6000043e103011f0922edec44617e03c\\"\\n}","type":"json"}]',
+ 'title' => '评估一条指定的链路数据。',
+ ],
'GetEvaluationTemplates' => [
'summary' => '链路评估系统通过和大模型交互、来生成对用户应用的评估结果。评估系统和大模型交互时,需要构造特定的提问提交给大模型。这些问题会基于评估系统内部定义的一些模板构造。这个API返回这些评估系统内部预设模板,供调用者参考和理解。',
'path' => '/api/v1/PAILLMTrace/eval/templates',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'read',
'deprecated' => false,
'systemTags' => [
'operationType' => 'get',
'riskType' => 'none',
'chargeType' => 'free',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
'tenantRelevance' => 'publicInformation',
],
'parameters' => [],
@@ -456,77 +375,52 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'ExecutionFailure',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'cannot get data back.',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'ExecutionFailure'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'cannot get data back.'],
'EvaluationTemplates' => [
'description' => '评估系统内部使用的构造llm交互信息的一系列模板。',
'type' => 'array',
- 'items' => [
- 'description' => '一个模板。',
- 'type' => 'any',
- 'example' => ' {'."\n"
- .' \'eval_app_type\': constants.EvalAppType.RAG,'."\n"
- .' \'templates\': ['."\n"
- .' {'."\n"
- .' \'metric\': "relevance",'."\n"
- .' \'template\': \'...\''."\n"
- .' },'."\n"
- .' {'."\n"
- .' \'metric\': "faithfulness",'."\n"
- .' \'template\': \'...\''."\n"
- .' },'."\n"
- .' {'."\n"
- .' \'metric\': \'correctness\','."\n"
- .' \'template\': \'...\''."\n"
- .' }'."\n"
- .' ]'."\n"
- .' }',
- ],
+ 'items' => ['description' => '一个模板。', 'type' => 'any', 'example' => ' {'."\n"
+ .' \'eval_app_type\': constants.EvalAppType.RAG,'."\n"
+ .' \'templates\': ['."\n"
+ .' {'."\n"
+ .' \'metric\': "relevance",'."\n"
+ .' \'template\': \'...\''."\n"
+ .' },'."\n"
+ .' {'."\n"
+ .' \'metric\': "faithfulness",'."\n"
+ .' \'template\': \'...\''."\n"
+ .' },'."\n"
+ .' {'."\n"
+ .' \'metric\': \'correctness\','."\n"
+ .' \'template\': \'...\''."\n"
+ .' }'."\n"
+ .' ]'."\n"
+ .' }'],
],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"ExecutionFailure\\",\\n \\"Message\\": \\"cannot get data back.\\",\\n \\"EvaluationTemplates\\": [\\n \\" {\\\\n \'eval_app_type\': constants.EvalAppType.RAG,\\\\n \'templates\': [\\\\n {\\\\n \'metric\': \\\\\\"relevance\\\\\\",\\\\n \'template\': \'...\'\\\\n },\\\\n {\\\\n \'metric\': \\\\\\"faithfulness\\\\\\",\\\\n \'template\': \'...\'\\\\n },\\\\n {\\\\n \'metric\': \'correctness\',\\\\n \'template\': \'...\'\\\\n }\\\\n ]\\\\n }\\"\\n ]\\n}","type":"json"}]',
'title' => '获取链路评估系统内部使用的模版',
+ 'changeSet' => [],
+ 'ramActions' => [],
],
'GetOnlineEvalTask' => [
'summary' => '获取指定链路评估任务的详细信息,包括名称、评估模型配置,起止时间等信息。',
'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'read',
'deprecated' => false,
'systemTags' => [
@@ -534,20 +428,13 @@
'riskType' => 'none',
'chargeType' => 'free',
'abilityTreeCode' => '241119',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
],
'parameters' => [
[
'name' => 'TaskId',
'in' => 'path',
- 'schema' => [
- 'description' => '任务ID。',
- 'type' => 'string',
- 'required' => true,
- 'example' => 'e111d41dd22ca6cf4bc1e3fcad7a142af93',
- ],
+ 'schema' => ['description' => '任务ID。', 'type' => 'string', 'required' => true, 'example' => 'e111d41dd22ca6cf4bc1e3fcad7a142af93'],
],
],
'responses' => [
@@ -557,51 +444,18 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'POP request id',
- 'type' => 'string',
- 'example' => '6F352A02-9C0D-54A7-B57C-663CF71D5714',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'task id is empty',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'POP request id', 'type' => 'string', 'example' => '6F352A02-9C0D-54A7-B57C-663CF71D5714'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'task id is empty'],
'Task' => [
'description' => '任务信息',
'type' => 'object',
'properties' => [
- 'Id' => [
- 'description' => '任务id',
- 'type' => 'string',
- 'example' => '0839a02d-aa24-4174-90bb-7a773885934d',
- ],
- 'Name' => [
- 'description' => '任务名称。',
- 'type' => 'string',
- 'example' => 'my-eval-task-1',
- ],
- 'AliyunUid' => [
- 'description' => '任务创建者的阿里云账号(主账号)。',
- 'type' => 'string',
- 'example' => '1195531608511111',
- ],
- 'UserId' => [
- 'description' => '任务创建者的阿里云子账号。',
- 'type' => 'string',
- 'example' => '222222222222222222',
- ],
- 'AppName' => [
- 'description' => '该任务针对的用户应用的名称。',
- 'type' => 'string',
- 'example' => 'my-llm-app',
- ],
+ 'Id' => ['description' => '任务id', 'type' => 'string', 'example' => '0839a02d-aa24-4174-90bb-7a773885934d'],
+ 'Name' => ['description' => '任务名称。', 'type' => 'string', 'example' => 'my-eval-task-1'],
+ 'AliyunUid' => ['description' => '任务创建者的阿里云账号(主账号)。', 'type' => 'string', 'example' => '1195531608511111'],
+ 'UserId' => ['description' => '任务创建者的阿里云子账号。', 'type' => 'string', 'example' => '222222222222222222'],
+ 'AppName' => ['description' => '该任务针对的用户应用的名称。', 'type' => 'string', 'example' => 'my-llm-app'],
'Filters' => [
'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
'type' => 'array',
@@ -609,204 +463,315 @@
'description' => '过滤条件对象。',
'type' => 'object',
'properties' => [
- 'Key' => [
- 'description' => '过滤条件的key。',
- 'type' => 'string',
- 'example' => 'ServiceId'."\n"
- .'ServiceName'."\n"
- .'Input'."\n"
- .'Output'."\n"
- .'Status'."\n"
- .'TraceType'."\n"
- .'SpanType'."\n"
- .'TraceName'."\n"
- .'SpanName',
- ],
- 'Operator' => [
- 'description' => '过滤条件匹配操作符。',
- 'type' => 'string',
- 'example' => '='."\n"
- .'StartsWith'."\n"
- .'Contains',
- ],
- 'Value' => [
- 'description' => '过滤条件的值。',
- 'type' => 'string',
- 'example' => 'foo',
- ],
+ 'Key' => ['description' => '过滤条件的key。', 'type' => 'string', 'example' => 'ServiceId'."\n"
+ .'ServiceName'."\n"
+ .'Input'."\n"
+ .'Output'."\n"
+ .'Status'."\n"
+ .'TraceType'."\n"
+ .'SpanType'."\n"
+ .'TraceName'."\n"
+ .'SpanName'],
+ 'Operator' => ['description' => '过滤条件匹配操作符。', 'type' => 'string', 'example' => '='."\n"
+ .'StartsWith'."\n"
+ .'Contains'],
+ 'Value' => ['description' => '过滤条件的值。', 'type' => 'string', 'example' => 'foo'],
],
],
],
- 'GmtCreateTime' => [
- 'description' => '任务UTC创建时间。',
- 'type' => 'string',
- 'example' => '2024-07-31 08:30:00',
- ],
- 'GmtStartTime' => [
- 'description' => '链路数据的UTC开始时间。',
- 'type' => 'string',
- 'example' => '2024-08-02',
- ],
- 'GmtEndTime' => [
- 'description' => '链路数据的UTC结束时间。',
- 'type' => 'string',
- 'example' => '2024-08-10 13:20:00',
- ],
- 'GmtLastSamplingWindowStartTime' => [
- 'description' => '最后一次采样窗口的UTC开始时间。',
- 'type' => 'string',
- 'example' => '2024-08-10 13:11:00',
- ],
- 'GmtLastSamplingWindowEndTime' => [
- 'description' => '最后一次采样窗口的UTC结束时间',
- 'type' => 'string',
- 'example' => '2024-08-10 13:14:00',
- ],
- 'SamplingFrequencyMinutes' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '3',
- ],
- 'SamplingRatio' => [
- 'description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '70',
- ],
- 'Description' => [
- 'description' => '任务描述信息',
- 'type' => 'string',
- 'example' => '这个任务做了这些事。',
- ],
- 'Status' => [
- 'description' => '任务状态',
- 'type' => 'string',
- 'example' => 'CREATED'."\n"
- .'RUNNING'."\n"
- .'FINISHED'."\n"
- .'USER_CANCELED',
- ],
- 'RecordCount' => [
- 'description' => '评估记录数量',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '999',
- ],
- 'EvalResults' => [
- 'description' => '从该任务所有的评估结果,通过聚合计算得到的聚合评估结果。',
- 'type' => 'string',
- 'example' => '[{"task_id": "11111", "result_type": "HasValidEvalResult", "record_count": 8, "faithfulness": 0.5, "correctness": 0.5, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}, {"task_id": "11111", "result_type": "FailedToExtractQCA", "record_count": 3, "faithfulness": 0.0, "correctness": 0.0, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}]',
- ],
- 'EvaluationConfig' => [
- 'description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。',
- '$ref' => '#/components/schemas/EvaluationConfig',
- ],
- 'ModelConfig' => [
- 'description' => '评估任务内部使用的大模型的访问配置结构体。',
- '$ref' => '#/components/schemas/ModelConfig',
- ],
+ 'GmtCreateTime' => ['description' => '任务UTC创建时间。', 'type' => 'string', 'example' => '2024-07-31 08:30:00'],
+ 'GmtStartTime' => ['description' => '链路数据的UTC开始时间。', 'type' => 'string', 'example' => '2024-08-02'],
+ 'GmtEndTime' => ['description' => '链路数据的UTC结束时间。', 'type' => 'string', 'example' => '2024-08-10 13:20:00'],
+ 'GmtLastSamplingWindowStartTime' => ['description' => '最后一次采样窗口的UTC开始时间。', 'type' => 'string', 'example' => '2024-08-10 13:11:00'],
+ 'GmtLastSamplingWindowEndTime' => ['description' => '最后一次采样窗口的UTC结束时间', 'type' => 'string', 'example' => '2024-08-10 13:14:00'],
+ 'SamplingFrequencyMinutes' => ['description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。', 'type' => 'integer', 'format' => 'int32', 'example' => '3'],
+ 'SamplingRatio' => ['description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。', 'type' => 'integer', 'format' => 'int32', 'example' => '70'],
+ 'Description' => ['description' => '任务描述信息', 'type' => 'string', 'example' => '这个任务做了这些事。'],
+ 'Status' => ['description' => '任务状态', 'type' => 'string', 'example' => 'CREATED'."\n"
+ .'RUNNING'."\n"
+ .'FINISHED'."\n"
+ .'USER_CANCELED'],
+ 'RecordCount' => ['description' => '评估记录数量', 'type' => 'integer', 'format' => 'int32', 'example' => '999'],
+ 'EvalResults' => ['description' => '从该任务所有的评估结果,通过聚合计算得到的聚合评估结果。', 'type' => 'string', 'example' => '[{"task_id": "11111", "result_type": "HasValidEvalResult", "record_count": 8, "faithfulness": 0.5, "correctness": 0.5, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}, {"task_id": "11111", "result_type": "FailedToExtractQCA", "record_count": 3, "faithfulness": 0.0, "correctness": 0.0, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}]'],
+ 'EvaluationConfig' => ['description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。', '$ref' => '#/components/schemas/EvaluationConfig'],
+ 'ModelConfig' => ['description' => '评估任务内部使用的大模型的访问配置结构体。', '$ref' => '#/components/schemas/ModelConfig'],
],
],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6F352A02-9C0D-54A7-B57C-663CF71D5714\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"task id is empty\\",\\n \\"Task\\": {\\n \\"Id\\": \\"0839a02d-aa24-4174-90bb-7a773885934d\\",\\n \\"Name\\": \\"my-eval-task-1\\",\\n \\"AliyunUid\\": \\"1195531608511111\\",\\n \\"UserId\\": \\"222222222222222222\\",\\n \\"AppName\\": \\"my-llm-app\\",\\n \\"Filters\\": [\\n {\\n \\"Key\\": \\"ServiceId\\\\nServiceName\\\\nInput\\\\nOutput\\\\nStatus\\\\nTraceType\\\\nSpanType\\\\nTraceName\\\\nSpanName\\",\\n \\"Operator\\": \\"=\\\\nStartsWith\\\\nContains\\",\\n \\"Value\\": \\"foo\\"\\n }\\n ],\\n \\"GmtCreateTime\\": \\"2024-07-31 08:30:00\\",\\n \\"GmtStartTime\\": \\"2024-08-02\\",\\n \\"GmtEndTime\\": \\"2024-08-10 13:20:00\\",\\n \\"GmtLastSamplingWindowStartTime\\": \\"2024-08-10 13:11:00\\",\\n \\"GmtLastSamplingWindowEndTime\\": \\"2024-08-10 13:14:00\\",\\n \\"SamplingFrequencyMinutes\\": 3,\\n \\"SamplingRatio\\": 70,\\n \\"Description\\": \\"这个任务做了这些事。\\",\\n \\"Status\\": \\"CREATED\\\\nRUNNING\\\\nFINISHED\\\\nUSER_CANCELED\\",\\n \\"RecordCount\\": 999,\\n \\"EvalResults\\": \\"[{\\\\\\"task_id\\\\\\": \\\\\\"11111\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"HasValidEvalResult\\\\\\", \\\\\\"record_count\\\\\\": 8, \\\\\\"faithfulness\\\\\\": 0.5, \\\\\\"correctness\\\\\\": 0.5, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}, {\\\\\\"task_id\\\\\\": \\\\\\"11111\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"FailedToExtractQCA\\\\\\", \\\\\\"record_count\\\\\\": 3, \\\\\\"faithfulness\\\\\\": 0.0, \\\\\\"correctness\\\\\\": 0.0, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}]\\",\\n \\"EvaluationConfig\\": {\\n \\"Context\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n },\\n \\"Answer\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n },\\n \\"Query\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n }\\n },\\n \\"ModelConfig\\": {\\n \\"Temperature\\": 0,\\n \\"ApiKey\\": \\"\\",\\n \\"Endpoint\\": \\"\\",\\n \\"UseFunctionCall\\": true,\\n \\"TopP\\": 0,\\n \\"Name\\": \\"\\",\\n \\"IsSelfHost\\": true\\n }\\n }\\n}","type":"json"}]',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6F352A02-9C0D-54A7-B57C-663CF71D5714\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"task id is empty\\",\\n \\"Task\\": {\\n \\"Id\\": \\"0839a02d-aa24-4174-90bb-7a773885934d\\",\\n \\"Name\\": \\"my-eval-task-1\\",\\n \\"AliyunUid\\": \\"1195531608511111\\",\\n \\"UserId\\": \\"222222222222222222\\",\\n \\"AppName\\": \\"my-llm-app\\",\\n \\"Filters\\": [\\n {\\n \\"Key\\": \\"ServiceId\\\\nServiceName\\\\nInput\\\\nOutput\\\\nStatus\\\\nTraceType\\\\nSpanType\\\\nTraceName\\\\nSpanName\\",\\n \\"Operator\\": \\"=\\\\nStartsWith\\\\nContains\\",\\n \\"Value\\": \\"foo\\"\\n }\\n ],\\n \\"GmtCreateTime\\": \\"2024-07-31 08:30:00\\",\\n \\"GmtStartTime\\": \\"2024-08-02\\",\\n \\"GmtEndTime\\": \\"2024-08-10 13:20:00\\",\\n \\"GmtLastSamplingWindowStartTime\\": \\"2024-08-10 13:11:00\\",\\n \\"GmtLastSamplingWindowEndTime\\": \\"2024-08-10 13:14:00\\",\\n \\"SamplingFrequencyMinutes\\": 3,\\n \\"SamplingRatio\\": 70,\\n \\"Description\\": \\"这个任务做了这些事。\\",\\n \\"Status\\": \\"CREATED\\\\nRUNNING\\\\nFINISHED\\\\nUSER_CANCELED\\",\\n \\"RecordCount\\": 999,\\n \\"EvalResults\\": \\"[{\\\\\\"task_id\\\\\\": \\\\\\"11111\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"HasValidEvalResult\\\\\\", \\\\\\"record_count\\\\\\": 8, \\\\\\"faithfulness\\\\\\": 0.5, \\\\\\"correctness\\\\\\": 0.5, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}, {\\\\\\"task_id\\\\\\": \\\\\\"11111\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"FailedToExtractQCA\\\\\\", \\\\\\"record_count\\\\\\": 3, \\\\\\"faithfulness\\\\\\": 0.0, \\\\\\"correctness\\\\\\": 0.0, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}]\\",\\n \\"EvaluationConfig\\": {\\n \\"Context\\": {\\n \\"JsonPathInSpan\\": \\"attributes.retrieval.documents[*].document.content\\",\\n \\"SpanName\\": \\"retrieve\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n },\\n \\"Answer\\": {\\n \\"JsonPathInSpan\\": \\"attributes.output.value\\",\\n \\"SpanName\\": \\"query\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n },\\n \\"Query\\": {\\n \\"JsonPathInSpan\\": \\"attributes.input.value\\",\\n \\"SpanName\\": \\"query\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n }\\n },\\n \\"ModelConfig\\": {\\n \\"Temperature\\": 0.1,\\n \\"ApiKey\\": \\"lRQ6ny2BP1g73fsgf9O+Hr4DEedezQ\\",\\n \\"Endpoint\\": \\"https://aiservice.cn-hangzhou.aliyuncs.com/v1\\",\\n \\"UseFunctionCall\\": true,\\n \\"TopP\\": 0.9,\\n \\"Name\\": \\"pai-judge\\\\nthemis\\\\nqwen\\\\ngpt\\",\\n \\"IsSelfHost\\": true\\n }\\n }\\n}","type":"json"}]',
'title' => '获取一个链路评估任务的详细信息。',
+ 'changeSet' => [],
+ 'ramActions' => [
+ [
+ 'operationType' => 'get',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:GetOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
+ ],
+ ],
+ ],
+ ],
],
- 'ListOnlineEvalTaskResults' => [
- 'summary' => '获取链路评估任务的结果列表。',
- 'path' => '/api/v1/PAILLMTrace/onlineevaltaskresults',
- 'methods' => [
- 'get',
+ 'GetServiceIdentityRole' => [
+ 'summary' => '获取服务关联角色相关信息。',
+ 'path' => '/api/v1/PAILLMTrace/ServiceIdentityRole',
