fix(agents): use jsonSchema helper instead of zod for tool inputSchema
zod 4 + AI SDK 6.x 下 tool({ inputSchema: z.object(...) }) 经过
prepareToolsAndToolChoice() 处理后 schema 被错误转换为
{"properties":{}, "additionalProperties":false},所有参数定义被剥光,
导致 LLM 工具调用乱传参/静默失败/死循环。
修复方案:改用 AI SDK 官方 jsonSchema() helper 替代 z.object(),
绕过出 bug 的 zod 转换路径。不动 node_modules,
未来 SDK 升级也不会回归。
改动 9 个文件,全部为 z.object → jsonSchema 替换:
- src/agents/scriptAgent/{tools.ts, index.ts}
- src/agents/productionAgent/{tools.ts, index.ts}
- src/utils/agent/{memory.ts, skillsTools.ts}
- src/routes/script/extractAssets.ts
- src/routes/setting/vendorConfig/modelTest.ts
- src/routes/cornerScape/batchBindAudio.ts
E2E 验证:
- 9 个工具 inputSchema.jsonSchema.properties 字段完整保留
- storySkeleton 子代理收到 get_novel_events([1,2,3,4,5]) 完整章节范围
(之前 schema 损坏时只能盲传 [1],导致死循环)
- 故事骨架 / 改编策略 / 分镜面板等多 sub-agent 不再因 schema 损坏卡死
Related upstream: vercel/ai#13460, vercel/ai#12020
Fixes: HBAI-Ltd/Toonflow-app#80, #94, #121, #122 类似症状
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
parent
4347877c48
commit
8dbcaadfaf
@ -1,6 +1,5 @@
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import { Socket } from "socket.io";
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import { tool } from "ai";
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import { z } from "zod";
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import { tool, jsonSchema } from "ai";
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import u from "@/utils";
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import Memory from "@/utils/agent/memory";
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import { createSkillTools, parseFrontmatter, scanSkills, useSkill } from "@/utils/agent/skillsTools";
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@ -138,8 +137,13 @@ async function createSubAgent(parentCtx: AgentContext) {
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return fullResponse;
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}
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const promptInput = z.object({
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prompt: z.string().describe("交给子Agent的任务简约描述,100字以内"),
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const promptInput = jsonSchema<{ prompt: string }>({
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type: "object",
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properties: {
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prompt: { type: "string", description: "交给子Agent的任务简约描述,100字以内" },
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},
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required: ["prompt"],
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additionalProperties: false,
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});
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const projectInfo = await u.db("o_project").where("id", resTool.data.projectId).first();
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@ -1,4 +1,4 @@
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import { tool, Tool } from "ai";
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import { tool, jsonSchema, Tool } from "ai";
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import { z } from "zod";
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import _ from "lodash";
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import ResTool from "@/socket/resTool";
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@ -52,7 +52,7 @@ export const flowDataSchema = z.object({
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export type FlowData = z.infer<typeof flowDataSchema>;
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const keySchema = z.enum(Object.keys(flowDataSchema.shape) as [keyof FlowData, ...Array<keyof FlowData>]);
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const flowDataKeys = Object.keys(flowDataSchema.shape) as (keyof FlowData)[];
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const flowDataKeyLabels = Object.fromEntries(
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Object.entries(flowDataSchema.shape).map(([key, schema]) => [key, (schema as z.ZodTypeAny).description ?? key]),
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) as Record<keyof FlowData, string>;
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@ -69,8 +69,13 @@ export default (toolCpnfig: ToolConfig) => {
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const tools: Record<string, Tool> = {
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get_flowData: tool({
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description: "获取工作区数据",
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inputSchema: z.object({
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key: keySchema.describe("数据key"),
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inputSchema: jsonSchema<{ key: keyof FlowData }>({
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type: "object",
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properties: {
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key: { type: "string", enum: flowDataKeys as string[], description: "数据key" },
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},
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required: ["key"],
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additionalProperties: false,
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}),
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execute: async ({ key }) => {
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const thinking = msg.thinking(`正在获取${flowDataKeyLabels[key]}工作区数据...`);
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@ -84,18 +89,24 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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add_deriveAsset: tool({
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description: "新增或更新衍生资产",
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inputSchema: z.object({
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assetsId: z.number().describe("关联的资产ID"),
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id: z.preprocess(
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(val) => {
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if (val === "null" || val === "" || val === undefined) return null;
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return val;
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},
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z.number().nullable().describe("衍生资产ID,如果新增则为空")),
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name: z.string().describe("衍生资产名称"),
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desc: z.string().describe("衍生资产描述"),
