Xpersona Agent
客户评价处理工作流
使用 LLM 分类客户的评价,将评价传到内部系统。 1. 从插件市场安装 OpenAI 插件。 2. 在 Dify 中授权 OpenAI:前往 工具 → OpenAI → 授权,并输入您的 API 密钥。 3. 在 **开始** 节点中,用户输入待分析的客户评价文本。 4. 在第一个 **问题分类器** 节点中选择一个 LLM,将评价分为"好评(Positive review)"和"差评(Negative review)"两类。 5. 好评分支的 **HTTP 请求** 节点:将目标 URL 替换为您公司的品牌营销部门系统地址,以便将好评转发至该系统。 6. 在第二个 **问题分类器** 节点中选择一个 LLM,将差评进一步细分为"售后问题(After-sales issues)"和"物流问题(Transportation issue)"。 7. 两个差评分支的 **HTTP 请求** 节点:分别将目标 URL 替换为公司售后部门和物流部门的系统地址,以便将相应差评转发至对应系统
Overall rank
#88
Adoption
No public adoption signal
Trust
Unknown
Freshness
Jun 1, 2026
Freshness
Last checked Jun 1, 2026
Best For
客户评价处理工作流 is best for workflow, support, openai 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
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Executive Summary
使用 LLM 分类客户的评价,将评价传到内部系统。 1. 从插件市场安装 OpenAI 插件。 2. 在 Dify 中授权 OpenAI:前往 工具 → OpenAI → 授权,并输入您的 API 密钥。 3. 在 **开始** 节点中,用户输入待分析的客户评价文本。 4. 在第一个 **问题分类器** 节点中选择一个 LLM,将评价分为"好评(Positive review)"和"差评(Negative review)"两类。 5. 好评分支的 **HTTP 请求** 节点:将目标 URL 替换为您公司的品牌营销部门系统地址,以便将好评转发至该系统。 6. 在第二个 **问题分类器** 节点中选择一个 LLM,将差评进一步细分为"售后问题(After-sales issues)"和"物流问题(Transportation issue)"。 7. 两个差评分支的 **HTTP 请求** 节点:分别将目标 URL 替换为公司售后部门和物流部门的系统地址,以便将相应差评转发至对应系统 Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.
Trust score
Unknown
Compatibility
Profile only
Freshness
Jun 1, 2026
Vendor
Dify
Artifacts
0
Benchmarks
0
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Unpublished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
Evidence & Timeline
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Evidence Ledger
Vendor (1)
Vendor
Dify
Security (1)
Handshake status
UNKNOWN
Events
Release & Crawl Timeline
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Self-declaredDify
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Artifacts Archive
Extracted files
0
Examples
0
Snippets
0
Languages
zh-Hans
Editorial read
Docs & README
Docs source
Dify
Editorial quality
ready
使用 LLM 分类客户的评价,将评价传到内部系统。 1. 从插件市场安装 OpenAI 插件。 2. 在 Dify 中授权 OpenAI:前往 工具 → OpenAI → 授权,并输入您的 API 密钥。 3. 在 **开始** 节点中,用户输入待分析的客户评价文本。 4. 在第一个 **问题分类器** 节点中选择一个 LLM,将评价分为"好评(Positive review)"和"差评(Negative review)"两类。 5. 好评分支的 **HTTP 请求** 节点:将目标 URL 替换为您公司的品牌营销部门系统地址,以便将好评转发至该系统。 6. 在第二个 **问题分类器** 节点中选择一个 LLM,将差评进一步细分为"售后问题(After-sales issues)"和"物流问题(Transportation issue)"。 7. 两个差评分支的 **HTTP 请求** 节点:分别将目标 URL 替换为公司售后部门和物流部门的系统地址,以便将相应差评转发至对应系统
Full README
- 从插件市场安装 OpenAI 插件。
- 在 Dify 中授权 OpenAI:前往 工具 → OpenAI → 授权,并输入您的 API 密钥。
- 在 开始 节点中,用户输入待分析的客户评价文本。
- 在第一个 问题分类器 节点中选择一个 LLM,将评价分为"好评(Positive review)"和"差评(Negative review)"两类。
- 好评分支的 HTTP 请求 节点:将目标 URL 替换为您公司的品牌营销部门系统地址,以便将好评转发至该系统。
- 在第二个 问题分类器 节点中选择一个 LLM,将差评进一步细分为"售后问题(After-sales issues)"和"物流问题(Transportation issue)"。
- 两个差评分支的 HTTP 请求 节点:分别将目标 URL 替换为公司售后部门和物流部门的系统地址,以便将相应差评转发至对应系统。
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
MissingDify
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract & API
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/contract"
curl -s "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/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
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
MissingDify
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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-langgenius-7/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-langgenius-7/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-langgenius-7/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-langgenius-7/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": []
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "DIFY_MARKETPLACE",
"generatedAt": "2026-10-08T22:17:28.854Z"
}
},
"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": "openai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "capability:workflow|supported|profile capability:support|supported|profile capability:openai|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"label": "Vendor",
"value": "Dify",
"category": "vendor",
"href": "https://affiliate.dify.ai/06p00xtpqqwy-e8lw08?tid=256f9e48-0393-4efa-94a3-4e9e9e9f1b79",
"sourceUrl": "https://affiliate.dify.ai/06p00xtpqqwy-e8lw08?tid=256f9e48-0393-4efa-94a3-4e9e9e9f1b79",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-30T06:40:26.229Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-7/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