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'none',
+ 'riskType' => 'none',
+ 'chargeType' => 'free',
+ 'abilityTreeCode' => '229846',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ 'tenantRelevance' => 'publicInformation',
+ ],
+ 'parameters' => [],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'EntityNotExist'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'Serivce role does not exit.'],
+ 'RoleDetail' => ['description' => '角色详细信息。', 'type' => 'string', 'example' => 'AliyunServiceRoleForPaiLLMTrace'],
+ 'RoleName' => ['description' => '操作服务关联角色名称,默认值:AliyunServiceRoleForPaiLLMTrace。', 'type' => 'string', 'example' => 'AliyunServiceRoleForPaiLLMTrace'],
+ ],
+ ],
+ ],
],
- 'schemes' => [
- 'https',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'eventInfo' => [
+ 'enable' => false,
+ 'eventNames' => [],
],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"EntityNotExist\\",\\n \\"Message\\": \\"Serivce role does not exit.\\",\\n \\"RoleDetail\\": \\"AliyunServiceRoleForPaiLLMTrace\\",\\n \\"RoleName\\": \\"AliyunServiceRoleForPaiLLMTrace\\"\\n}","type":"json"}]',
+ 'title' => '获取服务关联角色。',
+ ],
+ 'GetXtraceToken' => [
+ 'summary' => '获取Xtrace服务中所使用的token,以及上传trace数据所需要的endpoint。',
+ 'path' => '/api/v1/PAILLMTrace/XtraceToken',
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'none',
+ 'riskType' => 'none',
+ 'chargeType' => 'free',
+ 'abilityTreeCode' => '230427',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ 'tenantRelevance' => 'publicInformation',
],
- 'produces' => [
- 'application/json',
+ 'parameters' => [],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'get_xtrace_token: failed, ERROR: NoPermission'],
+ 'Token' => ['description' => 'arms链路上传使用的token', 'type' => 'string', 'example' => 'h1abcw7@5abcb_h1abcw7@5abc01'],
+ 'HttpEndpoint' => ['description' => 'arms链路上传使用的endpoint.', 'type' => 'string', 'example' => 'http://tracing-analysis-dc-hz.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces'],
+ 'HttpInternalEndpoint' => ['description' => '阿里云内部使用的arms链路上传的endpoint', 'type' => 'string', 'example' => 'http://tracing-analysis-dc-hz-internal.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces'],
+ 'GrpcEndpoint' => ['description' => 'arms链路上传使用的grpc endpoint', 'type' => 'string', 'example' => 'http://tracing-analysis-dc-hz.aliyuncs.com:8090'],
+ 'GrpcInternalEndpoint' => ['description' => '阿里云内部使用的arms链路上传的grpc endpoint', 'type' => 'string', 'example' => 'http://tracing-analysis-dc-hz-internal.aliyuncs.com:8090'],
+ ],
+ ],
+ ],
],
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"get_xtrace_token: failed, ERROR: NoPermission\\",\\n \\"Token\\": \\"h1abcw7@5abcb_h1abcw7@5abc01\\",\\n \\"HttpEndpoint\\": \\"http://tracing-analysis-dc-hz.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces\\",\\n \\"HttpInternalEndpoint\\": \\"http://tracing-analysis-dc-hz-internal.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces\\",\\n \\"GrpcEndpoint\\": \\"http://tracing-analysis-dc-hz.aliyuncs.com:8090\\",\\n \\"GrpcInternalEndpoint\\": \\"http://tracing-analysis-dc-hz-internal.aliyuncs.com:8090\\"\\n}","type":"json"}]',
+ 'title' => '获取Xtrace服务的Token。',
+ ],
+ 'ListEvalResults' => [
+ 'summary' => '获取链路数据评估结果列表。和EvaluateTrace API搭配使用。EvaluateTrace触发评估操作。ListEvalResults获取评估结果。',
+ 'path' => '/api/v1/PAILLMTrace/eval/results',
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'read',
'deprecated' => false,
'systemTags' => [
- 'operationType' => 'get',
+ 'operationType' => 'list',
'riskType' => 'none',
'chargeType' => 'free',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeCode' => '237145',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
],
'parameters' => [
[
- 'name' => 'TraceIds',
+ 'name' => 'RecordIds',
'in' => 'query',
'style' => 'simple',
'schema' => [
- 'description' => '指定一组链路id,只返回这些链路的评估结果。链路id和任务Id至少要设置其中一个。',
+ 'description' => '链路数据id列表。',
'type' => 'array',
- 'items' => [
- 'description' => '链路id',
- 'type' => 'string',
- 'required' => false,
- 'example' => '3fbb8d864ac0004b7e41b6f4512c80ae',
- ],
+ 'items' => ['description' => '链路数据id', 'type' => 'string', 'required' => false, 'example' => '7423034a494ca17c16443ffd16336981'],
'required' => false,
],
],
[
'name' => 'PageNumber',
'in' => 'query',
- 'schema' => [
- 'description' => '当前页数。取值范围:大于0的整数。默认值:1。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '2',
- ],
+ 'schema' => ['description' => '分页查询时设置的页码。 起始值:1。默认值:1。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '1'],
],
[
'name' => 'PageSize',
'in' => 'query',
- 'schema' => [
- 'description' => '分页大小,默认为10,最大为50。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '50',
- ],
+ 'schema' => ['description' => '分页大小,默认值10,最大值50。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '10'],
],
[
'name' => 'EvaluationId',
'in' => 'query',
+ 'schema' => ['description' => '链路数据所属的评估任务的任务id。', 'type' => 'string', 'required' => false, 'example' => '0bb05ae2a2dc11ef9757faaa2a1ec0c6'],
+ ],
+ [
+ 'name' => 'Keyword',
+ 'in' => 'query',
+ 'schema' => ['description' => '查询关键字,在评估输入数据里查询。', 'type' => 'string', 'required' => false, 'example' => 'foo'],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
'schema' => [
- 'description' => '评估任务的id。链路id和任务Id至少要设置其中一个。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '0bb05ae8888c11ef9757faaa2a1ec0c6',
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'POP请求id', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'ExecutionFailure'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'cannot get data back.'],
+ 'TotalCount' => ['description' => '符合条件的评估结果的总数。', 'type' => 'integer', 'format' => 'int32', 'example' => '22'],
+ 'EvaluationResults' => [
+ 'description' => '资源评估结果列表。',
+ 'type' => 'array',
+ 'items' => ['description' => '一条链路记录的评估结果。', 'type' => 'string', 'example' => '[{'."\n"
+ .' "result": {'."\n"
+ .' "correctness": {'."\n"
+ .' "label": "正确",'."\n"
+ .' "score": 1,'."\n"
+ .' "reason": " \\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容详细且具体,提供了多种选择。\\n - 回答内容与问题相关,提供了多种礼物建议。\\n</think>\\n<answer>{\\"label\\":\\"正确\\", \\"reason\\":\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\"}</answer></answer>",'."\n"
+ .' "name": "正确性"'."\n"
+ .' },'."\n"
+ .' "faithfulness": {'."\n"
+ .' "label": "事实",'."\n"
+ .' "score": 1,'."\n"
+ .' "reason": " \\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\n</think>\\n<answer>{\\"label\\":\\"事实\\", \\"reason\\":\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\"}</answer></answer>",'."\n"
+ .' "name": "真实性"'."\n"
+ .' }'."\n"
+ .' },'."\n"
+ .' "eval_app_type": "qa"'."\n"
+ .'}]'],
+ ],
+ ],
],
],
+ ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'title' => '获取链路数据评估结果',
+ 'changeSet' => [],
+ 'ramActions' => [
[
- 'name' => 'MostRecentResultsOnly',
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListEvalResults',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'Eval', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:eval/{#EvalId}'],
+ ],
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"ExecutionFailure\\",\\n \\"Message\\": \\"cannot get data back.\\",\\n \\"TotalCount\\": 22,\\n \\"EvaluationResults\\": [\\n \\"[{\\\\n \\\\\\"result\\\\\\": {\\\\n \\\\\\"correctness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"正确\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\\\\\\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容详细且具体,提供了多种选择。\\\\\\\\n - 回答内容与问题相关,提供了多种礼物建议。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"正确\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"正确性\\\\\\"\\\\n },\\\\n \\\\\\"faithfulness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"事实\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\\\\\\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"事实\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"真实性\\\\\\"\\\\n }\\\\n },\\\\n \\\\\\"eval_app_type\\\\\\": \\\\\\"qa\\\\\\"\\\\n}]\\"\\n ]\\n}","type":"json"}]',
+ ],
+ 'ListOnlineEvalTaskResults' => [
+ 'summary' => '获取链路评估任务的结果列表。',
+ 'path' => '/api/v1/PAILLMTrace/onlineevaltaskresults',
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'get',
+ 'riskType' => 'none',
+ 'chargeType' => 'free',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'TraceIds',
'in' => 'query',
+ 'style' => 'simple',
'schema' => [
- 'description' => '同一条链路数据可能会被不同的任务都评估过。如果不指定任务id,且同一个链路id有多条评估结果,那么这个参数指定是否只返回最新的一条评估结果。默认为True,只返回最新的一条结果。',
- 'type' => 'boolean',
+ 'description' => '指定一组链路id,只返回这些链路的评估结果。链路id和任务Id至少要设置其中一个。',
+ 'type' => 'array',
+ 'items' => ['description' => '链路id', 'type' => 'string', 'required' => false, 'example' => '3fbb8d864ac0004b7e41b6f4512c80ae'],
'required' => false,
- 'example' => 'True',
],
],
+ [
+ 'name' => 'PageNumber',
+ 'in' => 'query',
+ 'schema' => ['description' => '当前页数。取值范围:大于0的整数。默认值:1。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '2'],
+ ],
+ [
+ 'name' => 'PageSize',
+ 'in' => 'query',
+ 'schema' => ['description' => '分页大小,默认为10,最大为50。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '50'],
+ ],
+ [
+ 'name' => 'EvaluationId',
+ 'in' => 'query',
+ 'schema' => ['description' => '评估任务的id。链路id和任务Id至少要设置其中一个。', 'type' => 'string', 'required' => false, 'example' => '0bb05ae8888c11ef9757faaa2a1ec0c6'],
+ ],
+ [
+ 'name' => 'MostRecentResultsOnly',
+ 'in' => 'query',
+ 'schema' => ['description' => '同一条链路数据可能会被不同的任务都评估过。如果不指定任务id,且同一个链路id有多条评估结果,那么这个参数指定是否只返回最新的一条评估结果。默认为True,只返回最新的一条结果。', 'type' => 'boolean', 'required' => false, 'example' => 'True'],
+ ],
],
'responses' => [
200 => [
@@ -815,83 +780,65 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '22BA9A5A-E3D8-5B4C-90FC-F33F6E5853F8',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'must provide trace_id(s) or eval_id',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '22BA9A5A-E3D8-5B4C-90FC-F33F6E5853F8'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'must provide trace_id(s) or eval_id'],
'EvaluationResults' => [
'description' => '评估结果列表。',
'type' => 'array',
- 'items' => [
- 'description' => '一条链路记录的评估结果。',
- 'type' => 'string',
- 'example' => '{'."\n"
- .' "result": {'."\n"
- .' "correctness": {'."\n"
- .' "label": "正确",'."\n"
- .' "score": 1,'."\n"
- .' "reason": " \\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容详细且具体,提供了多种选择。\\n - 回答内容与问题相关,提供了多种礼物建议。\\n</think>\\n<answer>{\\"label\\":\\"正确\\", \\"reason\\":\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\"}</answer></answer>",'."\n"
- .' "name": "正确性"'."\n"
- .' },'."\n"
- .' "faithfulness": {'."\n"
- .' "label": "事实",'."\n"
- .' "score": 1,'."\n"
- .' "reason": " \\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\n</think>\\n<answer>{\\"label\\":\\"事实\\", \\"reason\\":\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\"}</answer></answer>",'."\n"
- .' "name": "真实性"'."\n"
- .' }'."\n"
- .' },'."\n"
- .' "eval_app_type": "qa"'."\n"
- .'}',
- ],
- ],
- 'TotalCount' => [
- 'description' => '符合条件的评估结果的总数。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '123',
- ],
+ 'items' => ['description' => '一条链路记录的评估结果。', 'type' => 'string', 'example' => '{'."\n"
+ .' "result": {'."\n"
+ .' "correctness": {'."\n"
+ .' "label": "正确",'."\n"
+ .' "score": 1,'."\n"
+ .' "reason": " \\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容详细且具体,提供了多种选择。\\n - 回答内容与问题相关,提供了多种礼物建议。\\n</think>\\n<answer>{\\"label\\":\\"正确\\", \\"reason\\":\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\"}</answer></answer>",'."\n"
+ .' "name": "正确性"'."\n"
+ .' },'."\n"
+ .' "faithfulness": {'."\n"
+ .' "label": "事实",'."\n"
+ .' "score": 1,'."\n"
+ .' "reason": " \\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\n</think>\\n<answer>{\\"label\\":\\"事实\\", \\"reason\\":\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\"}</answer></answer>",'."\n"
+ .' "name": "真实性"'."\n"
+ .' }'."\n"
+ .' },'."\n"
+ .' "eval_app_type": "qa"'."\n"
+ .'}'],
+ ],
+ 'TotalCount' => ['description' => '符合条件的评估结果的总数。', 'type' => 'integer', 'format' => 'int32', 'example' => '123'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"22BA9A5A-E3D8-5B4C-90FC-F33F6E5853F8\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"must provide trace_id(s) or eval_id\\",\\n \\"EvaluationResults\\": [\\n \\"{\\\\n \\\\\\"result\\\\\\": {\\\\n \\\\\\"correctness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"正确\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\\\\\\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容详细且具体,提供了多种选择。\\\\\\\\n - 回答内容与问题相关,提供了多种礼物建议。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"正确\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"正确性\\\\\\"\\\\n },\\\\n \\\\\\"faithfulness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"事实\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\\\\\\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"事实\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"真实性\\\\\\"\\\\n }\\\\n },\\\\n \\\\\\"eval_app_type\\\\\\": \\\\\\"qa\\\\\\"\\\\n}\\"\\n ],\\n \\"TotalCount\\": 123\\n}","type":"json"}]',
'title' => '获取一个链路评估任务的结果列表',
+ 'changeSet' => [],
+ 'ramActions' => [
+ [
+ 'operationType' => 'get',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListOnlineEvalTaskResults',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
+ ],
+ ],
+ ],
+ ],
],
'ListOnlineEvalTasks' => [
'summary' => '查找符合条件的链路评估任务。',
'path' => '/api/v1/PAILLMTrace/onlineevaltasks',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'read',
'deprecated' => false,
'systemTags' => [
@@ -899,122 +846,68 @@
'riskType' => 'none',
'chargeType' => 'free',
'abilityTreeCode' => '241118',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
],
'parameters' => [
[
'name' => 'MinTime',
'in' => 'query',
- 'schema' => [
- 'description' => '搜索时间范围的UTC开始时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-04-05 13:24:25'."\n"
- .'2025-04-05',
- ],
+ 'schema' => ['description' => '搜索时间范围的UTC开始时间', 'type' => 'string', 'required' => false, 'example' => '2025-04-05 13:24:25'."\n"
+ .'2025-04-05'],
],
[
'name' => 'MaxTime',
'in' => 'query',
- 'schema' => [
- 'description' => '搜索时间范围的UTC截止时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-04-07 13:24:25'."\n"
- .'2025-04-07',
- ],
+ 'schema' => ['description' => '搜索时间范围的UTC截止时间', 'type' => 'string', 'required' => false, 'example' => '2025-04-07 13:24:25'."\n"
+ .'2025-04-07'],
],
[
'name' => 'PageNumber',
'in' => 'query',
- 'schema' => [
- 'description' => '当前页数。取值范围:大于0的整数。默认值:1。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '1',
- ],
+ 'schema' => ['description' => '当前页数。取值范围:大于0的整数。默认值:1。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '1'],
],
[
'name' => 'PageSize',
'in' => 'query',
- 'schema' => [
- 'description' => '分页大小,默认为10,最大为50。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '50',
- ],
+ 'schema' => ['description' => '分页大小,默认为10,最大为50。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '50'],
],
[
'name' => 'AppName',
'in' => 'query',
- 'schema' => [
- 'description' => '用户应用在链路数据里记录的名称。完全匹配。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'my-foo-llm-app-1.0',
- ],
+ 'schema' => ['description' => '用户应用在链路数据里记录的名称。完全匹配。', 'type' => 'string', 'required' => false, 'example' => 'my-foo-llm-app-1.0'],
],
[
'name' => 'Status',
'in' => 'query',
- 'schema' => [
- 'description' => '任务状态。完全匹配。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'CREATED'."\n"
- .'RUNNING'."\n"
- .'FINISHED'."\n"
- .'USER_CANCELED',
- ],
+ 'schema' => ['description' => '任务状态。完全匹配。', 'type' => 'string', 'required' => false, 'example' => 'CREATED'."\n"
+ .'RUNNING'."\n"
+ .'FINISHED'."\n"
+ .'USER_CANCELED'],
],
[
'name' => 'Keyword',
'in' => 'query',
- 'schema' => [
- 'description' => '搜索关键字。会在任务名称、任务id、任务描述这些字段上模糊匹配。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'foo',
- ],
+ 'schema' => ['description' => '搜索关键字。会在任务名称、任务id、任务描述这些字段上模糊匹配。', 'type' => 'string', 'required' => false, 'example' => 'foo'],
],
[
'name' => 'SamplingMethod',
'in' => 'query',
- 'schema' => [
- 'description' => '任务数据采样方式。窗口或者概率。精确匹配。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'Window'."\n"
- .'Ratio',
- ],
+ 'schema' => ['description' => '任务数据采样方式。窗口或者概率。精确匹配。', 'type' => 'string', 'required' => false, 'example' => 'Window'."\n"
+ .'Ratio'],
],
[
'name' => 'SortBy',
'in' => 'query',
- 'schema' => [
- 'description' => '用于排序返回结果的字段,目前支持TaskId, CreateTime,TaskName,和Status。不填则默认用CreateTime',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'CreateTime'."\n"
- .'Status'."\n"
- .'TaskId'."\n"
- .'TaskName',
- ],
+ 'schema' => ['description' => '用于排序返回结果的字段,目前支持TaskId, CreateTime,TaskName,和Status。不填则默认用CreateTime', 'type' => 'string', 'required' => false, 'example' => 'CreateTime'."\n"
+ .'Status'."\n"
+ .'TaskId'."\n"
+ .'TaskName'],
],
[
'name' => 'SortOrder',
'in' => 'query',
- 'schema' => [
- 'description' => '返回结果的排序方向。取值范围:ASC(升序)、DESC(降序)。不填则默认用DESC。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'ASC'."\n"
- .'DESC',
- ],
+ 'schema' => ['description' => '返回结果的排序方向。取值范围:ASC(升序)、DESC(降序)。不填则默认用DESC。', 'type' => 'string', 'required' => false, 'example' => 'ASC'."\n"
+ .'DESC'],
],
],
'responses' => [
@@ -1024,28 +917,10 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6F352A02-9C0D-54A7-B57C-663CF71D5714',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'page number should be greater than 0',
- ],
- 'TotalCount' => [
- 'description' => '符合条件的任务的总数。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '22',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the request', 'type' => 'string', 'example' => '6F352A02-9C0D-54A7-B57C-663CF71D5714'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'page number should be greater than 0'],
+ 'TotalCount' => ['description' => '符合条件的任务的总数。', 'type' => 'integer', 'format' => 'int32', 'example' => '22'],
'Tasks' => [
'description' => '任务列表。',
'type' => 'array',
@@ -1053,31 +928,11 @@
'description' => '任务的详细信息。',
'type' => 'object',
'properties' => [
- 'Id' => [
- 'description' => '任务ID。',
- 'type' => 'string',
- 'example' => '9f50cd72efcf36535152ee811a911115',
- ],
- 'Name' => [
- 'description' => '任务名称。',
- 'type' => 'string',
- 'example' => 'my-foo-evaluation-task',
- ],
- 'AliyunUid' => [
- 'description' => '任务创建者的阿里云账号(主账号)。',
- 'type' => 'string',
- 'example' => '1512522691911111',
- ],
- 'UserId' => [
- 'description' => '任务创建者的阿里云子账号',
- 'type' => 'string',
- 'example' => '2222222222',
- ],
- 'AppName' => [
- 'description' => '该任务针对的用户应用的名称。',
- 'type' => 'string',
- 'example' => 'my-llm-app',
- ],
+ 'Id' => ['description' => '任务ID。', 'type' => 'string', 'example' => '9f50cd72efcf36535152ee811a911115'],
+ 'Name' => ['description' => '任务名称。', 'type' => 'string', 'example' => 'my-foo-evaluation-task'],
+ 'AliyunUid' => ['description' => '任务创建者的阿里云账号(主账号)。', 'type' => 'string', 'example' => '1512522691911111'],
+ 'UserId' => ['description' => '任务创建者的阿里云子账号', 'type' => 'string', 'example' => '2222222222'],
+ 'AppName' => ['description' => '该任务针对的用户应用的名称。', 'type' => 'string', 'example' => 'my-llm-app'],
'Filters' => [
'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
'type' => 'array',
@@ -1088,17 +943,7 @@
'Key' => [
'description' => '过滤条件的key。',
'type' => 'string',
- 'enumValueTitles' => [
- 'Status' => 'Status',
- 'SpanName' => 'SpanName',
- 'Input' => 'Input',
- 'TraceType' => 'TraceType',
- 'SpanType' => 'SpanType',
- 'ServiceName' => 'ServiceName',
- 'Output' => 'Output',
- 'TraceName' => 'TraceName',
- 'ServiceId' => 'ServiceId',
- ],
+ 'enumValueTitles' => ['Status' => 'Status', 'SpanName' => 'SpanName', 'Input' => 'Input', 'TraceType' => 'TraceType', 'SpanType' => 'SpanType', 'ServiceName' => 'ServiceName', 'Output' => 'Output', 'TraceName' => 'TraceName', 'ServiceId' => 'ServiceId'],
'example' => 'ServiceId'."\n"
.'ServiceName'."\n"
.'Input'."\n"
@@ -1112,82 +957,29 @@
'Operator' => [
'description' => '过滤条件匹配操作符。',
'type' => 'string',
- 'enumValueTitles' => [
- 'Contains' => 'Contains',
- '=' => '=',
- 'StartsWith' => 'StartsWith',
- ],
+ 'enumValueTitles' => ['Contains' => 'Contains', '=' => '=', 'StartsWith' => 'StartsWith'],
'example' => '='."\n"
.'StartsWith'."\n"
.'Contains',
],
- 'Value' => [
- 'description' => '过滤条件的值。',
- 'type' => 'string',
- 'example' => 'foo',
- ],
+ 'Value' => ['description' => '过滤条件的值。', 'type' => 'string', 'example' => 'foo'],
],
],
],
- 'GmtCreateTime' => [
- 'description' => '任务UTC创建时间。',
- 'type' => 'string',
- 'example' => '2025-04-07 13:24:35',
- ],
- 'GmtStartTime' => [
- 'description' => '任务UTC开始时间。',
- 'type' => 'string',
- 'example' => '2025-04-08 13:24:35',
- ],
- 'GmtEndTime' => [
- 'description' => '任务UTC结束时间。',
- 'type' => 'string',
- 'example' => '2025-04-09 13:24:35',
- ],
- 'SamplingFrequencyMinutes' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '12',
- ],
- 'SamplingRatio' => [
- 'description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '50',
- ],
- 'Description' => [
- 'description' => '任务描述信息',
- 'type' => 'string',
- 'example' => '评估任务',
- ],
- 'Status' => [
- 'description' => '任务状态',
- 'type' => 'string',
- 'example' => 'CREATED'."\n"
- .'RUNNING'."\n"
- .'FINISHED'."\n"
- .'USER_CANCELED',
- ],
- 'EvaluationConfig' => [
- 'description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。',
- '$ref' => '#/components/schemas/EvaluationConfig',
- ],
- 'ModelConfig' => [
- 'description' => '评估任务内部使用的大模型的访问配置结构体。',
- '$ref' => '#/components/schemas/ModelConfig',
- ],
- 'RecordCount' => [
- 'description' => '评估记录数量。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '11',
- ],
- 'EvalResults' => [
- 'description' => '从该任务所有的评估结果,通过聚合计算得到的聚合评估结果。',
- 'type' => 'string',
- 'example' => '[{"task_id": "00000", "result_type": "HasValidEvalResult", "record_count": 8, "faithfulness": 0.5, "correctness": 0.5, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}, {"task_id": "00000", "result_type": "FailedToExtractQCA", "record_count": 3, "faithfulness": 0.0, "correctness": 0.0, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}]',
- ],
+ 'GmtCreateTime' => ['description' => '任务UTC创建时间。', 'type' => 'string', 'example' => '2025-04-07 13:24:35'],
+ 'GmtStartTime' => ['description' => '任务UTC开始时间。', 'type' => 'string', 'example' => '2025-04-08 13:24:35'],
+ 'GmtEndTime' => ['description' => '任务UTC结束时间。', 'type' => 'string', 'example' => '2025-04-09 13:24:35'],
+ 'SamplingFrequencyMinutes' => ['description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。', 'type' => 'integer', 'format' => 'int32', 'example' => '12'],
+ 'SamplingRatio' => ['description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。', 'type' => 'integer', 'format' => 'int32', 'example' => '50'],
+ 'Description' => ['description' => '任务描述信息', 'type' => 'string', 'example' => '评估任务'],
+ 'Status' => ['description' => '任务状态', 'type' => 'string', 'example' => 'CREATED'."\n"
+ .'RUNNING'."\n"
+ .'FINISHED'."\n"
+ .'USER_CANCELED'],
+ 'EvaluationConfig' => ['description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。', '$ref' => '#/components/schemas/EvaluationConfig'],
+ 'ModelConfig' => ['description' => '评估任务内部使用的大模型的访问配置结构体。', '$ref' => '#/components/schemas/ModelConfig'],
+ 'RecordCount' => ['description' => '评估记录数量。', 'type' => 'integer', 'format' => 'int32', 'example' => '11'],
+ 'EvalResults' => ['description' => '从该任务所有的评估结果,通过聚合计算得到的聚合评估结果。', 'type' => 'string', 'example' => '[{"task_id": "00000", "result_type": "HasValidEvalResult", "record_count": 8, "faithfulness": 0.5, "correctness": 0.5, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}, {"task_id": "00000", "result_type": "FailedToExtractQCA", "record_count": 3, "faithfulness": 0.0, "correctness": 0.0, "ndcg": null, "mrr": null, "hit_rate": null, "precision": null}]'],
],
],
],
@@ -1195,502 +987,36 @@
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6F352A02-9C0D-54A7-B57C-663CF71D5714\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"page number should be greater than 0\\",\\n \\"TotalCount\\": 22,\\n \\"Tasks\\": [\\n {\\n \\"Id\\": \\"9f50cd72efcf36535152ee811a911115\\",\\n \\"Name\\": \\"my-foo-evaluation-task\\",\\n \\"AliyunUid\\": \\"1512522691911111\\",\\n \\"UserId\\": \\"2222222222\\",\\n \\"AppName\\": \\"my-llm-app\\",\\n \\"Filters\\": [\\n {\\n \\"Key\\": \\"ServiceId\\\\nServiceName\\\\nInput\\\\nOutput\\\\nStatus\\\\nTraceType\\\\nSpanType\\\\nTraceName\\\\nSpanName\\",\\n \\"Operator\\": \\"=\\\\nStartsWith\\\\nContains\\",\\n \\"Value\\": \\"foo\\"\\n }\\n ],\\n \\"GmtCreateTime\\": \\"2025-04-07 13:24:35\\",\\n \\"GmtStartTime\\": \\"2025-04-08 13:24:35\\",\\n \\"GmtEndTime\\": \\"2025-04-09 13:24:35\\",\\n \\"SamplingFrequencyMinutes\\": 12,\\n \\"SamplingRatio\\": 50,\\n \\"Description\\": \\"评估任务\\",\\n \\"Status\\": \\"CREATED\\\\nRUNNING\\\\nFINISHED\\\\nUSER_CANCELED\\",\\n \\"EvaluationConfig\\": {\\n \\"Context\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n },\\n \\"Answer\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n },\\n \\"Query\\": {\\n \\"JsonPathInSpan\\": \\"\\",\\n \\"SpanName\\": \\"\\",\\n \\"JsonPathInSpanValue\\": \\"\\"\\n }\\n },\\n \\"ModelConfig\\": {\\n \\"Temperature\\": 0,\\n \\"ApiKey\\": \\"\\",\\n \\"Endpoint\\": \\"\\",\\n \\"UseFunctionCall\\": true,\\n \\"TopP\\": 0,\\n \\"Name\\": \\"\\",\\n \\"IsSelfHost\\": true\\n },\\n \\"RecordCount\\": 11,\\n \\"EvalResults\\": \\"[{\\\\\\"task_id\\\\\\": \\\\\\"00000\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"HasValidEvalResult\\\\\\", \\\\\\"record_count\\\\\\": 8, \\\\\\"faithfulness\\\\\\": 0.5, \\\\\\"correctness\\\\\\": 0.5, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}, {\\\\\\"task_id\\\\\\": \\\\\\"00000\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"FailedToExtractQCA\\\\\\", \\\\\\"record_count\\\\\\": 3, \\\\\\"faithfulness\\\\\\": 0.0, \\\\\\"correctness\\\\\\": 0.0, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}]\\"\\n }\\n ]\\n}","type":"json"}]',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6F352A02-9C0D-54A7-B57C-663CF71D5714\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"page number should be greater than 0\\",\\n \\"TotalCount\\": 22,\\n \\"Tasks\\": [\\n {\\n \\"Id\\": \\"9f50cd72efcf36535152ee811a911115\\",\\n \\"Name\\": \\"my-foo-evaluation-task\\",\\n \\"AliyunUid\\": \\"1512522691911111\\",\\n \\"UserId\\": \\"2222222222\\",\\n \\"AppName\\": \\"my-llm-app\\",\\n \\"Filters\\": [\\n {\\n \\"Key\\": \\"ServiceId\\\\nServiceName\\\\nInput\\\\nOutput\\\\nStatus\\\\nTraceType\\\\nSpanType\\\\nTraceName\\\\nSpanName\\",\\n \\"Operator\\": \\"=\\\\nStartsWith\\\\nContains\\",\\n \\"Value\\": \\"foo\\"\\n }\\n ],\\n \\"GmtCreateTime\\": \\"2025-04-07 13:24:35\\",\\n \\"GmtStartTime\\": \\"2025-04-08 13:24:35\\",\\n \\"GmtEndTime\\": \\"2025-04-09 13:24:35\\",\\n \\"SamplingFrequencyMinutes\\": 12,\\n \\"SamplingRatio\\": 50,\\n \\"Description\\": \\"评估任务\\",\\n \\"Status\\": \\"CREATED\\\\nRUNNING\\\\nFINISHED\\\\nUSER_CANCELED\\",\\n \\"EvaluationConfig\\": {\\n \\"Context\\": {\\n \\"JsonPathInSpan\\": \\"attributes.retrieval.documents[*].document.content\\",\\n \\"SpanName\\": \\"retrieve\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n },\\n \\"Answer\\": {\\n \\"JsonPathInSpan\\": \\"attributes.output.value\\",\\n \\"SpanName\\": \\"query\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n },\\n \\"Query\\": {\\n \\"JsonPathInSpan\\": \\"attributes.input.value\\",\\n \\"SpanName\\": \\"query\\",\\n \\"JsonPathInSpanValue\\": \\"message/value\\"\\n }\\n },\\n \\"ModelConfig\\": {\\n \\"Temperature\\": 0.1,\\n \\"ApiKey\\": \\"lRQ6ny2BP1g73fsgf9O+Hr4DEedezQ\\",\\n \\"Endpoint\\": \\"https://aiservice.cn-hangzhou.aliyuncs.com/v1\\",\\n \\"UseFunctionCall\\": true,\\n \\"TopP\\": 0.9,\\n \\"Name\\": \\"pai-judge\\\\nthemis\\\\nqwen\\\\ngpt\\",\\n \\"IsSelfHost\\": true\\n },\\n \\"RecordCount\\": 11,\\n \\"EvalResults\\": \\"[{\\\\\\"task_id\\\\\\": \\\\\\"00000\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"HasValidEvalResult\\\\\\", \\\\\\"record_count\\\\\\": 8, \\\\\\"faithfulness\\\\\\": 0.5, \\\\\\"correctness\\\\\\": 0.5, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}, {\\\\\\"task_id\\\\\\": \\\\\\"00000\\\\\\", \\\\\\"result_type\\\\\\": \\\\\\"FailedToExtractQCA\\\\\\", \\\\\\"record_count\\\\\\": 3, \\\\\\"faithfulness\\\\\\": 0.0, \\\\\\"correctness\\\\\\": 0.0, \\\\\\"ndcg\\\\\\": null, \\\\\\"mrr\\\\\\": null, \\\\\\"hit_rate\\\\\\": null, \\\\\\"precision\\\\\\": null}]\\"\\n }\\n ]\\n}","type":"json"}]',
'title' => '获取链路评估任务列表。',
- ],
- 'StopOnlineEvalTask' => [
- 'summary' => '停止一个链路评估任务的执行。任务停止后,不能再做任何配置改动,任务也不会再生成任何新的评估结果。',
- 'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}/stop',
- 'methods' => [
- 'put',
- ],
- 'schemes' => [
- 'https',
- ],
- 'security' => [
+ 'changeSet' => [],
+ 'ramActions' => [
[
- 'AK' => [],
- ],
- ],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
- 'operationType' => 'write',
- 'deprecated' => false,
- 'systemTags' => [
- 'operationType' => 'update',
- 'riskType' => 'none',
- 'chargeType' => 'free',
- 'abilityTreeCode' => '241121',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
- ],
- 'parameters' => [
- [
- 'name' => 'TaskId',
- 'in' => 'path',
- 'schema' => [
- 'description' => '链路评估任务的id。',
- 'type' => 'string',
- 'required' => true,
- 'example' => '518b1d2f3cfca4ad3836ace4db69ba59c',
- ],
- ],
- ],
- 'responses' => [
- 200 => [
- 'schema' => [
- 'title' => 'Schema of Response',
- 'description' => 'Schema of Response',
- 'type' => 'object',
- 'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the POP request',
- 'type' => 'string',
- 'example' => '31E5FBC2-792D-5B5C-A5EB-3019984ABFC8',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'task id is empty',
- ],
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListOnlineEvalTasks',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/*'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"31E5FBC2-792D-5B5C-A5EB-3019984ABFC8\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"task id is empty\\"\\n}","type":"json"}]',
- 'title' => '停止一个链路评估任务。',
- ],
- 'UpdateOnlineEvalTask' => [
- 'summary' => '更改一个链路评估任务的配置。',
- 'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}',
- 'methods' => [
- 'put',
- ],
- 'schemes' => [
- 'https',
- ],
- 'security' => [
- [
- 'AK' => [],
- ],
- ],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
- 'operationType' => 'write',
- 'deprecated' => false,
- 'systemTags' => [
- 'operationType' => 'update',
- 'riskType' => 'none',
- 'chargeType' => 'free',
- 'abilityTreeCode' => '241120',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
