feat: initialize experimental agent repo
This commit is contained in:
@@ -0,0 +1,94 @@
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import { tool } from "@opencode-ai/plugin";
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export default tool({
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description:
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"在前端地图上对节点或管道图层应用样式,或重置为默认样式。样式参数应尽量与前端样式编辑器字段保持一致。",
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args: {
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reason: tool.schema
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.string()
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.describe(
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"Why this style action is needed for the current user request.",
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),
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layer_id: tool.schema
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.enum(["junctions", "pipes"])
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.describe("Target layer id. Must be exactly 'junctions' or 'pipes'."),
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reset_to_default: tool.schema
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.boolean()
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.optional()
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.describe("Whether to reset the target layer to its default style."),
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style_config: tool.schema
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.object({
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property: tool.schema
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.string()
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.optional()
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.describe("Data property to render."),
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classification_method: tool.schema
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.enum(["pretty_breaks", "custom_breaks"])
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.optional()
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.describe("Classification method."),
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segments: tool.schema
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.number()
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.optional()
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.describe("Number of segments."),
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min_size: tool.schema
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.number()
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.optional()
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.describe("Minimum point radius."),
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max_size: tool.schema
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.number()
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.optional()
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.describe("Maximum point radius."),
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min_stroke_width: tool.schema
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.number()
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.optional()
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.describe("Minimum line width."),
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max_stroke_width: tool.schema
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.number()
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.optional()
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.describe("Maximum line width."),
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fixed_stroke_width: tool.schema
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.number()
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.optional()
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.describe("Fixed line width when width is not data-driven."),
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color_type: tool.schema
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.enum(["single", "gradient", "rainbow", "custom"])
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.optional()
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.describe("Color strategy."),
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single_palette_index: tool.schema.number().optional(),
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gradient_palette_index: tool.schema.number().optional(),
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rainbow_palette_index: tool.schema.number().optional(),
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show_labels: tool.schema
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.boolean()
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.optional()
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.describe("Whether to show labels."),
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show_id: tool.schema
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.boolean()
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.optional()
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.describe("Whether to show ids."),
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opacity: tool.schema.number().optional().describe("Opacity in [0, 1]."),
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adjust_width_by_property: tool.schema
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.boolean()
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.optional()
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.describe("Whether line width is driven by the rendered property."),
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custom_breaks: tool.schema
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.array(tool.schema.number())
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.optional()
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.describe("Custom break values."),
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custom_colors: tool.schema
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.array(tool.schema.string())
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.optional()
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.describe("Custom rgba colors."),
