diff --git a/.node-red-data/projects/zsy/flows.json b/.node-red-data/projects/zsy/flows.json
index d4d2d31..6c3ae11 100644
--- a/.node-red-data/projects/zsy/flows.json
+++ b/.node-red-data/projects/zsy/flows.json
@@ -2373,7 +2373,7 @@
         "type": "function",
         "z": "78d15f59dee4b6d8",
         "name": "准备llm输入",
-        "func": "'use strict';\n\n/**\n * Node-RED Function 节点脚本：准备大模型 HTTP 请求。\n * 将生成 prompt、HTTP 请求参数，并把上下文写入 msg.llmContext。\n */\n\nconst DEFAULT_API_KEY = 'sk-lbGrsUPL1iby86h554FaE536C343435dAa9bA65967A840B2';\nconst DEFAULT_BASE_URL = 'https://aiproxy.petrotech.cnpc/v1';\nconst DEFAULT_ENDPOINT_PATH = '/chat/completions';\nconst DEFAULT_MODEL = 'deepseek-v3';\n\nfunction prepareLlmRequest(msg, node) {\n    if (!msg.operationId) {\n        msg.operationId = 'createResource';\n    }\n\n    try {\n        const apiDoc = extractOpenApiDocument(msg);\n        const operationCtx = resolveOperationContext(msg, apiDoc);\n\n        if (!operationCtx.operation) {\n            const err = `未找到匹配的接口定义（operationId=${operationCtx.requestedOperationId || '未指定'}, path=${operationCtx.requestedPath || '未指定'}, method=${operationCtx.requestedMethod || '未指定'})`;\n            node.error(err, msg);\n            msg.error = err;\n            return null;\n        }\n\n        const prompt = buildPrompt(operationCtx, apiDoc, msg);\n        const requestPayload = buildRequestPayload(prompt, msg);\n\n        const apiKey = (msg.llm && msg.llm.apiKey) || DEFAULT_API_KEY;\n        const baseUrl = (msg.llm && msg.llm.baseUrl) || DEFAULT_BASE_URL;\n        const endpointPath = (msg.llm && msg.llm.endpoint) || DEFAULT_ENDPOINT_PATH;\n\n        const url = buildUrl(baseUrl, endpointPath);\n        msg.method = 'POST';\n        msg.url = url;\n        msg.headers = Object.assign({}, msg.headers, {\n            'Content-Type': 'application/json',\n            'Authorization': `Bearer ${apiKey}`,\n        });\n        msg.payload = requestPayload;\n        msg.rejectUnauthorized = false;\n\n        msg.llmContext = {\n            prompt,\n            operationCtx,\n            provider: 'dashscope',\n            requestConfig: {\n                baseUrl,\n                endpointPath,\n                model: requestPayload.model,\n                temperature: requestPayload.temperature,\n            },\n        };\n        delete msg.error;\n        return msg;\n    } catch (error) {\n        node.error(`LLM 请求准备失败：${error.message}`, msg);\n        msg.error = error.message;\n        return null;\n    }\n}\n\nfunction extractOpenApiDocument(message) {\n    const candidate =\n        message && message.oas_def ? message.oas_def :\n            message && message.swagger ? message.swagger :\n                message && message.payload ? message.payload :\n                    null;\n\n    if (!candidate) {\n        throw new Error('未提供 OpenAPI 文档（需要 msg.oas_def / msg.swagger / msg.payload）');\n    }\n\n    if (typeof candidate === 'string') {\n        try {\n            return JSON.parse(candidate);\n        } catch (error) {\n            throw new Error(`OpenAPI JSON 解析失败：${error.message}`);\n        }\n    }\n\n    if (typeof candidate !== 'object') {\n        throw new Error('OpenAPI 文档必须是对象或 JSON 字符串');\n    }\n\n    if (!candidate.paths || typeof candidate.paths !== 'object') {\n        throw new Error('OpenAPI 文档缺少 paths 字段');\n    }\n\n    return candidate;\n}\n\nfunction resolveOperationContext(message, apiDoc) {\n    const requestedOperationId =\n        (message && message.operationId) ||\n        (message && message.req && message.req.body && message.req.body.operationId) ||\n        null;\n\n    const requestedPath =\n        (message && message.path) ||\n        (message && message.req && message.req.body && message.req.body.path) ||\n        null;\n\n    const requestedMethodRaw =\n        (message && message.method) ||\n        (message && message.req && message.req.body && message.req.body.method) ||\n        null;\n    const requestedMethod = requestedMethodRaw ? String(requestedMethodRaw).toLowerCase() : null;\n\n    const operations = enumerateOperations(apiDoc);\n\n    let matched = null;\n    if (requestedOperationId) {\n        matched = operations.find(op => op.operation.operationId === requestedOperationId);\n    }\n\n    if (!matched && requestedPath && requestedMethod) {\n        matched = operations.find(op => op.path === requestedPath && op.method === requestedMethod);\n    }\n\n    let autoSelected = false;\n    if (!matched && operations.length > 0) {\n        matched = operations[0];\n        autoSelected = true;\n    }\n\n    return {\n        operation: matched ? matched.operation : undefined,\n        method: matched ? matched.method : undefined,\n        pathItem: matched ? matched.pathItem : undefined,\n        path: matched ? matched.path : undefined,\n        autoSelected,\n        candidates: operations.map(op => ({\n            operationId: op.operation && op.operation.operationId ? op.operation.operationId : '',\n            method: op.method ? op.method.toUpperCase() : '',\n            path: op.path,\n            summary: op.operation && op.operation.summary ? op.operation.summary : '',\n        })),\n        requestedOperationId,\n        requestedPath,\n        requestedMethod,\n    };\n}\n\nfunction enumerateOperations(apiDoc) {\n    const results = [];\n    const validMethods = ['get', 'put', 'post', 'delete', 'patch', 'options', 'head', 'trace'];\n    for (const path of Object.keys(apiDoc.paths || {})) {\n        const pathItem = apiDoc.paths[path];\n        if (!pathItem || typeof pathItem !== 'object') {\n            continue;\n        }\n        for (const method of validMethods) {\n            if (pathItem[method] && typeof pathItem[method] === 'object') {\n                results.push({\n                    path,\n                    method,\n                    operation: pathItem[method],\n                    pathItem,\n                });\n            }\n        }\n    }\n    return results;\n}\n\nfunction buildPrompt(operationCtx, apiDoc, message) {\n    const operation = operationCtx.operation;\n    const method = (operationCtx.method || '').toUpperCase();\n    const path = operationCtx.path || '';\n    const summary = operation.summary || '';\n    const description = operation.description || '';\n\n    const parameters = gatherParameters(operationCtx, apiDoc);\n    const requestBodySchema = gatherRequestBodySchema(operation, apiDoc);\n\n    const userNotes = message && message.prompt ? String(message.prompt) : '';\n    const requiredFields = extractRequiredFields(requestBodySchema, apiDoc);\n    const requiredFieldsText = requiredFields.length > 0\n        ? requiredFields.map(field => `- ${field}`).join('\\n')\n        : '';\n\n    const lines = [];\n    lines.push('你是一名负责生成 HTTP 接口测试参数的助手，请严格输出以下结构的 JSON：');\n    lines.push('{');\n    lines.push('  \"pathParams\": { ... },');\n    lines.push('  \"query\": { ... },');\n    lines.push('  \"headers\": { ... },');\n    lines.push('  \"cookies\": { ... },');\n    lines.push('  \"body\": { ... },');\n    lines.push('  \"notes\": \"...\"');\n    lines.push('}');\n    lines.push('未用到的分区请返回空对象，不要在 JSON 外输出任何文字。');\n    lines.push('');\n    lines.push('body.data[0] 必须遵守：');\n    lines.push('- 覆盖 schema 中声明的全部必填字段，并给出符合字段类型/格式的真实感样例值。');\n    lines.push('- 不得遗漏必填字段；若 schema 内有嵌套对象/数组的必填字段，同样要补齐。');\n    lines.push('- 保持数值、日期、字符串等格式，只在 schema 无提示时使用 \"sample\"、\"2025-01-01\" 等占位值。');\n    if (requiredFieldsText) {\n        lines.push('必填字段清单（必须全部出现在 body.data[0] 中）：');\n        lines.push(requiredFieldsText);\n    }\n    lines.push('');\n    lines.push('若 schema 中存在数组元素或复合结构的必填字段，也要为这些子字段提供值。');\n    lines.push('');\n    lines.push(`Target operation: ${method} ${path}`);\n\n    if (summary) {\n        lines.push(`Summary: ${summary}`);\n    }\n    if (description) {\n        lines.push(`Description: ${description}`);\n    }\n    if (parameters.length > 0) {\n        lines.push('Parameters:');\n        for (const param of parameters) {\n            lines.push(`- [${param.in}] ${param.name}: ${param.type || 'any'}${param.required ? ' (required)' : ''}${param.description ? ` - ${param.description}` : ''}`);\n        }\n    } else {\n        lines.push('Parameters: none defined.');\n    }\n\n    if (requestBodySchema) {\n        lines.push('Request body schema (JSON Schema excerpt):');\n        lines.push(indentSnippet(JSON.stringify(requestBodySchema, null, 2), 2, 900));\n    } else {\n        lines.push('Request body: not defined.');\n    }\n\n    if (userNotes) {\n        lines.push('');\n        lines.push('User notes:');\n        lines.push(userNotes);\n    }\n\n    return lines.join('\\n');\n}\n\nfunction gatherParameters(operationCtx, apiDoc) {\n    const aggregated = [];\n    const seen = new Set();\n\n    const sources = [];\n    if (Array.isArray(operationCtx.pathItem && operationCtx.pathItem.parameters)) {\n        sources.push(operationCtx.pathItem.parameters);\n    }\n    if (Array.isArray(operationCtx.operation.parameters)) {\n        sources.push(operationCtx.operation.parameters);\n    }\n\n    for (const list of sources) {\n        for (const param of list) {\n            if (!param || typeof param !== 'object') {\n                continue;\n            }\n            const resolved = resolveMaybeRef(param, apiDoc);\n            const key = `${resolved.in}:${resolved.name}`;\n            if (!resolved.name || seen.has(key)) {\n                continue;\n            }\n            seen.add(key);\n            aggregated.push({\n                name: resolved.name,\n                in: resolved.in || 'query',\n                required: !!resolved.required,\n                description: resolved.description || '',\n                type: resolved.schema ? inferFriendlyType(resolved.schema, apiDoc) : '',\n            });\n        }\n    }\n\n    return aggregated;\n}\n\nfunction gatherRequestBodySchema(operation, apiDoc) {\n    const requestBody = resolveMaybeRef(operation.requestBody, apiDoc);\n    if (!requestBody || typeof requestBody !== 'object' || !requestBody.content) {\n        return null;\n    }\n\n    const content = requestBody.content;\n    const mediaType = Object.keys(content).find(key => key.includes('json')) || Object.keys(content)[0];\n    if (!mediaType) {\n        return null;\n    }\n\n    const mediaObject = resolveMaybeRef(content[mediaType], apiDoc);\n    if (!mediaObject || typeof mediaObject !== 'object' || !mediaObject.schema) {\n        return null;\n    }\n\n    const schema = resolveMaybeRef(mediaObject.schema, apiDoc);\n    return resolveSchemaDeep(schema, apiDoc);\n}\n\nfunction inferFriendlyType(schema, apiDoc) {\n    if (!schema) {\n        return '';\n    }\n    const resolved = resolveMaybeRef(schema, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return '';\n    }\n\n    if (resolved.type) {\n        if (resolved.type === 'array' && resolved.items) {\n            const itemType = inferFriendlyType(resolved.items, apiDoc) || 'any';\n            return `[${itemType}]`;\n        }\n        return resolved.type;\n    }\n\n    if (resolved.enum && Array.isArray(resolved.enum)) {\n        return `enum(${resolved.enum.slice(0, 3).join(', ')}${resolved.enum.length > 3 ? ', …' : ''})`;\n    }\n\n    if (resolved.properties) {\n        return 'object';\n    }\n\n    return '';\n}\n\nfunction buildRequestPayload(prompt, message) {\n    const systemPrompt = (message.llm && message.llm.systemPrompt) ||\n        'You write JSON only. Focus on realistic values for testing HTTP APIs.';\n\n    const model = (message.llm && message.llm.model) || DEFAULT_MODEL;\n    const temperature = (message.llm && typeof message.llm.temperature === 'number')\n        ? message.llm.temperature : 0.2;\n\n    return {\n        model,\n        temperature,\n        response_format: { type: 'json_object' },\n        messages: [\n            { role: 'system', content: systemPrompt },\n            { role: 'user', content: prompt },\n        ],\n    };\n}\n\nfunction buildUrl(baseUrl, endpointPath) {\n    const normalizedBase = baseUrl.endsWith('/') ? baseUrl : `${baseUrl}/`;\n    const path = endpointPath.startsWith('/') ? endpointPath.slice(1) : endpointPath;\n    return `${normalizedBase}${path}`;\n}\n\nfunction resolveMaybeRef(node, apiDoc) {\n    if (!node || typeof node !