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inputSchema: jsonSchema<{ assetsId: number; id: number | null; name: string; desc: string }>({
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type: "object",
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properties: {
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assetsId: { type: "number", description: "关联的资产ID" },
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id: { type: ["number", "null"], description: "衍生资产ID,如果新增则为空" },
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name: { type: "string", description: "衍生资产名称" },
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desc: { type: "string", description: "衍生资产描述" },
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},
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required: ["assetsId", "id", "name", "desc"],
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additionalProperties: false,
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}),
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execute: async (deriveAsset) => {
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execute: async (raw) => {
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// 容错:LLM 偶尔传 "null" 字符串或空串,统一规范为 null
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const idRaw = raw.id as unknown;
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const normalizedId =
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idRaw === "null" || idRaw === "" || idRaw === undefined ? null : (idRaw as number | null);
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const deriveAsset = { ...raw, id: normalizedId };
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const thinking = msg.thinking("正在操作资产...");
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const { projectId, scriptId } = resTool.data;
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const startTime = Date.now();
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@ -128,9 +139,14 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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del_deriveAsset: tool({
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description: "删除衍生资产",
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inputSchema: z.object({
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assetsId: z.number().describe("关联的资产ID"),
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id: z.number().describe("衍生资产ID"),
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inputSchema: jsonSchema<{ assetsId: number; id: number }>({
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type: "object",
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properties: {
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assetsId: { type: "number", description: "关联的资产ID" },
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id: { type: "number", description: "衍生资产ID" },
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},
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required: ["assetsId", "id"],
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additionalProperties: false,
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}),
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execute: async ({ assetsId, id }) => {
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const thinking = msg.thinking("正在操作资产...");
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@ -146,8 +162,13 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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generate_deriveAsset: tool({
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description: "生成衍生资产图片",
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inputSchema: z.object({
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ids: z.array(z.number()).describe("需要生成的 衍生资产ID"),
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inputSchema: jsonSchema<{ ids: number[] }>({
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type: "object",
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properties: {
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ids: { type: "array", items: { type: "number" }, description: "需要生成的 衍生资产ID" },
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},
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required: ["ids"],
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additionalProperties: false,
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}),
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execute: async ({ ids }) => {
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const thinking = msg.thinking("正在生成衍生资产...");
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@ -168,8 +189,13 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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generate_storyboard: tool({
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description: "生成分镜图片",
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inputSchema: z.object({
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ids: z.array(z.number()).describe("必须获取真实的分镜ID,支持批量生成"),
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inputSchema: jsonSchema<{ ids: number[] }>({
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type: "object",
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properties: {
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ids: { type: "array", items: { type: "number" }, description: "必须获取真实的分镜ID,支持批量生成" },
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},
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required: ["ids"],
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additionalProperties: false,
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}),
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execute: async ({ ids }) => {
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const thinking = msg.thinking("正在生成分镜...");
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@ -1,6 +1,5 @@
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import { Socket } from "socket.io";
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import { tool } from "ai";
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import { z } from "zod";
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import { tool, jsonSchema } from "ai";
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import u from "@/utils";
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import Memory from "@/utils/agent/memory";
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import useTools from "@/agents/scriptAgent/tools";
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@ -133,8 +132,13 @@ function createSubAgent(parentCtx: AgentContext) {
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return fullResponse;
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}