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})
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.optional()
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.describe(
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"Optional style config overrides. Omit when reset_to_default is true.",
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),
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},
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async execute(args) {
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const layerLabel = args.layer_id === "junctions" ? "节点" : "管道";
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if (args.reset_to_default) {
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return `已将${layerLabel}图层重置为默认样式。`;
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}
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return `已对${layerLabel}图层应用样式。`;
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},
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});
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@@ -0,0 +1,37 @@
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import { tool } from "@opencode-ai/plugin";
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const internalBaseUrl =
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process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
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const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
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export default tool({
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description:
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"调用 TJWater 后端的天地图地理编码服务,将中国境内结构化地址或地点名称转换为经纬度。若需缩放地图,把返回的 location.lon/location.lat 传给 zoom_to_map,并设置 source_crs='EPSG:4326'。",
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args: {
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reason: tool.schema
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.string()
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.describe("Why geocoding is required for the current user request."),
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keyword: tool.schema
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.string()
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.describe("Address or place name to geocode, such as 北京市人民政府."),
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},
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async execute(args, context) {
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const response = await fetch(`${internalBaseUrl}/internal/tools/geocode`, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-agent-internal-token": internalToken,
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},
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body: JSON.stringify({
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session_id: context.sessionID,
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keyword: args.keyword,
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}),
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});
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const text = await response.text();
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if (!response.ok) {
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throw new Error(text);
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}
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return text;
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},
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});
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@@ -0,0 +1,22 @@
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import { tool } from "@opencode-ai/plugin";
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export default tool({
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description: "在前端地图上定位并高亮指定的管网要素。",
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args: {
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reason: tool.schema
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.string()
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.describe(
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"Why this map positioning action is needed for the user request.",
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),
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ids: tool.schema
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.array(tool.schema.string())
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.describe("Feature ids to locate."),
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feature_type: tool.schema
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.enum(["junction", "pipe", "valve", "reservoir", "pump", "tank"])
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.describe("Type of feature to locate."),
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},
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async execute() {
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// 前端工具只负责生成 tool part,真正的地图动作由 Agent SSE 适配层转发给浏览器执行。
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return "已在地图上定位到指定要素。";
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},
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});
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@@ -0,0 +1,155 @@
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import { tool } from "@opencode-ai/plugin";
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import { MemoryStore } from "../../src/memory/store.js";
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import {
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getRuntimeSessionContext,
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setRuntimeSessionContext,
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} from "../../src/runtime/sessionContext.js";
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const memoryStore = new MemoryStore();
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const initializePromise = memoryStore.initialize();
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export default tool({
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description:
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"管理长期有效的用户偏好或项目事实。支持 add/list/replace/remove。add 前必须先对同 scope 执行 list 并阅读现有记忆,再决定 add、replace 或 remove;不要跳过读取直接新增。禁止写入 token、password、secret、system prompt 或一次性上下文。scope 仅允许 'user' 或 'workspace'。",
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args: {
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action: tool.schema
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.enum(["add", "list", "replace", "remove"])
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.describe("Memory operation to perform."),
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reason: tool.schema
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.string()
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.describe("Why this memory should be persisted for future requests."),
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scope: tool.schema
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.string()
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.describe(
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"Required exact keyword. Use only 'user' for user-level durable preferences/constraints, or 'workspace' for project/environment durable facts. Do not use 'project', Chinese labels, or any alias.",
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),
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content: tool.schema
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.string()
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.optional()
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.describe(
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"The durable fact or preference to remember, written as one concise sentence.",
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),
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target_id: tool.schema
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.string()
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.optional()
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.describe("Stable memory entry id used by replace/remove."),
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},
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async execute(args, context) {
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await initializePromise;
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const sessionContext = getRuntimeSessionContext(context.sessionID);
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if (!sessionContext) {
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throw new Error(`session context not found for ${context.sessionID}`);
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}
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const scope =
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args.scope === "user"
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? "user"
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: args.scope === "workspace"
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? "workspace"
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: null;
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if (!scope) {
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: "rejected",
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detail: `unsupported scope: ${args.scope}; use exact keyword 'user' or 'workspace'`,
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});
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}
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if (sessionContext.allowLearningWrite === false && args.action !== "list") {
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: "rejected",
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detail: "memory writes are disabled for this session",
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});
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}
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const scopeKey =
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scope === "user" ? sessionContext.actorKey : sessionContext.projectKey;
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if (args.action === "list") {
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const readScopes = {
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...(sessionContext.memoryListReadScopes ?? {}),
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[scope]: true,
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};
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setRuntimeSessionContext({
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...sessionContext,
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memoryListReadScopes: readScopes,
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});
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: "accepted",
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detail: "memory listed",
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items: await memoryStore.list(scope, scopeKey),
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target: scope,
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});
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}
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if (args.action === "add") {
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if (sessionContext.memoryListReadScopes?.[scope] !== true) {
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: "rejected",
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detail: `must list ${scope} memory and review existing entries before add`,
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target: scope,
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});
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}
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const result = await memoryStore.upsert(scope, scopeKey, {
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content: args.content ?? "",
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sessionId: sessionContext.clientSessionId,
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source: "tool",
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traceId: sessionContext.traceId,
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});
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if (!result.entry) {