== 'object') {\n        return node;\n    }\n    if (!node.$ref) {\n        return node;\n    }\n\n    const resolved = resolveRef(node.$ref, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return node;\n    }\n\n    const remainder = Object.assign({}, node);\n    delete remainder.$ref;\n    return Object.assign({}, clone(resolved), remainder);\n}\n\nfunction resolveRef(ref, apiDoc) {\n    if (typeof ref !== 'string' || !ref.startsWith('#/')) {\n        return null;\n    }\n\n    const tokens = ref.slice(2).split('/').map(unescapeRefToken);\n    let current = apiDoc;\n    for (const token of tokens) {\n        if (current && typeof current === 'object' && Object.prototype.hasOwnProperty.call(current, token)) {\n            current = current[token];\n        } else {\n            return null;\n        }\n    }\n    return current;\n}\n\nfunction unescapeRefToken(token) {\n    return token.replace(/~1/g, '/').replace(/~0/g, '~');\n}\n\nfunction indentSnippet(text, indentLevel, maxLength) {\n    const trimmed = maxLength && text.length > maxLength ? `${text.slice(0, maxLength)}…` : text;\n    const indent = ' '.repeat(indentLevel * 2);\n    return trimmed.split('\\n').map(line => `${indent}${line}`).join('\\n');\n}\n\nfunction clone(value) {\n    return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nfunction extractRequiredFields(schema, apiDoc) {\n    const result = new Set();\n    collectRequiredFields(schema, apiDoc, result, '');\n    return Array.from(result);\n}\n\nfunction collectRequiredFields(schema, apiDoc, result, pathPrefix) {\n    if (!schema || typeof schema !== 'object') {\n        return;\n    }\n\n    if (schema.$ref) {\n        const resolved = resolveRef(schema.$ref, apiDoc);\n        if (!resolved) {\n            return;\n        }\n        collectRequiredFields(resolveSchemaDeep(resolved, apiDoc), apiDoc, result, pathPrefix);\n        return;\n    }\n\n    if (Array.isArray(schema.required) && schema.properties && typeof schema.properties === 'object') {\n        for (const key of schema.required) {\n            const nextPath = pathPrefix ? `${pathPrefix}.${key}` : key;\n            result.add(nextPath);\n            collectRequiredFields(schema.properties[key], apiDoc, result, nextPath);\n        }\n    }\n\n    if (schema.type === 'array' && schema.items) {\n        const nextPrefix = pathPrefix ? `${pathPrefix}[]` : '[]';\n        collectRequiredFields(schema.items, apiDoc, result, nextPrefix);\n    }\n\n    if (schema.allOf && Array.isArray(schema.allOf)) {\n        for (const part of schema.allOf) {\n            collectRequiredFields(part, apiDoc, result, pathPrefix);\n        }\n    }\n}\n\nfunction resolveSchemaDeep(schema, apiDoc, seen = new Set()) {\n    if (!schema || typeof schema !== 'object') {\n        return schema;\n    }\n\n    if (schema.$ref) {\n        const ref = schema.$ref;\n        if (seen.has(ref)) {\n            return {};\n        }\n        seen.add(ref);\n        const resolved = resolveRef(ref, apiDoc);\n        if (!resolved) {\n            return schema;\n        }\n        const merged = Object.assign({}, clone(resolved), clone(schema));\n        delete merged.$ref;\n        return resolveSchemaDeep(merged, apiDoc, seen);\n    }\n\n    const cloned = clone(schema);\n\n    if (cloned.properties && typeof cloned.properties === 'object') {\n        for (const key of Object.keys(cloned.properties)) {\n            cloned.properties[key] = resolveSchemaDeep(cloned.properties[key], apiDoc, new Set(seen));\n        }\n    }\n\n    if (cloned.items) {\n        cloned.items = resolveSchemaDeep(cloned.items, apiDoc, new Set(seen));\n    }\n\n    if (cloned.allOf && Array.isArray(cloned.allOf)) {\n        cloned.allOf = cloned.allOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    if (cloned.oneOf && Array.isArray(cloned.oneOf)) {\n        cloned.oneOf = cloned.oneOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    if (cloned.anyOf && Array.isArray(cloned.anyOf)) {\n        cloned.anyOf = cloned.anyOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    return cloned;\n}\n\nreturn prepareLlmRequest(msg, node);\n",
