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:
@@ -0,0 +1,163 @@
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import type { UIMessage } from "ai";
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import type { AgentMessage } from "@earendil-works/pi-agent-core";
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import type { AssistantMessage, Message, ToolResultMessage } from "@earendil-works/pi-ai";
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/**
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* The record → pi-ai transcript adapter (docs/pi-engine-swap.md §4). The
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* persisted UIMessage record IS the source of truth; every turn builds a
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* fresh agent from it (the stateless per-turn decision). This replaces the
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* SDK's convertToModelMessages with an owned, explicit mapping:
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*
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* - user text parts → UserMessage text content; data parts are dropped
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* (the plan-accept seam rides its text twin — the client always sends
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* "The plan is accepted — begin teaching." alongside the marker).
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* - assistant text/reasoning/tool parts → one AssistantMessage whose
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* content blocks mirror the part order; tool parts become ToolCall
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* blocks (output-error parts keep their rawInput).
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* - answered tool parts (output-available) → ToolResultMessage after the
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* assistant message, JSON-encoded like the model saw it live.
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* - errored tool parts (output-error) → an isError ToolResultMessage
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* carrying the validation message (the model's retry context).
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* - DANGLING calls (input-available, never answered — an aborted turn)
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* → a synthesized interrupted ToolResultMessage. THE HARD INVARIANT:
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* an assistant message with tool calls must be followed by tool
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* results, or providers reject the request outright.
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*/
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const INTERRUPTED = "The question was interrupted — the learner never answered; continue without holding a result for it.";
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function textOf(part: { text?: string }): string {
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return typeof part.text === "string" ? part.text : "";
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}
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/** Encode a tool output the way the model saw it live (string verbatim, object JSON). */
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function toolResultText(output: unknown): string {
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return typeof output === "string" ? output : JSON.stringify(output);
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}
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function zeroUsage() {
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return {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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}
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export function recordToPiMessages(messages: UIMessage[]): Message[] {
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const out: AgentMessage[] = [];
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for (const message of messages) {
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if (message.role === "user") {
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const texts = message.parts
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.filter((p) => p.type === "text")
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.map((p) => textOf(p as { text?: string }))
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.filter((t) => t.length > 0);
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if (texts.length === 0) continue; // pure data-part marker, no text
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out.push({
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role: "user",
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content: texts.map((text) => ({ type: "text" as const, text })),
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timestamp: Date.now(),
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});
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} else if (message.role === "assistant") {
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const content: AssistantMessage["content"] = [];
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const results: ToolResultMessage[] = [];
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let answered = false;
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for (const part of message.parts) {
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if (part.type === "text") {
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const text = textOf(part);
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if (text) content.push({ type: "text", text });
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} else if (part.type === "reasoning") {
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const text = textOf(part);
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if (text) content.push({ type: "thinking", thinking: text });
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} else if (part.type === "step-start") {
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// presentation-only; the pi loop re-derives turn boundaries
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} else if (part.type.startsWith("tool-")) {
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const tool = part.type.slice("tool-".length);
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const p = part as unknown as {
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toolCallId: string;
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state: string;
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input?: unknown;
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rawInput?: unknown;
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output?: unknown;
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errorText?: string;
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};
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// The call block (any state — the model authored it).
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if (p.state === "input-available" || p.state === "input-streaming" || p.state === "output-available") {
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content.push({
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type: "toolCall",
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id: p.toolCallId,
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name: tool,
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arguments: (p.input ?? {}) as Record<string, unknown>,
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});
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} else if (p.state === "output-error") {
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content.push({
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type: "toolCall",
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id: p.toolCallId,
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name: tool,
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arguments: (p.rawInput ?? p.input ?? {}) as Record<string, unknown>,
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});
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}
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// The result, if any.