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: "rejected",
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detail: "content rejected by persistence policy",
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});
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}
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: result.changed ? "accepted" : "deduped",
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detail: result.detail,
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entry: result.entry,
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target: scope,
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});
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}
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if (args.action === "replace") {
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const result = await memoryStore.replace(
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scope,
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scopeKey,
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args.target_id ?? "",
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{
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content: args.content ?? "",
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sessionId: sessionContext.clientSessionId,
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source: "tool",
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traceId: sessionContext.traceId,
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},
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);
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return JSON.stringify({
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ok: true,
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kind: "memory",
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decision: result.changed ? "accepted" : "rejected",
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||||
detail: result.detail,
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target: scope,
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});
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}
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const result = await memoryStore.remove(
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scope,
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scopeKey,
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args.target_id ?? "",
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);
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return JSON.stringify({
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ok: true,
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kind: "memory",
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||||
decision: result.changed ? "accepted" : "rejected",
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||||
detail: result.detail,
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||||
target: scope,
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||||
});
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},
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});
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@@ -0,0 +1,22 @@
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import { tool } from "@opencode-ai/plugin";
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export default tool({
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description:
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"在前端地图上对 junctions 图层应用分区渲染。使用前必须完成两步:① 准备数据结构(JSON 文件,结构为 { node_area_map: Record<string, string>, area_ids?: string[], area_colors?: Record<string, string> },其中 node_area_map 的 key 是 junction/node id,value 是 area id);② 调用 store_render_ref 将 JSON 文件存储到受控路径,获取 render_ref(格式为 res-...);③ 将 render_ref 传入本工具完成前端渲染。注意:不要先把 ref 内容完整读出再传给前端,也不要直接传本地文件路径。",
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args: {
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reason: tool.schema
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.string()
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.describe(
|
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"Why this junction rendering action is needed for the user request.",
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),
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render_ref: tool.schema
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.string()
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.describe(
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"上一步通过 store_render_ref 获得的渲染引用 ID(res-...)。前端会按该引用拉取完整 payload 并渲染。不可直接传入本地文件路径或完整 JSON 数据。",
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),
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||||
},
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async execute() {
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// 工具参数里只需要 render_ref;浏览器端会再用该引用回读完整 payload.data 并完成渲染。
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return "已在地图上应用节点分区渲染。";
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},
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});
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@@ -0,0 +1,46 @@
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import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
const internalBaseUrl =
|
||||
process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
|
||||
const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
|
||||
|
||||
export default tool({
|
||||
description:
|
||||
"搜索当前用户和项目范围内的历史会话 transcript。适合回忆过去讨论过的案例、约束和结论,避免把一次性案例写入 memory。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
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||||
.describe("Why prior session history is needed for the current request."),
|
||||
query: tool.schema
|
||||
.string()
|
||||
.describe("What to search for in prior session history."),
|
||||
max_results: tool.schema
|
||||
.number()
|
||||
.int()
|
||||
.positive()
|
||||
.optional()
|
||||
.describe("Optional maximum number of hits to return."),
|
||||
},
|
||||
async execute(args, context) {
|
||||
const response = await fetch(
|
||||
`${internalBaseUrl}/internal/tools/session-search`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"x-agent-internal-token": internalToken,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
