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-rw-r--r--packages/kernel/src/contracts/runtime.ts27
-rw-r--r--packages/kernel/src/runtime/run-turn.test.ts329
-rw-r--r--packages/kernel/src/runtime/run-turn.ts21
-rw-r--r--packages/session-orchestrator/src/orchestrator.test.ts371
-rw-r--r--packages/session-orchestrator/src/orchestrator.ts409
5 files changed, 1028 insertions, 129 deletions
diff --git a/packages/kernel/src/contracts/runtime.ts b/packages/kernel/src/contracts/runtime.ts
index 71d2211..2bab47a 100644
--- a/packages/kernel/src/contracts/runtime.ts
+++ b/packages/kernel/src/contracts/runtime.ts
@@ -142,6 +142,33 @@ export interface RunTurnInput {
readonly onStepComplete?: (messages: readonly ChatMessage[]) => Promise<void> | void;
/**
+ * Optional. Called by the runtime at each tool-result boundary — after a
+ * step that produced tool calls has been finalized (`onStepComplete` has run
+ * and any `drainSteering` messages have been appended), before the next step
+ * begins — giving the caller a chance to REPLACE the running message
+ * history. The caller returns a new message list which the runtime adopts
+ * as its working history for all subsequent steps, or `undefined`/an empty
+ * array to keep the history unchanged.
+ *
+ * The runtime receives the step's token `usage` (so the caller can check a
+ * threshold against the model's context window) and the current `messages`
+ * (the full prompt the next step would otherwise see). Generic and
+ * feature-agnostic: the runtime calls it and adopts whatever message list it
+ * returns — it names no feature, owns no threshold policy, and performs no
+ * I/O, mirroring `drainSteering`. The shell uses this to compact the history
+ * in-flight when the context window nears capacity, so a long-running turn
+ * (e.g. left overnight) does not run out of context mid-turn: it summarizes
+ * the old history and continues with the summary + recent messages. Only
+ * invoked when a step PRODUCED tool calls (there is a "next step" to compact
+ * before); a step that ends without tool calls ends the turn, so there is no
+ * boundary to compact at. Injected (not ambient) so the kernel stays pure.
+ */
+ readonly onStepBoundary?: (ctx: {
+ readonly stepUsage: Usage;
+ readonly messages: readonly ChatMessage[];
+ }) => Promise<readonly ChatMessage[] | undefined> | (readonly ChatMessage[] | undefined);
+
+ /**
* Optional injected retry strategy for retryable provider errors (e.g. HTTP
* 429 / 5xx "overloaded"). When omitted, a retryable error ends the step
* exactly as before (backward-compatible). When provided, the runtime wraps
diff --git a/packages/kernel/src/runtime/run-turn.test.ts b/packages/kernel/src/runtime/run-turn.test.ts
index 8d20975..90357b1 100644
--- a/packages/kernel/src/runtime/run-turn.test.ts
+++ b/packages/kernel/src/runtime/run-turn.test.ts
@@ -2899,6 +2899,335 @@ describe("runTurn", () => {
});
});
+ // ── onStepBoundary (in-flight history replacement) ──────────────────────
+ //
+ // PURE tests: a capturing provider + a fake `onStepBoundary` that returns a
+ // replacement message list (or void). The kernel must adopt the returned
+ // list as its working history for subsequent steps. ZERO mocks of
+ // `@dispatch/*` — the hook is injected like `drainSteering`.
+
+ describe("onStepBoundary", () => {
+ it("returns a replacement → next step's provider input is the replaced history (old messages dropped)", async () => {
+ const compactedHistory: ChatMessage[] = [
+ { role: "system", chunks: [{ type: "text", text: "SUMMARY" }] },
+ { role: "user", chunks: [{ type: "text", text: "recent" }] },
+ ];
+ let boundaryCallCount = 0;
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 999, outputTokens: 1 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ onStepBoundary: ({ messages }) => {
+ boundaryCallCount++;
+ // Sanity: the kernel passes the full running history at the boundary
+ // (user, assistant tool-call, tool result) — 3 messages.
+ expect(messages.length).toBe(3);
+ return compactedHistory;
+ },
+ });
+
+ expect(boundaryCallCount).toBe(1);
+ expect(capturedMessages).toHaveLength(2);
+ // The second step must see ONLY the replaced history — the original
+ // 3 messages are gone, replaced by [SUMMARY, recent].
+ const secondStepMessages = capturedMessages[1] ?? [];
+ expect(secondStepMessages).toHaveLength(2);
+ expect(secondStepMessages[0]).toEqual(compactedHistory[0]);
+ expect(secondStepMessages[1]).toEqual(compactedHistory[1]);
+ });
+
+ it("returns undefined → history unchanged (byte-identical to omitting the hook)", async () => {
+ let boundaryCallCount = 0;
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ onStepBoundary: () => {
+ boundaryCallCount++;
+ return undefined;
+ },
+ });
+
+ expect(boundaryCallCount).toBe(1);
+ const secondStepMessages = capturedMessages[1] ?? [];
+ // user, assistant(tool-call), tool-result — unchanged.
+ expect(secondStepMessages).toHaveLength(3);
+ expect(secondStepMessages[0]?.role).toBe("user");
+ expect(secondStepMessages[1]?.role).toBe("assistant");
+ expect(secondStepMessages[2]?.role).toBe("tool");
+ });
+
+ it("returns an empty array → treated as no replacement (history unchanged)", async () => {
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ onStepBoundary: () => [],
+ });
+
+ const secondStepMessages = capturedMessages[1] ?? [];
+ // Empty replacement is ignored — history unchanged.