- ],
- 'parameters' => [
- [
- 'name' => 'TaskId',
- 'in' => 'path',
- 'schema' => [
- 'description' => '链路评估任务的id。',
- 'type' => 'string',
- 'required' => true,
- 'example' => '518bc0f833d9a4ad3836ace4db69ba59c',
- ],
- ],
- [
- 'name' => 'body',
- 'in' => 'body',
- 'style' => 'json',
- 'schema' => [
- 'description' => '请求体。',
- 'type' => 'object',
- 'properties' => [
- 'TaskName' => [
- 'description' => '任务名称',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'foo大模型应用效果评估',
- ],
- 'AppName' => [
- 'description' => '用户的基于大模型的应用的名称',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'my-llm-one',
- ],
- 'Filters' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
- 'type' => 'array',
- 'items' => [
- 'description' => '自定义过滤条件对象。',
- 'type' => 'object',
- 'properties' => [
- 'Key' => [
- 'description' => '过滤条件的key',
- 'type' => 'string',
- 'required' => false,
- 'enumValueTitles' => [
- 'Status' => 'Status',
- 'SpanName' => 'SpanName',
- 'Input' => 'Input',
- 'TraceType' => 'TraceType',
- 'SpanType' => 'SpanType',
- 'ServiceName' => 'ServiceName',
- 'Output' => 'Output',
- 'TraceName' => 'TraceName',
- 'ServiceId' => 'ServiceId',
- ],
- 'example' => 'ServiceId'."\n"
- .'ServiceName'."\n"
- .'Input'."\n"
- .'Output'."\n"
- .'Status'."\n"
- .'TraceType'."\n"
- .'SpanType'."\n"
- .'TraceName'."\n"
- .'SpanName',
- ],
- 'Operator' => [
- 'description' => '过滤条件匹配操作符',
- 'type' => 'string',
- 'required' => false,
- 'enumValueTitles' => [
- 'Contains' => 'Contains',
- '=' => '=',
- 'StartsWith' => 'StartsWith',
- ],
- 'example' => '='."\n"
- .'StartsWith'."\n"
- .'Contains',
- ],
- 'Value' => [
- 'description' => '过滤条件的值',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'foo',
- ],
- ],
- 'required' => false,
- ],
- 'required' => false,
- ],
- 'StartTime' => [
- 'description' => '链路数据的UTC开始时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2024-07-31 08:30:00',
- ],
- 'EndTime' => [
- 'description' => '链路数据的UTC结束时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2024-09-02 22:24:00',
- ],
- 'SamplingFrequencyMinutes' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '10',
- ],
- 'SamplingRatio' => [
- 'description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '50',
- ],
- 'Description' => [
- 'description' => '任务描述信息',
- 'type' => 'string',
- 'required' => false,
- 'example' => '这个任务做了这些事。',
- ],
- 'EvaluationConfig' => [
- 'description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。',
- 'required' => false,
- '$ref' => '#/components/schemas/EvaluationConfig',
- ],
- 'ModelConfig' => [
- 'description' => '评估任务内部使用的大模型的访问配置结构体。',
- 'required' => false,
- '$ref' => '#/components/schemas/ModelConfig',
- ],
- ],
- 'required' => false,
- ],
- ],
- ],
- 'responses' => [
- 200 => [
- 'schema' => [
- 'title' => 'Schema of Response',
- 'description' => 'Schema of Response',
- 'type' => 'object',
- 'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the POP request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'cannot modify a stopped task',
- ],
- ],
- ],
- ],
- ],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"cannot modify a stopped task\\"\\n}","type":"json"}]',
- 'title' => '更改一个链路评估任务的配置。',
- ],
- 'CreateOnlineEvalTask' => [
- 'summary' => '创建一个链路评估任务。系统会根据任务配置,从用户的链路数据里采样部分数据,用大模型对这些链路的执行效果做评估,并记录评估结果。',
- 'path' => '/api/v1/PAILLMTrace/onlineevaltasks',
- 'methods' => [
- 'post',
- ],
- 'schemes' => [
- 'https',
- ],
- 'security' => [
- [
- 'AK' => [],
- ],
- ],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
- 'operationType' => 'write',
- 'deprecated' => false,
- 'systemTags' => [
- 'operationType' => 'create',
- 'riskType' => 'none',
- 'chargeType' => 'free',
- 'abilityTreeCode' => '241117',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
- 'tenantRelevance' => 'publicInformation',
- ],
- 'parameters' => [
- [
- 'name' => 'body',
- 'in' => 'query',
- 'style' => 'json',
- 'schema' => [
- 'description' => '请求Body。',
- 'type' => 'object',
- 'properties' => [
- 'TaskName' => [
- 'description' => '任务名称。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'my-llm-app-eval-task-1',
- ],
- 'AppName' => [
- 'description' => '用户应用在链路数据里记录的名称',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'my-best-llm-app',
- ],
- 'StartTime' => [
- 'description' => '链路数据的UTC开始时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-04-05 14:00:01'."\n"
- .'2025-04-05',
- ],
- 'EndTime' => [
- 'description' => '链路数据的UTC结束时间',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2025-06-05 14:00:01'."\n"
- .'2025-06-05',
- ],
- 'SamplingFrequencyMinutes' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '9',
- ],
- 'Description' => [
- 'description' => '任务描述信息',
- 'type' => 'string',
- 'required' => false,
- 'example' => '4月到6月数据评估',
- ],
- 'Filters' => [
- 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
- 'type' => 'array',
- 'items' => [
- 'description' => '过滤条件对象。',
- 'type' => 'object',
- 'properties' => [
- 'Key' => [
- 'description' => '过滤条件的key',
- 'type' => 'string',
- 'required' => false,
- 'enumValueTitles' => [
- 'Status' => 'Status',
- 'SpanName' => 'SpanName',
- 'Input' => 'Input',
- 'TraceType' => 'TraceType',
- 'SpanType' => 'SpanType',
- 'ServiceName' => 'ServiceName',
- 'Output' => 'Output',
- 'TraceName' => 'TraceName',
- 'ServiceId' => 'ServiceId',
- ],
- 'example' => 'ServiceId'."\n"
- .'ServiceName'."\n"
- .'Input'."\n"
- .'Output'."\n"
- .'Status'."\n"
- .'TraceType'."\n"
- .'SpanType'."\n"
- .'TraceName'."\n"
- .'SpanName',
- ],
- 'Operator' => [
- 'description' => '过滤条件匹配操作符',
- 'type' => 'string',
- 'required' => false,
- 'enumValueTitles' => [
- 'Contains' => 'Contains',
- '=' => '=',
- 'StartsWith' => 'StartsWith',
- ],
- 'example' => '='."\n"
- .'StartsWith'."\n"
- .'Contains'."\n",
- ],
- 'Value' => [
- 'description' => '过滤条件的值',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'foo',
- ],
- ],
- 'required' => false,
- ],
- 'required' => false,
- ],
- 'SamplingRatio' => [
- 'description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '50',
- ],
- 'EvaluationConfig' => [
- 'description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。',
- 'required' => false,
- '$ref' => '#/components/schemas/EvaluationConfig',
- ],
- 'ModelConfig' => [
- 'description' => '评估任务内部使用的大模型的访问配置结构体。',
- 'required' => false,
- '$ref' => '#/components/schemas/ModelConfig',
- ],
- ],
- 'required' => false,
- ],
- ],
- ],
- 'responses' => [
- 200 => [
- 'schema' => [
- 'title' => 'Schema of Response',
- 'description' => 'Schema of Response',
- 'type' => 'object',
- 'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'TaskId' => [
- 'description' => '新创建的链路评估任务的id。',
- 'type' => 'string',
- 'example' => '711ef9112343286810abbfce04e161ee',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'EvaluationConfig.Answer.SpanName is required.',
- ],
- ],
- ],
- ],
- ],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"TaskId\\": \\"711ef9112343286810abbfce04e161ee\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"EvaluationConfig.Answer.SpanName is required.\\"\\n}","type":"json"}]',
- 'title' => '创建一个链路评估任务。',
],
'ListTracesDatas' => [
'summary' => '每条链路数据记录,可以命名为trace。一个trace包含了一组span记录。这个API以trace为粒度执行搜索,按照指定条件获取trace数据列表。',
'path' => '/api/v1/PAILLMTrace/TracesDatas',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'methods' => ['get'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'read',
'deprecated' => false,
'systemTags' => [
@@ -1698,9 +1024,7 @@
'riskType' => 'none',
'chargeType' => 'free',
'abilityTreeCode' => '215404',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
'tenantRelevance' => 'publicInformation',
],
'parameters' => [
@@ -1711,12 +1035,7 @@
'schema' => [
'description' => '链路id数组。',
'type' => 'array',
- 'items' => [
- 'description' => '一个链路id',
- 'type' => 'string',
- 'required' => false,
- 'example' => '4d097fb3d451bad0148feefb4ab95',
- ],
+ 'items' => ['description' => '一个链路id', 'type' => 'string', 'required' => false, 'example' => '4d097fb3d451bad0148feefb4ab95'],
'required' => false,
],
],
@@ -1727,163 +1046,81 @@
'schema' => [
'description' => 'span id数组。一条链路记录里包含一个或多个span。',
'type' => 'array',
- 'items' => [
- 'title' => 'The ids to list',
- 'description' => '一个span id',
- 'type' => 'string',
- 'required' => false,
- 'example' => '17d4ef87a1fe8',
- ],
+ 'items' => ['title' => 'The ids to list', 'description' => '一个span id', 'type' => 'string', 'required' => false, 'example' => '17d4ef87a1fe8'],
'required' => false,
],
],
[
'name' => 'SessionId',
'in' => 'query',
- 'schema' => [
- 'description' => '链路记录里attributes.gen_ai.session.id字段的值。默认为空。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'e5895063-9b29-4ce4-b0fd-a018bfa11111',
- ],
+ 'schema' => ['description' => '链路记录里attributes.gen_ai.session.id字段的值。默认为空。', 'type' => 'string', 'required' => false, 'example' => 'e5895063-9b29-4ce4-b0fd-a018bfa11111'],
],
[
'name' => 'MinTime',
'in' => 'query',
- 'schema' => [
- 'title' => '当总结果个数大于MaxResults时,用于翻页的token。',
- 'description' => '搜索时间范围下限,UTC时间,YYYY-mm-dd或者YYYY-MM-DD HH:mm:ss格式。默认(当前时间 - 2天)',
- 'type' => 'string',
- 'required' => true,
- 'example' => '2024-01-31'."\n"
- .'2024-12-31 23:59:59',
- ],
+ 'schema' => ['title' => '当总结果个数大于MaxResults时,用于翻页的token。', 'description' => '搜索时间范围下限,UTC时间,YYYY-mm-dd或者YYYY-MM-DD HH:mm:ss格式。默认(当前时间 - 2天)', 'type' => 'string', 'required' => true, 'example' => '2024-01-31'."\n"
+ .'2024-12-31 23:59:59'],
],
[
'name' => 'MaxTime',
'in' => 'query',
- 'schema' => [
- 'description' => '搜索时间范围上限,UTC时间,YYYY-mm-dd或者YYYY-MM-DD HH:mm:ss格式。默认(当前时间 + 10分钟)',
- 'type' => 'string',
- 'required' => false,
- 'example' => '2024-01-31'."\n"
- .'2024-12-31 23:59:59',
- ],
+ 'schema' => ['description' => '搜索时间范围上限,UTC时间,YYYY-mm-dd或者YYYY-MM-DD HH:mm:ss格式。默认(当前时间 + 10分钟)', 'type' => 'string', 'required' => false, 'example' => '2024-01-31'."\n"
+ .'2024-12-31 23:59:59'],
],
[
'name' => 'PageNumber',
'in' => 'query',
- 'schema' => [
- 'description' => '分页查询时设置的页码。 起始值:1。默认值:1。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '1',
- ],
+ 'schema' => ['description' => '分页查询时设置的页码。 起始值:1。默认值:1。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '1'],
],
[
'name' => 'PageSize',
'in' => 'query',
- 'schema' => [
- 'description' => '分页大小,默认值10,最大值50。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '10',
- ],
+ 'schema' => ['description' => '分页大小,默认值10,最大值50。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '10'],
],
[
'name' => 'SpanName',
'in' => 'query',
- 'schema' => [
- 'description' => '查找Trace时使用的过滤条件,返回包含该span名称的Trace。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'ChatFlow.astream_chat',
- ],
+ 'schema' => ['description' => '查找Trace时使用的过滤条件,返回包含该span名称的Trace。', 'type' => 'string', 'required' => false, 'example' => 'ChatFlow.astream_chat'],
],
[
'name' => 'LlmAppName',
'in' => 'query',
- 'schema' => [
- 'description' => '链路记录里,resources.service.app.name字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。必须完全匹配。默认为空。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'My.super_LLM-app2',
- ],
+ 'schema' => ['description' => '链路记录里,resources.service.app.name字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。必须完全匹配。默认为空。', 'type' => 'string', 'required' => false, 'example' => 'My.super_LLM-app2'],
],
[
'name' => 'MinDuration',
'in' => 'query',
- 'schema' => [
- 'description' => '查找Trace时使用的过滤条件,Trace的最小持续时长。单位为秒(s)。',
- 'type' => 'number',
- 'format' => 'float',
- 'required' => false,
- 'example' => '2',
- ],
+ 'schema' => ['description' => '查找Trace时使用的过滤条件,Trace的最小持续时长。单位为秒(s)。', 'type' => 'number', 'format' => 'float', 'required' => false, 'example' => '2'],
],
[
'name' => 'MaxDuration',
'in' => 'query',
- 'schema' => [
- 'description' => '查找Trace时使用的过滤条件,Trace的最大持续时长。单位为秒(s)。',
- 'type' => 'number',
- 'format' => 'float',
- 'required' => false,
- 'example' => '5',
- ],
+ 'schema' => ['description' => '查找Trace时使用的过滤条件,Trace的最大持续时长。单位为秒(s)。', 'type' => 'number', 'format' => 'float', 'required' => false, 'example' => '5'],
],
[
'name' => 'OpentelemetryCompatible',
'in' => 'query',
- 'schema' => [
- 'description' => '返回的json格式数据是否可以直接转换成opentelemetry TracesData protobuf对象。默认为False。OpenTelemetry格式兼容的json数据,格式更复杂,除非为了生成OpenTelemetry的protobuf对象,一般不需要这种格式的数据。',
- 'type' => 'boolean',
- 'required' => false,
- 'example' => 'False',
- 'default' => 'False',
- ],
+ 'schema' => ['description' => '返回的json格式数据是否可以直接转换成opentelemetry TracesData protobuf对象。默认为False。OpenTelemetry格式兼容的json数据,格式更复杂,除非为了生成OpenTelemetry的protobuf对象,一般不需要这种格式的数据。', 'type' => 'boolean', 'required' => false, 'example' => 'False', 'default' => 'False'],
],
[
'name' => 'HasStatusMessage',
'in' => 'query',
- 'schema' => [
- 'description' => '是否只返回包含有statusMessage不为空的span的链路记录。比如1个链路里有3个span,如果该项为True,3个span任何1个有非空的statusMessage,那么这个链路就符合条件。默认为False,不用statusMessage状态做筛选。',
- 'type' => 'boolean',
- 'required' => false,
- 'example' => 'False',
- ],
+ 'schema' => ['description' => '是否只返回包含有statusMessage不为空的span的链路记录。比如1个链路里有3个span,如果该项为True,3个span任何1个有非空的statusMessage,那么这个链路就符合条件。默认为False,不用statusMessage状态做筛选。', 'type' => 'boolean', 'required' => false, 'example' => 'False'],
],
[
'name' => 'HasEvents',
'in' => 'query',
- 'schema' => [
- 'description' => '是否只返回包含有events不为空的span的链路记录。比如1个链路里有3个span,如果该项为True,3个span任何1个有非空的events,那么这个链路记录就符合条件。默认为False,不用events状态做筛选。',
- 'type' => 'boolean',
- 'required' => false,
- 'example' => 'False',
- ],
+ 'schema' => ['description' => '是否只返回包含有events不为空的span的链路记录。比如1个链路里有3个span,如果该项为True,3个span任何1个有非空的events,那么这个链路记录就符合条件。默认为False,不用events状态做筛选。', 'type' => 'boolean', 'required' => false, 'example' => 'False'],
],
[
'name' => 'OwnerSubId',
'in' => 'query',
- 'schema' => [
- 'description' => '链路记录里resources.service.owner.sub_id字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。默认为空。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '123456789',
- ],
+ 'schema' => ['description' => '链路记录里resources.service.owner.sub_id字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。默认为空。', 'type' => 'string', 'required' => false, 'example' => '123456789'],
],
[
'name' => 'EndUserId',
'in' => 'query',
- 'schema' => [
- 'description' => '链路记录里attributes.service.app.user_id字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。默认为空。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'end-user.12345',
- ],
+ 'schema' => ['description' => '链路记录里attributes.service.app.user_id字段的值。允许a-zA-Z0-9 dot, hyphen, underscore这些字符。默认为空。', 'type' => 'string', 'required' => false, 'example' => 'end-user.12345'],
],
[
'name' => 'Filters',
@@ -1921,36 +1158,17 @@
.'比如用户自定义key为 foo.bar,那么服务端会在attributes.foo.bar 这个位置执行筛选。比如用户自定义key为 gen_ai.FOO.BAR,那么服务端会在attributes.gen_ai.FOO.BAR 这个位置执行筛选。',
'type' => 'string',
'required' => false,
- 'enumValueTitles' => [
- 'Status' => 'Status',
- 'SpanName' => 'SpanName',
- 'Input' => 'Input',
- 'TraceType' => 'TraceType',
- 'SpanType' => 'SpanType',
- 'ServiceName' => 'ServiceName',
- 'Output' => 'Output',
- 'TraceName' => 'TraceName',
- 'ServiceId' => 'ServiceId',
- ],
+ 'enumValueTitles' => ['Status' => 'Status', 'SpanName' => 'SpanName', 'Input' => 'Input', 'TraceType' => 'TraceType', 'SpanType' => 'SpanType', 'ServiceName' => 'ServiceName', 'Output' => 'Output', 'TraceName' => 'TraceName', 'ServiceId' => 'ServiceId'],
