Claim this agent
Agent DossierDifySafety 82/100

Xpersona Agent

兰州大学研究生招生万事通

这是一个专为兰州大学研究生招生咨询打造的多智能体(Multi-Agent)协同工作流系统。系统采用“总控+分发”的架构:由总控大脑(GLM-5.1)精准识别用户的提问意图,并无缝分发至对应的垂直领域专家。其中,“招生政策专家”挂载专业的分数线与报考指南知识库,负责严谨、无幻觉地解答报考条件与复试要求;“兰大校情讲解员”挂载丰富的校史与学科优势知识库,负责生动地宣讲兰大现象、师资及平台实力。本模板适用于构建高性能、低幻觉的高校招生智能客服系统。 1. **准备并导入知识库:** - 准备兰州大学的招生简章、复试基本分数线等政策类文档,创建一个名为“招生政策”的知识库。 - 准备兰州大学的校史沿革、学科、院士师资等宣讲类文档,创建一个名为“校情知识”的知识库。 2. **配置知识检索节点:** - 进入“招生政策解答知识检索”节点,关联上面创建的“招生政策”知识库。 - 进入“兰大校情问答知识检索”节点,关联上面创建的“校情知识”知识库。 3. **配置大模型(LLM)节点:** - 为“总控AGENT”、“LLM(招生政策)”和“LLM 2(兰大校情)”节点选择已接入的 GLM-5.1(或同等性能)模型。 4. **优化总控路由指令(重要):** - 在“总控AGENT”的提示词(Prompt)中,严格限制其输出格式。要求其在判断意图后,**必须且只能返回标准的 Markdown JSON 代码块**(例如:{"next_agent": "Agent_1"}),绝对不要

Trust evidence available

Overall rank

#85

Adoption

No public adoption signal

Trust

Unknown

Freshness

Oct 9, 2026

Freshness

Last checked Oct 9, 2026

Best For

兰州大学研究生招生万事通 is best for workflow, knowledge, support workflows where documented compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, Dify, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

这是一个专为兰州大学研究生招生咨询打造的多智能体(Multi-Agent)协同工作流系统。系统采用“总控+分发”的架构:由总控大脑(GLM-5.1)精准识别用户的提问意图,并无缝分发至对应的垂直领域专家。其中,“招生政策专家”挂载专业的分数线与报考指南知识库,负责严谨、无幻觉地解答报考条件与复试要求;“兰大校情讲解员”挂载丰富的校史与学科优势知识库,负责生动地宣讲兰大现象、师资及平台实力。本模板适用于构建高性能、低幻觉的高校招生智能客服系统。 1. **准备并导入知识库:** - 准备兰州大学的招生简章、复试基本分数线等政策类文档,创建一个名为“招生政策”的知识库。 - 准备兰州大学的校史沿革、学科、院士师资等宣讲类文档,创建一个名为“校情知识”的知识库。 2. **配置知识检索节点:** - 进入“招生政策解答知识检索”节点,关联上面创建的“招生政策”知识库。 - 进入“兰大校情问答知识检索”节点,关联上面创建的“校情知识”知识库。 3. **配置大模型(LLM)节点:** - 为“总控AGENT”、“LLM(招生政策)”和“LLM 2(兰大校情)”节点选择已接入的 GLM-5.1(或同等性能)模型。 4. **优化总控路由指令(重要):** - 在“总控AGENT”的提示词(Prompt)中,严格限制其输出格式。要求其在判断意图后,**必须且只能返回标准的 Markdown JSON 代码块**(例如:{"next_agent": "Agent_1"}),绝对不要 Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

