How should 发票审核工作流 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierDifySafety 82/100

Xpersona Agent

发票审核工作流

发票审核工作流是一套自动化发票审核工作流，可同时处理图片格式与 PDF 格式的发票。它借助阿里云通义系列多模态大语言模型，从发票中提取结构化数据，再通过基于规则的 Python 审核引擎对每张发票进行合规校验，最终以清晰的 Markdown 表格形式输出审核结果，将通过与未通过的发票分类呈现。 **1. 安装通义插件** 前往**插件市场**，搜索并安装**通义**插件（langgenius/tongyi）。随后进入**设置 → 模型供应商**，填写您的阿里云 API Key，以激活本工作流所需的以下两个模型： - qwen-vl-plus — 多模态视觉模型，用于识别**图片格式发票** - qvq-max-latest — 推理模型，用于提取**PDF 格式发票**中的结构化数据 **2. 配置开始节点** 开始节点接收一个名为 files 的文件列表输入变量，请确保以下上传配置已正确设置： - **支持的文件类型：** 图片（.JPG、.JPEG、.PNG、.GIF、.WEBP、.SVG）及文档（PDF） - **上传方式：** 本地文件上传与远程 URL - 该输入变量将同时为图片处理流水线与 PDF 处理流水线提供数据 **3. 了解双流水线架构** 工作流在开始节点之后立即分为两条并行处理分支： - **图

Trust evidence available

View on Dify

Overall rank

#89

Adoption

No public adoption signal

Trust

Unknown

Freshness

Oct 9, 2026

Freshness

Last checked Oct 9, 2026

Best For

发票审核工作流 is best for workflow, support, tongyi 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 Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

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

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

Profile only

Freshness

Oct 9, 2026

Vendor

Dify

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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 link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

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

Examples

Snippets

Languages

zh-Hans

Editorial read

Docs & README

Docs source

Dify

Editorial quality

ready

Full README

1. 安装通义插件

前往插件市场，搜索并安装通义插件（langgenius/tongyi）。随后进入设置 → 模型供应商，填写您的阿里云 API Key，以激活本工作流所需的以下两个模型：

qwen-vl-plus — 多模态视觉模型，用于识别图片格式发票
qvq-max-latest — 推理模型，用于提取PDF 格式发票中的结构化数据

2. 配置开始节点

开始节点接收一个名为 files 的文件列表输入变量，请确保以下上传配置已正确设置：

支持的文件类型： 图片（.JPG、.JPEG、.PNG、.GIF、.WEBP、.SVG）及文档（PDF）
上传方式： 本地文件上传与远程 URL
该输入变量将同时为图片处理流水线与 PDF 处理流水线提供数据

3. 了解双流水线架构

工作流在开始节点之后立即分为两条并行处理分支：

图片流水线： 列表操作（筛选图片）→ 迭代（迭代识别图片）→ LLM 视觉识别（qwen-vl-plus）
PDF 流水线： 列表操作（筛选 PDF）→ 迭代（迭代识别 PDF）→ 文档提取器 → LLM 结构化提取（qvq-max-latest）

两条流水线均从每张发票中提取以下 8 个结构化字段：

| 字段 | 说明 | |---|---| | file_name | 文件名称 | | file_type | 文件类型 | | payer_name | 购买方公司名称 | | taxpayer_num | 统一社会信用代码 / 纳税人识别号 | | project_name | 项目名称（提取 * 包裹的内容） | | invoicing_date | 开票日期（YYYY-MM-DD 格式） | | tax_num | 发票号码 | | total_price | 价税合计金额（小写数字，不含货币符号） |

4. 自定义审核规则（重要）

机器审核代码节点中包含硬编码的 Python 业务校验规则，在正式上线前，您必须将其替换为贵公司的实际审核要求：

payer_name — 当前校验值为 北京字节多多科技有限责任公司，请替换为您的公司名称。
taxpayer_num — 当前校验值为 91110112MA01P0AAXL，请替换为您公司的统一社会信用代码。
project_name — 当前仅接受 住宿服务、咨询服务、餐饮服务，请按实际允许的费用类别进行更新。
invoicing_date — 当前拒绝 2025 年以前的发票，请根据实际需求调整年份阈值。
tax_num — 当前通过白名单方式校验两个特定发票号码，请替换为您自己的校验逻辑。

5. 确认输出格式

最终的输出为表格代码节点将生成一份 Markdown 审核报告，包含以下两个部分：

✅ 通过审核的发票 — 审核通过的发票（不含 is_ok 与 reason 字段）
❌ 未通过审核的发票 — 审核未通过的发票（保留 reason 字段，说明未通过原因）

如无特殊需求，此节点无需修改；如需自定义表格格式或输出语言，可按需调整代码。

6. 测试并发布

点击预览，上传一批测试发票（包含图片与 PDF 混合格式），验证以下内容：

两条流水线均能正确提取所有 8 个结构化字段
审核规则能够准确标记不合规发票，并给出相应的不通过原因
输出的 Markdown 表格渲染正常

确认无误后，点击发布，即可获取 WebApp 链接或 API 接口，供后续系统集成使用。

API & Reliability

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

MissingDify

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-lyy/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/dify-lyy/contract"

curl -s "https://www.xpersona.co/api/v1/agents/dify-lyy/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-lyy/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/dify-lyy/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/dify-lyy/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-lyy/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-lyy/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-lyy/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "DIFY_MARKETPLACE",
      "generatedAt": "2026-10-09T03:18:07.208Z"
    }
  },
  "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": "support",
      "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:support|supported|profile capability:tongyi|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Dify",
    "href": "https://marketplace.dify.ai/api/v1/templates/d3446581-8a4c-4731-b570-bfd57ecd1dc0",
    "sourceUrl": "https://marketplace.dify.ai/api/v1/templates/d3446581-8a4c-4731-b570-bfd57ecd1dc0",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:20:58.015Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/dify-lyy/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-lyy/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix