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.
52 lines
2.7 KiB
TypeScript
52 lines
2.7 KiB
TypeScript
import { tool } from "../tool.js";
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import { getInternalBridgeConfig } from "../internalBridge.js";
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import { taskPublicationDiagramSchema } from "./task-publication-schema.js";
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export default tool({
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description: "Publish an evidence-backed investigation report. No todo or execution plan is required. An optional Mermaid diagram explains the investigation to people; it never schedules or completes work. Before proposing actions publish an interim concluded report, then publish a final report referencing the actual actions. Missing critical data ends the round with final insufficient_data and blocking gaps, no recommendations or pending items. Query failures are execution errors, not proof that data is absent. The run lifecycle endpoint settles execution independently of the diagram.",
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args: {
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request_id: tool.schema.string().describe("Stable UUID idempotency key for this report revision"),
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report: tool.schema.object({
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title: tool.schema.string(),
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current_conclusion: tool.schema.string(),
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conclusion_boundary: tool.schema.string(),
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evidence_refs: tool.schema.array(tool.schema.string()),
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recommendations: tool.schema.array(tool.schema.string()),
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pending_items: tool.schema.array(tool.schema.string()),
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stage: tool.schema.enum(["interim", "final"]),
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outcome: tool.schema.enum(["concluded", "insufficient_data"]),
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stop_reason: tool.schema.string().nullable(),
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data_gaps: tool.schema.array(tool.schema.object({
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gap_id: tool.schema.string(),
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node_id: tool.schema.string().nullable().optional(),
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missing_data: tool.schema.string(),
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scope: tool.schema.string(),
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impact: tool.schema.string(),
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required_data: tool.schema.string(),
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evidence_refs: tool.schema.array(tool.schema.string()),
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blocking: tool.schema.boolean(),
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})),
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diagram: taskPublicationDiagramSchema.nullish(),
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}),
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evidence: tool.schema.array(tool.schema.object({
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evidence_id: tool.schema.string(),
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kind: tool.schema.literal("synthetic"),
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summary: tool.schema.string(),
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source_label: tool.schema.string(),
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source_ref: tool.schema.string().optional(),
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observed_at: tool.schema.string(),
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})),
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},
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async execute(args, context) {
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const { baseUrl, internalToken } = getInternalBridgeConfig();
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const response = await fetch(`${baseUrl}/internal/operational-task/artifacts`, {
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method: "POST",
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headers: { "Content-Type": "application/json", "x-agent-internal-token": internalToken },
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body: JSON.stringify({ session_id: context.sessionID, ...args }),
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});
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const text = await response.text();
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if (!response.ok) throw new Error(`task report publish failed (${response.status}): ${text}`);
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return text;
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},
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});
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