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const promptInput = z.object({
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prompt: z.string().describe("交给子Agent的任务简约描述,100字以内"),
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const promptInput = jsonSchema<{ prompt: string }>({
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type: "object",
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properties: {
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prompt: { type: "string", description: "交给子Agent的任务简约描述,100字以内" },
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},
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required: ["prompt"],
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additionalProperties: false,
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});
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const run_sub_agent_storySkeleton = tool({
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@ -1,4 +1,4 @@
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import { tool, Tool } from "ai";
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import { tool, jsonSchema, Tool } from "ai";
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import u from "@/utils";
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import { z } from "zod";
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import _ from "lodash";
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@ -16,7 +16,7 @@ export const planData = z.object({
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export type planData = z.infer<typeof planData>;
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const keySchema = z.enum(Object.keys(planData.shape) as [keyof planData, ...Array<keyof planData>]);
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const planDataKeys = Object.keys(planData.shape) as (keyof planData)[];
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const planDataKeyLabels = Object.fromEntries(
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Object.entries(planData.shape).map(([key, schema]) => [key, (schema as z.ZodTypeAny).description ?? key]),
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) as Record<keyof planData, string>;
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@ -33,8 +33,13 @@ export default (toolCpnfig: ToolConfig) => {
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const tools: Record<string, Tool> = {
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get_novel_events: tool({
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description: "获取章节事件",
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inputSchema: z.object({
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chapterIndexs: z.array(z.number()).describe("章节的编号"),
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inputSchema: jsonSchema<{ chapterIndexs: number[] }>({
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type: "object",
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properties: {
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chapterIndexs: { type: "array", items: { type: "number" }, description: "章节的编号" },
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},
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required: ["chapterIndexs"],
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additionalProperties: false,
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}),
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execute: async ({ chapterIndexs }) => {
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console.log("[tools] get_novel_events", chapterIndexs);
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@ -45,7 +50,7 @@ export default (toolCpnfig: ToolConfig) => {
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.select("id", "chapterIndex as index", "reel", "chapter", "chapterData", "event", "eventState")
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.whereIn("chapterIndex", chapterIndexs);
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thinking.appendText("正在查询章节编号: " + chapterIndexs.join(","));
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const eventString = data.map((i: any) => [`第${i.index}章,标题:${i.chapter},事件:${i.event}`].join("\n")).join("\n");
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const eventString = data.map((i: any) => [`第${i.index}章,标题:${i.chapter},事件:${i.event}`].join("\n")).join("\n");
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thinking.appendText("查询结果:\n" + eventString);
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thinking.updateTitle("查询章节事件完成");
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thinking.complete();
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@ -54,8 +59,13 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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get_planData: tool({
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description: "获取工作区数据",
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inputSchema: z.object({
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key: keySchema.describe("数据key"),
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inputSchema: jsonSchema<{ key: keyof planData }>({
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type: "object",
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properties: {
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key: { type: "string", enum: planDataKeys as string[], description: "数据key" },
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},
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required: ["key"],
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additionalProperties: false,
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}),
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execute: async ({ key }) => {
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console.log("[tools] get_planData", key);
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@ -69,8 +79,13 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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get_novel_text: tool({
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description: "获取小说章节原始文本内容",
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inputSchema: z.object({
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chapterIndex: z.string().describe("章节编号"),
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inputSchema: jsonSchema<{ chapterIndex: string }>({
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type: "object",
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properties: {
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chapterIndex: { type: "string", description: "章节编号" },
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},
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required: ["chapterIndex"],
