Merge pull request #4600 from earendil-works/stream-fn-in-compaction

fix(coding-agent): route compaction through streamFn

packages/coding-agent/CHANGELOG.md

@@ -8,6 +8,7 @@
 
 ### Fixed
 
+- Fixed compaction summary calls to use custom agent stream functions, preserving proxy-backed LLM routing ([#4484](https://github.com/earendil-works/pi/issues/4484)).
 - Fixed user-scoped npm pi packages to install under `~/.pi/agent/npm/` instead of npm's global package root, avoiding permission errors with system-managed Node installs ([#4587](https://github.com/earendil-works/pi/issues/4587)).
 - Fixed Mistral requests failing after the global fetch proxy/timeout workaround by removing the custom fetch override and using undici 8 dispatcher support instead ([#4619](https://github.com/earendil-works/pi/issues/4619)).
 - Fixed default output token requests for models whose advertised output limit is effectively their full context window, avoiding impossible provider requests inherited from `@earendil-works/pi-ai` ([#4614](https://github.com/earendil-works/pi/issues/4614)).

packages/coding-agent/src/core/agent-session.ts

@@ -31,6 +31,7 @@ import {
 	isContextOverflow,
 	modelsAreEqual,
 	resetApiProviders,
+	streamSimple,
 } from "@earendil-works/pi-ai";
 import { theme } from "../modes/interactive/theme/theme.js";
 import { stripFrontmatter } from "../utils/frontmatter.js";
@@ -367,6 +368,18 @@ export class AgentSession {
 		throw new Error(formatNoApiKeyFoundMessage(model.provider));
 	}
 
+	private async _getCompactionRequestAuth(model: Model<any>): Promise<{
+		apiKey?: string;
+		headers?: Record<string, string>;
+	}> {
+		if (this.agent.streamFn === streamSimple) {
+			return this._getRequiredRequestAuth(model);
+		}
+
+		const result = await this._modelRegistry.getApiKeyAndHeaders(model);
+		return result.ok ? { apiKey: result.apiKey, headers: result.headers } : {};
+	}
+
 	/**
 	 * Install tool hooks once on the Agent instance.
 	 *
@@ -1618,7 +1631,7 @@ export class AgentSession {
 				throw new Error(formatNoModelSelectedMessage());
 			}
 
-			const { apiKey, headers } = await this._getRequiredRequestAuth(this.model);
+			const { apiKey, headers } = await this._getCompactionRequestAuth(this.model);
 
 			const pathEntries = this.sessionManager.getBranch();
 			const settings = this.settingsManager.getCompactionSettings();
@@ -1676,6 +1689,7 @@ export class AgentSession {
 					customInstructions,
 					this._compactionAbortController.signal,
 					this.thinkingLevel,
+					this.agent.streamFn,
 				);
 				summary = result.summary;
 				firstKeptEntryId = result.firstKeptEntryId;
@@ -1864,18 +1878,25 @@ export class AgentSession {
 				return;
 			}
 
-			const authResult = await this._modelRegistry.getApiKeyAndHeaders(this.model);
-			if (!authResult.ok || !authResult.apiKey) {
-				this._emit({
-					type: "compaction_end",
-					reason,
-					result: undefined,
-					aborted: false,
-					willRetry: false,
-				});
-				return;
+			let apiKey: string | undefined;
+			let headers: Record<string, string> | undefined;
+			if (this.agent.streamFn === streamSimple) {
+				const authResult = await this._modelRegistry.getApiKeyAndHeaders(this.model);
+				if (!authResult.ok || !authResult.apiKey) {
+					this._emit({
+						type: "compaction_end",
+						reason,
+						result: undefined,
+						aborted: false,
+						willRetry: false,
+					});
+					return;
+				}
+				apiKey = authResult.apiKey;
+				headers = authResult.headers;
+			} else {
+				({ apiKey, headers } = await this._getCompactionRequestAuth(this.model));
 			}
-			const { apiKey, headers } = authResult;
 
 			const pathEntries = this.sessionManager.getBranch();
 