+ expect(secondStepMessages).toHaveLength(3);
+ });
+
+ it("NOT called when a step has no tool calls (text-only turn) — there is no next step", async () => {
+ let boundaryCallCount = 0;
+ const provider = createFakeProvider([
+ [
+ { type: "text-delta", delta: "hello" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ onStepBoundary: () => {
+ boundaryCallCount++;
+ return undefined;
+ },
+ });
+
+ expect(boundaryCallCount).toBe(0);
+ });
+
+ it("multiple tool-call steps → called once per tool-call step, AFTER drainSteering (steering present in messages)", async () => {
+ let boundaryCallCount = 0;
+ const steeringMessage: ChatMessage = {
+ role: "user",
+ chunks: [{ type: "text", text: "steer!" }],
+ };
+ let sawSteeringAtBoundary = false;
+
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "tool-call", toolCallId: "tc2", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ drainSteering: () => [steeringMessage],
+ onStepBoundary: ({ messages }) => {
+ boundaryCallCount++;
+ // drainSteering runs BEFORE onStepBoundary, so the steering message
+ // must already be present in the boundary's `messages`.
+ if (messages.some((m) => m === steeringMessage)) {
+ sawSteeringAtBoundary = true;
+ }
+ return undefined;
+ },
+ });
+
+ // Steps 0 and 1 produced tool calls → boundary once each.
+ // Step 2 (text-only) ends the turn → no boundary. Total = 2.
+ expect(boundaryCallCount).toBe(2);
+ expect(sawSteeringAtBoundary).toBe(true);
+ expect(capturedMessages).toHaveLength(3);
+ });
+
+ it("receives the step's usage as stepUsage", async () => {
+ const seenUsages: Array<{ inputTokens: number; outputTokens: number }> = [];
+ const { provider } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 4242, outputTokens: 17 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ onStepBoundary: ({ stepUsage }) => {
+ seenUsages.push({
+ inputTokens: stepUsage.inputTokens,
+ outputTokens: stepUsage.outputTokens,
+ });
+ return undefined;
+ },
+ });
+
+ expect(seenUsages).toEqual([{ inputTokens: 4242, outputTokens: 17 }]);
+ });
+
+ it("omitted → strict no-op (byte-identical to before)", async () => {
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ const result = await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ // onStepBoundary omitted — must be a strict no-op.
+ });
+
+ const secondStepMessages = capturedMessages[1] ?? [];
+ expect(secondStepMessages).toHaveLength(3);
+ expect(result.messages).toHaveLength(3);
+ });
+
+ it("replacement adopted across multiple subsequent steps (history stays compacted)", async () => {
+ const compactedHistory: ChatMessage[] = [
+ { role: "system", chunks: [{ type: "text", text: "SUMMARY" }] },
+ ];
+ let boundaryCallCount = 0;
+ const { provider, capturedMessages } = createCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "tool-call", toolCallId: "tc2", toolName: "echo", input: {} },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const tool = createFakeTool("echo", async () => ({ content: "echoed" }));
+
+ await runTurn({
+ provider,
+ messages: [userMessage],
+ tools: [tool],
+ dispatch: { maxConcurrent: 1, eager: false },
+ conversationId: "conv-1",
+ turnId: "turn-1",
+ emit: () => {},
+ // Compact only at the FIRST boundary; subsequent boundaries return void.
+ onStepBoundary: ({ messages }) => {
+ boundaryCallCount++;
+ if (boundaryCallCount === 1) {
+ // Pre-replacement: user + assistant(tool-call) + tool result = 3.
+ expect(messages.length).toBe(3);
+ return compactedHistory;
+ }
+ return undefined;
+ },
+ });
+
+ expect(boundaryCallCount).toBe(2);
+ // After the FIRST boundary compacts to [SUMMARY], step 1's provider call
+ // (captured[1]) sees ONLY [SUMMARY] — the original user message is GONE,
+ // proving the replacement took effect before the next step.
+ const secondStepMessages = capturedMessages[1] ?? [];
+ expect(secondStepMessages).toHaveLength(1);
+ expect(secondStepMessages[0]).toEqual(compactedHistory[0]);
+ // Step 1 then produced tc2 + a tool result (pushed onto messages), so
+ // step 2's provider call (captured[2]) sees [SUMMARY, assistant(tc2),
+ // tool-result] = 3 — the compaction PERSISTED across step 1→2 (the
+ // SUMMARY is still heading the history; the original user message
+ // never came back).
+ const thirdStepMessages = capturedMessages[2] ?? [];
+ expect(thirdStepMessages).toHaveLength(3);
+ expect(thirdStepMessages[0]).toEqual(compactedHistory[0]);
+ expect(thirdStepMessages[1]?.role).toBe("assistant");
+ expect(thirdStepMessages[2]?.role).toBe("tool");
+ });
+ });
+
// ── Retry with backoff ──────────────────────────────────────────────────
//
// PURE tests: a fake `sleep` (records calls, resolves instantly, can abort
diff --git a/packages/kernel/src/runtime/run-turn.ts b/packages/kernel/src/runtime/run-turn.ts
index 3460033..76e2edf 100644
--- a/packages/kernel/src/runtime/run-turn.ts
+++ b/packages/kernel/src/runtime/run-turn.ts
@@ -725,6 +725,27 @@ export async function runTurn(input: RunTurnInput): Promise<RunTurnResult> {
for (const msg of steering) {
messages.push(msg);
}
+
+ // In-flight history replacement boundary: give the caller a chance
+ // to swap the running message history before the next step (e.g. to
+ // compact it when the context window nears capacity). The kernel names
+ // no feature and performs no I/O — it calls the callback and adopts
+ // whatever message list it returns, mirroring `drainSteering`. When the
+ // caller returns a list, the runtime replaces its working history with
+ // it (in place); `undefined`/empty leaves it unchanged. Only reached
+ // when there IS a next step (tool calls were produced).