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additionalProperties: false,
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}),
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execute: async ({ chapterIndex }) => {
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console.log("[tools] get_novel_text", "[tools] get_novel_text", chapterIndex);
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@ -85,8 +100,13 @@ export default (toolCpnfig: ToolConfig) => {
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}),
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get_script_content: tool({
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description: "获取剧本本内容",
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inputSchema: z.object({
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ids: z.array(z.string()).describe("脚本id"),
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inputSchema: jsonSchema<{ ids: string[] }>({
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type: "object",
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properties: {
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ids: { type: "array", items: { type: "string" }, description: "脚本id" },
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},
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required: ["ids"],
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additionalProperties: false,
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}),
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execute: async ({ ids }) => {
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console.log("[tools] get_script_content", "[tools] get_script_content", ids);
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@ -3,7 +3,7 @@ import u from "@/utils";
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import { z } from "zod";
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import { success } from "@/lib/responseFormat";
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import { validateFields } from "@/middleware/middleware";
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import { tool } from "ai";
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import { tool, jsonSchema } from "ai";
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const router = express.Router();
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// 获取资产
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@ -30,11 +30,25 @@ export default router.post(
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try {
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const resultTool = tool({
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description: "返回结果时必须调用这个工具",
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inputSchema: z.object({
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result: z.array(z.object({
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id: z.number(),
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audioIds: z.array(z.number()).describe("适配的音频id 无适配内容可以为 空数组")
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})).describe("适配的音色列表,id为资产id,audioIds为适配的音频id 无适配内容可以为 空数组")
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inputSchema: jsonSchema<{ result: { id: number; audioIds: number[] }[] }>({
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type: "object",
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properties: {
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result: {
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type: "array",
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description: "适配的音色列表,id为资产id,audioIds为适配的音频id 无适配内容可以为 空数组",
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items: {
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type: "object",
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properties: {
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id: { type: "number" },
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audioIds: { type: "array", items: { type: "number" }, description: "适配的音频id 无适配内容可以为 空数组" },
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},
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required: ["id", "audioIds"],
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additionalProperties: false,
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},
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},
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},
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required: ["result"],
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additionalProperties: false,
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}),
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execute: async ({ result }) => {
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console.log("[tools] extractAssets result", result);
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@ -4,7 +4,7 @@ import { z } from "zod";
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import { error, success } from "@/lib/responseFormat";
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import { validateFields } from "@/middleware/middleware";
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import { useSkill } from "@/utils/agent/skillsTools";
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import { tool } from "ai";
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import { tool, jsonSchema } from "ai";
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import { o_script } from "@/types/database";
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const router = express.Router();
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@ -188,13 +188,40 @@ export default router.post(
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try {
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const resultTool = tool({
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description: "返回结果时必须调用这个工具",
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inputSchema: z.object({
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newAssets: z
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.array(NewAssetSchema)
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.describe("新发现的资产列表(不在已有资产列表中的),需要完整的 prompt、name、desc、type 和使用该资产的 scriptIds"),
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existingAssetRefs: z
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.array(ExistingAssetRefSchema)
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.describe("已有资产的引用列表(在已有资产列表中已存在的),只需给出资产名称和使用该资产的 scriptIds"),
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inputSchema: jsonSchema<{ newAssets: NewAsset[]; existingAssetRefs: ExistingAssetRef[] }>({
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type: "object",
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properties: {