@@ -1941,6 +1962,7 @@ export class AgentSession {
 					undefined,
 					this._autoCompactionAbortController.signal,
 					this.thinkingLevel,
+					this.agent.streamFn,
 				);
 				summary = compactResult.summary;
 				firstKeptEntryId = compactResult.firstKeptEntryId;

packages/coding-agent/src/core/compaction/compaction.ts

@@ -5,8 +5,8 @@
  * and after compaction the session is reloaded.
  */
 
-import type { AgentMessage, ThinkingLevel } from "@earendil-works/pi-agent-core";
-import type { AssistantMessage, Model, Usage } from "@earendil-works/pi-ai";
+import type { AgentMessage, StreamFn, ThinkingLevel } from "@earendil-works/pi-agent-core";
+import type { AssistantMessage, Context, Model, SimpleStreamOptions, Usage } from "@earendil-works/pi-ai";
 import { completeSimple } from "@earendil-works/pi-ai";
 import {
 	convertToLlm,
@@ -523,6 +523,34 @@ Use this EXACT format:
 
 Keep each section concise. Preserve exact file paths, function names, and error messages.`;
 
+function createSummarizationOptions(
+	model: Model<any>,
+	maxTokens: number,
+	apiKey: string | undefined,
+	headers: Record<string, string> | undefined,
+	signal: AbortSignal | undefined,
+	thinkingLevel: ThinkingLevel | undefined,
+): SimpleStreamOptions {
+	const options: SimpleStreamOptions = { maxTokens, signal, apiKey, headers };
+	if (model.reasoning && thinkingLevel && thinkingLevel !== "off") {
+		options.reasoning = thinkingLevel;
+	}
+	return options;
+}
+
+async function completeSummarization(
+	model: Model<any>,
+	context: Context,
+	options: SimpleStreamOptions,
+	streamFn?: StreamFn,
+): Promise<AssistantMessage> {
+	if (!streamFn) {
+		return completeSimple(model, context, options);
+	}
+	const stream = await streamFn(model, context, options);
+	return stream.result();
+}
+
 /**
  * Generate a summary of the conversation using the LLM.
  * If previousSummary is provided, uses the update prompt to merge.
@@ -531,12 +559,13 @@ export async function generateSummary(
 	currentMessages: AgentMessage[],
 	model: Model<any>,
 	reserveTokens: number,
-	apiKey: string,
+	apiKey: string | undefined,
 	headers?: Record<string, string>,
 	signal?: AbortSignal,
 	customInstructions?: string,
 	previousSummary?: string,
 	thinkingLevel?: ThinkingLevel,
+	streamFn?: StreamFn,
 ): Promise<string> {
 	const maxTokens = Math.min(
 		Math.floor(0.8 * reserveTokens),
@@ -569,15 +598,13 @@ export async function generateSummary(
 		},
 	];
 
-	const completionOptions =
-		model.reasoning && thinkingLevel && thinkingLevel !== "off"
-			? { maxTokens, signal, apiKey, headers, reasoning: thinkingLevel }
-			: { maxTokens, signal, apiKey, headers };
+	const completionOptions = createSummarizationOptions(model, maxTokens, apiKey, headers, signal, thinkingLevel);
 
-	const response = await completeSimple(
+	const response = await completeSummarization(
 		model,
 		{ systemPrompt: SUMMARIZATION_SYSTEM_PROMPT, messages: summarizationMessages },
 		completionOptions,
+		streamFn,
 	);
 
 	if (response.stopReason === "error") {
@@ -720,11 +747,12 @@ Be concise. Focus on what's needed to understand the kept suffix.`;
 export async function compact(
 	preparation: CompactionPreparation,
 	model: Model<any>,
-	apiKey: string,
+	apiKey: string | undefined,
 	headers?: Record<string, string>,
 	customInstructions?: string,
 	signal?: AbortSignal,
 	thinkingLevel?: ThinkingLevel,
+	streamFn?: StreamFn,
 ): Promise<CompactionResult> {
 	const {
 		firstKeptEntryId,
@@ -754,6 +782,7 @@ export async function compact(
 						customInstructions,
 						previousSummary,
 						thinkingLevel,
+						streamFn,
 					)
 				: Promise.resolve("No prior history."),
 			generateTurnPrefixSummary(
@@ -764,6 +793,7 @@ export async function compact(
 				headers,
 				signal,
 				thinkingLevel,
+				streamFn,
 			),
 		]);
 		// Merge into single summary
@@ -780,6 +810,7 @@ export async function compact(
 			customInstructions,
 			previousSummary,
 			thinkingLevel,
+			streamFn,
 		);
 	}
 