Profile only

Freshness

Oct 9, 2026

Vendor

Dify

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Dify

profilemedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Events

Release & Crawl Timeline

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredDify

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

zh-Hans

Editorial read

Docs & README

Docs source

Dify

Editorial quality

ready

这是一个专为兰州大学研究生招生咨询打造的多智能体(Multi-Agent)协同工作流系统。系统采用“总控+分发”的架构:由总控大脑(GLM-5.1)精准识别用户的提问意图,并无缝分发至对应的垂直领域专家。其中,“招生政策专家”挂载专业的分数线与报考指南知识库,负责严谨、无幻觉地解答报考条件与复试要求;“兰大校情讲解员”挂载丰富的校史与学科优势知识库,负责生动地宣讲兰大现象、师资及平台实力。本模板适用于构建高性能、低幻觉的高校招生智能客服系统。 1. **准备并导入知识库:** - 准备兰州大学的招生简章、复试基本分数线等政策类文档,创建一个名为“招生政策”的知识库。 - 准备兰州大学的校史沿革、学科、院士师资等宣讲类文档,创建一个名为“校情知识”的知识库。 2. **配置知识检索节点:** - 进入“招生政策解答知识检索”节点,关联上面创建的“招生政策”知识库。 - 进入“兰大校情问答知识检索”节点,关联上面创建的“校情知识”知识库。 3. **配置大模型(LLM)节点:** - 为“总控AGENT”、“LLM(招生政策)”和“LLM 2(兰大校情)”节点选择已接入的 GLM-5.1(或同等性能)模型。 4. **优化总控路由指令(重要):** - 在“总控AGENT”的提示词(Prompt)中,严格限制其输出格式。要求其在判断意图后,**必须且只能返回标准的 Markdown JSON 代码块**(例如:{"next_agent": "Agent_1"}),绝对不要

Full README
  1. 准备并导入知识库:

    • 准备兰州大学的招生简章、复试基本分数线等政策类文档,创建一个名为“招生政策”的知识库。
    • 准备兰州大学的校史沿革、学科、院士师资等宣讲类文档,创建一个名为“校情知识”的知识库。
  2. 配置知识检索节点:

    • 进入“招生政策解答知识检索”节点,关联上面创建的“招生政策”知识库。
    • 进入“兰大校情问答知识检索”节点,关联上面创建的“校情知识”知识库。
  3. 配置大模型(LLM)节点:

    • 为“总控AGENT”、“LLM(招生政策)”和“LLM 2(兰大校情)”节点选择已接入的 GLM-5.1(或同等性能)模型。
  4. 优化总控路由指令(重要):

    • 在“总控AGENT”的提示词(Prompt)中,严格限制其输出格式。要求其在判断意图后,必须且只能返回标准的 Markdown JSON 代码块(例如:{"next_agent": "Agent_1"}),绝对不要直接用大白话回答用户,以防破坏工作流的数据流向。
  5. 配置输出格式兼容:

    • 确保最后两端的输出节点(“招生信息输出”与“兰大校情输出”)所绑定的 textString 变量,能被前端应用或下游节点要求的格式(如指定的 JSON 结构)正常解析。

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingDify

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/dify-hana/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/dify-hana/contract"
curl -s "https://www.xpersona.co/api/v1/agents/dify-hana/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingDify

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/dify-hana/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/dify-hana/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/dify-hana/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-hana/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-hana/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-hana/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "DIFY_MARKETPLACE",
      "generatedAt": "2026-10-09T03:18:32.607Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "workflow",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "knowledge",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "support",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "marketing",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "tongyi",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "capability:workflow|supported|profile capability:knowledge|supported|profile capability:support|supported|profile capability:marketing|supported|profile capability:tongyi|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Dify",
    "href": "https://marketplace.dify.ai/api/v1/templates/29c0fc1b-5ded-4aca-9ca8-acb05d499758",
    "sourceUrl": "https://marketplace.dify.ai/api/v1/templates/29c0fc1b-5ded-4aca-9ca8-acb05d499758",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:20:55.451Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/dify-hana/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-hana/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

Sponsored

Ads related to 兰州大学研究生招生万事通 and adjacent AI workflows.