获取研究任务列表
1 min read
get/knowledge-fs/spaces/{knowledge_base_id}/research-tasks
Request example
curl --request GET \
--url https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks"
headers = {
"Authorization": "Bearer <token>",
}
response = requests.request("GET", url, headers=headers)
print(response.text)const response = await fetch('https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks', {
method: 'GET',
headers: {
'Authorization': 'Bearer <token>'
}
});
const data = await response.json();
console.log(data);<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => 'https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_CUSTOMREQUEST => 'GET',
CURLOPT_HTTPHEADER => [
'Authorization: Bearer <token>',
],
]);
$response = curl_exec($curl);
curl_close($curl);
echo $response;package main
import (
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks"))
.header("Authorization", "Bearer <token>")
.method("GET", HttpRequest.BodyPublishers.noBody())
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());require 'uri'
require 'net/http'
url = URI('https://api.dify.ai/v1/knowledge-fs/spaces/{knowledge_base_id}/research-tasks')
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = url.scheme == 'https'
request = Net::HTTP::Get.new(url)
request['Authorization'] = 'Bearer <token>'
response = http.request(request)
puts response.read_bodyResponse
{
"data": [
{
"budget_usd": 1.5,
"completed_at": 1788681642000,
"cost": {
"budgetUsd": 1.5,
"entries": [
{
"costUsd": 0.0011,
"provider": "openai",
"recordedAt": 1788681603000,
"step": "research.plan",
"usage": {
"completionTokens": 58,
"estimated": false,
"promptTokens": 310,
"researchModelCallId": "attempt:1:call-1",
"reserved": false,
"status": "succeeded",
"totalTokens": 368
}
},
{
"costUsd": 0.0124,
"provider": "openai",
"recordedAt": 1788681641000,
"step": "query.answer",
"usage": {
"completionTokens": 412,
"estimated": false,
"promptTokens": 3180,
"researchModelCallId": "attempt:1:call-2",
"reserved": false,
"status": "succeeded",
"totalTokens": 3592
}
}
],
"totalUsd": 0.0135
},
"created_at": 1788681600000,
"error": null,
"failure": null,
"id": "e4d1b7a2-3c5f-4d8e-9a0b-1c2d3e4f5a6b",
"knowledge_space_id": "b2f1d3a4-5e6c-4a7b-8c9d-0e1f2a3b4c5d",
"limits": {
"max_retrieval_steps": 8,
"max_scanned_resources": 800,
"max_tool_calls": 12,
"timeout_ms": 120000
},
"metadata": {
"client_request_id": "client-20260907-0001",
"ticket": "SUP-1042"
},
"mode": "research",
"query": "What changed in the 2025 refund policy, and which regions are affected?",
"stage": "completed",
"top_k": 10,
"updated_at": 1788681642000
},
{
"budget_usd": null,
"completed_at": 1788678090000,
"cost": {
"entries": [
{
"costUsd": 0.0009,
"provider": "openai",
"recordedAt": 1788678003000,
"step": "graph.plan",
"usage": {
"completionTokens": 44,
"estimated": false,
"promptTokens": 260,
"researchModelCallId": "attempt:1:call-3",
"reserved": false,
"status": "succeeded",
"totalTokens": 304
}
}
],
"totalUsd": 0.0009
},
"created_at": 1788678000000,
"error": "RESEARCH_TASK_EXECUTION_ATTEMPTS_EXHAUSTED",
"failure": {
"action": "retry",
"category": "dependency",
"code": "RESEARCH_TASK_EXECUTION_ATTEMPTS_EXHAUSTED",
"message": "A service required by Agent Knowledge Base is temporarily unavailable.",
"parameters": null,
"retryPolicy": "manual",
"stage": "research",
"traceId": "0a9b8c7d-6e5f-4a4b-9c3d-2e1f0a9b8c7d"
},
"id": "0a9b8c7d-6e5f-4a4b-9c3d-2e1f0a9b8c7d",
"knowledge_space_id": "b2f1d3a4-5e6c-4a7b-8c9d-0e1f2a3b4c5d",
"limits": null,
"metadata": {},
"mode": "deep",
"query": "Which suppliers are named in the 2024 audit findings?",
"stage": "failed",
"top_k": 10,
"updated_at": 1788678090000
}
],
"next_cursor": null
}{
"code": "knowledge_fs_invalid_request",
"message": "Agent Knowledge Base request is invalid.",
"status": 400,
"violations": [
{
"field": [
"limit"
],
"type": "less_than_equal"
}
]
}{
"code": "knowledge_fs_invalid_credential",
"message": "Invalid Agent Knowledge Base service credential.",
"status": 401
}{
"code": "unauthorized",
"message": "Access token is invalid",
"status": 401
}{
"code": "forbidden",
"message": "Sorry, you have reached the knowledge base request rate limit of your subscription.",
"status": 403
}{
"code": "knowledge_fs_access_denied",
"message": "Agent Knowledge Base operation is not allowed.",
