Swap the server engine to pi-ai/pi-agent-core (Band B+C of docs/pi-engine-swap.md)

The Vercel AI SDK survives only as Band D (useChat client + UIMessage
record types); @openrouter/ai-sdk-provider is uninstalled.

- src/agent/models.ts: PiEngine {model, streamFn} via createModels +
  openrouterProvider subpath; thinkingLevelFor maps config effort none->off
- src/agent/lh-tool.ts: neutral LhTool (zod authoring, optional execute,
  clientQuestion flag); toPiTool converts via z.toJSONSchema and re-runs
  zod inside execute so refinements ride the error-result retry path
- src/server/pi/record-adapter.ts: UIMessage records -> pi Messages
  (dangling tool calls get synthesized interrupted results)
- src/server/pi/ui-stream.ts: SSE bridge emitting AI-SDK-shaped chunks so
  the useChat client parses unchanged (continuation id rule, question
  tools never emit output, tool-input-error for bad authoring)
- teacher-agent.ts: stateless per-turn pi Agents; shouldStopAfterTurn
  stops only when every question-tool call resolved cleanly (errors retry)
- chat-handler.ts: buildAgent(outgoing) factory seam (stateless doctrine);
  assertValidUiMessages owns the retired SDK validation gate
- sub-agents via shared runSubagent (pi-run.ts); extraction stages stop
  after a clean submit; visual-maker keeps its hand-rolled loop over
  direct streamSimple calls; aborted model calls bill no usage
- tests: all model seams ported to pi-ai faux provider (scripted
  FauxResponseSteps, agent factories); handleChatRequest second param
  is now an agent factory

Gates: tsc, lint, build, 305/305. Live GLM smoke (disposable driver,
deleted): prober streaming + persistence, question seam, turn-2
continuation same message id, per-turn real token usage - ALL PASS.
Data wiped at the pivot (chats/graph/jobs, .gitkeeps kept).
This commit is contained in:
amosblomqvist
2026-09-12 02:34:18 +03:00
parent 377d4b6548
commit 2d717fd932
27 changed files with 3557 additions and 769 deletions
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import { Agent, type AgentEvent, type AgentMessage, type AgentTool } from "@earendil-works/pi-agent-core";
import type { AssistantMessage, ToolResultMessage, Usage } from "@earendil-works/pi-ai";
import { openRouterApiKey, piEngineFor, thinkingLevelFor, type PiEngine } from "../models.ts";
import type { ModelRole } from "../../../config.ts";
/**
* The shared sub-agent runner (docs/pi-engine-swap.md §6): one helper every
* background agent (researcher, demo-builder, visual-maker, extractor,
* auditor) runs on — a stateless pi Agent built per call, driven to
* completion, with the seams the job runner and the money channel need.
*
* Error semantics mirror the old ToolLoopAgent.generate: provider/loop
* failures THROW (pi encodes them in the stream; this helper surfaces
* them), and an abort throws an AbortError so every existing
* `signal.aborted` early-return keeps working unchanged.
*/
export interface SubagentRunOptions {
/** The role whose engine (model + thinking level) this run uses. */
role: ModelRole;
/** Test seam: a scripted engine replaces the role's production one. */
engine?: PiEngine;
systemPrompt: string;
/** Initial transcript (continuation semantics: ends user / toolResult). */
messages?: AgentMessage[];
/** Fresh-run prompt text (mutually exclusive with a continuation). */
prompt?: string;
/** Max model calls (the old stepCountIs safety net). */
maxTurns: number;
/** Abort mid-model-call (the real-kill semantics). */
abortSignal?: AbortSignal;
/** Money channel: one call per model request. */
onUsage?: (usage: Usage) => void;
/** Activity line per tool execution (job record progress). */
onToolStart?: (toolName: string, args: unknown) => void;
/** Per completed assistant message (extraction's step log). */
onAssistantMessage?: (message: AssistantMessage, step: number) => void;
/** Extra stop rule (extractor: stop after a clean submit). */
shouldStop?: (message: AssistantMessage, toolResults: ToolResultMessage[]) => boolean;
}
export interface SubagentRunResult {
/** The messages this run added (assistant + tool results). */
newMessages: AgentMessage[];
/** The final assistant text (the deliverable). */
text: string;
}
export function subagentEngine(role: ModelRole, override?: PiEngine): PiEngine {
return override ?? piEngineFor(role);
}
export async function runSubagent(tools: AgentTool<any, any>[], opts: SubagentRunOptions): Promise<SubagentRunResult> {
const engine = subagentEngine(opts.role, opts.engine);
let turns = 0;
const agent = new Agent({
initialState: {
systemPrompt: opts.systemPrompt,
model: engine.model,
thinkingLevel: thinkingLevelFor(opts.role),
tools,
messages: opts.messages ?? [],
},
streamFn: engine.streamFn,
getApiKey: () => openRouterApiKey(),
shouldStopAfterTurn: (context) => {
turns++;
return turns >= opts.maxTurns || opts.shouldStop?.(context.message, context.toolResults) === true;
},
});
const onAbort = () => agent.abort();
opts.abortSignal?.addEventListener("abort", onAbort, { once: true });
const before = opts.messages?.length ?? 0;
let step = 0;
let errorMessage: string | undefined;
let aborted = false;
try {
agent.subscribe((event: AgentEvent) => {
switch (event.type) {
case "message_end":
if ((event.message as { role?: string }).role === "assistant") {
const m = event.message as AssistantMessage;
if (m.stopReason === "aborted") {
// The call was cancelled — no completed step, no billed
// usage (the abort path asserts zero steps).
aborted = true;
break;
}
step++;
opts.onUsage?.(m.usage);
opts.onAssistantMessage?.(m, step);
if (m.stopReason === "error") errorMessage = m.errorMessage;
}
break;
case "tool_execution_start":
opts.onToolStart?.(event.toolName, event.args);
break;
}
});
if (opts.prompt !== undefined) await agent.prompt({
role: "user",
content: opts.prompt,
timestamp: Date.now(),
});
else await agent.continue();
} finally {
opts.abortSignal?.removeEventListener("abort", onAbort);
}
if (aborted || opts.abortSignal?.aborted) {
const err = new Error("aborted");
err.name = "AbortError";
throw err;
}
if (errorMessage !== undefined) throw new Error(errorMessage);
const newMessages = agent.state.messages.slice(before);
const assistants = newMessages.filter((m) => (m as { role?: string }).role === "assistant") as AssistantMessage[];
const last = assistants[assistants.length - 1];
const text = last
? last.content
.filter((c): c is { type: "text"; text: string } => c.type === "text")
.map((c) => c.text)
.join("")
: "";
return { newMessages, text };
}