max_results: args.max_results,
|
||||
query: args.query,
|
||||
session_id: context.sessionID,
|
||||
}),
|
||||
},
|
||||
);
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
throw new Error(text);
|
||||
}
|
||||
return text;
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,42 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
export default tool({
|
||||
description:
|
||||
"在前端对话界面中渲染图表。折线图/柱状图必须使用 x_data 作为横轴标签,series[].data 作为同长度的一维数值数组,不要把折线数据写成 ECharts 的 [x, y] 二维点数组。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe("Why this chart should be rendered for the user request."),
|
||||
title: tool.schema.string().optional().describe("Chart title."),
|
||||
chart_type: tool.schema
|
||||
.enum(["line", "bar", "pie"])
|
||||
.optional()
|
||||
.describe("Chart type."),
|
||||
x_data: tool.schema
|
||||
.array(tool.schema.string())
|
||||
.describe("X-axis labels. For line charts, put time/category labels here."),
|
||||
series: tool.schema
|
||||
.array(
|
||||
tool.schema.object({
|
||||
name: tool.schema.string(),
|
||||
data: tool.schema
|
||||
.array(tool.schema.number())
|
||||
.describe("Y values only. Must align by index with x_data."),
|
||||
type: tool.schema.enum(["line", "bar"]).optional(),
|
||||
}),
|
||||
)
|
||||
.describe("Series data."),
|
||||
x_axis_name: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("X-axis display name."),
|
||||
y_axis_name: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Y-axis display name."),
|
||||
},
|
||||
async execute() {
|
||||
// 图表数据已经在工具参数里,前端收到 tool_call 后直接渲染,不再二次请求后端。
|
||||
return "图表将在对话中显示。";
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,158 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
import { SkillStore } from "../../src/skills/store.js";
|
||||
import {
|
||||
getRuntimeSessionContext,
|
||||
type RuntimeSessionContext,
|
||||
} from "../../src/runtime/sessionContext.js";
|
||||
|
||||
type ToolContextReader = {
|
||||
read(sessionId: string): RuntimeSessionContext | null;
|
||||
};
|
||||
|
||||
const runtimeContextReader: ToolContextReader = {
|
||||
read: getRuntimeSessionContext,
|
||||
};
|
||||
|
||||
export const createSkillManagerTool = (
|
||||
skillStore = new SkillStore(),
|
||||
toolContextStore: ToolContextReader = runtimeContextReader,
|
||||
initializePromise: Promise<unknown> = Promise.resolve(),
|
||||
) =>
|
||||
tool({
|
||||
description:
|
||||
"维护已验证、可复用、非敏感的 workflow 或方法模式。支持 list、write_skill、remove_skill、append_pattern、remove_pattern、write_reference、remove_reference、write_script、remove_script。",
|
||||
args: {
|
||||
action: tool.schema
|
||||
.enum([
|
||||
"list",
|
||||
"write_skill",
|
||||
"remove_skill",
|
||||
"append_pattern",
|
||||
"remove_pattern",
|
||||
"write_reference",
|
||||
"remove_reference",
|
||||
"write_script",
|
||||
"remove_script",
|
||||
])
|
||||
.describe("Skill maintenance operation."),
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe(
|
||||
"Why this skill maintenance action is justified for future reuse.",
|
||||
),
|
||||
skill_path: tool.schema
|
||||
.string()
|
||||
.describe(
|
||||
"Target skill directory path relative to .opencode/skills. Use 'workflow' for the workflow index, or '__root__' for the root skills index.",
|
||||
),
|
||||
pattern: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Pattern text used by append_pattern."),
|
||||
target_id: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Stable learned pattern id used by remove_pattern."),
|
||||
file_path: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
"Asset file path. For references use references/*.md; for scripts use scripts/*.py.",
|
||||
),
|
||||
content: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe(
|
||||
"Content used by write_skill, write_reference, or write_script.",
|
||||
),
|
||||
},
|
||||
async execute(args, context) {
|
||||
await initializePromise;
|
||||
const sessionContext = toolContextStore.read(context.sessionID);
|
||||
if (!sessionContext) {
|
||||
throw new Error(`session context not found for ${context.sessionID}`);
|
||||
}
|
||||
if (
|
||||
sessionContext.allowLearningWrite === false &&
|
||||
args.action !== "list"
|
||||
) {
|
||||
return JSON.stringify({
|
||||
ok: true,
|
||||
kind: "skill",
|
||||
decision: "rejected",
|
||||
detail: "skill writes are disabled for this session",
|
||||
});
|
||||
}
|
||||
if (args.action === "list") {
|
||||
const result = await skillStore.list(args.skill_path);
|
||||
if (!result) {
|
||||
return JSON.stringify({
|
||||
ok: true,
|
||||
kind: "skill",
|
||||
decision: "rejected",
|
||||
detail:
|
||||
"invalid skill_path; expected a relative path under .opencode/skills",
|
||||
});
|
||||
}
|
||||
return JSON.stringify({
|
||||
ok: true,
|
||||
kind: "skill",
|
||||
decision: "accepted",
|
||||
detail: "skill listed",
|
||||
references: result.references,
|
||||
scripts: result.scripts,
|
||||
skill_path: result.skillPath,
|
||||
target: result.target,
|
||||
patterns: result.patterns,
|
||||
});
|
||||
}
|
||||
|
||||
const result =
|
||||
args.action === "write_skill"
|
||||
? await skillStore.writeSkill(args.skill_path, args.content ?? "")
|
||||
: args.action === "remove_skill"
|
||||
? await skillStore.removeSkill(args.skill_path)
|
||||
: args.action === "append_pattern"
|
||||
? await skillStore.appendPattern(
|
||||
args.skill_path,
|
||||
args.pattern ?? "",
|
||||
)
|
||||
: args.action === "remove_pattern"
|
||||
? await skillStore.removePattern(
|
||||
args.skill_path,
|
||||
args.target_id ?? "",
|
||||
)
|
||||
: args.action === "write_reference"
|
||||
? await skillStore.writeReference(
|
||||
args.skill_path,
|
||||
args.file_path ?? "",
|
||||
args.content ?? "",
|
||||
)
|
||||
: args.action === "remove_reference"
|
||||
? await skillStore.removeReference(
|
||||
args.skill_path,
|
||||
args.file_path ?? "",
|
||||
)
|
||||
: args.action === "write_script"
|
||||
? await skillStore.writeScript(
|
||||
args.skill_path,
|
||||
args.file_path ?? "",
|
||||
args.content ?? "",
|
||||
)
|
||||
: await skillStore.removeScript(
|
||||
args.skill_path,
|
||||
args.file_path ?? "",
|
||||
);
|
||||
|
||||
return JSON.stringify({
|
||||
ok: true,
|
||||
kind: "skill",
|
||||
decision: result.changed ? "accepted" : "rejected",
|
||||
detail: result.detail,
|
||||
target: result.target,
|
||||
});
|
||||
},
|
||||
});
|
||||
|