@@ -806,10 +837,11 @@ async function generateTurnPrefixSummary(
 	messages: AgentMessage[],
 	model: Model<any>,
 	reserveTokens: number,
-	apiKey: string,
+	apiKey: string | undefined,
 	headers?: Record<string, string>,
 	signal?: AbortSignal,
 	thinkingLevel?: ThinkingLevel,
+	streamFn?: StreamFn,
 ): Promise<string> {
 	const maxTokens = Math.min(
 		Math.floor(0.5 * reserveTokens),
@@ -826,12 +858,11 @@ async function generateTurnPrefixSummary(
 		},
 	];
 
-	const response = await completeSimple(
+	const response = await completeSummarization(
 		model,
 		{ systemPrompt: SUMMARIZATION_SYSTEM_PROMPT, messages: summarizationMessages },
-		model.reasoning && thinkingLevel && thinkingLevel !== "off"
-			? { maxTokens, signal, apiKey, headers, reasoning: thinkingLevel }
-			: { maxTokens, signal, apiKey, headers },
+		createSummarizationOptions(model, maxTokens, apiKey, headers, signal, thinkingLevel),
+		streamFn,
 	);
 
 	if (response.stopReason === "error") {

packages/coding-agent/test/suite/agent-session-compaction.test.ts

@@ -1,4 +1,9 @@
-import { type AssistantMessage, fauxAssistantMessage, type Model } from "@earendil-works/pi-ai";
+import {
+	type AssistantMessage,
+	createAssistantMessageEventStream,
+	fauxAssistantMessage,
+	type Model,
+} from "@earendil-works/pi-ai";
 import { afterEach, describe, expect, it, vi } from "vitest";
 import { createHarness, type Harness } from "./harness.js";
 
@@ -41,6 +46,43 @@ function createAssistant(
 	};
 }
 
+function useSummaryStreamFn(harness: Harness, summary: string): () => number {
+	let callCount = 0;
+	harness.session.agent.streamFn = (model) => {
+		callCount++;
+		const stream = createAssistantMessageEventStream();
+		queueMicrotask(() => {
+			const message: AssistantMessage = {
+				...fauxAssistantMessage(summary),
+				api: model.api,
+				provider: model.provider,
+				model: model.id,
+				usage: createUsage(10),
+			};
+			stream.push({ type: "done", reason: "stop", message });
+		});
+		return stream;
+	};
+	return () => callCount;
+}
+
+function seedCompactableSession(harness: Harness): void {
+	const now = Date.now();
+	harness.sessionManager.appendMessage({
+		role: "user",
+		content: [{ type: "text", text: "message to compact" }],
+		timestamp: now - 1000,
+	});
+	harness.sessionManager.appendMessage(
+		createAssistant(harness, {
+			stopReason: "stop",
+			totalTokens: 100,
+			timestamp: now - 500,
+		}),
+	);
+	harness.session.agent.state.messages = harness.sessionManager.buildSessionContext().messages;
+}
+
 describe("AgentSession compaction characterization", () => {
 	const harnesses: Harness[] = [];
 
@@ -95,6 +137,32 @@ describe("AgentSession compaction characterization", () => {
 		await expect(harness.session.compact()).rejects.toThrow(`No API key found for ${harness.getModel().provider}.`);
 	});
 
+	it("manually compacts with a custom streamFn when registry auth is absent", async () => {
+		const harness = await createHarness({ withConfiguredAuth: false });
+		harnesses.push(harness);
+		seedCompactableSession(harness);
+		const getStreamCallCount = useSummaryStreamFn(harness, "summary from custom stream");
+
+		const result = await harness.session.compact();
+
+		expect(result.summary).toBe("summary from custom stream");
+		expect(getStreamCallCount()).toBe(1);
+	});
+
+	it("auto-compacts with a custom streamFn when registry auth is absent", async () => {
+		const harness = await createHarness({ withConfiguredAuth: false });
+		harnesses.push(harness);
+		seedCompactableSession(harness);
+		const getStreamCallCount = useSummaryStreamFn(harness, "auto summary from custom stream");
+		const sessionInternals = harness.session as unknown as SessionWithCompactionInternals;
+
+		await sessionInternals._runAutoCompaction("threshold", false);
+
+		const compactionEntries = harness.sessionManager.getEntries().filter((entry) => entry.type === "compaction");
+		expect(compactionEntries).toHaveLength(1);
+		expect(getStreamCallCount()).toBe(1);
+	});
+
 	it("cancels in-progress manual compaction when abortCompaction is called", async () => {
 		const harness = await createHarness({
 			extensionFactories: [