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if (p.state === "output-available") {
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results.push({
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role: "toolResult",
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toolCallId: p.toolCallId,
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toolName: tool,
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content: [{ type: "text", text: toolResultText(p.output) }],
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isError: false,
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timestamp: Date.now(),
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});
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answered = true;
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} else if (p.state === "output-error") {
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results.push({
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role: "toolResult",
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toolCallId: p.toolCallId,
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toolName: tool,
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content: [{ type: "text", text: p.errorText ?? "The tool call failed validation." }],
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isError: true,
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timestamp: Date.now(),
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});
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answered = true;
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}
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}
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// data-* parts (plan blocks, artifacts, markers) never reach the model.
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}
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if (content.length === 0) continue; // presentation-only message
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out.push({
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role: "assistant",
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content,
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api: "openai-completions",
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provider: "openrouter",
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model: "replayed",
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usage: zeroUsage(),
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stopReason: content[content.length - 1]!.type === "toolCall" ? "toolUse" : "stop",
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timestamp: Date.now(),
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});
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// Dangling calls: synthesize the interrupted result so providers
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// never see an unanswered tool call (the hard invariant).
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if (!answered) {
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for (const block of content) {
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if (block.type === "toolCall" && !results.some((r) => r.toolCallId === block.id)) {
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results.push({
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role: "toolResult",
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toolCallId: block.id,
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toolName: block.name,
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content: [{ type: "text", text: INTERRUPTED }],
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isError: false,
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timestamp: Date.now(),
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});
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}
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}
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}
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out.push(...results);
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}
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// role "system" never appears in records (system prompt is composed separately).
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}
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return out as Message[];
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}
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@@ -0,0 +1,346 @@
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import type { Agent, AgentEvent } from "@earendil-works/pi-agent-core";
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import type { UIMessage } from "ai";
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import { QUESTION_TOOLS } from "../../core/pending.ts";
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/**
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* The UI-stream bridge (docs/pi-engine-swap.md §5): runs one agent turn and
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* re-emits it as an AI-SDK-shaped UIMessageStream SSE response — the wire
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* protocol `useChat` (Band D, unchanged) parses:
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*
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* data: {"type":"text-delta", …}\n\n … data: [DONE]
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*
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* Load-bearing protocol rules (verified against ai@7's client):
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* - The `start` chunk's messageId MUST be the transcript's last message id
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* when it is an assistant message (the continuation id rule) — a fresh id
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* there duplicates every prior part client-side.
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* - Question tools (quiz / ask_user_question): emit tool-input-available and
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* NEVER tool-output-available (the client throws on an output for a call it
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* owns). The synthetic "question posed" result lives in memory only; the
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* record's part stays output-less until the learner answers.
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* - Errored calls (authoring validation) surface as tool-input-error — the
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* exact part shape the SDK produced for InvalidToolInputError (the
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* output-error state the chat flow asserts).
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* - The persisted message is assembled from the SAME parts the client
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* assembles (the processUIMessageStream shapes), so every downstream
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* consumer (phases, plan blocks, pending, extraction) is unchanged.
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*/
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/** SSE chunk — the flat JSON line shape the client's zod schema accepts. */
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type Chunk = Record<string, unknown> & { type: string };
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export interface PiTurnSpec {
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/** The per-turn agent (stateless engine — built from the record). */
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agent: Agent;
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/** The outgoing request messages (write-ahead persisted already). */
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uiMessages: UIMessage[];
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/** Request abort signal — aborts the agent mid-run. */
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signal?: AbortSignal;
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/** The handler's error-unmasking policy (validation messages stay readable). */
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onError?: (error: unknown) => string;
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/** The canonical end-of-turn seam: persist + usage + extraction + endTurn. */
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onFinish: (messages: UIMessage[], isAborted: boolean) => void;
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}
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/** Map a pi stop reason to the finish chunk's enum. */
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function finishReasonOf(stopReason: string | undefined): string {
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switch (stopReason) {
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case "stop":
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return "stop";
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case "length":
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return "length";
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case "toolUse":
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return "tool-calls";
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case "error":
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return "error";
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default:
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return "other";
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}
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}
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function resultErrorText(result: unknown): string {
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const content = (result as { content?: Array<{ type: string; text?: string }> } | undefined)?.content;
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const text = content?.find((c) => c.type === "text")?.text;
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return text ?? "The tool call failed.";
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}
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/** Loose part shapes the bridge assembles (the client's part shapes). */
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interface TextPart {
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type: "text";
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text: string;
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state: string;
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}
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interface ReasoningPart {
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type: "reasoning";
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id: string;
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text: string;
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state: string;
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}
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interface ToolPart {
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type: string;
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toolCallId: string;
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state: string;
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input?: unknown;
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rawInput?: unknown;
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output?: unknown;
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errorText?: string;
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}
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export function createPiTurnResponse(spec: PiTurnSpec): Response {
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const { agent, uiMessages, onFinish } = spec;
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// The streaming target: continuation (same id, parts appended to a copy
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// of the existing message) or a fresh assistant message.