'example' => 'output',
],
'Operator' => [
'description' => '参数运算符。大小写不敏感。目前支持:‘=’,’contains‘,\'startswith\'。',
'type' => 'string',
'required' => false,
- 'enumValueTitles' => [
- 'contains' => 'contains',
- '=' => '=',
- 'startsWith' => 'startsWith',
- ],
+ 'enumValueTitles' => ['contains' => 'contains', '=' => '=', 'startsWith' => 'startsWith'],
'example' => 'contains',
],
- 'Value' => [
- 'description' => '过滤参数取值。对于contains操作,大小写敏感。其它操作,大小写不敏感。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '智能填写',
- ],
+ 'Value' => ['description' => '过滤参数取值。对于contains操作,大小写敏感。其它操作,大小写不敏感。', 'type' => 'string', 'required' => false, 'example' => '智能填写'],
],
'required' => false,
],
@@ -1970,10 +1188,7 @@
.'不填写 - 则维持原有数据',
'type' => 'string',
'required' => false,
- 'enumValueTitles' => [
- 'ROOT_ONLY' => 'ROOT_ONLY',
- 'REMOVE_EMBEDDING' => 'REMOVE_EMBEDDING',
- ],
+ 'enumValueTitles' => ['ROOT_ONLY' => 'ROOT_ONLY', 'REMOVE_EMBEDDING' => 'REMOVE_EMBEDDING'],
'example' => 'REMOVE_EMBEDDING'."\n"
.'ROOT_ONLY',
],
@@ -1985,10 +1200,7 @@
'description' => '返回结果排序字段,目前支持trace开始时间、trace时长、trace总token数量、和trace id。',
'type' => 'string',
'required' => false,
- 'enumValueTitles' => [
- 'StartTime' => 'StartTime',
- 'Duration' => 'Duration',
- ],
+ 'enumValueTitles' => ['StartTime' => 'StartTime', 'Duration' => 'Duration'],
'example' => 'StartTime'."\n"
.'Duration'."\n"
.'TotalTokens'."\n"
@@ -2004,10 +1216,7 @@
.'- **DESC**(默认值):降序',
'type' => 'string',
'required' => false,
- 'enumValueTitles' => [
- 'ASC' => 'ASC',
- 'DESC' => 'DESC',
- ],
+ 'enumValueTitles' => ['ASC' => 'ASC', 'DESC' => 'DESC'],
'example' => 'DESC'."\n"
.'ASC',
],
@@ -2020,88 +1229,72 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'TotalCount' => [
- 'title' => '总记录数。',
- 'description' => '符合条件的trace的总数。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '22',
- ],
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'POP request id',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'ExecutionFailure',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'failed to get trace data',
- ],
+ 'TotalCount' => ['title' => '总记录数。', 'description' => '符合条件的trace的总数。', 'type' => 'integer', 'format' => 'int32', 'example' => '22'],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'POP request id', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'ExecutionFailure'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'failed to get trace data'],
'Traces' => [
'description' => 'json array,每个element是一个trace的json string。array长度等于或者小于page size参数值。',
'type' => 'array',
- 'items' => [
- 'description' => '代表一个trace的json string。',
- 'type' => 'any',
- 'example' => 'open telemetry compatible:'."\n"
- .'{"resource_spans":[{"resource":{"attributes":[{"key":"telemetry.sdk.language","value":{"string_value":"python"}},{"key":"telemetry.sdk.name","value":{"string_value":"opentelemetry"}},{"key":"telemetry.sdk.version","value":{"string_value":"1.25.0"}},{"key":"service.name","value":{"string_value":"llm_trace_llamaindex_test_template"}},{"key":"service.version","value":{"string_value":"0.0.1"}},{"key":"deployment.environment","value":{"string_value":"cn-hangzhou"}},{"key":"service.app.name","value":{"string_value":"llm_trace_llamaindex_test"}},{"key":"service.owner.id","value":{"string_value":"177393915"}},{"key":"service.owner.sub_id","value":{"string_value":"230589443368"}}]},"scope_spans":[{"spans":[{"trace_id":"ae40025eae77fbab21687bd7e41c","span_id":"e09710fbd3c6","parent_span_id":"0","name":"query","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212440262841","end_time_unix_nano":"1718910215403326721","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"1C714E-057D-1216-835A-06F722E4F3"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"444bae400277fbab21687bd7e41c","span_id":"5686fa7a6b85b","parent_span_id":"e0a5920fbd3c6","name":"retrieve","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212440884059","end_time_unix_nano":"1718910213181800657","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"RETRIEVER"}},{"key":"pop.request.id","value":{"string_value":"E8A1F8D9-D35A-1F9F-B724-5DA12E6F612"}},{"key":"retrieval.documents","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"document.content","value":{"string_value":".PHONY: clean package test\\n\\nclean:\\n\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\n\\npackage: clean\\n\\tpip install build && python -m build\\n\\nrun:\\n\\tbash tools/run_test.sh"}},{"key":"document.id","value":{"string_value":"c3bd0f7e-2-42f7-964c-2fcc698657db"}},{"key":"document.metadata","value":{"string_value":"{\\"file_path\\": \\"/mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\", \\"file_name\\": \\"makefile\\", \\"file_size\\": 213, \\"creation_date\\": \\"2024-05-10\\", \\"last_modified_date\\": \\"2024-05-10\\"}"}},{"key":"document.score","value":{"double_value":0.592955599044689}},{"key":"vector_index","value":{"int_value":"0"}}]}}]}}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"444bae4e77fbab21687bd7e41c","span_id":"f2fc6f6acbc7","parent_span_id":"f08a7a6b85b","name":"embedding","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212441468561","end_time_unix_nano":"1718910212617063167","attributes":[{"key":"embedding.embeddings","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"embedding.text","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"embedding.vector","value":{"string_value":"PAI LLM Trace system hid 1536 actual items"}},{"key":"vector_index","value":{"int_value":"0"}}]}}]}}},{"key":"embedding.model_name","value":{"string_value":"text-embedding-ada-002"}},{"key":"openinference.span.kind","value":{"string_value":"EMBEDDING"}},{"key":"pop.request.id","value":{"string_value":"56B9CCC3-CC84-0ED-53F60DC4A318"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"ae25eae77fbab21687bd7e41c","span_id":"f2ebc6f12b27","parent_span_id":"e0a710fbd3c6","name":"synthesize","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213465461860","end_time_unix_nano":"1718910215131655555","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"67D34C0D-1CD5-11B7-BEE2-05649"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"21687bd7e41c","span_id":"d8f3fc7c","parent_span_id":"f2ebc12b27","name":"chunking","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213467525240","end_time_unix_nano":"1718910213467894216","attributes":[{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"pop.request.id","value":{"string_value":"8E1625-B8D1-EA177F9FC69D"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"5eae77fbab7bd7e41c","span_id":"0ab8a7c75","parent_span_id":"f2ebcf12b27","name":"chunking","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213733013448","end_time_unix_nano":"1718910213733446902","attributes":[{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"pop.request.id","value":{"string_value":"14D0D5-1675-BCA7-AF320E26C1A4"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"25eae77fbab87bd7e41c","span_id":"2cb6c51c5fb2","parent_span_id":"f2ebcf12b27","name":"llm","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910214008467118","end_time_unix_nano":"1718910214849631714","attributes":[{"key":"llm.completions","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"The term \\"pai-llm-trace\\" refersto a component or module within the project or codebase being worked on."}},{"key":"message.role","value":{"string_value":"assistant"}},{"key":"vector_index","value":{"int_value":"0"}}]}}]}}},{"key":"llm.invocation_parameters","value":{"string_value":"{\\"temperature\\": 0.1, \\"model\\": \\"gpt-3.5-turbo\\"}"}},{"key":"llm.model_name","value":{"string_value":"gpt-3.5-turbo"}},{"key":"llm.prompt_template.template","value":{"string_value":"system: You are an expert Q&A system that is trusted around the world.\\nAlways answer the query using the provided context information, and not prior knowledge.\\nSome rules to follow:\\n1. Never directly reference thegiven context in your answer.\\n2. Avoid statements like \'Based on the context, ...\' or \'The context information ...\' or anything along those lines.\\nuser: Context information is below.\\n---------------------\\n{context_str}\\n---------------------\\nGiven the context information and not prior knowledge, answer the query.\\nQuery: {query_str}\\nAnswer: \\nassistant: "}},{"key":"llm.prompt_template.variables","value":{"string_value":"{\\"context_str\\": \\"file_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\n\\\\n.PHONY: clean package test\\\\n\\\\nclean:\\\\n\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\\\n\\\\npackage: clean\\\\n\\\\tpip install build && python -m build\\\\n\\\\nrun:\\\\n\\\\tbash tools/run_test.sh\\", \\"query_str\\": \\"Question 1: what is pai-llm-trace.\\"}"}},{"key":"llm.prompts","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"You are an expert Q&A system that is trusted around the world.\\nAlways answer the query using the provided context information, and not prior knowledge.\\nSome rules to follow:\\n1. Never directly reference the given context in your answer.\\n2. Avoid statements like \'Based on the context, ...\' or \'The context information ...\' or anything along those lines."}},{"key":"message.role","value":{"string_value":"system"}},{"key":"vector_index","value":{"int_value":"0"}}]}},{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"Context information is below.\\n---------------------\\nfile_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\n\\n.PHONY: clean package test\\n\\nclean:\\n\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\n\\npackage: clean\\n\\tpip install build && python -m build\\n\\nrun:\\n\\tbash tools/run_test.sh\\n---------------------\\nGiven the context information and not prior knowledge, answer the query.\\nQuery: Question 1:what is pai-llm-trace.\\nAnswer: "}},{"key":"message.role","value":{"string_value":"user"}},{"key":"vector_index","value":{"int_value":"1"}}]}}]}}},{"key":"llm.token_count.completion","value":{"string_value":"26"}},{"key":"llm.token_count.prompt","value":{"string_value":"210"}},{"key":"llm.token_count.total","value":{"string_value":"236"}},{"key":"openinference.span.kind","value":{"string_value":"LLM"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"AA68F16D-A8B7-1BB0-1BD1E47B5"}}],"status":{"code":"STATUS_CODE_OK"}}]}]}]}'."\n"
- ."\n"
- .'open telemetry incompatible:'."\n"
- .'[{"aliyunUid": "1773939154", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "177393915", "sub_id": "2305894433"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "444bae77fbab7bd7e41c", "spanId": "e0a0fbd3c6", "parentSpanId": "0", "kind": "SPAN_KIND_INTERNAL", "spanName": "query", "links": [], "events": [], "traceState": "", "startTime": 1718910212440262841, "endTime": 1718910215403326721, "duration": 2963063880, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "CHAIN"}},"output": {"value": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on."}, "pop": {"request": {"id": "1C70E14E-06F7D4F3"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "773939154", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "1773939", "sub_id": "2305819539"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "baeeae77fbab21687bd7e41c", "spanId": "ff08a7a6b85b", "parentSpanId": "e0a0fbd3c6", "kind": "SPAN_KIND_INTERNAL", "spanName": "retrieve", "links": [], "events": [], "traceState": "","startTime": 1718910212440884059, "endTime": 1718910213181800657, "duration": 740916598, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "RETRIEVER"}}, "pop": {"request": {"id": "E8A1F8D9-D35A-1F9F2E6F612"}}, "retrieval": {"documents": [{"document": {"content": ".PHONY: clean package test\\\\n\\\\nclean:\\\\n\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\\\n\\\\npackage: clean\\\\n\\\\tpip install build && python -m build\\\\n\\\\nrun:\\\\n\\\\tbash tools/run_test.sh", "id": "c3bd0f7e-7--2fcc8657db", "metadata": "{\\\\"file_path\\\\": \\\\"/mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\", \\\\"file_name\\\\": \\\\"makefile\\\\", \\\\"file_size\\\\": 213, \\\\"creation_date\\\\": \\\\"2024-05-10\\\\", \\\\"last_modified_date\\\\": \\\\"2024-05-10\\\\"}", "score": 0.592955599044689}}]}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939154062345", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "1793915", "sub_id": "58944336"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "444baebd7e41c", "spanId": "fc6f6acbc7", "parentSpanId": "f08a7a6b85b", "kind": "SPAN_KIND_INTERNAL", "spanName": "embedding", "links": [],"events": [], "traceState": "", "startTime": 1718910212441468561, "endTime": 1718910212617063167, "duration": 175594606, "attributes": {"embedding": {"embeddings": [{"embedding": {"text": "Question 1: what is pai-llm-trace.", "vector": "PAI LLM Trace system hid 1536 actual items"}}], "model_name": "text-embedding-ada-002"}, "openinference": {"span": {"kind": "EMBEDDING"}}, "pop": {"request": {"id": "56B9CCC3-CC84-80ED-53F60DC4A"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "17739391540", "sub_id": "23058944336"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "eae77fbab21687bd7e41c", "spanId": "f2ebcf12b27", "parentSpanId": "e0afbd3c6", "kind": "SPAN_KIND_INTERNAL", "spanName": "synthesize", "links": [], "events": [], "traceState": "", "startTime": 1718910213465461860, "endTime": 1718910215131655555, "duration": 1666193695, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "CHAIN"}}, "output": {"value": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on."}, "pop": {"request": {"id": "67D34C0D-1CD5-11B7-BEE2-0F90DCC"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "177393915", "sub_id": "23058944336"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "ae0ae77fbab87bd7e41c", "spanId": "d8f3fc6d47c", "parentSpanId": "f2ebcf12b27", "kind": "SPAN_KIND_INTERNAL", "spanName": "chunking", "links": [], "events": [], "traceState": "", "startTime": 1718910213467525240, "endTime": 1718910213467894216, "duration": 368976, "attributes": {"openinference": {"span": {"kind": "CHAIN"}}, "pop": {"request": {"id": "8EA31C-5-B8D1-EA177F9FC69D"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name":"llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "17739391", "sub_id": "23058944"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name":"opentelemetry", "version": "1.25.0"}}}, "traceId": "444babd7e41c", "spanId": "0aba7c75", "parentSpanId": "f2ebc6f12b27", "kind": "SPAN_KIND_INTERNAL", "spanName": "chunking", "links": [], "events": [], "traceState": "", "startTime": 1718910213733013448, "endTime": 1718910213733446902, "duration": 433454, "attributes": {"openinference": {"span": {"kind": "CHAIN"}}, "pop": {"request": {"id": "14D0D75-BCA7-AFE26C1A4"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "177393915", "sub_id": "2305894433"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "ae025eae77fbab7bd7e41c", "spanId": "2cb6c51c5fb2", "parentSpanId": "f2ebc6f12b27", "kind": "SPAN_KIND_INTERNAL", "spanName": "llm","links": [], "events": [], "traceState": "", "startTime": 1718910214008467118, "endTime": 1718910214849631714, "duration": 841164596, "attributes": {"llm": {"completions": [{"message": {"content": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on.", "role": "assistant"}}], "invocation_parameters": "{\\\\"temperature\\\\": 0.1, \\\\"model\\\\": \\\\"gpt-3.5-turbo\\\\"}", "model_name": "gpt-3.5-turbo", "prompt_template": {"template": "system: You are an expert Q&A system that is trusted around the world.