pin all CLI installations to explicit versions and use pro models by default (#283)
* pin all CLI installations to explicit versions and use pro models by default - codex: pin @openai/codex to 0.101.0 (was "latest") - opencode: pin opencode-ai to 1.1.56 (was "latest") - gemini: pin gemini-cli to v0.28.2 via new tag param on installFromGithub - cursor: pin to 2026.01.28-fd13201 via direct tarball download (replaces curl install script) - add installFromDirectTarball to install.ts for versioned tarball URLs - gemini auto effort now uses pro-preview instead of flash-preview - test runner model overrides updated to use pro-preview consistently Co-authored-by: Cursor <cursoragent@cursor.com> * increase activity timeout * fix delegation timeout --------- Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
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pullfrog[bot]
parent
9071c0ae6c
commit
ceadb3120a
@@ -139,6 +139,7 @@ export const claude = agent({
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cwd: process.cwd(),
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env: process.env,
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stdio: ["ignore", "pipe", "pipe"],
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activityTimeout: 0, // disabled: process-level timeout in main.ts handles this (subprocess timeout would kill orchestrator during delegation)
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onStdout: async (chunk) => {
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finalOutput += chunk;
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+6
-1
@@ -14,6 +14,10 @@ import { spawn } from "../utils/subprocess.ts";
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import { ThinkingTimer } from "../utils/timer.ts";
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import { type AgentRunContext, agent } from "./shared.ts";
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// pinned CLI version — no 1-1 package.json dependency for the CLI package
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// (package.json has @openai/codex-sdk which is the SDK, not the CLI)
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const CODEX_CLI_VERSION = "0.101.0";
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// configuration based on effort level
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// https://developers.openai.com/codex/models/
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type ModelReasoningEffort = "minimal" | "low" | "medium" | "high" | "xhigh";
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@@ -124,7 +128,7 @@ async function installCodex(): Promise<string> {
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const cliPath = await installFromNpmTarball({
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packageName: "@openai/codex",
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version: "latest",
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version: CODEX_CLI_VERSION,
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executablePath: "bin/codex.js",
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installDependencies: true,
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});
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@@ -225,6 +229,7 @@ export const codex = agent({
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cwd: process.cwd(),
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env,
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stdio: ["ignore", "pipe", "pipe"],
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activityTimeout: 0, // disabled: process-level timeout in main.ts handles this (subprocess timeout would kill orchestrator during delegation)
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onStdout: async (chunk) => {
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finalOutput += chunk;
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+12
-4
@@ -10,10 +10,15 @@ import type { Effort } from "../external.ts";
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import { ghPullfrogMcpName } from "../external.ts";
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import { markActivity } from "../utils/activity.ts";
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import { log } from "../utils/cli.ts";
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import { installFromCurl } from "../utils/install.ts";
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import { installFromDirectTarball } from "../utils/install.ts";
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import { ThinkingTimer } from "../utils/timer.ts";
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import { type AgentRunContext, agent } from "./shared.ts";
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// pinned CLI version — cursor-agent is downloaded as a tarball from downloads.cursor.com.
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// the version format is {date}-{commit_hash}. update by inspecting the install script:
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// curl -fsSL https://cursor.com/install | grep DOWNLOAD_URL
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const CURSOR_CLI_VERSION = "2026.01.28-fd13201";
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// effort configuration for Cursor
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// only "max" overrides the model; mini/auto use default ("auto")
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const cursorEffortModels: Record<Effort, string | null> = {
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@@ -95,9 +100,12 @@ type CursorEvent =
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| CursorResultEvent;
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async function installCursor(): Promise<string> {
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return await installFromCurl({
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installUrl: "https://cursor.com/install",
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executableName: "cursor-agent",
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const os = process.platform === "darwin" ? "darwin" : "linux";
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const arch = process.arch === "arm64" ? "arm64" : "x64";
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return await installFromDirectTarball({
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url: `https://downloads.cursor.com/lab/${CURSOR_CLI_VERSION}/${os}/${arch}/agent-cli-package.tar.gz`,
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executablePath: "cursor-agent",
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stripComponents: 1,
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});
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}
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+6
-1
@@ -24,7 +24,7 @@ const geminiEffortConfig: Record<Effort, { model: string; thinkingLevel: string
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// pass the model directly it works if we ever did need to do something like this,
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// we could write to .gemini/settings.json
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mini: { model: "gemini-3-flash-preview", thinkingLevel: "LOW" },
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auto: { model: "gemini-3-flash-preview", thinkingLevel: "HIGH" },
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auto: { model: "gemini-3-pro-preview", thinkingLevel: "HIGH" },
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max: { model: "gemini-3-pro-preview", thinkingLevel: "HIGH" },
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} as const;
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@@ -85,6 +85,9 @@ type GeminiEvent =
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| GeminiToolResultEvent
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| GeminiResultEvent;
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// pinned CLI version — gemini-cli is installed from GitHub releases, not npm
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const GEMINI_CLI_VERSION = "v0.28.2";
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// transient API error patterns that warrant a retry.
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// these are server-side issues, not client errors.
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const TRANSIENT_ERROR_PATTERNS = [
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@@ -191,6 +194,7 @@ async function installGemini(githubInstallationToken?: string): Promise<string>
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return await installFromGithub({
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owner: "google-gemini",
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repo: "gemini-cli",
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tag: GEMINI_CLI_VERSION,
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assetName: "gemini.js",
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...(githubInstallationToken && { githubInstallationToken }),
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});
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@@ -231,6 +235,7 @@ export const gemini = agent({
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cmd: "node",
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args: [cliPath, ...args],
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env: process.env,
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activityTimeout: 0, // disabled: process-level timeout in main.ts handles this (subprocess timeout would kill orchestrator during delegation)
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onStdout: async (chunk) => {
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const text = chunk.toString();
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finalOutput += text;
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+6
-1
@@ -12,6 +12,10 @@ import { spawn } from "../utils/subprocess.ts";
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import { ThinkingTimer } from "../utils/timer.ts";
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import { type AgentRunContext, agent } from "./shared.ts";
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// pinned CLI version — no 1-1 package.json dependency for the CLI package
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// (package.json has @opencode-ai/sdk which is the SDK, not the CLI)
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const OPENCODE_CLI_VERSION = "1.1.56";
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// known provider error patterns in stderr (from --print-logs output).
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// when OpenCode encounters these, it often goes silent on stdout (Issue #752),
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// so we surface them prominently instead of burying them in debug warnings.
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@@ -37,7 +41,7 @@ function detectProviderError(text: string): string | null {
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async function installOpencode(): Promise<string> {
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return await installFromNpmTarball({
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packageName: "opencode-ai",
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version: "latest",
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version: OPENCODE_CLI_VERSION,
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executablePath: "bin/opencode",
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installDependencies: true,
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});
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@@ -114,6 +118,7 @@ export const opencode = agent({
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cwd: repoDir,
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env,
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timeout: 600000, // 10 minutes timeout to prevent infinite hangs
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activityTimeout: 0, // disabled: process-level timeout in main.ts handles this (subprocess timeout would kill orchestrator during delegation)
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stdio: ["ignore", "pipe", "pipe"],
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onStdout: async (chunk) => {
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const text = chunk.toString();
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