+        "func": "'use strict';\n\n/**\n * Node-RED Function 节点脚本：准备大模型 HTTP 请求。\n * 将生成 prompt、HTTP 请求参数，并把上下文写入 msg.llmContext。\n */\n\nconst DEFAULT_API_KEY = 'sk-lbGrsUPL1iby86h554FaE536C343435dAa9bA65967A840B2';\nconst DEFAULT_BASE_URL = 'https://aiproxy.petrotech.cnpc/v1';\nconst DEFAULT_ENDPOINT_PATH = '/chat/completions';\nconst DEFAULT_MODEL = 'deepseek-v3';\n\nfunction prepareLlmRequest(msg, node) {\n    if (!msg.operationId) {\n        msg.operationId = 'createResource';\n    }\n\n    try {\n        const apiDoc = extractOpenApiDocument(msg);\n        const operationCtx = resolveOperationContext(msg, apiDoc);\n\n        if (!operationCtx.operation) {\n            const err = `未找到匹配的接口定义（operationId=${operationCtx.requestedOperationId || '未指定'}, path=${operationCtx.requestedPath || '未指定'}, method=${operationCtx.requestedMethod || '未指定'})`;\n            node.error(err, msg);\n            msg.error = err;\n            return null;\n        }\n\n        const prompt = buildPrompt(operationCtx, apiDoc, msg);\n        const requestPayload = buildRequestPayload(prompt, msg);\n\n        const apiKey = (msg.llm && msg.llm.apiKey) || DEFAULT_API_KEY;\n        const baseUrl = (msg.llm && msg.llm.baseUrl) || DEFAULT_BASE_URL;\n        const endpointPath = (msg.llm && msg.llm.endpoint) || DEFAULT_ENDPOINT_PATH;\n\n        const url = buildUrl(baseUrl, endpointPath);\n        msg.method = 'POST';\n        msg.url = url;\n        msg.headers = Object.assign({}, msg.headers, {\n            'Content-Type': 'application/json',\n            'Authorization': `Bearer ${apiKey}`,\n        });\n        msg.payload = requestPayload;\n        msg.rejectUnauthorized = false;\n\n        msg.llmContext = {\n            prompt,\n            operationCtx,\n            provider: 'dashscope',\n            requestConfig: {\n                baseUrl,\n                endpointPath,\n                model: requestPayload.model,\n                temperature: requestPayload.temperature,\n            },\n        };\n        delete msg.error;\n        return msg;\n    } catch (error) {\n        node.error(`LLM 请求准备失败：${error.message}`, msg);\n        msg.error = error.message;\n        return null;\n    }\n}\n\nfunction extractOpenApiDocument(message) {\n    const candidate =\n        message && message.oas_def ? message.oas_def :\n            message && message.swagger ? message.swagger :\n                message && message.payload ? message.payload :\n                    null;\n\n    if (!candidate) {\n        throw new Error('未提供 OpenAPI 文档（需要 msg.oas_def / msg.swagger / msg.payload）');\n    }\n\n    if (typeof candidate === 'string') {\n        try {\n            return JSON.parse(candidate);\n        } catch (error) {\n            throw new Error(`OpenAPI JSON 解析失败：${error.message}`);\n        }\n    }\n\n    if (typeof candidate !== 'object') {\n        throw new Error('OpenAPI 文档必须是对象或 JSON 字符串');\n    }\n\n    if (!candidate.paths || typeof candidate.paths !== 'object') {\n        throw new Error('OpenAPI 文档缺少 paths 字段');\n    }\n\n    return candidate;\n}\n\nfunction resolveOperationContext(message, apiDoc) {\n    const requestedOperationId =\n        (message && message.operationId) ||\n        (message && message.req && message.req.body && message.req.body.operationId) ||\n        null;\n\n    const requestedPath =\n        (message && message.path) ||\n        (message && message.req && message.req.body && message.req.body.path) ||\n        null;\n\n    const requestedMethodRaw =\n        (message && message.method) ||\n        (message && message.req && message.req.body && message.req.body.method) ||\n        null;\n    const requestedMethod = requestedMethodRaw ? String(requestedMethodRaw).toLowerCase() : null;\n\n    const operations = enumerateOperations(apiDoc);\n\n    let matched = null;\n    if (requestedOperationId) {\n        matched = operations.find(op => op.operation.operationId === requestedOperationId);\n    }\n\n    if (!matched && requestedPath && requestedMethod) {\n        matched = operations.find(op => op.path === requestedPath && op.method === requestedMethod);\n    }\n\n    let autoSelected = false;\n    if (!matched && operations.length > 0) {\n        matched = operations[0];\n        autoSelected = true;\n    }\n\n    return {\n        operation: matched ? matched.operation : undefined,\n        method: matched ? matched.method : undefined,\n        pathItem: matched ? matched.pathItem : undefined,\n        path: matched ? matched.path : undefined,\n        autoSelected,\n        candidates: operations.map(op => ({\n            operationId: op.operation && op.operation.operationId ? op.operation.operationId : '',\n            method: op.method ? op.method.toUpperCase() : '',\n            path: op.path,\n            summary: op.operation && op.operation.summary ? op.operation.summary : '',\n        })),\n        requestedOperationId,\n        requestedPath,\n        requestedMethod,\n    };\n}\n\nfunction enumerateOperations(apiDoc) {\n    const results = [];\n    const validMethods = ['get', 'put', 'post', 'delete', 'patch', 'options', 'head', 'trace'];\n    for (const path of Object.keys(apiDoc.paths || {})) {\n        const pathItem = apiDoc.paths[path];\n        if (!pathItem || typeof pathItem !== 'object') {\n            continue;\n        }\n        for (const method of validMethods) {\n            if (pathItem[method] && typeof pathItem[method] === 'object') {\n                results.push({\n                    path,\n                    method,\n                    operation: pathItem[method],\n                    pathItem,\n                });\n            }\n        }\n    }\n    return results;\n}\n\nfunction buildPrompt(operationCtx, apiDoc, message) {\n    const operation = operationCtx.operation;\n    const method = (operationCtx.method || '').toUpperCase();\n    const path = operationCtx.path || '';\n    const summary = operation.summary || '';\n    const description = operation.description || '';\n\n    const parameters = gatherParameters(operationCtx, apiDoc);\n    const requestBodySchema = gatherRequestBodySchema(operation, apiDoc);\n\n    const userNotes = message && message.prompt ? String(message.prompt) : '';\n    const requiredFields = extractRequiredFields(requestBodySchema, apiDoc);\n    const requiredFieldsText = requiredFields.length > 0\n        ? requiredFields.map(field => `- ${field}`).join('\\n')\n        : '';\n\n    const lines = [];\n    lines.push('你是一名负责生成 HTTP 接口测试参数的助手，请严格输出以下结构的 JSON：');\n    lines.push('{');\n    lines.push('  \"pathParams\": { ... },');\n    lines.push('  \"query\": { ... },');\n    lines.push('  \"headers\": { ... },');\n    lines.push('  \"cookies\": { ... },');\n    lines.push('  \"body\": { ... },');\n    lines.push('  \"notes\": \"...\"');\n    lines.push('}');\n    lines.push('未用到的分区请返回空对象，不要在 JSON 外输出任何文字。');\n    lines.push('');\n    lines.push('body.data[0] 必须遵守：');\n    lines.push('- 覆盖 schema 中声明的全部必填字段，并给出符合字段类型/格式的真实感样例值。');\n    lines.push('- 非必填字段也尽可能全覆盖');\n    lines.push('- 不得遗漏必填字段；若 schema 内有嵌套对象/数组的必填字段，同样要补齐。');\n    lines.push('- 保持数值、日期、字符串等格式，只在 schema 无提示时使用 \"sample\"、\"2025-01-01\" 等占位值。');\n    if (requiredFieldsText) {\n        lines.push('必填字段清单（必须全部出现在 body.data[0] 中）：');\n        lines.push(requiredFieldsText);\n    }\n    lines.push('');\n    lines.push('若 schema 中存在数组元素或复合结构的必填字段，也要为这些子字段提供值。');\n    lines.push('');\n    lines.push(`Target operation: ${method} ${path}`);\n\n    if (summary) {\n        lines.push(`Summary: ${summary}`);\n    }\n    if (description) {\n        lines.push(`Description: ${description}`);\n    }\n    if (parameters.length > 0) {\n        lines.push('Parameters:');\n        for (const param of parameters) {\n            lines.push(`- [${param.in}] ${param.name}: ${param.type || 'any'}${param.required ? ' (required)' : ''}${param.description ? ` - ${param.description}` : ''}`);\n        }\n    } else {\n        lines.push('Parameters: none defined.');\n    }\n\n    if (requestBodySchema) {\n        lines.push('Request body schema (JSON Schema