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newAssets: {
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type: "array",
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description: "新发现的资产列表(不在已有资产列表中的),需要完整的 prompt、name、desc、type 和使用该资产的 scriptIds",
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items: {
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type: "object",
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properties: {
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name: { type: "string", description: "资产名称,仅为名称不做其他任何表述" },
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desc: { type: "string", description: "资产描述" },
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type: { type: "string", enum: ["role", "tool", "scene"], description: "资产类型" },
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scriptIds: { type: "array", items: { type: "number" }, description: "使用该资产的剧本id数组" },
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},
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required: ["name", "desc", "type", "scriptIds"],
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additionalProperties: false,
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},
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},
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existingAssetRefs: {
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type: "array",
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description: "已有资产的引用列表(在已有资产列表中已存在的),只需给出资产名称和使用该资产的 scriptIds",
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items: {
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type: "object",
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properties: {
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name: { type: "string", description: "已有资产的名称,必须与已有资产列表中的名称完全一致" },
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scriptIds: { type: "array", items: { type: "number" }, description: "使用该资产的剧本id数组" },
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},
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required: ["name", "scriptIds"],
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additionalProperties: false,
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},
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},
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},
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required: ["newAssets", "existingAssetRefs"],
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additionalProperties: false,
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}),
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execute: async ({ newAssets, existingAssetRefs }) => {
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@ -3,7 +3,7 @@ import { success, error } from "@/lib/responseFormat";
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import { validateFields } from "@/middleware/middleware";
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import u from "@/utils";
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import { z } from "zod";
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import { tool } from "ai";
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import { tool, jsonSchema } from "ai";
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const router = express.Router();
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// 检查语言模型
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@ -57,8 +57,13 @@ export default router.post(
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const getWeatherTool = tool({
|
||||
description: "Get the weather in a location",
|
||||
inputSchema: z.object({
|
||||
location: z.string().describe("The location to get the weather for"),
|
||||
inputSchema: jsonSchema<{ location: string }>({
|
||||
type: "object",
|
||||
properties: {
|
||||
location: { type: "string", description: "The location to get the weather for" },
|
||||
},
|
||||
required: ["location"],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
execute: async ({ location }) => {
|
||||
return {
|
||||
|
||||
@ -2,8 +2,7 @@ import u from "@/utils";
|
||||
import { v4 as uuidv4 } from "uuid";
|
||||
import { getEmbedding, cosineSimilarity } from "./embedding";
|
||||
import type { memories as MemoryRow } from "@/types/database";
|
||||
import { tool } from "ai";
|
||||
import { z } from "zod";
|
||||
import { tool, jsonSchema } from "ai";
|
||||
|
||||
// ── 可调配置默认值 ──
|
||||
const DEFAULTS: {
|
||||
@ -201,8 +200,13 @@ class Memory {
|
||||
return {
|
||||
deepRetrieve: tool({
|
||||
description: "深度检索记忆:当你需要回忆与某个关键词相关的详细历史信息时使用此工具",
|
||||
inputSchema: z.object({
|
||||
keyword: z.string().describe("要检索的关键词"),
|
||||
inputSchema: jsonSchema<{ keyword: string }>({
|
||||
type: "object",
|
||||
properties: {
|
||||
keyword: { type: "string", description: "要检索的关键词" },
|
||||
},
|
||||
required: ["keyword"],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
execute: async ({ keyword }) => {
|
||||
const results = await this.deepRetrieve(keyword);
|
||||
|
||||
@ -1,5 +1,4 @@
|
||||
import { tool } from "ai";
|
||||
import { z } from "zod";
|
||||
import { tool, jsonSchema } from "ai";
|
||||
import path from "path";
|
||||
import isPathInside from "is-path-inside";
|
||||
import getPath from "@/utils/getPath";
|
||||
@ -185,8 +184,13 @@ export function createSkillTools(skills: { name: string; description: string }[]
|
||||
return {
|
||||
activate_skill: tool({
|
||||
description: `激活一个技能,加载其完整指令和捆绑资源列表到上下文。可用技能:${skillNames.join(", ")}`,
|
||||
inputSchema: z.object({
|
||||
name: z.enum(skillNames as [string, ...string[]]).describe("要激活的技能名称"),
|
||||
inputSchema: jsonSchema<{ name: string }>({
|
||||
type: "object",
|
||||
properties: {
|
||||
name: { type: "string", enum: skillNames, description: "要激活的技能名称" },
|
||||
},
|
||||
required: ["name"],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
execute: async ({ name }) => {
|
||||
if (activated.has(name)) {
|
||||
@ -222,8 +226,13 @@ export function createSkillTools(skills: { name: string; description: string }[]
|
||||
}),
|
||||
read_skill_file: tool({
|
||||
description: "读取已激活技能目录下的资源文件。传入 activate_skill 返回的 skill_resources 中的文件路径。",
|
||||
inputSchema: z.object({
|
||||
filePath: z.string().describe("资源文件的相对路径,来自 activate_skill 返回的 skill_resources"),
|
||||
inputSchema: jsonSchema<{ filePath: string }>({
|
||||
type: "object",
|
||||
properties: {
|
||||
filePath: { type: "string", description: "资源文件的相对路径,来自 activate_skill 返回的 skill_resources" },
|
||||
},
|
||||
required: ["filePath"],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
execute: async ({ filePath }) => {
|
||||
const normalizedInputPath = toUnixPath(filePath).trim();
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user