+ if (input.onStepBoundary !== undefined) {
+ const replacement = await input.onStepBoundary({
+ stepUsage: stepResult.usage,
+ messages,
+ });
+ if (replacement !== undefined && replacement.length > 0) {
+ messages.length = 0;
+ for (const msg of replacement) {
+ messages.push(msg);
+ }
+ }
+ }
}
}
} finally {
diff --git a/packages/session-orchestrator/src/orchestrator.test.ts b/packages/session-orchestrator/src/orchestrator.test.ts
index 400ca0b..f61ff21 100644
--- a/packages/session-orchestrator/src/orchestrator.test.ts
+++ b/packages/session-orchestrator/src/orchestrator.test.ts
@@ -22,8 +22,10 @@ import { createLogger, runTurn } from "@dispatch/kernel";
import type { SystemPromptService } from "@dispatch/system-prompt";
import { describe, expect, it } from "vitest";
import {
+ type ConversationCompactedPayload,
type ConversationOpenedPayload,
type ConversationStatusChangedPayload,
+ conversationCompacted,
createCompactionService,
createSessionOrchestrator,
createWarmService,
@@ -49,6 +51,7 @@ function createInMemoryStore(): ConversationStore & {
const effortData = new Map<string, ReasoningEffort>();
const modelData = new Map<string, string>();
const workspaceIdData = new Map<string, string>();
+ const compactPercentData = new Map<string, number>();
// Track conversations that have a meta row. In the real store, append,
// setWorkspaceId, setConversationStatus, setConversationTitle, and
// setCompactedFrom all create a minimal meta row on first contact.
@@ -158,10 +161,12 @@ function createInMemoryStore(): ConversationStore & {
knownConversations.add(conversationId);
data.set(conversationId, [...messages]);
},
- async getCompactPercent() {
- return null;
+ async getCompactPercent(conversationId) {
+ return compactPercentData.get(conversationId) ?? null;
+ },
+ async setCompactPercent(conversationId, percent) {
+ compactPercentData.set(conversationId, percent);
},
- async setCompactPercent() {},
async forkHistory(_sourceId, targetId) {
knownConversations.add(targetId);
},
@@ -3985,6 +3990,366 @@ describe("system prompt: compaction flow", () => {
});
});
+describe("in-flight compaction", () => {
+ // Seeds a conversation with `count` alternating user/assistant text messages
+ // so the history is long enough to compact (> DEFAULT_KEEP_LAST_N = 10).
+ function seedHistory(
+ store: ReturnType<typeof createInMemoryStore>,
+ conversationId: string,
+ count: number,
+ ): void {
+ const messages: ChatMessage[] = [];
+ for (let i = 0; i < count; i++) {
+ messages.push({
+ role: i % 2 === 0 ? "user" : "assistant",
+ chunks: [{ type: "text", text: `seed message ${i}` }],
+ });
+ }
+ store.data.set(conversationId, messages);
+ }
+
+ // A provider whose `stream` serves a SCRIPT of per-call event lists, in
+ // order. Captures the messages passed to each call so a test can assert what
+ // the model saw at each step (incl. after in-flight compaction replaced it).
+ function createScriptedCapturingProvider(script: ProviderEvent[][]): {
+ provider: ProviderContract;
+ capturedMessages: ChatMessage[][];
+ } {
+ const capturedMessages: ChatMessage[][] = [];
+ let callIndex = 0;
+ const provider: ProviderContract = {
+ id: "fake",
+ stream(messages) {
+ capturedMessages.push([...messages]);
+ const events = script[callIndex] ?? [];
+ callIndex++;
+ return (async function* () {
+ for (const event of events) {
+ yield event;
+ }
+ })();
+ },
+ };
+ return { provider, capturedMessages };
+ }
+
+ function echoTool(): ToolContract {
+ return {
+ name: "echo",
+ description: "echo",
+ parameters: { type: "object" },
+ execute: async () => ({ content: "echoed" }),
+ };
+ }
+
+ it("triggers when a step's usage exceeds the threshold: history is compacted mid-turn and the prompt continues with the summary", async () => {
+ const store = createInMemoryStore();
+ seedHistory(store, "conv-inflight", 15); // > keepLastN(10) → compactable
+
+ // contextWindow 1000, default percent 85 → threshold 850.
+ // Step 0 emits a tool call + usage(inputTokens 900) → 910 > 850 → trigger.
+ // Then the compaction summary call, then step 1 ends the turn.
+ const { provider, capturedMessages } = createScriptedCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 900, outputTokens: 10 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ // Compaction summary call (performCompaction):
+ [
+ { type: "text-delta", delta: "COMPACTED SUMMARY" },
+ { type: "finish", reason: "stop" },
+ ],
+ // Step 1 (post-compaction) — the turn CONTINUES:
+ [
+ { type: "text-delta", delta: "all done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const compactedEvents: ConversationCompactedPayload[] = [];
+
+ const { orchestrator } = createSessionOrchestrator({
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [echoTool()],
+ applyToolsFilter: identityApplyToolsFilter,
+ resolveModel: () => ({ provider, model: "model" }),
+ resolveModelInfo: async () => ({ id: "test/model", contextWindow: 1000 }),
+ runTurn,
+ emit: (hook, payload) => {
+ if (hook === conversationCompacted) {
+ compactedEvents.push(payload as ConversationCompactedPayload);
+ }
+ },
+ });
+
+ const { events, onEvent } = collectEvents();
+
+ await orchestrator.handleMessage({
+ conversationId: "conv-inflight",
+ text: "keep working overnight",
+ onEvent,
+ modelName: "test/model",
+ });
+
+ // 1) The conversationCompacted event fired mid-turn.
