feat(agent): add controlled task execution
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import { tool } from "@opencode-ai/plugin";
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import { getInternalBridgeConfig } from "../internalBridge.js";
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export default tool({
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description: "Query one authorized operational data source through TJWater Server. Sources are finite and task-scoped; arbitrary URLs are not supported. peripheral_work_orders contains work-order and complaint business records. peripheral_observations is point/time-window monitoring observations, not complaint text, and requires point_id, start and end. Treat origin=synthetic as synthetic evidence. If truncated=true, do not infer that the unreturned full range has no anomalies.",
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args: {
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source: tool.schema.enum([
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"workbench_runtime",
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"scada_devices",
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"scada_readings",
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"peripheral_points",
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"peripheral_work_orders",
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"peripheral_observations",
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"peripheral_test_data",
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]),
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device_ids: tool.schema.array(tool.schema.string()).optional(),
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point_id: tool.schema.string().optional(),
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start: tool.schema.string().optional(),
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end: tool.schema.string().optional(),
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},
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async execute(query, context) {
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const { baseUrl, internalToken } = getInternalBridgeConfig();
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const response = await fetch(`${baseUrl}/internal/operational-task/data-query`, {
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method: "POST",
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headers: { "Content-Type": "application/json", "x-agent-internal-token": internalToken },
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body: JSON.stringify({ session_id: context.sessionID, query }),
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});
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const text = await response.text();
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if (!response.ok) throw new Error(`task data query failed (${response.status}): ${text}`);
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return text;
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},
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});
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