excerpt):');\n        lines.push(indentSnippet(JSON.stringify(requestBodySchema, null, 2), 2));\n    } else {\n        lines.push('Request body: not defined.');\n    }\n\n    if (userNotes) {\n        lines.push('');\n        lines.push('User notes:');\n        lines.push(userNotes);\n    }\n\n    return lines.join('\\n');\n}\n\nfunction gatherParameters(operationCtx, apiDoc) {\n    const aggregated = [];\n    const seen = new Set();\n\n    const sources = [];\n    if (Array.isArray(operationCtx.pathItem && operationCtx.pathItem.parameters)) {\n        sources.push(operationCtx.pathItem.parameters);\n    }\n    if (Array.isArray(operationCtx.operation.parameters)) {\n        sources.push(operationCtx.operation.parameters);\n    }\n\n    for (const list of sources) {\n        for (const param of list) {\n            if (!param || typeof param !== 'object') {\n                continue;\n            }\n            const resolved = resolveMaybeRef(param, apiDoc);\n            const key = `${resolved.in}:${resolved.name}`;\n            if (!resolved.name || seen.has(key)) {\n                continue;\n            }\n            seen.add(key);\n            aggregated.push({\n                name: resolved.name,\n                in: resolved.in || 'query',\n                required: !!resolved.required,\n                description: resolved.description || '',\n                type: resolved.schema ? inferFriendlyType(resolved.schema, apiDoc) : '',\n            });\n        }\n    }\n\n    return aggregated;\n}\n\nfunction gatherRequestBodySchema(operation, apiDoc) {\n    const requestBody = resolveMaybeRef(operation.requestBody, apiDoc);\n    if (!requestBody || typeof requestBody !== 'object' || !requestBody.content) {\n        return null;\n    }\n\n    const content = requestBody.content;\n    const mediaType = Object.keys(content).find(key => key.includes('json')) || Object.keys(content)[0];\n    if (!mediaType) {\n        return null;\n    }\n\n    const mediaObject = resolveMaybeRef(content[mediaType], apiDoc);\n    if (!mediaObject || typeof mediaObject !== 'object' || !mediaObject.schema) {\n        return null;\n    }\n\n    const schema = resolveMaybeRef(mediaObject.schema, apiDoc);\n    return resolveSchemaDeep(schema, apiDoc);\n}\n\nfunction inferFriendlyType(schema, apiDoc) {\n    if (!schema) {\n        return '';\n    }\n    const resolved = resolveMaybeRef(schema, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return '';\n    }\n\n    if (resolved.type) {\n        if (resolved.type === 'array' && resolved.items) {\n            const itemType = inferFriendlyType(resolved.items, apiDoc) || 'any';\n            return `[${itemType}]`;\n        }\n        return resolved.type;\n    }\n\n    if (resolved.enum && Array.isArray(resolved.enum)) {\n        return `enum(${resolved.enum.slice(0, 3).join(', ')}${resolved.enum.length > 3 ? ', …' : ''})`;\n    }\n\n    if (resolved.properties) {\n        return 'object';\n    }\n\n    return '';\n}\n\nfunction buildRequestPayload(prompt, message) {\n    const systemPrompt = (message.llm && message.llm.systemPrompt) ||\n        'You write JSON only. Focus on realistic values for testing HTTP APIs.';\n\n    const model = (message.llm && message.llm.model) || DEFAULT_MODEL;\n    const temperature = (message.llm && typeof message.llm.temperature === 'number')\n        ? message.llm.temperature : 0.2;\n\n    return {\n        model,\n        temperature,\n        response_format: { type: 'json_object' },\n        messages: [\n            { role: 'system', content: systemPrompt },\n            { role: 'user', content: prompt },\n        ],\n    };\n}\n\nfunction buildUrl(baseUrl, endpointPath) {\n    const normalizedBase = baseUrl.endsWith('/') ? baseUrl : `${baseUrl}/`;\n    const path = endpointPath.startsWith('/') ? endpointPath.slice(1) : endpointPath;\n    return `${normalizedBase}${path}`;\n}\n\nfunction resolveMaybeRef(node, apiDoc) {\n    if (!node || typeof node !== 'object') {\n        return node;\n    }\n    if (!node.$ref) {\n        return node;\n    }\n\n    const resolved = resolveRef(node.