\\\\nAlways answer the query using the provided context information, and not prior knowledge.\\\\nSome rules to follow:\\\\n1. Never directly reference the given context in your answer.\\\\n2. Avoid statements like \\\'Based on the context, ...\\\' or \\\'The context information ...\\\' or anything along those lines.\\\\nuser: Contextinformation is below.\\\\n---------------------\\\\n{context_str}\\\\n---------------------\\\\nGiven the context information and not prior knowledge, answer the query.\\\\nQuery: {query_str}\\\\nAnswer: \\\\nassistant: ", "variables": "{\\\\"context_str\\\\": \\\\"file_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\\\\\n\\\\\\\\n.PHONY: clean package test\\\\\\\\n\\\\\\\\nclean:\\\\\\\\n\\\\\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__src/pai/llm_trace/__pycache__\\\\\\\\n\\\\\\\\npackage: clean\\\\\\\\n\\\\\\\\tpip install build && python -m build\\\\\\\\n\\\\\\\\nrun:\\\\\\\\n\\\\\\\\tbash tools/run_test.sh\\\\", \\\\"query_str\\\\": \\\\"Question 1: what is pai-llm-trace.\\\\"}"}, "prompts": [{"message": {"content": "You are an expert Q&A system that is trusted around the world.\\\\nAlways answer the query using the provided context information, and not prior knowledge.\\\\nSome rules to follow:\\\\n1. Never directly reference the given context in your answer.\\\\n2. Avoid statements like \\\'Based on the context, ...\\\' or \\\'The context information ...\\\' or anything along those lines.", "role": "system"}}, {"message": {"content": "Context information is below.\\\\n---------------------\\\\nfile_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\n\\\\n.PHONY: clean package test\\\\n\\\\nclean:\\\\n\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\\\n\\\\npackage: clean\\\\n\\\\tpip install build && python -m build\\\\n\\\\nrun:\\\\n\\\\tbash tools/run_test.sh\\\\n---------------------\\\\nGiven the context information and notprior knowledge, answer the query.\\\\nQuery: Question 1: what is pai-llm-trace.\\\\nAnswer: ", "role": "user"}}], "token_count": {"completion": "26", "prompt": "210", "total": "236"}}, "openinference": {"span": {"kind": "LLM"}}, "output": {"value": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on."}, "pop": {"request": {"id": "AA68F16D-A8B7-1BB0-1BD1E47B5"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}]',
- ],
+ 'items' => ['description' => '代表一个trace的json string。', 'type' => 'any', 'example' => 'open telemetry compatible:'."\n"
+ .'{"resource_spans":[{"resource":{"attributes":[{"key":"telemetry.sdk.language","value":{"string_value":"python"}},{"key":"telemetry.sdk.name","value":{"string_value":"opentelemetry"}},{"key":"telemetry.sdk.version","value":{"string_value":"1.25.0"}},{"key":"service.name","value":{"string_value":"llm_trace_llamaindex_test_template"}},{"key":"service.version","value":{"string_value":"0.0.1"}},{"key":"deployment.environment","value":{"string_value":"cn-hangzhou"}},{"key":"service.app.name","value":{"string_value":"llm_trace_llamaindex_test"}},{"key":"service.owner.id","value":{"string_value":"177393915"}},{"key":"service.owner.sub_id","value":{"string_value":"230589443368"}}]},"scope_spans":[{"spans":[{"trace_id":"ae40025eae77fbab21687bd7e41c","span_id":"e09710fbd3c6","parent_span_id":"0","name":"query","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212440262841","end_time_unix_nano":"1718910215403326721","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"1C714E-057D-1216-835A-06F722E4F3"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"444bae400277fbab21687bd7e41c","span_id":"5686fa7a6b85b","parent_span_id":"e0a5920fbd3c6","name":"retrieve","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212440884059","end_time_unix_nano":"1718910213181800657","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"RETRIEVER"}},{"key":"pop.request.id","value":{"string_value":"E8A1F8D9-D35A-1F9F-B724-5DA12E6F612"}},{"key":"retrieval.documents","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"document.content","value":{"string_value":".PHONY: clean package test\\n\\nclean:\\n\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\n\\npackage: clean\\n\\tpip install build && python -m build\\n\\nrun:\\n\\tbash tools/run_test.sh"}},{"key":"document.id","value":{"string_value":"c3bd0f7e-2-42f7-964c-2fcc698657db"}},{"key":"document.metadata","value":{"string_value":"{\\"file_path\\": \\"/mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\", \\"file_name\\": \\"makefile\\", \\"file_size\\": 213, \\"creation_date\\": \\"2024-05-10\\", \\"last_modified_date\\": \\"2024-05-10\\"}"}},{"key":"document.score","value":{"double_value":0.592955599044689}},{"key":"vector_index","value":{"int_value":"0"}}]}}]}}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"444bae4e77fbab21687bd7e41c","span_id":"f2fc6f6acbc7","parent_span_id":"f08a7a6b85b","name":"embedding","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910212441468561","end_time_unix_nano":"1718910212617063167","attributes":[{"key":"embedding.embeddings","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"embedding.text","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"embedding.vector","value":{"string_value":"PAI LLM Trace system hid 1536 actual items"}},{"key":"vector_index","value":{"int_value":"0"}}]}}]}}},{"key":"embedding.model_name","value":{"string_value":"text-embedding-ada-002"}},{"key":"openinference.span.kind","value":{"string_value":"EMBEDDING"}},{"key":"pop.request.id","value":{"string_value":"56B9CCC3-CC84-0ED-53F60DC4A318"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"ae25eae77fbab21687bd7e41c","span_id":"f2ebc6f12b27","parent_span_id":"e0a710fbd3c6","name":"synthesize","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213465461860","end_time_unix_nano":"1718910215131655555","attributes":[{"key":"input.value","value":{"string_value":"Question 1: what is pai-llm-trace."}},{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"67D34C0D-1CD5-11B7-BEE2-05649"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"21687bd7e41c","span_id":"d8f3fc7c","parent_span_id":"f2ebc12b27","name":"chunking","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213467525240","end_time_unix_nano":"1718910213467894216","attributes":[{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"pop.request.id","value":{"string_value":"8E1625-B8D1-EA177F9FC69D"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"5eae77fbab7bd7e41c","span_id":"0ab8a7c75","parent_span_id":"f2ebcf12b27","name":"chunking","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910213733013448","end_time_unix_nano":"1718910213733446902","attributes":[{"key":"openinference.span.kind","value":{"string_value":"CHAIN"}},{"key":"pop.request.id","value":{"string_value":"14D0D5-1675-BCA7-AF320E26C1A4"}}],"status":{"code":"STATUS_CODE_OK"}},{"trace_id":"25eae77fbab87bd7e41c","span_id":"2cb6c51c5fb2","parent_span_id":"f2ebcf12b27","name":"llm","kind":"SPAN_KIND_INTERNAL","start_time_unix_nano":"1718910214008467118","end_time_unix_nano":"1718910214849631714","attributes":[{"key":"llm.completions","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"The 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Never directly reference thegiven context in your answer.\\n2. Avoid statements like \'Based on the context, ...\' or \'The context information ...\' or anything along those lines.\\nuser: Context information is below.\\n---------------------\\n{context_str}\\n---------------------\\nGiven the context information and not prior knowledge, answer the query.\\nQuery: {query_str}\\nAnswer: \\nassistant: "}},{"key":"llm.prompt_template.variables","value":{"string_value":"{\\"context_str\\": \\"file_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\n\\\\n.PHONY: clean package test\\\\n\\\\nclean:\\\\n\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\\\n\\\\npackage: clean\\\\n\\\\tpip install build && python -m build\\\\n\\\\nrun:\\\\n\\\\tbash tools/run_test.sh\\", \\"query_str\\": \\"Question 1: what is pai-llm-trace.\\"}"}},{"key":"llm.prompts","value":{"array_value":{"values":[{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"You are an expert Q&A system that is trusted around the world.\\nAlways answer the query using the provided context information, and not prior knowledge.\\nSome rules to follow:\\n1. Never directly reference the given context in your answer.\\n2. Avoid statements like \'Based on the context, ...\' or \'The context information ...\' or anything along those lines."}},{"key":"message.role","value":{"string_value":"system"}},{"key":"vector_index","value":{"int_value":"0"}}]}},{"kvlist_value":{"values":[{"key":"message.content","value":{"string_value":"Context information is below.\\n---------------------\\nfile_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\n\\n.PHONY: clean package test\\n\\nclean:\\n\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\n\\npackage: clean\\n\\tpip install build && python -m build\\n\\nrun:\\n\\tbash tools/run_test.sh\\n---------------------\\nGiven the context information and not prior knowledge, answer the query.\\nQuery: Question 1:what is pai-llm-trace.\\nAnswer: "}},{"key":"message.role","value":{"string_value":"user"}},{"key":"vector_index","value":{"int_value":"1"}}]}}]}}},{"key":"llm.token_count.completion","value":{"string_value":"26"}},{"key":"llm.token_count.prompt","value":{"string_value":"210"}},{"key":"llm.token_count.total","value":{"string_value":"236"}},{"key":"openinference.span.kind","value":{"string_value":"LLM"}},{"key":"output.value","value":{"string_value":"The term \\"pai-llm-trace\\" refers to a component or module within the project or codebase being worked on."}},{"key":"pop.request.id","value":{"string_value":"AA68F16D-A8B7-1BB0-1BD1E47B5"}}],"status":{"code":"STATUS_CODE_OK"}}]}]}]}'."\n"
+ ."\n"
+ .'open telemetry incompatible:'."\n"
+ .'[{"aliyunUid": "1773939154", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "177393915", "sub_id": "2305894433"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "444bae77fbab7bd7e41c", "spanId": "e0a0fbd3c6", "parentSpanId": "0", "kind": "SPAN_KIND_INTERNAL", "spanName": "query", "links": [], "events": [], "traceState": "", "startTime": 1718910212440262841, "endTime": 1718910215403326721, "duration": 2963063880, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "CHAIN"}},"output": {"value": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on."}, "pop": {"request": {"id": "1C70E14E-06F7D4F3"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "773939154", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "1773939", "sub_id": "2305819539"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "baeeae77fbab21687bd7e41c", "spanId": "ff08a7a6b85b", "parentSpanId": "e0a0fbd3c6", "kind": "SPAN_KIND_INTERNAL", "spanName": "retrieve", "links": [], "events": [], "traceState": "","startTime": 1718910212440884059, "endTime": 1718910213181800657, "duration": 740916598, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "RETRIEVER"}}, "pop": {"request": {"id": "E8A1F8D9-D35A-1F9F2E6F612"}}, "retrieval": {"documents": [{"document": {"content": ".PHONY: clean package test\\\\n\\\\nclean:\\\\n\\\\trm -rf build dist 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"spanId": "fc6f6acbc7", "parentSpanId": "f08a7a6b85b", "kind": "SPAN_KIND_INTERNAL", "spanName": "embedding", "links": [],"events": [], "traceState": "", "startTime": 1718910212441468561, "endTime": 1718910212617063167, "duration": 175594606, "attributes": {"embedding": {"embeddings": [{"embedding": {"text": "Question 1: what is pai-llm-trace.", "vector": "PAI LLM Trace system hid 1536 actual items"}}], "model_name": "text-embedding-ada-002"}, "openinference": {"span": {"kind": "EMBEDDING"}}, "pop": {"request": {"id": "56B9CCC3-CC84-80ED-53F60DC4A"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "17739391540", "sub_id": "23058944336"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": "opentelemetry", "version": "1.25.0"}}}, "traceId": "eae77fbab21687bd7e41c", "spanId": "f2ebcf12b27", "parentSpanId": "e0afbd3c6", "kind": "SPAN_KIND_INTERNAL", "spanName": "synthesize", "links": [], "events": [], "traceState": "", "startTime": 1718910213465461860, "endTime": 1718910215131655555, "duration": 1666193695, "attributes": {"input": {"value": "Question 1: what is pai-llm-trace."}, "openinference": {"span": {"kind": "CHAIN"}}, "output": {"value": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on."}, "pop": {"request": {"id": "67D34C0D-1CD5-11B7-BEE2-0F90DCC"}}}, "statusCode": "STATUS_CODE_OK", "statusMessage": ""}, {"aliyunUid": "1773939", "hostname": "qlc-ark2", "resources": {"deployment": {"environment": "cn-hangzhou"}, "service": {"app": {"name": "llm_trace_llamaindex_test"}, "name": "llm_trace_llamaindex_test_template", "owner": {"id": "177393915", "sub_id": "23058944336"}, "version": "0.0.1"}, "telemetry": {"sdk": {"language": "python", "name": 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{"completions": [{"message": {"content": "The term \\\\"pai-llm-trace\\\\" refers to a component or module within the project or codebase being worked on.", "role": "assistant"}}], "invocation_parameters": "{\\\\"temperature\\\\": 0.1, \\\\"model\\\\": \\\\"gpt-3.5-turbo\\\\"}", "model_name": "gpt-3.5-turbo", "prompt_template": {"template": "system: You are an expert Q&A system that is trusted around the world.\\\\nAlways answer the query using the provided context information, and not prior knowledge.\\\\nSome rules to follow:\\\\n1. Never directly reference the given context in your answer.\\\\n2. 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],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
+ 'staticInfo' => ['returnType' => 'synchronous'],