+ expect(compactedEvents).toHaveLength(1);
+ expect(compactedEvents[0]?.conversationId).toBe("conv-inflight");
+ expect(compactedEvents[0]?.messagesSummarized).toBeGreaterThan(0);
+ expect(compactedEvents[0]?.messagesKept).toBe(10);
+
+ // 2) The store history was replaced: it now begins with the system summary
+ // message, and the OLDEST seed messages are gone (summarized). The most
+ // recent messages are retained (keepLastN = 10), so some later seed
+ // messages may survive — that is correct.
+ const stored = store.data.get("conv-inflight") ?? [];
+ expect(stored.length).toBeGreaterThan(0);
+ expect(stored[0]?.role).toBe("system");
+ expect(stored[0]?.chunks[0]).toMatchObject({ type: "text" });
+ const firstText = (stored[0]?.chunks[0] as { text: string } | undefined)?.text ?? "";
+ expect(firstText).toContain("COMPACTED SUMMARY");
+ // The earliest seed messages were summarized away (not retained).
+ expect(
+ stored.some((m) => m.chunks.some((c) => c.type === "text" && c.text === "seed message 0")),
+ ).toBe(false);
+
+ // 3) The turn CONTINUED after compaction: 3 provider calls happened
+ // (step 0, compaction summary, step 1) and the final assistant text
+ // was produced + persisted.
+ expect(capturedMessages).toHaveLength(3);
+ const step1Messages = capturedMessages[2] ?? [];
+ // Step 1 saw the COMPACTED history: it must start with the summary
+ // system message, NOT the original seed/user prefix.
+ expect(step1Messages[0]?.role).toBe("system");
+
+ const turnSealed = events.some((e) => e.type === "turn-sealed");
+ expect(turnSealed).toBe(true);
+ });
+
+ it("does NOT trigger when the step usage is below the threshold (history unchanged, no event)", async () => {
+ const store = createInMemoryStore();
+ seedHistory(store, "conv-below", 15);
+
+ // contextWindow 1000 → threshold 850. Step usage 100 < 850 → no trigger.
+ const { provider, capturedMessages } = createScriptedCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 100, outputTokens: 5 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const compactedEvents: ConversationCompactedPayload[] = [];
+
+ const { orchestrator } = createSessionOrchestrator({
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [echoTool()],
+ applyToolsFilter: identityApplyToolsFilter,
+ resolveModel: () => ({ provider, model: "model" }),
+ resolveModelInfo: async () => ({ id: "test/model", contextWindow: 1000 }),
+ runTurn,
+ emit: (hook, payload) => {
+ if (hook === conversationCompacted) {
+ compactedEvents.push(payload as ConversationCompactedPayload);
+ }
+ },
+ });
+
+ await orchestrator.handleMessage({
+ conversationId: "conv-below",
+ text: "hi",
+ onEvent: () => {},
+ modelName: "test/model",
+ });
+
+ // No compaction event, and only 2 provider calls (no summary call).
+ expect(compactedEvents).toHaveLength(0);
+ expect(capturedMessages).toHaveLength(2);
+ // The seed messages are still the start of history (uncompacted).
+ const stored = store.data.get("conv-below") ?? [];
+ expect(stored[0]?.chunks[0]).toMatchObject({ type: "text", text: "seed message 0" });
+ });
+
+ it("does NOT trigger when auto-compact is disabled (compact percent = 0)", async () => {
+ const store = createInMemoryStore();
+ seedHistory(store, "conv-disabled", 15);
+ await store.setCompactPercent("conv-disabled", 0);
+
+ // Usage would exceed the default threshold, but percent=0 disables it.
+ const { provider, capturedMessages } = createScriptedCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 950, outputTokens: 10 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const compactedEvents: ConversationCompactedPayload[] = [];
+
+ const { orchestrator } = createSessionOrchestrator({
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [echoTool()],
+ applyToolsFilter: identityApplyToolsFilter,
+ resolveModel: () => ({ provider, model: "model" }),
+ resolveModelInfo: async () => ({ id: "test/model", contextWindow: 1000 }),
+ runTurn,
+ emit: (hook, payload) => {
+ if (hook === conversationCompacted) {
+ compactedEvents.push(payload as ConversationCompactedPayload);
+ }
+ },
+ });
+
+ await orchestrator.handleMessage({
+ conversationId: "conv-disabled",
+ text: "hi",
+ onEvent: () => {},
+ modelName: "test/model",
+ });
+
+ expect(compactedEvents).toHaveLength(0);
+ expect(capturedMessages).toHaveLength(2);
+ });
+
+ it("does NOT trigger on a text-only turn (no tool calls → no next step → no boundary)", async () => {
+ const store = createInMemoryStore();
+ seedHistory(store, "conv-textonly", 15);
+
+ // Single text-only step with high usage — but no tool calls → the turn
+ // ends → there is no step boundary to compact at (post-seal handles it).
+ const { provider, capturedMessages } = createScriptedCapturingProvider([
+ [
+ { type: "text-delta", delta: "final answer" },
+ { type: "usage", usage: { inputTokens: 950, outputTokens: 10 } },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const compactedEvents: ConversationCompactedPayload[] = [];
+
+ const { orchestrator } = createSessionOrchestrator({
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [],
+ applyToolsFilter: identityApplyToolsFilter,
+ resolveModel: () => ({ provider, model: "model" }),
+ resolveModelInfo: async () => ({ id: "test/model", contextWindow: 1000 }),
+ runTurn,
+ emit: (hook, payload) => {
+ if (hook === conversationCompacted) {
+ compactedEvents.push(payload as ConversationCompactedPayload);
+ }
+ },
+ });
+
+ await orchestrator.handleMessage({
+ conversationId: "conv-textonly",
+ text: "hi",
+ onEvent: () => {},
+ modelName: "test/model",
+ });
+
+ // No in-flight compaction (only 1 provider call — the turn ended).