"status": 403
}{
"code": "knowledge_fs_resource_not_found",
"failure": {
"category": "not_found",
"code": "KNOWLEDGE_FS_NOT_FOUND",
"message": "The requested Agent Knowledge Base resource was not found.",
"retryPolicy": "never",
"traceId": "8f3a2c14-9d6b-4c07-b5a1-2e7d0c93f5b2"
},
"message": "The requested Agent Knowledge Base resource was not found.",
"status": 404
}{
"code": "not_found",
"message": "The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.",
"status": 404
}{
"code": "knowledge_fs_upstream_unavailable",
"failure": {
"action": "contact_admin",
"category": "internal",
"code": "KNOWLEDGE_FS_INTERNAL_ERROR",
"message": "Agent Knowledge Base could not complete the operation. Try again, or contact an administrator with the error reference.",
"retryPolicy": "manual",
"traceId": "5e2a9c17-3b4d-4f60-8a1b-2c3d4e5f6a7b"
},
"message": "Agent Knowledge Base could not complete the operation. Try again, or contact an administrator with the error reference.",
"status": 502
}{
"code": "knowledge_fs_upstream_unavailable",
"message": "Agent Knowledge Base is unavailable.",
"status": 502
}{
"code": "knowledge_fs_operation_unavailable",
"message": "Agent Knowledge Base operation is not available.",
"status": 503
}{
"code": "knowledge_fs_operation_unavailable",
"failure": {
"action": "retry",
"category": "dependency",
"code": "KNOWLEDGE_FS_UNAVAILABLE",
"message": "A service required by Agent Knowledge Base is temporarily unavailable.",
"retryPolicy": "manual",
"traceId": "5e2a9c17-3b4d-4f60-8a1b-2c3d4e5f6a7b"
},
"message": "A service required by Agent Knowledge Base is temporarily unavailable.",
"status": 503
}get/knowledge-fs/spaces/{knowledge_base_id}/research-tasks
Authorization
Path parameters
知识库 ID:即知识库 API 访问 对话框中所示服务 API 端点的最后一段(
…/knowledge-fs/spaces/<knowledge base ID>),也是地址栏中 /datasets/new/ 之后的那一段。Query parameters
Responses
application/json
一页研究任务。
研究任务,最新的在前。每一项都与 获取研究任务 返回的对象相同,不包含回答。
Show child attributesHide child attributes
请求中设置的花费上限,单位为 USD。未设置时为
null。任务到达
completed、failed 或 canceled 的时间,Unix 纪元毫秒。任务运行期间为 null。目前已记录的花费。
Show child attributesHide child attributes
花费超出
budgetUsd 并因此取消任务时为 true,否则不返回此字段。请求中的
budgetUsd。未设置预算时不返回此字段。每次已记录的模型调用对应一项,最早的在前。
Show child attributesHide child attributes
该次调用的花费,单位为 USD。
处理该次调用的模型供应商。
记录该花费的时间,Unix 纪元毫秒。
发起该调用的步骤:
pageindex.layer、pageindex.semantic、pageindex.whole-tree、research.judge、research.plan、graph.plan、query.answer 或 query.image-expand。该次调用的 token 用量:
promptTokens、completionTokens、totalTokens、estimated、reserved、status(reserved、succeeded 或 failed)和 researchModelCallId。仍在进行中的调用所预留的额度也算作一项,并计入 totalUsd。entries[].costUsd 的总和,单位为 USD。记录第一次模型调用之前为 0。任务创建时间,Unix 纪元毫秒。
错误码,与 failure.code 的值相同。仅当 stage 为 failed 时有值,其他情况下为 null,已取消的任务也是如此。
研究任务失败时,failure.code 为以下之一:RESEARCH_TASK_CAPABILITY_REVOKED、RESEARCH_TASK_DISPATCH_DEAD、RESEARCH_TASK_EXECUTION_ATTEMPTS_EXHAUSTED、RESEARCH_TASK_FAILED、RESEARCH_TASK_PERMISSION_SNAPSHOT_INVALID 或 RESEARCH_TASK_RUNTIME_SNAPSHOT_INVALID。
错误详情。仅当 stage 为 failed 时有值,其他情况下为 null。此处没有值的成员为 null。traceId 为任务 ID。
当 action 为 retry 时,使用 创建研究任务 创建新任务。
Show child attributesHide child attributes
建议的下一步操作(如有):
configure_model、configure_parser、configure_source、contact_admin、reupload 或 retry。不适用时为 null。失败类别:
authorization、canceled、configuration、conflict、dependency、internal、not_found、rate_limit、timeout 或 validation。研究任务的错误码,与此任务的
error 一致。任务失败的公开消息。不会暴露提供商的错误详情。
描述失败细节的值,最多 8 个,键取自
attempt、currentRowVersion、documentCount、expectedRowVersion、fileSizeBytes、limit、maxFileSizeBytes、maxItems、modelType、providerKind、retryAfterSeconds 和 status。没有时为 null。重试是否有用:
automatic(服务会自动重试)、manual(需自行重试)、after_configuration(先在 Dify 中修正知识库配置)或 never(需修改请求)。始终为
research。研究任务 ID。联系管理员时提供此 ID。
研究任务 ID。在研究任务的各项操作中用作
research_task_id。知识库的内部 ID,并非路径中的知识库 ID。
创建时发送的
metadata 对象,不含以 __knowledgeFs 开头的键。任务的检索深度:
fast、deep 或 research。存储的研究问题。
原始查询中使用的图片。纯文本查询不返回此字段。
任务在生命周期中所处的阶段。任务每次前进一个阶段:
queued:已受理,等待工作进程处理。planning:正在确定检索计划。retrieving:正在检索知识库,可能会写入检索检查点。analyzing:正在阅读和权衡检索到的分段。generating:正在撰写回答,最终结果在此阶段写入。completed:已完成。可用 获取研究任务结果列表 读取结果。failed:因错误停止。详见error和failure。canceled:因 取消研究任务 或超出预算而停止。paused:任务已暂停。可向部署的运维人员确认失败详情(如有),或取消该任务。
completed、failed 和 canceled 为终态。
检索结果合并并重排序后最多保留的分段数:取请求中的
topK,未传时取知识库的 Top K。任务记录最后更新的时间(Unix 纪元毫秒),包括内部检查点和重试调度产生的更新。
下一页的游标,最后一页时为
null。将其作为 cursor 传回。