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const last = uiMessages[uiMessages.length - 1];
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const continuing = last?.role === "assistant";
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const messageId =
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(continuing && last.id) || `msg_${Date.now().toString(36)}_${crypto.randomUUID().slice(0, 8)}`;
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const baseParts: UIMessage["parts"] = continuing ? [...last.parts] : [];
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const parts: UIMessage["parts"] = [...baseParts];
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// Stable, collision-free part ids across continuation runs (reasoning
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// parts persist their id; text ids only need per-run uniqueness).
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let textN = baseParts.filter((p) => p.type === "text").length;
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let reasoningN = baseParts.filter((p) => p.type === "reasoning").length;
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const textIds = new Map<number, string>(); // contentIndex → chunk id
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const reasoningIds = new Map<number, string>();
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const toolInputs = new Map<string, { toolName: string; input: unknown }>();
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/** The streaming text/reasoning parts of THIS run, keyed by chunk id. */
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const activeParts = new Map<string, TextPart | ReasoningPart>();
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/** Tool parts created this run, keyed by toolCallId. */
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const newToolParts = new Map<string, ToolPart>();
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let settled = false;
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let sawAbort = false;
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let finishReason: string | undefined;
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let errorMessage: string | undefined;
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const stream = new ReadableStream<Uint8Array>({
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start(controller) {
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const encoder = new TextEncoder();
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// Swallow enqueue on a cancelled stream (the client went away): the
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// run must still settle — onFinish persists the partial turn.
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const send = (chunk: Chunk) => {
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if (settled) return;
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try {
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controller.enqueue(encoder.encode(`data: ${JSON.stringify(chunk)}\n\n`));
|
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} catch {
|
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/* reader cancelled — stop emitting, keep running */
|
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}
|
||||
};
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const close = () => {
|
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if (settled) return;
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settled = true;
|
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try {
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controller.enqueue(encoder.encode("data: [DONE]\n\n"));
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controller.close();
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} catch {
|
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/* already cancelled */
|
||||
}
|
||||
};
|
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|
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send({ type: "start", messageId });
|
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|
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const onAbort = () => {
|
||||
sawAbort = true;
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agent.abort();
|
||||
};
|
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spec.signal?.addEventListener("abort", onAbort, { once: true });
|
||||
|
||||
const settleWith = () => {
|
||||
const assembled: UIMessage = { id: messageId, role: "assistant", parts };
|
||||
// The SDK's onFinish shape: the input copy stays, the extended
|
||||
// response copy appends (persistTurn's withMessageIds dedupe
|
||||
// keeps the last occurrence).