+ expect(compactedEvents).toHaveLength(0);
+ expect(capturedMessages).toHaveLength(1);
+ });
+
+ it("the manual compaction SERVICE still refuses while a conversation is generating, but in-flight compaction runs anyway", async () => {
+ // This documents the two-path design: compact() (the service) guards on
+ // activeConversations and refuses mid-turn; the in-flight path bypasses
+ // that guard (it IS the mid-turn path) using performCompaction directly.
+ const store = createInMemoryStore();
+ seedHistory(store, "conv-twopath", 15);
+
+ const { provider } = createScriptedCapturingProvider([
+ [
+ { type: "tool-call", toolCallId: "tc1", toolName: "echo", input: {} },
+ { type: "usage", usage: { inputTokens: 900, outputTokens: 10 } },
+ { type: "finish", reason: "tool-calls" },
+ ],
+ [
+ { type: "text-delta", delta: "SUMMARY" },
+ { type: "finish", reason: "stop" },
+ ],
+ [
+ { type: "text-delta", delta: "done" },
+ { type: "finish", reason: "stop" },
+ ],
+ ]);
+
+ const compactedEvents: ConversationCompactedPayload[] = [];
+ const activeConversations = new Set<string>();
+
+ const { orchestrator } = createSessionOrchestrator({
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [echoTool()],
+ applyToolsFilter: identityApplyToolsFilter,
+ resolveModel: () => ({ provider, model: "model" }),
+ resolveModelInfo: async () => ({ id: "test/model", contextWindow: 1000 }),
+ runTurn,
+ emit: (hook, payload) => {
+ if (hook === conversationCompacted) {
+ compactedEvents.push(payload as ConversationCompactedPayload);
+ }
+ },
+ });
+
+ // The compaction SERVICE shares the orchestrator's activeConversations set;
+ // build it against the SAME set so the guard reflects reality.
+ const compactionService = createCompactionService(
+ {
+ conversationStore: store,
+ resolveProvider: () => provider,
+ resolveTools: () => [],
+ applyToolsFilter: identityApplyToolsFilter,
+ runTurn,
+ emit: () => {},
+ },
+ activeConversations,
+ );
+
+ // Drive a turn that triggers in-flight compaction. We can't easily inspect
+ // activeConversations mid-turn, so we assert the observable contract:
+ // in-flight compaction produced an event (it ran WHILE active), and the
+ // store was compacted.
+ await orchestrator.handleMessage({
+ conversationId: "conv-twopath",
+ text: "hi",
+ onEvent: () => {},
+ modelName: "test/model",
+ });
+
+ expect(compactedEvents).toHaveLength(1);
+ const stored = store.data.get("conv-twopath") ?? [];
+ expect(stored[0]?.role).toBe("system");
+
+ // After the turn settles (idle), the manual service CAN compact (no longer
+ // active) — and it succeeds (history is compactable again only if long
+ // enough; here it is short post-compaction, so it reports too-short, which
+ // proves the service path is reachable and its guard is the ONLY reason it
+ // would have refused mid-turn).
+ const manual = await compactionService.compact("conv-twopath");
+ // Post-compaction the history is short (summary + ~10 + turn tail) → the
+ // service reports an error (too short / threshold), NOT "generating".
+ expect("error" in manual).toBe(true);
+ if ("error" in manual) {
+ expect(manual.error).not.toBe("conversation is generating");
+ }
+ });
+});
+
describe("per-turn memory telemetry", () => {
function capturingLogger(): { logger: Logger; records: LogRecord[] } {
let id = 0;
diff --git a/packages/session-orchestrator/src/orchestrator.ts b/packages/session-orchestrator/src/orchestrator.ts
index aaf418a..6e5cfca 100644
--- a/packages/session-orchestrator/src/orchestrator.ts
+++ b/packages/session-orchestrator/src/orchestrator.ts
@@ -899,6 +899,79 @@ export function createSessionOrchestrator(
...(effectiveComputerId !== undefined ? { computerId: effectiveComputerId } : {}),
...(deps.now !== undefined ? { now: deps.now } : {}),
...(drainSteering !== undefined ? { drainSteering } : {}),
+ // In-flight compaction: at every tool-result boundary the kernel
+ // calls this with the step's usage + the running messages. When the
+ // context size exceeds the compact-percent threshold (percent of the
+ // model's context window), the old history is summarized and
+ // replaced with [summary, ...recent] — mid-turn, without stopping —
+ // so a long-running turn (e.g. left overnight) does not run out of
+ // context. This is DISTINCT from the post-seal auto-compact below:
+ // that one runs AFTER the turn ends (preparing the next turn) and
+ // refuses while the conversation is active; this one runs DURING the
+ // turn (saving the running turn) and uses the live step usage (not
+ // persisted metrics, which are only written at turn end). When the
+ // threshold is not exceeded, compaction is disabled (percent 0), or
+ // the model's context window is unknown, it returns void and the
+ // kernel keeps its history unchanged (a strict no-op).
+ onStepBoundary: async ({ stepUsage, messages }) => {
+ const stored = await deps.conversationStore.getCompactPercent(conversationId);
+ const percent = stored ?? DEFAULT_COMPACT_PERCENT;
+ if (percent <= 0) return; // auto-compact disabled
+ // contextSize mirrors the persisted definition: this step's
+ // inputTokens + outputTokens (the prompt the NEXT step would
+ // inherit, grown by this step's output).
