fix(coding-agent): reuse session thinking for compaction closes #3438
This commit is contained in:
@@ -9,6 +9,7 @@
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### Fixed
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- Fixed missing `@sinclair/typebox` runtime dependency in `@mariozechner/pi-coding-agent`, so strict pnpm installs no longer fail with `ERR_MODULE_NOT_FOUND` when starting `pi` ([#3434](https://github.com/badlogic/pi-mono/issues/3434))
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- Fixed `/compact` to reuse the session thinking level for compaction summaries instead of forcing `high`, avoiding invalid reasoning-effort errors on `github-copilot/claude-opus-4.7` sessions configured for `medium` thinking ([#3438](https://github.com/badlogic/pi-mono/issues/3438))
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- Fixed shared/exported plain-text tool output to preserve indentation instead of collapsing leading whitespace in the web share page ([#3440](https://github.com/badlogic/pi-mono/issues/3440))
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- Fixed skill resolution to dedupe symlinked aliases by canonical path, so `pi config` no longer shows duplicate skill entries when `~/.pi/agent/skills` points to `~/.agents/skills` ([#3405](https://github.com/badlogic/pi-mono/issues/3405))
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- Fixed OpenRouter request attribution to include Pi app headers (`HTTP-Referer: https://pi.dev`, `X-OpenRouter-Title: pi`, `X-OpenRouter-Categories: cli-agent`) when sessions are created through the coding-agent SDK and install telemetry is enabled ([#3414](https://github.com/badlogic/pi-mono/issues/3414))
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@@ -1667,6 +1667,7 @@ export class AgentSession {
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headers,
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customInstructions,
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this._compactionAbortController.signal,
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this.thinkingLevel,
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);
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summary = result.summary;
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firstKeptEntryId = result.firstKeptEntryId;
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@@ -1931,6 +1932,7 @@ export class AgentSession {
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headers,
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undefined,
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this._autoCompactionAbortController.signal,
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this.thinkingLevel,
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);
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summary = compactResult.summary;
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firstKeptEntryId = compactResult.firstKeptEntryId;
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@@ -5,7 +5,7 @@
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* and after compaction the session is reloaded.
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*/
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import type { AgentMessage } from "@mariozechner/pi-agent-core";
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import type { AgentMessage, ThinkingLevel } from "@mariozechner/pi-agent-core";
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import type { AssistantMessage, Model, Usage } from "@mariozechner/pi-ai";
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import { completeSimple } from "@mariozechner/pi-ai";
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import {
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@@ -536,6 +536,7 @@ export async function generateSummary(
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signal?: AbortSignal,
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customInstructions?: string,
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previousSummary?: string,
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thinkingLevel?: ThinkingLevel,
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): Promise<string> {
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const maxTokens = Math.floor(0.8 * reserveTokens);
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@@ -565,9 +566,10 @@ export async function generateSummary(
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},
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];
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const completionOptions = model.reasoning
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? { maxTokens, signal, apiKey, headers, reasoning: "high" as const }
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: { maxTokens, signal, apiKey, headers };
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const completionOptions =
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model.reasoning && thinkingLevel && thinkingLevel !== "off"
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? { maxTokens, signal, apiKey, headers, reasoning: thinkingLevel }
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: { maxTokens, signal, apiKey, headers };
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const response = await completeSimple(
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model,
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@@ -719,6 +721,7 @@ export async function compact(
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headers?: Record<string, string>,
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customInstructions?: string,
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signal?: AbortSignal,
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thinkingLevel?: ThinkingLevel,
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): Promise<CompactionResult> {
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const {
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firstKeptEntryId,
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@@ -747,9 +750,18 @@ export async function compact(
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signal,
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customInstructions,
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previousSummary,
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thinkingLevel,
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)
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: Promise.resolve("No prior history."),
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generateTurnPrefixSummary(turnPrefixMessages, model, settings.reserveTokens, apiKey, headers, signal),
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generateTurnPrefixSummary(
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turnPrefixMessages,
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model,
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settings.reserveTokens,
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apiKey,
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headers,
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signal,
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thinkingLevel,
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),
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]);
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// Merge into single summary
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summary = `${historyResult}\n\n---\n\n**Turn Context (split turn):**\n\n${turnPrefixResult}`;
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@@ -764,6 +776,7 @@ export async function compact(
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signal,
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customInstructions,
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previousSummary,
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thinkingLevel,
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);
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}
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@@ -793,6 +806,7 @@ async function generateTurnPrefixSummary(
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apiKey: string,
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headers?: Record<string, string>,
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signal?: AbortSignal,
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thinkingLevel?: ThinkingLevel,
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): Promise<string> {
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const maxTokens = Math.floor(0.5 * reserveTokens); // Smaller budget for turn prefix
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const llmMessages = convertToLlm(messages);
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@@ -809,7 +823,9 @@ async function generateTurnPrefixSummary(
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const response = await completeSimple(
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model,
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{ systemPrompt: SUMMARIZATION_SYSTEM_PROMPT, messages: summarizationMessages },
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{ maxTokens, signal, apiKey, headers },
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model.reasoning && thinkingLevel && thinkingLevel !== "off"
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? { maxTokens, signal, apiKey, headers, reasoning: thinkingLevel }
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: { maxTokens, signal, apiKey, headers },
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);
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if (response.stopReason === "error") {
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@@ -56,18 +56,58 @@ describe("generateSummary reasoning options", () => {
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completeSimpleMock.mockResolvedValue(mockSummaryResponse);
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});
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it("sets reasoning=high for reasoning-capable models", async () => {
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await generateSummary(messages, createModel(true), 2000, "test-key");
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it("uses the provided thinking level for reasoning-capable models", async () => {
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await generateSummary(
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messages,
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createModel(true),
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2000,
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"test-key",
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undefined,
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undefined,
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undefined,
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undefined,
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"medium",
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);
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expect(completeSimpleMock).toHaveBeenCalledTimes(1);
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expect(completeSimpleMock.mock.calls[0][2]).toMatchObject({
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reasoning: "high",
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reasoning: "medium",
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apiKey: "test-key",
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});
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});
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it("does not set reasoning when thinking is off", async () => {
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await generateSummary(
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messages,
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createModel(true),
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2000,
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"test-key",
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undefined,
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undefined,
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undefined,
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undefined,
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"off",
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);
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expect(completeSimpleMock).toHaveBeenCalledTimes(1);
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expect(completeSimpleMock.mock.calls[0][2]).toMatchObject({
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apiKey: "test-key",
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});
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expect(completeSimpleMock.mock.calls[0][2]).not.toHaveProperty("reasoning");
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});
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it("does not set reasoning for non-reasoning models", async () => {
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await generateSummary(messages, createModel(false), 2000, "test-key");
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await generateSummary(
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messages,
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createModel(false),
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2000,
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"test-key",
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undefined,
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undefined,
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undefined,
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undefined,
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"medium",
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);
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expect(completeSimpleMock).toHaveBeenCalledTimes(1);
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expect(completeSimpleMock.mock.calls[0][2]).toMatchObject({
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