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。
调试
您可以在OpenAPI Explorer中直接运行该接口，免去您计算签名的困扰。运行成功后，OpenAPI Explorer可以自动生成SDK代码示例。
授权信息
下表是API对应的授权信息，可以在RAM权限策略语句的Action元素中使用，用来给RAM用户或RAM角色授予调用此API的权限。具体说明如下：
- 操作：是指具体的权限点。
- 访问级别：是指每个操作的访问级别，取值为写入（Write）、读取（Read）或列出（List）。
- 资源类型：是指操作中支持授权的资源类型。具体说明如下：
- 对于必选的资源类型，用前面加 * 表示。
- 对于不支持资源级授权的操作，用
全部资源表示。
- 条件关键字：是指云产品自身定义的条件关键字。
- 关联操作：是指成功执行操作所需要的其他权限。操作者必须同时具备关联操作的权限，操作才能成功。
| 操作 | 访问级别 | 资源类型 | 条件关键字 | 关联操作 |
|---|---|---|---|---|
| paillmtrace:ListTracesDatas | list | *全部资源 * |
| 无 |
请求语法
GET /api/v1/PAILLMTrace/TracesDatas HTTP/1.1
请求参数
| 名称 | 类型 | 必填 | 描述 | 示例值 |
|---|---|---|---|---|
| TraceIds | array | 否 | 链路 id 数组。 | |
| string | 否 | 一个链路 id | 4d097fb3d451bad0148feefb4ab95 | |
| SpanIds | array | 否 | span id 数组。一条链路记录里包含一个或多个 span。 | |
| string | 否 | 一个 span id | 17d4ef87a1fe8 | |
| SessionId | string | 否 | 链路记录里 attributes.gen_ai.session.id 字段的值。默认为空。 | e5895063-9b29-4ce4-b0fd-a018bfa11111 |
| MinTime | string | 是 | 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） | 2024-01-31 2024-12-31 23:59:59 |
| MaxTime | string | 否 | 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） | 2024-01-31 2024-12-31 23:59:59 |
| PageNumber | integer | 否 | 分页查询时设置的页码。 起始值：1。默认值：1。 | 1 |
| PageSize | integer | 否 | 分页大小，默认值 10，最大值 50。 | 10 |
| SpanName | string | 否 | 查找 Trace 时使用的过滤条件，返回包含该 span 名称的 Trace。 | ChatFlow.astream_chat |
| LlmAppName | string | 否 | 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。 | My.super_LLM-app2 |
| MinDuration | float | 否 | 查找 Trace 时使用的过滤条件，Trace 的最小持续时长。单位为秒（s）。 | 2 |
| MaxDuration | float | 否 | 查找 Trace 时使用的过滤条件，Trace 的最大持续时长。单位为秒（s）。 | 5 |
| OpentelemetryCompatible | boolean | 否 | 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。 | False |
| HasStatusMessage | boolean | 否 | 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。 | False |
| HasEvents | boolean | 否 | 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。 | False |
| OwnerSubId | string | 否 | 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。 | 123456789 |
| EndUserId | string | 否 | 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。 | end-user.12345 |
| Filters | array<object> | 否 | 额外的过滤参数 | |
| object | 否 | 过滤参数对象 | ||
| Key | string | 否 | 过滤参数名称，支持若干预定义参数和用户自定义参数。
serviceid: resources.service.id servicename: resources.service.name input: attributes.input.value output: attributes.output.value status: statusCode tracetype: parentSpanId 是 0 的 span，attributes.gen_ai.span.kind tracename: parentSpanId 是 0 的 span，spanName
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。 枚举值：
| output |
| Operator | string | 否 | 参数运算符。大小写不敏感。目前支持：‘=’，’contains‘，'startswith'。 枚举值：
| contains |
| Value | string | 否 | 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。 | 智能填写 |
| TraceReduceMethod | string | 否 | 对返回的链路数据做内容简化的方法，用于减少数据返回量。 REMOVE_EMBEDDING - 将所有的 embedding 数组具体内容清除 ROOT_ONLY - 每个链路仅返回 root span，且如果 root span 内容也做 REMOVE_EMBEDDING 处理。 不填写 - 则维持原有数据 | REMOVE_EMBEDDING ROOT_ONLY |
| SortBy | string | 否 | 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。 枚举值：
| StartTime Duration TotalTokens TraceId |
| SortOrder | string | 否 | 排序方向。取值范围：
| DESC ASC |
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。
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。
返回参数
示例
正常返回示例
JSON格式
{
"TotalCount": 22,
"RequestId": "6A87228C-969A-1381-98CF-AE07AE630FA5",
"Code": "ExecutionFailure",
"Message": "failed to get trace data",
"Traces": [
"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\nopen 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\", 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]
}错误码
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