'responseDemo' => '[{"errorExample":"","example":"{\\n \\"TotalCount\\": 22,\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"ExecutionFailure\\",\\n \\"Message\\": \\"failed to get trace data\\",\\n \\"Traces\\": [\\n \\"open telemetry 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\\\\\\"traceState\\\\\\": \\\\\\"\\\\\\", \\\\\\"startTime\\\\\\": 1718910213465461860, \\\\\\"endTime\\\\\\": 1718910215131655555, \\\\\\"duration\\\\\\": 1666193695, \\\\\\"attributes\\\\\\": {\\\\\\"input\\\\\\": {\\\\\\"value\\\\\\": \\\\\\"Question 1: what is pai-llm-trace.\\\\\\"}, \\\\\\"openinference\\\\\\": {\\\\\\"span\\\\\\": {\\\\\\"kind\\\\\\": \\\\\\"CHAIN\\\\\\"}}, \\\\\\"output\\\\\\": {\\\\\\"value\\\\\\": \\\\\\"The term \\\\\\\\\\\\\\\\\\\\\\"pai-llm-trace\\\\\\\\\\\\\\\\\\\\\\" refers to a component or module within the project or codebase being worked on.\\\\\\"}, \\\\\\"pop\\\\\\": {\\\\\\"request\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"67D34C0D-1CD5-11B7-BEE2-0F90DCC\\\\\\"}}}, \\\\\\"statusCode\\\\\\": \\\\\\"STATUS_CODE_OK\\\\\\", \\\\\\"statusMessage\\\\\\": \\\\\\"\\\\\\"}, {\\\\\\"aliyunUid\\\\\\": \\\\\\"1773939\\\\\\", \\\\\\"hostname\\\\\\": \\\\\\"qlc-ark2\\\\\\", \\\\\\"resources\\\\\\": {\\\\\\"deployment\\\\\\": {\\\\\\"environment\\\\\\": \\\\\\"cn-hangzhou\\\\\\"}, \\\\\\"service\\\\\\": {\\\\\\"app\\\\\\": {\\\\\\"name\\\\\\": \\\\\\"llm_trace_llamaindex_test\\\\\\"}, \\\\\\"name\\\\\\": \\\\\\"llm_trace_llamaindex_test_template\\\\\\", \\\\\\"owner\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"177393915\\\\\\", \\\\\\"sub_id\\\\\\": \\\\\\"23058944336\\\\\\"}, \\\\\\"version\\\\\\": \\\\\\"0.0.1\\\\\\"}, \\\\\\"telemetry\\\\\\": {\\\\\\"sdk\\\\\\": {\\\\\\"language\\\\\\": \\\\\\"python\\\\\\", \\\\\\"name\\\\\\": \\\\\\"opentelemetry\\\\\\", \\\\\\"version\\\\\\": \\\\\\"1.25.0\\\\\\"}}}, \\\\\\"traceId\\\\\\": \\\\\\"ae0ae77fbab87bd7e41c\\\\\\", \\\\\\"spanId\\\\\\": \\\\\\"d8f3fc6d47c\\\\\\", \\\\\\"parentSpanId\\\\\\": \\\\\\"f2ebcf12b27\\\\\\", \\\\\\"kind\\\\\\": \\\\\\"SPAN_KIND_INTERNAL\\\\\\", \\\\\\"spanName\\\\\\": \\\\\\"chunking\\\\\\", \\\\\\"links\\\\\\": [], \\\\\\"events\\\\\\": [], \\\\\\"traceState\\\\\\": \\\\\\"\\\\\\", \\\\\\"startTime\\\\\\": 1718910213467525240, \\\\\\"endTime\\\\\\": 1718910213467894216, \\\\\\"duration\\\\\\": 368976, \\\\\\"attributes\\\\\\": {\\\\\\"openinference\\\\\\": {\\\\\\"span\\\\\\": {\\\\\\"kind\\\\\\": \\\\\\"CHAIN\\\\\\"}}, \\\\\\"pop\\\\\\": {\\\\\\"request\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"8EA31C-5-B8D1-EA177F9FC69D\\\\\\"}}}, \\\\\\"statusCode\\\\\\": \\\\\\"STATUS_CODE_OK\\\\\\", \\\\\\"statusMessage\\\\\\": \\\\\\"\\\\\\"}, {\\\\\\"aliyunUid\\\\\\": \\\\\\"1773939\\\\\\", \\\\\\"hostname\\\\\\": \\\\\\"qlc-ark2\\\\\\", \\\\\\"resources\\\\\\": {\\\\\\"deployment\\\\\\": {\\\\\\"environment\\\\\\": \\\\\\"cn-hangzhou\\\\\\"}, \\\\\\"service\\\\\\": {\\\\\\"app\\\\\\": {\\\\\\"name\\\\\\":\\\\\\"llm_trace_llamaindex_test\\\\\\"}, \\\\\\"name\\\\\\": \\\\\\"llm_trace_llamaindex_test_template\\\\\\", \\\\\\"owner\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"17739391\\\\\\", \\\\\\"sub_id\\\\\\": \\\\\\"23058944\\\\\\"}, \\\\\\"version\\\\\\": \\\\\\"0.0.1\\\\\\"}, \\\\\\"telemetry\\\\\\": {\\\\\\"sdk\\\\\\": {\\\\\\"language\\\\\\": \\\\\\"python\\\\\\", \\\\\\"name\\\\\\":\\\\\\"opentelemetry\\\\\\", \\\\\\"version\\\\\\": \\\\\\"1.25.0\\\\\\"}}}, \\\\\\"traceId\\\\\\": \\\\\\"444babd7e41c\\\\\\", \\\\\\"spanId\\\\\\": \\\\\\"0aba7c75\\\\\\", \\\\\\"parentSpanId\\\\\\": \\\\\\"f2ebc6f12b27\\\\\\", \\\\\\"kind\\\\\\": \\\\\\"SPAN_KIND_INTERNAL\\\\\\", \\\\\\"spanName\\\\\\": \\\\\\"chunking\\\\\\", \\\\\\"links\\\\\\": [], \\\\\\"events\\\\\\": [], \\\\\\"traceState\\\\\\": \\\\\\"\\\\\\", \\\\\\"startTime\\\\\\": 1718910213733013448, \\\\\\"endTime\\\\\\": 1718910213733446902, \\\\\\"duration\\\\\\": 433454, \\\\\\"attributes\\\\\\": {\\\\\\"openinference\\\\\\": {\\\\\\"span\\\\\\": {\\\\\\"kind\\\\\\": \\\\\\"CHAIN\\\\\\"}}, \\\\\\"pop\\\\\\": {\\\\\\"request\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"14D0D75-BCA7-AFE26C1A4\\\\\\"}}}, \\\\\\"statusCode\\\\\\": \\\\\\"STATUS_CODE_OK\\\\\\", \\\\\\"statusMessage\\\\\\": \\\\\\"\\\\\\"}, {\\\\\\"aliyunUid\\\\\\": \\\\\\"1773939\\\\\\", \\\\\\"hostname\\\\\\": \\\\\\"qlc-ark2\\\\\\", \\\\\\"resources\\\\\\": {\\\\\\"deployment\\\\\\": {\\\\\\"environment\\\\\\": \\\\\\"cn-hangzhou\\\\\\"}, \\\\\\"service\\\\\\": {\\\\\\"app\\\\\\": {\\\\\\"name\\\\\\": \\\\\\"llm_trace_llamaindex_test\\\\\\"}, \\\\\\"name\\\\\\": \\\\\\"llm_trace_llamaindex_test_template\\\\\\", \\\\\\"owner\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"177393915\\\\\\", \\\\\\"sub_id\\\\\\": \\\\\\"2305894433\\\\\\"}, \\\\\\"version\\\\\\": \\\\\\"0.0.1\\\\\\"}, \\\\\\"telemetry\\\\\\": {\\\\\\"sdk\\\\\\": {\\\\\\"language\\\\\\": \\\\\\"python\\\\\\", \\\\\\"name\\\\\\": \\\\\\"opentelemetry\\\\\\", \\\\\\"version\\\\\\": \\\\\\"1.25.0\\\\\\"}}}, \\\\\\"traceId\\\\\\": \\\\\\"ae025eae77fbab7bd7e41c\\\\\\", \\\\\\"spanId\\\\\\": \\\\\\"2cb6c51c5fb2\\\\\\", \\\\\\"parentSpanId\\\\\\": \\\\\\"f2ebc6f12b27\\\\\\", \\\\\\"kind\\\\\\": \\\\\\"SPAN_KIND_INTERNAL\\\\\\", \\\\\\"spanName\\\\\\": \\\\\\"llm\\\\\\",\\\\\\"links\\\\\\": [], \\\\\\"events\\\\\\": [], \\\\\\"traceState\\\\\\": \\\\\\"\\\\\\", \\\\\\"startTime\\\\\\": 1718910214008467118, \\\\\\"endTime\\\\\\": 1718910214849631714, \\\\\\"duration\\\\\\": 841164596, \\\\\\"attributes\\\\\\": {\\\\\\"llm\\\\\\": {\\\\\\"completions\\\\\\": [{\\\\\\"message\\\\\\": {\\\\\\"content\\\\\\": \\\\\\"The term \\\\\\\\\\\\\\\\\\\\\\"pai-llm-trace\\\\\\\\\\\\\\\\\\\\\\" refers to a component or module within the project or codebase being worked on.\\\\\\", \\\\\\"role\\\\\\": \\\\\\"assistant\\\\\\"}}], \\\\\\"invocation_parameters\\\\\\": \\\\\\"{\\\\\\\\\\\\\\\\\\\\\\"temperature\\\\\\\\\\\\\\\\\\\\\\": 0.1, \\\\\\\\\\\\\\\\\\\\\\"model\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\"gpt-3.5-turbo\\\\\\\\\\\\\\\\\\\\\\"}\\\\\\", \\\\\\"model_name\\\\\\": \\\\\\"gpt-3.5-turbo\\\\\\", \\\\\\"prompt_template\\\\\\": {\\\\\\"template\\\\\\": \\\\\\"system: You are an expert Q&A system that is trusted around the world.\\\\\\\\\\\\\\\\nAlways answer the query using the provided context information, and not prior knowledge.\\\\\\\\\\\\\\\\nSome rules to follow:\\\\\\\\\\\\\\\\n1. Never directly reference the given context in your answer.\\\\\\\\\\\\\\\\n2. Avoid statements like \\\\\\\\\'Based on the context, ...\\\\\\\\\' or \\\\\\\\\'The context information ...\\\\\\\\\' or anything along those lines.\\\\\\\\\\\\\\\\nuser: Contextinformation is below.\\\\\\\\\\\\\\\\n---------------------\\\\\\\\\\\\\\\\n{context_str}\\\\\\\\\\\\\\\\n---------------------\\\\\\\\\\\\\\\\nGiven the context information and not prior knowledge, answer the query.\\\\\\\\\\\\\\\\nQuery: {query_str}\\\\\\\\\\\\\\\\nAnswer: \\\\\\\\\\\\\\\\nassistant: \\\\\\", \\\\\\"variables\\\\\\": \\\\\\"{\\\\\\\\\\\\\\\\\\\\\\"context_str\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\"file_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n.PHONY: clean package test\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\nclean:\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__src/pai/llm_trace/__pycache__\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\npackage: clean\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\tpip install build && python -m build\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\nrun:\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\tbash tools/run_test.sh\\\\\\\\\\\\\\\\\\\\\\", \\\\\\\\\\\\\\\\\\\\\\"query_str\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\"Question 1: what is pai-llm-trace.\\\\\\\\\\\\\\\\\\\\\\"}\\\\\\"}, \\\\\\"prompts\\\\\\": [{\\\\\\"message\\\\\\": {\\\\\\"content\\\\\\": \\\\\\"You are an expert Q&A system that is trusted around the world.\\\\\\\\\\\\\\\\nAlways answer the query using the provided context information, and not prior knowledge.\\\\\\\\\\\\\\\\nSome rules to follow:\\\\\\\\\\\\\\\\n1. Never directly reference the given context in your answer.\\\\\\\\\\\\\\\\n2. Avoid statements like \\\\\\\\\'Based on the context, ...\\\\\\\\\' or \\\\\\\\\'The context information ...\\\\\\\\\' or anything along those lines.\\\\\\", \\\\\\"role\\\\\\": \\\\\\"system\\\\\\"}}, {\\\\\\"message\\\\\\": {\\\\\\"content\\\\\\": \\\\\\"Context information is below.\\\\\\\\\\\\\\\\n---------------------\\\\\\\\\\\\\\\\nfile_path: /mnt/disk1t/weidan.kong/work/llm_trace/client/makefile\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\n.PHONY: clean package test\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\nclean:\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\trm -rf build dist src/*.egg-info src/pai/llm_trace/__pycache__ src/pai/llm_trace/__pycache__\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\npackage: clean\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\tpip install build && python -m build\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\nrun:\\\\\\\\\\\\\\\\n\\\\\\\\\\\\\\\\tbash tools/run_test.sh\\\\\\\\\\\\\\\\n---------------------\\\\\\\\\\\\\\\\nGiven the context information and notprior knowledge, answer the query.\\\\\\\\\\\\\\\\nQuery: Question 1: what is pai-llm-trace.\\\\\\\\\\\\\\\\nAnswer: \\\\\\", \\\\\\"role\\\\\\": \\\\\\"user\\\\\\"}}], \\\\\\"token_count\\\\\\": {\\\\\\"completion\\\\\\": \\\\\\"26\\\\\\", \\\\\\"prompt\\\\\\": \\\\\\"210\\\\\\", \\\\\\"total\\\\\\": \\\\\\"236\\\\\\"}}, \\\\\\"openinference\\\\\\": {\\\\\\"span\\\\\\": {\\\\\\"kind\\\\\\": \\\\\\"LLM\\\\\\"}}, \\\\\\"output\\\\\\": {\\\\\\"value\\\\\\": \\\\\\"The term \\\\\\\\\\\\\\\\\\\\\\"pai-llm-trace\\\\\\\\\\\\\\\\\\\\\\" refers to a component or module within the project or codebase being worked on.\\\\\\"}, \\\\\\"pop\\\\\\": {\\\\\\"request\\\\\\": {\\\\\\"id\\\\\\": \\\\\\"AA68F16D-A8B7-1BB0-1BD1E47B5\\\\\\"}}}, \\\\\\"statusCode\\\\\\": \\\\\\"STATUS_CODE_OK\\\\\\", \\\\\\"statusMessage\\\\\\": \\\\\\"\\\\\\"}]\\"\\n ]\\n}","type":"json"}]',
'title' => '按照条件查找链路',
'requestParamsDescription' => '所有参数之间是AND的关系。spanIds的多个id之间是OR的关系。traceIds的多个id之间是OR的关系。一个trace里任何一个span如果符合搜索条件,那么这个trace就符合搜索条件。'."\n"
."\n"
.'如果不需要支持opentelemetry格式的数据,建议把OpentelemetryCompatible参数设置成False,可以简化返回的json string的结构。',
- ],
- 'CreateServiceIdentityRole' => [
- 'summary' => '创建PaiLLMTrace服务需要使用的服务关联角色。',
- 'path' => '/api/v1/PAILLMTrace/ServiceIdentityRole',
- 'methods' => [
- 'post',
- ],
- 'schemes' => [
- 'https',
+ 'changeSet' => [],
+ 'ramActions' => [
+ [
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListTracesDatas',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
+ ],
+ ],
+ ],
],
+ ],
+ 'StopOnlineEvalTask' => [
+ 'summary' => '停止一个链路评估任务的执行。任务停止后,不能再做任何配置改动,任务也不会再生成任何新的评估结果。',
+ 'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}/stop',
+ 'methods' => ['put'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
'operationType' => 'write',
'deprecated' => false,
'systemTags' => [
- 'operationType' => 'none',
+ 'operationType' => 'update',
'riskType' => 'none',
'chargeType' => 'free',
- 'abilityTreeCode' => '226578',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
+ 'abilityTreeCode' => '241121',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'TaskId',
+ 'in' => 'path',
+ 'schema' => ['description' => '链路评估任务的id。', 'type' => 'string', 'required' => true, 'example' => '518b1d2f3cfca4ad3836ace4db69ba59c'],
],
- 'tenantRelevance' => 'publicInformation',
],
- 'parameters' => [],
'responses' => [
200 => [
'schema' => [
@@ -2109,161 +1302,103 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'title' => '调用失败后的错误码。',
- 'description' => '调用失败后的错误码。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'title' => '调用失败后的错误信息。',
- 'description' => '调用失败后的错误信息。',
- 'type' => 'string',
- 'example' => 'User don\'t have permission to create SLR.',
- ],
- 'RoleName' => [
- 'description' => '操作服务关联角色名称,默认值:AliyunServiceRoleForPaiLLMTrace。',
- 'type' => 'string',
- 'example' => 'AliyunServiceRoleForPaiLLMTrace',
- ],
- 'RoleDetails' => [
- 'description' => '角色详细信息。',
- 'type' => 'string',
- 'example' => 'AliyunServiceRoleForPaiLLMTrace',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the POP request', 'type' => 'string', 'example' => '31E5FBC2-792D-5B5C-A5EB-3019984ABFC8'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'task id is empty'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'eventInfo' => [
- 'enable' => false,
- 'eventNames' => [],
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"User don\'t have permission to create SLR.\\",\\n \\"RoleName\\": \\"AliyunServiceRoleForPaiLLMTrace\\",\\n \\"RoleDetails\\": \\"AliyunServiceRoleForPaiLLMTrace\\"\\n}","type":"json"}]',
- 'title' => '创建服务关联角色。',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"31E5FBC2-792D-5B5C-A5EB-3019984ABFC8\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"task id is empty\\"\\n}","type":"json"}]',
+ 'title' => '停止一个链路评估任务。',
],
- 'GetServiceIdentityRole' => [
- 'summary' => '获取服务关联角色相关信息。',
- 'path' => '/api/v1/PAILLMTrace/ServiceIdentityRole',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
+ 'UpdateOnlineEvalTask' => [
+ 'summary' => '更改一个链路评估任务的配置。',
+ 'path' => '/api/v1/PAILLMTrace/onlineevaltasks/{TaskId}',
+ 'methods' => ['put'],
+ 'schemes' => ['https'],
'security' => [
[
'AK' => [],
],
],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
- 'operationType' => 'read',
+ 'consumes' => ['application/json'],
+ 'produces' => ['application/json'],
+ 'operationType' => 'write',
'deprecated' => false,
'systemTags' => [
- 'operationType' => 'none',
+ 'operationType' => 'update',
'riskType' => 'none',
'chargeType' => 'free',
- 'abilityTreeCode' => '229846',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
- 'tenantRelevance' => 'publicInformation',
+ 'abilityTreeCode' => '241120',
+ 'abilityTreeNodes' => ['FEATURElearn0UHCCK'],
],
- 'parameters' => [],
- 'responses' => [
- 200 => [
+ 'parameters' => [
+ [
+ 'name' => 'TaskId',
+ 'in' => 'path',
+ 'schema' => ['description' => '链路评估任务的id。', 'type' => 'string', 'required' => true, 'example' => '518bc0f833d9a4ad3836ace4db69ba59c'],
+ ],
+ [
+ 'name' => 'body',
+ 'in' => 'body',
+ 'style' => 'json',
'schema' => [
- 'title' => 'Schema of Response',
- 'description' => 'Schema of Response',
+ 'description' => '请求体。',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'EntityNotExist',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'Serivce role does not exit.',
- ],
- 'RoleDetail' => [
- 'description' => '角色详细信息。',
- 'type' => 'string',
- 'example' => 'AliyunServiceRoleForPaiLLMTrace',
- ],
- 'RoleName' => [
- 'description' => '操作服务关联角色名称,默认值:AliyunServiceRoleForPaiLLMTrace。',
- 'type' => 'string',
- 'example' => 'AliyunServiceRoleForPaiLLMTrace',
+ 'TaskName' => ['description' => '任务名称', 'type' => 'string', 'required' => false, 'example' => 'foo大模型应用效果评估'],
+ 'AppName' => ['description' => '用户的基于大模型的应用的名称', 'type' => 'string', 'required' => false, 'example' => 'my-llm-one'],
+ 'Filters' => [
+ 'description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义搜索筛选条件的列表。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '自定义过滤条件对象。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Key' => [
+ 'description' => '过滤条件的key',
+ 'type' => 'string',
+ 'required' => false,
+ 'enumValueTitles' => ['Status' => 'Status', 'SpanName' => 'SpanName', 'Input' => 'Input', 'TraceType' => 'TraceType', 'SpanType' => 'SpanType', 'ServiceName' => 'ServiceName', 'Output' => 'Output', 'TraceName' => 'TraceName', 'ServiceId' => 'ServiceId'],
+ 'example' => 'ServiceId'."\n"
+ .'ServiceName'."\n"
+ .'Input'."\n"
+ .'Output'."\n"
+ .'Status'."\n"
+ .'TraceType'."\n"
+ .'SpanType'."\n"
+ .'TraceName'."\n"
+ .'SpanName',
+ ],
+ 'Operator' => [
+ 'description' => '过滤条件匹配操作符',
+ 'type' => 'string',
+ 'required' => false,
+ 'enumValueTitles' => ['Contains' => 'Contains', '=' => '=', 'StartsWith' => 'StartsWith'],
+ 'example' => '='."\n"
+ .'StartsWith'."\n"
+ .'Contains',
+ ],
+ 'Value' => ['description' => '过滤条件的值', 'type' => 'string', 'required' => false, 'example' => 'foo'],
+ ],
+ 'required' => false,
+ ],
+ 'required' => false,
],
+ 'StartTime' => ['description' => '链路数据的UTC开始时间', 'type' => 'string', 'required' => false, 'example' => '2024-07-31 08:30:00'],