+ const contextSize = stepUsage.inputTokens + stepUsage.outputTokens;
+ if (effectiveModelName === undefined || deps.resolveModelInfo === undefined) return;
+ const info = await deps.resolveModelInfo(effectiveModelName);
+ if (info?.contextWindow === undefined) return;
+ const threshold = Math.floor(info.contextWindow * (percent / 100));
+ if (contextSize < threshold) return; // threshold not exceeded
+
+ const keepLastN = DEFAULT_KEEP_LAST_N;
+ turnLogger?.info("compaction:in-flight", {
+ conversationId,
+ turnId,
+ contextSize,
+ threshold,
+ percent,
+ });
+ const outcome = await performCompaction(
+ {
+ conversationStore: deps.conversationStore,
+ resolveProvider: deps.resolveProvider,
+ ...(deps.resolveModel !== undefined ? { resolveModel: deps.resolveModel } : {}),
+ ...(deps.resolveSystemPrompt !== undefined
+ ? { resolveSystemPrompt: deps.resolveSystemPrompt }
+ : {}),
+ ...(deps.resolveConcurrencyLimiter !== undefined
+ ? { resolveConcurrencyLimiter: deps.resolveConcurrencyLimiter }
+ : {}),
+ ...(deps.logger !== undefined ? { logger: deps.logger } : {}),
+ ...(deps.now !== undefined ? { now: deps.now } : {}),
+ // emit is required by performCompaction; fall back to a no-op
+ // when the orchestrator was constructed without one (tests).
+ emit: deps.emit ?? noopEmit,
+ },
+ conversationId,
+ { keepLastN, modelName: effectiveModelName },
+ );
+ if ("error" in outcome) {
+ turnLogger?.warn("compaction:in-flight:skipped", {
+ conversationId,
+ turnId,
+ error: outcome.error,
+ });
+ return; // too short / empty summary / unknown model → no replacement
+ }
+ // Replace the kernel's running history with the summary + the
+ // kernel's OWN most-recent N messages. Using the kernel's messages
+ // (not the store's) preserves mid-turn steering messages and the
+ // vision-transformed provider view the kernel already holds — no
+ // re-transcription needed. The STORE was updated by performCompaction
+ // with the canonical (un-transformed) recent messages.
+ const recent = messages.slice(messages.length - keepLastN);
+ return [outcome.summaryMessage, ...recent];
+ },
};
// Persist the user message at turn start so it has a seq
@@ -1296,6 +1369,16 @@ export function createWarmService(
const DEFAULT_KEEP_LAST_N = 10;
const DEFAULT_COMPACT_PERCENT = 85;
+/**
+ * No-op emit used as a fallback when the orchestrator is constructed without an
+ * `emit` (some tests). `performCompaction` requires a non-optional `emit` (it
+ * emits `conversationCompacted`); the in-flight path degrades to emitting
+ * nothing rather than skipping compaction entirely. Generic-typed so it
+ * satisfies `PerformCompactionDeps["emit"]` for any hook payload type.
+ */
+const noopEmit: <TPayload>(hook: EventHookDescriptor<TPayload>, payload: TPayload) => void =
+ () => {};
+
const COMPACTION_SYSTEM_PROMPT =
"You are a conversation summarizer. Summarize the following conversation concord concisely but comprehensively. " +
"Focus on key decisions, context, file paths, and any unresolved questions. " +
@@ -1317,6 +1400,192 @@ function formatMessagesForSummary(messages: readonly ChatMessage[]): string {
.join("\n\n");
}
+/**
+ * Deps for {@link performCompaction} — the subset of `SessionOrchestratorDeps`
+ * needed to summarize old history, fork it to an archive, and replace it with
+ * a summary + recent messages. Structural so both the compaction SERVICE
+ * (`compact`, manual + post-seal auto) and the IN-FLIGHT compaction path (the
+ * turn loop's `onStepBoundary`) can call the same shared core without duplicating
+ * the summarization/fork/replace/emit logic. The active-conversation guard and
+ * the threshold check are the CALLERS' policy (they differ between the two
+ * paths) and are NOT performed here.
+ */
+interface PerformCompactionDeps {
+ readonly conversationStore: ConversationStore;
+ readonly resolveProvider: () => ProviderContract;
+ readonly resolveModel?: (
+ modelName: string,
+ ) => { provider: ProviderContract; model: string } | undefined;
+ readonly resolveSystemPrompt?: () => SystemPromptService | undefined;
+ readonly resolveConcurrencyLimiter?: () => ConcurrencyLimiter | undefined;
+ readonly logger?: Logger;
+ readonly now?: () => number;
+ readonly emit: <TPayload>(hook: EventHookDescriptor<TPayload>, payload: TPayload) => void;
+}
+
+/** Result of a successful {@link performCompaction}. */
+interface PerformCompactionResult {
+ readonly summary: string;
+ readonly newConversationId: string;
+ readonly messagesSummarized: number;
+ readonly messagesKept: number;
+ /**
+ * The system-role summary message that heads the compacted history
+ * (`[summaryMessage, ...recentKept]`). Returned so the in-flight caller can
+ * build the kernel's replacement history with the SAME summary object.
+ */
+ readonly summaryMessage: ChatMessage;
+}
+
+/**
+ * The shared compaction core: load the conversation history from the store,
+ * summarize the oldest `history.length - keepLastN` messages via a provider
+ * stream, fork the full pre-compaction history to an archive (non-destructive),
+ * and replace the live history with `[summaryMessage, ...recentKept]`. Emits
+ * `conversationCompacted`. Returns the result (incl. the `summaryMessage`) or an
+ * error object.
+ *
+ * Performs NO active-conversation guard and NO threshold check — those are the
+ * callers' policy. No-ops (returns an error) when the conversation is too
+ * short to compact (≤ keepLastN messages) or the summary is empty.