|
||||
onFinish([...uiMessages, assembled], sawAbort || spec.signal?.aborted === true);
|
||||
};
|
||||
|
||||
const handle = (event: AgentEvent) => {
|
||||
switch (event.type) {
|
||||
case "turn_start":
|
||||
send({ type: "start-step" });
|
||||
parts.push({ type: "step-start" });
|
||||
break;
|
||||
case "message_update": {
|
||||
const streamEvent = event.assistantMessageEvent;
|
||||
switch (streamEvent.type) {
|
||||
case "text_start": {
|
||||
const id = `${messageId}-t${textN++}`;
|
||||
textIds.set(streamEvent.contentIndex, id);
|
||||
const part: TextPart = { type: "text", text: "", state: "streaming" };
|
||||
activeParts.set(id, part);
|
||||
parts.push(part as UIMessage["parts"][number]);
|
||||
send({ type: "text-start", id });
|
||||
break;
|
||||
}
|
||||
case "text_delta": {
|
||||
const id = textIds.get(streamEvent.contentIndex);
|
||||
const part = id !== undefined ? (activeParts.get(id) as TextPart | undefined) : undefined;
|
||||
if (part) part.text += streamEvent.delta;
|
||||
if (id !== undefined) send({ type: "text-delta", id, delta: streamEvent.delta });
|
||||
break;
|
||||
}
|
||||
case "text_end": {
|
||||
const id = textIds.get(streamEvent.contentIndex);
|
||||
const part = id !== undefined ? (activeParts.get(id) as TextPart | undefined) : undefined;
|
||||
if (part) part.state = "done";
|
||||
activeParts.delete(id ?? "");
|
||||
if (id !== undefined) send({ type: "text-end", id });
|
||||
break;
|
||||
}
|
||||
case "thinking_start": {
|
||||
const id = `${messageId}-r${reasoningN++}`;
|
||||
reasoningIds.set(streamEvent.contentIndex, id);
|
||||
const part: ReasoningPart = { type: "reasoning", id, text: "", state: "streaming" };
|
||||
activeParts.set(id, part);
|
||||
parts.push(part as UIMessage["parts"][number]);
|
||||
send({ type: "reasoning-start", id });
|
||||
break;
|
||||
}
|
||||
case "thinking_delta": {
|
||||
const id = reasoningIds.get(streamEvent.contentIndex);
|
||||
const part = id !== undefined ? (activeParts.get(id) as ReasoningPart | undefined) : undefined;
|
||||
if (part) part.text += streamEvent.delta;
|
||||
if (id !== undefined) send({ type: "reasoning-delta", id, delta: streamEvent.delta });
|
||||
break;
|
||||
}
|
||||
case "thinking_end": {
|
||||
const id = reasoningIds.get(streamEvent.contentIndex);
|
||||
const part = id !== undefined ? (activeParts.get(id) as ReasoningPart | undefined) : undefined;
|
||||
if (part) part.state = "done";
|
||||
activeParts.delete(id ?? "");
|
||||
if (id !== undefined) send({ type: "reasoning-end", id });
|
||||
break;
|
||||
}
|
||||
case "toolcall_start": {
|
||||
const block = (event.message as { content: any[] }).content[streamEvent.contentIndex];
|
||||
if (block?.type !== "toolCall") break;
|
||||
toolInputs.set(block.id, { toolName: block.name, input: undefined });
|
||||
const part: ToolPart = {
|
||||
type: `tool-${block.name}`,
|
||||
toolCallId: block.id,
|
||||
state: "input-streaming",
|
||||
input: undefined,
|
||||
};
|
||||
newToolParts.set(block.id, part);
|
||||
parts.push(part as unknown as UIMessage["parts"][number]);
|
||||
send({ type: "tool-input-start", toolCallId: block.id, toolName: block.name });
|
||||
break;
|
||||
}
|
||||
case "toolcall_delta": {
|
||||
const block = (event.message as { content: any[] }).content[streamEvent.contentIndex];
|
||||
if (block?.type !== "toolCall") break;
|
||||
send({
|
||||
type: "tool-input-delta",
|
||||
toolCallId: block.id,
|
||||
inputTextDelta: streamEvent.delta,
|
||||
});
|
||||
break;
|
||||
}
|
||||
