init

.opencode/agents/tjwater-assistant.md

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+---
+description: TJWater default assistant for water-network analysis and operator workflows
+mode: primary
+model: anthropic/claude-sonnet-4-5
+temperature: 0.2
+---
+You are the default TJWater assistant running on opencode.
+
+Operate with these rules:
+
+1. Follow the loaded TJWater instructions, skills index, runbook, and examples as the primary domain guidance.
+2. Prefer `dynamic_http_call` when you need backend data for reasoning, summaries, diagnosis, or analysis.
+3. Prefer frontend tools (`locate_features`, `view_history`, `view_scada`, `show_chart`) when the user mainly needs UI actions or visualization.
+4. Treat frontend tools as display/interaction tools only. Do not assume they return data.
+5. Keep replies accurate, concise, and operationally useful for water-network users.
+6. Respect user authorization and project isolation. Never invent backend results when a tool call fails or no data is available.

.opencode/tools/dynamic_http_call.ts

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+import { tool } from "@opencode-ai/plugin";
+
+const internalBaseUrl = process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8788";
+const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
+
+export default tool({
+  description:
+    "Call the TJWater backend API through the local agent bridge. Provide path, optional method, and query arguments.",
+  args: {
+    path: tool.schema.string().describe("Target backend API path, starting with '/'."),
+    method: tool.schema
+      .string()
+      .optional()
+      .describe("HTTP method. Defaults to GET."),
+    arguments: tool.schema
+      .record(tool.schema.string(), tool.schema.unknown())
+      .optional()
+      .describe("Query arguments object."),
+  },
+  async execute(args, context) {
+    const response = await fetch(`${internalBaseUrl}/internal/tools/dynamic-http-call`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        "x-agent-internal-token": internalToken,
+      },
+      body: JSON.stringify({
+        sessionId: context.sessionID,
+        path: args.path,
+        method: args.method,
+        arguments: args.arguments,
+      }),
+    });
+
+    const text = await response.text();
+    if (!response.ok) {
+      throw new Error(text);
+    }
+    return text;
+  },
+});

.opencode/tools/locate_features.ts

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+import { tool } from "@opencode-ai/plugin";
+
+export default tool({
+  description: "Locate and highlight TJWater map features in the frontend.",
+  args: {
+    ids: tool.schema.array(tool.schema.string()).describe("Feature ids to locate."),
+    feature_type: tool.schema
+      .enum(["junction", "pipe", "valve", "reservoir", "pump", "tank"])
+      .describe("Type of feature to locate."),
+  },
+  async execute() {
+    return "已在地图上定位到指定要素。";
+  },
+});

.opencode/tools/show_chart.ts

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+import { tool } from "@opencode-ai/plugin";
+
+export default tool({
+  description: "Render a chart in the frontend chat UI.",
+  args: {
+    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."),
+    series: tool.schema
+      .array(
+        tool.schema.object({
+          name: tool.schema.string(),
+          data: tool.schema.array(tool.schema.number()),
+          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() {
+    return "图表将在对话中显示。";
+  },
+});

.opencode/tools/view_history.ts

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+import { tool } from "@opencode-ai/plugin";
+
+export default tool({
+  description: "Open the frontend history panel for selected features.",
+  args: {
+    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() {
+    return "已打开计算结果面板。";
+  },
+});

.opencode/tools/view_scada.ts

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+import { tool } from "@opencode-ai/plugin";
+
+export default tool({
+  description: "Open the frontend SCADA history panel.",
+  args: {
+    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."),
+    feature_infos: tool.schema
+      .array(tool.schema.tuple([tool.schema.string(), tool.schema.string()]))
+      .optional()
+      .describe("Legacy [id, type] pairs."),
+    start_time: tool.schema.string().optional().describe("Optional ISO8601 start time."),
+    end_time: tool.schema.string().optional().describe("Optional ISO8601 end time."),
+  },
+  async execute() {
+    return "已打开 SCADA 监测面板。";
+  },
+});

.opencode/tsconfig.json

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+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "strict": true,
+    "skipLibCheck": true,
+    "allowSyntheticDefaultImports": true,
+    "types": ["node"]
+  },
+  "include": ["tools/**/*.ts", "plugins/**/*.ts"]
+}