+ */
+async function performCompaction(
+ deps: PerformCompactionDeps,
+ conversationId: string,
+ opts: { readonly keepLastN?: number; readonly modelName?: string },
+): Promise<PerformCompactionResult | { readonly error: string }> {
+ const history = await deps.conversationStore.load(conversationId);
+ const keepLastN = opts?.keepLastN ?? DEFAULT_KEEP_LAST_N;
+
+ if (history.length <= keepLastN) {
+ return { error: "conversation too short to compact" };
+ }
+
+ // Split: old messages to summarize + recent messages to keep.
+ const toSummarize = history.slice(0, history.length - keepLastN);
+ const toKeep = history.slice(history.length - keepLastN);
+
+ // Resolve provider
+ let provider: ProviderContract;
+ let modelOverride: string | undefined;
+ if (opts?.modelName !== undefined && deps.resolveModel !== undefined) {
+ const resolved = deps.resolveModel(opts.modelName);
+ if (resolved === undefined) return { error: `unknown model: ${opts.modelName}` };
+ provider = resolved.provider;
+ modelOverride = resolved.model;
+ } else {
+ provider = deps.resolveProvider();
+ }
+
+ // Wrap with concurrency limiting (same as the main turn path).
+ const compactionLimiter = deps.resolveConcurrencyLimiter?.();
+ if (compactionLimiter !== undefined) {
+ const compactionWorkspaceId = await deps.conversationStore.getWorkspaceId(conversationId);
+ provider = wrapProviderWithConcurrency(
+ provider,
+ compactionLimiter,
+ conversationId,
+ compactionWorkspaceId,
+ deps.now?.() ?? Date.now(),
+ );
+ }
+
+ // Build the summarization request: system prompt + conversation text + instruction
+ const conversationText = formatMessagesForSummary(toSummarize);
+ const summaryRequest: ChatMessage = {
+ role: "user",
+ chunks: [
+ {
+ type: "text",
+ text: `Please summarize the following conversation:\n\n${conversationText}`,
+ },
+ ],
+ };
+
+ const providerOpts: ProviderStreamOptions = {
+ maxTokens: 2000,
+ ...(modelOverride !== undefined ? { model: modelOverride } : {}),
+ ...(deps.logger !== undefined
+ ? { logger: deps.logger.child({ conversationId, attrs: { compaction: true } }) }
+ : {}),
+ };
+
+ // Reconstruct the system prompt on compaction (fresh variable
+ // resolution — files/cwd/time may have changed since construction).
+ // The construct call also persists the result for future turns. When
+ // the system-prompt service is unavailable, fall back to the
+ // compaction-only system prompt (current behavior, no regression).
+ const systemPromptService = deps.resolveSystemPrompt?.();
+ let compactionSystemPrompt: string;
+ if (systemPromptService !== undefined) {
+ const cwd = (await deps.conversationStore.getEffectiveCwd(conversationId)) ?? process.cwd();
+ const workspaceId = await deps.conversationStore.getWorkspaceId(conversationId);
+ const computerId = await deps.conversationStore.getEffectiveComputer(conversationId);
+ const constructed = await systemPromptService.construct(conversationId, cwd, {
+ ...(opts?.modelName !== undefined ? { model: opts.modelName } : {}),
+ workspaceId,
+ ...(computerId !== null ? { computerId } : {}),
+ });
+ compactionSystemPrompt = `${constructed}\n\n${COMPACTION_SYSTEM_PROMPT}`;
+ } else {
+ compactionSystemPrompt = COMPACTION_SYSTEM_PROMPT;
+ }
+
+ // Call the provider and accumulate the summary
+ let summary = "";
+ for await (const event of provider.stream([summaryRequest], [], {
+ ...providerOpts,
+ systemPrompt: compactionSystemPrompt,
+ })) {
+ if ((event as ProviderEvent).type === "text-delta") {
+ summary += (event as { delta: string }).delta;
+ } else if ((event as ProviderEvent).type === "error") {
+ return { error: (event as { message: string }).message };
+ }
+ }
+
+ if (summary.trim().length === 0) {
+ return { error: "model produced empty summary" };
+ }
+
+ // Non-destructive: fork the full pre-compaction history to a new
+ // archive conversation. The original conversation keeps its ID
+ // (so messaging between agents still works) and gets the compacted
+ // content. The archive inherits the original's compactedFrom,
+ // creating a chain: A → Y → X → ...
+ const archiveId = crypto.randomUUID();
+ await deps.conversationStore.forkHistory(conversationId, archiveId);
+
+ // Replace history: [system: summary] + recent messages
+ const summaryMessage: ChatMessage = {
+ role: "system",
+ chunks: [
+ {
+ type: "text",
+ text: `The following is a summary of the previous conversation:\n\n${summary}`,
+ },
+ ],
+ };
+
+ await deps.conversationStore.replaceHistory(conversationId, [summaryMessage, ...toKeep]);
+ await deps.conversationStore.setCompactedFrom(conversationId, archiveId);
+
+ deps.emit(conversationCompacted, {
+ conversationId,
+ newConversationId: archiveId,
+ messagesSummarized: toSummarize.length,
+ messagesKept: toKeep.length,
+ });
+
+ return {
+ summary,
+ newConversationId: archiveId,
+ messagesSummarized: toSummarize.length,
+ messagesKept: toKeep.length,
+ summaryMessage,
+ };
+}
+
export function createCompactionService(
deps: SessionOrchestratorDeps & {
readonly emit: <TPayload>(hook: EventHookDescriptor<TPayload>, payload: TPayload) => void;
@@ -1329,14 +1598,9 @@ export function createCompactionService(
return { error: "conversation is generating" };
}
- const history = await deps.conversationStore.load(conversationId);
- const keepLastN = opts?.keepLastN ?? DEFAULT_KEEP_LAST_N;
-
- if (history.length <= keepLastN) {
- return { error: "conversation too short to compact" };
- }
-
// Auto mode: check if contextSize exceeds percent of contextWindow.