case "toolcall_end": {
|
||||
const toolCall = streamEvent.toolCall;
|
||||
toolInputs.set(toolCall.id, { toolName: toolCall.name, input: toolCall.arguments });
|
||||
const part = newToolParts.get(toolCall.id);
|
||||
if (part) {
|
||||
part.state = "input-available";
|
||||
part.input = toolCall.arguments;
|
||||
}
|
||||
send({
|
||||
type: "tool-input-available",
|
||||
toolCallId: toolCall.id,
|
||||
toolName: toolCall.name,
|
||||
input: toolCall.arguments,
|
||||
});
|
||||
break;
|
||||
}
|
||||
}
|
||||
break;
|
||||
}
|
||||
case "tool_execution_end": {
|
||||
const known = toolInputs.get(event.toolCallId);
|
||||
const toolName = event.toolName || known?.toolName || "";
|
||||
const input = known?.input;
|
||||
const part = newToolParts.get(event.toolCallId);
|
||||
if (event.isError) {
|
||||
const errorText = resultErrorText(event.result);
|
||||
if (part) {
|
||||
part.state = "output-error";
|
||||
part.rawInput = input;
|
||||
part.errorText = errorText;
|
||||
}
|
||||
send({
|
||||
type: "tool-input-error",
|
||||
toolCallId: event.toolCallId,
|
||||
toolName,
|
||||
input,
|
||||
errorText,
|
||||
});
|
||||
} else if ((QUESTION_TOOLS as readonly string[]).includes(toolName)) {
|
||||
// Client-owned: the answer arrives via addToolOutput;
|
||||
// the synthetic placeholder result never reaches wire
|
||||
// or record.
|
||||
break;
|
||||
} else {
|
||||
const output = (event.result as { details?: unknown } | undefined)?.details;
|
||||
if (part) {
|
||||
part.state = "output-available";
|
||||
part.output = output;
|
||||
}
|
||||
send({ type: "tool-output-available", toolCallId: event.toolCallId, output });
|
||||
}
|
||||
break;
|
||||
}
|
||||
case "turn_end":
|
||||
send({ type: "finish-step" });
|
||||
break;
|
||||
case "message_end":
|
||||
if (event.message && (event.message as { role?: string }).role === "assistant") {
|
||||
const m = event.message as { stopReason?: string; errorMessage?: string };
|
||||
finishReason = m.stopReason;
|
||||
if (m.stopReason === "aborted") sawAbort = true;
|
||||
if (m.stopReason === "error") errorMessage = m.errorMessage;
|
||||
}
|
||||
break;
|
||||
case "agent_end": {
|
||||
spec.signal?.removeEventListener("abort", onAbort);
|
||||
if (errorMessage !== undefined) {
|
||||
send({ type: "error", errorText: spec.onError?.(errorMessage) ?? errorMessage });
|
||||
}
|
||||
send({ type: "finish", finishReason: finishReasonOf(finishReason) });
|
||||
close();
|
||||
settleWith();
|
||||
break;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
agent.subscribe(handle);
|
||||
|
||||
void (async () => {
|
||||
try {
|
||||
await agent.continue();
|
||||
} catch (err) {
|
||||
// A loop-level failure (not a provider error — those ride the
|
||||
// stream as stopReason "error"): surface, persist, close.
|
||||
spec.signal?.removeEventListener("abort", onAbort);
|
||||
send({ type: "error", errorText: spec.onError?.(err) ?? "An error occurred." });
|
||||
send({ type: "finish", finishReason: "error" });
|
||||
close();
|
||||
settleWith();
|
||||
}
|
||||
})();
|
||||
},
|
||||
cancel() {
|
||||
// The client went away (reload/abort): kill the model call. The
|
||||
// run still settles — agent_end fires and onFinish persists.
|
||||
agent.abort();
|
||||
},
|
||||
});
|
||||
|
||||
return new Response(stream, {
|
||||
headers: {
|
||||
"Content-Type": "text/event-stream",
|
||||
"Cache-Control": "no-cache, no-transform",
|
||||
"X-Accel-Buffering": "no",
|
||||
},
|
||||
});
|
||||
}
|
||||
Reference in New Issue
Block a user