+ 'EndTime' => ['description' => '链路数据的UTC结束时间', 'type' => 'string', 'required' => false, 'example' => '2024-09-02 22:24:00'],
+ 'SamplingFrequencyMinutes' => ['description' => '评估任务要搜索一定量的用户应用产生的链路数据,作为评估操作的输入数据。这是定义任务每次搜索输入数据的时间窗口的宽度。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '10'],
+ 'SamplingRatio' => ['description' => '评估任务在一个时间窗口里搜索到的数据,真正作为评估输入数据的百分比。比如100表示搜索到的所有数据都作为评估输入。又比如20表示从搜索到的数据里随机取20%作为评估输入。', 'type' => 'integer', 'format' => 'int32', 'required' => false, 'example' => '50'],
+ 'Description' => ['description' => '任务描述信息', 'type' => 'string', 'required' => false, 'example' => '这个任务做了这些事。'],
+ 'EvaluationConfig' => ['description' => '从json格式的链路数据里要一些提取特定路径上的值,作为评估操作的输入。在这个EvaluationConfig结构体里定义这些json路径。', 'required' => false, '$ref' => '#/components/schemas/EvaluationConfig'],
+ 'ModelConfig' => ['description' => '评估任务内部使用的大模型的访问配置结构体。', 'required' => false, '$ref' => '#/components/schemas/ModelConfig'],
],
+ 'required' => false,
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
- ],
- 'eventInfo' => [
- 'enable' => false,
- 'eventNames' => [],
- ],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"EntityNotExist\\",\\n \\"Message\\": \\"Serivce role does not exit.\\",\\n \\"RoleDetail\\": \\"AliyunServiceRoleForPaiLLMTrace\\",\\n \\"RoleName\\": \\"AliyunServiceRoleForPaiLLMTrace\\"\\n}","type":"json"}]',
- 'title' => '获取服务关联角色。',
- ],
- 'GetXtraceToken' => [
- 'summary' => '获取Xtrace服务中所使用的token,以及上传trace数据所需要的endpoint。',
- 'path' => '/api/v1/PAILLMTrace/XtraceToken',
- 'methods' => [
- 'get',
- ],
- 'schemes' => [
- 'https',
- ],
- 'security' => [
- [
- 'AK' => [],
- ],
- ],
- 'consumes' => [
- 'application/json',
- ],
- 'produces' => [
- 'application/json',
- ],
- 'operationType' => 'read',
- 'deprecated' => false,
- 'systemTags' => [
- 'operationType' => 'none',
- 'riskType' => 'none',
- 'chargeType' => 'free',
- 'abilityTreeCode' => '230427',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
- ],
- 'tenantRelevance' => 'publicInformation',
- ],
- 'parameters' => [],
'responses' => [
200 => [
'schema' => [
@@ -2271,229 +1406,212 @@
'description' => 'Schema of Response',
'type' => 'object',
'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'Id of the request',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'InvalidInputParams',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'get_xtrace_token: failed, ERROR: NoPermission',
- ],
- 'Token' => [
- 'description' => 'arms链路上传使用的token',
- 'type' => 'string',
- 'example' => 'h1abcw7@5abcb_h1abcw7@5abc01',
- ],
- 'HttpEndpoint' => [
- 'description' => 'arms链路上传使用的endpoint.',
- 'type' => 'string',
- 'example' => 'http://tracing-analysis-dc-hz.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces',
- ],
- 'HttpInternalEndpoint' => [
- 'description' => '阿里云内部使用的arms链路上传的endpoint',
- 'type' => 'string',
- 'example' => 'http://tracing-analysis-dc-hz-internal.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces',
- ],
- 'GrpcEndpoint' => [
- 'description' => 'arms链路上传使用的grpc endpoint',
- 'type' => 'string',
- 'example' => 'http://tracing-analysis-dc-hz.aliyuncs.com:8090',
- ],
- 'GrpcInternalEndpoint' => [
- 'description' => '阿里云内部使用的arms链路上传的grpc endpoint',
- 'type' => 'string',
- 'example' => 'http://tracing-analysis-dc-hz-internal.aliyuncs.com:8090',
- ],
+ 'RequestId' => ['title' => 'Id of the request', 'description' => 'Id of the POP request', 'type' => 'string', 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5'],
+ 'Code' => ['description' => '内部错误码。只在响应出错时被设置。', 'type' => 'string', 'example' => 'InvalidInputParams'],
+ 'Message' => ['description' => '响应错误信息。只在响应出错时被设置。', 'type' => 'string', 'example' => 'cannot modify a stopped task'],
],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
+ 'staticInfo' => ['returnType' => 'synchronous'],
+ 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"cannot modify a stopped task\\"\\n}","type":"json"}]',
+ 'title' => '更改一个链路评估任务的配置。',
+ ],
+ ],
+ 'endpoints' => [
+ ['regionId' => 'cn-shenzhen', 'regionName' => '华南1(深圳)', 'areaId' => 'asiaPacific', 'areaName' => '亚太', 'public' => 'paillmtrace.cn-shenzhen.aliyuncs.com', 'endpoint' => 'paillmtrace.cn-shenzhen.aliyuncs.com', 'vpc' => 'paillmtrace-vpc.cn-shenzhen.aliyuncs.com'],
+ ['regionId' => 'cn-beijing', 'regionName' => '华北2(北京)', 'areaId' => 'asiaPacific', 'areaName' => '亚太', 'public' => 'paillmtrace.cn-beijing.aliyuncs.com', 'endpoint' => 'paillmtrace.cn-beijing.aliyuncs.com', 'vpc' => 'paillmtrace-vpc.cn-beijing.aliyuncs.com'],
+ ['regionId' => 'cn-shanghai', 'regionName' => '华东2(上海)', 'areaId' => 'asiaPacific', 'areaName' => '亚太', 'public' => 'paillmtrace.cn-shanghai.aliyuncs.com', 'endpoint' => 'paillmtrace.cn-shanghai.aliyuncs.com', 'vpc' => 'paillmtrace-vpc.cn-shanghai.aliyuncs.com'],
+ ['regionId' => 'cn-hangzhou', 'regionName' => '华东1(杭州)', 'areaId' => 'asiaPacific', 'areaName' => '亚太', 'public' => 'paillmtrace.cn-hangzhou.aliyuncs.com', 'endpoint' => 'paillmtrace.cn-hangzhou.aliyuncs.com', 'vpc' => 'paillmtrace-vpc.cn-hangzhou.aliyuncs.com'],
+ ],
+ 'errorCodes' => [],
+ 'changeSet' => [],
+ 'ram' => [
+ 'productCode' => 'PAILLMTrace',
+ 'productName' => '人工智能平台 PAI',
+ 'ramCodes' => ['paillmtrace'],
+ 'ramLevel' => '资源级',
+ 'ramConditions' => [
+ [
+ 'name' => 'paillmtrace:TestThis',
+ 'schema' => ['type' => 'String', 'description' => 'paillmtrace:TestThis'],
],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"InvalidInputParams\\",\\n \\"Message\\": \\"get_xtrace_token: failed, ERROR: NoPermission\\",\\n \\"Token\\": \\"h1abcw7@5abcb_h1abcw7@5abc01\\",\\n \\"HttpEndpoint\\": \\"http://tracing-analysis-dc-hz.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces\\",\\n \\"HttpInternalEndpoint\\": \\"http://tracing-analysis-dc-hz-internal.aliyuncs.com/aaa@bbb@ccc/api/otlp/traces\\",\\n \\"GrpcEndpoint\\": \\"http://tracing-analysis-dc-hz.aliyuncs.com:8090\\",\\n \\"GrpcInternalEndpoint\\": \\"http://tracing-analysis-dc-hz-internal.aliyuncs.com:8090\\"\\n}","type":"json"}]',
- 'title' => '获取Xtrace服务的Token。',
],
- 'ListEvalResults' => [
- 'summary' => '获取链路数据评估结果列表。和EvaluateTrace API搭配使用。EvaluateTrace触发评估操作。ListEvalResults获取评估结果。',
- 'path' => '/api/v1/PAILLMTrace/eval/results',
- 'methods' => [
- 'get',
+ 'ramActions' => [
+ [
+ 'apiName' => 'GetServiceIdentityRole',
+ 'description' => '获取服务关联角色。',
+ 'operationType' => 'none',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:GetServiceIdentityRole',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
+ ],
+ ],
],
- 'schemes' => [
- 'https',
+ [
+ 'apiName' => 'CreateOnlineEvalTask',
+ 'description' => '创建一个链路评估任务。',
+ 'operationType' => 'create',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:CreateOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/*'],
+ ],
+ ],
],
- 'security' => [
- [
- 'AK' => [],
+ [
+ 'apiName' => 'ListTracesDatas',
+ 'description' => '按照条件查找链路',
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListTracesDatas',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
+ ],
],
],
- 'consumes' => [
- 'application/json',
+ [
+ 'apiName' => 'GetOnlineEvalTask',
+ 'description' => '获取一个链路评估任务的详细信息。',
+ 'operationType' => 'get',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:GetOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
+ ],
+ ],
],
- 'produces' => [
- 'application/json',
+ [
+ 'apiName' => 'GetXtraceToken',
+ 'description' => '获取Xtrace服务的Token。',
+ 'operationType' => 'none',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:GetXtraceToken',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
+ ],
+ ],
],
- 'operationType' => 'read',
- 'deprecated' => false,
- 'systemTags' => [
- 'operationType' => 'list',
- 'riskType' => 'none',
- 'chargeType' => 'free',
- 'abilityTreeCode' => '237145',
- 'abilityTreeNodes' => [
- 'FEATURElearn0UHCCK',
+ [
+ 'apiName' => 'UpdateOnlineEvalTask',
+ 'description' => '更改一个链路评估任务的配置。',
+ 'operationType' => 'update',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:UpdateOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
+ ],
],
],
- 'parameters' => [
- [
- 'name' => 'RecordIds',
- 'in' => 'query',
- 'style' => 'simple',
- 'schema' => [
- 'description' => '链路数据id列表。',
- 'type' => 'array',
- 'items' => [
- 'description' => '链路数据id',
- 'type' => 'string',
- 'required' => false,
- 'example' => '7423034a494ca17c16443ffd16336981',
- ],
- 'required' => false,
+ [
+ 'apiName' => 'StopOnlineEvalTask',
+ 'description' => '停止一个链路评估任务。',
+ 'operationType' => 'update',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:StopOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
],
],
- [
- 'name' => 'PageNumber',
- 'in' => 'query',
- 'schema' => [
- 'description' => '分页查询时设置的页码。 起始值:1。默认值:1。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '1',
+ ],
+ [
+ 'apiName' => 'CreateServiceIdentityRole',
+ 'description' => '创建服务关联角色。',
+ 'operationType' => 'none',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:CreateServiceLinkedRole',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
],
],
- [
- 'name' => 'PageSize',
- 'in' => 'query',
- 'schema' => [
- 'description' => '分页大小,默认值10,最大值50。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'required' => false,
- 'example' => '10',
+ ],
+ [
+ 'apiName' => 'ListOnlineEvalTaskResults',
+ 'description' => '获取一个链路评估任务的结果列表',
+ 'operationType' => 'get',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListOnlineEvalTaskResults',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
],
],
- [
- 'name' => 'EvaluationId',
- 'in' => 'query',
- 'schema' => [
- 'description' => '链路数据所属的评估任务的任务id。',
- 'type' => 'string',
- 'required' => false,
- 'example' => '0bb05ae2a2dc11ef9757faaa2a1ec0c6',
+ ],
+ [
+ 'apiName' => 'ListOnlineEvalTasks',
+ 'description' => '获取链路评估任务列表。',
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListOnlineEvalTasks',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/*'],
],
],
- [
- 'name' => 'Keyword',
- 'in' => 'query',
- 'schema' => [
- 'description' => '查询关键字,在评估输入数据里查询。',
- 'type' => 'string',
- 'required' => false,
- 'example' => 'foo',
+ ],
+ [
+ 'apiName' => 'EvaluateTrace',
+ 'description' => '评估一条指定的链路数据。',
+ 'operationType' => 'none',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:EvaluateTrace',
+ 'authLevel' => 'operate',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => '全部资源', 'arn' => '*'],
],
],
],
- 'responses' => [
- 200 => [
- 'schema' => [
- 'title' => 'Schema of Response',
- 'description' => 'Schema of Response',
- 'type' => 'object',
- 'properties' => [
- 'RequestId' => [
- 'title' => 'Id of the request',
- 'description' => 'POP请求id',
- 'type' => 'string',
- 'example' => '6A87228C-969A-1381-98CF-AE07AE630FA5',
- ],
- 'Code' => [
- 'description' => '内部错误码。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'ExecutionFailure',
- ],
- 'Message' => [
- 'description' => '响应错误信息。只在响应出错时被设置。',
- 'type' => 'string',
- 'example' => 'cannot get data back.',
- ],
- 'TotalCount' => [
- 'description' => '符合条件的评估结果的总数。',
- 'type' => 'integer',
- 'format' => 'int32',
- 'example' => '22',
- ],
- 'EvaluationResults' => [
- 'description' => '资源评估结果列表。',
- 'type' => 'array',
- 'items' => [
- 'description' => '一条链路记录的评估结果。',
- 'type' => 'string',
- 'example' => '[{'."\n"
- .' "result": {'."\n"
- .' "correctness": {'."\n"
- .' "label": "正确",'."\n"
- .' "score": 1,'."\n"
- .' "reason": " \\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容详细且具体,提供了多种选择。\\n - 回答内容与问题相关,提供了多种礼物建议。\\n</think>\\n<answer>{\\"label\\":\\"正确\\", \\"reason\\":\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\"}</answer></answer>",'."\n"
- .' "name": "正确性"'."\n"
- .' },'."\n"
- .' "faithfulness": {'."\n"
- .' "label": "事实",'."\n"
- .' "score": 1,'."\n"
- .' "reason": " \\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\n</think>\\n<answer>{\\"label\\":\\"事实\\", \\"reason\\":\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\"}</answer></answer>",'."\n"
- .' "name": "真实性"'."\n"
- .' }'."\n"
- .' },'."\n"
- .' "eval_app_type": "qa"'."\n"
- .'}]',
- ],
- ],
- ],
+ [
+ 'apiName' => 'DeleteOnlineEvalTask',
+ 'description' => '删除一个链路评估任务。',
+ 'operationType' => 'delete',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:DeleteOnlineEvalTask',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
],
],
],
- 'staticInfo' => [
- 'returnType' => 'synchronous',
+ [
+ 'apiName' => 'ListEvalResults',
+ 'description' => '获取链路数据评估结果',
+ 'operationType' => 'list',
+ 'ramAction' => [
+ 'action' => 'paillmtrace:ListEvalResults',
+ 'authLevel' => 'resource',
+ 'actionConditions' => [],
+ 'resources' => [
+ ['validationType' => 'always', 'product' => 'PAILLMTrace', 'resourceType' => 'Eval', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:eval/{#EvalId}'],
+ ],
+ ],
],
- 'responseDemo' => '[{"errorExample":"","example":"{\\n \\"RequestId\\": \\"6A87228C-969A-1381-98CF-AE07AE630FA5\\",\\n \\"Code\\": \\"ExecutionFailure\\",\\n \\"Message\\": \\"cannot get data back.\\",\\n \\"TotalCount\\": 22,\\n \\"EvaluationResults\\": [\\n \\"[{\\\\n \\\\\\"result\\\\\\": {\\\\n \\\\\\"correctness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"正确\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾问题:询问了26岁理工宅男的礼物建议。\\\\\\\\n - 回顾答案:提供了多种礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容详细且具体,提供了多种选择。\\\\\\\\n - 回答内容与问题相关,提供了多种礼物建议。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"正确\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"提供了多种礼物建议,与问题相关,内容详细且具体。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"正确性\\\\\\"\\\\n },\\\\n \\\\\\"faithfulness\\\\\\": {\\\\n \\\\\\"label\\\\\\": \\\\\\"事实\\\\\\",\\\\n \\\\\\"score\\\\\\": 1,\\\\n \\\\\\"reason\\\\\\": \\\\\\" \\\\\\\\n - 回顾查询内容,用户询问了适合26岁理工宅男的礼物建议。\\\\\\\\n - 回答内容提供了多个具体的礼物建议,包括智能穿戴设备、最新款电子产品、编程相关书籍、DIY组装套件、桌游或拼图、科幻小说/漫画集、个性化定制礼品、体验式礼物。\\\\\\\\n - 回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\n - 回答内容没有提供虚构的信息,因此可以认为是基于事实的。\\\\\\\\n</think>\\\\\\\\n<answer>{\\\\\\\\\\\\\\"label\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"事实\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"reason\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"回答内容提供了多种可能的礼物选项,这些选项在逻辑上是合理的,且与用户的需求相关。\\\\\\\\\\\\\\"}</answer></answer>\\\\\\",\\\\n \\\\\\"name\\\\\\": \\\\\\"真实性\\\\\\"\\\\n }\\\\n },\\\\n \\\\\\"eval_app_type\\\\\\": \\\\\\"qa\\\\\\"\\\\n}]\\"\\n ]\\n}","type":"json"}]',
- 'title' => '获取链路数据评估结果',
],
- ],
- 'endpoints' => [
- [
- 'regionId' => 'cn-hangzhou',
- 'endpoint' => 'paillmtrace.cn-hangzhou.aliyuncs.com',
- ],
- [
- 'regionId' => 'cn-beijing',
- 'endpoint' => 'paillmtrace.cn-beijing.aliyuncs.com',
- ],
- [
- 'regionId' => 'cn-shanghai',
- 'endpoint' => 'paillmtrace.cn-shanghai.aliyuncs.com',
- ],
- [
- 'regionId' => 'cn-shenzhen',
- 'endpoint' => 'paillmtrace.cn-shenzhen.aliyuncs.com',
+ 'resourceTypes' => [
+ ['validationType' => 'always', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/*'],
+ ['validationType' => 'always', 'resourceType' => 'OnlineEvaluation', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:onlineevaluation/{#OnlineEvaluationId}'],
+ ['validationType' => 'always', 'resourceType' => 'Eval', 'arn' => 'acs:paillmtrace:{#regionId}:{#accountId}:eval/{#EvalId}'],
],
],
];