{"id":"075fd070-e4d6-457e-8e3d-a39e3f2488b6","entityType":"agent","slug":"dify-liminhe","name":"旅行策划","canonicalUrl":"https://www.xpersona.co/agent/dify-liminhe","canonicalPath":"/agent/dify-liminhe","generatedAt":"2026-10-09T06:08:47.649Z","source":"DIFY_MARKETPLACE","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":null},"description":"旅行与费用管家 是一款专为团体旅行、情侣出游及家庭度假打造的全能智能助手。它彻底解决了旅行中最令人头疼的痛点：费用记录混乱、分账计算不准确、行程安排一团糟。 借助严格的零误差数学推理协议与多模态视觉能力，这款助手不仅仅是一个聊天机器人——它更是一位专业、细致的旅行财务管家。它能保证100%准确的AA制分账计算，并以最少的转账次数完成结算。 第一步：模型选择与参数微调 为确保数学与推理的最高精度，建议选择具备强逻辑推理能力的模型。 - -推荐模型： 选择 gemini-2.5-flash（因其快速推理与思考能力强烈推荐）或 gpt-4o-mini。 关键参数调整： - 温度（Temperature）： 必须设置为 0（最高不超过 0.1）。此设置可关闭模型的\"创造性\"，使其作为严格、精确的计算器运行。 - 最大令牌数（Max Tokens）： 至少设置为 4096，以应对较长的费用清单。 第二步：系统提示词配置 将双语系统提示词粘贴到您 LLM 节点的 SYSTEM 区块中。该提示词将强制执行严格的九步数学协议，并自动识别用户语言。 第三步：开启记忆与多模态视觉 为使应用完整运行，请在 Dify 的编排界面中配置以下功能： - 开启记忆： 将窗口大小（Window Size）设置为 10 或更高，确保 AI 在长对话过程中能记住之前的费用记录与行程日志。 - 开启文","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.","installCommand":null,"sourceUrl":"https://marketplace.dify.ai/api/v1/templates/12a8b3f6-6092-4409-944a-dc898cfd396d","homepage":null,"primaryLinks":[{"label":"View on Dify","url":"https://marketplace.dify.ai/api/v1/templates/12a8b3f6-6092-4409-944a-dc898cfd396d","kind":"source"}],"safetyScore":82,"overallRank":84.9,"popularityScore":82,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"旅行与费用管家 是一款专为团体旅行、情侣出游及家庭度假打造的全能智能助手。它彻底解决了旅行中最令人头疼的痛点：费用记录混乱、分账计算不准确、行程安排一团糟。 借助严格的零误差数学推理协议与多模态视觉能力，这款助手不仅仅是一个聊天机器人——它更是一位专业、细致的旅行财务管家。它能保证100%准确的AA制分账计算，并以最少"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":null},"protocols":[],"capabilities":[{"label":"workflow","status":"self-declared"},{"label":"support","status":"self-declared"},{"label":"gemini","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"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":"gemini","type":"capability","support":"supported","confidenceSource":"profile","notes":"Declared in agent profile metadata"}],"flattenedTokens":"capability:workflow|supported|profile capability:support|supported|profile capability:gemini|supported|profile"}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":"No source adoption metrics were available."},"stars":null,"forks":null,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-10-09T01:20:55.147Z","emptyReason":null},"lastUpdatedAt":"2026-10-09T01:20:55.151Z","lastCrawledAt":"2026-10-09T01:20:55.147Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-11T01:20:55.147Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"Dify","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":null,"setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","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."