+ // The threshold check is the caller's policy (uses persisted turn
+ // metrics) and is NOT performed by the shared `performCompaction` core.
if (opts?.auto === true) {
const stored = await deps.conversationStore.getCompactPercent(conversationId);
const percent = stored ?? DEFAULT_COMPACT_PERCENT;
@@ -1360,129 +1624,22 @@ export function createCompactionService(
if (contextSize < threshold) return { error: "threshold not exceeded" };
}
- // Split: old messages to summarize + recent messages to keep.
- const toSummarize = history.slice(0, history.length - keepLastN);
- const toKeep = history.slice(history.length - keepLastN);
-
- // Resolve provider
- let provider: ProviderContract;
- let modelOverride: string | undefined;
- if (opts?.modelName !== undefined && deps.resolveModel !== undefined) {
- const resolved = deps.resolveModel(opts.modelName);
- if (resolved === undefined) return { error: `unknown model: ${opts.modelName}` };
- provider = resolved.provider;
- modelOverride = resolved.model;
- } else {
- provider = deps.resolveProvider();
- }
-
- // Wrap with concurrency limiting (same as the main turn path).
- const compactionLimiter = deps.resolveConcurrencyLimiter?.();
- if (compactionLimiter !== undefined) {
- const compactionWorkspaceId = await deps.conversationStore.getWorkspaceId(conversationId);
- provider = wrapProviderWithConcurrency(
- provider,
- compactionLimiter,
- conversationId,
- compactionWorkspaceId,
- deps.now?.() ?? Date.now(),
- );
- }
-
- // Build the summarization request: system prompt + conversation text + instruction
- const conversationText = formatMessagesForSummary(toSummarize);
- const summaryRequest: ChatMessage = {
- role: "user",
- chunks: [
- {
- type: "text",
- text: `Please summarize the following conversation:\n\n${conversationText}`,
- },
- ],
- };
-
- const providerOpts: ProviderStreamOptions = {
- maxTokens: 2000,
- ...(modelOverride !== undefined ? { model: modelOverride } : {}),
- ...(deps.logger !== undefined
- ? { logger: deps.logger.child({ conversationId, attrs: { compaction: true } }) }
- : {}),
- };
-
- // Reconstruct the system prompt on compaction (fresh variable
- // resolution — files/cwd/time may have changed since construction).
- // The construct call also persists the result for future turns. When
- // the system-prompt service is unavailable, fall back to the
- // compaction-only system prompt (current behavior, no regression).
- const systemPromptService = deps.resolveSystemPrompt?.();
- let compactionSystemPrompt: string;
- if (systemPromptService !== undefined) {
- const cwd = (await deps.conversationStore.getEffectiveCwd(conversationId)) ?? process.cwd();
- const workspaceId = await deps.conversationStore.getWorkspaceId(conversationId);
- const computerId = await deps.conversationStore.getEffectiveComputer(conversationId);
- const constructed = await systemPromptService.construct(conversationId, cwd, {
- ...(opts?.modelName !== undefined ? { model: opts.modelName } : {}),
- workspaceId,
- ...(computerId !== null ? { computerId } : {}),
- });
- compactionSystemPrompt = `${constructed}\n\n${COMPACTION_SYSTEM_PROMPT}`;
- } else {
- compactionSystemPrompt = COMPACTION_SYSTEM_PROMPT;
- }
-
- // Call the provider and accumulate the summary
- let summary = "";
- for await (const event of provider.stream([summaryRequest], [], {
- ...providerOpts,
- systemPrompt: compactionSystemPrompt,
- })) {
- if ((event as ProviderEvent).type === "text-delta") {
- summary += (event as { delta: string }).delta;
- } else if ((event as ProviderEvent).type === "error") {
- return { error: (event as { message: string }).message };
- }
- }
-
- if (summary.trim().length === 0) {
- return { error: "model produced empty summary" };
- }
-
- // Non-destructive: fork the full pre-compaction history to a new
- // archive conversation. The original conversation keeps its ID
- // (so messaging between agents still works) and gets the compacted
- // content. The archive inherits the original's compactedFrom,
- // creating a chain: A → Y → X → ...
- const archiveId = crypto.randomUUID();
- await deps.conversationStore.forkHistory(conversationId, archiveId);
-
- // Replace history: [system: summary] + recent messages
- const summaryMessage: ChatMessage = {
- role: "system",
- chunks: [
- {
- type: "text",
- text: `The following is a summary of the previous conversation:\n\n${summary}`,
- },
- ],
- };
-
- await deps.conversationStore.replaceHistory(conversationId, [summaryMessage, ...toKeep]);
- await deps.conversationStore.setCompactedFrom(conversationId, archiveId);
+ // Shared summarize + fork + replace + emit core (no active guard, no
+ // threshold — those are this caller's policy above). The length check
+ // ("conversation too short to compact") lives inside the core.
+ const outcome = await performCompaction(deps, conversationId, {
+ ...(opts?.keepLastN !== undefined ? { keepLastN: opts.keepLastN } : {}),
+ ...(opts?.modelName !== undefined ? { modelName: opts.modelName } : {}),
+ });
+ if ("error" in outcome) return { error: outcome.error };
+ const { summary, newConversationId, messagesSummarized, messagesKept } = outcome;
const result: CompactionResult = {
summary,
- newConversationId: archiveId,
- messagesSummarized: toSummarize.length,
- messagesKept: toKeep.length,
+ newConversationId,
+ messagesSummarized,
+ messagesKept,
};
-
- deps.emit(conversationCompacted, {
- conversationId,
- newConversationId: archiveId,
- messagesSummarized: toSummarize.length,
- messagesKept: toKeep.length,
- });
-
return result;
},
};