jiang
6a49d2209e
Move project and host queries into native MCP with host-owned OAuth/context, while retaining memory, skills, actions and publication plugins. Add nearby-model queries and explicit chat/task/learning model defaults. Adopt Responses HTTP/SSE and native steer/queue inbox delivery, preserving scoped session ownership, pending input edits and investigation communication. Disable local-provider discovery: Server /health allowed native vLLM to probe /v1/models on port 8000. A native before/after regression prevents recurrence. Validation: 170 focused Bun tests; service/plugin typechecks; native discovery, provider-discovery and input-inbox smoke checks; no paid model inference.
64 lines
2.7 KiB
TypeScript
64 lines
2.7 KiB
TypeScript
import { describe, expect, it } from "bun:test";
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import proposeTaskAction from "../../.opencode/tools/propose_task_action.js";
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import {
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agentTriggerContextSchema,
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buildAgentTriggerPrompt,
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} from "../../src/routes/agentTrigger.js";
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const trigger = {
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schema_version: "agent-trigger@1",
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kind: "event",
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trigger_id: "peripheral.work_order.created:project-1:50000000-0000-4000-8000-000000000001:1",
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occurred_at: "2026-09-22T10:00:00+08:00",
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source: "peripheral_sample",
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subject_type: "work_order",
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subject_id: "50000000-0000-4000-8000-000000000001",
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workflow: "water_quality_complaint",
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payload: {
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title: "居民反映自来水有异味",
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summary: "演示小区多户居民反映晨间用水有异味。",
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location: "演示小区",
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priority: "high",
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scenario_code: "WQ-SECONDARY-SUPPLY-001",
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origin: "synthetic",
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},
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} as const;
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describe("agent event trigger", () => {
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it("accepts the water-quality work-order contract and builds a bounded prompt", () => {
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const parsed = agentTriggerContextSchema.parse(trigger);
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const prompt = buildAgentTriggerPrompt(parsed);
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expect(prompt).toContain("水质监测点");
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expect(prompt).toContain("二次供水");
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expect(prompt).toContain("合成演练数据");
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expect(prompt).toContain("动态规划本次调查");
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expect(prompt).not.toContain("请按‘上游数据质量正常");
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expect(prompt).toContain(trigger.trigger_id);
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});
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it("keeps event entry and action-tool instructions consistent with report-driven completion", () => {
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const prompt = buildAgentTriggerPrompt(agentTriggerContextSchema.parse(trigger));
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expect(prompt).toContain("mcp_tjwater_get_task_context");
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expect(prompt).toContain("final/insufficient_data");
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expect(prompt).toContain("正常结束本轮");
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expect(prompt).toContain("权限拒绝和接口错误不能证明数据缺失");
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expect(prompt).toContain("interim/concluded");
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expect(prompt).not.toContain("开始调查前调用 publish_execution_plan");
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expect(prompt).not.toContain("人工工作保持 waiting");
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expect(proposeTaskAction.description).toContain("interim concluded report");
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expect(proposeTaskAction.description).toContain("No execution plan is required");
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expect(proposeTaskAction.description).toContain("node_id is an optional display reference");
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expect(proposeTaskAction.description).not.toContain("published current plan");
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expect(proposeTaskAction.description).not.toContain("republish the plan");
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});
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it("rejects a different scenario instead of routing arbitrary work orders", () => {
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expect(agentTriggerContextSchema.safeParse({
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...trigger,
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payload: { ...trigger.payload, scenario_code: "UNKNOWN" },
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}).success).toBe(false);
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});
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});
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