||||
export default createSkillManagerTool();
|
||||
@@ -0,0 +1,44 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
const internalBaseUrl =
|
||||
process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
|
||||
const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
|
||||
|
||||
export default tool({
|
||||
description:
|
||||
"将本地 JSON 渲染数据文件存储到受控路径,返回可供 render_junctions 使用的 render_ref(res-...)。前置步骤:先准备好符合 render_junctions 数据结构的 JSON 文件 { node_area_map, area_ids?, area_colors? },写入本地路径后再调用本工具传入该路径,获取 render_ref 后传给 render_junctions 完成前端渲染。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe(
|
||||
"为何需要将此本地渲染数据持久化为 render_ref,以便后续通过 render_junctions 渲染到前端。",
|
||||
),
|
||||
file_path: tool.schema
|
||||
.string()
|
||||
.describe(
|
||||
"本地 JSON 文件的绝对路径,内容为 render_junctions 所需的数据结构 { node_area_map, area_ids?, area_colors? }。",
|
||||
),
|
||||
},
|
||||
async execute(args, context) {
|
||||
const response = await fetch(
|
||||
`${internalBaseUrl}/internal/tools/store-render-ref`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"x-agent-internal-token": internalToken,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
session_id: context.sessionID,
|
||||
file_path: args.file_path,
|
||||
}),
|
||||
},
|
||||
);
|
||||
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
throw new Error(text);
|
||||
}
|
||||
return text;
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,30 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
export default tool({
|
||||
description: "为选定的管网要素打开前端的历史记录或计算结果面板。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe(
|
||||
"Why this history panel should be opened for the current task.",
|
||||
),
|
||||
feature_infos: tool.schema
|
||||
.array(tool.schema.tuple([tool.schema.string(), tool.schema.string()]))
|
||||
.describe("List of [id, type] pairs."),
|
||||
data_type: tool.schema
|
||||
.enum(["realtime", "scheme", "none"])
|
||||
.describe("History data source type."),
|
||||
start_time: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Optional ISO8601 start time."),
|
||||
end_time: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Optional ISO8601 end time."),
|
||||
},
|
||||
async execute() {
|
||||
// 返回短确认即可;面板打开动作由前端根据 tool_call 参数完成。
|
||||
return "已打开计算结果面板。";
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,30 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
export default tool({
|
||||
description: "打开前端的 SCADA 监测数据历史面板。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe("Why SCADA panel interaction is required for this request."),
|
||||
device_ids: tool.schema
|
||||
.array(tool.schema.string())
|
||||
.optional()
|
||||
.describe("Preferred SCADA device ids."),
|
||||
device_id: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Single SCADA device id."),
|
||||
start_time: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Optional ISO8601 start time."),
|
||||
end_time: tool.schema
|
||||
.string()
|
||||
.optional()
|
||||
.describe("Optional ISO8601 end time."),
|
||||
},
|
||||
async execute() {
|
||||
// SCADA 面板仍在浏览器侧执行,工具结果不承载实际监测数据。
|
||||
return "已打开 SCADA 监测面板。";
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,62 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
const internalBaseUrl =
|
||||
process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
|
||||
const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
|
||||
|
||||
export default tool({
|
||||
description:
|
||||
"调用 TJWater 后端的实时网页搜索服务。适合查询新闻、政策、规范、产品资料、公开网页事实等可能变化的信息。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe("Why web search is required for the current user request."),
|
||||
query: tool.schema.string().describe("Search query text."),
|
||||
freshness: tool.schema
|
||||
.enum(["no_limit", "one_day", "one_week", "one_month", "one_year"])
|
||||
.optional()
|
||||
.describe("Optional freshness filter. Defaults to no_limit."),
|
||||
summary: tool.schema
|
||||
.boolean()
|
||||
.optional()
|
||||
.describe("Whether the backend should include page summaries."),
|
||||
count: tool.schema
|
||||
.number()
|
||||
.int()
|
||||
.positive()
|
||||
.optional()
|
||||
.describe("Optional result count, backend accepts 1 to 50."),
|
||||
include: tool.schema
|
||||
.array(tool.schema.string())
|
||||
.optional()
|
||||
.describe("Optional domains to include."),
|
||||
exclude: tool.schema
|
||||
.array(tool.schema.string())
|
||||
.optional()
|
||||
.describe("Optional domains to exclude."),
|
||||
},
|
||||
async execute(args, context) {
|
||||
const response = await fetch(`${internalBaseUrl}/internal/tools/web-search`, {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"x-agent-internal-token": internalToken,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
session_id: context.sessionID,
|
||||
query: args.query,
|
||||
freshness: args.freshness,
|
||||
summary: args.summary,
|
||||
count: args.count,
|
||||
include: args.include,
|
||||
exclude: args.exclude,
|
||||
}),
|
||||
});
|
||||
|
||||
const text = await response.text();
|
||||
if (!response.ok) {
|
||||
throw new Error(text);
|
||||
}
|
||||
return text;
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,32 @@
|
||||
import { tool } from "@opencode-ai/plugin";
|
||||
|
||||
export default tool({
|
||||
description:
|
||||
"在前端地图上缩放定位到坐标。默认坐标为 EPSG:3857;如果来自天地图 geocode 的 lon/lat,传 source_crs='EPSG:4326',前端会转换为 EPSG:3857 后缩放。",
|
||||
args: {
|
||||
reason: tool.schema
|
||||
.string()
|
||||
.describe("Why this map zoom action is needed for the current request."),
|
||||
x: tool.schema
|
||||
.number()
|
||||
.describe("X coordinate. For EPSG:4326 this is longitude; for EPSG:3857 this is meters."),
|
||||
y: tool.schema
|
||||
.number()
|
||||
.describe("Y coordinate. For EPSG:4326 this is latitude; for EPSG:3857 this is meters."),
|
||||
source_crs: tool.schema
|
||||
.enum(["EPSG:3857", "EPSG:4326"])
|
||||
.optional()
|
||||
.describe("Input coordinate CRS. Defaults to EPSG:3857."),
|
||||
zoom: tool.schema
|
||||
.number()
|
||||
.optional()
|
||||
.describe("Optional OpenLayers zoom level. Defaults to 18."),
|
||||
duration_ms: tool.schema
|
||||
.number()
|
||||
.optional()
|
||||
.describe("Optional animation duration in milliseconds. Defaults to 1000."),
|
||||
},
|
||||
async execute() {
|
||||
return "已缩放到指定地图坐标。";
|
||||
},
|
||||
});
|
||||
Reference in New Issue
Block a user