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.
50 lines
2.7 KiB
TypeScript
50 lines
2.7 KiB
TypeScript
import { tool } from "../tool.js";
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// OpenCode owns a separate Zod version. Native parameters are described here;
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// product schemas revalidate progress and presentation at execution boundaries.
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const text = tool.schema.string().trim().min(1);
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const identifier = text.max(128);
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const layer = tool.schema.enum(["junctions", "pipes", "valves", "pumps", "tanks", "reservoirs", "scada"]);
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export const taskPublicationDiagramSchema = tool.schema.object({
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title: text,
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mermaid: text.max(20000).describe("Mermaid flowchart source; no Markdown fences, initialization directives or click callbacks"),
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node_refs: tool.schema.array(tool.schema.object({
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node_id: tool.schema.string().regex(/^[A-Za-z_][A-Za-z0-9_-]{0,79}$/),
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label: text,
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evidence_refs: tool.schema.array(text).default([]),
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action_refs: tool.schema.array(tool.schema.string().uuid()).default([]),
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status: tool.schema.enum(["pending", "running", "completed", "waiting_human", "failed", "skipped", "cancelled"]).nullish(),
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map_targets: tool.schema.array(tool.schema.object({ source_id: layer, feature_id: identifier }).strict()).max(100).default([]),
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}).strict()).max(100).default([]),
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}).strict();
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export const taskPublicationProgressSchema = tool.schema.object({
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summary: text.max(20000),
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diagram: taskPublicationDiagramSchema.nullable().default(null),
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}).strict();
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const chart = tool.schema.object({
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title: tool.schema.string().max(200),
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chart_type: tool.schema.enum(["line", "bar"]),
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x_data: tool.schema.array(tool.schema.string().max(128)).min(1).max(100),
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series: tool.schema.array(tool.schema.object({
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name: tool.schema.string().max(128), data: tool.schema.array(tool.schema.number().finite()).min(1).max(100),
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}).strict()).min(1).max(8),
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}).strict();
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export const taskPublicationCommandSchema = tool.schema.discriminatedUnion("action", [
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tool.schema.object({
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action: tool.schema.literal("highlight_features"), layer,
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feature_ids: tool.schema.array(identifier).min(1).max(100),
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effect: tool.schema.enum(["steady", "pulse"]).default("steady"),
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}).strict(),
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tool.schema.object({ action: tool.schema.literal("clear_highlights") }).strict(),
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tool.schema.object({ action: tool.schema.literal("open_chart"), chart_id: identifier, chart,
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evidence_refs: tool.schema.array(text).min(1).max(100) }).strict(),
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tool.schema.object({ action: tool.schema.literal("close_chart"), chart_id: identifier }).strict(),
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tool.schema.object({ action: tool.schema.literal("set_overlay"), overlay_id: identifier,
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title: text.max(200), mode: tool.schema.enum(["geometry", "heatmap"]), evidence_id: text }).strict(),
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tool.schema.object({ action: tool.schema.literal("clear_overlay"), overlay_id: identifier }).strict(),
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]);
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