$ref, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return node;\n    }\n\n    const remainder = Object.assign({}, node);\n    delete remainder.$ref;\n    return Object.assign({}, clone(resolved), remainder);\n}\n\nfunction resolveRef(ref, apiDoc) {\n    if (typeof ref !== 'string' || !ref.startsWith('#/')) {\n        return null;\n    }\n\n    const tokens = ref.slice(2).split('/').map(unescapeRefToken);\n    let current = apiDoc;\n    for (const token of tokens) {\n        if (current && typeof current === 'object' && Object.prototype.hasOwnProperty.call(current, token)) {\n            current = current[token];\n        } else {\n            return null;\n        }\n    }\n    return current;\n}\n\nfunction unescapeRefToken(token) {\n    return token.replace(/~1/g, '/').replace(/~0/g, '~');\n}\n\nfunction indentSnippet(text, indentLevel, maxLength) {\n    const trimmed = maxLength && text.length > maxLength ? `${text.slice(0, maxLength)}…` : text;\n    const indent = ' '.repeat(indentLevel * 2);\n    return trimmed.split('\\n').map(line => `${indent}${line}`).join('\\n');\n}\n\nfunction clone(value) {\n    return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nfunction extractRequiredFields(schema, apiDoc) {\n    const result = new Set();\n    collectRequiredFields(schema, apiDoc, result, '');\n    return Array.from(result);\n}\n\nfunction collectRequiredFields(schema, apiDoc, result, pathPrefix) {\n    if (!schema || typeof schema !== 'object') {\n        return;\n    }\n\n    if (schema.$ref) {\n        const resolved = resolveRef(schema.$ref, apiDoc);\n        if (!resolved) {\n            return;\n        }\n        collectRequiredFields(resolveSchemaDeep(resolved, apiDoc), apiDoc, result, pathPrefix);\n        return;\n    }\n\n    if (Array.isArray(schema.required) && schema.properties && typeof schema.properties === 'object') {\n        for (const key of schema.required) {\n            const nextPath = pathPrefix ? `${pathPrefix}.${key}` : key;\n            result.add(nextPath);\n            collectRequiredFields(schema.properties[key], apiDoc, result, nextPath);\n        }\n    }\n\n    if (schema.type === 'array' && schema.items) {\n        const nextPrefix = pathPrefix ? `${pathPrefix}[]` : '[]';\n        collectRequiredFields(schema.items, apiDoc, result, nextPrefix);\n    }\n\n    if (schema.allOf && Array.isArray(schema.allOf)) {\n        for (const part of schema.allOf) {\n            collectRequiredFields(part, apiDoc, result, pathPrefix);\n        }\n    }\n}\n\nfunction resolveSchemaDeep(schema, apiDoc, seen = new Set()) {\n    if (!schema || typeof schema !== 'object') {\n        return schema;\n    }\n\n    if (schema.$ref) {\n        const ref = schema.$ref;\n        if (seen.has(ref)) {\n            return {};\n        }\n        seen.add(ref);\n        const resolved = resolveRef(ref, apiDoc);\n        if (!resolved) {\n            return schema;\n        }\n        const merged = Object.assign({}, clone(resolved), clone(schema));\n        delete merged.$ref;\n        return resolveSchemaDeep(merged, apiDoc, seen);\n    }\n\n    const cloned = clone(schema);\n\n    if (cloned.properties && typeof cloned.properties === 'object') {\n        for (const key of Object.keys(cloned.properties)) {\n            cloned.properties[key] = resolveSchemaDeep(cloned.properties[key], apiDoc, new Set(seen));\n        }\n    }\n\n    if (cloned.items) {\n        cloned.items = resolveSchemaDeep(cloned.items, apiDoc, new Set(seen));\n    }\n\n    if (cloned.allOf && Array.isArray(cloned.allOf)) {\n        cloned.allOf = cloned.allOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    if (cloned.oneOf && Array.isArray(cloned.oneOf)) {\n        cloned.oneOf = cloned.oneOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    if (cloned.anyOf && Array.isArray(cloned.anyOf)) {\n        cloned.anyOf = cloned.anyOf.map(item => resolveSchemaDeep(item, apiDoc, new Set(seen)));\n    }\n\n    return cloned;\n}\n\nreturn prepareLlmRequest(msg, node);\n",
         "outputs": 1,
         "timeout": 0,
         "noerr": 0,