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/dify-liminhe/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/dify-liminhe/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/dify-liminhe/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":[]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"DIFY_MARKETPLACE","generatedAt":"2026-10-09T06:08:47.649Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/dify-liminhe/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"Dify","verified":false,"confidence":"high","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":null},"readme":"第一步：模型选择与参数微调\n为确保数学与推理的最高精度，建议选择具备强逻辑推理能力的模型。\n- -推荐模型： 选择 gemini-2.5-flash（因其快速推理与思考能力强烈推荐）或 gpt-4o-mini。\n关键参数调整：\n- 温度（Temperature）： 必须设置为 0（最高不超过 0.1）。此设置可关闭模型的\"创造性\"，使其作为严格、精确的计算器运行。\n- 最大令牌数（Max Tokens）： 至少设置为 4096，以应对较长的费用清单。\n\n第二步：系统提示词配置\n将双语系统提示词粘贴到您 LLM 节点的 SYSTEM 区块中。该提示词将强制执行严格的九步数学协议，并自动识别用户语言。\n\n第三步：开启记忆与多模态视觉\n为使应用完整运行，请在 Dify 的编排界面中配置以下功能：\n- 开启记忆： 将窗口大小（Window Size）设置为 10 或更高，确保 AI 在长对话过程中能记住之前的费用记录与行程日志。\n- 开启文件上传（视觉功能）：\n  - 进入功能（Features）（Dify 右上角）。\n  - 开启文件上传，并确保勾选**图片（Image）**选项，允许用户上传收据及风景照片。\n\n第四步：发布与部署\n- 作为网页应用： 点击发布 → 运行应用，获取可分享给朋友的链接。\n- 接入群聊（微信 / 飞书）： 在 Dify 中生成 API 密钥，并配合 dify-on-wechat 等开源工具，让机器人在您的微信群中 24 小时全天候运行。","readmeExcerpt":"第一步：模型选择与参数微调 为确保数学与推理的最高精度，建议选择具备强逻辑推理能力的模型。 - -推荐模型： 选择 gemini-2.5-flash（因其快速推理与思考能力强烈推荐）或 gpt-4o-mini。 关键参数调整： - 温度（Temperature）： 必须设置为 0（最高不超过 0.1）。此设置可关闭模型的\"创造性\"，使其作为严格、精确的计算器运行。 - 最大令牌数（Max Tokens）： 至少设置为 4096，以应对较长的费用清单。 第二步：系统提示词配置 将双语系统提示词粘贴到您 LLM 节点的 SYSTEM 区块中。该提示词将强制执行严格的九步数学协议，并自动识别用户语言。 第三步：开启记忆与多模态视觉 为使应用完整运行，请在 Dify 的编排界面中配置以下功能： - 开启记忆： 将窗口大小（Window Size）设置为 10 或更高，确保 AI 在长对话过程中能记住之前的费用记录与行程日志。 - 开启文","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["zh-Hans"],"docsSourceLabel":"Dify","editorialOverview":"旅行与费用管家 是一款专为团体旅行、情侣出游及家庭度假打造的全能智能助手。它彻底解决了旅行中最令人头疼的痛点：费用记录混乱、分账计算不准确、行程安排一团糟。 借助严格的零误差数学推理协议与多模态视觉能力，这款助手不仅仅是一个聊天机器人——它更是一位专业、细致的旅行财务管家。它能保证100%准确的AA制分账计算，并以最少的转账次数完成结算。 第一步：模型选择与参数微调 为确保数学与推理的最高精度，建议选择具备强逻辑推理能力的模型。 - -推荐模型： 选择 gemini-2.5-flash（因其快速推理与思考能力强烈推荐）或 gpt-4o-mini。 关键参数调整： - 温度（Temperature）： 必须设置为 0（最高不超过 0.1）。此设置可关闭模型的\"创造性\"，使其作为严格、精确的计算器运行。 - 最大令牌数（Max Tokens）： 至少设置为 4096，以应对较长的费用清单。 第二步：系统提示词配置 将双语系统提示词粘贴到您 LLM 节点的 SYSTEM 区块中。该提示词将强制执行严格的九步数学协议，并自动识别用户语言。 第三步：开启记忆与多模态视觉 为使应用完整运行，请在 Dify 的编排界面中配置以下功能： - 开启记忆： 将窗口大小（Window Size）设置为 10 或更高，确保 AI 在长对话过程中能记住之前的费用记录与行程日志。 - 开启文","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":308,"uniquenessScore":73,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T01:20:55.151Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"agent-directory","verified":false,"confidence":"low","updatedAt":"2026-10-09T06:08:47.649Z","emptyReason":"No close protocol neighbors were found."},"items":[],"links":{"hub":"/agent","source":"/agent/source/dify_marketplace","protocols":[]}}}